Note
Click here to download the full example code
Hyperparameter tuning with Ray Tune¶
Hyperparameter tuning can make the difference between an average model and a highly accurate one. Often simple things like choosing a different learning rate or changing a network layer size can have a dramatic impact on your model performance.
Fortunately, there are tools that help with finding the best combination of parameters. Ray Tune is an industry standard tool for distributed hyperparameter tuning. Ray Tune includes the latest hyperparameter search algorithms, integrates with TensorBoard and other analysis libraries, and natively supports distributed training through Ray’s distributed machine learning engine.
In this tutorial, we will show you how to integrate Ray Tune into your PyTorch training workflow. We will extend this tutorial from the PyTorch documentation for training a CIFAR10 image classifier.
As you will see, we only need to add some slight modifications. In particular, we need to
wrap data loading and training in functions,
make some network parameters configurable,
add checkpointing (optional),
and define the search space for the model tuning
To run this tutorial, please make sure the following packages are installed:
ray[tune]
: Distributed hyperparameter tuning librarytorchvision
: For the data transformers
Setup / Imports¶
Let’s start with the imports:
from functools import partial
import numpy as np
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import random_split
import torchvision
import torchvision.transforms as transforms
from ray import tune
from ray.tune import CLIReporter
from ray.tune.schedulers import ASHAScheduler
Most of the imports are needed for building the PyTorch model. Only the last three imports are for Ray Tune.
Data loaders¶
We wrap the data loaders in their own function and pass a global data directory. This way we can share a data directory between different trials.
def load_data(data_dir="./data"):
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
])
trainset = torchvision.datasets.CIFAR10(
root=data_dir, train=True, download=True, transform=transform)
testset = torchvision.datasets.CIFAR10(
root=data_dir, train=False, download=True, transform=transform)
return trainset, testset
Configurable neural network¶
We can only tune those parameters that are configurable. In this example, we can specify the layer sizes of the fully connected layers:
class Net(nn.Module):
def __init__(self, l1=120, l2=84):
super(Net, self).__init__()
self.conv1 = nn.Conv2d(3, 6, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(6, 16, 5)
self.fc1 = nn.Linear(16 * 5 * 5, l1)
self.fc2 = nn.Linear(l1, l2)
self.fc3 = nn.Linear(l2, 10)
def forward(self, x):
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 16 * 5 * 5)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.fc3(x)
return x
The train function¶
Now it gets interesting, because we introduce some changes to the example from the PyTorch documentation.
We wrap the training script in a function train_cifar(config, checkpoint_dir=None, data_dir=None)
.
As you can guess, the config
parameter will receive the hyperparameters we would like to
train with. The checkpoint_dir
parameter is used to restore checkpoints. The data_dir
specifies
the directory where we load and store the data, so multiple runs can share the same data source.
net = Net(config["l1"], config["l2"])
if checkpoint_dir:
model_state, optimizer_state = torch.load(
os.path.join(checkpoint_dir, "checkpoint"))
net.load_state_dict(model_state)
optimizer.load_state_dict(optimizer_state)
The learning rate of the optimizer is made configurable, too:
optimizer = optim.SGD(net.parameters(), lr=config["lr"], momentum=0.9)
We also split the training data into a training and validation subset. We thus train on 80% of the data and calculate the validation loss on the remaining 20%. The batch sizes with which we iterate through the training and test sets are configurable as well.
Adding (multi) GPU support with DataParallel¶
Image classification benefits largely from GPUs. Luckily, we can continue to use
PyTorch’s abstractions in Ray Tune. Thus, we can wrap our model in nn.DataParallel
to support data parallel training on multiple GPUs:
device = "cpu"
if torch.cuda.is_available():
device = "cuda:0"
if torch.cuda.device_count() > 1:
net = nn.DataParallel(net)
net.to(device)
By using a device
variable we make sure that training also works when we have
no GPUs available. PyTorch requires us to send our data to the GPU memory explicitly,
like this:
for i, data in enumerate(trainloader, 0):
inputs, labels = data
inputs, labels = inputs.to(device), labels.to(device)
The code now supports training on CPUs, on a single GPU, and on multiple GPUs. Notably, Ray also supports fractional GPUs so we can share GPUs among trials, as long as the model still fits on the GPU memory. We’ll come back to that later.
Communicating with Ray Tune¶
The most interesting part is the communication with Ray Tune:
with tune.checkpoint_dir(epoch) as checkpoint_dir:
path = os.path.join(checkpoint_dir, "checkpoint")
torch.save((net.state_dict(), optimizer.state_dict()), path)
tune.report(loss=(val_loss / val_steps), accuracy=correct / total)
Here we first save a checkpoint and then report some metrics back to Ray Tune. Specifically, we send the validation loss and accuracy back to Ray Tune. Ray Tune can then use these metrics to decide which hyperparameter configuration lead to the best results. These metrics can also be used to stop bad performing trials early in order to avoid wasting resources on those trials.
The checkpoint saving is optional, however, it is necessary if we wanted to use advanced schedulers like Population Based Training. Also, by saving the checkpoint we can later load the trained models and validate them on a test set.
Full training function¶
The full code example looks like this:
def train_cifar(config, checkpoint_dir=None, data_dir=None):
net = Net(config["l1"], config["l2"])
device = "cpu"
if torch.cuda.is_available():
device = "cuda:0"
if torch.cuda.device_count() > 1:
net = nn.DataParallel(net)
net.to(device)
criterion = nn.CrossEntropyLoss()
optimizer = optim.SGD(net.parameters(), lr=config["lr"], momentum=0.9)
if checkpoint_dir:
model_state, optimizer_state = torch.load(
os.path.join(checkpoint_dir, "checkpoint"))
net.load_state_dict(model_state)
optimizer.load_state_dict(optimizer_state)
trainset, testset = load_data(data_dir)
test_abs = int(len(trainset) * 0.8)
train_subset, val_subset = random_split(
trainset, [test_abs, len(trainset) - test_abs])
trainloader = torch.utils.data.DataLoader(
train_subset,
batch_size=int(config["batch_size"]),
shuffle=True,
num_workers=8)
valloader = torch.utils.data.DataLoader(
val_subset,
batch_size=int(config["batch_size"]),
shuffle=True,
num_workers=8)
for epoch in range(10): # loop over the dataset multiple times
running_loss = 0.0
epoch_steps = 0
for i, data in enumerate(trainloader, 0):
# get the inputs; data is a list of [inputs, labels]
inputs, labels = data
inputs, labels = inputs.to(device), labels.to(device)
# zero the parameter gradients
optimizer.zero_grad()
# forward + backward + optimize
outputs = net(inputs)
loss = criterion(outputs, labels)
loss.backward()
optimizer.step()
# print statistics
running_loss += loss.item()
epoch_steps += 1
if i % 2000 == 1999: # print every 2000 mini-batches
print("[%d, %5d] loss: %.3f" % (epoch + 1, i + 1,
running_loss / epoch_steps))
running_loss = 0.0
# Validation loss
val_loss = 0.0
val_steps = 0
total = 0
correct = 0
for i, data in enumerate(valloader, 0):
with torch.no_grad():
inputs, labels = data
inputs, labels = inputs.to(device), labels.to(device)
outputs = net(inputs)
_, predicted = torch.max(outputs.data, 1)
total += labels.size(0)
correct += (predicted == labels).sum().item()
loss = criterion(outputs, labels)
val_loss += loss.cpu().numpy()
val_steps += 1
with tune.checkpoint_dir(epoch) as checkpoint_dir:
path = os.path.join(checkpoint_dir, "checkpoint")
torch.save((net.state_dict(), optimizer.state_dict()), path)
tune.report(loss=(val_loss / val_steps), accuracy=correct / total)
print("Finished Training")
As you can see, most of the code is adapted directly from the original example.
Test set accuracy¶
Commonly the performance of a machine learning model is tested on a hold-out test set with data that has not been used for training the model. We also wrap this in a function:
def test_accuracy(net, device="cpu"):
trainset, testset = load_data()
testloader = torch.utils.data.DataLoader(
testset, batch_size=4, shuffle=False, num_workers=2)
correct = 0
total = 0
with torch.no_grad():
for data in testloader:
images, labels = data
images, labels = images.to(device), labels.to(device)
outputs = net(images)
_, predicted = torch.max(outputs.data, 1)
total += labels.size(0)
correct += (predicted == labels).sum().item()
return correct / total
The function also expects a device
parameter, so we can do the
test set validation on a GPU.
Configuring the search space¶
Lastly, we need to define Ray Tune’s search space. Here is an example:
config = {
"l1": tune.sample_from(lambda _: 2**np.random.randint(2, 9)),
"l2": tune.sample_from(lambda _: 2**np.random.randint(2, 9)),
"lr": tune.loguniform(1e-4, 1e-1),
"batch_size": tune.choice([2, 4, 8, 16])
}
The tune.sample_from()
function makes it possible to define your own sample
methods to obtain hyperparameters. In this example, the l1
and l2
parameters
should be powers of 2 between 4 and 256, so either 4, 8, 16, 32, 64, 128, or 256.
The lr
(learning rate) should be uniformly sampled between 0.0001 and 0.1. Lastly,
the batch size is a choice between 2, 4, 8, and 16.
At each trial, Ray Tune will now randomly sample a combination of parameters from these
search spaces. It will then train a number of models in parallel and find the best
performing one among these. We also use the ASHAScheduler
which will terminate bad
performing trials early.
We wrap the train_cifar
function with functools.partial
to set the constant
data_dir
parameter. We can also tell Ray Tune what resources should be
available for each trial:
gpus_per_trial = 2
# ...
result = tune.run(
partial(train_cifar, data_dir=data_dir),
resources_per_trial={"cpu": 8, "gpu": gpus_per_trial},
config=config,
num_samples=num_samples,
scheduler=scheduler,
progress_reporter=reporter,
checkpoint_at_end=True)
You can specify the number of CPUs, which are then available e.g.
to increase the num_workers
of the PyTorch DataLoader
instances. The selected
number of GPUs are made visible to PyTorch in each trial. Trials do not have access to
GPUs that haven’t been requested for them - so you don’t have to care about two trials
using the same set of resources.
Here we can also specify fractional GPUs, so something like gpus_per_trial=0.5
is
completely valid. The trials will then share GPUs among each other.
You just have to make sure that the models still fit in the GPU memory.
After training the models, we will find the best performing one and load the trained network from the checkpoint file. We then obtain the test set accuracy and report everything by printing.
The full main function looks like this:
def main(num_samples=10, max_num_epochs=10, gpus_per_trial=2):
data_dir = os.path.abspath("./data")
load_data(data_dir)
config = {
"l1": tune.sample_from(lambda _: 2 ** np.random.randint(2, 9)),
"l2": tune.sample_from(lambda _: 2 ** np.random.randint(2, 9)),
"lr": tune.loguniform(1e-4, 1e-1),
"batch_size": tune.choice([2, 4, 8, 16])
}
scheduler = ASHAScheduler(
metric="loss",
mode="min",
max_t=max_num_epochs,
grace_period=1,
reduction_factor=2)
reporter = CLIReporter(
# parameter_columns=["l1", "l2", "lr", "batch_size"],
metric_columns=["loss", "accuracy", "training_iteration"])
result = tune.run(
partial(train_cifar, data_dir=data_dir),
resources_per_trial={"cpu": 2, "gpu": gpus_per_trial},
config=config,
num_samples=num_samples,
scheduler=scheduler,
progress_reporter=reporter)
best_trial = result.get_best_trial("loss", "min", "last")
print("Best trial config: {}".format(best_trial.config))
print("Best trial final validation loss: {}".format(
best_trial.last_result["loss"]))
print("Best trial final validation accuracy: {}".format(
best_trial.last_result["accuracy"]))
best_trained_model = Net(best_trial.config["l1"], best_trial.config["l2"])
device = "cpu"
if torch.cuda.is_available():
device = "cuda:0"
if gpus_per_trial > 1:
best_trained_model = nn.DataParallel(best_trained_model)
best_trained_model.to(device)
best_checkpoint_dir = best_trial.checkpoint.value
model_state, optimizer_state = torch.load(os.path.join(
best_checkpoint_dir, "checkpoint"))
best_trained_model.load_state_dict(model_state)
test_acc = test_accuracy(best_trained_model, device)
print("Best trial test set accuracy: {}".format(test_acc))
if __name__ == "__main__":
# You can change the number of GPUs per trial here:
main(num_samples=10, max_num_epochs=10, gpus_per_trial=0)
Out:
Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to /var/lib/jenkins/workspace/beginner_source/data/cifar-10-python.tar.gz
Extracting /var/lib/jenkins/workspace/beginner_source/data/cifar-10-python.tar.gz to /var/lib/jenkins/workspace/beginner_source/data
Files already downloaded and verified
== Status ==
Current time: 2022-08-29 15:49:22 (running for 00:00:00.36)
Memory usage on this node: 1.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (9 PENDING, 1 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | PENDING | | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
[2m[36m(func pid=1624)[0m Files already downloaded and verified
[2m[36m(func pid=1624)[0m Files already downloaded and verified
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== Status ==
Current time: 2022-08-29 15:49:30 (running for 00:00:08.15)
Memory usage on this node: 2.6/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
[2m[36m(func pid=1658)[0m Files already downloaded and verified
== Status ==
Current time: 2022-08-29 15:49:35 (running for 00:00:13.18)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
[2m[36m(func pid=1624)[0m [1, 2000] loss: 2.315
== Status ==
Current time: 2022-08-29 15:49:40 (running for 00:00:18.19)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
[2m[36m(func pid=1658)[0m [1, 2000] loss: 2.318
== Status ==
Current time: 2022-08-29 15:49:45 (running for 00:00:23.29)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
[2m[36m(func pid=1624)[0m [1, 4000] loss: 1.091
== Status ==
Current time: 2022-08-29 15:49:50 (running for 00:00:28.31)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
== Status ==
Current time: 2022-08-29 15:49:55 (running for 00:00:33.33)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
[2m[36m(func pid=1658)[0m [1, 4000] loss: 1.155
== Status ==
Current time: 2022-08-29 15:50:00 (running for 00:00:38.36)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
[2m[36m(func pid=1624)[0m [1, 6000] loss: 0.669
== Status ==
Current time: 2022-08-29 15:50:05 (running for 00:00:43.38)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: None
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr |
|-------------------------+----------+-----------------+--------------+------+------+-------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 |
+-------------------------+----------+-----------------+--------------+------+------+-------------+
Result for train_cifar_26514_00001:
accuracy: 0.1421
date: 2022-08-29_15-50-10
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 2.302865869140625
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 41.69343328475952
time_this_iter_s: 41.69343328475952
time_total_s: 41.69343328475952
timestamp: 1661788210
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1624)[0m [1, 8000] loss: 0.478
== Status ==
Current time: 2022-08-29 15:50:15 (running for 00:00:53.08)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | | | |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.30287 | 0.1421 | 1 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:50:20 (running for 00:00:58.11)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | | | |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.30287 | 0.1421 | 1 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [2, 2000] loss: 2.301
[2m[36m(func pid=1624)[0m [1, 10000] loss: 0.360
== Status ==
Current time: 2022-08-29 15:50:25 (running for 00:01:03.14)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | | | |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.30287 | 0.1421 | 1 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:50:30 (running for 00:01:08.18)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | | | |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.30287 | 0.1421 | 1 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.308
date: 2022-08-29_15-50-34
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 1.7745955499887467
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 69.5168707370758
time_this_iter_s: 69.5168707370758
time_total_s: 69.5168707370758
timestamp: 1661788234
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [2, 4000] loss: 1.144
== Status ==
Current time: 2022-08-29 15:50:39 (running for 00:01:17.67)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.30287 | 0.1421 | 1 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:50:44 (running for 00:01:22.71)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.30287 | 0.1421 | 1 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [2, 2000] loss: 1.740
== Status ==
Current time: 2022-08-29 15:50:49 (running for 00:01:27.73)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: None | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.30287 | 0.1421 | 1 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00001:
accuracy: 0.1556
date: 2022-08-29_15-50-51
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 2
loss: 2.248111947917938
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 82.54844760894775
time_this_iter_s: 40.85501432418823
time_total_s: 82.54844760894775
timestamp: 1661788251
timesteps_since_restore: 0
training_iteration: 2
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 15:50:56 (running for 00:01:33.96)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.24811 | 0.1556 | 2 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [2, 4000] loss: 0.846
== Status ==
Current time: 2022-08-29 15:51:01 (running for 00:01:38.97)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.24811 | 0.1556 | 2 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 2000] loss: 2.224
== Status ==
Current time: 2022-08-29 15:51:06 (running for 00:01:44.00)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.24811 | 0.1556 | 2 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [2, 6000] loss: 0.546
== Status ==
Current time: 2022-08-29 15:51:11 (running for 00:01:49.01)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.24811 | 0.1556 | 2 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:51:16 (running for 00:01:54.03)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.24811 | 0.1556 | 2 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 4000] loss: 1.079
== Status ==
Current time: 2022-08-29 15:51:21 (running for 00:01:59.06)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.24811 | 0.1556 | 2 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [2, 8000] loss: 0.401
== Status ==
Current time: 2022-08-29 15:51:26 (running for 00:02:04.09)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.24811 | 0.1556 | 2 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00001:
accuracy: 0.255
date: 2022-08-29_15-51-31
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 3
loss: 2.084764797115326
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 122.60260915756226
time_this_iter_s: 40.0541615486145
time_total_s: 122.60260915756226
timestamp: 1661788291
timesteps_since_restore: 0
training_iteration: 3
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1624)[0m [2, 10000] loss: 0.317
== Status ==
Current time: 2022-08-29 15:51:36 (running for 00:02:13.99)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.08476 | 0.255 | 3 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:51:41 (running for 00:02:19.03)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -2.248111947917938 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.7746 | 0.308 | 1 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.08476 | 0.255 | 3 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.4367
date: 2022-08-29_15-51-43
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 2
loss: 1.5174541333079339
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 138.00173044204712
time_this_iter_s: 68.48485970497131
time_total_s: 138.00173044204712
timestamp: 1661788303
timesteps_since_restore: 0
training_iteration: 2
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [4, 2000] loss: 2.042
== Status ==
Current time: 2022-08-29 15:51:48 (running for 00:02:26.16)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.08476 | 0.255 | 3 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:51:53 (running for 00:02:31.19)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.08476 | 0.255 | 3 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [3, 2000] loss: 1.530
== Status ==
Current time: 2022-08-29 15:51:58 (running for 00:02:36.21)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.08476 | 0.255 | 3 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 4000] loss: 0.985
== Status ==
Current time: 2022-08-29 15:52:03 (running for 00:02:41.22)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.08476 | 0.255 | 3 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [3, 4000] loss: 0.750
== Status ==
Current time: 2022-08-29 15:52:08 (running for 00:02:46.25)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: None | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 2.08476 | 0.255 | 3 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00001:
accuracy: 0.3093
date: 2022-08-29_15-52-11
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 4
loss: 1.9242985949516296
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 162.91350936889648
time_this_iter_s: 40.31090021133423
time_total_s: 162.91350936889648
timestamp: 1661788331
timesteps_since_restore: 0
training_iteration: 4
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 15:52:16 (running for 00:02:54.31)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.9243 | 0.3093 | 4 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [3, 6000] loss: 0.494
== Status ==
Current time: 2022-08-29 15:52:21 (running for 00:02:59.33)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.9243 | 0.3093 | 4 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 2000] loss: 1.885
== Status ==
Current time: 2022-08-29 15:52:26 (running for 00:03:04.37)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.9243 | 0.3093 | 4 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [3, 8000] loss: 0.363
== Status ==
Current time: 2022-08-29 15:52:31 (running for 00:03:09.40)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.9243 | 0.3093 | 4 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:52:36 (running for 00:03:14.43)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.9243 | 0.3093 | 4 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 4000] loss: 0.902
[2m[36m(func pid=1624)[0m [3, 10000] loss: 0.285
== Status ==
Current time: 2022-08-29 15:52:41 (running for 00:03:19.46)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.9243 | 0.3093 | 4 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:52:46 (running for 00:03:24.49)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.51745 | 0.4367 | 2 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.9243 | 0.3093 | 4 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.4693
date: 2022-08-29_15-52-51
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 3
loss: 1.4389388314962388
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 205.78484201431274
time_this_iter_s: 67.78311157226562
time_total_s: 205.78484201431274
timestamp: 1661788371
timesteps_since_restore: 0
training_iteration: 3
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
Result for train_cifar_26514_00001:
accuracy: 0.3605
date: 2022-08-29_15-52-52
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 5
loss: 1.741312026119232
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 203.50352311134338
time_this_iter_s: 40.5900137424469
time_total_s: 203.50352311134338
timestamp: 1661788372
timesteps_since_restore: 0
training_iteration: 5
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 15:52:52 (running for 00:03:29.89)
Memory usage on this node: 2.6/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.74131 | 0.3605 | 5 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:52:57 (running for 00:03:34.92)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.74131 | 0.3605 | 5 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:53:02 (running for 00:03:39.94)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.74131 | 0.3605 | 5 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [4, 2000] loss: 1.404
[2m[36m(func pid=1658)[0m [6, 2000] loss: 1.706
== Status ==
Current time: 2022-08-29 15:53:07 (running for 00:03:44.96)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.74131 | 0.3605 | 5 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:53:12 (running for 00:03:49.97)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.74131 | 0.3605 | 5 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [4, 4000] loss: 0.690
== Status ==
Current time: 2022-08-29 15:53:17 (running for 00:03:55.00)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.74131 | 0.3605 | 5 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 4000] loss: 0.829
== Status ==
Current time: 2022-08-29 15:53:22 (running for 00:04:00.02)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.74131 | 0.3605 | 5 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [4, 6000] loss: 0.457
== Status ==
Current time: 2022-08-29 15:53:27 (running for 00:04:05.04)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.74131 | 0.3605 | 5 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00001:
accuracy: 0.4037
date: 2022-08-29_15-53-31
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 6
loss: 1.6382201398849487
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 242.97171211242676
time_this_iter_s: 39.468189001083374
time_total_s: 242.97171211242676
timestamp: 1661788411
timesteps_since_restore: 0
training_iteration: 6
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 15:53:36 (running for 00:04:14.36)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.63822 | 0.4037 | 6 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [4, 8000] loss: 0.338
== Status ==
Current time: 2022-08-29 15:53:41 (running for 00:04:19.39)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.63822 | 0.4037 | 6 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 2000] loss: 1.607
== Status ==
Current time: 2022-08-29 15:53:46 (running for 00:04:24.42)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.63822 | 0.4037 | 6 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [4, 10000] loss: 0.269
== Status ==
Current time: 2022-08-29 15:53:51 (running for 00:04:29.43)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.63822 | 0.4037 | 6 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:53:56 (running for 00:04:34.45)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.9242985949516296 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.43894 | 0.4693 | 3 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.63822 | 0.4037 | 6 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.524
date: 2022-08-29_15-53-57
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 4
loss: 1.3274063286542892
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 272.3220646381378
time_this_iter_s: 66.53722262382507
time_total_s: 272.3220646381378
timestamp: 1661788437
timesteps_since_restore: 0
training_iteration: 4
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [7, 4000] loss: 0.792
== Status ==
Current time: 2022-08-29 15:54:02 (running for 00:04:40.49)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.63822 | 0.4037 | 6 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:54:07 (running for 00:04:45.50)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.63822 | 0.4037 | 6 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [5, 2000] loss: 1.289
Result for train_cifar_26514_00001:
accuracy: 0.4214
date: 2022-08-29_15-54-11
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 7
loss: 1.5875390249729155
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 283.21664810180664
time_this_iter_s: 40.24493598937988
time_total_s: 283.21664810180664
timestamp: 1661788451
timesteps_since_restore: 0
training_iteration: 7
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 15:54:16 (running for 00:04:54.61)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.58754 | 0.4214 | 7 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [5, 4000] loss: 0.646
== Status ==
Current time: 2022-08-29 15:54:21 (running for 00:04:59.63)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.58754 | 0.4214 | 7 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 2000] loss: 1.548
== Status ==
Current time: 2022-08-29 15:54:26 (running for 00:05:04.66)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.58754 | 0.4214 | 7 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:54:31 (running for 00:05:09.68)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.58754 | 0.4214 | 7 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [5, 6000] loss: 0.436
== Status ==
Current time: 2022-08-29 15:54:36 (running for 00:05:14.71)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.58754 | 0.4214 | 7 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 4000] loss: 0.764
== Status ==
Current time: 2022-08-29 15:54:41 (running for 00:05:19.72)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.58754 | 0.4214 | 7 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [5, 8000] loss: 0.318
== Status ==
Current time: 2022-08-29 15:54:46 (running for 00:05:24.74)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: None | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.58754 | 0.4214 | 7 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00001:
accuracy: 0.4524
date: 2022-08-29_15-54-51
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 8
loss: 1.508380093717575
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 323.0486538410187
time_this_iter_s: 39.832005739212036
time_total_s: 323.0486538410187
timestamp: 1661788491
timesteps_since_restore: 0
training_iteration: 8
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1624)[0m [5, 10000] loss: 0.254
== Status ==
Current time: 2022-08-29 15:54:56 (running for 00:05:34.45)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.50838 | 0.4524 | 8 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:55:01 (running for 00:05:39.49)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.32741 | 0.524 | 4 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.50838 | 0.4524 | 8 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.53
date: 2022-08-29_15-55-05
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 5
loss: 1.307050661855936
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 340.12657356262207
time_this_iter_s: 67.80450892448425
time_total_s: 340.12657356262207
timestamp: 1661788505
timesteps_since_restore: 0
training_iteration: 5
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [9, 2000] loss: 1.492
== Status ==
Current time: 2022-08-29 15:55:10 (running for 00:05:48.28)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.50838 | 0.4524 | 8 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:55:15 (running for 00:05:53.32)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.50838 | 0.4524 | 8 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [6, 2000] loss: 1.238
[2m[36m(func pid=1658)[0m [9, 4000] loss: 0.739
== Status ==
Current time: 2022-08-29 15:55:20 (running for 00:05:58.34)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.50838 | 0.4524 | 8 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:55:25 (running for 00:06:03.36)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.50838 | 0.4524 | 8 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [6, 4000] loss: 0.610
== Status ==
Current time: 2022-08-29 15:55:30 (running for 00:06:08.37)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.50838 | 0.4524 | 8 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00001:
accuracy: 0.4739
date: 2022-08-29_15-55-32
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 9
loss: 1.4678424755334853
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 363.5377070903778
time_this_iter_s: 40.48905324935913
time_total_s: 363.5377070903778
timestamp: 1661788532
timesteps_since_restore: 0
training_iteration: 9
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 15:55:37 (running for 00:06:14.94)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.46784 | 0.4739 | 9 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [6, 6000] loss: 0.405
== Status ==
Current time: 2022-08-29 15:55:42 (running for 00:06:19.96)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.46784 | 0.4739 | 9 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 2000] loss: 1.446
== Status ==
Current time: 2022-08-29 15:55:47 (running for 00:06:24.99)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.46784 | 0.4739 | 9 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [6, 8000] loss: 0.307
== Status ==
Current time: 2022-08-29 15:55:52 (running for 00:06:30.01)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.46784 | 0.4739 | 9 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:55:57 (running for 00:06:35.04)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.46784 | 0.4739 | 9 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 4000] loss: 0.716
== Status ==
Current time: 2022-08-29 15:56:02 (running for 00:06:40.07)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.46784 | 0.4739 | 9 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [6, 10000] loss: 0.247
== Status ==
Current time: 2022-08-29 15:56:07 (running for 00:06:45.09)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.46784 | 0.4739 | 9 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:56:12 (running for 00:06:50.12)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (8 PENDING, 2 RUNNING)
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.30705 | 0.53 | 5 |
| train_cifar_26514_00001 | RUNNING | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.46784 | 0.4739 | 9 |
| train_cifar_26514_00002 | PENDING | | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
+-------------------------+----------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00001:
accuracy: 0.4799
date: 2022-08-29_15-56-12
done: true
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 10
loss: 1.4314878283500672
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 404.3413906097412
time_this_iter_s: 40.8036835193634
time_total_s: 404.3413906097412
timestamp: 1661788572
timesteps_since_restore: 0
training_iteration: 10
trial_id: '26514_00001'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1658)[0m Files already downloaded and verified
Result for train_cifar_26514_00000:
accuracy: 0.5455
date: 2022-08-29_15-56-13
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 6
loss: 1.262850860145688
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 408.3985130786896
time_this_iter_s: 68.2719395160675
time_total_s: 408.3985130786896
timestamp: 1661788573
timesteps_since_restore: 0
training_iteration: 6
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m Files already downloaded and verified
== Status ==
Current time: 2022-08-29 15:56:18 (running for 00:06:56.58)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:56:23 (running for 00:07:01.60)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [7, 2000] loss: 1.164
[2m[36m(func pid=1658)[0m [1, 2000] loss: 2.318
== Status ==
Current time: 2022-08-29 15:56:28 (running for 00:07:06.62)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:56:33 (running for 00:07:11.64)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [7, 4000] loss: 0.589
[2m[36m(func pid=1658)[0m [1, 4000] loss: 1.160
== Status ==
Current time: 2022-08-29 15:56:38 (running for 00:07:16.66)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:56:43 (running for 00:07:21.68)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [7, 6000] loss: 0.399
[2m[36m(func pid=1658)[0m [1, 6000] loss: 0.774
== Status ==
Current time: 2022-08-29 15:56:48 (running for 00:07:26.70)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:56:53 (running for 00:07:31.73)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [7, 8000] loss: 0.298
== Status ==
Current time: 2022-08-29 15:56:58 (running for 00:07:36.76)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 8000] loss: 0.580
== Status ==
Current time: 2022-08-29 15:57:03 (running for 00:07:41.79)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [7, 10000] loss: 0.234
== Status ==
Current time: 2022-08-29 15:57:08 (running for 00:07:46.82)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 10000] loss: 0.465
== Status ==
Current time: 2022-08-29 15:57:14 (running for 00:07:51.85)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=1
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.038730709564686
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.26285 | 0.5455 | 6 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | | | |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.5545
date: 2022-08-29_15-57-17
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 7
loss: 1.2413796038150788
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 472.5978603363037
time_this_iter_s: 64.19934725761414
time_total_s: 472.5978603363037
timestamp: 1661788637
timesteps_since_restore: 0
training_iteration: 7
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
Result for train_cifar_26514_00002:
accuracy: 0.1004
date: 2022-08-29_15-57-21
done: true
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 2.31799423866272
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 68.8598461151123
time_this_iter_s: 68.8598461151123
time_total_s: 68.8598461151123
timestamp: 1661788641
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00002'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 15:57:21 (running for 00:07:59.67)
Memory usage on this node: 2.6/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (7 PENDING, 2 RUNNING, 1 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00002 | RUNNING | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | PENDING | | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m Files already downloaded and verified
[2m[36m(func pid=1658)[0m Files already downloaded and verified
== Status ==
Current time: 2022-08-29 15:57:26 (running for 00:08:04.70)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [8, 2000] loss: 1.111
== Status ==
Current time: 2022-08-29 15:57:31 (running for 00:08:09.74)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:57:36 (running for 00:08:14.76)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 2000] loss: 2.063
[2m[36m(func pid=1624)[0m [8, 4000] loss: 0.571
== Status ==
Current time: 2022-08-29 15:57:41 (running for 00:08:19.78)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:57:46 (running for 00:08:24.80)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.302865869140625
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | | | |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00003:
accuracy: 0.1831
date: 2022-08-29_15-57-50
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 2.1382906749725343
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 28.344741582870483
time_this_iter_s: 28.344741582870483
time_total_s: 28.344741582870483
timestamp: 1661788670
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00003'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1624)[0m [8, 6000] loss: 0.382
== Status ==
Current time: 2022-08-29 15:57:55 (running for 00:08:33.07)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.13829 | 0.1831 | 1 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:58:00 (running for 00:08:38.11)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.13829 | 0.1831 | 1 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:58:05 (running for 00:08:43.14)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.13829 | 0.1831 | 1 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [8, 8000] loss: 0.289
[2m[36m(func pid=1658)[0m [2, 2000] loss: 2.128
== Status ==
Current time: 2022-08-29 15:58:10 (running for 00:08:48.16)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.13829 | 0.1831 | 1 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:58:15 (running for 00:08:53.22)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=2
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -1.882783040612936 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (6 PENDING, 2 RUNNING, 2 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00003 | RUNNING | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.13829 | 0.1831 | 1 |
| train_cifar_26514_00004 | PENDING | | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00003:
accuracy: 0.197
date: 2022-08-29_15-58-16
done: true
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 2
loss: 2.1150920837402345
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 54.889007806777954
time_this_iter_s: 26.54426622390747
time_total_s: 54.889007806777954
timestamp: 1661788696
timesteps_since_restore: 0
training_iteration: 2
trial_id: '26514_00003'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1658)[0m Files already downloaded and verified
[2m[36m(func pid=1658)[0m Files already downloaded and verified
[2m[36m(func pid=1624)[0m [8, 10000] loss: 0.226
== Status ==
Current time: 2022-08-29 15:58:21 (running for 00:08:59.62)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=3
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (5 PENDING, 2 RUNNING, 3 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00004 | RUNNING | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:58:26 (running for 00:09:04.66)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=3
Bracket: Iter 8.000: -1.508380093717575 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (5 PENDING, 2 RUNNING, 3 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.24138 | 0.5545 | 7 |
| train_cifar_26514_00004 | RUNNING | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.5726
date: 2022-08-29_15-58-29
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 8
loss: 1.2221424466505646
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 544.627580165863
time_this_iter_s: 72.02971982955933
time_total_s: 544.627580165863
timestamp: 1661788709
timesteps_since_restore: 0
training_iteration: 8
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
== Status ==
Current time: 2022-08-29 15:58:34 (running for 00:09:12.78)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=3
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (5 PENDING, 2 RUNNING, 3 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00004 | RUNNING | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 2000] loss: 2.299
== Status ==
Current time: 2022-08-29 15:58:39 (running for 00:09:17.82)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=3
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (5 PENDING, 2 RUNNING, 3 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00004 | RUNNING | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [9, 2000] loss: 1.074
== Status ==
Current time: 2022-08-29 15:58:44 (running for 00:09:22.84)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=3
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.2205782720565796
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (5 PENDING, 2 RUNNING, 3 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00004 | RUNNING | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | | | |
| train_cifar_26514_00005 | PENDING | | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00004:
accuracy: 0.1808
date: 2022-08-29_15-58-46
done: true
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 2.273141198730469
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 29.723151683807373
time_this_iter_s: 29.723151683807373
time_total_s: 29.723151683807373
timestamp: 1661788726
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00004'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1658)[0m Files already downloaded and verified
[2m[36m(func pid=1658)[0m Files already downloaded and verified
== Status ==
Current time: 2022-08-29 15:58:51 (running for 00:09:29.39)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [9, 4000] loss: 0.552
== Status ==
Current time: 2022-08-29 15:58:56 (running for 00:09:34.41)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 2000] loss: 2.412
== Status ==
Current time: 2022-08-29 15:59:01 (running for 00:09:39.43)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [9, 6000] loss: 0.370
== Status ==
Current time: 2022-08-29 15:59:06 (running for 00:09:44.45)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 4000] loss: 1.207
== Status ==
Current time: 2022-08-29 15:59:11 (running for 00:09:49.47)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [9, 8000] loss: 0.274
== Status ==
Current time: 2022-08-29 15:59:16 (running for 00:09:54.49)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 6000] loss: 0.803
== Status ==
Current time: 2022-08-29 15:59:21 (running for 00:09:59.52)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [9, 10000] loss: 0.222
== Status ==
Current time: 2022-08-29 15:59:26 (running for 00:10:04.54)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 8000] loss: 0.602
== Status ==
Current time: 2022-08-29 15:59:31 (running for 00:10:09.57)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22214 | 0.5726 | 8 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.5745
date: 2022-08-29_15-59-35
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 9
loss: 1.2214338063128292
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 610.4203913211823
time_this_iter_s: 65.79281115531921
time_total_s: 610.4203913211823
timestamp: 1661788775
timesteps_since_restore: 0
training_iteration: 9
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [1, 10000] loss: 0.483
== Status ==
Current time: 2022-08-29 15:59:40 (running for 00:10:18.57)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:59:45 (running for 00:10:23.60)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [10, 2000] loss: 1.022
[2m[36m(func pid=1658)[0m [1, 12000] loss: 0.402
== Status ==
Current time: 2022-08-29 15:59:50 (running for 00:10:28.62)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 15:59:55 (running for 00:10:33.65)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [10, 4000] loss: 0.533
[2m[36m(func pid=1658)[0m [1, 14000] loss: 0.343
== Status ==
Current time: 2022-08-29 16:00:00 (running for 00:10:38.67)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:00:05 (running for 00:10:43.70)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [10, 6000] loss: 0.361
[2m[36m(func pid=1658)[0m [1, 16000] loss: 0.303
== Status ==
Current time: 2022-08-29 16:00:10 (running for 00:10:48.72)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:00:15 (running for 00:10:53.74)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [10, 8000] loss: 0.270
[2m[36m(func pid=1658)[0m [1, 18000] loss: 0.268
== Status ==
Current time: 2022-08-29 16:00:20 (running for 00:10:58.77)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:00:25 (running for 00:11:03.79)
Memory usage on this node: 2.8/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [10, 10000] loss: 0.215
[2m[36m(func pid=1658)[0m [1, 20000] loss: 0.242
== Status ==
Current time: 2022-08-29 16:00:30 (running for 00:11:08.81)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:00:35 (running for 00:11:13.84)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=4
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (4 PENDING, 2 RUNNING, 4 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | RUNNING | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.22143 | 0.5745 | 9 |
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | PENDING | | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00000:
accuracy: 0.5733
date: 2022-08-29_16-00-39
done: true
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 10
loss: 1.2522373308330774
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 673.8709011077881
time_this_iter_s: 63.450509786605835
time_total_s: 673.8709011077881
timestamp: 1661788839
timesteps_since_restore: 0
training_iteration: 10
trial_id: '26514_00000'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1624)[0m Files already downloaded and verified
[2m[36m(func pid=1624)[0m Files already downloaded and verified
== Status ==
Current time: 2022-08-29 16:00:44 (running for 00:11:22.05)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=5
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (3 PENDING, 2 RUNNING, 5 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00005 | RUNNING | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | | | |
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | PENDING | | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00005:
accuracy: 0.1022
date: 2022-08-29_16-00-48
done: true
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 2.4324325805902483
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 121.50244855880737
time_this_iter_s: 121.50244855880737
time_total_s: 121.50244855880737
timestamp: 1661788848
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00005'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1658)[0m Files already downloaded and verified
[2m[36m(func pid=1658)[0m Files already downloaded and verified
== Status ==
Current time: 2022-08-29 16:00:53 (running for 00:11:30.91)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.288003533935547
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [1, 2000] loss: 2.043
== Status ==
Current time: 2022-08-29 16:00:58 (running for 00:11:35.95)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.288003533935547
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 2000] loss: 2.310
== Status ==
Current time: 2022-08-29 16:01:03 (running for 00:11:40.97)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.288003533935547
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [1, 4000] loss: 0.990
== Status ==
Current time: 2022-08-29 16:01:08 (running for 00:11:46.00)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.288003533935547
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 4000] loss: 1.136
== Status ==
Current time: 2022-08-29 16:01:13 (running for 00:11:51.02)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.288003533935547
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:01:18 (running for 00:11:56.05)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.288003533935547
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | | | |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00006:
accuracy: 0.2519
date: 2022-08-29_16-01-20
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 1.9627496683120726
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 40.821144580841064
time_this_iter_s: 40.821144580841064
time_total_s: 40.821144580841064
timestamp: 1661788880
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00006'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [1, 6000] loss: 0.711
== Status ==
Current time: 2022-08-29 16:01:25 (running for 00:12:02.88)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.96275 | 0.2519 | 1 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:01:30 (running for 00:12:07.90)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.96275 | 0.2519 | 1 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 8000] loss: 0.504
[2m[36m(func pid=1624)[0m [2, 2000] loss: 1.958
== Status ==
Current time: 2022-08-29 16:01:35 (running for 00:12:12.92)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.96275 | 0.2519 | 1 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:01:40 (running for 00:12:17.95)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.96275 | 0.2519 | 1 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 10000] loss: 0.388
== Status ==
Current time: 2022-08-29 16:01:45 (running for 00:12:22.98)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.96275 | 0.2519 | 1 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [2, 4000] loss: 0.969
== Status ==
Current time: 2022-08-29 16:01:50 (running for 00:12:28.00)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.96275 | 0.2519 | 1 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 12000] loss: 0.312
== Status ==
Current time: 2022-08-29 16:01:55 (running for 00:12:33.02)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.1150920837402345 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.96275 | 0.2519 | 1 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00006:
accuracy: 0.2566
date: 2022-08-29_16-01-58
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 2
loss: 2.0194857375144957
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 79.6861481666565
time_this_iter_s: 38.86500358581543
time_total_s: 79.6861481666565
timestamp: 1661788918
timesteps_since_restore: 0
training_iteration: 2
trial_id: '26514_00006'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [1, 14000] loss: 0.250
== Status ==
Current time: 2022-08-29 16:02:03 (running for 00:12:41.76)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 2.01949 | 0.2566 | 2 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:02:08 (running for 00:12:46.79)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 2.01949 | 0.2566 | 2 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [3, 2000] loss: 1.969
[2m[36m(func pid=1658)[0m [1, 16000] loss: 0.216
== Status ==
Current time: 2022-08-29 16:02:13 (running for 00:12:51.81)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 2.01949 | 0.2566 | 2 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:02:18 (running for 00:12:56.83)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 2.01949 | 0.2566 | 2 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:02:23 (running for 00:13:01.84)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 2.01949 | 0.2566 | 2 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 18000] loss: 0.186
[2m[36m(func pid=1624)[0m [3, 4000] loss: 0.991
== Status ==
Current time: 2022-08-29 16:02:29 (running for 00:13:06.86)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 2.01949 | 0.2566 | 2 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:02:34 (running for 00:13:11.88)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 2.01949 | 0.2566 | 2 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [1, 20000] loss: 0.165
Result for train_cifar_26514_00006:
accuracy: 0.2561
date: 2022-08-29_16-02-38
done: false
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 3
loss: 1.9571901675224304
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 119.54396033287048
time_this_iter_s: 39.85781216621399
time_total_s: 119.54396033287048
timestamp: 1661788958
timesteps_since_restore: 0
training_iteration: 3
trial_id: '26514_00006'
warmup_time: 0.003681182861328125
== Status ==
Current time: 2022-08-29 16:02:43 (running for 00:13:21.60)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95719 | 0.2561 | 3 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:02:48 (running for 00:13:26.62)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95719 | 0.2561 | 3 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | | | |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.3979
date: 2022-08-29_16-02-52
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 1.6291288662463426
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 124.8290343284607
time_this_iter_s: 124.8290343284607
time_total_s: 124.8290343284607
timestamp: 1661788972
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
[2m[36m(func pid=1624)[0m [4, 2000] loss: 1.973
== Status ==
Current time: 2022-08-29 16:02:57 (running for 00:13:35.76)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95719 | 0.2561 | 3 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:03:02 (running for 00:13:40.78)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95719 | 0.2561 | 3 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [2, 2000] loss: 1.617
[2m[36m(func pid=1624)[0m [4, 4000] loss: 0.983
== Status ==
Current time: 2022-08-29 16:03:07 (running for 00:13:45.81)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95719 | 0.2561 | 3 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:03:13 (running for 00:13:50.85)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95719 | 0.2561 | 3 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [2, 4000] loss: 0.793
== Status ==
Current time: 2022-08-29 16:03:18 (running for 00:13:55.87)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=6
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6258524618029595 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 PENDING, 2 RUNNING, 6 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00006 | RUNNING | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95719 | 0.2561 | 3 |
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | PENDING | | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00006:
accuracy: 0.2557
date: 2022-08-29_16-03-19
done: true
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 4
loss: 1.9527873064041137
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 160.40430665016174
time_this_iter_s: 40.86034631729126
time_total_s: 160.40430665016174
timestamp: 1661788999
timesteps_since_restore: 0
training_iteration: 4
trial_id: '26514_00006'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1624)[0m Files already downloaded and verified
[2m[36m(func pid=1624)[0m Files already downloaded and verified
[2m[36m(func pid=1658)[0m [2, 6000] loss: 0.515
== Status ==
Current time: 2022-08-29 16:03:24 (running for 00:14:02.49)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=7
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 PENDING, 2 RUNNING, 7 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | RUNNING | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:03:29 (running for 00:14:07.52)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=7
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 PENDING, 2 RUNNING, 7 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | RUNNING | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:03:34 (running for 00:14:12.56)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=7
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 PENDING, 2 RUNNING, 7 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | RUNNING | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [2, 8000] loss: 0.383
[2m[36m(func pid=1624)[0m [1, 2000] loss: 2.239
== Status ==
Current time: 2022-08-29 16:03:39 (running for 00:14:17.59)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=7
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 PENDING, 2 RUNNING, 7 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | RUNNING | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:03:44 (running for 00:14:22.63)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=7
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.205715936851502
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 PENDING, 2 RUNNING, 7 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00008 | RUNNING | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | | | |
| train_cifar_26514_00009 | PENDING | | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00008:
accuracy: 0.1005
date: 2022-08-29_16-03-46
done: true
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 2.3067330043792724
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 26.95584511756897
time_this_iter_s: 26.95584511756897
time_total_s: 26.95584511756897
timestamp: 1661789026
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00008'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [2, 10000] loss: 0.309
[2m[36m(func pid=1624)[0m Files already downloaded and verified
[2m[36m(func pid=1624)[0m Files already downloaded and verified
== Status ==
Current time: 2022-08-29 16:03:51 (running for 00:14:29.46)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=8
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 RUNNING, 8 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00009 | RUNNING | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:03:56 (running for 00:14:34.49)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=8
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 RUNNING, 8 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00009 | RUNNING | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [2, 12000] loss: 0.249
== Status ==
Current time: 2022-08-29 16:04:01 (running for 00:14:39.51)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=8
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 RUNNING, 8 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00009 | RUNNING | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:04:06 (running for 00:14:44.52)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=8
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 RUNNING, 8 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00009 | RUNNING | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1624)[0m [1, 2000] loss: 2.301
[2m[36m(func pid=1658)[0m [2, 14000] loss: 0.211
== Status ==
Current time: 2022-08-29 16:04:11 (running for 00:14:49.55)
Memory usage on this node: 2.7/14.7 GiB
Using AsyncHyperBand: num_stopped=8
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.273141198730469
Resources requested: 4.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (2 RUNNING, 8 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00009 | RUNNING | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | | | |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00009:
accuracy: 0.1295
date: 2022-08-29_16-04-15
done: true
experiment_id: b7decaedec6d4d84b2c81ba5d8c3e72b
hostname: 0ba3c9fad333
iterations_since_restore: 1
loss: 2.2946430000305176
node_ip: 172.17.0.2
pid: 1624
should_checkpoint: true
time_since_restore: 28.899584531784058
time_this_iter_s: 28.899584531784058
time_total_s: 28.899584531784058
timestamp: 1661789055
timesteps_since_restore: 0
training_iteration: 1
trial_id: '26514_00009'
warmup_time: 0.003681182861328125
[2m[36m(func pid=1658)[0m [2, 16000] loss: 0.183
== Status ==
Current time: 2022-08-29 16:04:20 (running for 00:14:58.38)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [2, 18000] loss: 0.160
== Status ==
Current time: 2022-08-29 16:04:25 (running for 00:15:03.39)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:04:30 (running for 00:15:08.41)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [2, 20000] loss: 0.142
== Status ==
Current time: 2022-08-29 16:04:35 (running for 00:15:13.43)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:04:40 (running for 00:15:18.44)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.067288910627365 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.62913 | 0.3979 | 1 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.4616
date: 2022-08-29_16-04-43
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 2
loss: 1.4829822020828725
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 235.91004133224487
time_this_iter_s: 111.08100700378418
time_total_s: 235.91004133224487
timestamp: 1661789083
timesteps_since_restore: 0
training_iteration: 2
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:04:48 (running for 00:15:26.83)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 2000] loss: 1.377
== Status ==
Current time: 2022-08-29 16:04:54 (running for 00:15:31.85)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 4000] loss: 0.689
== Status ==
Current time: 2022-08-29 16:04:59 (running for 00:15:36.87)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:05:04 (running for 00:15:41.88)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 6000] loss: 0.458
== Status ==
Current time: 2022-08-29 16:05:09 (running for 00:15:46.89)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 8000] loss: 0.343
== Status ==
Current time: 2022-08-29 16:05:14 (running for 00:15:51.91)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:05:19 (running for 00:15:56.93)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 10000] loss: 0.269
== Status ==
Current time: 2022-08-29 16:05:24 (running for 00:16:01.94)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 12000] loss: 0.221
== Status ==
Current time: 2022-08-29 16:05:29 (running for 00:16:06.95)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 14000] loss: 0.188
== Status ==
Current time: 2022-08-29 16:05:34 (running for 00:16:11.97)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:05:39 (running for 00:16:16.98)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 16000] loss: 0.166
== Status ==
Current time: 2022-08-29 16:05:44 (running for 00:16:22.00)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 18000] loss: 0.147
== Status ==
Current time: 2022-08-29 16:05:49 (running for 00:16:27.01)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:05:54 (running for 00:16:32.02)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [3, 20000] loss: 0.130
== Status ==
Current time: 2022-08-29 16:05:59 (running for 00:16:37.03)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:06:04 (running for 00:16:42.05)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.48298 | 0.4616 | 2 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.5051
date: 2022-08-29_16-06-06
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 3
loss: 1.3714316166367382
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 318.6962983608246
time_this_iter_s: 82.78625702857971
time_total_s: 318.6962983608246
timestamp: 1661789166
timesteps_since_restore: 0
training_iteration: 3
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:06:11 (running for 00:16:49.62)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 2000] loss: 1.257
== Status ==
Current time: 2022-08-29 16:06:16 (running for 00:16:54.64)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 4000] loss: 0.643
== Status ==
Current time: 2022-08-29 16:06:21 (running for 00:16:59.65)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:06:26 (running for 00:17:04.66)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 6000] loss: 0.425
== Status ==
Current time: 2022-08-29 16:06:31 (running for 00:17:09.67)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 8000] loss: 0.314
== Status ==
Current time: 2022-08-29 16:06:36 (running for 00:17:14.69)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:06:41 (running for 00:17:19.70)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 10000] loss: 0.248
== Status ==
Current time: 2022-08-29 16:06:46 (running for 00:17:24.72)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 12000] loss: 0.211
== Status ==
Current time: 2022-08-29 16:06:51 (running for 00:17:29.73)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 14000] loss: 0.172
== Status ==
Current time: 2022-08-29 16:06:56 (running for 00:17:34.75)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:07:01 (running for 00:17:39.76)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 16000] loss: 0.155
== Status ==
Current time: 2022-08-29 16:07:06 (running for 00:17:44.78)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 18000] loss: 0.134
== Status ==
Current time: 2022-08-29 16:07:11 (running for 00:17:49.79)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:07:16 (running for 00:17:54.81)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [4, 20000] loss: 0.119
== Status ==
Current time: 2022-08-29 16:07:21 (running for 00:17:59.82)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:07:26 (running for 00:18:04.83)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.9242985949516296 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.37143 | 0.5051 | 3 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.5222
date: 2022-08-29_16-07-29
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 4
loss: 1.3345781434495
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 401.6076309680939
time_this_iter_s: 82.91133260726929
time_total_s: 401.6076309680939
timestamp: 1661789249
timesteps_since_restore: 0
training_iteration: 4
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:07:34 (running for 00:18:12.53)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 2000] loss: 1.151
== Status ==
Current time: 2022-08-29 16:07:39 (running for 00:18:17.55)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 4000] loss: 0.587
== Status ==
Current time: 2022-08-29 16:07:44 (running for 00:18:22.56)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:07:49 (running for 00:18:27.57)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 6000] loss: 0.387
== Status ==
Current time: 2022-08-29 16:07:54 (running for 00:18:32.58)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 8000] loss: 0.286
== Status ==
Current time: 2022-08-29 16:07:59 (running for 00:18:37.60)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:08:04 (running for 00:18:42.61)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 10000] loss: 0.232
== Status ==
Current time: 2022-08-29 16:08:09 (running for 00:18:47.63)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 12000] loss: 0.201
== Status ==
Current time: 2022-08-29 16:08:14 (running for 00:18:52.64)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:08:19 (running for 00:18:57.66)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 14000] loss: 0.167
== Status ==
Current time: 2022-08-29 16:08:24 (running for 00:19:02.67)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 16000] loss: 0.146
== Status ==
Current time: 2022-08-29 16:08:29 (running for 00:19:07.69)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 18000] loss: 0.130
== Status ==
Current time: 2022-08-29 16:08:34 (running for 00:19:12.70)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:08:39 (running for 00:19:17.72)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [5, 20000] loss: 0.114
== Status ==
Current time: 2022-08-29 16:08:44 (running for 00:19:22.73)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:08:49 (running for 00:19:27.75)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.33458 | 0.5222 | 4 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.5762
date: 2022-08-29_16-08-53
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 5
loss: 1.1922143974222243
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 485.02561688423157
time_this_iter_s: 83.4179859161377
time_total_s: 485.02561688423157
timestamp: 1661789333
timesteps_since_restore: 0
training_iteration: 5
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:08:58 (running for 00:19:35.95)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 2000] loss: 1.072
== Status ==
Current time: 2022-08-29 16:09:03 (running for 00:19:40.97)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 4000] loss: 0.548
== Status ==
Current time: 2022-08-29 16:09:08 (running for 00:19:45.98)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:09:13 (running for 00:19:51.00)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 6000] loss: 0.364
== Status ==
Current time: 2022-08-29 16:09:18 (running for 00:19:56.01)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 8000] loss: 0.280
== Status ==
Current time: 2022-08-29 16:09:23 (running for 00:20:01.02)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:09:28 (running for 00:20:06.03)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 10000] loss: 0.225
== Status ==
Current time: 2022-08-29 16:09:33 (running for 00:20:11.05)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 12000] loss: 0.191
== Status ==
Current time: 2022-08-29 16:09:38 (running for 00:20:16.06)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 14000] loss: 0.160
== Status ==
Current time: 2022-08-29 16:09:43 (running for 00:20:21.08)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:09:48 (running for 00:20:26.09)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 16000] loss: 0.141
== Status ==
Current time: 2022-08-29 16:09:53 (running for 00:20:31.11)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 18000] loss: 0.122
== Status ==
Current time: 2022-08-29 16:09:58 (running for 00:20:36.12)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:10:03 (running for 00:20:41.14)
Memory usage on this node: 2.2/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [6, 20000] loss: 0.110
== Status ==
Current time: 2022-08-29 16:10:08 (running for 00:20:46.15)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:10:13 (running for 00:20:51.17)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.19221 | 0.5762 | 5 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.5883
date: 2022-08-29_16-10-15
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 6
loss: 1.1703836522427387
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 567.6703226566315
time_this_iter_s: 82.6447057723999
time_total_s: 567.6703226566315
timestamp: 1661789415
timesteps_since_restore: 0
training_iteration: 6
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:10:20 (running for 00:20:58.59)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 2000] loss: 1.082
== Status ==
Current time: 2022-08-29 16:10:25 (running for 00:21:03.61)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 4000] loss: 0.527
== Status ==
Current time: 2022-08-29 16:10:30 (running for 00:21:08.62)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:10:35 (running for 00:21:13.64)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 6000] loss: 0.357
== Status ==
Current time: 2022-08-29 16:10:40 (running for 00:21:18.65)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 8000] loss: 0.267
== Status ==
Current time: 2022-08-29 16:10:45 (running for 00:21:23.67)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:10:50 (running for 00:21:28.68)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 10000] loss: 0.211
== Status ==
Current time: 2022-08-29 16:10:55 (running for 00:21:33.70)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 12000] loss: 0.176
== Status ==
Current time: 2022-08-29 16:11:00 (running for 00:21:38.71)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:11:05 (running for 00:21:43.72)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 14000] loss: 0.155
== Status ==
Current time: 2022-08-29 16:11:10 (running for 00:21:48.73)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 16000] loss: 0.132
== Status ==
Current time: 2022-08-29 16:11:15 (running for 00:21:53.75)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 18000] loss: 0.120
== Status ==
Current time: 2022-08-29 16:11:20 (running for 00:21:58.76)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:11:25 (running for 00:22:03.78)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [7, 20000] loss: 0.107
== Status ==
Current time: 2022-08-29 16:11:30 (running for 00:22:08.79)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:11:35 (running for 00:22:13.81)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.17038 | 0.5883 | 6 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.5962
date: 2022-08-29_16-11-39
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 7
loss: 1.1514908161045052
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 650.9815549850464
time_this_iter_s: 83.31123232841492
time_total_s: 650.9815549850464
timestamp: 1661789499
timesteps_since_restore: 0
training_iteration: 7
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:11:44 (running for 00:22:21.90)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 2000] loss: 1.012
== Status ==
Current time: 2022-08-29 16:11:49 (running for 00:22:26.92)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 4000] loss: 0.496
== Status ==
Current time: 2022-08-29 16:11:54 (running for 00:22:31.93)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:11:59 (running for 00:22:36.94)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 6000] loss: 0.344
== Status ==
Current time: 2022-08-29 16:12:04 (running for 00:22:41.95)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 8000] loss: 0.267
== Status ==
Current time: 2022-08-29 16:12:09 (running for 00:22:46.97)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:12:14 (running for 00:22:51.98)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 10000] loss: 0.204
== Status ==
Current time: 2022-08-29 16:12:19 (running for 00:22:57.00)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 12000] loss: 0.170
== Status ==
Current time: 2022-08-29 16:12:24 (running for 00:23:02.01)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:12:29 (running for 00:23:07.03)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 14000] loss: 0.145
== Status ==
Current time: 2022-08-29 16:12:34 (running for 00:23:12.04)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 16000] loss: 0.127
== Status ==
Current time: 2022-08-29 16:12:39 (running for 00:23:17.05)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:12:44 (running for 00:23:22.06)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 18000] loss: 0.113
== Status ==
Current time: 2022-08-29 16:12:49 (running for 00:23:27.08)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [8, 20000] loss: 0.104
== Status ==
Current time: 2022-08-29 16:12:54 (running for 00:23:32.09)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:12:59 (running for 00:23:37.11)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.3652612701840698 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.15149 | 0.5962 | 7 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.5841
date: 2022-08-29_16-13-03
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 8
loss: 1.183217224018043
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 735.1395463943481
time_this_iter_s: 84.15799140930176
time_total_s: 735.1395463943481
timestamp: 1661789583
timesteps_since_restore: 0
training_iteration: 8
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:13:08 (running for 00:23:46.06)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 2000] loss: 0.969
== Status ==
Current time: 2022-08-29 16:13:13 (running for 00:23:51.08)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 4000] loss: 0.492
== Status ==
Current time: 2022-08-29 16:13:18 (running for 00:23:56.09)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:13:23 (running for 00:24:01.11)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 6000] loss: 0.325
== Status ==
Current time: 2022-08-29 16:13:28 (running for 00:24:06.12)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 8000] loss: 0.243
== Status ==
Current time: 2022-08-29 16:13:33 (running for 00:24:11.14)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:13:38 (running for 00:24:16.15)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 10000] loss: 0.195
== Status ==
Current time: 2022-08-29 16:13:43 (running for 00:24:21.16)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 12000] loss: 0.166
== Status ==
Current time: 2022-08-29 16:13:48 (running for 00:24:26.18)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:13:53 (running for 00:24:31.19)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 14000] loss: 0.143
== Status ==
Current time: 2022-08-29 16:13:58 (running for 00:24:36.20)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 16000] loss: 0.124
== Status ==
Current time: 2022-08-29 16:14:03 (running for 00:24:41.22)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:14:08 (running for 00:24:46.23)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 18000] loss: 0.115
== Status ==
Current time: 2022-08-29 16:14:13 (running for 00:24:51.24)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [9, 20000] loss: 0.102
== Status ==
Current time: 2022-08-29 16:14:18 (running for 00:24:56.26)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:14:23 (running for 00:25:01.28)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.18322 | 0.5841 | 8 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.6049
date: 2022-08-29_16-14-27
done: false
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 9
loss: 1.1368257117977831
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 819.2267661094666
time_this_iter_s: 84.08721971511841
time_total_s: 819.2267661094666
timestamp: 1661789667
timesteps_since_restore: 0
training_iteration: 9
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:14:32 (running for 00:25:10.15)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 2000] loss: 0.944
== Status ==
Current time: 2022-08-29 16:14:37 (running for 00:25:15.17)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 4000] loss: 0.466
== Status ==
Current time: 2022-08-29 16:14:42 (running for 00:25:20.18)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:14:47 (running for 00:25:25.20)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 6000] loss: 0.316
== Status ==
Current time: 2022-08-29 16:14:52 (running for 00:25:30.21)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 8000] loss: 0.235
== Status ==
Current time: 2022-08-29 16:14:57 (running for 00:25:35.22)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:15:02 (running for 00:25:40.24)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 10000] loss: 0.189
== Status ==
Current time: 2022-08-29 16:15:07 (running for 00:25:45.25)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 12000] loss: 0.165
== Status ==
Current time: 2022-08-29 16:15:12 (running for 00:25:50.27)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:15:17 (running for 00:25:55.28)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 14000] loss: 0.136
== Status ==
Current time: 2022-08-29 16:15:22 (running for 00:26:00.29)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 16000] loss: 0.122
== Status ==
Current time: 2022-08-29 16:15:27 (running for 00:26:05.31)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 18000] loss: 0.111
== Status ==
Current time: 2022-08-29 16:15:32 (running for 00:26:10.32)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:15:37 (running for 00:26:15.34)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
[2m[36m(func pid=1658)[0m [10, 20000] loss: 0.101
== Status ==
Current time: 2022-08-29 16:15:42 (running for 00:26:20.35)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
== Status ==
Current time: 2022-08-29 16:15:47 (running for 00:26:25.37)
Memory usage on this node: 2.1/14.7 GiB
Using AsyncHyperBand: num_stopped=9
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 2.0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (1 RUNNING, 9 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00007 | RUNNING | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.13683 | 0.6049 | 9 |
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Result for train_cifar_26514_00007:
accuracy: 0.5733
date: 2022-08-29_16-15-50
done: true
experiment_id: 9f6c27bb35454322ad898395be650a7a
hostname: 0ba3c9fad333
iterations_since_restore: 10
loss: 1.230402131993731
node_ip: 172.17.0.2
pid: 1658
should_checkpoint: true
time_since_restore: 902.9133651256561
time_this_iter_s: 83.68659901618958
time_total_s: 902.9133651256561
timestamp: 1661789750
timesteps_since_restore: 0
training_iteration: 10
trial_id: '26514_00007'
warmup_time: 0.0053937435150146484
== Status ==
Current time: 2022-08-29 16:15:50 (running for 00:26:28.84)
Memory usage on this node: 1.8/14.7 GiB
Using AsyncHyperBand: num_stopped=10
Bracket: Iter 8.000: -1.2221424466505646 | Iter 4.000: -1.6294383692005647 | Iter 2.000: -2.0194857375144957 | Iter 1.000: -2.283892099380493
Resources requested: 0/4 CPUs, 0/1 GPUs, 0.0/8.17 GiB heap, 0.0/4.08 GiB objects (0.0/1.0 accelerator_type:P4)
Result logdir: /var/lib/jenkins/ray_results/train_cifar_2022-08-29_15-49-21
Number of trials: 10/10 (10 TERMINATED)
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
| Trial name | status | loc | batch_size | l1 | l2 | lr | loss | accuracy | training_iteration |
|-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------|
| train_cifar_26514_00000 | TERMINATED | 172.17.0.2:1624 | 4 | 64 | 4 | 0.000560935 | 1.25224 | 0.5733 | 10 |
| train_cifar_26514_00001 | TERMINATED | 172.17.0.2:1658 | 8 | 128 | 8 | 0.000151196 | 1.43149 | 0.4799 | 10 |
| train_cifar_26514_00002 | TERMINATED | 172.17.0.2:1658 | 4 | 32 | 16 | 0.0339499 | 2.31799 | 0.1004 | 1 |
| train_cifar_26514_00003 | TERMINATED | 172.17.0.2:1658 | 16 | 32 | 32 | 0.0350159 | 2.11509 | 0.197 | 2 |
| train_cifar_26514_00004 | TERMINATED | 172.17.0.2:1658 | 16 | 64 | 64 | 0.000321414 | 2.27314 | 0.1808 | 1 |
| train_cifar_26514_00005 | TERMINATED | 172.17.0.2:1658 | 2 | 8 | 16 | 0.0986395 | 2.43243 | 0.1022 | 1 |
| train_cifar_26514_00006 | TERMINATED | 172.17.0.2:1624 | 8 | 128 | 16 | 0.0177239 | 1.95279 | 0.2557 | 4 |
| train_cifar_26514_00007 | TERMINATED | 172.17.0.2:1658 | 2 | 64 | 8 | 0.000265547 | 1.2304 | 0.5733 | 10 |
| train_cifar_26514_00008 | TERMINATED | 172.17.0.2:1624 | 16 | 8 | 16 | 0.0569484 | 2.30673 | 0.1005 | 1 |
| train_cifar_26514_00009 | TERMINATED | 172.17.0.2:1624 | 16 | 256 | 128 | 0.000106904 | 2.29464 | 0.1295 | 1 |
+-------------------------+------------+-----------------+--------------+------+------+-------------+---------+------------+----------------------+
Best trial config: {'l1': 64, 'l2': 8, 'lr': 0.00026554671727783773, 'batch_size': 2}
Best trial final validation loss: 1.230402131993731
Best trial final validation accuracy: 0.5733
Files already downloaded and verified
Files already downloaded and verified
Best trial test set accuracy: 0.5831
If you run the code, an example output could look like this:
Number of trials: 10 (10 TERMINATED)
+-----+------+------+-------------+--------------+---------+------------+--------------------+
| ... | l1 | l2 | lr | batch_size | loss | accuracy | training_iteration |
|-----+------+------+-------------+--------------+---------+------------+--------------------|
| ... | 64 | 4 | 0.00011629 | 2 | 1.87273 | 0.244 | 2 |
| ... | 32 | 64 | 0.000339763 | 8 | 1.23603 | 0.567 | 8 |
| ... | 8 | 16 | 0.00276249 | 16 | 1.1815 | 0.5836 | 10 |
| ... | 4 | 64 | 0.000648721 | 4 | 1.31131 | 0.5224 | 8 |
| ... | 32 | 16 | 0.000340753 | 8 | 1.26454 | 0.5444 | 8 |
| ... | 8 | 4 | 0.000699775 | 8 | 1.99594 | 0.1983 | 2 |
| ... | 256 | 8 | 0.0839654 | 16 | 2.3119 | 0.0993 | 1 |
| ... | 16 | 128 | 0.0758154 | 16 | 2.33575 | 0.1327 | 1 |
| ... | 16 | 8 | 0.0763312 | 16 | 2.31129 | 0.1042 | 4 |
| ... | 128 | 16 | 0.000124903 | 4 | 2.26917 | 0.1945 | 1 |
+-----+------+------+-------------+--------------+---------+------------+--------------------+
Best trial config: {'l1': 8, 'l2': 16, 'lr': 0.00276249, 'batch_size': 16, 'data_dir': '...'}
Best trial final validation loss: 1.181501
Best trial final validation accuracy: 0.5836
Best trial test set accuracy: 0.5806
Most trials have been stopped early in order to avoid wasting resources. The best performing trial achieved a validation accuracy of about 58%, which could be confirmed on the test set.
So that’s it! You can now tune the parameters of your PyTorch models.
Total running time of the script: ( 26 minutes 53.333 seconds)