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training_log.txt
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145 lines (145 loc) · 7.59 KB
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2025-03-07 15:50:53,193 INFO Loaded 60000 images for training
2025-03-07 15:53:26,413 INFO Loaded 60000 images for training
2025-03-07 15:53:26,414 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=28, bias=True)
(1): BatchNorm1d(28, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=28, out_features=28, bias=True)
(4): ReLU()
(5): Linear(in_features=28, out_features=10, bias=True)
)
)
2025-03-07 15:53:27,488 INFO -------------------- Start Training --------------------
2025-03-07 15:54:05,990 INFO -------------------- Training Finishes --------------------
2025-03-07 15:54:05,990 INFO -------------------- Start Eval --------------------
2025-03-07 15:54:06,196 INFO Loaded 10000 images for testing
2025-03-07 15:54:06,196 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth
2025-03-07 15:57:06,416 INFO Loaded 60000 images for training
2025-03-07 15:57:06,417 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=28, bias=True)
(1): BatchNorm1d(28, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=28, out_features=28, bias=True)
(4): ReLU()
(5): Linear(in_features=28, out_features=10, bias=True)
)
)
2025-03-07 15:57:07,437 INFO -------------------- Start Training --------------------
2025-03-07 15:57:45,723 INFO -------------------- Training Finishes --------------------
2025-03-07 15:57:45,723 INFO -------------------- Start Eval --------------------
2025-03-07 15:57:45,925 INFO Loaded 10000 images for testing
2025-03-07 15:57:45,925 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth
2025-03-07 16:37:21,694 INFO Loaded 60000 images for training
2025-03-07 16:37:21,695 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=28, bias=True)
(1): BatchNorm1d(28, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=28, out_features=28, bias=True)
(4): ReLU()
(5): Linear(in_features=28, out_features=10, bias=True)
)
)
2025-03-07 16:37:22,713 INFO -------------------- Start Training --------------------
2025-03-07 16:38:01,278 INFO -------------------- Training Finishes --------------------
2025-03-07 16:38:01,278 INFO -------------------- Start Eval --------------------
2025-03-07 16:38:01,480 INFO Loaded 10000 images for testing
2025-03-07 16:38:01,480 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth
2025-03-07 16:39:44,005 INFO Loaded 60000 images for training
2025-03-07 16:39:44,006 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=28, bias=True)
(1): BatchNorm1d(28, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=28, out_features=28, bias=True)
(4): ReLU()
(5): Linear(in_features=28, out_features=10, bias=True)
)
)
2025-03-07 16:39:45,016 INFO -------------------- Start Training --------------------
2025-03-07 16:40:23,358 INFO -------------------- Training Finishes --------------------
2025-03-07 16:40:23,358 INFO -------------------- Start Eval --------------------
2025-03-07 16:40:23,560 INFO Loaded 10000 images for testing
2025-03-07 16:40:23,561 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth
2025-03-07 16:41:04,400 INFO Loaded 60000 images for training
2025-03-07 16:41:04,401 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=28, bias=True)
(1): BatchNorm1d(28, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=28, out_features=28, bias=True)
(4): ReLU()
(5): Linear(in_features=28, out_features=10, bias=True)
)
)
2025-03-07 16:41:05,413 INFO -------------------- Start Training --------------------
2025-03-07 16:41:43,818 INFO -------------------- Training Finishes --------------------
2025-03-07 16:41:43,818 INFO -------------------- Start Eval --------------------
2025-03-07 16:41:44,018 INFO Loaded 10000 images for testing
2025-03-07 16:41:44,018 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth
2025-03-23 14:12:24,514 INFO Loaded 60000 images for training
2025-03-23 14:12:24,514 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=128, bias=True)
(1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=128, out_features=128, bias=True)
(4): ReLU()
(5): Linear(in_features=128, out_features=10, bias=True)
)
)
2025-03-23 14:12:33,408 INFO -------------------- Start Training --------------------
2025-03-23 14:14:07,955 INFO -------------------- Training Finishes --------------------
2025-03-23 14:14:07,955 INFO -------------------- Start Eval --------------------
2025-03-23 14:14:08,161 INFO Loaded 10000 images for testing
2025-03-23 14:14:08,161 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth
2025-03-23 14:20:30,502 INFO Loaded 60000 images for training
2025-03-23 14:20:30,517 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=128, bias=True)
(1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=128, out_features=128, bias=True)
(4): ReLU()
(5): Linear(in_features=128, out_features=10, bias=True)
)
)
2025-03-23 14:20:31,836 INFO -------------------- Start Training --------------------
2025-03-23 14:22:05,925 INFO -------------------- Training Finishes --------------------
2025-03-23 14:22:05,925 INFO -------------------- Start Eval --------------------
2025-03-23 14:22:06,124 INFO Loaded 10000 images for testing
2025-03-23 14:22:06,124 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth
2025-03-23 14:35:35,113 INFO Loaded 60000 images for training
2025-03-23 14:35:35,129 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=128, bias=True)
(1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=128, out_features=128, bias=True)
(4): ReLU()
(5): Linear(in_features=128, out_features=10, bias=True)
)
)
2025-03-23 14:35:36,476 INFO -------------------- Start Training --------------------
2025-03-23 14:37:10,034 INFO -------------------- Training Finishes --------------------
2025-03-23 14:37:10,034 INFO -------------------- Start Eval --------------------
2025-03-23 14:37:10,208 INFO Loaded 10000 images for testing
2025-03-23 14:37:10,208 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth
2025-04-05 13:24:31,231 INFO Loaded 60000 images for training
2025-04-05 13:24:31,231 INFO MNISTClassifier(
(net): Sequential(
(0): Linear(in_features=784, out_features=128, bias=True)
(1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=128, out_features=128, bias=True)
(4): ReLU()
(5): Linear(in_features=128, out_features=10, bias=True)
)
)
2025-04-05 13:24:45,011 INFO -------------------- Start Training --------------------
2025-04-05 13:26:20,652 INFO -------------------- Training Finishes --------------------
2025-04-05 13:26:20,657 INFO -------------------- Start Eval --------------------
2025-04-05 13:26:20,881 INFO Loaded 10000 images for testing
2025-04-05 13:26:20,881 INFO Eval checkpoit: ./output/checkpoint_epoch_10.pth