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EHR-batch-40.out
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[rank: 0] Global seed set to 7
wandb: Currently logged in as: mai-cs (abr-ehr). Use `wandb login --relogin` to force relogin
wandb: wandb version 0.14.0 is available! To upgrade, please run:
wandb: $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.13.9
wandb: Run data is saved locally in ./wandb/run-20230331_053842-8udjk7oa
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run MBertLstm
wandb: ⭐️ View project at https://wandb.ai/abr-ehr/arf_12.0_MBertLstm
wandb: 🚀 View run at https://wandb.ai/abr-ehr/arf_12.0_MBertLstm/runs/8udjk7oa
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/pytorch_lightning/trainer/connectors/accelerator_connector.py:467: LightningDeprecationWarning: Setting `Trainer(gpus=-1)` is deprecated in v1.7 and will be removed in v2.0. Please use `Trainer(accelerator='gpu', devices=-1)` instead.
rank_zero_deprecation(
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available: False, using: 0 HPUs
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/pytorch_lightning/loops/utilities.py:94: PossibleUserWarning: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.
rank_zero_warn(
You are using a CUDA device ('NVIDIA A100-SXM4-40GB') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/pytorch_lightning/callbacks/model_checkpoint.py:612: UserWarning: Checkpoint directory /l/users/mai.kassem/datasets/ClinicalBERT_checkpoint exists and is not empty.
rank_zero_warn(f"Checkpoint directory {dirpath} exists and is not empty.")
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [1]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
warnings.warn(
| Name | Type | Params
----------------------------------
0 | ti_enc | Linear | 6.2 K
1 | ts_enc | Lstm | 25.7 M
2 | nt_enc | Bert | 109 M
3 | gate | Gate | 446 K
4 | pred | Linear | 769
----------------------------------
135 M Trainable params
0 Non-trainable params
135 M Total params
542.736 Total estimated model params size (MB)
SLURM auto-requeueing enabled. Setting signal handlers.
Run ARF_12.0_MBertLstm: MBertLstm
done with the trainer step
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
Sanity Checking: 0it [00:00, ?it/s]Sanity Checking: 0%| | 0/2 [00:00<?, ?it/s]Sanity Checking DataLoader 0: 0%| | 0/2 [00:00<?, ?it/s]Sanity Checking DataLoader 0: 50%|█████ | 1/2 [00:00<00:00, 1.73it/s]Sanity Checking DataLoader 0: 100%|██████████| 2/2 [00:00<00:00, 2.13it/s] Training: 0it [00:00, ?it/s]Training: 0%| | 0/201 [00:00<?, ?it/s]Epoch 0: 0%| | 0/201 [00:00<?, ?it/s] Epoch 0: 0%| | 1/201 [00:03<10:53, 3.27s/it]Epoch 0: 0%| | 1/201 [00:03<10:53, 3.27s/it, loss=1.09, v_num=k7oa]Epoch 0: 1%| | 2/201 [00:04<06:51, 2.07s/it, loss=1.09, v_num=k7oa]Epoch 0: 1%| | 2/201 [00:04<06:51, 2.07s/it, loss=1.07, v_num=k7oa]Epoch 0: 1%|▏ | 3/201 [00:05<05:30, 1.67s/it, loss=1.07, v_num=k7oa]Epoch 0: 1%|▏ | 3/201 [00:05<05:30, 1.67s/it, loss=1.06, v_num=k7oa]Epoch 0: 2%|▏ | 4/201 [00:05<04:49, 1.47s/it, loss=1.06, v_num=k7oa]Epoch 0: 2%|▏ | 4/201 [00:05<04:49, 1.47s/it, loss=1.07, v_num=k7oa]Epoch 0: 2%|▏ | 5/201 [00:06<04:24, 1.35s/it, loss=1.07, v_num=k7oa]Epoch 0: 2%|▏ | 5/201 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Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.54it/s][AEpoch 0: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.57it/s][AEpoch 0: 85%|████████▍ | 170/201 [02:30<00:27, 1.13it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.59it/s][AEpoch 0: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.61it/s][AEpoch 0: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.62it/s][AEpoch 0: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=1.07, v_num=k7oa]
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Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.62it/s][AEpoch 0: 87%|████████▋ | 175/201 [02:31<00:22, 1.15it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:06, 3.62it/s][AEpoch 0: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.61it/s][AEpoch 0: 88%|████████▊ | 177/201 [02:32<00:20, 1.16it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.62it/s][AEpoch 0: 89%|████████▊ | 178/201 [02:32<00:19, 1.17it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.62it/s][AEpoch 0: 89%|████████▉ | 179/201 [02:32<00:18, 1.17it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.63it/s][AEpoch 0: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.63it/s][AEpoch 0: 90%|█████████ | 181/201 [02:33<00:16, 1.18it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.63it/s][AEpoch 0: 91%|█████████ | 182/201 [02:33<00:16, 1.19it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.63it/s][AEpoch 0: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.63it/s][AEpoch 0: 92%|█████████▏| 184/201 [02:33<00:14, 1.19it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.64it/s][AEpoch 0: 92%|█████████▏| 185/201 [02:34<00:13, 1.20it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.64it/s][AEpoch 0: 93%|█████████▎| 186/201 [02:34<00:12, 1.20it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.64it/s][AEpoch 0: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.64it/s][AEpoch 0: 94%|█████████▎| 188/201 [02:35<00:10, 1.21it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.65it/s][AEpoch 0: 94%|█████████▍| 189/201 [02:35<00:09, 1.22it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.65it/s][AEpoch 0: 95%|█████████▍| 190/201 [02:35<00:09, 1.22it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.65it/s][AEpoch 0: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.65it/s][AEpoch 0: 96%|█████████▌| 192/201 [02:36<00:07, 1.23it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.65it/s][AEpoch 0: 96%|█████████▌| 193/201 [02:36<00:06, 1.23it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.65it/s][AEpoch 0: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.65it/s][AEpoch 0: 97%|█████████▋| 195/201 [02:36<00:04, 1.24it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.65it/s][AEpoch 0: 98%|█████████▊| 196/201 [02:37<00:04, 1.25it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.65it/s][AEpoch 0: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.65it/s][AEpoch 0: 99%|█████████▊| 198/201 [02:37<00:02, 1.25it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.65it/s][AEpoch 0: 99%|█████████▉| 199/201 [02:38<00:01, 1.26it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.65it/s][AEpoch 0: 100%|█████████▉| 200/201 [02:38<00:00, 1.26it/s, loss=1.07, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.68it/s][AEpoch 0: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=1.07, v_num=k7oa]Epoch 0: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=1.07, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
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[02:15<00:42, 1.13it/s, loss=0.366, v_num=k7oa]Epoch 1: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.366, v_num=k7oa]Epoch 1: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.358, v_num=k7oa]Epoch 1: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.358, v_num=k7oa]Epoch 1: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.366, v_num=k7oa]Epoch 1: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.366, v_num=k7oa]Epoch 1: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.366, v_num=k7oa]Epoch 1: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.366, v_num=k7oa]Epoch 1: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.36, v_num=k7oa] Epoch 1: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.36, v_num=k7oa]Epoch 1: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.345, v_num=k7oa]Epoch 1: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.345, v_num=k7oa]Epoch 1: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.343, v_num=k7oa]Epoch 1: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.343, v_num=k7oa]Epoch 1: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.336, v_num=k7oa]Epoch 1: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.336, v_num=k7oa]Epoch 1: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.33, v_num=k7oa] Epoch 1: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.33, v_num=k7oa]Epoch 1: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.316, v_num=k7oa]Epoch 1: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.316, v_num=k7oa]Epoch 1: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.319, v_num=k7oa]Epoch 1: 82%|████████▏ | 164/201 [02:24<00:32, 1.13it/s, loss=0.319, v_num=k7oa]Epoch 1: 82%|████████▏ | 164/201 [02:24<00:32, 1.13it/s, loss=0.328, v_num=k7oa]Epoch 1: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.328, v_num=k7oa]Epoch 1: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.326, v_num=k7oa]Epoch 1: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.326, v_num=k7oa]Epoch 1: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.318, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 0%| | 0/35 [00:00<?, ?it/s][A
Validation DataLoader 0: 3%|▎ | 1/35 [00:00<00:11, 3.05it/s][AEpoch 1: 83%|████████▎ | 167/201 [02:29<00:30, 1.12it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:10, 3.26it/s][AEpoch 1: 84%|████████▎ | 168/201 [02:29<00:29, 1.13it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.38it/s][AEpoch 1: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.45it/s][AEpoch 1: 85%|████████▍ | 170/201 [02:29<00:27, 1.13it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.50it/s][AEpoch 1: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.53it/s][AEpoch 1: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.55it/s][AEpoch 1: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.56it/s][AEpoch 1: 87%|████████▋ | 174/201 [02:30<00:23, 1.15it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.57it/s][AEpoch 1: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:07, 3.55it/s][AEpoch 1: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.55it/s][AEpoch 1: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.56it/s][AEpoch 1: 89%|████████▊ | 178/201 [02:32<00:19, 1.17it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.57it/s][AEpoch 1: 89%|████████▉ | 179/201 [02:32<00:18, 1.17it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.58it/s][AEpoch 1: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.59it/s][AEpoch 1: 90%|█████████ | 181/201 [02:32<00:16, 1.18it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.59it/s][AEpoch 1: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:05, 3.60it/s][AEpoch 1: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.60it/s][AEpoch 1: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.61it/s][AEpoch 1: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.61it/s][AEpoch 1: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.62it/s][AEpoch 1: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.62it/s][AEpoch 1: 94%|█████████▎| 188/201 [02:34<00:10, 1.21it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.62it/s][AEpoch 1: 94%|█████████▍| 189/201 [02:35<00:09, 1.22it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.62it/s][AEpoch 1: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.62it/s][AEpoch 1: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.62it/s][AEpoch 1: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.63it/s][AEpoch 1: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.63it/s][AEpoch 1: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.63it/s][AEpoch 1: 97%|█████████▋| 195/201 [02:36<00:04, 1.24it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.63it/s][AEpoch 1: 98%|█████████▊| 196/201 [02:36<00:04, 1.25it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.63it/s][AEpoch 1: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.63it/s][AEpoch 1: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.63it/s][AEpoch 1: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.63it/s][AEpoch 1: 100%|█████████▉| 200/201 [02:38<00:00, 1.27it/s, loss=0.318, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.66it/s][AEpoch 1: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.318, v_num=k7oa]Epoch 1: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.318, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 1: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.318, v_num=k7oa]Epoch 1: 0%| | 0/201 [00:00<?, ?it/s, loss=0.318, v_num=k7oa] Epoch 2: 0%| | 0/201 [00:00<?, ?it/s, loss=0.318, v_num=k7oa]Epoch 2: 0%| | 1/201 [00:03<10:42, 3.21s/it, loss=0.318, v_num=k7oa]Epoch 2: 0%| | 1/201 [00:03<10:42, 3.21s/it, loss=0.311, v_num=k7oa]Epoch 2: 1%| | 2/201 [00:04<06:46, 2.04s/it, loss=0.311, v_num=k7oa]Epoch 2: 1%| | 2/201 [00:04<06:46, 2.04s/it, loss=0.311, v_num=k7oa]Epoch 2: 1%|▏ | 3/201 [00:04<05:26, 1.65s/it, loss=0.311, v_num=k7oa]Epoch 2: 1%|▏ | 3/201 [00:04<05:26, 1.65s/it, loss=0.316, v_num=k7oa]Epoch 2: 2%|▏ | 4/201 [00:05<04:46, 1.45s/it, loss=0.316, v_num=k7oa]Epoch 2: 2%|▏ | 4/201 [00:05<04:46, 1.45s/it, loss=0.312, v_num=k7oa]Epoch 2: 2%|▏ | 5/201 [00:06<04:22, 1.34s/it, loss=0.312, v_num=k7oa]Epoch 2: 2%|▏ | 5/201 [00:06<04:22, 1.34s/it, loss=0.294, v_num=k7oa]Epoch 2: 3%|▎ | 6/201 [00:07<04:05, 1.26s/it, loss=0.294, v_num=k7oa]Epoch 2: 3%|▎ | 6/201 [00:07<04:05, 1.26s/it, loss=0.3, v_num=k7oa] Epoch 2: 3%|▎ | 7/201 [00:08<03:53, 1.20s/it, loss=0.3, v_num=k7oa]Epoch 2: 3%|▎ | 7/201 [00:08<03:53, 1.20s/it, loss=0.309, v_num=k7oa]Epoch 2: 4%|▍ | 8/201 [00:09<03:44, 1.16s/it, loss=0.309, v_num=k7oa]Epoch 2: 4%|▍ | 8/201 [00:09<03:44, 1.16s/it, loss=0.328, v_num=k7oa]Epoch 2: 4%|▍ | 9/201 [00:10<03:36, 1.13s/it, loss=0.328, v_num=k7oa]Epoch 2: 4%|▍ | 9/201 [00:10<03:36, 1.13s/it, loss=0.328, v_num=k7oa]Epoch 2: 5%|▍ | 10/201 [00:11<03:30, 1.10s/it, loss=0.328, v_num=k7oa]Epoch 2: 5%|▍ | 10/201 [00:11<03:30, 1.10s/it, loss=0.33, v_num=k7oa] Epoch 2: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.33, v_num=k7oa]Epoch 2: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.334, v_num=k7oa]Epoch 2: 6%|▌ | 12/201 [00:12<03:21, 1.07s/it, loss=0.334, v_num=k7oa]Epoch 2: 6%|▌ | 12/201 [00:12<03:21, 1.07s/it, loss=0.329, v_num=k7oa]Epoch 2: 6%|▋ | 13/201 [00:13<03:17, 1.05s/it, loss=0.329, v_num=k7oa]Epoch 2: 6%|▋ | 13/201 [00:13<03:17, 1.05s/it, loss=0.332, v_num=k7oa]Epoch 2: 7%|▋ | 14/201 [00:14<03:13, 1.04s/it, loss=0.332, v_num=k7oa]Epoch 2: 7%|▋ | 14/201 [00:14<03:13, 1.04s/it, loss=0.334, v_num=k7oa]Epoch 2: 7%|▋ | 15/201 [00:15<03:10, 1.03s/it, loss=0.334, v_num=k7oa]Epoch 2: 7%|▋ | 15/201 [00:15<03:10, 1.03s/it, loss=0.333, v_num=k7oa]Epoch 2: 8%|▊ | 16/201 [00:16<03:08, 1.02s/it, loss=0.333, v_num=k7oa]Epoch 2: 8%|▊ | 16/201 [00:16<03:08, 1.02s/it, loss=0.34, v_num=k7oa] Epoch 2: 8%|▊ | 17/201 [00:17<03:05, 1.01s/it, loss=0.34, v_num=k7oa]Epoch 2: 8%|▊ | 17/201 [00:17<03:05, 1.01s/it, loss=0.341, v_num=k7oa]Epoch 2: 9%|▉ | 18/201 [00:18<03:03, 1.00s/it, loss=0.341, v_num=k7oa]Epoch 2: 9%|▉ | 18/201 [00:18<03:03, 1.00s/it, loss=0.34, v_num=k7oa] Epoch 2: 9%|▉ | 19/201 [00:18<03:00, 1.01it/s, loss=0.34, v_num=k7oa]Epoch 2: 9%|▉ | 19/201 [00:18<03:00, 1.01it/s, loss=0.339, v_num=k7oa]Epoch 2: 10%|▉ | 20/201 [00:19<02:58, 1.01it/s, loss=0.339, v_num=k7oa]Epoch 2: 10%|▉ | 20/201 [00:19<02:58, 1.01it/s, loss=0.344, v_num=k7oa]Epoch 2: 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[01:58<00:59, 1.13it/s, loss=0.369, v_num=k7oa]Epoch 2: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.369, v_num=k7oa]Epoch 2: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.372, v_num=k7oa]Epoch 2: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.372, v_num=k7oa]Epoch 2: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.365, v_num=k7oa]Epoch 2: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.365, v_num=k7oa]Epoch 2: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.364, v_num=k7oa]Epoch 2: 69%|██████▉ | 139/201 [02:03<00:55, 1.13it/s, loss=0.364, v_num=k7oa]Epoch 2: 69%|██████▉ | 139/201 [02:03<00:55, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 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v_num=k7oa]Epoch 2: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.393, v_num=k7oa]Epoch 2: 74%|███████▎ | 148/201 [02:11<00:46, 1.13it/s, loss=0.393, v_num=k7oa]Epoch 2: 74%|███████▎ | 148/201 [02:11<00:46, 1.13it/s, loss=0.383, v_num=k7oa]Epoch 2: 74%|███████▍ | 149/201 [02:12<00:46, 1.13it/s, loss=0.383, v_num=k7oa]Epoch 2: 74%|███████▍ | 149/201 [02:12<00:46, 1.13it/s, loss=0.37, v_num=k7oa] Epoch 2: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.37, v_num=k7oa]Epoch 2: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.374, v_num=k7oa]Epoch 2: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.374, v_num=k7oa]Epoch 2: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.372, v_num=k7oa]Epoch 2: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.372, v_num=k7oa]Epoch 2: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.374, v_num=k7oa]Epoch 2: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.374, v_num=k7oa]Epoch 2: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.371, v_num=k7oa]Epoch 2: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.371, v_num=k7oa]Epoch 2: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.358, v_num=k7oa]Epoch 2: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.358, v_num=k7oa]Epoch 2: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.355, v_num=k7oa]Epoch 2: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.355, v_num=k7oa]Epoch 2: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 2: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.364, v_num=k7oa]Epoch 2: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.364, v_num=k7oa]Epoch 2: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.362, v_num=k7oa]Epoch 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1.13it/s, loss=0.317, v_num=k7oa]Epoch 2: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.31, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:10, 3.20it/s][AEpoch 2: 84%|████████▎ | 168/201 [02:29<00:29, 1.13it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.35it/s][AEpoch 2: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:09, 3.42it/s][AEpoch 2: 85%|████████▍ | 170/201 [02:29<00:27, 1.13it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.47it/s][AEpoch 2: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.50it/s][AEpoch 2: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.52it/s][AEpoch 2: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.54it/s][AEpoch 2: 87%|████████▋ | 174/201 [02:30<00:23, 1.15it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.55it/s][AEpoch 2: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:07, 3.56it/s][AEpoch 2: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.53it/s][AEpoch 2: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.54it/s][AEpoch 2: 89%|████████▊ | 178/201 [02:32<00:19, 1.17it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.55it/s][AEpoch 2: 89%|████████▉ | 179/201 [02:32<00:18, 1.18it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.56it/s][AEpoch 2: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.57it/s][AEpoch 2: 90%|█████████ | 181/201 [02:32<00:16, 1.18it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.58it/s][AEpoch 2: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:05, 3.58it/s][AEpoch 2: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:05<00:04, 3.59it/s][AEpoch 2: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.60it/s][AEpoch 2: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.60it/s][AEpoch 2: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.60it/s][AEpoch 2: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.61it/s][AEpoch 2: 94%|█████████▎| 188/201 [02:34<00:10, 1.22it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.61it/s][AEpoch 2: 94%|█████████▍| 189/201 [02:35<00:09, 1.22it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.61it/s][AEpoch 2: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.62it/s][AEpoch 2: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.62it/s][AEpoch 2: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.62it/s][AEpoch 2: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.62it/s][AEpoch 2: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:08<00:01, 3.62it/s][AEpoch 2: 97%|█████████▋| 195/201 [02:36<00:04, 1.24it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.62it/s][AEpoch 2: 98%|█████████▊| 196/201 [02:36<00:04, 1.25it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.62it/s][AEpoch 2: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.63it/s][AEpoch 2: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.63it/s][AEpoch 2: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.63it/s][AEpoch 2: 100%|█████████▉| 200/201 [02:38<00:00, 1.27it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.66it/s][AEpoch 2: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.31, v_num=k7oa]Epoch 2: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.31, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 2: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.31, v_num=k7oa]Epoch 2: 0%| | 0/201 [00:00<?, ?it/s, loss=0.31, v_num=k7oa] Epoch 3: 0%| | 0/201 [00:00<?, ?it/s, loss=0.31, v_num=k7oa]Epoch 3: 0%| | 1/201 [00:03<10:40, 3.20s/it, loss=0.31, v_num=k7oa]Epoch 3: 0%| | 1/201 [00:03<10:40, 3.20s/it, loss=0.312, v_num=k7oa]Epoch 3: 1%| | 2/201 [00:04<06:45, 2.04s/it, loss=0.312, v_num=k7oa]Epoch 3: 1%| | 2/201 [00:04<06:45, 2.04s/it, loss=0.307, v_num=k7oa]Epoch 3: 1%|▏ | 3/201 [00:04<05:26, 1.65s/it, loss=0.307, v_num=k7oa]Epoch 3: 1%|▏ | 3/201 [00:04<05:26, 1.65s/it, loss=0.314, v_num=k7oa]Epoch 3: 2%|▏ | 4/201 [00:05<04:46, 1.45s/it, loss=0.314, v_num=k7oa]Epoch 3: 2%|▏ | 4/201 [00:05<04:46, 1.45s/it, loss=0.301, v_num=k7oa]Epoch 3: 2%|▏ | 5/201 [00:06<04:22, 1.34s/it, loss=0.301, v_num=k7oa]Epoch 3: 2%|▏ | 5/201 [00:06<04:22, 1.34s/it, loss=0.311, v_num=k7oa]Epoch 3: 3%|▎ | 6/201 [00:07<04:05, 1.26s/it, loss=0.311, v_num=k7oa]Epoch 3: 3%|▎ | 6/201 [00:07<04:06, 1.26s/it, loss=0.305, v_num=k7oa]Epoch 3: 3%|▎ | 7/201 [00:08<03:53, 1.21s/it, loss=0.305, v_num=k7oa]Epoch 3: 3%|▎ | 7/201 [00:08<03:53, 1.21s/it, loss=0.318, v_num=k7oa]Epoch 3: 4%|▍ | 8/201 [00:09<03:44, 1.16s/it, loss=0.318, v_num=k7oa]Epoch 3: 4%|▍ | 8/201 [00:09<03:44, 1.16s/it, loss=0.322, v_num=k7oa]Epoch 3: 4%|▍ | 9/201 [00:10<03:37, 1.13s/it, loss=0.322, v_num=k7oa]Epoch 3: 4%|▍ | 9/201 [00:10<03:37, 1.13s/it, loss=0.324, v_num=k7oa]Epoch 3: 5%|▍ | 10/201 [00:11<03:31, 1.11s/it, loss=0.324, v_num=k7oa]Epoch 3: 5%|▍ | 10/201 [00:11<03:31, 1.11s/it, loss=0.317, v_num=k7oa]Epoch 3: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.317, v_num=k7oa]Epoch 3: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.312, v_num=k7oa]Epoch 3: 6%|▌ | 12/201 [00:12<03:21, 1.07s/it, loss=0.312, v_num=k7oa]Epoch 3: 6%|▌ | 12/201 [00:12<03:21, 1.07s/it, loss=0.302, v_num=k7oa]Epoch 3: 6%|▋ | 13/201 [00:13<03:17, 1.05s/it, loss=0.302, v_num=k7oa]Epoch 3: 6%|▋ | 13/201 [00:13<03:17, 1.05s/it, loss=0.303, v_num=k7oa]Epoch 3: 7%|▋ | 14/201 [00:14<03:14, 1.04s/it, loss=0.303, v_num=k7oa]Epoch 3: 7%|▋ | 14/201 [00:14<03:14, 1.04s/it, loss=0.31, v_num=k7oa] Epoch 3: 7%|▋ | 15/201 [00:15<03:11, 1.03s/it, loss=0.31, v_num=k7oa]Epoch 3: 7%|▋ | 15/201 [00:15<03:11, 1.03s/it, loss=0.316, v_num=k7oa]Epoch 3: 8%|▊ | 16/201 [00:16<03:08, 1.02s/it, loss=0.316, v_num=k7oa]Epoch 3: 8%|▊ | 16/201 [00:16<03:08, 1.02s/it, loss=0.32, v_num=k7oa] Epoch 3: 8%|▊ | 17/201 [00:17<03:05, 1.01s/it, loss=0.32, v_num=k7oa]Epoch 3: 8%|▊ | 17/201 [00:17<03:05, 1.01s/it, loss=0.325, v_num=k7oa]Epoch 3: 9%|▉ | 18/201 [00:18<03:03, 1.00s/it, loss=0.325, v_num=k7oa]Epoch 3: 9%|▉ | 18/201 [00:18<03:03, 1.00s/it, loss=0.336, v_num=k7oa]Epoch 3: 9%|▉ | 19/201 [00:18<03:01, 1.01it/s, loss=0.336, v_num=k7oa]Epoch 3: 9%|▉ | 19/201 [00:18<03:01, 1.01it/s, loss=0.347, v_num=k7oa]Epoch 3: 10%|▉ | 20/201 [00:19<02:58, 1.01it/s, loss=0.347, v_num=k7oa]Epoch 3: 10%|▉ | 20/201 [00:19<02:58, 1.01it/s, loss=0.36, v_num=k7oa] Epoch 3: 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loss=0.327, v_num=k7oa]Epoch 3: 21%|██ | 42/201 [00:38<02:27, 1.08it/s, loss=0.327, v_num=k7oa]Epoch 3: 21%|██ | 42/201 [00:38<02:27, 1.08it/s, loss=0.333, v_num=k7oa]Epoch 3: 21%|██▏ | 43/201 [00:39<02:26, 1.08it/s, loss=0.333, v_num=k7oa]Epoch 3: 21%|██▏ | 43/201 [00:39<02:26, 1.08it/s, loss=0.329, v_num=k7oa]Epoch 3: 22%|██▏ | 44/201 [00:40<02:25, 1.08it/s, loss=0.329, v_num=k7oa]Epoch 3: 22%|██▏ | 44/201 [00:40<02:25, 1.08it/s, loss=0.314, v_num=k7oa]Epoch 3: 22%|██▏ | 45/201 [00:41<02:24, 1.08it/s, loss=0.314, v_num=k7oa]Epoch 3: 22%|██▏ | 45/201 [00:41<02:24, 1.08it/s, loss=0.315, v_num=k7oa]Epoch 3: 23%|██▎ | 46/201 [00:42<02:22, 1.08it/s, loss=0.315, v_num=k7oa]Epoch 3: 23%|██▎ | 46/201 [00:42<02:22, 1.08it/s, loss=0.317, v_num=k7oa]Epoch 3: 23%|██▎ | 47/201 [00:43<02:21, 1.09it/s, loss=0.317, v_num=k7oa]Epoch 3: 23%|██▎ | 47/201 [00:43<02:21, 1.09it/s, loss=0.327, v_num=k7oa]Epoch 3: 24%|██▍ | 48/201 [00:44<02:20, 1.09it/s, loss=0.327, v_num=k7oa]Epoch 3: 24%|██▍ | 48/201 [00:44<02:20, 1.09it/s, loss=0.335, v_num=k7oa]Epoch 3: 24%|██▍ | 49/201 [00:45<02:19, 1.09it/s, loss=0.335, v_num=k7oa]Epoch 3: 24%|██▍ | 49/201 [00:45<02:19, 1.09it/s, loss=0.34, v_num=k7oa] Epoch 3: 25%|██▍ | 50/201 [00:45<02:18, 1.09it/s, loss=0.34, v_num=k7oa]Epoch 3: 25%|██▍ | 50/201 [00:45<02:18, 1.09it/s, loss=0.336, v_num=k7oa]Epoch 3: 25%|██▌ | 51/201 [00:46<02:17, 1.09it/s, loss=0.336, v_num=k7oa]Epoch 3: 25%|██▌ | 51/201 [00:46<02:17, 1.09it/s, loss=0.347, v_num=k7oa]Epoch 3: 26%|██▌ | 52/201 [00:47<02:16, 1.09it/s, loss=0.347, v_num=k7oa]Epoch 3: 26%|██▌ | 52/201 [00:47<02:16, 1.09it/s, loss=0.359, v_num=k7oa]Epoch 3: 26%|██▋ | 53/201 [00:48<02:15, 1.09it/s, loss=0.359, v_num=k7oa]Epoch 3: 26%|██▋ | 53/201 [00:48<02:15, 1.09it/s, loss=0.358, v_num=k7oa]Epoch 3: 27%|██▋ | 54/201 [00:49<02:14, 1.09it/s, loss=0.358, v_num=k7oa]Epoch 3: 27%|██▋ | 54/201 [00:49<02:14, 1.09it/s, loss=0.359, v_num=k7oa]Epoch 3: 27%|██▋ | 55/201 [00:50<02:13, 1.09it/s, loss=0.359, v_num=k7oa]Epoch 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[01:58<00:59, 1.13it/s, loss=0.352, v_num=k7oa]Epoch 3: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.352, v_num=k7oa]Epoch 3: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.349, v_num=k7oa]Epoch 3: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.349, v_num=k7oa]Epoch 3: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.34, v_num=k7oa] Epoch 3: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.34, v_num=k7oa]Epoch 3: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.336, v_num=k7oa]Epoch 3: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.336, v_num=k7oa]Epoch 3: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.339, v_num=k7oa]Epoch 3: 69%|██████▉ | 139/201 [02:03<00:54, 1.13it/s, loss=0.339, v_num=k7oa]Epoch 3: 69%|██████▉ | 139/201 [02:03<00:54, 1.13it/s, loss=0.339, v_num=k7oa]Epoch 3: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.339, v_num=k7oa]Epoch 3: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.342, v_num=k7oa]Epoch 3: 70%|███████ | 141/201 [02:05<00:53, 1.13it/s, loss=0.342, v_num=k7oa]Epoch 3: 70%|███████ | 141/201 [02:05<00:53, 1.13it/s, loss=0.342, v_num=k7oa]Epoch 3: 71%|███████ | 142/201 [02:05<00:52, 1.13it/s, loss=0.342, v_num=k7oa]Epoch 3: 71%|███████ | 142/201 [02:05<00:52, 1.13it/s, loss=0.325, v_num=k7oa]Epoch 3: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.325, v_num=k7oa]Epoch 3: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.328, v_num=k7oa]Epoch 3: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.328, v_num=k7oa]Epoch 3: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.325, v_num=k7oa]Epoch 3: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.325, v_num=k7oa]Epoch 3: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.319, v_num=k7oa]Epoch 3: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.319, v_num=k7oa]Epoch 3: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.324, v_num=k7oa]Epoch 3: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.324, v_num=k7oa]Epoch 3: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.328, v_num=k7oa]Epoch 3: 74%|███████▎ | 148/201 [02:11<00:46, 1.13it/s, loss=0.328, v_num=k7oa]Epoch 3: 74%|███████▎ | 148/201 [02:11<00:46, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 3: 74%|███████▍ | 149/201 [02:11<00:46, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 3: 74%|███████▍ | 149/201 [02:11<00:46, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 3: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 3: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.327, v_num=k7oa]Epoch 3: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.327, v_num=k7oa]Epoch 3: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.339, v_num=k7oa]Epoch 3: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.339, v_num=k7oa]Epoch 3: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.335, v_num=k7oa]Epoch 3: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.335, v_num=k7oa]Epoch 3: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.327, v_num=k7oa]Epoch 3: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.327, v_num=k7oa]Epoch 3: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 3: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 3: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.324, v_num=k7oa]Epoch 3: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.324, v_num=k7oa]Epoch 3: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.337, v_num=k7oa]Epoch 3: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.337, v_num=k7oa]Epoch 3: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.342, v_num=k7oa]Epoch 3: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.342, v_num=k7oa]Epoch 3: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.346, v_num=k7oa]Epoch 3: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.346, v_num=k7oa]Epoch 3: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 3: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 3: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.356, v_num=k7oa]Epoch 3: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.356, v_num=k7oa]Epoch 3: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.349, v_num=k7oa]Epoch 3: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.349, v_num=k7oa]Epoch 3: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.35, v_num=k7oa] Epoch 3: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.35, v_num=k7oa]Epoch 3: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.353, v_num=k7oa]Epoch 3: 82%|████████▏ | 164/201 [02:25<00:32, 1.13it/s, loss=0.353, v_num=k7oa]Epoch 3: 82%|████████▏ | 164/201 [02:25<00:32, 1.13it/s, loss=0.359, v_num=k7oa]Epoch 3: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.359, v_num=k7oa]Epoch 3: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 3: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.363, v_num=k7oa]Epoch 3: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.365, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 0%| | 0/35 [00:00<?, ?it/s][A
Validation DataLoader 0: 3%|▎ | 1/35 [00:00<00:10, 3.22it/s][AEpoch 3: 83%|████████▎ | 167/201 [02:29<00:30, 1.12it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.41it/s][AEpoch 3: 84%|████████▎ | 168/201 [02:29<00:29, 1.12it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.49it/s][AEpoch 3: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.52it/s][AEpoch 3: 85%|████████▍ | 170/201 [02:29<00:27, 1.13it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.55it/s][AEpoch 3: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.57it/s][AEpoch 3: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.55it/s][AEpoch 3: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.56it/s][AEpoch 3: 87%|████████▋ | 174/201 [02:31<00:23, 1.15it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.56it/s][AEpoch 3: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:07, 3.57it/s][AEpoch 3: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.57it/s][AEpoch 3: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.58it/s][AEpoch 3: 89%|████████▊ | 178/201 [02:32<00:19, 1.17it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.59it/s][AEpoch 3: 89%|████████▉ | 179/201 [02:32<00:18, 1.17it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.60it/s][AEpoch 3: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.60it/s][AEpoch 3: 90%|█████████ | 181/201 [02:32<00:16, 1.18it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.61it/s][AEpoch 3: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.61it/s][AEpoch 3: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.62it/s][AEpoch 3: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.62it/s][AEpoch 3: 92%|█████████▏| 185/201 [02:34<00:13, 1.20it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.62it/s][AEpoch 3: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.63it/s][AEpoch 3: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.63it/s][AEpoch 3: 94%|█████████▎| 188/201 [02:34<00:10, 1.21it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.63it/s][AEpoch 3: 94%|█████████▍| 189/201 [02:35<00:09, 1.22it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.63it/s][AEpoch 3: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.63it/s][AEpoch 3: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.63it/s][AEpoch 3: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.63it/s][AEpoch 3: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.64it/s][AEpoch 3: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.64it/s][AEpoch 3: 97%|█████████▋| 195/201 [02:36<00:04, 1.24it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.64it/s][AEpoch 3: 98%|█████████▊| 196/201 [02:37<00:04, 1.25it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.64it/s][AEpoch 3: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.64it/s][AEpoch 3: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.64it/s][AEpoch 3: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.64it/s][AEpoch 3: 100%|█████████▉| 200/201 [02:38<00:00, 1.26it/s, loss=0.365, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.67it/s][AEpoch 3: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.365, v_num=k7oa]Epoch 3: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.365, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
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[02:15<00:42, 1.13it/s, loss=0.334, v_num=k7oa]Epoch 4: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.334, v_num=k7oa]Epoch 4: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.317, v_num=k7oa]Epoch 4: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.317, v_num=k7oa]Epoch 4: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 4: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 4: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 4: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 4: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.309, v_num=k7oa]Epoch 4: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.309, v_num=k7oa]Epoch 4: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.32, v_num=k7oa] Epoch 4: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.32, v_num=k7oa]Epoch 4: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.318, v_num=k7oa]Epoch 4: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.318, v_num=k7oa]Epoch 4: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.327, v_num=k7oa]Epoch 4: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.327, v_num=k7oa]Epoch 4: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.323, v_num=k7oa]Epoch 4: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.323, v_num=k7oa]Epoch 4: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.318, v_num=k7oa]Epoch 4: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.318, v_num=k7oa]Epoch 4: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 4: 82%|████████▏ | 164/201 [02:25<00:32, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 4: 82%|████████▏ | 164/201 [02:25<00:32, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 4: 82%|████████▏ | 165/201 [02:26<00:31, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 4: 82%|████████▏ | 165/201 [02:26<00:31, 1.13it/s, loss=0.296, v_num=k7oa]Epoch 4: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.296, v_num=k7oa]Epoch 4: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.31, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 0%| | 0/35 [00:00<?, ?it/s][A
Validation DataLoader 0: 3%|▎ | 1/35 [00:00<00:11, 3.03it/s][AEpoch 4: 83%|████████▎ | 167/201 [02:29<00:30, 1.12it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.32it/s][AEpoch 4: 84%|████████▎ | 168/201 [02:29<00:29, 1.12it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.40it/s][AEpoch 4: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.47it/s][AEpoch 4: 85%|████████▍ | 170/201 [02:29<00:27, 1.13it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.51it/s][AEpoch 4: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.50it/s][AEpoch 4: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.53it/s][AEpoch 4: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.54it/s][AEpoch 4: 87%|████████▋ | 174/201 [02:31<00:23, 1.15it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.55it/s][AEpoch 4: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:07, 3.56it/s][AEpoch 4: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.57it/s][AEpoch 4: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.57it/s][AEpoch 4: 89%|████████▊ | 178/201 [02:32<00:19, 1.17it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.58it/s][AEpoch 4: 89%|████████▉ | 179/201 [02:32<00:18, 1.17it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.59it/s][AEpoch 4: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.60it/s][AEpoch 4: 90%|█████████ | 181/201 [02:32<00:16, 1.18it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.60it/s][AEpoch 4: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.61it/s][AEpoch 4: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.61it/s][AEpoch 4: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.62it/s][AEpoch 4: 92%|█████████▏| 185/201 [02:34<00:13, 1.20it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.62it/s][AEpoch 4: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.62it/s][AEpoch 4: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.62it/s][AEpoch 4: 94%|█████████▎| 188/201 [02:34<00:10, 1.21it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.63it/s][AEpoch 4: 94%|█████████▍| 189/201 [02:35<00:09, 1.22it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.63it/s][AEpoch 4: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.63it/s][AEpoch 4: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.63it/s][AEpoch 4: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.63it/s][AEpoch 4: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.63it/s][AEpoch 4: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.63it/s][AEpoch 4: 97%|█████████▋| 195/201 [02:36<00:04, 1.24it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.64it/s][AEpoch 4: 98%|█████████▊| 196/201 [02:37<00:04, 1.25it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.64it/s][AEpoch 4: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.64it/s][AEpoch 4: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.64it/s][AEpoch 4: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.64it/s][AEpoch 4: 100%|█████████▉| 200/201 [02:38<00:00, 1.26it/s, loss=0.31, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.66it/s][AEpoch 4: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.31, v_num=k7oa]Epoch 4: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.31, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 4: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.31, v_num=k7oa]Epoch 4: 0%| | 0/201 [00:00<?, ?it/s, loss=0.31, v_num=k7oa] Epoch 5: 0%| | 0/201 [00:00<?, ?it/s, loss=0.31, v_num=k7oa]Epoch 5: 0%| | 1/201 [00:03<10:36, 3.18s/it, loss=0.31, v_num=k7oa]Epoch 5: 0%| | 1/201 [00:03<10:36, 3.18s/it, loss=0.312, v_num=k7oa]Epoch 5: 1%| | 2/201 [00:04<06:43, 2.03s/it, loss=0.312, v_num=k7oa]Epoch 5: 1%| | 2/201 [00:04<06:43, 2.03s/it, loss=0.325, v_num=k7oa]Epoch 5: 1%|▏ | 3/201 [00:04<05:25, 1.64s/it, loss=0.325, v_num=k7oa]Epoch 5: 1%|▏ | 3/201 [00:04<05:25, 1.64s/it, loss=0.327, v_num=k7oa]Epoch 5: 2%|▏ | 4/201 [00:05<04:45, 1.45s/it, loss=0.327, v_num=k7oa]Epoch 5: 2%|▏ | 4/201 [00:05<04:45, 1.45s/it, loss=0.328, v_num=k7oa]Epoch 5: 2%|▏ | 5/201 [00:06<04:21, 1.33s/it, loss=0.328, v_num=k7oa]Epoch 5: 2%|▏ | 5/201 [00:06<04:21, 1.33s/it, loss=0.332, v_num=k7oa]Epoch 5: 3%|▎ | 6/201 [00:07<04:04, 1.26s/it, loss=0.332, v_num=k7oa]Epoch 5: 3%|▎ | 6/201 [00:07<04:04, 1.26s/it, loss=0.338, v_num=k7oa]Epoch 5: 3%|▎ | 7/201 [00:08<03:52, 1.20s/it, loss=0.338, v_num=k7oa]Epoch 5: 3%|▎ | 7/201 [00:08<03:53, 1.20s/it, loss=0.359, v_num=k7oa]Epoch 5: 4%|▍ | 8/201 [00:09<03:43, 1.16s/it, loss=0.359, v_num=k7oa]Epoch 5: 4%|▍ | 8/201 [00:09<03:43, 1.16s/it, loss=0.367, v_num=k7oa]Epoch 5: 4%|▍ | 9/201 [00:10<03:37, 1.13s/it, loss=0.367, v_num=k7oa]Epoch 5: 4%|▍ | 9/201 [00:10<03:37, 1.13s/it, loss=0.36, v_num=k7oa] Epoch 5: 5%|▍ | 10/201 [00:11<03:30, 1.10s/it, loss=0.36, v_num=k7oa]Epoch 5: 5%|▍ | 10/201 [00:11<03:30, 1.10s/it, loss=0.363, v_num=k7oa]Epoch 5: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.363, v_num=k7oa]Epoch 5: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.373, v_num=k7oa]Epoch 5: 6%|▌ | 12/201 [00:12<03:21, 1.06s/it, loss=0.373, v_num=k7oa]Epoch 5: 6%|▌ | 12/201 [00:12<03:21, 1.06s/it, loss=0.358, v_num=k7oa]Epoch 5: 6%|▋ | 13/201 [00:13<03:17, 1.05s/it, loss=0.358, v_num=k7oa]Epoch 5: 6%|▋ | 13/201 [00:13<03:17, 1.05s/it, loss=0.372, v_num=k7oa]Epoch 5: 7%|▋ | 14/201 [00:14<03:13, 1.04s/it, loss=0.372, v_num=k7oa]Epoch 5: 7%|▋ | 14/201 [00:14<03:13, 1.04s/it, loss=0.366, v_num=k7oa]Epoch 5: 7%|▋ | 15/201 [00:15<03:10, 1.02s/it, loss=0.366, v_num=k7oa]Epoch 5: 7%|▋ | 15/201 [00:15<03:10, 1.02s/it, loss=0.364, v_num=k7oa]Epoch 5: 8%|▊ | 16/201 [00:16<03:07, 1.01s/it, loss=0.364, v_num=k7oa]Epoch 5: 8%|▊ | 16/201 [00:16<03:07, 1.01s/it, loss=0.361, v_num=k7oa]Epoch 5: 8%|▊ | 17/201 [00:17<03:04, 1.00s/it, loss=0.361, v_num=k7oa]Epoch 5: 8%|▊ | 17/201 [00:17<03:04, 1.00s/it, loss=0.353, v_num=k7oa]Epoch 5: 9%|▉ | 18/201 [00:17<03:02, 1.00it/s, loss=0.353, v_num=k7oa]Epoch 5: 9%|▉ | 18/201 [00:17<03:02, 1.00it/s, loss=0.347, v_num=k7oa]Epoch 5: 9%|▉ | 19/201 [00:18<03:00, 1.01it/s, loss=0.347, v_num=k7oa]Epoch 5: 9%|▉ | 19/201 [00:18<03:00, 1.01it/s, loss=0.355, v_num=k7oa]Epoch 5: 10%|▉ | 20/201 [00:19<02:58, 1.02it/s, loss=0.355, v_num=k7oa]Epoch 5: 10%|▉ | 20/201 [00:19<02:58, 1.02it/s, loss=0.349, v_num=k7oa]Epoch 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[01:59<00:59, 1.13it/s, loss=0.292, v_num=k7oa]Epoch 5: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.292, v_num=k7oa]Epoch 5: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.296, v_num=k7oa]Epoch 5: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.296, v_num=k7oa]Epoch 5: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.288, v_num=k7oa]Epoch 5: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.288, v_num=k7oa]Epoch 5: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.282, v_num=k7oa]Epoch 5: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.282, v_num=k7oa]Epoch 5: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.292, v_num=k7oa]Epoch 5: 69%|██████▉ | 139/201 [02:03<00:55, 1.13it/s, loss=0.292, v_num=k7oa]Epoch 5: 69%|██████▉ | 139/201 [02:03<00:55, 1.13it/s, loss=0.289, v_num=k7oa]Epoch 5: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.289, v_num=k7oa]Epoch 5: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.293, v_num=k7oa]Epoch 5: 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[02:15<00:42, 1.13it/s, loss=0.299, v_num=k7oa]Epoch 5: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.299, v_num=k7oa]Epoch 5: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.295, v_num=k7oa]Epoch 5: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.295, v_num=k7oa]Epoch 5: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.298, v_num=k7oa]Epoch 5: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.298, v_num=k7oa]Epoch 5: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.314, v_num=k7oa]Epoch 5: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.314, v_num=k7oa]Epoch 5: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.316, v_num=k7oa]Epoch 5: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.316, v_num=k7oa]Epoch 5: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.326, v_num=k7oa]Epoch 5: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.326, v_num=k7oa]Epoch 5: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 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Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.46it/s][AEpoch 5: 84%|████████▎ | 168/201 [02:29<00:29, 1.12it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.53it/s][AEpoch 5: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.35, v_num=k7oa]
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Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.56it/s][AEpoch 5: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.58it/s][AEpoch 5: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.59it/s][AEpoch 5: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.35, v_num=k7oa]
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Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:06, 3.58it/s][AEpoch 5: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.59it/s][AEpoch 5: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.59it/s][AEpoch 5: 89%|████████▊ | 178/201 [02:32<00:19, 1.17it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.60it/s][AEpoch 5: 89%|████████▉ | 179/201 [02:32<00:18, 1.17it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.61it/s][AEpoch 5: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.61it/s][AEpoch 5: 90%|█████████ | 181/201 [02:32<00:16, 1.18it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.62it/s][AEpoch 5: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.62it/s][AEpoch 5: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.63it/s][AEpoch 5: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.63it/s][AEpoch 5: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.63it/s][AEpoch 5: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.63it/s][AEpoch 5: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.63it/s][AEpoch 5: 94%|█████████▎| 188/201 [02:34<00:10, 1.21it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.63it/s][AEpoch 5: 94%|█████████▍| 189/201 [02:35<00:09, 1.22it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.63it/s][AEpoch 5: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.63it/s][AEpoch 5: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.64it/s][AEpoch 5: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.64it/s][AEpoch 5: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.64it/s][AEpoch 5: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.64it/s][AEpoch 5: 97%|█████████▋| 195/201 [02:36<00:04, 1.24it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.64it/s][AEpoch 5: 98%|█████████▊| 196/201 [02:37<00:04, 1.25it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.64it/s][AEpoch 5: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.64it/s][AEpoch 5: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.64it/s][AEpoch 5: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.64it/s][AEpoch 5: 100%|█████████▉| 200/201 [02:38<00:00, 1.26it/s, loss=0.35, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.67it/s][AEpoch 5: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.35, v_num=k7oa]Epoch 5: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.35, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 5: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.35, v_num=k7oa]Epoch 5: 0%| | 0/201 [00:00<?, ?it/s, loss=0.35, v_num=k7oa] Epoch 6: 0%| | 0/201 [00:00<?, ?it/s, loss=0.35, v_num=k7oa]Epoch 6: 0%| | 1/201 [00:03<11:03, 3.32s/it, loss=0.35, v_num=k7oa]Epoch 6: 0%| | 1/201 [00:03<11:03, 3.32s/it, loss=0.348, v_num=k7oa]Epoch 6: 1%| | 2/201 [00:04<06:56, 2.09s/it, loss=0.348, v_num=k7oa]Epoch 6: 1%| | 2/201 [00:04<06:56, 2.09s/it, loss=0.343, v_num=k7oa]Epoch 6: 1%|▏ | 3/201 [00:05<05:33, 1.69s/it, loss=0.343, v_num=k7oa]Epoch 6: 1%|▏ | 3/201 [00:05<05:33, 1.69s/it, loss=0.333, v_num=k7oa]Epoch 6: 2%|▏ | 4/201 [00:05<04:51, 1.48s/it, loss=0.333, v_num=k7oa]Epoch 6: 2%|▏ | 4/201 [00:05<04:51, 1.48s/it, loss=0.337, v_num=k7oa]Epoch 6: 2%|▏ | 5/201 [00:06<04:26, 1.36s/it, loss=0.337, v_num=k7oa]Epoch 6: 2%|▏ | 5/201 [00:06<04:26, 1.36s/it, loss=0.337, v_num=k7oa]Epoch 6: 3%|▎ | 6/201 [00:07<04:09, 1.28s/it, loss=0.337, v_num=k7oa]Epoch 6: 3%|▎ | 6/201 [00:07<04:09, 1.28s/it, loss=0.33, v_num=k7oa] Epoch 6: 3%|▎ | 7/201 [00:08<03:57, 1.22s/it, loss=0.33, v_num=k7oa]Epoch 6: 3%|▎ | 7/201 [00:08<03:57, 1.22s/it, loss=0.323, v_num=k7oa]Epoch 6: 4%|▍ | 8/201 [00:09<03:47, 1.18s/it, loss=0.323, v_num=k7oa]Epoch 6: 4%|▍ | 8/201 [00:09<03:47, 1.18s/it, loss=0.313, v_num=k7oa]Epoch 6: 4%|▍ | 9/201 [00:10<03:39, 1.14s/it, loss=0.313, v_num=k7oa]Epoch 6: 4%|▍ | 9/201 [00:10<03:39, 1.14s/it, loss=0.311, v_num=k7oa]Epoch 6: 5%|▍ | 10/201 [00:11<03:33, 1.12s/it, loss=0.311, v_num=k7oa]Epoch 6: 5%|▍ | 10/201 [00:11<03:33, 1.12s/it, loss=0.304, v_num=k7oa]Epoch 6: 5%|▌ | 11/201 [00:12<03:27, 1.09s/it, loss=0.304, v_num=k7oa]Epoch 6: 5%|▌ | 11/201 [00:12<03:27, 1.09s/it, loss=0.314, v_num=k7oa]Epoch 6: 6%|▌ | 12/201 [00:12<03:23, 1.08s/it, loss=0.314, v_num=k7oa]Epoch 6: 6%|▌ | 12/201 [00:12<03:23, 1.08s/it, loss=0.304, v_num=k7oa]Epoch 6: 6%|▋ | 13/201 [00:13<03:19, 1.06s/it, loss=0.304, v_num=k7oa]Epoch 6: 6%|▋ | 13/201 [00:13<03:19, 1.06s/it, loss=0.295, v_num=k7oa]Epoch 6: 7%|▋ | 14/201 [00:14<03:15, 1.05s/it, loss=0.295, v_num=k7oa]Epoch 6: 7%|▋ | 14/201 [00:14<03:15, 1.05s/it, loss=0.308, v_num=k7oa]Epoch 6: 7%|▋ | 15/201 [00:15<03:12, 1.03s/it, loss=0.308, v_num=k7oa]Epoch 6: 7%|▋ | 15/201 [00:15<03:12, 1.03s/it, loss=0.304, v_num=k7oa]Epoch 6: 8%|▊ | 16/201 [00:16<03:09, 1.02s/it, loss=0.304, v_num=k7oa]Epoch 6: 8%|▊ | 16/201 [00:16<03:09, 1.02s/it, loss=0.285, v_num=k7oa]Epoch 6: 8%|▊ | 17/201 [00:17<03:06, 1.01s/it, loss=0.285, v_num=k7oa]Epoch 6: 8%|▊ | 17/201 [00:17<03:06, 1.01s/it, loss=0.29, v_num=k7oa] Epoch 6: 9%|▉ | 18/201 [00:18<03:03, 1.01s/it, loss=0.29, v_num=k7oa]Epoch 6: 9%|▉ | 18/201 [00:18<03:04, 1.01s/it, loss=0.291, v_num=k7oa]Epoch 6: 9%|▉ | 19/201 [00:18<03:01, 1.00it/s, loss=0.291, v_num=k7oa]Epoch 6: 9%|▉ | 19/201 [00:18<03:01, 1.00it/s, loss=0.296, v_num=k7oa]Epoch 6: 10%|▉ | 20/201 [00:19<02:59, 1.01it/s, loss=0.296, v_num=k7oa]Epoch 6: 10%|▉ | 20/201 [00:19<02:59, 1.01it/s, loss=0.302, v_num=k7oa]Epoch 6: 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loss=0.328, v_num=k7oa]Epoch 6: 21%|██ | 42/201 [00:38<02:27, 1.08it/s, loss=0.328, v_num=k7oa]Epoch 6: 21%|██ | 42/201 [00:38<02:27, 1.08it/s, loss=0.331, v_num=k7oa]Epoch 6: 21%|██▏ | 43/201 [00:39<02:25, 1.08it/s, loss=0.331, v_num=k7oa]Epoch 6: 21%|██▏ | 43/201 [00:39<02:25, 1.08it/s, loss=0.331, v_num=k7oa]Epoch 6: 22%|██▏ | 44/201 [00:40<02:24, 1.08it/s, loss=0.331, v_num=k7oa]Epoch 6: 22%|██▏ | 44/201 [00:40<02:24, 1.08it/s, loss=0.336, v_num=k7oa]Epoch 6: 22%|██▏ | 45/201 [00:41<02:23, 1.09it/s, loss=0.336, v_num=k7oa]Epoch 6: 22%|██▏ | 45/201 [00:41<02:23, 1.09it/s, loss=0.341, v_num=k7oa]Epoch 6: 23%|██▎ | 46/201 [00:42<02:22, 1.09it/s, loss=0.341, v_num=k7oa]Epoch 6: 23%|██▎ | 46/201 [00:42<02:22, 1.09it/s, loss=0.338, v_num=k7oa]Epoch 6: 23%|██▎ | 47/201 [00:43<02:21, 1.09it/s, loss=0.338, v_num=k7oa]Epoch 6: 23%|██▎ | 47/201 [00:43<02:21, 1.09it/s, loss=0.328, v_num=k7oa]Epoch 6: 24%|██▍ | 48/201 [00:44<02:20, 1.09it/s, loss=0.328, v_num=k7oa]Epoch 6: 24%|██▍ | 48/201 [00:44<02:20, 1.09it/s, loss=0.311, v_num=k7oa]Epoch 6: 24%|██▍ | 49/201 [00:44<02:19, 1.09it/s, loss=0.311, v_num=k7oa]Epoch 6: 24%|██▍ | 49/201 [00:44<02:19, 1.09it/s, loss=0.313, v_num=k7oa]Epoch 6: 25%|██▍ | 50/201 [00:45<02:18, 1.09it/s, loss=0.313, v_num=k7oa]Epoch 6: 25%|██▍ | 50/201 [00:45<02:18, 1.09it/s, loss=0.305, v_num=k7oa]Epoch 6: 25%|██▌ | 51/201 [00:46<02:17, 1.09it/s, loss=0.305, v_num=k7oa]Epoch 6: 25%|██▌ | 51/201 [00:46<02:17, 1.09it/s, loss=0.291, v_num=k7oa]Epoch 6: 26%|██▌ | 52/201 [00:47<02:16, 1.09it/s, loss=0.291, v_num=k7oa]Epoch 6: 26%|██▌ | 52/201 [00:47<02:16, 1.09it/s, loss=0.304, v_num=k7oa]Epoch 6: 26%|██▋ | 53/201 [00:48<02:15, 1.09it/s, loss=0.304, v_num=k7oa]Epoch 6: 26%|██▋ | 53/201 [00:48<02:15, 1.09it/s, loss=0.298, v_num=k7oa]Epoch 6: 27%|██▋ | 54/201 [00:49<02:14, 1.10it/s, loss=0.298, v_num=k7oa]Epoch 6: 27%|██▋ | 54/201 [00:49<02:14, 1.10it/s, loss=0.3, v_num=k7oa] Epoch 6: 27%|██▋ | 55/201 [00:50<02:13, 1.10it/s, loss=0.3, v_num=k7oa]Epoch 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[01:58<00:59, 1.13it/s, loss=0.333, v_num=k7oa]Epoch 6: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.333, v_num=k7oa]Epoch 6: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.334, v_num=k7oa]Epoch 6: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.334, v_num=k7oa]Epoch 6: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.325, v_num=k7oa]Epoch 6: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.325, v_num=k7oa]Epoch 6: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.32, v_num=k7oa] Epoch 6: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.32, v_num=k7oa]Epoch 6: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.31, v_num=k7oa]Epoch 6: 69%|██████▉ | 139/201 [02:03<00:54, 1.13it/s, loss=0.31, v_num=k7oa]Epoch 6: 69%|██████▉ | 139/201 [02:03<00:54, 1.13it/s, loss=0.311, v_num=k7oa]Epoch 6: 70%|██████▉ | 140/201 [02:03<00:54, 1.13it/s, loss=0.311, v_num=k7oa]Epoch 6: 70%|██████▉ | 140/201 [02:03<00:54, 1.13it/s, loss=0.304, v_num=k7oa]Epoch 6: 70%|███████ | 141/201 [02:04<00:53, 1.13it/s, loss=0.304, v_num=k7oa]Epoch 6: 70%|███████ | 141/201 [02:04<00:53, 1.13it/s, loss=0.305, v_num=k7oa]Epoch 6: 71%|███████ | 142/201 [02:05<00:52, 1.13it/s, loss=0.305, v_num=k7oa]Epoch 6: 71%|███████ | 142/201 [02:05<00:52, 1.13it/s, loss=0.298, v_num=k7oa]Epoch 6: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.298, v_num=k7oa]Epoch 6: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.335, v_num=k7oa]Epoch 6: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.335, v_num=k7oa]Epoch 6: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.337, v_num=k7oa]Epoch 6: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.337, v_num=k7oa]Epoch 6: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.319, v_num=k7oa]Epoch 6: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.319, v_num=k7oa]Epoch 6: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 6: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 6: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.33, v_num=k7oa] Epoch 6: 74%|███████▎ | 148/201 [02:10<00:46, 1.13it/s, loss=0.33, v_num=k7oa]Epoch 6: 74%|███████▎ | 148/201 [02:10<00:46, 1.13it/s, loss=0.329, v_num=k7oa]Epoch 6: 74%|███████▍ | 149/201 [02:11<00:46, 1.13it/s, loss=0.329, v_num=k7oa]Epoch 6: 74%|███████▍ | 149/201 [02:11<00:46, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 6: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 6: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.335, v_num=k7oa]Epoch 6: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.335, v_num=k7oa]Epoch 6: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.339, v_num=k7oa]Epoch 6: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.339, v_num=k7oa]Epoch 6: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.334, v_num=k7oa]Epoch 6: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.334, v_num=k7oa]Epoch 6: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.336, v_num=k7oa]Epoch 6: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.336, v_num=k7oa]Epoch 6: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.343, v_num=k7oa]Epoch 6: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.343, v_num=k7oa]Epoch 6: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.338, v_num=k7oa]Epoch 6: 78%|███████▊ | 156/201 [02:17<00:39, 1.13it/s, loss=0.338, v_num=k7oa]Epoch 6: 78%|███████▊ | 156/201 [02:17<00:39, 1.13it/s, loss=0.344, v_num=k7oa]Epoch 6: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.344, v_num=k7oa]Epoch 6: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.344, v_num=k7oa]Epoch 6: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.344, v_num=k7oa]Epoch 6: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.349, v_num=k7oa]Epoch 6: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.349, v_num=k7oa]Epoch 6: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.356, v_num=k7oa]Epoch 6: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.356, v_num=k7oa]Epoch 6: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.352, v_num=k7oa]Epoch 6: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.352, v_num=k7oa]Epoch 6: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.349, v_num=k7oa]Epoch 6: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.349, v_num=k7oa]Epoch 6: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.353, v_num=k7oa]Epoch 6: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.353, v_num=k7oa]Epoch 6: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.318, v_num=k7oa]Epoch 6: 82%|████████▏ | 164/201 [02:24<00:32, 1.13it/s, loss=0.318, v_num=k7oa]Epoch 6: 82%|████████▏ | 164/201 [02:24<00:32, 1.13it/s, loss=0.32, v_num=k7oa] Epoch 6: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.32, v_num=k7oa]Epoch 6: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 6: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.331, v_num=k7oa]Epoch 6: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.335, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
Validation: 0%| | 0/35 [00:00<?, ?it/s][A
Validation DataLoader 0: 0%| | 0/35 [00:00<?, ?it/s][A
Validation DataLoader 0: 3%|▎ | 1/35 [00:00<00:10, 3.30it/s][AEpoch 6: 83%|████████▎ | 167/201 [02:28<00:30, 1.12it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.45it/s][AEpoch 6: 84%|████████▎ | 168/201 [02:29<00:29, 1.13it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.53it/s][AEpoch 6: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.49it/s][AEpoch 6: 85%|████████▍ | 170/201 [02:29<00:27, 1.14it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.53it/s][AEpoch 6: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.55it/s][AEpoch 6: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.57it/s][AEpoch 6: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.58it/s][AEpoch 6: 87%|████████▋ | 174/201 [02:30<00:23, 1.15it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.58it/s][AEpoch 6: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:06, 3.59it/s][AEpoch 6: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.58it/s][AEpoch 6: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.58it/s][AEpoch 6: 89%|████████▊ | 178/201 [02:31<00:19, 1.17it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.59it/s][AEpoch 6: 89%|████████▉ | 179/201 [02:32<00:18, 1.18it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.60it/s][AEpoch 6: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.60it/s][AEpoch 6: 90%|█████████ | 181/201 [02:32<00:16, 1.18it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.61it/s][AEpoch 6: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.61it/s][AEpoch 6: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.62it/s][AEpoch 6: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.62it/s][AEpoch 6: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.62it/s][AEpoch 6: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.63it/s][AEpoch 6: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.63it/s][AEpoch 6: 94%|█████████▎| 188/201 [02:34<00:10, 1.22it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.63it/s][AEpoch 6: 94%|█████████▍| 189/201 [02:34<00:09, 1.22it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.63it/s][AEpoch 6: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.64it/s][AEpoch 6: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.64it/s][AEpoch 6: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.64it/s][AEpoch 6: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.64it/s][AEpoch 6: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.64it/s][AEpoch 6: 97%|█████████▋| 195/201 [02:36<00:04, 1.25it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.64it/s][AEpoch 6: 98%|█████████▊| 196/201 [02:36<00:04, 1.25it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.64it/s][AEpoch 6: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.64it/s][AEpoch 6: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.64it/s][AEpoch 6: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.64it/s][AEpoch 6: 100%|█████████▉| 200/201 [02:37<00:00, 1.27it/s, loss=0.335, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.67it/s][AEpoch 6: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.335, v_num=k7oa]Epoch 6: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.335, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
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1.25s/it, loss=0.332, v_num=k7oa]Epoch 7: 3%|▎ | 7/201 [00:08<03:52, 1.20s/it, loss=0.332, v_num=k7oa]Epoch 7: 3%|▎ | 7/201 [00:08<03:52, 1.20s/it, loss=0.334, v_num=k7oa]Epoch 7: 4%|▍ | 8/201 [00:09<03:42, 1.15s/it, loss=0.334, v_num=k7oa]Epoch 7: 4%|▍ | 8/201 [00:09<03:42, 1.15s/it, loss=0.327, v_num=k7oa]Epoch 7: 4%|▍ | 9/201 [00:10<03:35, 1.12s/it, loss=0.327, v_num=k7oa]Epoch 7: 4%|▍ | 9/201 [00:10<03:35, 1.12s/it, loss=0.326, v_num=k7oa]Epoch 7: 5%|▍ | 10/201 [00:10<03:29, 1.10s/it, loss=0.326, v_num=k7oa]Epoch 7: 5%|▍ | 10/201 [00:10<03:29, 1.10s/it, loss=0.326, v_num=k7oa]Epoch 7: 5%|▌ | 11/201 [00:11<03:24, 1.07s/it, loss=0.326, v_num=k7oa]Epoch 7: 5%|▌ | 11/201 [00:11<03:24, 1.07s/it, loss=0.33, v_num=k7oa] Epoch 7: 6%|▌ | 12/201 [00:12<03:19, 1.06s/it, loss=0.33, v_num=k7oa]Epoch 7: 6%|▌ | 12/201 [00:12<03:19, 1.06s/it, loss=0.338, v_num=k7oa]Epoch 7: 6%|▋ | 13/201 [00:13<03:15, 1.04s/it, loss=0.338, v_num=k7oa]Epoch 7: 6%|▋ | 13/201 [00:13<03:15, 1.04s/it, loss=0.334, 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[02:15<00:42, 1.13it/s, loss=0.318, v_num=k7oa]Epoch 7: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.318, v_num=k7oa]Epoch 7: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.309, v_num=k7oa]Epoch 7: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.309, v_num=k7oa]Epoch 7: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.308, v_num=k7oa]Epoch 7: 78%|███████▊ | 156/201 [02:17<00:39, 1.13it/s, loss=0.308, v_num=k7oa]Epoch 7: 78%|███████▊ | 156/201 [02:17<00:39, 1.13it/s, loss=0.306, v_num=k7oa]Epoch 7: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.306, v_num=k7oa]Epoch 7: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.31, v_num=k7oa] Epoch 7: 79%|███████▊ | 158/201 [02:19<00:37, 1.13it/s, loss=0.31, v_num=k7oa]Epoch 7: 79%|███████▊ | 158/201 [02:19<00:37, 1.13it/s, loss=0.305, v_num=k7oa]Epoch 7: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.305, v_num=k7oa]Epoch 7: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.3, v_num=k7oa] Epoch 7: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.3, v_num=k7oa]Epoch 7: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.298, v_num=k7oa]Epoch 7: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.298, v_num=k7oa]Epoch 7: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.292, v_num=k7oa]Epoch 7: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.292, v_num=k7oa]Epoch 7: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.286, v_num=k7oa]Epoch 7: 81%|████████ | 163/201 [02:23<00:33, 1.13it/s, loss=0.286, v_num=k7oa]Epoch 7: 81%|████████ | 163/201 [02:23<00:33, 1.13it/s, loss=0.288, v_num=k7oa]Epoch 7: 82%|████████▏ | 164/201 [02:24<00:32, 1.13it/s, loss=0.288, v_num=k7oa]Epoch 7: 82%|████████▏ | 164/201 [02:24<00:32, 1.13it/s, loss=0.294, v_num=k7oa]Epoch 7: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.294, v_num=k7oa]Epoch 7: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.295, v_num=k7oa]Epoch 7: 83%|████████▎ | 166/201 [02:26<00:30, 1.14it/s, loss=0.295, v_num=k7oa]Epoch 7: 83%|████████▎ | 166/201 [02:26<00:30, 1.14it/s, loss=0.279, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 3%|▎ | 1/35 [00:00<00:11, 2.98it/s][AEpoch 7: 83%|████████▎ | 167/201 [02:28<00:30, 1.12it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:10, 3.28it/s][AEpoch 7: 84%|████████▎ | 168/201 [02:29<00:29, 1.13it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.39it/s][AEpoch 7: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:09, 3.44it/s][AEpoch 7: 85%|████████▍ | 170/201 [02:29<00:27, 1.14it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.46it/s][AEpoch 7: 85%|████████▌ | 171/201 [02:29<00:26, 1.14it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.48it/s][AEpoch 7: 86%|████████▌ | 172/201 [02:30<00:25, 1.15it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.50it/s][AEpoch 7: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.51it/s][AEpoch 7: 87%|████████▋ | 174/201 [02:30<00:23, 1.15it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.52it/s][AEpoch 7: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:07, 3.52it/s][AEpoch 7: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.53it/s][AEpoch 7: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.53it/s][AEpoch 7: 89%|████████▊ | 178/201 [02:31<00:19, 1.17it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.54it/s][AEpoch 7: 89%|████████▉ | 179/201 [02:32<00:18, 1.18it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.55it/s][AEpoch 7: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.56it/s][AEpoch 7: 90%|█████████ | 181/201 [02:32<00:16, 1.19it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.57it/s][AEpoch 7: 91%|█████████ | 182/201 [02:32<00:15, 1.19it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:05, 3.57it/s][AEpoch 7: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:05<00:04, 3.58it/s][AEpoch 7: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.59it/s][AEpoch 7: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.59it/s][AEpoch 7: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.60it/s][AEpoch 7: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.60it/s][AEpoch 7: 94%|█████████▎| 188/201 [02:34<00:10, 1.22it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.60it/s][AEpoch 7: 94%|█████████▍| 189/201 [02:34<00:09, 1.22it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.61it/s][AEpoch 7: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.61it/s][AEpoch 7: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.61it/s][AEpoch 7: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.61it/s][AEpoch 7: 96%|█████████▌| 193/201 [02:35<00:06, 1.24it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.61it/s][AEpoch 7: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:08<00:01, 3.61it/s][AEpoch 7: 97%|█████████▋| 195/201 [02:36<00:04, 1.25it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.61it/s][AEpoch 7: 98%|█████████▊| 196/201 [02:36<00:03, 1.25it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.62it/s][AEpoch 7: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.62it/s][AEpoch 7: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.62it/s][AEpoch 7: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.62it/s][AEpoch 7: 100%|█████████▉| 200/201 [02:37<00:00, 1.27it/s, loss=0.279, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.65it/s][AEpoch 7: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.279, v_num=k7oa]Epoch 7: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.279, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 7: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.279, v_num=k7oa]Epoch 7: 0%| | 0/201 [00:00<?, ?it/s, loss=0.279, v_num=k7oa] Epoch 8: 0%| | 0/201 [00:00<?, ?it/s, loss=0.279, v_num=k7oa]Epoch 8: 0%| | 1/201 [00:03<10:48, 3.24s/it, loss=0.279, v_num=k7oa]Epoch 8: 0%| | 1/201 [00:03<10:48, 3.24s/it, loss=0.282, v_num=k7oa]Epoch 8: 1%| | 2/201 [00:04<06:49, 2.06s/it, loss=0.282, v_num=k7oa]Epoch 8: 1%| | 2/201 [00:04<06:49, 2.06s/it, loss=0.288, v_num=k7oa]Epoch 8: 1%|▏ | 3/201 [00:04<05:28, 1.66s/it, loss=0.288, v_num=k7oa]Epoch 8: 1%|▏ | 3/201 [00:04<05:28, 1.66s/it, loss=0.288, v_num=k7oa]Epoch 8: 2%|▏ | 4/201 [00:05<04:48, 1.46s/it, loss=0.288, v_num=k7oa]Epoch 8: 2%|▏ | 4/201 [00:05<04:48, 1.46s/it, loss=0.28, v_num=k7oa] Epoch 8: 2%|▏ | 5/201 [00:06<04:23, 1.35s/it, loss=0.28, v_num=k7oa]Epoch 8: 2%|▏ | 5/201 [00:06<04:23, 1.35s/it, loss=0.275, v_num=k7oa]Epoch 8: 3%|▎ | 6/201 [00:07<04:06, 1.27s/it, loss=0.275, v_num=k7oa]Epoch 8: 3%|▎ | 6/201 [00:07<04:06, 1.27s/it, loss=0.273, v_num=k7oa]Epoch 8: 3%|▎ | 7/201 [00:08<03:54, 1.21s/it, loss=0.273, v_num=k7oa]Epoch 8: 3%|▎ | 7/201 [00:08<03:54, 1.21s/it, loss=0.282, v_num=k7oa]Epoch 8: 4%|▍ | 8/201 [00:09<03:45, 1.17s/it, loss=0.282, v_num=k7oa]Epoch 8: 4%|▍ | 8/201 [00:09<03:45, 1.17s/it, loss=0.301, v_num=k7oa]Epoch 8: 4%|▍ | 9/201 [00:10<03:37, 1.13s/it, loss=0.301, v_num=k7oa]Epoch 8: 4%|▍ | 9/201 [00:10<03:37, 1.13s/it, loss=0.295, v_num=k7oa]Epoch 8: 5%|▍ | 10/201 [00:11<03:31, 1.11s/it, loss=0.295, v_num=k7oa]Epoch 8: 5%|▍ | 10/201 [00:11<03:31, 1.11s/it, loss=0.294, v_num=k7oa]Epoch 8: 5%|▌ | 11/201 [00:11<03:26, 1.09s/it, loss=0.294, v_num=k7oa]Epoch 8: 5%|▌ | 11/201 [00:11<03:26, 1.09s/it, loss=0.299, v_num=k7oa]Epoch 8: 6%|▌ | 12/201 [00:12<03:22, 1.07s/it, loss=0.299, v_num=k7oa]Epoch 8: 6%|▌ | 12/201 [00:12<03:22, 1.07s/it, loss=0.29, v_num=k7oa] Epoch 8: 6%|▋ | 13/201 [00:13<03:18, 1.05s/it, loss=0.29, v_num=k7oa]Epoch 8: 6%|▋ | 13/201 [00:13<03:18, 1.05s/it, loss=0.286, v_num=k7oa]Epoch 8: 7%|▋ | 14/201 [00:14<03:14, 1.04s/it, loss=0.286, v_num=k7oa]Epoch 8: 7%|▋ | 14/201 [00:14<03:14, 1.04s/it, loss=0.294, v_num=k7oa]Epoch 8: 7%|▋ | 15/201 [00:15<03:11, 1.03s/it, loss=0.294, v_num=k7oa]Epoch 8: 7%|▋ | 15/201 [00:15<03:11, 1.03s/it, loss=0.289, v_num=k7oa]Epoch 8: 8%|▊ | 16/201 [00:16<03:08, 1.02s/it, loss=0.289, v_num=k7oa]Epoch 8: 8%|▊ | 16/201 [00:16<03:08, 1.02s/it, loss=0.287, v_num=k7oa]Epoch 8: 8%|▊ | 17/201 [00:17<03:06, 1.01s/it, loss=0.287, v_num=k7oa]Epoch 8: 8%|▊ | 17/201 [00:17<03:06, 1.01s/it, loss=0.296, v_num=k7oa]Epoch 8: 9%|▉ | 18/201 [00:18<03:03, 1.00s/it, loss=0.296, v_num=k7oa]Epoch 8: 9%|▉ | 18/201 [00:18<03:03, 1.00s/it, loss=0.299, v_num=k7oa]Epoch 8: 9%|▉ | 19/201 [00:18<03:01, 1.00it/s, loss=0.299, v_num=k7oa]Epoch 8: 9%|▉ | 19/201 [00:18<03:01, 1.00it/s, loss=0.303, v_num=k7oa]Epoch 8: 10%|▉ | 20/201 [00:19<02:59, 1.01it/s, loss=0.303, v_num=k7oa]Epoch 8: 10%|▉ | 20/201 [00:19<02:59, 1.01it/s, loss=0.313, v_num=k7oa]Epoch 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[02:05<00:53, 1.13it/s, loss=0.289, v_num=k7oa]Epoch 8: 70%|███████ | 141/201 [02:05<00:53, 1.13it/s, loss=0.295, v_num=k7oa]Epoch 8: 71%|███████ | 142/201 [02:06<00:52, 1.13it/s, loss=0.295, v_num=k7oa]Epoch 8: 71%|███████ | 142/201 [02:06<00:52, 1.13it/s, loss=0.302, v_num=k7oa]Epoch 8: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.302, v_num=k7oa]Epoch 8: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.309, v_num=k7oa]Epoch 8: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.309, v_num=k7oa]Epoch 8: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 8: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 8: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 8: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 8: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.304, v_num=k7oa]Epoch 8: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.304, v_num=k7oa]Epoch 8: 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loss=0.323, v_num=k7oa]Epoch 8: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.323, v_num=k7oa]Epoch 8: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.324, v_num=k7oa]Epoch 8: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.324, v_num=k7oa]Epoch 8: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.329, v_num=k7oa]Epoch 8: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.329, v_num=k7oa]Epoch 8: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.322, v_num=k7oa]Epoch 8: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.322, v_num=k7oa]Epoch 8: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.322, v_num=k7oa]Epoch 8: 79%|███████▊ | 158/201 [02:20<00:38, 1.13it/s, loss=0.322, v_num=k7oa]Epoch 8: 79%|███████▊ | 158/201 [02:20<00:38, 1.13it/s, loss=0.32, v_num=k7oa] Epoch 8: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.32, v_num=k7oa]Epoch 8: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.311, v_num=k7oa]Epoch 8: 80%|███████▉ | 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v_num=k7oa]Epoch 8: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.306, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.40it/s][AEpoch 8: 84%|████████▎ | 168/201 [02:29<00:29, 1.12it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.48it/s][AEpoch 8: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.52it/s][AEpoch 8: 85%|████████▍ | 170/201 [02:30<00:27, 1.13it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.55it/s][AEpoch 8: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.54it/s][AEpoch 8: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.56it/s][AEpoch 8: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.57it/s][AEpoch 8: 87%|████████▋ | 174/201 [02:31<00:23, 1.15it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.58it/s][AEpoch 8: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:06, 3.57it/s][AEpoch 8: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.57it/s][AEpoch 8: 88%|████████▊ | 177/201 [02:32<00:20, 1.16it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.56it/s][AEpoch 8: 89%|████████▊ | 178/201 [02:32<00:19, 1.17it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.57it/s][AEpoch 8: 89%|████████▉ | 179/201 [02:32<00:18, 1.17it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.58it/s][AEpoch 8: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.59it/s][AEpoch 8: 90%|█████████ | 181/201 [02:33<00:16, 1.18it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.59it/s][AEpoch 8: 91%|█████████ | 182/201 [02:33<00:16, 1.19it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:05, 3.60it/s][AEpoch 8: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.60it/s][AEpoch 8: 92%|█████████▏| 184/201 [02:33<00:14, 1.19it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.61it/s][AEpoch 8: 92%|█████████▏| 185/201 [02:34<00:13, 1.20it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.61it/s][AEpoch 8: 93%|█████████▎| 186/201 [02:34<00:12, 1.20it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.62it/s][AEpoch 8: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.62it/s][AEpoch 8: 94%|█████████▎| 188/201 [02:35<00:10, 1.21it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.62it/s][AEpoch 8: 94%|█████████▍| 189/201 [02:35<00:09, 1.22it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.62it/s][AEpoch 8: 95%|█████████▍| 190/201 [02:35<00:09, 1.22it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.63it/s][AEpoch 8: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.63it/s][AEpoch 8: 96%|█████████▌| 192/201 [02:36<00:07, 1.23it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.63it/s][AEpoch 8: 96%|█████████▌| 193/201 [02:36<00:06, 1.23it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.63it/s][AEpoch 8: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.63it/s][AEpoch 8: 97%|█████████▋| 195/201 [02:36<00:04, 1.24it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.63it/s][AEpoch 8: 98%|█████████▊| 196/201 [02:37<00:04, 1.25it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.63it/s][AEpoch 8: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.63it/s][AEpoch 8: 99%|█████████▊| 198/201 [02:37<00:02, 1.25it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.63it/s][AEpoch 8: 99%|█████████▉| 199/201 [02:38<00:01, 1.26it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.64it/s][AEpoch 8: 100%|█████████▉| 200/201 [02:38<00:00, 1.26it/s, loss=0.306, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.66it/s][AEpoch 8: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.306, v_num=k7oa]Epoch 8: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.306, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 8: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.306, v_num=k7oa]Epoch 8: 0%| | 0/201 [00:00<?, ?it/s, loss=0.306, v_num=k7oa] Epoch 9: 0%| | 0/201 [00:00<?, ?it/s, loss=0.306, v_num=k7oa]Epoch 9: 0%| | 1/201 [00:03<10:21, 3.11s/it, loss=0.306, v_num=k7oa]Epoch 9: 0%| | 1/201 [00:03<10:21, 3.11s/it, loss=0.312, v_num=k7oa]Epoch 9: 1%| | 2/201 [00:03<06:35, 1.99s/it, loss=0.312, v_num=k7oa]Epoch 9: 1%| | 2/201 [00:03<06:35, 1.99s/it, loss=0.304, v_num=k7oa]Epoch 9: 1%|▏ | 3/201 [00:04<05:20, 1.62s/it, loss=0.304, v_num=k7oa]Epoch 9: 1%|▏ | 3/201 [00:04<05:20, 1.62s/it, loss=0.295, v_num=k7oa]Epoch 9: 2%|▏ | 4/201 [00:05<04:41, 1.43s/it, loss=0.295, v_num=k7oa]Epoch 9: 2%|▏ | 4/201 [00:05<04:41, 1.43s/it, loss=0.284, v_num=k7oa]Epoch 9: 2%|▏ | 5/201 [00:06<04:18, 1.32s/it, loss=0.284, v_num=k7oa]Epoch 9: 2%|▏ | 5/201 [00:06<04:18, 1.32s/it, loss=0.285, v_num=k7oa]Epoch 9: 3%|▎ | 6/201 [00:07<04:02, 1.24s/it, loss=0.285, v_num=k7oa]Epoch 9: 3%|▎ | 6/201 [00:07<04:02, 1.24s/it, loss=0.275, v_num=k7oa]Epoch 9: 3%|▎ | 7/201 [00:08<03:50, 1.19s/it, loss=0.275, v_num=k7oa]Epoch 9: 3%|▎ | 7/201 [00:08<03:51, 1.19s/it, loss=0.27, v_num=k7oa] Epoch 9: 4%|▍ | 8/201 [00:09<03:42, 1.15s/it, loss=0.27, v_num=k7oa]Epoch 9: 4%|▍ | 8/201 [00:09<03:42, 1.15s/it, loss=0.276, v_num=k7oa]Epoch 9: 4%|▍ | 9/201 [00:10<03:35, 1.12s/it, loss=0.276, v_num=k7oa]Epoch 9: 4%|▍ | 9/201 [00:10<03:35, 1.12s/it, loss=0.271, v_num=k7oa]Epoch 9: 5%|▍ | 10/201 [00:10<03:29, 1.10s/it, loss=0.271, v_num=k7oa]Epoch 9: 5%|▍ | 10/201 [00:10<03:29, 1.10s/it, loss=0.277, v_num=k7oa]Epoch 9: 5%|▌ | 11/201 [00:11<03:24, 1.08s/it, loss=0.277, v_num=k7oa]Epoch 9: 5%|▌ | 11/201 [00:11<03:24, 1.08s/it, loss=0.284, v_num=k7oa]Epoch 9: 6%|▌ | 12/201 [00:12<03:20, 1.06s/it, loss=0.284, v_num=k7oa]Epoch 9: 6%|▌ | 12/201 [00:12<03:20, 1.06s/it, loss=0.291, v_num=k7oa]Epoch 9: 6%|▋ | 13/201 [00:13<03:16, 1.04s/it, loss=0.291, v_num=k7oa]Epoch 9: 6%|▋ | 13/201 [00:13<03:16, 1.04s/it, loss=0.3, v_num=k7oa] Epoch 9: 7%|▋ | 14/201 [00:14<03:12, 1.03s/it, loss=0.3, v_num=k7oa]Epoch 9: 7%|▋ | 14/201 [00:14<03:12, 1.03s/it, loss=0.307, v_num=k7oa]Epoch 9: 7%|▋ | 15/201 [00:15<03:09, 1.02s/it, loss=0.307, v_num=k7oa]Epoch 9: 7%|▋ | 15/201 [00:15<03:09, 1.02s/it, loss=0.311, v_num=k7oa]Epoch 9: 8%|▊ | 16/201 [00:16<03:07, 1.01s/it, loss=0.311, v_num=k7oa]Epoch 9: 8%|▊ | 16/201 [00:16<03:07, 1.01s/it, loss=0.308, v_num=k7oa]Epoch 9: 8%|▊ | 17/201 [00:17<03:04, 1.00s/it, loss=0.308, v_num=k7oa]Epoch 9: 8%|▊ | 17/201 [00:17<03:04, 1.00s/it, loss=0.302, v_num=k7oa]Epoch 9: 9%|▉ | 18/201 [00:17<03:02, 1.00it/s, loss=0.302, v_num=k7oa]Epoch 9: 9%|▉ | 18/201 [00:17<03:02, 1.00it/s, loss=0.3, v_num=k7oa] Epoch 9: 9%|▉ | 19/201 [00:18<02:59, 1.01it/s, loss=0.3, v_num=k7oa]Epoch 9: 9%|▉ | 19/201 [00:18<02:59, 1.01it/s, loss=0.298, v_num=k7oa]Epoch 9: 10%|▉ | 20/201 [00:19<02:57, 1.02it/s, loss=0.298, v_num=k7oa]Epoch 9: 10%|▉ | 20/201 [00:19<02:57, 1.02it/s, loss=0.278, v_num=k7oa]Epoch 9: 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loss=0.264, v_num=k7oa]Epoch 9: 21%|██ | 42/201 [00:38<02:26, 1.08it/s, loss=0.264, v_num=k7oa]Epoch 9: 21%|██ | 42/201 [00:38<02:26, 1.08it/s, loss=0.253, v_num=k7oa]Epoch 9: 21%|██▏ | 43/201 [00:39<02:25, 1.08it/s, loss=0.253, v_num=k7oa]Epoch 9: 21%|██▏ | 43/201 [00:39<02:25, 1.08it/s, loss=0.263, v_num=k7oa]Epoch 9: 22%|██▏ | 44/201 [00:40<02:24, 1.09it/s, loss=0.263, v_num=k7oa]Epoch 9: 22%|██▏ | 44/201 [00:40<02:24, 1.09it/s, loss=0.242, v_num=k7oa]Epoch 9: 22%|██▏ | 45/201 [00:41<02:23, 1.09it/s, loss=0.242, v_num=k7oa]Epoch 9: 22%|██▏ | 45/201 [00:41<02:23, 1.09it/s, loss=0.251, v_num=k7oa]Epoch 9: 23%|██▎ | 46/201 [00:42<02:22, 1.09it/s, loss=0.251, v_num=k7oa]Epoch 9: 23%|██▎ | 46/201 [00:42<02:22, 1.09it/s, loss=0.263, v_num=k7oa]Epoch 9: 23%|██▎ | 47/201 [00:43<02:21, 1.09it/s, loss=0.263, v_num=k7oa]Epoch 9: 23%|██▎ | 47/201 [00:43<02:21, 1.09it/s, loss=0.262, v_num=k7oa]Epoch 9: 24%|██▍ | 48/201 [00:44<02:20, 1.09it/s, loss=0.262, v_num=k7oa]Epoch 9: 24%|██▍ | 48/201 [00:44<02:20, 1.09it/s, loss=0.274, v_num=k7oa]Epoch 9: 24%|██▍ | 49/201 [00:44<02:19, 1.09it/s, loss=0.274, v_num=k7oa]Epoch 9: 24%|██▍ | 49/201 [00:44<02:19, 1.09it/s, loss=0.267, v_num=k7oa]Epoch 9: 25%|██▍ | 50/201 [00:45<02:18, 1.09it/s, loss=0.267, v_num=k7oa]Epoch 9: 25%|██▍ | 50/201 [00:45<02:18, 1.09it/s, loss=0.25, v_num=k7oa] Epoch 9: 25%|██▌ | 51/201 [00:46<02:17, 1.09it/s, loss=0.25, v_num=k7oa]Epoch 9: 25%|██▌ | 51/201 [00:46<02:17, 1.09it/s, loss=0.248, v_num=k7oa]Epoch 9: 26%|██▌ | 52/201 [00:47<02:16, 1.09it/s, loss=0.248, v_num=k7oa]Epoch 9: 26%|██▌ | 52/201 [00:47<02:16, 1.09it/s, loss=0.251, v_num=k7oa]Epoch 9: 26%|██▋ | 53/201 [00:48<02:15, 1.10it/s, loss=0.251, v_num=k7oa]Epoch 9: 26%|██▋ | 53/201 [00:48<02:15, 1.10it/s, loss=0.253, v_num=k7oa]Epoch 9: 27%|██▋ | 54/201 [00:49<02:14, 1.10it/s, loss=0.253, v_num=k7oa]Epoch 9: 27%|██▋ | 54/201 [00:49<02:14, 1.10it/s, loss=0.255, v_num=k7oa]Epoch 9: 27%|██▋ | 55/201 [00:50<02:13, 1.10it/s, loss=0.255, v_num=k7oa]Epoch 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loss=0.28, v_num=k7oa] Epoch 9: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.28, v_num=k7oa]Epoch 9: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.288, v_num=k7oa]Epoch 9: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.288, v_num=k7oa]Epoch 9: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.285, v_num=k7oa]Epoch 9: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.285, v_num=k7oa]Epoch 9: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.29, v_num=k7oa] Epoch 9: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.29, v_num=k7oa]Epoch 9: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.281, v_num=k7oa]Epoch 9: 69%|██████▉ | 139/201 [02:03<00:54, 1.13it/s, loss=0.281, v_num=k7oa]Epoch 9: 69%|██████▉ | 139/201 [02:03<00:54, 1.13it/s, loss=0.276, v_num=k7oa]Epoch 9: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.276, v_num=k7oa]Epoch 9: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.277, v_num=k7oa]Epoch 9: 70%|███████ | 141/201 [02:04<00:53, 1.13it/s, loss=0.277, v_num=k7oa]Epoch 9: 70%|███████ | 141/201 [02:04<00:53, 1.13it/s, loss=0.271, v_num=k7oa]Epoch 9: 71%|███████ | 142/201 [02:05<00:52, 1.13it/s, loss=0.271, v_num=k7oa]Epoch 9: 71%|███████ | 142/201 [02:05<00:52, 1.13it/s, loss=0.263, v_num=k7oa]Epoch 9: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.263, v_num=k7oa]Epoch 9: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.263, v_num=k7oa]Epoch 9: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.263, v_num=k7oa]Epoch 9: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.251, v_num=k7oa]Epoch 9: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.251, v_num=k7oa]Epoch 9: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.244, v_num=k7oa]Epoch 9: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.244, v_num=k7oa]Epoch 9: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.249, v_num=k7oa]Epoch 9: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.249, v_num=k7oa]Epoch 9: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.251, v_num=k7oa]Epoch 9: 74%|███████▎ | 148/201 [02:11<00:46, 1.13it/s, loss=0.251, v_num=k7oa]Epoch 9: 74%|███████▎ | 148/201 [02:11<00:46, 1.13it/s, loss=0.25, v_num=k7oa] Epoch 9: 74%|███████▍ | 149/201 [02:11<00:46, 1.13it/s, loss=0.25, v_num=k7oa]Epoch 9: 74%|███████▍ | 149/201 [02:11<00:46, 1.13it/s, loss=0.265, v_num=k7oa]Epoch 9: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.265, v_num=k7oa]Epoch 9: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.267, v_num=k7oa]Epoch 9: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.267, v_num=k7oa]Epoch 9: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.273, v_num=k7oa]Epoch 9: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.273, v_num=k7oa]Epoch 9: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.278, v_num=k7oa]Epoch 9: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.278, v_num=k7oa]Epoch 9: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.283, v_num=k7oa]Epoch 9: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.283, v_num=k7oa]Epoch 9: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.279, v_num=k7oa]Epoch 9: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.279, v_num=k7oa]Epoch 9: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.273, v_num=k7oa]Epoch 9: 78%|███████▊ | 156/201 [02:17<00:39, 1.13it/s, loss=0.273, v_num=k7oa]Epoch 9: 78%|███████▊ | 156/201 [02:17<00:39, 1.13it/s, loss=0.266, v_num=k7oa]Epoch 9: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.266, v_num=k7oa]Epoch 9: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.264, v_num=k7oa]Epoch 9: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.264, v_num=k7oa]Epoch 9: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.278, v_num=k7oa]Epoch 9: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.278, v_num=k7oa]Epoch 9: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.283, v_num=k7oa]Epoch 9: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.283, v_num=k7oa]Epoch 9: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.287, v_num=k7oa]Epoch 9: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.287, v_num=k7oa]Epoch 9: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.29, v_num=k7oa] Epoch 9: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.29, v_num=k7oa]Epoch 9: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.299, v_num=k7oa]Epoch 9: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.299, v_num=k7oa]Epoch 9: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 9: 82%|████████▏ | 164/201 [02:24<00:32, 1.13it/s, loss=0.312, v_num=k7oa]Epoch 9: 82%|████████▏ | 164/201 [02:24<00:32, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 9: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.321, v_num=k7oa]Epoch 9: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.33, v_num=k7oa] Epoch 9: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.33, v_num=k7oa]Epoch 9: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.325, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
Validation: 0%| | 0/35 [00:00<?, ?it/s][A
Validation DataLoader 0: 0%| | 0/35 [00:00<?, ?it/s][A
Validation DataLoader 0: 3%|▎ | 1/35 [00:00<00:10, 3.10it/s][AEpoch 9: 83%|████████▎ | 167/201 [02:28<00:30, 1.12it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.35it/s][AEpoch 9: 84%|████████▎ | 168/201 [02:29<00:29, 1.13it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.45it/s][AEpoch 9: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.50it/s][AEpoch 9: 85%|████████▍ | 170/201 [02:29<00:27, 1.14it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.53it/s][AEpoch 9: 85%|████████▌ | 171/201 [02:29<00:26, 1.14it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.55it/s][AEpoch 9: 86%|████████▌ | 172/201 [02:30<00:25, 1.15it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.56it/s][AEpoch 9: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.57it/s][AEpoch 9: 87%|████████▋ | 174/201 [02:30<00:23, 1.15it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.58it/s][AEpoch 9: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:06, 3.58it/s][AEpoch 9: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.59it/s][AEpoch 9: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.58it/s][AEpoch 9: 89%|████████▊ | 178/201 [02:31<00:19, 1.17it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.58it/s][AEpoch 9: 89%|████████▉ | 179/201 [02:32<00:18, 1.18it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.59it/s][AEpoch 9: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.60it/s][AEpoch 9: 90%|█████████ | 181/201 [02:32<00:16, 1.19it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.60it/s][AEpoch 9: 91%|█████████ | 182/201 [02:32<00:15, 1.19it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.61it/s][AEpoch 9: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.61it/s][AEpoch 9: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.62it/s][AEpoch 9: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.62it/s][AEpoch 9: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.62it/s][AEpoch 9: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.63it/s][AEpoch 9: 94%|█████████▎| 188/201 [02:34<00:10, 1.22it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.63it/s][AEpoch 9: 94%|█████████▍| 189/201 [02:34<00:09, 1.22it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.63it/s][AEpoch 9: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.63it/s][AEpoch 9: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.63it/s][AEpoch 9: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.63it/s][AEpoch 9: 96%|█████████▌| 193/201 [02:35<00:06, 1.24it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.64it/s][AEpoch 9: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.64it/s][AEpoch 9: 97%|█████████▋| 195/201 [02:36<00:04, 1.25it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.64it/s][AEpoch 9: 98%|█████████▊| 196/201 [02:36<00:03, 1.25it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.64it/s][AEpoch 9: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.64it/s][AEpoch 9: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.64it/s][AEpoch 9: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.64it/s][AEpoch 9: 100%|█████████▉| 200/201 [02:37<00:00, 1.27it/s, loss=0.325, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.67it/s][AEpoch 9: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.325, v_num=k7oa]Epoch 9: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.325, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
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[00:07<04:06, 1.26s/it, loss=0.281, v_num=k7oa]Epoch 10: 3%|▎ | 7/201 [00:08<03:53, 1.21s/it, loss=0.281, v_num=k7oa]Epoch 10: 3%|▎ | 7/201 [00:08<03:53, 1.21s/it, loss=0.279, v_num=k7oa]Epoch 10: 4%|▍ | 8/201 [00:09<03:44, 1.16s/it, loss=0.279, v_num=k7oa]Epoch 10: 4%|▍ | 8/201 [00:09<03:44, 1.16s/it, loss=0.277, v_num=k7oa]Epoch 10: 4%|▍ | 9/201 [00:10<03:36, 1.13s/it, loss=0.277, v_num=k7oa]Epoch 10: 4%|▍ | 9/201 [00:10<03:36, 1.13s/it, loss=0.273, v_num=k7oa]Epoch 10: 5%|▍ | 10/201 [00:11<03:30, 1.10s/it, loss=0.273, v_num=k7oa]Epoch 10: 5%|▍ | 10/201 [00:11<03:30, 1.10s/it, loss=0.272, v_num=k7oa]Epoch 10: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.272, v_num=k7oa]Epoch 10: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.272, v_num=k7oa]Epoch 10: 6%|▌ | 12/201 [00:12<03:20, 1.06s/it, loss=0.272, v_num=k7oa]Epoch 10: 6%|▌ | 12/201 [00:12<03:20, 1.06s/it, loss=0.26, v_num=k7oa] Epoch 10: 6%|▋ | 13/201 [00:13<03:16, 1.05s/it, loss=0.26, v_num=k7oa]Epoch 10: 6%|▋ | 13/201 [00:13<03:16, 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loss=0.223, v_num=k7oa]Epoch 10: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.223, v_num=k7oa]Epoch 10: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.215, v_num=k7oa]Epoch 10: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.215, v_num=k7oa]Epoch 10: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 10: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 10: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.214, v_num=k7oa]Epoch 10: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.214, v_num=k7oa]Epoch 10: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.211, v_num=k7oa]Epoch 10: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.211, v_num=k7oa]Epoch 10: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.212, v_num=k7oa]Epoch 10: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.212, v_num=k7oa]Epoch 10: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 10: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 10: 79%|███████▊ | 158/201 [02:19<00:38, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 10: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 10: 79%|███████▉ | 159/201 [02:20<00:37, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 10: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 10: 80%|███████▉ | 160/201 [02:21<00:36, 1.13it/s, loss=0.211, v_num=k7oa]Epoch 10: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.211, v_num=k7oa]Epoch 10: 80%|████████ | 161/201 [02:22<00:35, 1.13it/s, loss=0.21, v_num=k7oa] Epoch 10: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.21, v_num=k7oa]Epoch 10: 81%|████████ | 162/201 [02:23<00:34, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 10: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 10: 81%|████████ | 163/201 [02:24<00:33, 1.13it/s, loss=0.227, v_num=k7oa]Epoch 10: 82%|████████▏ | 164/201 [02:25<00:32, 1.13it/s, loss=0.227, v_num=k7oa]Epoch 10: 82%|████████▏ | 164/201 [02:25<00:32, 1.13it/s, loss=0.222, v_num=k7oa]Epoch 10: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.222, v_num=k7oa]Epoch 10: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.227, v_num=k7oa]Epoch 10: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.227, v_num=k7oa]Epoch 10: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.236, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 0%| | 0/35 [00:00<?, ?it/s][A
Validation DataLoader 0: 3%|▎ | 1/35 [00:00<00:10, 3.25it/s][AEpoch 10: 83%|████████▎ | 167/201 [02:28<00:30, 1.12it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.36it/s][AEpoch 10: 84%|████████▎ | 168/201 [02:29<00:29, 1.13it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.46it/s][AEpoch 10: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.51it/s][AEpoch 10: 85%|████████▍ | 170/201 [02:29<00:27, 1.14it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.54it/s][AEpoch 10: 85%|████████▌ | 171/201 [02:29<00:26, 1.14it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.56it/s][AEpoch 10: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.56it/s][AEpoch 10: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.57it/s][AEpoch 10: 87%|████████▋ | 174/201 [02:30<00:23, 1.15it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.55it/s][AEpoch 10: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:07, 3.55it/s][AEpoch 10: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.56it/s][AEpoch 10: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.57it/s][AEpoch 10: 89%|████████▊ | 178/201 [02:31<00:19, 1.17it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.58it/s][AEpoch 10: 89%|████████▉ | 179/201 [02:32<00:18, 1.18it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.59it/s][AEpoch 10: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.60it/s][AEpoch 10: 90%|█████████ | 181/201 [02:32<00:16, 1.19it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.60it/s][AEpoch 10: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.61it/s][AEpoch 10: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.61it/s][AEpoch 10: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.62it/s][AEpoch 10: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.62it/s][AEpoch 10: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.62it/s][AEpoch 10: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.62it/s][AEpoch 10: 94%|█████████▎| 188/201 [02:34<00:10, 1.22it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.62it/s][AEpoch 10: 94%|█████████▍| 189/201 [02:34<00:09, 1.22it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.63it/s][AEpoch 10: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.63it/s][AEpoch 10: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.63it/s][AEpoch 10: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.63it/s][AEpoch 10: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.63it/s][AEpoch 10: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.63it/s][AEpoch 10: 97%|█████████▋| 195/201 [02:36<00:04, 1.25it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.63it/s][AEpoch 10: 98%|█████████▊| 196/201 [02:36<00:04, 1.25it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.63it/s][AEpoch 10: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.63it/s][AEpoch 10: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.63it/s][AEpoch 10: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.63it/s][AEpoch 10: 100%|█████████▉| 200/201 [02:37<00:00, 1.27it/s, loss=0.236, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.66it/s][AEpoch 10: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.236, v_num=k7oa]Epoch 10: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.236, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 10: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.236, v_num=k7oa]Epoch 10: 0%| | 0/201 [00:00<?, ?it/s, loss=0.236, v_num=k7oa] Epoch 11: 0%| | 0/201 [00:00<?, ?it/s, loss=0.236, v_num=k7oa]Epoch 11: 0%| | 1/201 [00:03<10:35, 3.18s/it, loss=0.236, v_num=k7oa]Epoch 11: 0%| | 1/201 [00:03<10:35, 3.18s/it, loss=0.233, v_num=k7oa]Epoch 11: 1%| | 2/201 [00:04<06:42, 2.02s/it, loss=0.233, v_num=k7oa]Epoch 11: 1%| | 2/201 [00:04<06:42, 2.02s/it, loss=0.228, v_num=k7oa]Epoch 11: 1%|▏ | 3/201 [00:04<05:24, 1.64s/it, loss=0.228, v_num=k7oa]Epoch 11: 1%|▏ | 3/201 [00:04<05:24, 1.64s/it, loss=0.227, v_num=k7oa]Epoch 11: 2%|▏ | 4/201 [00:05<04:45, 1.45s/it, loss=0.227, v_num=k7oa]Epoch 11: 2%|▏ | 4/201 [00:05<04:45, 1.45s/it, loss=0.227, v_num=k7oa]Epoch 11: 2%|▏ | 5/201 [00:06<04:21, 1.33s/it, loss=0.227, v_num=k7oa]Epoch 11: 2%|▏ | 5/201 [00:06<04:21, 1.33s/it, loss=0.225, v_num=k7oa]Epoch 11: 3%|▎ | 6/201 [00:07<04:04, 1.26s/it, loss=0.225, v_num=k7oa]Epoch 11: 3%|▎ | 6/201 [00:07<04:04, 1.26s/it, loss=0.225, v_num=k7oa]Epoch 11: 3%|▎ | 7/201 [00:08<03:53, 1.20s/it, loss=0.225, v_num=k7oa]Epoch 11: 3%|▎ | 7/201 [00:08<03:53, 1.20s/it, loss=0.228, v_num=k7oa]Epoch 11: 4%|▍ | 8/201 [00:09<03:43, 1.16s/it, loss=0.228, v_num=k7oa]Epoch 11: 4%|▍ | 8/201 [00:09<03:43, 1.16s/it, loss=0.217, v_num=k7oa]Epoch 11: 4%|▍ | 9/201 [00:10<03:36, 1.13s/it, loss=0.217, v_num=k7oa]Epoch 11: 4%|▍ | 9/201 [00:10<03:36, 1.13s/it, loss=0.208, v_num=k7oa]Epoch 11: 5%|▍ | 10/201 [00:11<03:30, 1.10s/it, loss=0.208, v_num=k7oa]Epoch 11: 5%|▍ | 10/201 [00:11<03:30, 1.10s/it, loss=0.212, v_num=k7oa]Epoch 11: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.212, v_num=k7oa]Epoch 11: 5%|▌ | 11/201 [00:11<03:25, 1.08s/it, loss=0.217, v_num=k7oa]Epoch 11: 6%|▌ | 12/201 [00:12<03:21, 1.06s/it, loss=0.217, v_num=k7oa]Epoch 11: 6%|▌ | 12/201 [00:12<03:21, 1.06s/it, loss=0.217, v_num=k7oa]Epoch 11: 6%|▋ | 13/201 [00:13<03:17, 1.05s/it, loss=0.217, v_num=k7oa]Epoch 11: 6%|▋ | 13/201 [00:13<03:17, 1.05s/it, loss=0.22, v_num=k7oa] Epoch 11: 7%|▋ | 14/201 [00:14<03:13, 1.04s/it, loss=0.22, v_num=k7oa]Epoch 11: 7%|▋ | 14/201 [00:14<03:13, 1.04s/it, loss=0.218, v_num=k7oa]Epoch 11: 7%|▋ | 15/201 [00:15<03:10, 1.03s/it, loss=0.218, v_num=k7oa]Epoch 11: 7%|▋ | 15/201 [00:15<03:10, 1.03s/it, loss=0.211, v_num=k7oa]Epoch 11: 8%|▊ | 16/201 [00:16<03:07, 1.02s/it, loss=0.211, v_num=k7oa]Epoch 11: 8%|▊ | 16/201 [00:16<03:07, 1.02s/it, loss=0.207, v_num=k7oa]Epoch 11: 8%|▊ | 17/201 [00:17<03:05, 1.01s/it, loss=0.207, v_num=k7oa]Epoch 11: 8%|▊ | 17/201 [00:17<03:05, 1.01s/it, loss=0.198, v_num=k7oa]Epoch 11: 9%|▉ | 18/201 [00:17<03:02, 1.00it/s, loss=0.198, v_num=k7oa]Epoch 11: 9%|▉ | 18/201 [00:17<03:02, 1.00it/s, loss=0.197, v_num=k7oa]Epoch 11: 9%|▉ | 19/201 [00:18<03:00, 1.01it/s, loss=0.197, v_num=k7oa]Epoch 11: 9%|▉ | 19/201 [00:18<03:00, 1.01it/s, loss=0.192, v_num=k7oa]Epoch 11: 10%|▉ | 20/201 [00:19<02:58, 1.01it/s, loss=0.192, v_num=k7oa]Epoch 11: 10%|▉ | 20/201 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[01:57<01:01, 1.13it/s, loss=0.22, v_num=k7oa] Epoch 11: 66%|██████▌ | 133/201 [01:58<01:00, 1.13it/s, loss=0.22, v_num=k7oa]Epoch 11: 66%|██████▌ | 133/201 [01:58<01:00, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 11: 67%|██████▋ | 134/201 [01:58<00:59, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 11: 67%|██████▋ | 134/201 [01:58<00:59, 1.13it/s, loss=0.212, v_num=k7oa]Epoch 11: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.212, v_num=k7oa]Epoch 11: 67%|██████▋ | 135/201 [01:59<00:58, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 11: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 11: 68%|██████▊ | 136/201 [02:00<00:57, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 11: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 11: 68%|██████▊ | 137/201 [02:01<00:56, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 11: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 11: 69%|██████▊ | 138/201 [02:02<00:55, 1.13it/s, loss=0.223, v_num=k7oa]Epoch 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loss=0.253, v_num=k7oa]Epoch 11: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.264, v_num=k7oa]Epoch 11: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.264, v_num=k7oa]Epoch 11: 73%|███████▎ | 146/201 [02:09<00:48, 1.13it/s, loss=0.263, v_num=k7oa]Epoch 11: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.263, v_num=k7oa]Epoch 11: 73%|███████▎ | 147/201 [02:10<00:47, 1.13it/s, loss=0.257, v_num=k7oa]Epoch 11: 74%|███████▎ | 148/201 [02:11<00:46, 1.13it/s, loss=0.257, v_num=k7oa]Epoch 11: 74%|███████▎ | 148/201 [02:11<00:46, 1.13it/s, loss=0.249, v_num=k7oa]Epoch 11: 74%|███████▍ | 149/201 [02:11<00:46, 1.13it/s, loss=0.249, v_num=k7oa]Epoch 11: 74%|███████▍ | 149/201 [02:11<00:46, 1.13it/s, loss=0.261, v_num=k7oa]Epoch 11: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.261, v_num=k7oa]Epoch 11: 75%|███████▍ | 150/201 [02:12<00:45, 1.13it/s, loss=0.257, v_num=k7oa]Epoch 11: 75%|███████▌ | 151/201 [02:13<00:44, 1.13it/s, loss=0.257, v_num=k7oa]Epoch 11: 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Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.52it/s][AEpoch 11: 84%|████████▎ | 168/201 [02:29<00:29, 1.13it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.53it/s][AEpoch 11: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.57it/s][AEpoch 11: 85%|████████▍ | 170/201 [02:29<00:27, 1.14it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.59it/s][AEpoch 11: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.59it/s][AEpoch 11: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.60it/s][AEpoch 11: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.221, v_num=k7oa]
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Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.61it/s][AEpoch 11: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:06, 3.61it/s][AEpoch 11: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.58it/s][AEpoch 11: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.59it/s][AEpoch 11: 89%|████████▊ | 178/201 [02:31<00:19, 1.17it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.60it/s][AEpoch 11: 89%|████████▉ | 179/201 [02:32<00:18, 1.18it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.60it/s][AEpoch 11: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.61it/s][AEpoch 11: 90%|█████████ | 181/201 [02:32<00:16, 1.18it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.61it/s][AEpoch 11: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.62it/s][AEpoch 11: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.62it/s][AEpoch 11: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.63it/s][AEpoch 11: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.63it/s][AEpoch 11: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.63it/s][AEpoch 11: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.63it/s][AEpoch 11: 94%|█████████▎| 188/201 [02:34<00:10, 1.22it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.63it/s][AEpoch 11: 94%|█████████▍| 189/201 [02:34<00:09, 1.22it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.64it/s][AEpoch 11: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.64it/s][AEpoch 11: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.64it/s][AEpoch 11: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.64it/s][AEpoch 11: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.64it/s][AEpoch 11: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.64it/s][AEpoch 11: 97%|█████████▋| 195/201 [02:36<00:04, 1.25it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.64it/s][AEpoch 11: 98%|█████████▊| 196/201 [02:36<00:04, 1.25it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.64it/s][AEpoch 11: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.64it/s][AEpoch 11: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.64it/s][AEpoch 11: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.64it/s][AEpoch 11: 100%|█████████▉| 200/201 [02:37<00:00, 1.27it/s, loss=0.221, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.67it/s][AEpoch 11: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.221, v_num=k7oa]Epoch 11: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.221, v_num=k7oa]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 11: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.221, v_num=k7oa]Epoch 11: 0%| | 0/201 [00:00<?, ?it/s, loss=0.221, v_num=k7oa] Epoch 12: 0%| | 0/201 [00:00<?, ?it/s, loss=0.221, v_num=k7oa]Epoch 12: 0%| | 1/201 [00:03<10:31, 3.16s/it, loss=0.221, v_num=k7oa]Epoch 12: 0%| | 1/201 [00:03<10:31, 3.16s/it, loss=0.223, v_num=k7oa]Epoch 12: 1%| | 2/201 [00:04<06:40, 2.01s/it, loss=0.223, v_num=k7oa]Epoch 12: 1%| | 2/201 [00:04<06:40, 2.01s/it, loss=0.23, v_num=k7oa] Epoch 12: 1%|▏ | 3/201 [00:04<05:24, 1.64s/it, loss=0.23, v_num=k7oa]Epoch 12: 1%|▏ | 3/201 [00:04<05:24, 1.64s/it, loss=0.217, v_num=k7oa]Epoch 12: 2%|▏ | 4/201 [00:05<04:44, 1.45s/it, loss=0.217, v_num=k7oa]Epoch 12: 2%|▏ | 4/201 [00:05<04:44, 1.45s/it, loss=0.222, v_num=k7oa]Epoch 12: 2%|▏ | 5/201 [00:06<04:20, 1.33s/it, loss=0.222, v_num=k7oa]Epoch 12: 2%|▏ | 5/201 [00:06<04:20, 1.33s/it, loss=0.222, v_num=k7oa]Epoch 12: 3%|▎ | 6/201 [00:07<04:04, 1.25s/it, loss=0.222, v_num=k7oa]Epoch 12: 3%|▎ | 6/201 [00:07<04:04, 1.25s/it, loss=0.213, v_num=k7oa]Epoch 12: 3%|▎ | 7/201 [00:08<03:52, 1.20s/it, loss=0.213, v_num=k7oa]Epoch 12: 3%|▎ | 7/201 [00:08<03:52, 1.20s/it, loss=0.215, v_num=k7oa]Epoch 12: 4%|▍ | 8/201 [00:09<03:42, 1.15s/it, loss=0.215, v_num=k7oa]Epoch 12: 4%|▍ | 8/201 [00:09<03:42, 1.16s/it, loss=0.211, v_num=k7oa]Epoch 12: 4%|▍ | 9/201 [00:10<03:35, 1.12s/it, loss=0.211, v_num=k7oa]Epoch 12: 4%|▍ | 9/201 [00:10<03:35, 1.12s/it, loss=0.213, v_num=k7oa]Epoch 12: 5%|▍ | 10/201 [00:10<03:29, 1.10s/it, loss=0.213, v_num=k7oa]Epoch 12: 5%|▍ | 10/201 [00:10<03:29, 1.10s/it, loss=0.211, v_num=k7oa]Epoch 12: 5%|▌ | 11/201 [00:11<03:24, 1.08s/it, loss=0.211, v_num=k7oa]Epoch 12: 5%|▌ | 11/201 [00:11<03:24, 1.08s/it, loss=0.212, v_num=k7oa]Epoch 12: 6%|▌ | 12/201 [00:12<03:20, 1.06s/it, loss=0.212, v_num=k7oa]Epoch 12: 6%|▌ | 12/201 [00:12<03:20, 1.06s/it, loss=0.207, v_num=k7oa]Epoch 12: 6%|▋ | 13/201 [00:13<03:16, 1.05s/it, loss=0.207, v_num=k7oa]Epoch 12: 6%|▋ | 13/201 [00:13<03:16, 1.05s/it, loss=0.195, v_num=k7oa]Epoch 12: 7%|▋ | 14/201 [00:14<03:13, 1.03s/it, loss=0.195, v_num=k7oa]Epoch 12: 7%|▋ | 14/201 [00:14<03:13, 1.03s/it, loss=0.2, v_num=k7oa] Epoch 12: 7%|▋ | 15/201 [00:15<03:10, 1.02s/it, loss=0.2, v_num=k7oa]Epoch 12: 7%|▋ | 15/201 [00:15<03:10, 1.02s/it, loss=0.197, v_num=k7oa]Epoch 12: 8%|▊ | 16/201 [00:16<03:07, 1.01s/it, loss=0.197, v_num=k7oa]Epoch 12: 8%|▊ | 16/201 [00:16<03:07, 1.01s/it, loss=0.195, v_num=k7oa]Epoch 12: 8%|▊ | 17/201 [00:17<03:04, 1.00s/it, loss=0.195, v_num=k7oa]Epoch 12: 8%|▊ | 17/201 [00:17<03:04, 1.00s/it, loss=0.196, v_num=k7oa]Epoch 12: 9%|▉ | 18/201 [00:17<03:02, 1.00it/s, loss=0.196, v_num=k7oa]Epoch 12: 9%|▉ | 18/201 [00:17<03:02, 1.00it/s, loss=0.192, v_num=k7oa]Epoch 12: 9%|▉ | 19/201 [00:18<03:00, 1.01it/s, loss=0.192, v_num=k7oa]Epoch 12: 9%|▉ | 19/201 [00:18<03:00, 1.01it/s, loss=0.193, v_num=k7oa]Epoch 12: 10%|▉ | 20/201 [00:19<02:58, 1.02it/s, loss=0.193, v_num=k7oa]Epoch 12: 10%|▉ | 20/201 [00:19<02:58, 1.02it/s, loss=0.185, v_num=k7oa]Epoch 12: 10%|█ | 21/201 [00:20<02:56, 1.02it/s, loss=0.185, v_num=k7oa]Epoch 12: 10%|█ | 21/201 [00:20<02:56, 1.02it/s, loss=0.195, v_num=k7oa]Epoch 12: 11%|█ | 22/201 [00:21<02:54, 1.03it/s, loss=0.195, v_num=k7oa]Epoch 12: 11%|█ | 22/201 [00:21<02:54, 1.03it/s, loss=0.191, v_num=k7oa]Epoch 12: 11%|█▏ | 23/201 [00:22<02:52, 1.03it/s, loss=0.191, v_num=k7oa]Epoch 12: 11%|█▏ | 23/201 [00:22<02:52, 1.03it/s, loss=0.192, v_num=k7oa]Epoch 12: 12%|█▏ | 24/201 [00:23<02:50, 1.04it/s, loss=0.192, v_num=k7oa]Epoch 12: 12%|█▏ | 24/201 [00:23<02:51, 1.04it/s, loss=0.189, v_num=k7oa]Epoch 12: 12%|█▏ | 25/201 [00:24<02:49, 1.04it/s, loss=0.189, v_num=k7oa]Epoch 12: 12%|█▏ | 25/201 [00:24<02:49, 1.04it/s, loss=0.196, v_num=k7oa]Epoch 12: 13%|█▎ | 26/201 [00:24<02:47, 1.04it/s, loss=0.196, v_num=k7oa]Epoch 12: 13%|█▎ | 26/201 [00:24<02:47, 1.04it/s, loss=0.199, v_num=k7oa]Epoch 12: 13%|█▎ | 27/201 [00:25<02:46, 1.05it/s, loss=0.199, v_num=k7oa]Epoch 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loss=0.23, v_num=k7oa]Epoch 12: 69%|██████▉ | 139/201 [02:03<00:55, 1.13it/s, loss=0.235, v_num=k7oa]Epoch 12: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.235, v_num=k7oa]Epoch 12: 70%|██████▉ | 140/201 [02:04<00:54, 1.13it/s, loss=0.223, v_num=k7oa]Epoch 12: 70%|███████ | 141/201 [02:05<00:53, 1.13it/s, loss=0.223, v_num=k7oa]Epoch 12: 70%|███████ | 141/201 [02:05<00:53, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 12: 71%|███████ | 142/201 [02:05<00:52, 1.13it/s, loss=0.216, v_num=k7oa]Epoch 12: 71%|███████ | 142/201 [02:05<00:52, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 12: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.213, v_num=k7oa]Epoch 12: 71%|███████ | 143/201 [02:06<00:51, 1.13it/s, loss=0.215, v_num=k7oa]Epoch 12: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.215, v_num=k7oa]Epoch 12: 72%|███████▏ | 144/201 [02:07<00:50, 1.13it/s, loss=0.221, v_num=k7oa]Epoch 12: 72%|███████▏ | 145/201 [02:08<00:49, 1.13it/s, loss=0.221, v_num=k7oa]Epoch 12: 72%|███████▏ | 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loss=0.193, v_num=k7oa]Epoch 12: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.193, v_num=k7oa]Epoch 12: 76%|███████▌ | 152/201 [02:14<00:43, 1.13it/s, loss=0.194, v_num=k7oa]Epoch 12: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.194, v_num=k7oa]Epoch 12: 76%|███████▌ | 153/201 [02:15<00:42, 1.13it/s, loss=0.187, v_num=k7oa]Epoch 12: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.187, v_num=k7oa]Epoch 12: 77%|███████▋ | 154/201 [02:16<00:41, 1.13it/s, loss=0.187, v_num=k7oa]Epoch 12: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.187, v_num=k7oa]Epoch 12: 77%|███████▋ | 155/201 [02:17<00:40, 1.13it/s, loss=0.2, v_num=k7oa] Epoch 12: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.2, v_num=k7oa]Epoch 12: 78%|███████▊ | 156/201 [02:18<00:39, 1.13it/s, loss=0.189, v_num=k7oa]Epoch 12: 78%|███████▊ | 157/201 [02:18<00:38, 1.13it/s, loss=0.189, v_num=k7oa]Epoch 12: 78%|███████▊ | 157/201 [02:19<00:38, 1.13it/s, loss=0.198, v_num=k7oa]Epoch 12: 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1.13it/s, loss=0.216, v_num=k7oa]Epoch 12: 82%|████████▏ | 164/201 [02:25<00:32, 1.13it/s, loss=0.211, v_num=k7oa]Epoch 12: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.211, v_num=k7oa]Epoch 12: 82%|████████▏ | 165/201 [02:25<00:31, 1.13it/s, loss=0.212, v_num=k7oa]Epoch 12: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.212, v_num=k7oa]Epoch 12: 83%|████████▎ | 166/201 [02:26<00:30, 1.13it/s, loss=0.209, v_num=k7oa]
Validation: 0it [00:00, ?it/s][A
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Validation DataLoader 0: 3%|▎ | 1/35 [00:00<00:10, 3.14it/s][AEpoch 12: 83%|████████▎ | 167/201 [02:29<00:30, 1.12it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.36it/s][AEpoch 12: 84%|████████▎ | 168/201 [02:29<00:29, 1.12it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.45it/s][AEpoch 12: 84%|████████▍ | 169/201 [02:29<00:28, 1.13it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.50it/s][AEpoch 12: 85%|████████▍ | 170/201 [02:29<00:27, 1.13it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.51it/s][AEpoch 12: 85%|████████▌ | 171/201 [02:30<00:26, 1.14it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.51it/s][AEpoch 12: 86%|████████▌ | 172/201 [02:30<00:25, 1.14it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.53it/s][AEpoch 12: 86%|████████▌ | 173/201 [02:30<00:24, 1.15it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.55it/s][AEpoch 12: 87%|████████▋ | 174/201 [02:30<00:23, 1.15it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.56it/s][AEpoch 12: 87%|████████▋ | 175/201 [02:31<00:22, 1.16it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 29%|██▊ | 10/35 [00:02<00:06, 3.57it/s][AEpoch 12: 88%|████████▊ | 176/201 [02:31<00:21, 1.16it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.58it/s][AEpoch 12: 88%|████████▊ | 177/201 [02:31<00:20, 1.17it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.58it/s][AEpoch 12: 89%|████████▊ | 178/201 [02:32<00:19, 1.17it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.59it/s][AEpoch 12: 89%|████████▉ | 179/201 [02:32<00:18, 1.17it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.60it/s][AEpoch 12: 90%|████████▉ | 180/201 [02:32<00:17, 1.18it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.60it/s][AEpoch 12: 90%|█████████ | 181/201 [02:32<00:16, 1.18it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.61it/s][AEpoch 12: 91%|█████████ | 182/201 [02:33<00:15, 1.19it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.61it/s][AEpoch 12: 91%|█████████ | 183/201 [02:33<00:15, 1.19it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.61it/s][AEpoch 12: 92%|█████████▏| 184/201 [02:33<00:14, 1.20it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.62it/s][AEpoch 12: 92%|█████████▏| 185/201 [02:33<00:13, 1.20it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.62it/s][AEpoch 12: 93%|█████████▎| 186/201 [02:34<00:12, 1.21it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.62it/s][AEpoch 12: 93%|█████████▎| 187/201 [02:34<00:11, 1.21it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.63it/s][AEpoch 12: 94%|█████████▎| 188/201 [02:34<00:10, 1.21it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.63it/s][AEpoch 12: 94%|█████████▍| 189/201 [02:35<00:09, 1.22it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.63it/s][AEpoch 12: 95%|█████████▍| 190/201 [02:35<00:08, 1.22it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.63it/s][AEpoch 12: 95%|█████████▌| 191/201 [02:35<00:08, 1.23it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.63it/s][AEpoch 12: 96%|█████████▌| 192/201 [02:35<00:07, 1.23it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.63it/s][AEpoch 12: 96%|█████████▌| 193/201 [02:36<00:06, 1.24it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.63it/s][AEpoch 12: 97%|█████████▋| 194/201 [02:36<00:05, 1.24it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.63it/s][AEpoch 12: 97%|█████████▋| 195/201 [02:36<00:04, 1.24it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.64it/s][AEpoch 12: 98%|█████████▊| 196/201 [02:36<00:04, 1.25it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.64it/s][AEpoch 12: 98%|█████████▊| 197/201 [02:37<00:03, 1.25it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.63it/s][AEpoch 12: 99%|█████████▊| 198/201 [02:37<00:02, 1.26it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.63it/s][AEpoch 12: 99%|█████████▉| 199/201 [02:37<00:01, 1.26it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.63it/s][AEpoch 12: 100%|█████████▉| 200/201 [02:38<00:00, 1.27it/s, loss=0.209, v_num=k7oa]
Validation DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.66it/s][AEpoch 12: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.209, v_num=k7oa]Epoch 12: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.209, v_num=k7oa]
You are using a CUDA device ('NVIDIA A100-SXM4-40GB') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [1]
/home/mai.kassem/.conda/envs/torch/lib/python3.9/site-packages/torch/utils/data/dataloader.py:554: UserWarning: This DataLoader will create 12 worker processes in total. Our suggested max number of worker in current system is 8, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
[AEpoch 12: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.209, v_num=k7oa]Epoch 12: 100%|██████████| 201/201 [02:38<00:00, 1.27it/s, loss=0.209, v_num=k7oa]
Testing: 0it [00:00, ?it/s]Testing: 0%| | 0/35 [00:00<?, ?it/s]Testing DataLoader 0: 0%| | 0/35 [00:00<?, ?it/s]Testing DataLoader 0: 3%|▎ | 1/35 [00:00<00:10, 3.25it/s]Testing DataLoader 0: 6%|▌ | 2/35 [00:00<00:09, 3.44it/s]Testing DataLoader 0: 9%|▊ | 3/35 [00:00<00:09, 3.51it/s]Testing DataLoader 0: 11%|█▏ | 4/35 [00:01<00:08, 3.53it/s]Testing DataLoader 0: 14%|█▍ | 5/35 [00:01<00:08, 3.55it/s]Testing DataLoader 0: 17%|█▋ | 6/35 [00:01<00:08, 3.57it/s]Testing DataLoader 0: 20%|██ | 7/35 [00:01<00:07, 3.58it/s]Testing DataLoader 0: 23%|██▎ | 8/35 [00:02<00:07, 3.55it/s]Testing DataLoader 0: 26%|██▌ | 9/35 [00:02<00:07, 3.57it/s]Testing DataLoader 0: 29%|██▊ | 10/35 [00:02<00:06, 3.58it/s]Testing DataLoader 0: 31%|███▏ | 11/35 [00:03<00:06, 3.59it/s]Testing DataLoader 0: 34%|███▍ | 12/35 [00:03<00:06, 3.59it/s]Testing DataLoader 0: 37%|███▋ | 13/35 [00:03<00:06, 3.60it/s]Testing DataLoader 0: 40%|████ | 14/35 [00:03<00:05, 3.61it/s]Testing DataLoader 0: 43%|████▎ | 15/35 [00:04<00:05, 3.61it/s]Testing DataLoader 0: 46%|████▌ | 16/35 [00:04<00:05, 3.62it/s]Testing DataLoader 0: 49%|████▊ | 17/35 [00:04<00:04, 3.62it/s]Testing DataLoader 0: 51%|█████▏ | 18/35 [00:04<00:04, 3.63it/s]Testing DataLoader 0: 54%|█████▍ | 19/35 [00:05<00:04, 3.63it/s]Testing DataLoader 0: 57%|█████▋ | 20/35 [00:05<00:04, 3.63it/s]Testing DataLoader 0: 60%|██████ | 21/35 [00:05<00:03, 3.63it/s]Testing DataLoader 0: 63%|██████▎ | 22/35 [00:06<00:03, 3.63it/s]Testing DataLoader 0: 66%|██████▌ | 23/35 [00:06<00:03, 3.63it/s]Testing DataLoader 0: 69%|██████▊ | 24/35 [00:06<00:03, 3.63it/s]Testing DataLoader 0: 71%|███████▏ | 25/35 [00:06<00:02, 3.63it/s]Testing DataLoader 0: 74%|███████▍ | 26/35 [00:07<00:02, 3.63it/s]Testing DataLoader 0: 77%|███████▋ | 27/35 [00:07<00:02, 3.63it/s]Testing DataLoader 0: 80%|████████ | 28/35 [00:07<00:01, 3.64it/s]Testing DataLoader 0: 83%|████████▎ | 29/35 [00:07<00:01, 3.64it/s]Testing DataLoader 0: 86%|████████▌ | 30/35 [00:08<00:01, 3.64it/s]Testing DataLoader 0: 89%|████████▊ | 31/35 [00:08<00:01, 3.64it/s]Testing DataLoader 0: 91%|█████████▏| 32/35 [00:08<00:00, 3.64it/s]Testing DataLoader 0: 94%|█████████▍| 33/35 [00:09<00:00, 3.64it/s]Testing DataLoader 0: 97%|█████████▋| 34/35 [00:09<00:00, 3.64it/s]Testing DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.70it/s]min all_preds 5.345217e-05
max all_preds 0.9820986
Shapeeeeeee
(1378,) (1378,)
[0.02288496 0.14975843 0.06643675 ... 0.02407182 0.02699296 0.02418988]
[0. 0. 0. ... 0. 0. 0.]
[0 0 0 ... 0 0 0]
Testing DataLoader 0: 100%|██████████| 35/35 [00:09<00:00, 3.69it/s]
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Test metric DataLoader 0
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
AUPR 0.3459501595669411
AUROC 0.7699303632855106
F1Score 0.6091413752583168
Top1Accuracy 0.8933236574746009
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
wandb: Waiting for W&B process to finish... (success).
wandb: - 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: \ 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: | 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: / 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: - 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: \ 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: | 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: / 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: - 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: \ 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb: | 0.028 MB of 0.028 MB uploaded (0.000 MB deduped)wandb:
wandb: Run history:
wandb: AUPR ▁
wandb: AUROC ▁
wandb: F1Score ▁
wandb: Top1Accuracy ▁
wandb: epoch ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇█
wandb: loss ▇▇█▃▃▃▃▃▃▂▃▃▂▂▃▃▃▂▂▃▂▃▃▂▃▂▁▂▄▂▂▂▁▂▂▁▂▂▁▃
wandb: score ▁▂▃▄▆▇▇▇█████
wandb: trainer/global_step ▁▁▁▁▂▂▂▂▂▂▃▃▃▃▄▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
wandb:
wandb: Run summary:
wandb: AUPR 0.34595
wandb: AUROC 0.76993
wandb: F1Score 0.60914
wandb: Top1Accuracy 0.89332
wandb: epoch 13
wandb: loss 0.34761
wandb: score 0.71566
wandb: trainer/global_step 2158
wandb:
wandb: 🚀 View run MBertLstm at: https://wandb.ai/abr-ehr/arf_12.0_MBertLstm/runs/8udjk7oa
wandb: Synced 5 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20230331_053842-8udjk7oa/logs