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使用 Ray Tune 进行超参数调优#
创建日期：2020年8月31日 | 最后更新：2026年1月8日 | 最后验证：2024年11月5日
作者: Ricardo Decal
本教程展示了如何将 Ray Tune 集成到你的 PyTorch 训练工作流中，以执行可扩展且高效的超参数调优。
如何修改 PyTorch 训练循环以适配 Ray Tune
如何在无需更改代码的情况下将超参数搜索扩展到多个节点和 GPU
如何使用
tune.Tuner定义超参数搜索空间并运行搜索如何使用提前停止调度器 (ASHA) 并报告指标/检查点
如何使用检查点功能恢复训练并加载最佳模型
PyTorch v2.9+ 和
torchvisionRay Tune (
ray[tune]) v2.52.1+GPU 是可选的，但建议使用以加快训练速度
Ray 是 PyTorch 基金会的一个项目，是一个用于扩展 AI 和 Python 应用程序的开源统一框架。它通过处理分布式计算的复杂性来帮助运行分布式作业。Ray Tune 是一个建立在 Ray 之上的超参数调优库，使你能够在无需更改代码的情况下，将超参数搜索从单机扩展到大型集群。
本教程改编自 PyTorch CIFAR10 分类器训练教程，旨在演示如何使用 Ray Tune 运行多 GPU 超参数搜索。
设置#
要运行本教程，请安装以下依赖项
pip install "ray[tune]" torchvision
然后从导入开始
from functools import partial
import os
import tempfile
from pathlib import Path
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
# New: imports for Ray Tune
import ray
from ray import tune
from ray.tune import Checkpoint
from ray.tune.schedulers import ASHAScheduler
数据加载#
将数据加载器封装在一个构造函数中。在本教程中，一个全局数据目录被传递给该函数，以便在不同的试验中复用数据集。在集群环境中，你可以使用网络文件系统等共享存储，以防止每个节点单独下载数据。
def load_data(data_dir="./data"):
# Mean and standard deviation of the CIFAR10 training subset.
transform = transforms.Compose(
[transforms.ToTensor(), transforms.Normalize((0.4914, 0.48216, 0.44653), (0.2022, 0.19932, 0.20086))]
)
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
模型架构#
本教程旨在搜索全连接层和学习率的最佳尺寸。为此，Net 类将层尺寸 l1 和 l2 公开为 Ray Tune 可以搜索的可配置参数。
class Net(nn.Module):
def __init__(self, l1=120, l2=84):
super().__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 = torch.flatten(x, 1) # flatten all dimensions except batch
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.fc3(x)
return x
定义搜索空间#
接下来，定义要调优的超参数以及 Ray Tune 如何对它们进行采样。Ray Tune 提供了多种 搜索空间分布 以适应不同的参数类型：loguniform, uniform, choice, randint, grid 等。你还可以使用 条件搜索空间 来表示参数之间复杂的依赖关系，或者从任意函数中采样。
以下是本教程的搜索空间
config = {
"l1": tune.choice([2**i for i in range(9)]),
"l2": tune.choice([2**i for i in range(9)]),
"lr": tune.loguniform(1e-4, 1e-1),
"batch_size": tune.choice([2, 4, 8, 16]),
}
tune.choice() 接受一个值列表并从中进行均匀采样。在此示例中，l1 和 l2 参数值是 1 到 256 之间的 2 的幂，学习率在 0.0001 到 0.1 之间按对数尺度采样。在对数尺度上采样可以实现跨数量级的探索，而不是在绝对尺度上。
训练函数#
Ray Tune 需要一个接受配置字典并运行主要训练循环的训练函数。当 Ray Tune 运行不同的试验时，它会为每个试验更新配置字典。
以下是完整的训练函数，随后是对关键 Ray Tune 集成点的解释
def train_cifar(config, data_dir=None):
net = Net(config["l1"], config["l2"])
device = config["device"]
net = net.to(device)
if torch.cuda.device_count() > 1:
net = nn.DataParallel(net)
criterion = nn.CrossEntropyLoss()
optimizer = optim.SGD(net.parameters(), lr=config["lr"], momentum=0.9)
# Load checkpoint if resuming training
checkpoint = tune.get_checkpoint()
if checkpoint:
with checkpoint.as_directory() as checkpoint_dir:
checkpoint_path = Path(checkpoint_dir) / "checkpoint.pt"
checkpoint_state = torch.load(checkpoint_path)
start_epoch = checkpoint_state["epoch"]
net.load_state_dict(checkpoint_state["net_state_dict"])
optimizer.load_state_dict(checkpoint_state["optimizer_state_dict"])
else:
start_epoch = 0
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(start_epoch, 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
# Save checkpoint and report metrics
checkpoint_data = {
"epoch": epoch,
"net_state_dict": net.state_dict(),
"optimizer_state_dict": optimizer.state_dict(),
}
with tempfile.TemporaryDirectory() as checkpoint_dir:
checkpoint_path = Path(checkpoint_dir) / "checkpoint.pt"
torch.save(checkpoint_data, checkpoint_path)
checkpoint = Checkpoint.from_directory(checkpoint_dir)
tune.report(
{"loss": val_loss / val_steps, "accuracy": correct / total},
checkpoint=checkpoint,
)
print("Finished Training")
关键集成点#
使用来自配置字典的超参数#
Ray Tune 为每个试验更新 config 字典。在此示例中，模型架构和优化器从 config 字典接收超参数。
报告指标和保存检查点#
最重要的集成是与 Ray Tune 通信。Ray Tune 使用验证指标来确定最佳超参数配置，并提前停止表现不佳的试验，从而节省资源。
检查点功能使你能够稍后加载训练好的模型、恢复超参数搜索，并提供容错能力。它也是某些 Ray Tune 调度器（例如 基于群体的训练 (PBT)）所必需的，因为这些调度器在搜索过程中会暂停和恢复试验。
这段来自训练函数的代码在开始时检查是否存在检查点，如果存在则加载模型和优化器状态。
checkpoint = tune.get_checkpoint()
if checkpoint:
with checkpoint.as_directory() as checkpoint_dir:
checkpoint_path = Path(checkpoint_dir) / "checkpoint.pt"
checkpoint_state = torch.load(checkpoint_path)
start_epoch = checkpoint_state["epoch"]
net.load_state_dict(checkpoint_state["net_state_dict"])
optimizer.load_state_dict(checkpoint_state["optimizer_state_dict"])
在每个 epoch 结束时，保存检查点并报告验证指标
checkpoint_data = {
"epoch": epoch,
"net_state_dict": net.state_dict(),
"optimizer_state_dict": optimizer.state_dict(),
}
with tempfile.TemporaryDirectory() as checkpoint_dir:
checkpoint_path = Path(checkpoint_dir) / "checkpoint.pt"
torch.save(checkpoint_data, checkpoint_path)
checkpoint = Checkpoint.from_directory(checkpoint_dir)
tune.report(
{"loss": val_loss / val_steps, "accuracy": correct / total},
checkpoint=checkpoint,
)
Ray Tune 检查点功能支持本地文件系统、云存储和分布式文件系统。有关更多信息，请参阅 Ray Tune 存储文档。
多 GPU 支持#
图像分类模型可以通过使用 GPU 得到极大的加速。训练函数通过将模型包装在 nn.DataParallel 中来支持多 GPU 训练。
if torch.cuda.device_count() > 1:
net = nn.DataParallel(net)
该训练函数无需修改代码即可支持在 CPU、单个 GPU、多个 GPU 或多个节点上进行训练。Ray Tune 会根据可用资源自动将试验分配到各个节点。Ray Tune 还支持 分数 GPU，这样只要模型、优化器和数据批次能放入 GPU 内存中，一个 GPU 就可以在多个试验之间共享。
验证集划分#
原始 CIFAR10 数据集只有训练集和测试集。这对于训练单个模型来说足够了，但对于超参数调优，需要一个验证子集。训练函数通过保留 20% 的训练子集来创建验证子集。测试子集用于在搜索完成后评估最佳模型的泛化误差。
评估函数#
找到最佳超参数后，在留出的测试集上测试模型以评估泛化误差。
def test_accuracy(net, device="cpu", data_dir=None):
_trainset, testset = load_data(data_dir)
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:
image_batch, labels = data
image_batch, labels = image_batch.to(device), labels.to(device)
outputs = net(image_batch)
_, predicted = torch.max(outputs.data, 1)
total += labels.size(0)
correct += (predicted == labels).sum().item()
return correct / total
配置并运行 Ray Tune#
定义好训练和评估函数后，配置 Ray Tune 以运行超参数搜索。
Ray Tune 提供了调度器来通过检测表现不佳的试验并提前停止它们来提高超参数搜索的效率。 Ray Tune 还提供 高级搜索算法，可以根据之前的结果智能地选择下一组超参数，而不是仅依赖随机或网格搜索。示例包括 Optuna 和 BayesOpt。
通过将 Ray Tune 会自动管理这些试验的放置并确保试验在隔离环境下运行，因此你无需手动将 GPU 分配给进程。
例如，如果你在一个由 20 台机器组成的集群上运行此实验，每台机器有 8 个 GPU，你可以设置 注意 要在没有 GPU 的情况下运行本教程，请设置 为了在开发期间避免漫长的运行时间，请从少量的试验和 epoch 开始。
Ray Tune API 是模块化且可组合的。将配置传递给 训练完成后，检索表现最好的试验，加载其检查点，并在测试集上进行评估。
提前停止的调度器#
ASHAScheduler 使用异步连续减半算法 (ASHA) 来积极终止表现较差的试验。
scheduler = ASHAScheduler(
max_t=max_num_epochs,
grace_period=1,
reduction_factor=2,
)
资源分配#
resources 字典传递给 tune.with_resources，告诉 Ray Tune 为每个试验分配什么资源。
tune.with_resources(
partial(train_cifar, data_dir=data_dir),
resources={"cpu": cpus_per_trial, "gpu": gpus_per_trial}
)
gpus_per_trial = 0.5，以便每个 GPU 安排两个并发试验。此配置可在整个集群中并行运行 320 个试验。
gpus_per_trial=0，但预期运行时间会显著延长。
创建 Tuner#
tune.Tuner 类以创建调整器对象，然后运行 tuner.fit() 开始训练。
tuner = tune.Tuner(
tune.with_resources(
partial(train_cifar, data_dir=data_dir),
resources={"cpu": cpus_per_trial, "gpu": gpus_per_trial}
),
tune_config=tune.TuneConfig(
metric="loss",
mode="min",
scheduler=scheduler,
num_samples=num_trials,
),
param_space=config,
)
results = tuner.fit()
总结#
def main(num_trials=10, max_num_epochs=10, gpus_per_trial=0, cpus_per_trial=2):
print("Starting hyperparameter tuning.")
ray.init(include_dashboard=False)
data_dir = os.path.abspath("./data")
load_data(data_dir) # Pre-download the dataset
device = "cuda" if torch.cuda.is_available() else "cpu"
config = {
"l1": tune.choice([2**i for i in range(9)]),
"l2": tune.choice([2**i for i in range(9)]),
"lr": tune.loguniform(1e-4, 1e-1),
"batch_size": tune.choice([2, 4, 8, 16]),
"device": device,
}
scheduler = ASHAScheduler(
max_t=max_num_epochs,
grace_period=1,
reduction_factor=2,
)
tuner = tune.Tuner(
tune.with_resources(
partial(train_cifar, data_dir=data_dir),
resources={"cpu": cpus_per_trial, "gpu": gpus_per_trial}
),
tune_config=tune.TuneConfig(
metric="loss",
mode="min",
scheduler=scheduler,
num_samples=num_trials,
),
param_space=config,
)
results = tuner.fit()
best_result = results.get_best_result("loss", "min")
print(f"Best trial config: {best_result.config}")
print(f"Best trial final validation loss: {best_result.metrics['loss']}")
print(f"Best trial final validation accuracy: {best_result.metrics['accuracy']}")
best_trained_model = Net(best_result.config["l1"], best_result.config["l2"])
best_trained_model = best_trained_model.to(device)
if gpus_per_trial > 1:
best_trained_model = nn.DataParallel(best_trained_model)
best_checkpoint = best_result.checkpoint
with best_checkpoint.as_directory() as checkpoint_dir:
checkpoint_path = Path(checkpoint_dir) / "checkpoint.pt"
best_checkpoint_data = torch.load(checkpoint_path)
best_trained_model.load_state_dict(best_checkpoint_data["net_state_dict"])
test_acc = test_accuracy(best_trained_model, device, data_dir)
print(f"Best trial test set accuracy: {test_acc}")
if __name__ == "__main__":
# Set the number of trials, epochs, and GPUs per trial here:
main(num_trials=10, max_num_epochs=10, gpus_per_trial=1)
Starting hyperparameter tuning.
2026-07-08 22:19:24,753 WARNING services.py:2213 -- WARNING: The object store is using /tmp/ray instead of /dev/shm because /dev/shm has only 2147471360 bytes available. This will harm performance! You may be able to free up space by deleting files in /dev/shm. If you are inside a Docker container, you can increase /dev/shm size by passing '--shm-size=10.24gb' to 'docker run' (or add it to the run_options list in a Ray cluster config). Make sure to set this to more than 30% of available RAM.
2026-07-08 22:19:25,919 INFO worker.py:2012 -- Started a local Ray instance.
/usr/local/lib/python3.10/dist-packages/ray/_private/worker.py:2051: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0
warnings.warn(
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1%|▏ | 2.36M/170M [00:25<25:46, 109kB/s]
1%|▏ | 2.39M/170M [00:25<26:32, 106kB/s]
1%|▏ | 2.42M/170M [00:26<28:27, 98.4kB/s]
1%|▏ | 2.46M/170M [00:26<23:56, 117kB/s]
1%|▏ | 2.49M/170M [00:26<21:03, 133kB/s]
1%|▏ | 2.52M/170M [00:26<24:17, 115kB/s]
1%|▏ | 2.56M/170M [00:27<27:47, 101kB/s]
2%|▏ | 2.59M/170M [00:27<33:01, 84.7kB/s]
2%|▏ | 2.62M/170M [00:28<36:40, 76.3kB/s]
2%|▏ | 2.65M/170M [00:28<30:30, 91.7kB/s]
2%|▏ | 2.69M/170M [00:28<32:22, 86.4kB/s]
2%|▏ | 2.72M/170M [00:29<35:54, 77.9kB/s]
2%|▏ | 2.75M/170M [00:29<29:34, 94.5kB/s]
2%|▏ | 2.79M/170M [00:29<28:11, 99.2kB/s]
2%|▏ | 2.82M/170M [00:30<27:25, 102kB/s]
2%|▏ | 2.85M/170M [00:30<22:43, 123kB/s]
2%|▏ | 2.88M/170M [00:30<24:34, 114kB/s]
2%|▏ | 2.92M/170M [00:31<29:30, 94.7kB/s]
2%|▏ | 2.95M/170M [00:31<24:05, 116kB/s]
2%|▏ | 2.98M/170M [00:31<22:56, 122kB/s]
2%|▏ | 3.01M/170M [00:32<32:47, 85.1kB/s]
2%|▏ | 3.05M/170M [00:32<35:02, 79.6kB/s]
2%|▏ | 3.08M/170M [00:33<35:17, 79.1kB/s]
2%|▏ | 3.11M/170M [00:33<36:09, 77.1kB/s]
2%|▏ | 3.15M/170M [00:33<28:20, 98.4kB/s]
2%|▏ | 3.18M/170M [00:34<35:31, 78.5kB/s]
2%|▏ | 3.21M/170M [00:34<27:49, 100kB/s]
2%|▏ | 3.28M/170M [00:34<21:38, 129kB/s]
2%|▏ | 3.31M/170M [00:35<29:21, 94.9kB/s]
2%|▏ | 3.34M/170M [00:35<31:31, 88.4kB/s]
2%|▏ | 3.38M/170M [00:36<29:49, 93.4kB/s]
2%|▏ | 3.41M/170M [00:36<25:25, 110kB/s]
2%|▏ | 3.44M/170M [00:37<36:39, 76.0kB/s]
2%|▏ | 3.47M/170M [00:37<37:02, 75.2kB/s]
2%|▏ | 3.51M/170M [00:37<38:18, 72.6kB/s]
2%|▏ | 3.54M/170M [00:38<39:34, 70.3kB/s]
2%|▏ | 3.57M/170M [00:38<30:54, 90.0kB/s]
2%|▏ | 3.60M/170M [00:38<25:45, 108kB/s]
2%|▏ | 3.64M/170M [00:39<26:09, 106kB/s]
2%|▏ | 3.67M/170M [00:39<23:58, 116kB/s]
2%|▏ | 3.70M/170M [00:39<21:25, 130kB/s]
2%|▏ | 3.74M/170M [00:40<28:16, 98.3kB/s]
2%|▏ | 3.77M/170M [00:40<36:13, 76.7kB/s]
2%|▏ | 3.80M/170M [00:41<34:20, 80.9kB/s]
2%|▏ | 3.83M/170M [00:41<39:11, 70.9kB/s]
2%|▏ | 3.87M/170M [00:42<41:47, 66.5kB/s]
2%|▏ | 3.90M/170M [00:42<32:21, 85.8kB/s]
2%|▏ | 3.93M/170M [00:42<26:04, 106kB/s]
2%|▏ | 3.96M/170M [00:42<27:43, 100kB/s]
2%|▏ | 4.00M/170M [00:43<28:37, 97.0kB/s]
2%|▏ | 4.03M/170M [00:43<29:44, 93.3kB/s]
2%|▏ | 4.06M/170M [00:43<27:38, 100kB/s]
2%|▏ | 4.10M/170M [00:44<25:06, 110kB/s]
2%|▏ | 4.13M/170M [00:44<22:45, 122kB/s]
2%|▏ | 4.16M/170M [00:44<19:03, 145kB/s]
2%|▏ | 4.19M/170M [00:44<22:18, 124kB/s]
2%|▏ | 4.23M/170M [00:45<23:01, 120kB/s]
2%|▏ | 4.26M/170M [00:45<18:56, 146kB/s]
3%|▎ | 4.29M/170M [00:45<17:49, 155kB/s]
3%|▎ | 4.33M/170M [00:45<20:05, 138kB/s]
3%|▎ | 4.36M/170M [00:45<18:01, 154kB/s]
3%|▎ | 4.39M/170M [00:46<21:41, 128kB/s]
3%|▎ | 4.42M/170M [00:46<24:42, 112kB/s]
3%|▎ | 4.46M/170M [00:46<21:27, 129kB/s]
3%|▎ | 4.49M/170M [00:47<25:27, 109kB/s]
3%|▎ | 4.52M/170M [00:47<31:07, 88.9kB/s]
3%|▎ | 4.55M/170M [00:48<33:13, 83.3kB/s]
3%|▎ | 4.59M/170M [00:48<30:20, 91.1kB/s]
3%|▎ | 4.62M/170M [00:48<24:54, 111kB/s]
3%|▎ | 4.65M/170M [00:48<25:51, 107kB/s]
3%|▎ | 4.69M/170M [00:49<26:57, 103kB/s]
3%|▎ | 4.72M/170M [00:49<32:48, 84.2kB/s]
3%|▎ | 4.75M/170M [00:50<30:50, 89.6kB/s]
3%|▎ | 4.78M/170M [00:50<34:21, 80.4kB/s]
3%|▎ | 4.82M/170M [00:50<29:20, 94.1kB/s]
3%|▎ | 4.85M/170M [00:51<28:36, 96.5kB/s]
3%|▎ | 4.88M/170M [00:51<24:22, 113kB/s]
3%|▎ | 4.92M/170M [00:51<23:33, 117kB/s]
3%|▎ | 4.95M/170M [00:51<20:14, 136kB/s]
3%|▎ | 4.98M/170M [00:51<20:12, 137kB/s]
3%|▎ | 5.01M/170M [00:52<17:54, 154kB/s]
3%|▎ | 5.05M/170M [00:52<23:02, 120kB/s]
3%|▎ | 5.08M/170M [00:52<25:16, 109kB/s]
3%|▎ | 5.11M/170M [00:53<24:09, 114kB/s]
3%|▎ | 5.14M/170M [00:53<22:52, 121kB/s]
3%|▎ | 5.18M/170M [00:53<24:11, 114kB/s]
3%|▎ | 5.21M/170M [00:53<23:51, 115kB/s]
3%|▎ | 5.24M/170M [00:54<19:52, 139kB/s]
3%|▎ | 5.28M/170M [00:54<22:25, 123kB/s]
3%|▎ | 5.31M/170M [00:55<32:50, 83.8kB/s]
3%|▎ | 5.34M/170M [00:55<35:58, 76.5kB/s]
3%|▎ | 5.37M/170M [00:55<30:29, 90.3kB/s]
3%|▎ | 5.41M/170M [00:55<25:49, 107kB/s]
3%|▎ | 5.44M/170M [00:56<31:32, 87.2kB/s]
3%|▎ | 5.47M/170M [00:57<37:35, 73.2kB/s]
3%|▎ | 5.51M/170M [00:57<40:15, 68.3kB/s]
3%|▎ | 5.54M/170M [00:58<40:00, 68.7kB/s]
3%|▎ | 5.57M/170M [00:58<39:04, 70.4kB/s]
3%|▎ | 5.60M/170M [00:59<43:09, 63.7kB/s]
3%|▎ | 5.64M/170M [00:59<34:19, 80.0kB/s]
3%|▎ | 5.67M/170M [00:59<27:59, 98.1kB/s]
3%|▎ | 5.70M/170M [00:59<24:28, 112kB/s]
3%|▎ | 5.73M/170M [00:59<22:46, 121kB/s]
3%|▎ | 5.77M/170M [01:00<18:43, 147kB/s]
3%|▎ | 5.80M/170M [01:00<16:59, 162kB/s]
3%|▎ | 5.83M/170M [01:00<25:26, 108kB/s]
3%|▎ | 5.87M/170M [01:01<27:42, 99.0kB/s]
3%|▎ | 5.90M/170M [01:01<23:44, 116kB/s]
3%|▎ | 5.93M/170M [01:01<24:30, 112kB/s]
3%|▎ | 5.96M/170M [01:02<31:33, 86.9kB/s]
4%|▎ | 6.00M/170M [01:02<34:53, 78.6kB/s]
4%|▎ | 6.03M/170M [01:03<34:07, 80.3kB/s]
4%|▎ | 6.06M/170M [01:03<27:41, 99.0kB/s]
4%|▎ | 6.09M/170M [01:03<30:18, 90.4kB/s]
4%|▎ | 6.13M/170M [01:04<29:35, 92.6kB/s]
4%|▎ | 6.16M/170M [01:04<41:04, 66.7kB/s]
4%|▎ | 6.19M/170M [01:05<45:53, 59.7kB/s]
4%|▎ | 6.23M/170M [01:05<42:57, 63.7kB/s]
4%|▎ | 6.26M/170M [01:06<35:04, 78.0kB/s]
4%|▎ | 6.29M/170M [01:06<40:49, 67.0kB/s]
4%|▎ | 6.32M/170M [01:07<43:51, 62.4kB/s]
4%|▎ | 6.36M/170M [01:07<42:45, 64.0kB/s]
4%|▎ | 6.39M/170M [01:08<37:10, 73.6kB/s]
4%|▍ | 6.42M/170M [01:08<39:36, 69.0kB/s]
4%|▍ | 6.46M/170M [01:08<31:09, 87.7kB/s]
4%|▍ | 6.49M/170M [01:09<28:18, 96.6kB/s]
4%|▍ | 6.52M/170M [01:09<31:17, 87.3kB/s]
4%|▍ | 6.55M/170M [01:09<29:10, 93.7kB/s]
4%|▍ | 6.59M/170M [01:10<26:32, 103kB/s]
4%|▍ | 6.62M/170M [01:10<28:43, 95.1kB/s]
4%|▍ | 6.65M/170M [01:10<31:22, 87.1kB/s]
4%|▍ | 6.68M/170M [01:11<27:42, 98.5kB/s]
4%|▍ | 6.72M/170M [01:11<30:52, 88.4kB/s]
4%|▍ | 6.75M/170M [01:11<30:13, 90.3kB/s]
4%|▍ | 6.78M/170M [01:12<33:58, 80.3kB/s]
4%|▍ | 6.82M/170M [01:12<30:01, 90.9kB/s]
4%|▍ | 6.85M/170M [01:13<39:19, 69.4kB/s]
4%|▍ | 6.88M/170M [01:14<42:03, 64.8kB/s]
4%|▍ | 6.91M/170M [01:14<32:46, 83.2kB/s]
4%|▍ | 6.95M/170M [01:14<27:21, 99.6kB/s]
4%|▍ | 6.98M/170M [01:14<29:01, 93.9kB/s]
4%|▍ | 7.01M/170M [01:14<24:51, 110kB/s]
4%|▍ | 7.05M/170M [01:15<27:32, 98.9kB/s]
4%|▍ | 7.08M/170M [01:15<31:54, 85.4kB/s]
4%|▍ | 7.11M/170M [01:15<25:17, 108kB/s]
4%|▍ | 7.14M/170M [01:16<28:16, 96.3kB/s]
4%|▍ | 7.18M/170M [01:16<24:51, 109kB/s]
4%|▍ | 7.21M/170M [01:17<28:21, 96.0kB/s]
4%|▍ | 7.24M/170M [01:17<31:40, 85.9kB/s]
4%|▍ | 7.27M/170M [01:17<33:16, 81.8kB/s]
4%|▍ | 7.31M/170M [01:18<29:22, 92.6kB/s]
4%|▍ | 7.34M/170M [01:18<24:15, 112kB/s]
4%|▍ | 7.37M/170M [01:18<22:47, 119kB/s]
4%|▍ | 7.41M/170M [01:19<26:50, 101kB/s]
4%|▍ | 7.44M/170M [01:19<23:00, 118kB/s]
4%|▍ | 7.47M/170M [01:19<29:53, 90.9kB/s]
4%|▍ | 7.50M/170M [01:20<27:17, 99.5kB/s]
4%|▍ | 7.54M/170M [01:20<24:34, 111kB/s]
4%|▍ | 7.57M/170M [01:20<27:12, 99.8kB/s]
4%|▍ | 7.60M/170M [01:21<31:46, 85.5kB/s]
4%|▍ | 7.63M/170M [01:21<29:29, 92.0kB/s]
4%|▍ | 7.67M/170M [01:21<24:07, 112kB/s]
5%|▍ | 7.70M/170M [01:22<27:38, 98.2kB/s]
5%|▍ | 7.73M/170M [01:22<33:05, 82.0kB/s]
5%|▍ | 7.77M/170M [01:23<39:10, 69.2kB/s]
5%|▍ | 7.80M/170M [01:23<35:25, 76.6kB/s]
5%|▍ | 7.83M/170M [01:23<33:39, 80.5kB/s]
5%|▍ | 7.86M/170M [01:24<33:17, 81.4kB/s]
5%|▍ | 7.90M/170M [01:24<27:41, 97.9kB/s]
5%|▍ | 7.93M/170M [01:24<30:52, 87.8kB/s]
5%|▍ | 7.96M/170M [01:25<31:45, 85.3kB/s]
5%|▍ | 8.00M/170M [01:25<26:00, 104kB/s]
5%|▍ | 8.03M/170M [01:25<23:22, 116kB/s]
5%|▍ | 8.06M/170M [01:25<19:58, 135kB/s]
5%|▍ | 8.09M/170M [01:26<26:44, 101kB/s]
5%|▍ | 8.13M/170M [01:26<22:00, 123kB/s]
5%|▍ | 8.16M/170M [01:27<27:37, 98.0kB/s]
5%|▍ | 8.19M/170M [01:27<27:01, 100kB/s]
5%|▍ | 8.22M/170M [01:27<27:34, 98.1kB/s]
5%|▍ | 8.26M/170M [01:28<32:46, 82.5kB/s]
5%|▍ | 8.29M/170M [01:28<30:18, 89.2kB/s]
5%|▍ | 8.32M/170M [01:28<23:59, 113kB/s]
5%|▍ | 8.36M/170M [01:28<23:55, 113kB/s]
5%|▍ | 8.39M/170M [01:29<28:01, 96.4kB/s]
5%|▍ | 8.42M/170M [01:29<27:02, 99.9kB/s]
5%|▍ | 8.45M/170M [01:29<22:52, 118kB/s]
5%|▍ | 8.49M/170M [01:30<28:34, 94.5kB/s]
5%|▍ | 8.52M/170M [01:30<36:27, 74.0kB/s]
5%|▌ | 8.55M/170M [01:31<42:00, 64.3kB/s]
5%|▌ | 8.59M/170M [01:32<41:14, 65.4kB/s]
5%|▌ | 8.62M/170M [01:32<40:50, 66.1kB/s]
5%|▌ | 8.65M/170M [01:33<45:40, 59.1kB/s]
5%|▌ | 8.68M/170M [01:33<36:16, 74.4kB/s]
5%|▌ | 8.72M/170M [01:34<38:47, 69.5kB/s]
5%|▌ | 8.75M/170M [01:34<38:56, 69.2kB/s]
5%|▌ | 8.78M/170M [01:34<37:41, 71.5kB/s]
5%|▌ | 8.81M/170M [01:35<40:05, 67.2kB/s]
5%|▌ | 8.85M/170M [01:35<36:50, 73.1kB/s]
5%|▌ | 8.88M/170M [01:36<44:10, 61.0kB/s]
5%|▌ | 8.91M/170M [01:36<40:54, 65.8kB/s]
5%|▌ | 8.95M/170M [01:37<37:00, 72.8kB/s]
5%|▌ | 8.98M/170M [01:37<39:49, 67.6kB/s]
5%|▌ | 9.01M/170M [01:38<43:27, 61.9kB/s]
5%|▌ | 9.04M/170M [01:38<34:28, 78.1kB/s]
5%|▌ | 9.08M/170M [01:38<26:35, 101kB/s]
5%|▌ | 9.11M/170M [01:39<32:16, 83.4kB/s]
5%|▌ | 9.14M/170M [01:39<29:23, 91.5kB/s]
5%|▌ | 9.18M/170M [01:39<28:22, 94.7kB/s]
5%|▌ | 9.21M/170M [01:40<26:44, 101kB/s]
5%|▌ | 9.24M/170M [01:40<26:40, 101kB/s]
5%|▌ | 9.27M/170M [01:40<21:43, 124kB/s]
5%|▌ | 9.31M/170M [01:40<19:26, 138kB/s]
5%|▌ | 9.34M/170M [01:41<23:41, 113kB/s]
5%|▌ | 9.37M/170M [01:41<28:27, 94.4kB/s]
6%|▌ | 9.40M/170M [01:41<22:50, 118kB/s]
6%|▌ | 9.44M/170M [01:42<23:11, 116kB/s]
6%|▌ | 9.47M/170M [01:42<19:02, 141kB/s]
6%|▌ | 9.50M/170M [01:42<16:04, 167kB/s]
6%|▌ | 9.54M/170M [01:42<16:20, 164kB/s]
6%|▌ | 9.57M/170M [01:42<21:18, 126kB/s]
6%|▌ | 9.60M/170M [01:43<22:53, 117kB/s]
6%|▌ | 9.63M/170M [01:43<19:39, 136kB/s]
6%|▌ | 9.67M/170M [01:43<17:29, 153kB/s]
6%|▌ | 9.70M/170M [01:43<19:39, 136kB/s]
6%|▌ | 9.73M/170M [01:44<28:02, 95.6kB/s]
6%|▌ | 9.76M/170M [01:45<34:30, 77.6kB/s]
6%|▌ | 9.80M/170M [01:45<35:29, 75.5kB/s]
6%|▌ | 9.83M/170M [01:46<37:04, 72.2kB/s]
6%|▌ | 9.86M/170M [01:46<34:23, 77.8kB/s]
6%|▌ | 9.90M/170M [01:47<44:59, 59.5kB/s]
6%|▌ | 9.93M/170M [01:47<40:33, 66.0kB/s]
6%|▌ | 9.96M/170M [01:48<39:36, 67.5kB/s]
6%|▌ | 9.99M/170M [01:48<34:39, 77.2kB/s]
6%|▌ | 10.0M/170M [01:48<34:42, 77.1kB/s]
6%|▌ | 10.1M/170M [01:49<39:00, 68.5kB/s]
6%|▌ | 10.1M/170M [01:50<43:38, 61.3kB/s]
6%|▌ | 10.1M/170M [01:50<40:39, 65.7kB/s]
6%|▌ | 10.2M/170M [01:50<33:32, 79.7kB/s]
6%|▌ | 10.2M/170M [01:50<29:29, 90.6kB/s]
6%|▌ | 10.2M/170M [01:51<34:13, 78.0kB/s]
6%|▌ | 10.3M/170M [01:52<43:12, 61.8kB/s]
6%|▌ | 10.3M/170M [01:52<33:30, 79.7kB/s]
6%|▌ | 10.3M/170M [01:52<27:40, 96.4kB/s]
6%|▌ | 10.4M/170M [01:52<26:08, 102kB/s]
6%|▌ | 10.4M/170M [01:53<32:45, 81.5kB/s]
6%|▌ | 10.4M/170M [01:54<37:29, 71.2kB/s]
6%|▌ | 10.5M/170M [01:54<41:50, 63.7kB/s]
6%|▌ | 10.5M/170M [01:55<39:56, 66.8kB/s]
6%|▌ | 10.5M/170M [01:55<40:45, 65.4kB/s]
6%|▌ | 10.6M/170M [01:56<39:11, 68.0kB/s]
6%|▌ | 10.6M/170M [01:56<44:16, 60.2kB/s]
6%|▌ | 10.6M/170M [01:57<41:35, 64.1kB/s]
6%|▌ | 10.6M/170M [01:57<33:02, 80.6kB/s]
6%|▋ | 10.7M/170M [01:57<33:02, 80.6kB/s]
6%|▋ | 10.7M/170M [01:58<35:38, 74.7kB/s]
6%|▋ | 10.7M/170M [01:58<36:03, 73.8kB/s]
6%|▋ | 10.8M/170M [01:59<33:04, 80.5kB/s]
6%|▋ | 10.8M/170M [01:59<32:48, 81.1kB/s]
6%|▋ | 10.8M/170M [02:00<37:01, 71.9kB/s]
6%|▋ | 10.9M/170M [02:00<35:53, 74.1kB/s]
6%|▋ | 10.9M/170M [02:00<36:35, 72.7kB/s]
6%|▋ | 10.9M/170M [02:01<37:28, 71.0kB/s]
6%|▋ | 11.0M/170M [02:01<29:50, 89.1kB/s]
6%|▋ | 11.0M/170M [02:01<21:16, 125kB/s]
6%|▋ | 11.1M/170M [02:02<21:53, 121kB/s]
7%|▋ | 11.1M/170M [02:02<19:28, 136kB/s]
7%|▋ | 11.1M/170M [02:02<22:33, 118kB/s]
7%|▋ | 11.2M/170M [02:03<24:52, 107kB/s]
7%|▋ | 11.2M/170M [02:03<21:13, 125kB/s]
7%|▋ | 11.2M/170M [02:03<23:49, 111kB/s]
7%|▋ | 11.3M/170M [02:04<28:41, 92.5kB/s]
7%|▋ | 11.3M/170M [02:04<24:44, 107kB/s]
7%|▋ | 11.3M/170M [02:04<22:56, 116kB/s]
7%|▋ | 11.4M/170M [02:04<21:38, 123kB/s]
7%|▋ | 11.4M/170M [02:05<25:24, 104kB/s]
7%|▋ | 11.4M/170M [02:05<20:45, 128kB/s]
7%|▋ | 11.5M/170M [02:05<18:09, 146kB/s]
7%|▋ | 11.5M/170M [02:05<20:42, 128kB/s]
7%|▋ | 11.5M/170M [02:06<29:36, 89.5kB/s]
7%|▋ | 11.6M/170M [02:06<29:41, 89.2kB/s]
7%|▋ | 11.6M/170M [02:06<24:07, 110kB/s]
7%|▋ | 11.6M/170M [02:07<32:10, 82.3kB/s]
7%|▋ | 11.7M/170M [02:08<36:53, 71.8kB/s]
7%|▋ | 11.7M/170M [02:08<44:47, 59.1kB/s]
7%|▋ | 11.7M/170M [02:09<35:01, 75.6kB/s]
7%|▋ | 11.8M/170M [02:09<33:04, 80.0kB/s]
7%|▋ | 11.8M/170M [02:09<31:56, 82.8kB/s]
7%|▋ | 11.8M/170M [02:10<34:12, 77.3kB/s]
7%|▋ | 11.9M/170M [02:11<43:38, 60.6kB/s]
7%|▋ | 11.9M/170M [02:11<38:15, 69.1kB/s]
7%|▋ | 11.9M/170M [02:12<42:56, 61.6kB/s]
7%|▋ | 12.0M/170M [02:12<43:38, 60.6kB/s]
7%|▋ | 12.0M/170M [02:13<44:47, 59.0kB/s]
7%|▋ | 12.0M/170M [02:13<47:08, 56.0kB/s]
7%|▋ | 12.1M/170M [02:14<49:24, 53.4kB/s]
7%|▋ | 12.1M/170M [02:14<44:39, 59.1kB/s]
7%|▋ | 12.1M/170M [02:15<46:39, 56.6kB/s]
7%|▋ | 12.2M/170M [02:16<47:25, 55.6kB/s]
7%|▋ | 12.2M/170M [02:16<50:14, 52.5kB/s]
7%|▋ | 12.2M/170M [02:17<51:06, 51.6kB/s]
7%|▋ | 12.3M/170M [02:18<50:01, 52.7kB/s]
7%|▋ | 12.3M/170M [02:18<47:48, 55.2kB/s]
7%|▋ | 12.3M/170M [02:19<44:09, 59.7kB/s]
7%|▋ | 12.4M/170M [02:19<34:13, 77.0kB/s]
7%|▋ | 12.4M/170M [02:20<43:59, 59.9kB/s]
7%|▋ | 12.4M/170M [02:20<42:30, 62.0kB/s]
7%|▋ | 12.5M/170M [02:20<33:37, 78.4kB/s]
7%|▋ | 12.5M/170M [02:21<35:03, 75.1kB/s]
7%|▋ | 12.5M/170M [02:21<37:44, 69.8kB/s]
7%|▋ | 12.6M/170M [02:22<36:54, 71.3kB/s]
7%|▋ | 12.6M/170M [02:22<29:45, 88.4kB/s]
7%|▋ | 12.6M/170M [02:22<25:23, 104kB/s]
7%|▋ | 12.6M/170M [02:22<25:10, 105kB/s]
7%|▋ | 12.7M/170M [02:23<28:21, 92.7kB/s]
7%|▋ | 12.7M/170M [02:23<28:36, 91.9kB/s]
7%|▋ | 12.7M/170M [02:23<23:46, 111kB/s]
7%|▋ | 12.8M/170M [02:24<28:21, 92.7kB/s]
8%|▊ | 12.8M/170M [02:24<32:18, 81.4kB/s]
8%|▊ | 12.8M/170M [02:24<25:53, 101kB/s]
8%|▊ | 12.9M/170M [02:25<25:21, 104kB/s]
8%|▊ | 12.9M/170M [02:25<30:42, 85.5kB/s]
8%|▊ | 12.9M/170M [02:26<31:51, 82.4kB/s]
8%|▊ | 13.0M/170M [02:26<40:07, 65.4kB/s]
8%|▊ | 13.0M/170M [02:27<34:22, 76.4kB/s]
8%|▊ | 13.0M/170M [02:27<27:50, 94.3kB/s]
8%|▊ | 13.1M/170M [02:27<25:54, 101kB/s]
8%|▊ | 13.1M/170M [02:28<34:50, 75.3kB/s]
8%|▊ | 13.1M/170M [02:28<39:27, 66.5kB/s]
8%|▊ | 13.2M/170M [02:29<36:53, 71.1kB/s]
8%|▊ | 13.2M/170M [02:29<37:28, 69.9kB/s]
8%|▊ | 13.2M/170M [02:30<35:59, 72.8kB/s]
8%|▊ | 13.3M/170M [02:30<39:12, 66.8kB/s]
8%|▊ | 13.3M/170M [02:31<40:44, 64.3kB/s]
8%|▊ | 13.3M/170M [02:32<43:49, 59.8kB/s]
8%|▊ | 13.4M/170M [02:32<36:57, 70.9kB/s]
8%|▊ | 13.4M/170M [02:32<36:47, 71.2kB/s]
8%|▊ | 13.4M/170M [02:33<31:58, 81.9kB/s]
8%|▊ | 13.5M/170M [02:33<25:08, 104kB/s]
8%|▊ | 13.5M/170M [02:33<23:46, 110kB/s]
8%|▊ | 13.5M/170M [02:33<22:24, 117kB/s]
8%|▊ | 13.6M/170M [02:33<21:57, 119kB/s]
8%|▊ | 13.6M/170M [02:34<29:48, 87.7kB/s]
8%|▊ | 13.6M/170M [02:34<29:30, 88.6kB/s]
8%|▊ | 13.7M/170M [02:35<31:31, 82.9kB/s]
8%|▊ | 13.7M/170M [02:35<26:01, 100kB/s]
8%|▊ | 13.7M/170M [02:35<26:02, 100kB/s]
8%|▊ | 13.8M/170M [02:36<23:14, 112kB/s]
8%|▊ | 13.8M/170M [02:36<31:59, 81.6kB/s]
8%|▊ | 13.8M/170M [02:37<31:24, 83.1kB/s]
8%|▊ | 13.9M/170M [02:37<38:12, 68.3kB/s]
8%|▊ | 13.9M/170M [02:38<38:05, 68.5kB/s]
8%|▊ | 13.9M/170M [02:38<34:42, 75.2kB/s]
8%|▊ | 14.0M/170M [02:39<41:11, 63.3kB/s]
8%|▊ | 14.0M/170M [02:39<36:13, 72.0kB/s]
8%|▊ | 14.0M/170M [02:39<33:39, 77.5kB/s]
8%|▊ | 14.1M/170M [02:40<29:14, 89.2kB/s]
8%|▊ | 14.1M/170M [02:40<26:37, 97.9kB/s]
8%|▊ | 14.1M/170M [02:40<24:16, 107kB/s]
8%|▊ | 14.2M/170M [02:41<30:06, 86.6kB/s]
8%|▊ | 14.2M/170M [02:41<30:21, 85.8kB/s]
8%|▊ | 14.2M/170M [02:41<24:41, 105kB/s]
8%|▊ | 14.3M/170M [02:42<24:37, 106kB/s]
8%|▊ | 14.3M/170M [02:42<34:21, 75.8kB/s]
8%|▊ | 14.3M/170M [02:43<40:40, 64.0kB/s]
8%|▊ | 14.4M/170M [02:43<33:32, 77.6kB/s]
8%|▊ | 14.4M/170M [02:43<28:51, 90.2kB/s]
8%|▊ | 14.4M/170M [02:44<32:04, 81.1kB/s]
8%|▊ | 14.5M/170M [02:44<26:31, 98.1kB/s]
8%|▊ | 14.5M/170M [02:44<27:35, 94.2kB/s]
9%|▊ | 14.5M/170M [02:45<25:24, 102kB/s]
9%|▊ | 14.5M/170M [02:45<20:47, 125kB/s]
9%|▊ | 14.6M/170M [02:45<26:24, 98.4kB/s]
9%|▊ | 14.6M/170M [02:46<37:12, 69.8kB/s]
9%|▊ | 14.6M/170M [02:47<44:32, 58.3kB/s]
9%|▊ | 14.7M/170M [02:48<46:50, 55.4kB/s]
9%|▊ | 14.7M/170M [02:48<37:23, 69.4kB/s]
9%|▊ | 14.7M/170M [02:48<37:23, 69.4kB/s]
9%|▊ | 14.8M/170M [02:49<39:12, 66.2kB/s]
9%|▊ | 14.8M/170M [02:49<31:15, 83.0kB/s]
9%|▊ | 14.8M/170M [02:49<32:40, 79.4kB/s]
9%|▊ | 14.9M/170M [02:50<32:33, 79.6kB/s]
9%|▊ | 14.9M/170M [02:50<35:55, 72.2kB/s]
9%|▉ | 14.9M/170M [02:51<35:45, 72.5kB/s]
9%|▉ | 15.0M/170M [02:51<36:21, 71.3kB/s]
9%|▉ | 15.0M/170M [02:52<40:52, 63.4kB/s]
9%|▉ | 15.0M/170M [02:52<37:00, 70.0kB/s]
9%|▉ | 15.1M/170M [02:53<32:25, 79.9kB/s]
9%|▉ | 15.1M/170M [02:53<37:47, 68.5kB/s]
9%|▉ | 15.1M/170M [02:54<39:08, 66.1kB/s]
9%|▉ | 15.2M/170M [02:54<36:59, 70.0kB/s]
9%|▉ | 15.2M/170M [02:55<42:26, 61.0kB/s]
9%|▉ | 15.2M/170M [02:56<46:59, 55.1kB/s]
9%|▉ | 15.3M/170M [02:56<37:32, 68.9kB/s]
9%|▉ | 15.3M/170M [02:56<32:32, 79.5kB/s]
9%|▉ | 15.3M/170M [02:56<28:39, 90.2kB/s]
9%|▉ | 15.4M/170M [02:57<35:53, 72.0kB/s]
9%|▉ | 15.4M/170M [02:57<33:39, 76.8kB/s]
9%|▉ | 15.4M/170M [02:57<26:54, 96.0kB/s]
9%|▉ | 15.5M/170M [02:58<25:14, 102kB/s]
9%|▉ | 15.5M/170M [02:58<28:07, 91.9kB/s]
9%|▉ | 15.5M/170M [02:58<26:33, 97.2kB/s]
9%|▉ | 15.6M/170M [02:59<26:24, 97.8kB/s]
9%|▉ | 15.6M/170M [02:59<21:47, 118kB/s]
9%|▉ | 15.6M/170M [02:59<20:35, 125kB/s]
9%|▉ | 15.7M/170M [02:59<20:15, 127kB/s]
9%|▉ | 15.7M/170M [03:00<21:47, 118kB/s]
9%|▉ | 15.7M/170M [03:00<24:32, 105kB/s]
9%|▉ | 15.8M/170M [03:01<29:21, 87.9kB/s]
9%|▉ | 15.8M/170M [03:01<34:11, 75.4kB/s]
9%|▉ | 15.8M/170M [03:02<34:07, 75.5kB/s]
9%|▉ | 15.9M/170M [03:02<37:56, 67.9kB/s]
9%|▉ | 15.9M/170M [03:03<36:28, 70.7kB/s]
9%|▉ | 15.9M/170M [03:03<30:06, 85.6kB/s]
9%|▉ | 16.0M/170M [03:03<25:37, 101kB/s]
9%|▉ | 16.0M/170M [03:03<26:52, 95.8kB/s]
9%|▉ | 16.0M/170M [03:04<34:02, 75.6kB/s]
9%|▉ | 16.1M/170M [03:04<32:57, 78.1kB/s]
9%|▉ | 16.1M/170M [03:05<35:28, 72.6kB/s]
9%|▉ | 16.1M/170M [03:05<33:26, 76.9kB/s]
9%|▉ | 16.2M/170M [03:06<37:26, 68.7kB/s]
9%|▉ | 16.2M/170M [03:06<35:40, 72.1kB/s]
10%|▉ | 16.2M/170M [03:07<35:04, 73.3kB/s]
10%|▉ | 16.3M/170M [03:07<37:46, 68.1kB/s]
10%|▉ | 16.3M/170M [03:07<30:16, 84.9kB/s]
10%|▉ | 16.3M/170M [03:08<28:28, 90.2kB/s]
10%|▉ | 16.4M/170M [03:08<24:49, 103kB/s]
10%|▉ | 16.4M/170M [03:08<22:13, 116kB/s]
10%|▉ | 16.4M/170M [03:09<23:17, 110kB/s]
10%|▉ | 16.4M/170M [03:09<23:21, 110kB/s]
10%|▉ | 16.5M/170M [03:09<20:08, 127kB/s]
10%|▉ | 16.5M/170M [03:09<18:03, 142kB/s]
10%|▉ | 16.5M/170M [03:10<23:59, 107kB/s]
10%|▉ | 16.6M/170M [03:10<21:07, 121kB/s]
10%|▉ | 16.6M/170M [03:10<18:59, 135kB/s]
10%|▉ | 16.6M/170M [03:10<24:20, 105kB/s]
10%|▉ | 16.7M/170M [03:11<27:43, 92.5kB/s]
10%|▉ | 16.7M/170M [03:11<28:00, 91.5kB/s]
10%|▉ | 16.7M/170M [03:12<35:39, 71.9kB/s]
10%|▉ | 16.8M/170M [03:13<43:00, 59.6kB/s]
10%|▉ | 16.8M/170M [03:13<39:49, 64.3kB/s]
10%|▉ | 16.8M/170M [03:13<31:53, 80.3kB/s]
10%|▉ | 16.9M/170M [03:14<30:18, 84.5kB/s]
10%|▉ | 16.9M/170M [03:14<24:42, 104kB/s]
10%|▉ | 16.9M/170M [03:14<23:17, 110kB/s]
10%|▉ | 17.0M/170M [03:15<28:48, 88.8kB/s]
10%|▉ | 17.0M/170M [03:15<23:35, 108kB/s]
10%|▉ | 17.0M/170M [03:15<24:58, 102kB/s]
10%|█ | 17.1M/170M [03:15<22:45, 112kB/s]
10%|█ | 17.1M/170M [03:16<19:39, 130kB/s]
10%|█ | 17.1M/170M [03:16<21:43, 118kB/s]
10%|█ | 17.2M/170M [03:16<26:45, 95.5kB/s]
10%|█ | 17.2M/170M [03:17<28:03, 91.0kB/s]
10%|█ | 17.2M/170M [03:17<22:26, 114kB/s]
10%|█ | 17.3M/170M [03:17<24:36, 104kB/s]
10%|█ | 17.3M/170M [03:18<32:06, 79.5kB/s]
10%|█ | 17.3M/170M [03:19<38:07, 67.0kB/s]
10%|█ | 17.4M/170M [03:19<39:28, 64.7kB/s]
10%|█ | 17.4M/170M [03:19<34:46, 73.4kB/s]
10%|█ | 17.4M/170M [03:20<35:17, 72.3kB/s]
10%|█ | 17.5M/170M [03:20<28:53, 88.3kB/s]
10%|█ | 17.5M/170M [03:21<30:23, 83.9kB/s]
10%|█ | 17.5M/170M [03:21<25:09, 101kB/s]
10%|█ | 17.6M/170M [03:21<28:17, 90.1kB/s]
10%|█ | 17.6M/170M [03:22<31:56, 79.8kB/s]
10%|█ | 17.6M/170M [03:22<37:09, 68.6kB/s]
10%|█ | 17.7M/170M [03:23<31:54, 79.8kB/s]
10%|█ | 17.7M/170M [03:23<34:04, 74.7kB/s]
10%|█ | 17.7M/170M [03:24<42:09, 60.4kB/s]
10%|█ | 17.8M/170M [03:24<38:21, 66.4kB/s]
10%|█ | 17.8M/170M [03:24<32:35, 78.1kB/s]
10%|█ | 17.8M/170M [03:25<33:52, 75.1kB/s]
10%|█ | 17.9M/170M [03:26<40:11, 63.3kB/s]
10%|█ | 17.9M/170M [03:26<31:45, 80.1kB/s]
11%|█ | 17.9M/170M [03:26<37:01, 68.7kB/s]
11%|█ | 18.0M/170M [03:27<41:08, 61.8kB/s]
11%|█ | 18.0M/170M [03:27<35:31, 71.5kB/s]
11%|█ | 18.0M/170M [03:28<37:56, 67.0kB/s]
11%|█ | 18.1M/170M [03:29<42:15, 60.1kB/s]
11%|█ | 18.1M/170M [03:29<42:25, 59.9kB/s]
11%|█ | 18.1M/170M [03:30<40:02, 63.4kB/s]
11%|█ | 18.2M/170M [03:30<38:23, 66.1kB/s]
11%|█ | 18.2M/170M [03:30<29:48, 85.2kB/s]
11%|█ | 18.2M/170M [03:30<27:25, 92.5kB/s]
11%|█ | 18.3M/170M [03:31<28:08, 90.2kB/s]
11%|█ | 18.3M/170M [03:31<31:40, 80.1kB/s]
11%|█ | 18.3M/170M [03:32<26:26, 95.9kB/s]
11%|█ | 18.4M/170M [03:32<31:24, 80.8kB/s]
11%|█ | 18.4M/170M [03:33<32:39, 77.6kB/s]
11%|█ | 18.4M/170M [03:33<32:42, 77.5kB/s]
11%|█ | 18.4M/170M [03:33<26:41, 94.9kB/s]
11%|█ | 18.5M/170M [03:34<31:22, 80.7kB/s]
11%|█ | 18.5M/170M [03:34<29:02, 87.2kB/s]
11%|█ | 18.5M/170M [03:34<26:32, 95.4kB/s]
11%|█ | 18.6M/170M [03:35<29:14, 86.6kB/s]
11%|█ | 18.6M/170M [03:35<28:30, 88.8kB/s]
11%|█ | 18.6M/170M [03:36<35:50, 70.6kB/s]
11%|█ | 18.7M/170M [03:36<41:58, 60.3kB/s]
11%|█ | 18.7M/170M [03:37<42:38, 59.3kB/s]
11%|█ | 18.7M/170M [03:37<38:10, 66.3kB/s]
11%|█ | 18.8M/170M [03:38<31:27, 80.4kB/s]
11%|█ | 18.8M/170M [03:38<28:18, 89.3kB/s]
11%|█ | 18.8M/170M [03:39<36:47, 68.7kB/s]
11%|█ | 18.9M/170M [03:39<37:54, 66.7kB/s]
11%|█ | 18.9M/170M [03:39<29:23, 86.0kB/s]
11%|█ | 18.9M/170M [03:40<27:38, 91.4kB/s]
11%|█ | 19.0M/170M [03:40<31:06, 81.2kB/s]
11%|█ | 19.0M/170M [03:40<24:31, 103kB/s]
11%|█ | 19.0M/170M [03:40<22:54, 110kB/s]
11%|█ | 19.1M/170M [03:41<24:47, 102kB/s]
11%|█ | 19.1M/170M [03:41<27:36, 91.4kB/s]
11%|█ | 19.1M/170M [03:42<27:07, 93.0kB/s]
11%|█ | 19.2M/170M [03:42<23:57, 105kB/s]
11%|█▏ | 19.2M/170M [03:42<26:33, 95.0kB/s]
11%|█▏ | 19.2M/170M [03:43<28:20, 88.9kB/s]
11%|█▏ | 19.3M/170M [03:43<22:40, 111kB/s]
11%|█▏ | 19.3M/170M [03:43<18:40, 135kB/s]
11%|█▏ | 19.3M/170M [03:43<22:13, 113kB/s]
11%|█▏ | 19.4M/170M [03:44<24:01, 105kB/s]
11%|█▏ | 19.4M/170M [03:44<23:14, 108kB/s]
11%|█▏ | 19.4M/170M [03:44<27:36, 91.2kB/s]
11%|█▏ | 19.5M/170M [03:45<27:36, 91.2kB/s]
11%|█▏ | 19.5M/170M [03:45<22:34, 111kB/s]
11%|█▏ | 19.5M/170M [03:45<19:13, 131kB/s]
11%|█▏ | 19.6M/170M [03:46<28:19, 88.8kB/s]
11%|█▏ | 19.6M/170M [03:46<27:45, 90.6kB/s]
12%|█▏ | 19.6M/170M [03:47<29:53, 84.1kB/s]
12%|█▏ | 19.7M/170M [03:47<35:16, 71.3kB/s]
12%|█▏ | 19.7M/170M [03:47<31:19, 80.2kB/s]
12%|█▏ | 19.7M/170M [03:48<25:00, 100kB/s]
12%|█▏ | 19.8M/170M [03:48<25:04, 100kB/s]
12%|█▏ | 19.8M/170M [03:49<31:58, 78.5kB/s]
12%|█▏ | 19.8M/170M [03:49<37:44, 66.5kB/s]
12%|█▏ | 19.9M/170M [03:50<32:36, 77.0kB/s]
12%|█▏ | 19.9M/170M [03:50<26:34, 94.5kB/s]
12%|█▏ | 19.9M/170M [03:50<22:02, 114kB/s]
12%|█▏ | 20.0M/170M [03:50<17:59, 139kB/s]
12%|█▏ | 20.0M/170M [03:50<16:24, 153kB/s]
12%|█▏ | 20.0M/170M [03:51<23:33, 106kB/s]
12%|█▏ | 20.1M/170M [03:51<28:29, 88.0kB/s]
12%|█▏ | 20.1M/170M [03:52<32:41, 76.7kB/s]
12%|█▏ | 20.1M/170M [03:52<31:10, 80.4kB/s]
12%|█▏ | 20.2M/170M [03:53<33:48, 74.1kB/s]
12%|█▏ | 20.2M/170M [03:53<36:21, 68.9kB/s]
12%|█▏ | 20.2M/170M [03:54<37:05, 67.5kB/s]
12%|█▏ | 20.3M/170M [03:54<36:25, 68.8kB/s]
12%|█▏ | 20.3M/170M [03:55<42:19, 59.2kB/s]
12%|█▏ | 20.3M/170M [03:55<39:20, 63.6kB/s]
12%|█▏ | 20.3M/170M [03:55<31:17, 80.0kB/s]
12%|█▏ | 20.4M/170M [03:56<35:04, 71.3kB/s]
12%|█▏ | 20.4M/170M [03:56<32:42, 76.5kB/s]
12%|█▏ | 20.4M/170M [03:57<36:43, 68.1kB/s]
12%|█▏ | 20.5M/170M [03:58<45:41, 54.7kB/s]
12%|█▏ | 20.5M/170M [03:58<41:14, 60.6kB/s]
12%|█▏ | 20.5M/170M [03:58<32:40, 76.5kB/s]
12%|█▏ | 20.6M/170M [03:59<28:55, 86.4kB/s]
12%|█▏ | 20.6M/170M [03:59<24:20, 103kB/s]
12%|█▏ | 20.6M/170M [04:00<33:52, 73.7kB/s]
12%|█▏ | 20.7M/170M [04:00<35:24, 70.5kB/s]
12%|█▏ | 20.7M/170M [04:00<32:36, 76.5kB/s]
12%|█▏ | 20.7M/170M [04:01<26:38, 93.7kB/s]
12%|█▏ | 20.8M/170M [04:01<22:49, 109kB/s]
12%|█▏ | 20.8M/170M [04:01<20:08, 124kB/s]
12%|█▏ | 20.8M/170M [04:01<22:50, 109kB/s]
12%|█▏ | 20.9M/170M [04:02<28:05, 88.8kB/s]
12%|█▏ | 20.9M/170M [04:02<26:03, 95.7kB/s]
12%|█▏ | 20.9M/170M [04:02<25:36, 97.4kB/s]
12%|█▏ | 21.0M/170M [04:03<35:42, 69.8kB/s]
12%|█▏ | 21.0M/170M [04:04<32:05, 77.6kB/s]
12%|█▏ | 21.0M/170M [04:04<25:36, 97.3kB/s]
12%|█▏ | 21.1M/170M [04:04<21:09, 118kB/s]
12%|█▏ | 21.1M/170M [04:04<19:58, 125kB/s]
12%|█▏ | 21.1M/170M [04:05<24:12, 103kB/s]
12%|█▏ | 21.2M/170M [04:05<26:11, 95.0kB/s]
12%|█▏ | 21.2M/170M [04:05<21:33, 115kB/s]
12%|█▏ | 21.2M/170M [04:05<18:00, 138kB/s]
12%|█▏ | 21.3M/170M [04:06<30:09, 82.5kB/s]
12%|█▏ | 21.3M/170M [04:06<31:41, 78.5kB/s]
13%|█▎ | 21.3M/170M [04:07<36:30, 68.1kB/s]
13%|█▎ | 21.4M/170M [04:07<28:47, 86.3kB/s]
13%|█▎ | 21.4M/170M [04:08<28:46, 86.4kB/s]
13%|█▎ | 21.4M/170M [04:08<32:22, 76.7kB/s]
13%|█▎ | 21.5M/170M [04:08<25:31, 97.3kB/s]
13%|█▎ | 21.5M/170M [04:09<23:52, 104kB/s]
13%|█▎ | 21.5M/170M [04:09<32:05, 77.4kB/s]
13%|█▎ | 21.6M/170M [04:10<37:24, 66.4kB/s]
13%|█▎ | 21.6M/170M [04:10<32:41, 75.9kB/s]
13%|█▎ | 21.6M/170M [04:10<29:42, 83.5kB/s]
13%|█▎ | 21.7M/170M [04:11<27:59, 88.6kB/s]
13%|█▎ | 21.7M/170M [04:11<28:40, 86.5kB/s]
13%|█▎ | 21.7M/170M [04:11<23:04, 107kB/s]
13%|█▎ | 21.8M/170M [04:11<19:58, 124kB/s]
13%|█▎ | 21.8M/170M [04:12<26:58, 91.9kB/s]
13%|█▎ | 21.8M/170M [04:13<30:15, 81.9kB/s]
13%|█▎ | 21.9M/170M [04:13<27:39, 89.6kB/s]
13%|█▎ | 21.9M/170M [04:13<22:47, 109kB/s]
13%|█▎ | 21.9M/170M [04:13<25:24, 97.5kB/s]
13%|█▎ | 22.0M/170M [04:14<23:27, 106kB/s]
13%|█▎ | 22.0M/170M [04:14<27:49, 89.0kB/s]
13%|█▎ | 22.0M/170M [04:15<35:13, 70.3kB/s]
13%|█▎ | 22.1M/170M [04:15<34:04, 72.6kB/s]
13%|█▎ | 22.1M/170M [04:16<39:05, 63.3kB/s]
13%|█▎ | 22.1M/170M [04:16<36:14, 68.2kB/s]
13%|█▎ | 22.2M/170M [04:17<32:20, 76.5kB/s]
13%|█▎ | 22.2M/170M [04:17<39:54, 61.9kB/s]
13%|█▎ | 22.2M/170M [04:18<40:22, 61.2kB/s]
13%|█▎ | 22.2M/170M [04:18<36:35, 67.5kB/s]
13%|█▎ | 22.3M/170M [04:19<35:28, 69.6kB/s]
13%|█▎ | 22.3M/170M [04:19<33:27, 73.8kB/s]
13%|█▎ | 22.3M/170M [04:20<38:03, 64.9kB/s]
13%|█▎ | 22.4M/170M [04:20<41:23, 59.6kB/s]
13%|█▎ | 22.4M/170M [04:21<44:05, 56.0kB/s]
13%|█▎ | 22.4M/170M [04:22<43:18, 57.0kB/s]
13%|█▎ | 22.5M/170M [04:22<47:27, 52.0kB/s]
13%|█▎ | 22.5M/170M [04:23<36:53, 66.9kB/s]
13%|█▎ | 22.5M/170M [04:23<31:17, 78.8kB/s]
13%|█▎ | 22.6M/170M [04:23<32:43, 75.3kB/s]
13%|█▎ | 22.6M/170M [04:23<26:36, 92.7kB/s]
13%|█▎ | 22.6M/170M [04:24<29:00, 85.0kB/s]
13%|█▎ | 22.7M/170M [04:25<34:01, 72.4kB/s]
13%|█▎ | 22.7M/170M [04:25<36:33, 67.4kB/s]
13%|█▎ | 22.7M/170M [04:25<32:03, 76.8kB/s]
13%|█▎ | 22.8M/170M [04:26<29:47, 82.7kB/s]
13%|█▎ | 22.8M/170M [04:26<28:49, 85.4kB/s]
13%|█▎ | 22.8M/170M [04:26<23:55, 103kB/s]
13%|█▎ | 22.9M/170M [04:27<27:12, 90.4kB/s]
13%|█▎ | 22.9M/170M [04:27<25:24, 96.8kB/s]
13%|█▎ | 22.9M/170M [04:27<20:29, 120kB/s]
13%|█▎ | 23.0M/170M [04:28<25:54, 94.9kB/s]
13%|█▎ | 23.0M/170M [04:28<26:59, 91.0kB/s]
14%|█▎ | 23.0M/170M [04:28<25:21, 96.9kB/s]
14%|█▎ | 23.1M/170M [04:29<24:59, 98.3kB/s]
14%|█▎ | 23.1M/170M [04:29<29:55, 82.1kB/s]
14%|█▎ | 23.1M/170M [04:30<34:26, 71.3kB/s]
14%|█▎ | 23.2M/170M [04:30<32:44, 75.0kB/s]
14%|█▎ | 23.2M/170M [04:31<32:59, 74.4kB/s]
14%|█▎ | 23.2M/170M [04:31<30:47, 79.7kB/s]
14%|█▎ | 23.3M/170M [04:31<29:56, 82.0kB/s]
14%|█▎ | 23.3M/170M [04:32<30:59, 79.2kB/s]
14%|█▎ | 23.3M/170M [04:32<24:25, 100kB/s]
14%|█▎ | 23.4M/170M [04:32<24:38, 99.5kB/s]
14%|█▎ | 23.4M/170M [04:33<24:26, 100kB/s]
14%|█▎ | 23.4M/170M [04:33<23:37, 104kB/s]
14%|█▍ | 23.5M/170M [04:33<30:57, 79.2kB/s]
14%|█▍ | 23.5M/170M [04:34<30:41, 79.8kB/s]
14%|█▍ | 23.5M/170M [04:34<28:25, 86.2kB/s]
14%|█▍ | 23.6M/170M [04:35<31:10, 78.6kB/s]
14%|█▍ | 23.6M/170M [04:35<25:38, 95.5kB/s]
14%|█▍ | 23.6M/170M [04:35<22:31, 109kB/s]
14%|█▍ | 23.7M/170M [04:35<24:57, 98.1kB/s]
14%|█▍ | 23.7M/170M [04:36<31:59, 76.5kB/s]
14%|█▍ | 23.7M/170M [04:36<25:59, 94.1kB/s]
14%|█▍ | 23.8M/170M [04:36<21:30, 114kB/s]
14%|█▍ | 23.8M/170M [04:37<18:22, 133kB/s]
14%|█▍ | 23.8M/170M [04:37<24:15, 101kB/s]
14%|█▍ | 23.9M/170M [04:38<32:03, 76.3kB/s]
14%|█▍ | 23.9M/170M [04:38<32:18, 75.6kB/s]
14%|█▍ | 23.9M/170M [04:39<39:57, 61.1kB/s]
14%|█▍ | 24.0M/170M [04:39<38:38, 63.2kB/s]
14%|█▍ | 24.0M/170M [04:40<40:20, 60.5kB/s]
14%|█▍ | 24.0M/170M [04:40<36:36, 66.7kB/s]
14%|█▍ | 24.1M/170M [04:41<36:26, 67.0kB/s]
14%|█▍ | 24.1M/170M [04:41<35:45, 68.2kB/s]
14%|█▍ | 24.1M/170M [04:42<41:49, 58.3kB/s]
14%|█▍ | 24.2M/170M [04:43<42:11, 57.8kB/s]
14%|█▍ | 24.2M/170M [04:43<42:41, 57.1kB/s]
14%|█▍ | 24.2M/170M [04:43<34:25, 70.8kB/s]
14%|█▍ | 24.2M/170M [04:44<38:18, 63.6kB/s]
14%|█▍ | 24.3M/170M [04:45<43:57, 55.4kB/s]
14%|█▍ | 24.3M/170M [04:45<36:19, 67.1kB/s]
14%|█▍ | 24.3M/170M [04:45<28:16, 86.2kB/s]
14%|█▍ | 24.4M/170M [04:45<23:11, 105kB/s]
14%|█▍ | 24.4M/170M [04:46<19:27, 125kB/s]
14%|█▍ | 24.4M/170M [04:46<24:36, 98.9kB/s]
14%|█▍ | 24.5M/170M [04:47<28:47, 84.5kB/s]
14%|█▍ | 24.5M/170M [04:47<27:17, 89.2kB/s]
14%|█▍ | 24.5M/170M [04:47<25:30, 95.3kB/s]
14%|█▍ | 24.6M/170M [04:48<26:16, 92.6kB/s]
14%|█▍ | 24.6M/170M [04:48<32:51, 74.0kB/s]
14%|█▍ | 24.6M/170M [04:49<33:10, 73.3kB/s]
14%|█▍ | 24.7M/170M [04:49<27:26, 88.5kB/s]
14%|█▍ | 24.7M/170M [04:49<27:43, 87.7kB/s]
15%|█▍ | 24.7M/170M [04:50<31:21, 77.5kB/s]
15%|█▍ | 24.8M/170M [04:50<29:39, 81.9kB/s]
15%|█▍ | 24.8M/170M [04:51<30:17, 80.2kB/s]
15%|█▍ | 24.8M/170M [04:51<31:38, 76.7kB/s]
15%|█▍ | 24.9M/170M [04:51<25:21, 95.7kB/s]
15%|█▍ | 24.9M/170M [04:51<22:07, 110kB/s]
15%|█▍ | 24.9M/170M [04:52<26:22, 92.0kB/s]
15%|█▍ | 25.0M/170M [04:52<23:51, 102kB/s]
15%|█▍ | 25.0M/170M [04:53<32:40, 74.2kB/s]
15%|█▍ | 25.0M/170M [04:53<33:31, 72.3kB/s]
15%|█▍ | 25.1M/170M [04:54<33:16, 72.9kB/s]
15%|█▍ | 25.1M/170M [04:54<30:20, 79.9kB/s]
15%|█▍ | 25.1M/170M [04:54<25:29, 95.1kB/s]
15%|█▍ | 25.2M/170M [04:55<26:54, 90.0kB/s]
15%|█▍ | 25.2M/170M [04:55<29:53, 81.0kB/s]
15%|█▍ | 25.2M/170M [04:56<34:52, 69.4kB/s]
15%|█▍ | 25.3M/170M [04:56<33:14, 72.8kB/s]
15%|█▍ | 25.3M/170M [04:56<29:10, 83.0kB/s]
15%|█▍ | 25.3M/170M [04:57<23:27, 103kB/s]
15%|█▍ | 25.4M/170M [04:57<23:06, 105kB/s]
15%|█▍ | 25.4M/170M [04:57<19:17, 125kB/s]
15%|█▍ | 25.4M/170M [04:57<18:12, 133kB/s]
15%|█▍ | 25.5M/170M [04:57<16:27, 147kB/s]
15%|█▍ | 25.5M/170M [04:58<21:12, 114kB/s]
15%|█▍ | 25.5M/170M [04:58<21:57, 110kB/s]
15%|█▍ | 25.6M/170M [04:58<18:03, 134kB/s]
15%|█▌ | 25.6M/170M [04:59<20:14, 119kB/s]
15%|█▌ | 25.6M/170M [04:59<31:10, 77.4kB/s]
15%|█▌ | 25.7M/170M [05:00<34:26, 70.1kB/s]
15%|█▌ | 25.7M/170M [05:00<34:33, 69.8kB/s]
15%|█▌ | 25.7M/170M [05:01<32:23, 74.5kB/s]
15%|█▌ | 25.8M/170M [05:01<25:47, 93.5kB/s]
15%|█▌ | 25.8M/170M [05:01<20:49, 116kB/s]
15%|█▌ | 25.8M/170M [05:01<22:59, 105kB/s]
15%|█▌ | 25.9M/170M [05:02<26:16, 91.8kB/s]
15%|█▌ | 25.9M/170M [05:03<33:07, 72.8kB/s]
15%|█▌ | 25.9M/170M [05:03<34:12, 70.4kB/s]
15%|█▌ | 26.0M/170M [05:04<35:22, 68.1kB/s]
15%|█▌ | 26.0M/170M [05:04<35:04, 68.7kB/s]
15%|█▌ | 26.0M/170M [05:04<29:10, 82.5kB/s]
15%|█▌ | 26.1M/170M [05:05<30:31, 78.9kB/s]
15%|█▌ | 26.1M/170M [05:05<32:14, 74.6kB/s]
15%|█▌ | 26.1M/170M [05:05<26:18, 91.4kB/s]
15%|█▌ | 26.1M/170M [05:06<22:50, 105kB/s]
15%|█▌ | 26.2M/170M [05:06<22:06, 109kB/s]
15%|█▌ | 26.2M/170M [05:06<18:58, 127kB/s]
15%|█▌ | 26.2M/170M [05:06<20:30, 117kB/s]
15%|█▌ | 26.3M/170M [05:07<32:24, 74.2kB/s]
15%|█▌ | 26.3M/170M [05:08<33:41, 71.3kB/s]
15%|█▌ | 26.3M/170M [05:08<29:03, 82.7kB/s]
15%|█▌ | 26.4M/170M [05:08<24:38, 97.5kB/s]
15%|█▌ | 26.4M/170M [05:09<30:58, 77.5kB/s]
16%|█▌ | 26.4M/170M [05:09<30:27, 78.8kB/s]
16%|█▌ | 26.5M/170M [05:09<27:00, 88.9kB/s]
16%|█▌ | 26.5M/170M [05:10<24:24, 98.3kB/s]
16%|█▌ | 26.5M/170M [05:10<29:33, 81.2kB/s]
16%|█▌ | 26.6M/170M [05:11<31:01, 77.3kB/s]
16%|█▌ | 26.6M/170M [05:11<30:22, 79.0kB/s]
16%|█▌ | 26.6M/170M [05:11<27:41, 86.6kB/s]
16%|█▌ | 26.7M/170M [05:12<22:06, 108kB/s]
16%|█▌ | 26.7M/170M [05:12<26:10, 91.6kB/s]
16%|█▌ | 26.7M/170M [05:12<25:07, 95.4kB/s]
16%|█▌ | 26.8M/170M [05:13<28:07, 85.2kB/s]
16%|█▌ | 26.8M/170M [05:13<27:40, 86.5kB/s]
16%|█▌ | 26.8M/170M [05:14<30:43, 77.9kB/s]
16%|█▌ | 26.9M/170M [05:14<30:42, 78.0kB/s]
16%|█▌ | 26.9M/170M [05:15<36:50, 65.0kB/s]
16%|█▌ | 26.9M/170M [05:15<36:01, 66.4kB/s]
16%|█▌ | 27.0M/170M [05:16<40:42, 58.8kB/s]
16%|█▌ | 27.0M/170M [05:17<39:25, 60.7kB/s]
16%|█▌ | 27.0M/170M [05:17<36:59, 64.6kB/s]
16%|█▌ | 27.1M/170M [05:17<34:57, 68.4kB/s]
16%|█▌ | 27.1M/170M [05:18<33:35, 71.2kB/s]
16%|█▌ | 27.1M/170M [05:18<33:12, 71.9kB/s]
16%|█▌ | 27.2M/170M [05:19<29:38, 80.6kB/s]
16%|█▌ | 27.2M/170M [05:19<26:05, 91.6kB/s]
16%|█▌ | 27.2M/170M [05:19<22:04, 108kB/s]
16%|█▌ | 27.3M/170M [05:19<20:30, 116kB/s]
16%|█▌ | 27.3M/170M [05:19<18:19, 130kB/s]
16%|█▌ | 27.3M/170M [05:20<28:41, 83.1kB/s]
16%|█▌ | 27.4M/170M [05:20<27:58, 85.3kB/s]
16%|█▌ | 27.4M/170M [05:21<32:12, 74.1kB/s]
16%|█▌ | 27.4M/170M [05:21<25:42, 92.7kB/s]
16%|█▌ | 27.5M/170M [05:22<25:40, 92.9kB/s]
16%|█▌ | 27.5M/170M [05:22<28:08, 84.7kB/s]
16%|█▌ | 27.5M/170M [05:23<31:44, 75.1kB/s]
16%|█▌ | 27.6M/170M [05:23<28:01, 85.0kB/s]
16%|█▌ | 27.6M/170M [05:23<22:21, 107kB/s]
16%|█▌ | 27.6M/170M [05:23<18:06, 132kB/s]
16%|█▌ | 27.7M/170M [05:23<21:18, 112kB/s]
16%|█▌ | 27.7M/170M [05:24<23:37, 101kB/s]
16%|█▋ | 27.7M/170M [05:25<31:27, 75.6kB/s]
16%|█▋ | 27.8M/170M [05:25<35:03, 67.9kB/s]
16%|█▋ | 27.8M/170M [05:26<37:18, 63.8kB/s]
16%|█▋ | 27.8M/170M [05:26<29:38, 80.2kB/s]
16%|█▋ | 27.9M/170M [05:26<31:04, 76.5kB/s]
16%|█▋ | 27.9M/170M [05:27<31:22, 75.8kB/s]
16%|█▋ | 27.9M/170M [05:27<33:07, 71.7kB/s]
16%|█▋ | 28.0M/170M [05:28<38:01, 62.5kB/s]
16%|█▋ | 28.0M/170M [05:29<39:10, 60.6kB/s]
16%|█▋ | 28.0M/170M [05:29<40:51, 58.1kB/s]
16%|█▋ | 28.0M/170M [05:30<36:20, 65.3kB/s]
16%|█▋ | 28.1M/170M [05:30<28:38, 82.9kB/s]
17%|█▋ | 28.1M/170M [05:30<19:22, 122kB/s]
17%|█▋ | 28.2M/170M [05:30<16:38, 143kB/s]
17%|█▋ | 28.2M/170M [05:30<18:07, 131kB/s]
17%|█▋ | 28.2M/170M [05:31<19:53, 119kB/s]
17%|█▋ | 28.3M/170M [05:31<23:39, 100kB/s]
17%|█▋ | 28.3M/170M [05:32<29:33, 80.2kB/s]
17%|█▋ | 28.3M/170M [05:32<33:15, 71.3kB/s]
17%|█▋ | 28.4M/170M [05:33<32:16, 73.4kB/s]
17%|█▋ | 28.4M/170M [05:33<28:09, 84.1kB/s]
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╭────────────────────────────────────────────────────────────────────╮
│ Configuration for experiment train_cifar_2026-07-08_22-55-30 │
├────────────────────────────────────────────────────────────────────┤
│ Search algorithm BasicVariantGenerator │
│ Scheduler AsyncHyperBandScheduler │
│ Number of trials 10 │
╰────────────────────────────────────────────────────────────────────╯
View detailed results here: /var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30
To visualize your results with TensorBoard, run: `tensorboard --logdir /tmp/ray/session_2026-07-08_22-19-23_188063_4350/artifacts/2026-07-08_22-55-30/train_cifar_2026-07-08_22-55-30/driver_artifacts`
Trial status: 10 PENDING
Current time: 2026-07-08 22:55:31. Total running time: 0s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
╭───────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size │
├───────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 PENDING 4 8 0.0248025 4 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰───────────────────────────────────────────────────────────────────────────────╯
Trial train_cifar_1e9a4_00000 started with configuration:
╭─────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00000 config │
├─────────────────────────────────────────────────┤
│ batch_size 4 │
│ device cuda │
│ l1 4 │
│ l2 8 │
│ lr 0.0248 │
╰─────────────────────────────────────────────────╯
(func pid=9606) [1, 2000] loss: 2.319
(func pid=9606) [1, 4000] loss: 1.158
(func pid=9606) [1, 6000] loss: 0.773
(func pid=9606) [1, 8000] loss: 0.579
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 22:56:01. Total running time: 30s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
╭───────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size │
├───────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰───────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [1, 10000] loss: 0.463
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000000)
(func pid=9606) [2, 2000] loss: 2.317
(func pid=9606) [2, 4000] loss: 1.158
(func pid=9606) [2, 6000] loss: 0.772
(func pid=9606) [2, 8000] loss: 0.579
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 22:56:31. Total running time: 1min 0s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.31792113237381 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 1 33.0008 2.31792 0.099 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [2, 10000] loss: 0.463
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000001)
(func pid=9606) [3, 2000] loss: 2.317
(func pid=9606) [3, 4000] loss: 1.158
(func pid=9606) [3, 6000] loss: 0.773
(func pid=9606) [3, 8000] loss: 0.579
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 22:57:01. Total running time: 1min 30s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.3266980315685273 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 2 63.8623 2.3267 0.099 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [3, 10000] loss: 0.463
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000002)
(func pid=9606) [4, 2000] loss: 2.317
(func pid=9606) [4, 4000] loss: 1.158
(func pid=9606) [4, 6000] loss: 0.772
(func pid=9606) [4, 8000] loss: 0.579
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 22:57:31. Total running time: 2min 0s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.316288317012787 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 3 94.7317 2.31629 0.0992 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [4, 10000] loss: 0.463
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000003)
(func pid=9606) [5, 2000] loss: 2.318
(func pid=9606) [5, 4000] loss: 1.159
(func pid=9606) [5, 6000] loss: 0.772
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 22:58:01. Total running time: 2min 30s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.320487163734436 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 4 125.723 2.32049 0.1015 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [5, 8000] loss: 0.579
(func pid=9606) [5, 10000] loss: 0.463
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000004)
(func pid=9606) [6, 2000] loss: 2.317
(func pid=9606) [6, 4000] loss: 1.158
(func pid=9606) [6, 6000] loss: 0.772
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 22:58:31. Total running time: 3min 0s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.3149616713523864 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 5 156.622 2.31496 0.0976 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [6, 8000] loss: 0.579
(func pid=9606) [6, 10000] loss: 0.463
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000005)
(func pid=9606) [7, 2000] loss: 2.316
(func pid=9606) [7, 4000] loss: 1.158
(func pid=9606) [7, 6000] loss: 0.773
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 22:59:01. Total running time: 3min 30s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.3148754692077635 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 6 187.477 2.31488 0.0992 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [7, 8000] loss: 0.579
(func pid=9606) [7, 10000] loss: 0.464
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000006)
(func pid=9606) [8, 2000] loss: 2.318
(func pid=9606) [8, 4000] loss: 1.159
(func pid=9606) [8, 6000] loss: 0.772
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 22:59:31. Total running time: 4min 0s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.311588234901428 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 7 218.072 2.31159 0.0978 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [8, 8000] loss: 0.579
(func pid=9606) [8, 10000] loss: 0.464
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000007)
(func pid=9606) [9, 2000] loss: 2.315
(func pid=9606) [9, 4000] loss: 1.158
(func pid=9606) [9, 6000] loss: 0.772
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 23:00:01. Total running time: 4min 30s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.3142466667175294 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 8 248.867 2.31425 0.1018 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [9, 8000] loss: 0.579
(func pid=9606) [9, 10000] loss: 0.463
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000008)
(func pid=9606) [10, 2000] loss: 2.316
(func pid=9606) [10, 4000] loss: 1.158
(func pid=9606) [10, 6000] loss: 0.772
Trial status: 1 RUNNING | 9 PENDING
Current time: 2026-07-08 23:00:31. Total running time: 5min 0s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.3151513427734374 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 RUNNING 4 8 0.0248025 4 9 279.678 2.31515 0.0978 │
│ train_cifar_1e9a4_00001 PENDING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=9606) [10, 8000] loss: 0.579
(func pid=9606) [10, 10000] loss: 0.464
Trial train_cifar_1e9a4_00000 completed after 10 iterations at 2026-07-08 23:00:45. Total running time: 5min 14s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00000 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000009 │
│ time_this_iter_s 30.83129 │
│ time_total_s 310.50952 │
│ training_iteration 10 │
│ accuracy 0.1013 │
│ loss 2.31647 │
╰────────────────────────────────────────────────────────────╯
(func pid=9606) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00000_0_batch_size=4,l1=4,l2=8,lr=0.0248_2026-07-08_22-55-30/checkpoint_000009)
Trial train_cifar_1e9a4_00001 started with configuration:
╭──────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00001 config │
├──────────────────────────────────────────────────┤
│ batch_size 4 │
│ device cuda │
│ l1 4 │
│ l2 2 │
│ lr 0.00986 │
╰──────────────────────────────────────────────────╯
(func pid=10920) [1, 2000] loss: 2.301
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:01:01. Total running time: 5min 31s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00000 with loss=2.3164729287147523 and params={'l1': 4, 'l2': 8, 'lr': 0.024802460434124485, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [1, 4000] loss: 1.154
(func pid=10920) [1, 6000] loss: 0.769
(func pid=10920) [1, 8000] loss: 0.577
(func pid=10920) [1, 10000] loss: 0.462
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000000)
(func pid=10920) [2, 2000] loss: 2.308
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:01:31. Total running time: 6min 1s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.308562190628052 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 1 32.8052 2.30856 0.0968 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [2, 4000] loss: 1.154
(func pid=10920) [2, 6000] loss: 0.769
(func pid=10920) [2, 8000] loss: 0.577
(func pid=10920) [2, 10000] loss: 0.462
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000001)
(func pid=10920) [3, 2000] loss: 2.308
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:02:02. Total running time: 6min 31s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.3095379707336425 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 2 63.5052 2.30954 0.1005 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [3, 4000] loss: 1.154
(func pid=10920) [3, 6000] loss: 0.770
(func pid=10920) [3, 8000] loss: 0.577
(func pid=10920) [3, 10000] loss: 0.461
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000002)
(func pid=10920) [4, 2000] loss: 2.310
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:02:32. Total running time: 7min 1s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.3139436109542846 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 3 94.2784 2.31394 0.103 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [4, 4000] loss: 1.154
(func pid=10920) [4, 6000] loss: 0.769
(func pid=10920) [4, 8000] loss: 0.577
(func pid=10920) [4, 10000] loss: 0.461
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000003)
(func pid=10920) [5, 2000] loss: 2.307
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:03:02. Total running time: 7min 31s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.309336235332489 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 4 124.977 2.30934 0.0998 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [5, 4000] loss: 1.153
(func pid=10920) [5, 6000] loss: 0.770
(func pid=10920) [5, 8000] loss: 0.577
(func pid=10920) [5, 10000] loss: 0.462
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000004)
(func pid=10920) [6, 2000] loss: 2.308
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:03:32. Total running time: 8min 1s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.3067697142601014 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 5 155.469 2.30677 0.0998 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [6, 4000] loss: 1.154
(func pid=10920) [6, 6000] loss: 0.769
(func pid=10920) [6, 8000] loss: 0.577
(func pid=10920) [6, 10000] loss: 0.462
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000005)
(func pid=10920) [7, 2000] loss: 2.308
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:04:02. Total running time: 8min 31s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.3100895782470703 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 6 185.809 2.31009 0.0998 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [7, 4000] loss: 1.154
(func pid=10920) [7, 6000] loss: 0.769
(func pid=10920) [7, 8000] loss: 0.577
(func pid=10920) [7, 10000] loss: 0.462
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000006)
(func pid=10920) [8, 2000] loss: 2.307
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:04:32. Total running time: 9min 1s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.30966858997345 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 7 216.378 2.30967 0.0996 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [8, 4000] loss: 1.154
(func pid=10920) [8, 6000] loss: 0.769
(func pid=10920) [8, 8000] loss: 0.577
(func pid=10920) [8, 10000] loss: 0.462
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000007)
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:05:02. Total running time: 9min 31s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.306273104572296 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 8 246.901 2.30627 0.103 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [9, 2000] loss: 2.308
(func pid=10920) [9, 4000] loss: 1.154
(func pid=10920) [9, 6000] loss: 0.770
(func pid=10920) [9, 8000] loss: 0.577
(func pid=10920) [9, 10000] loss: 0.462
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000008)
Trial status: 1 TERMINATED | 1 RUNNING | 8 PENDING
Current time: 2026-07-08 23:05:32. Total running time: 10min 1s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.305888513660431 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00001 RUNNING 4 2 0.00985911 4 9 277.35 2.30589 0.1005 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=10920) [10, 2000] loss: 2.309
(func pid=10920) [10, 4000] loss: 1.154
(func pid=10920) [10, 6000] loss: 0.770
(func pid=10920) [10, 8000] loss: 0.577
(func pid=10920) [10, 10000] loss: 0.462
Trial train_cifar_1e9a4_00001 completed after 10 iterations at 2026-07-08 23:05:58. Total running time: 10min 27s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00001 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000009 │
│ time_this_iter_s 30.59281 │
│ time_total_s 307.94299 │
│ training_iteration 10 │
│ accuracy 0.0991 │
│ loss 2.30459 │
╰────────────────────────────────────────────────────────────╯
(func pid=10920) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00001_1_batch_size=4,l1=4,l2=2,lr=0.0099_2026-07-08_22-55-30/checkpoint_000009)
Trial status: 2 TERMINATED | 8 PENDING
Current time: 2026-07-08 23:06:02. Total running time: 10min 31s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00001 with loss=2.3045854657173157 and params={'l1': 4, 'l2': 2, 'lr': 0.009859111922353146, 'batch_size': 4, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 PENDING 64 128 0.000441712 16 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Trial train_cifar_1e9a4_00002 started with configuration:
╭──────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00002 config │
├──────────────────────────────────────────────────┤
│ batch_size 16 │
│ device cuda │
│ l1 64 │
│ l2 128 │
│ lr 0.00044 │
╰──────────────────────────────────────────────────╯
(func pid=12232) [1, 2000] loss: 2.195
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000000)
(func pid=12232) [2, 2000] loss: 1.747
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000001)
(func pid=12232) [3, 2000] loss: 1.557
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000002)
Trial status: 2 TERMINATED | 1 RUNNING | 7 PENDING
Current time: 2026-07-08 23:06:32. Total running time: 11min 1s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.478025612449646 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00002 RUNNING 64 128 0.000441712 16 3 28.1989 1.47803 0.4654 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=12232) [4, 2000] loss: 1.447
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000003)
(func pid=12232) [5, 2000] loss: 1.369
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000004)
(func pid=12232) [6, 2000] loss: 1.301
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000005)
Trial status: 2 TERMINATED | 1 RUNNING | 7 PENDING
Current time: 2026-07-08 23:07:02. Total running time: 11min 31s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.315253929901123 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00002 RUNNING 64 128 0.000441712 16 6 54.1593 1.31525 0.5261 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=12232) [7, 2000] loss: 1.247
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000006)
(func pid=12232) [8, 2000] loss: 1.199
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000007)
(func pid=12232) [9, 2000] loss: 1.166
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000008)
(func pid=12232) [10, 2000] loss: 1.125
Trial train_cifar_1e9a4_00002 completed after 10 iterations at 2026-07-08 23:07:32. Total running time: 12min 1s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00002 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000009 │
│ time_this_iter_s 8.65259 │
│ time_total_s 88.82136 │
│ training_iteration 10 │
│ accuracy 0.5788 │
│ loss 1.18835 │
╰────────────────────────────────────────────────────────────╯
(func pid=12232) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00002_2_batch_size=16,l1=64,l2=128,lr=0.0004_2026-07-08_22-55-30/checkpoint_000009)
Trial status: 3 TERMINATED | 7 PENDING
Current time: 2026-07-08 23:07:32. Total running time: 12min 1s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 PENDING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Trial train_cifar_1e9a4_00003 started with configuration:
╭─────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00003 config │
├─────────────────────────────────────────────────┤
│ batch_size 4 │
│ device cuda │
│ l1 1 │
│ l2 8 │
│ lr 0.0069 │
╰─────────────────────────────────────────────────╯
(func pid=13109) [1, 2000] loss: 2.310
(func pid=13109) [1, 4000] loss: 1.153
(func pid=13109) [1, 6000] loss: 0.769
(func pid=13109) [1, 8000] loss: 0.577
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:08:02. Total running time: 12min 31s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [1, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000000)
(func pid=13109) [2, 2000] loss: 2.307
(func pid=13109) [2, 4000] loss: 1.154
(func pid=13109) [2, 6000] loss: 0.769
(func pid=13109) [2, 8000] loss: 0.577
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:08:32. Total running time: 13min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 1 33.1394 2.30457 0.0977 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [2, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000001)
(func pid=13109) [3, 2000] loss: 2.306
(func pid=13109) [3, 4000] loss: 1.153
(func pid=13109) [3, 6000] loss: 0.769
(func pid=13109) [3, 8000] loss: 0.577
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:09:02. Total running time: 13min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 2 64.3524 2.308 0.0972 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [3, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000002)
(func pid=13109) [4, 2000] loss: 2.307
(func pid=13109) [4, 4000] loss: 1.153
(func pid=13109) [4, 6000] loss: 0.769
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:09:32. Total running time: 14min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 3 95.5427 2.30551 0.1031 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [4, 8000] loss: 0.577
(func pid=13109) [4, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000003)
(func pid=13109) [5, 2000] loss: 2.306
(func pid=13109) [5, 4000] loss: 1.153
(func pid=13109) [5, 6000] loss: 0.769
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:10:02. Total running time: 14min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 4 126.174 2.304 0.0997 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [5, 8000] loss: 0.577
(func pid=13109) [5, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000004)
(func pid=13109) [6, 2000] loss: 2.307
(func pid=13109) [6, 4000] loss: 1.153
(func pid=13109) [6, 6000] loss: 0.769
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:10:33. Total running time: 15min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 5 157.341 2.30408 0.1031 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [6, 8000] loss: 0.576
(func pid=13109) [6, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000005)
(func pid=13109) [7, 2000] loss: 2.307
(func pid=13109) [7, 4000] loss: 1.153
(func pid=13109) [7, 6000] loss: 0.769
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:11:03. Total running time: 15min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 6 188.513 2.3057 0.1013 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [7, 8000] loss: 0.577
(func pid=13109) [7, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000006)
(func pid=13109) [8, 2000] loss: 2.307
(func pid=13109) [8, 4000] loss: 1.154
(func pid=13109) [8, 6000] loss: 0.769
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:11:33. Total running time: 16min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 7 219.765 2.30529 0.1031 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [8, 8000] loss: 0.577
(func pid=13109) [8, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000007)
(func pid=13109) [9, 2000] loss: 2.307
(func pid=13109) [9, 4000] loss: 1.153
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:12:03. Total running time: 16min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 8 250.697 2.30504 0.0977 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [9, 6000] loss: 0.769
(func pid=13109) [9, 8000] loss: 0.577
(func pid=13109) [9, 10000] loss: 0.461
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000008)
(func pid=13109) [10, 2000] loss: 2.307
(func pid=13109) [10, 4000] loss: 1.153
Trial status: 3 TERMINATED | 1 RUNNING | 6 PENDING
Current time: 2026-07-08 23:12:33. Total running time: 17min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00003 RUNNING 1 8 0.00689789 4 9 281.702 2.30434 0.101 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00004 PENDING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=13109) [10, 6000] loss: 0.769
(func pid=13109) [10, 8000] loss: 0.577
(func pid=13109) [10, 10000] loss: 0.461
Trial train_cifar_1e9a4_00003 completed after 10 iterations at 2026-07-08 23:12:49. Total running time: 17min 18s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00003 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000009 │
│ time_this_iter_s 31.13824 │
│ time_total_s 312.84028 │
│ training_iteration 10 │
│ accuracy 0.0972 │
│ loss 2.30618 │
╰────────────────────────────────────────────────────────────╯
(func pid=13109) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00003_3_batch_size=4,l1=1,l2=8,lr=0.0069_2026-07-08_22-55-30/checkpoint_000009)
Trial train_cifar_1e9a4_00004 started with configuration:
╭──────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00004 config │
├──────────────────────────────────────────────────┤
│ batch_size 4 │
│ device cuda │
│ l1 2 │
│ l2 2 │
│ lr 0.03061 │
╰──────────────────────────────────────────────────╯
(func pid=14423) [1, 2000] loss: 2.318
Trial status: 4 TERMINATED | 1 RUNNING | 5 PENDING
Current time: 2026-07-08 23:13:03. Total running time: 17min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00004 RUNNING 2 2 0.0306116 4 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00005 PENDING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=14423) [1, 4000] loss: 1.160
(func pid=14423) [1, 6000] loss: 0.773
(func pid=14423) [1, 8000] loss: 0.580
(func pid=14423) [1, 10000] loss: 0.464
Trial train_cifar_1e9a4_00004 completed after 1 iterations at 2026-07-08 23:13:26. Total running time: 17min 55s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00004 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000000 │
│ time_this_iter_s 32.48421 │
│ time_total_s 32.48421 │
│ training_iteration 1 │
│ accuracy 0.1044 │
│ loss 2.32111 │
╰────────────────────────────────────────────────────────────╯
(func pid=14423) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00004_4_batch_size=4,l1=2,l2=2,lr=0.0306_2026-07-08_22-55-30/checkpoint_000000)
Trial train_cifar_1e9a4_00005 started with configuration:
╭──────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00005 config │
├──────────────────────────────────────────────────┤
│ batch_size 4 │
│ device cuda │
│ l1 4 │
│ l2 8 │
│ lr 0.09207 │
╰──────────────────────────────────────────────────╯
Trial status: 5 TERMINATED | 1 RUNNING | 4 PENDING
Current time: 2026-07-08 23:13:33. Total running time: 18min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00005 RUNNING 4 8 0.0920653 4 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=14613) [1, 2000] loss: 2.355
(func pid=14613) [1, 4000] loss: 1.177
(func pid=14613) [1, 6000] loss: 0.785
(func pid=14613) [1, 8000] loss: 0.588
(func pid=14613) [1, 10000] loss: 0.471
Trial train_cifar_1e9a4_00005 completed after 1 iterations at 2026-07-08 23:14:03. Total running time: 18min 32s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00005 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000000 │
│ time_this_iter_s 32.69608 │
│ time_total_s 32.69608 │
│ training_iteration 1 │
│ accuracy 0.1027 │
│ loss 2.36465 │
╰────────────────────────────────────────────────────────────╯
(func pid=14613) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00005_5_batch_size=4,l1=4,l2=8,lr=0.0921_2026-07-08_22-55-30/checkpoint_000000)
Trial status: 6 TERMINATED | 4 PENDING
Current time: 2026-07-08 23:14:03. Total running time: 18min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 PENDING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Trial train_cifar_1e9a4_00006 started with configuration:
╭──────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00006 config │
├──────────────────────────────────────────────────┤
│ batch_size 4 │
│ device cuda │
│ l1 4 │
│ l2 128 │
│ lr 0.02294 │
╰──────────────────────────────────────────────────╯
(func pid=14817) [1, 2000] loss: 2.320
(func pid=14817) [1, 4000] loss: 1.158
(func pid=14817) [1, 6000] loss: 0.772
(func pid=14817) [1, 8000] loss: 0.579
Trial status: 6 TERMINATED | 1 RUNNING | 3 PENDING
Current time: 2026-07-08 23:14:33. Total running time: 19min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00006 RUNNING 4 128 0.0229355 4 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00007 PENDING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=14817) [1, 10000] loss: 0.463
Trial train_cifar_1e9a4_00006 completed after 1 iterations at 2026-07-08 23:14:40. Total running time: 19min 9s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00006 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000000 │
│ time_this_iter_s 33.03264 │
│ time_total_s 33.03264 │
│ training_iteration 1 │
│ accuracy 0.0999 │
│ loss 2.325 │
╰────────────────────────────────────────────────────────────╯
(func pid=14817) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00006_6_batch_size=4,l1=4,l2=128,lr=0.0229_2026-07-08_22-55-30/checkpoint_000000)
Trial train_cifar_1e9a4_00007 started with configuration:
╭──────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00007 config │
├──────────────────────────────────────────────────┤
│ batch_size 2 │
│ device cuda │
│ l1 2 │
│ l2 32 │
│ lr 0.04701 │
╰──────────────────────────────────────────────────╯
(func pid=15023) [1, 2000] loss: 2.353
(func pid=15023) [1, 4000] loss: 1.178
(func pid=15023) [1, 6000] loss: 0.784
Trial status: 7 TERMINATED | 1 RUNNING | 2 PENDING
Current time: 2026-07-08 23:15:03. Total running time: 19min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00007 RUNNING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15023) [1, 8000] loss: 0.589
(func pid=15023) [1, 10000] loss: 0.471
(func pid=15023) [1, 12000] loss: 0.393
(func pid=15023) [1, 14000] loss: 0.336
(func pid=15023) [1, 16000] loss: 0.295
Trial status: 7 TERMINATED | 1 RUNNING | 2 PENDING
Current time: 2026-07-08 23:15:33. Total running time: 20min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00007 RUNNING 2 32 0.0470128 2 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00008 PENDING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15023) [1, 18000] loss: 0.262
(func pid=15023) [1, 20000] loss: 0.236
Trial train_cifar_1e9a4_00007 completed after 1 iterations at 2026-07-08 23:15:47. Total running time: 20min 17s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00007 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000000 │
│ time_this_iter_s 62.39024 │
│ time_total_s 62.39024 │
│ training_iteration 1 │
│ accuracy 0.0993 │
│ loss 2.34746 │
╰────────────────────────────────────────────────────────────╯
(func pid=15023) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00007_7_batch_size=2,l1=2,l2=32,lr=0.0470_2026-07-08_22-55-30/checkpoint_000000)
Trial train_cifar_1e9a4_00008 started with configuration:
╭──────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00008 config │
├──────────────────────────────────────────────────┤
│ batch_size 4 │
│ device cuda │
│ l1 32 │
│ l2 2 │
│ lr 0.00303 │
╰──────────────────────────────────────────────────╯
(func pid=15286) [1, 2000] loss: 2.191
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:16:03. Total running time: 20min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [1, 4000] loss: 1.012
(func pid=15286) [1, 6000] loss: 0.657
(func pid=15286) [1, 8000] loss: 0.487
(func pid=15286) [1, 10000] loss: 0.388
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000000)
(func pid=15286) [2, 2000] loss: 1.936
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:16:33. Total running time: 21min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 1 32.7908 1.89867 0.2089 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [2, 4000] loss: 0.972
(func pid=15286) [2, 6000] loss: 0.643
(func pid=15286) [2, 8000] loss: 0.479
(func pid=15286) [2, 10000] loss: 0.383
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000001)
(func pid=15286) [3, 2000] loss: 1.920
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:17:03. Total running time: 21min 32s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 2 63.4347 1.94325 0.2168 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [3, 4000] loss: 0.960
(func pid=15286) [3, 6000] loss: 0.639
(func pid=15286) [3, 8000] loss: 0.480
(func pid=15286) [3, 10000] loss: 0.382
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000002)
(func pid=15286) [4, 2000] loss: 1.908
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:17:33. Total running time: 22min 2s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 3 94.1263 1.88431 0.2302 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [4, 4000] loss: 0.953
(func pid=15286) [4, 6000] loss: 0.635
(func pid=15286) [4, 8000] loss: 0.476
(func pid=15286) [4, 10000] loss: 0.383
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000003)
(func pid=15286) [5, 2000] loss: 1.936
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:18:03. Total running time: 22min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 4 124.455 1.91122 0.2011 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [5, 4000] loss: 0.968
(func pid=15286) [5, 6000] loss: 0.643
(func pid=15286) [5, 8000] loss: 0.479
(func pid=15286) [5, 10000] loss: 0.383
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000004)
(func pid=15286) [6, 2000] loss: 1.883
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:18:33. Total running time: 23min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 5 155.339 1.87551 0.2298 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [6, 4000] loss: 0.953
(func pid=15286) [6, 6000] loss: 0.654
(func pid=15286) [6, 8000] loss: 0.489
(func pid=15286) [6, 10000] loss: 0.387
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000005)
(func pid=15286) [7, 2000] loss: 1.919
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:19:03. Total running time: 23min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 6 185.877 1.91861 0.2287 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [7, 4000] loss: 0.946
(func pid=15286) [7, 6000] loss: 0.633
(func pid=15286) [7, 8000] loss: 0.477
(func pid=15286) [7, 10000] loss: 0.384
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000006)
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:19:34. Total running time: 24min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 7 216.612 1.93756 0.1843 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [8, 2000] loss: 1.931
(func pid=15286) [8, 4000] loss: 0.951
(func pid=15286) [8, 6000] loss: 0.639
(func pid=15286) [8, 8000] loss: 0.481
(func pid=15286) [8, 10000] loss: 0.393
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000007)
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:20:04. Total running time: 24min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 8 247.236 1.91189 0.2087 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [9, 2000] loss: 1.944
(func pid=15286) [9, 4000] loss: 0.992
(func pid=15286) [9, 6000] loss: 0.662
(func pid=15286) [9, 8000] loss: 0.514
(func pid=15286) [9, 10000] loss: 0.434
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000008)
Trial status: 8 TERMINATED | 1 RUNNING | 1 PENDING
Current time: 2026-07-08 23:20:34. Total running time: 25min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00008 RUNNING 32 2 0.00302866 4 9 278.102 2.26017 0.1421 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=15286) [10, 2000] loss: 2.328
(func pid=15286) [10, 4000] loss: 1.152
(func pid=15286) [10, 6000] loss: 0.768
(func pid=15286) [10, 8000] loss: 0.576
(func pid=15286) [10, 10000] loss: 0.461
Trial train_cifar_1e9a4_00008 completed after 10 iterations at 2026-07-08 23:21:01. Total running time: 25min 30s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00008 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000009 │
│ time_this_iter_s 30.92376 │
│ time_total_s 309.02538 │
│ training_iteration 10 │
│ accuracy 0.0989 │
│ loss 2.3047 │
╰────────────────────────────────────────────────────────────╯
(func pid=15286) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00008_8_batch_size=4,l1=32,l2=2,lr=0.0030_2026-07-08_22-55-30/checkpoint_000009)
Trial status: 9 TERMINATED | 1 PENDING
Current time: 2026-07-08 23:21:04. Total running time: 25min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
│ train_cifar_1e9a4_00009 PENDING 2 4 0.000136406 2 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Trial train_cifar_1e9a4_00009 started with configuration:
╭──────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00009 config │
├──────────────────────────────────────────────────┤
│ batch_size 2 │
│ device cuda │
│ l1 2 │
│ l2 4 │
│ lr 0.00014 │
╰──────────────────────────────────────────────────╯
(func pid=16582) [1, 2000] loss: 2.320
(func pid=16582) [1, 4000] loss: 1.155
(func pid=16582) [1, 6000] loss: 0.764
(func pid=16582) [1, 8000] loss: 0.565
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:21:34. Total running time: 26min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [1, 10000] loss: 0.444
(func pid=16582) [1, 12000] loss: 0.365
(func pid=16582) [1, 14000] loss: 0.303
(func pid=16582) [1, 16000] loss: 0.262
(func pid=16582) [1, 18000] loss: 0.228
(func pid=16582) [1, 20000] loss: 0.201
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:22:04. Total running time: 26min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000000)
(func pid=16582) [2, 2000] loss: 1.980
(func pid=16582) [2, 4000] loss: 0.988
(func pid=16582) [2, 6000] loss: 0.647
(func pid=16582) [2, 8000] loss: 0.484
(func pid=16582) [2, 10000] loss: 0.381
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:22:34. Total running time: 27min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 1 61.8634 1.99653 0.2013 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [2, 12000] loss: 0.317
(func pid=16582) [2, 14000] loss: 0.273
(func pid=16582) [2, 16000] loss: 0.238
(func pid=16582) [2, 18000] loss: 0.211
(func pid=16582) [2, 20000] loss: 0.189
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:23:04. Total running time: 27min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 1 61.8634 1.99653 0.2013 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000001)
(func pid=16582) [3, 2000] loss: 1.891
(func pid=16582) [3, 4000] loss: 0.934
(func pid=16582) [3, 6000] loss: 0.617
(func pid=16582) [3, 8000] loss: 0.464
(func pid=16582) [3, 10000] loss: 0.368
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:23:34. Total running time: 28min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 2 121.893 1.87391 0.2165 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [3, 12000] loss: 0.307
(func pid=16582) [3, 14000] loss: 0.261
(func pid=16582) [3, 16000] loss: 0.225
(func pid=16582) [3, 18000] loss: 0.200
(func pid=16582) [3, 20000] loss: 0.181
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:24:04. Total running time: 28min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 2 121.893 1.87391 0.2165 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000002)
(func pid=16582) [4, 2000] loss: 1.777
(func pid=16582) [4, 4000] loss: 0.897
(func pid=16582) [4, 6000] loss: 0.596
(func pid=16582) [4, 8000] loss: 0.446
(func pid=16582) [4, 10000] loss: 0.358
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:24:34. Total running time: 29min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 3 181.553 1.79079 0.2661 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [4, 12000] loss: 0.295
(func pid=16582) [4, 14000] loss: 0.252
(func pid=16582) [4, 16000] loss: 0.220
(func pid=16582) [4, 18000] loss: 0.197
(func pid=16582) [4, 20000] loss: 0.174
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:25:04. Total running time: 29min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 3 181.553 1.79079 0.2661 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000003)
(func pid=16582) [5, 2000] loss: 1.722
(func pid=16582) [5, 4000] loss: 0.857
(func pid=16582) [5, 6000] loss: 0.577
(func pid=16582) [5, 8000] loss: 0.426
(func pid=16582) [5, 10000] loss: 0.346
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:25:34. Total running time: 30min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 4 241.673 1.74493 0.2791 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [5, 12000] loss: 0.286
(func pid=16582) [5, 14000] loss: 0.245
(func pid=16582) [5, 16000] loss: 0.212
(func pid=16582) [5, 18000] loss: 0.192
(func pid=16582) [5, 20000] loss: 0.172
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:26:04. Total running time: 30min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 4 241.673 1.74493 0.2791 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000004)
(func pid=16582) [6, 2000] loss: 1.670
(func pid=16582) [6, 4000] loss: 0.838
(func pid=16582) [6, 6000] loss: 0.560
(func pid=16582) [6, 8000] loss: 0.421
(func pid=16582) [6, 10000] loss: 0.333
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:26:34. Total running time: 31min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 5 301.479 1.73848 0.2908 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [6, 12000] loss: 0.278
(func pid=16582) [6, 14000] loss: 0.237
(func pid=16582) [6, 16000] loss: 0.209
(func pid=16582) [6, 18000] loss: 0.187
(func pid=16582) [6, 20000] loss: 0.170
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:27:04. Total running time: 31min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 5 301.479 1.73848 0.2908 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000005)
(func pid=16582) [7, 2000] loss: 1.644
(func pid=16582) [7, 4000] loss: 0.827
(func pid=16582) [7, 6000] loss: 0.551
(func pid=16582) [7, 8000] loss: 0.415
(func pid=16582) [7, 10000] loss: 0.329
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:27:34. Total running time: 32min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 6 361.505 1.64947 0.3225 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [7, 12000] loss: 0.277
(func pid=16582) [7, 14000] loss: 0.232
(func pid=16582) [7, 16000] loss: 0.207
(func pid=16582) [7, 18000] loss: 0.183
(func pid=16582) [7, 20000] loss: 0.163
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:28:04. Total running time: 32min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 6 361.505 1.64947 0.3225 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000006)
(func pid=16582) [8, 2000] loss: 1.645
(func pid=16582) [8, 4000] loss: 0.821
(func pid=16582) [8, 6000] loss: 0.538
(func pid=16582) [8, 8000] loss: 0.400
(func pid=16582) [8, 10000] loss: 0.320
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:28:34. Total running time: 33min 3s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 7 421.27 1.63003 0.3356 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [8, 12000] loss: 0.272
(func pid=16582) [8, 14000] loss: 0.232
(func pid=16582) [8, 16000] loss: 0.208
(func pid=16582) [8, 18000] loss: 0.180
(func pid=16582) [8, 20000] loss: 0.164
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:29:04. Total running time: 33min 33s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 7 421.27 1.63003 0.3356 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000007)
(func pid=16582) [9, 2000] loss: 1.608
(func pid=16582) [9, 4000] loss: 0.803
(func pid=16582) [9, 6000] loss: 0.540
(func pid=16582) [9, 8000] loss: 0.406
(func pid=16582) [9, 10000] loss: 0.324
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:29:34. Total running time: 34min 4s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 8 481.087 1.62789 0.3337 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [9, 12000] loss: 0.267
(func pid=16582) [9, 14000] loss: 0.228
(func pid=16582) [9, 16000] loss: 0.200
(func pid=16582) [9, 18000] loss: 0.179
(func pid=16582) [9, 20000] loss: 0.161
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:30:04. Total running time: 34min 34s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 8 481.087 1.62789 0.3337 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000008)
(func pid=16582) [10, 2000] loss: 1.601
(func pid=16582) [10, 4000] loss: 0.801
(func pid=16582) [10, 6000] loss: 0.538
(func pid=16582) [10, 8000] loss: 0.400
(func pid=16582) [10, 10000] loss: 0.317
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:30:34. Total running time: 35min 4s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 9 541.094 1.60752 0.3468 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
(func pid=16582) [10, 12000] loss: 0.266
(func pid=16582) [10, 14000] loss: 0.225
(func pid=16582) [10, 16000] loss: 0.198
(func pid=16582) [10, 18000] loss: 0.177
(func pid=16582) [10, 20000] loss: 0.160
Trial status: 9 TERMINATED | 1 RUNNING
Current time: 2026-07-08 23:31:04. Total running time: 35min 34s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00009 RUNNING 2 4 0.000136406 2 9 541.094 1.60752 0.3468 │
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Trial train_cifar_1e9a4_00009 completed after 10 iterations at 2026-07-08 23:31:07. Total running time: 35min 36s
╭────────────────────────────────────────────────────────────╮
│ Trial train_cifar_1e9a4_00009 result │
├────────────────────────────────────────────────────────────┤
│ checkpoint_dir_name checkpoint_000009 │
│ time_this_iter_s 59.90845 │
│ time_total_s 601.00268 │
│ training_iteration 10 │
│ accuracy 0.3436 │
│ loss 1.599 │
╰────────────────────────────────────────────────────────────╯
2026-07-08 23:31:07,596 INFO tune.py:1001 -- Wrote the latest version of all result files and experiment state to '/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30' in 0.0104s.
Trial status: 10 TERMINATED
Current time: 2026-07-08 23:31:07. Total running time: 35min 36s
Logical resource usage: 2.0/16 CPUs, 1.0/1 GPUs (0.0/1.0 accelerator_type:A10G)
Current best trial: 1e9a4_00002 with loss=1.1883452300548554 and params={'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ Trial name status l1 l2 lr batch_size iter total time (s) loss accuracy │
├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ train_cifar_1e9a4_00000 TERMINATED 4 8 0.0248025 4 10 310.51 2.31647 0.1013 │
│ train_cifar_1e9a4_00001 TERMINATED 4 2 0.00985911 4 10 307.943 2.30459 0.0991 │
│ train_cifar_1e9a4_00002 TERMINATED 64 128 0.000441712 16 10 88.8214 1.18835 0.5788 │
│ train_cifar_1e9a4_00003 TERMINATED 1 8 0.00689789 4 10 312.84 2.30618 0.0972 │
│ train_cifar_1e9a4_00004 TERMINATED 2 2 0.0306116 4 1 32.4842 2.32111 0.1044 │
│ train_cifar_1e9a4_00005 TERMINATED 4 8 0.0920653 4 1 32.6961 2.36465 0.1027 │
│ train_cifar_1e9a4_00006 TERMINATED 4 128 0.0229355 4 1 33.0326 2.325 0.0999 │
│ train_cifar_1e9a4_00007 TERMINATED 2 32 0.0470128 2 1 62.3902 2.34746 0.0993 │
│ train_cifar_1e9a4_00008 TERMINATED 32 2 0.00302866 4 10 309.025 2.3047 0.0989 │
│ train_cifar_1e9a4_00009 TERMINATED 2 4 0.000136406 2 10 601.003 1.599 0.3436 │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Best trial config: {'l1': 64, 'l2': 128, 'lr': 0.0004417120489449348, 'batch_size': 16, 'device': 'cuda'}
Best trial final validation loss: 1.1883452300548554
Best trial final validation accuracy: 0.5788
(func pid=16582) Checkpoint successfully created at: Checkpoint(filesystem=local, path=/var/lib/ci-user/ray_results/train_cifar_2026-07-08_22-55-30/train_cifar_1e9a4_00009_9_batch_size=2,l1=2,l2=4,lr=0.0001_2026-07-08_22-55-30/checkpoint_000009)
Best trial test set accuracy: 0.577
结果#
你的 Ray Tune 试验摘要输出看起来类似于这样。文本表格汇总了试验的验证性能，并突出了最佳超参数配置。
Number of trials: 10/10 (10 TERMINATED)
+-----+--------------+------+------+-------------+--------+---------+------------+
| ... | batch_size | l1 | l2 | lr | iter | loss | accuracy |
|-----+--------------+------+------+-------------+--------+---------+------------|
| ... | 2 | 1 | 256 | 0.000668163 | 1 | 2.31479 | 0.0977 |
| ... | 4 | 64 | 8 | 0.0331514 | 1 | 2.31605 | 0.0983 |
| ... | 4 | 2 | 1 | 0.000150295 | 1 | 2.30755 | 0.1023 |
| ... | 16 | 32 | 32 | 0.0128248 | 10 | 1.66912 | 0.4391 |
| ... | 4 | 8 | 128 | 0.00464561 | 2 | 1.7316 | 0.3463 |
| ... | 8 | 256 | 8 | 0.00031556 | 1 | 2.19409 | 0.1736 |
| ... | 4 | 16 | 256 | 0.00574329 | 2 | 1.85679 | 0.3368 |
| ... | 8 | 2 | 2 | 0.00325652 | 1 | 2.30272 | 0.0984 |
| ... | 2 | 2 | 2 | 0.000342987 | 2 | 1.76044 | 0.292 |
| ... | 4 | 64 | 32 | 0.003734 | 8 | 1.53101 | 0.4761 |
+-----+--------------+------+------+-------------+--------+---------+------------+
Best trial config: {'l1': 64, 'l2': 32, 'lr': 0.0037339984519545164, 'batch_size': 4}
Best trial final validation loss: 1.5310075663924216
Best trial final validation accuracy: 0.4761
Best trial test set accuracy: 0.4737
大多数试验为了节省资源而提前停止。表现最好的试验达到了约 47% 的验证准确率，测试集证实了这一点。
可观测性#
在运行大规模实验时，监控至关重要。Ray 提供了一个 仪表板，让你能够查看试验状态、检查集群资源使用情况并实时查看日志。
为了进行调试，Ray 还提供 分布式调试工具，允许你将调试器附加到集群中正在运行的试验上。
结论#
在本教程中，你学习了如何使用 Ray Tune 调优 PyTorch 模型的超参数。你了解了如何将 Ray Tune 集成到 PyTorch 训练循环中、定义超参数搜索空间、使用高效的调度器（如 ASHAScheduler）提前终止表现不佳的试验、保存检查点并向 Ray Tune 报告指标，以及运行超参数搜索并分析结果。
Ray Tune 使得将实验从单机扩展到大型集群变得非常简单，帮助你高效地找到最佳模型配置。
延伸阅读#
脚本总运行时间： (71 分钟 50.871 秒)