source_code/sam3/checkpoints_4class/train.log

W1229 07:40:29.157000 1920660 site-packages/torch/distributed/run.py:766] 
W1229 07:40:29.157000 1920660 site-packages/torch/distributed/run.py:766] *****************************************
W1229 07:40:29.157000 1920660 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W1229 07:40:29.157000 1920660 site-packages/torch/distributed/run.py:766] *****************************************
NCCL version 2.26.2+cuda12.2
BraTS train set: 85 casesBraTS train set: 85 cases

BraTS train set: 85 cases
BraTS train set: 85 casesBraTS train set: 85 casesBraTS train set: 85 casesBraTS train set: 85 cases



BraTS train set: 85 cases
BraTS val set: 12 cases
BraTS val set: 12 cases
BraTS val set: 12 cases
BraTS val set: 12 casesBraTS val set: 12 cases

BraTS val set: 12 cases
BraTS val set: 12 cases
BraTS val set: 12 cases
Loading SAM3 video model...
INFO 2025-12-29 07:40:42,136 1920758 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 07:40:42,145 1920754 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 07:40:42,149 1920755 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 07:40:42,214 1920753 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 07:40:42,247 1920756 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 07:40:42,316 1920757 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 07:40:42,354 1920759 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 07:40:42,355 1920760 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
Applied LoRA to 159 layers
Applied LoRA to 159 layers
Applied LoRA to 159 layers
Applied LoRA to 159 layers
Applied LoRA to 159 layers
Applying LoRA to detector: rank=8, alpha=16.0, targets=['q_proj', 'k_proj', 'v_proj', 'out_proj', 'qkv', 'proj']
Applied LoRA to 159 layers
Params total=853,537,202 trainable=5,225,340 ratio=0.6122%
Applied LoRA to 159 layers
Applied LoRA to 159 layers
Output dir: /root/githubs/sam3/checkpoints_4class
World size: 8

Epoch 0:   0%|          | 0/10 [00:00<?, ?it/s]/root/miniforge/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [4, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [4, 32, 1, 1], strides() = [32, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/root/miniforge/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [4, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [4, 32, 1, 1], strides() = [32, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/root/miniforge/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [4, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [4, 32, 1, 1], strides() = [32, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/root/miniforge/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [4, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [4, 32, 1, 1], strides() = [32, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/root/miniforge/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [4, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [4, 32, 1, 1], strides() = [32, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/root/miniforge/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [4, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [4, 32, 1, 1], strides() = [32, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/root/miniforge/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [4, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [4, 32, 1, 1], strides() = [32, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/root/miniforge/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [4, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [4, 32, 1, 1], strides() = [32, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass

Epoch 0:   0%|          | 0/10 [00:10<?, ?it/s, loss=1.2920, dice=0.0117]
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Epoch 0:  70%|███████   | 7/10 [01:25<00:31, 10.60s/it, loss=1.2074, dice=0.0796]
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Epoch 0:  80%|████████  | 8/10 [01:35<00:21, 10.58s/it, loss=1.1966, dice=0.0895]
Epoch 0:  90%|█████████ | 9/10 [01:35<00:10, 10.56s/it, loss=1.1966, dice=0.0895]
Epoch 0:  90%|█████████ | 9/10 [01:46<00:10, 10.56s/it, loss=1.1862, dice=0.1029]
Epoch 0: 100%|██████████| 10/10 [01:46<00:00, 10.56s/it, loss=1.1862, dice=0.1029]
Epoch 0: 100%|██████████| 10/10 [01:46<00:00, 10.62s/it, loss=1.1862, dice=0.1029]
Epoch 0: train_loss=1.1862, train_dice=0.1029

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Epoch 0: val_loss=1.1773, val_dice=0.0762
  New best val dice: 0.0762
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 1:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=1.0656, dice=0.1699]
Epoch 1:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=1.0656, dice=0.1699]
Epoch 1:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=1.0640, dice=0.1752]
Epoch 1:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=1.0640, dice=0.1752]
Epoch 1:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=1.0567, dice=0.1853]
Epoch 1: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=1.0567, dice=0.1853]
Epoch 1: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=1.0567, dice=0.1853]
Epoch 1: train_loss=1.0567, train_dice=0.1853

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 1: val_loss=1.1155, val_dice=0.1638
  New best val dice: 0.1638
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

Epoch 2:   0%|          | 0/10 [00:00<?, ?it/s]
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Epoch 2:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=1.0034, dice=0.2480]
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Epoch 2:  80%|████████  | 8/10 [01:34<00:21, 10.57s/it, loss=0.9951, dice=0.2646]
Epoch 2:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.9951, dice=0.2646]
Epoch 2:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.9887, dice=0.2807]
Epoch 2: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.9887, dice=0.2807]
Epoch 2: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.9887, dice=0.2807]
Epoch 2: train_loss=0.9887, train_dice=0.2807

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Epoch 2: val_loss=1.0205, val_dice=0.2371
  New best val dice: 0.2371
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 3: train_loss=0.9465, train_dice=0.3954

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Epoch 3: val_loss=0.9626, val_dice=0.3079
  New best val dice: 0.3079
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 4: train_loss=0.9325, train_dice=0.4039

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Epoch 4: val_loss=0.9434, val_dice=0.3222
  New best val dice: 0.3222
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 5: train_loss=0.9313, train_dice=0.3727

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Epoch 5: val_loss=0.9265, val_dice=0.3446
  New best val dice: 0.3446
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 6: train_loss=0.9056, train_dice=0.4566

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Epoch 6: val_loss=0.9123, val_dice=0.4802
  New best val dice: 0.4802
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 7: train_loss=0.8966, train_dice=0.5473

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Epoch 7: val_loss=0.9010, val_dice=0.5645
  New best val dice: 0.5645
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 8: train_loss=0.8921, train_dice=0.5567

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Epoch 8: val_loss=0.8843, val_dice=0.6093
  New best val dice: 0.6093
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 9: train_loss=0.8680, train_dice=0.6436

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Epoch 9: val_loss=0.8699, val_dice=0.6415
  New best val dice: 0.6415
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 10: train_loss=0.8697, train_dice=0.6340

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Epoch 10: val_loss=0.8602, val_dice=0.6387

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Epoch 11: train_loss=0.8347, train_dice=0.7144

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Epoch 11: val_loss=0.8503, val_dice=0.6486
  New best val dice: 0.6486
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 12: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.8536, dice=0.6248]
Epoch 12: train_loss=0.8536, train_dice=0.6248

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Epoch 12: val_loss=0.8455, val_dice=0.6542
  New best val dice: 0.6542
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 13: train_loss=0.8350, train_dice=0.6487

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Epoch 13: val_loss=0.8392, val_dice=0.6537

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Epoch 14: train_loss=0.8312, train_dice=0.6693

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Epoch 14: val_loss=0.8369, val_dice=0.6553
  New best val dice: 0.6553
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 15: train_loss=0.8162, train_dice=0.7131

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Epoch 15: val_loss=0.8237, val_dice=0.6605
  New best val dice: 0.6605
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 16: train_loss=0.8162, train_dice=0.6822

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Epoch 16: val_loss=0.8251, val_dice=0.6639
  New best val dice: 0.6639
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 17: train_loss=0.8203, train_dice=0.7024

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Epoch 17: val_loss=0.8197, val_dice=0.6599

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Epoch 18: train_loss=0.8185, train_dice=0.6557

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Epoch 18: val_loss=0.8099, val_dice=0.6686
  New best val dice: 0.6686
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 19: train_loss=0.8044, train_dice=0.7467

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Epoch 19: val_loss=0.8107, val_dice=0.6532

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Epoch 20: train_loss=0.7828, train_dice=0.7852

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Epoch 20: val_loss=0.8012, val_dice=0.6613

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Epoch 21: train_loss=0.8021, train_dice=0.6964

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Epoch 21: val_loss=0.7989, val_dice=0.6672

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Epoch 22: train_loss=0.7953, train_dice=0.6617

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Epoch 22: val_loss=0.7957, val_dice=0.6614

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Epoch 23: train_loss=0.7904, train_dice=0.7108

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Epoch 23: val_loss=0.7932, val_dice=0.6629

Epoch 24:   0%|          | 0/10 [00:00<?, ?it/s]
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Epoch 24:  20%|██        | 2/10 [00:21<01:24, 10.54s/it, loss=0.7675, dice=0.7790]
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Epoch 24:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.7624, dice=0.7110]
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Epoch 24:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.7710, dice=0.6599]
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Epoch 24:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7628, dice=0.6865]
Epoch 24:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7628, dice=0.6865]
Epoch 24:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7612, dice=0.6992]
Epoch 24:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7612, dice=0.6992]
Epoch 24:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7649, dice=0.7103]
Epoch 24: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7649, dice=0.7103]
Epoch 24: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7649, dice=0.7103]
Epoch 24: train_loss=0.7649, train_dice=0.7103

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Epoch 24: val_loss=0.7886, val_dice=0.6510

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Epoch 25:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.7619, dice=0.7922]
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Epoch 25:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.7661, dice=0.7952]
Epoch 25:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.7661, dice=0.7952]
Epoch 25:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.7627, dice=0.7494]
Epoch 25:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.7627, dice=0.7494]
Epoch 25:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.7726, dice=0.6849]
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Epoch 25:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7784, dice=0.6870]
Epoch 25:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7784, dice=0.6870]
Epoch 25:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7742, dice=0.6672]
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Epoch 25:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7778, dice=0.6656]
Epoch 25: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7778, dice=0.6656]
Epoch 25: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7778, dice=0.6656]
Epoch 25: train_loss=0.7778, train_dice=0.6656

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.78s/it]
Epoch 25: val_loss=0.7890, val_dice=0.6435

Epoch 26:   0%|          | 0/10 [00:00<?, ?it/s]
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Epoch 26:  20%|██        | 2/10 [00:31<01:24, 10.58s/it, loss=0.7569, dice=0.7316]
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Epoch 26:  30%|███       | 3/10 [00:42<01:13, 10.54s/it, loss=0.7628, dice=0.6928]
Epoch 26:  40%|████      | 4/10 [00:42<01:03, 10.56s/it, loss=0.7628, dice=0.6928]
Epoch 26:  40%|████      | 4/10 [00:52<01:03, 10.56s/it, loss=0.7652, dice=0.7172]
Epoch 26:  50%|█████     | 5/10 [00:52<00:52, 10.56s/it, loss=0.7652, dice=0.7172]
Epoch 26:  50%|█████     | 5/10 [01:03<00:52, 10.56s/it, loss=0.7733, dice=0.6576]
Epoch 26:  60%|██████    | 6/10 [01:03<00:42, 10.56s/it, loss=0.7733, dice=0.6576]
Epoch 26:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.7724, dice=0.6754]
Epoch 26:  70%|███████   | 7/10 [01:13<00:31, 10.56s/it, loss=0.7724, dice=0.6754]
Epoch 26:  70%|███████   | 7/10 [01:24<00:31, 10.56s/it, loss=0.7814, dice=0.6540]
Epoch 26:  80%|████████  | 8/10 [01:24<00:21, 10.56s/it, loss=0.7814, dice=0.6540]
Epoch 26:  80%|████████  | 8/10 [01:35<00:21, 10.56s/it, loss=0.7833, dice=0.6712]
Epoch 26:  90%|█████████ | 9/10 [01:35<00:10, 10.56s/it, loss=0.7833, dice=0.6712]
Epoch 26:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.7849, dice=0.6841]
Epoch 26: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7849, dice=0.6841]
Epoch 26: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7849, dice=0.6841]
Epoch 26: train_loss=0.7849, train_dice=0.6841

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 26: val_loss=0.7866, val_dice=0.6609

Epoch 27:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 27:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7349, dice=0.8182]
Epoch 27:  10%|█         | 1/10 [00:10<01:34, 10.50s/it, loss=0.7349, dice=0.8182]
Epoch 27:  10%|█         | 1/10 [00:21<01:34, 10.50s/it, loss=0.7570, dice=0.8131]
Epoch 27:  20%|██        | 2/10 [00:21<01:24, 10.59s/it, loss=0.7570, dice=0.8131]
Epoch 27:  20%|██        | 2/10 [00:31<01:24, 10.59s/it, loss=0.7499, dice=0.8010]
Epoch 27:  30%|███       | 3/10 [00:31<01:14, 10.58s/it, loss=0.7499, dice=0.8010]
Epoch 27:  30%|███       | 3/10 [00:42<01:14, 10.58s/it, loss=0.7627, dice=0.7869]
Epoch 27:  40%|████      | 4/10 [00:42<01:03, 10.58s/it, loss=0.7627, dice=0.7869]
Epoch 27:  40%|████      | 4/10 [00:52<01:03, 10.58s/it, loss=0.7591, dice=0.7858]
Epoch 27:  50%|█████     | 5/10 [00:52<00:52, 10.57s/it, loss=0.7591, dice=0.7858]
Epoch 27:  50%|█████     | 5/10 [01:03<00:52, 10.57s/it, loss=0.7722, dice=0.7447]
Epoch 27:  60%|██████    | 6/10 [01:03<00:42, 10.56s/it, loss=0.7722, dice=0.7447]
Epoch 27:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.7646, dice=0.7571]
Epoch 27:  70%|███████   | 7/10 [01:13<00:31, 10.56s/it, loss=0.7646, dice=0.7571]
Epoch 27:  70%|███████   | 7/10 [01:24<00:31, 10.56s/it, loss=0.7625, dice=0.7738]
Epoch 27:  80%|████████  | 8/10 [01:24<00:21, 10.56s/it, loss=0.7625, dice=0.7738]
Epoch 27:  80%|████████  | 8/10 [01:35<00:21, 10.56s/it, loss=0.7617, dice=0.7808]
Epoch 27:  90%|█████████ | 9/10 [01:35<00:10, 10.56s/it, loss=0.7617, dice=0.7808]
Epoch 27:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.7580, dice=0.7863]
Epoch 27: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7580, dice=0.7863]
Epoch 27: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7580, dice=0.7863]
Epoch 27: train_loss=0.7580, train_dice=0.7863

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 27: val_loss=0.7820, val_dice=0.6535

Epoch 28:   0%|          | 0/10 [00:00<?, ?it/s]
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Epoch 28:  10%|█         | 1/10 [00:21<01:34, 10.55s/it, loss=0.7391, dice=0.8209]
Epoch 28:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.7391, dice=0.8209]
Epoch 28:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.7526, dice=0.7681]
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Epoch 28:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.7670, dice=0.7523]
Epoch 28:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.7670, dice=0.7523]
Epoch 28:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.7677, dice=0.7551]
Epoch 28:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.7677, dice=0.7551]
Epoch 28:  50%|█████     | 5/10 [01:03<00:52, 10.51s/it, loss=0.7710, dice=0.7643]
Epoch 28:  60%|██████    | 6/10 [01:03<00:42, 10.52s/it, loss=0.7710, dice=0.7643]
Epoch 28:  60%|██████    | 6/10 [01:13<00:42, 10.52s/it, loss=0.7729, dice=0.7513]
Epoch 28:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7729, dice=0.7513]
Epoch 28:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7722, dice=0.7593]
Epoch 28:  80%|████████  | 8/10 [01:24<00:21, 10.56s/it, loss=0.7722, dice=0.7593]
Epoch 28:  80%|████████  | 8/10 [01:34<00:21, 10.56s/it, loss=0.7702, dice=0.7552]
Epoch 28:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.7702, dice=0.7552]
Epoch 28:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.7676, dice=0.7647]
Epoch 28: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7676, dice=0.7647]
Epoch 28: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7676, dice=0.7647]
Epoch 28: train_loss=0.7676, train_dice=0.7647

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Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.76s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 28: val_loss=0.7777, val_dice=0.6509

Epoch 29:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 29:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7248, dice=0.8821]
Epoch 29:  10%|█         | 1/10 [00:10<01:34, 10.51s/it, loss=0.7248, dice=0.8821]
Epoch 29:  10%|█         | 1/10 [00:20<01:34, 10.51s/it, loss=0.7184, dice=0.8626]
Epoch 29:  20%|██        | 2/10 [00:20<01:23, 10.49s/it, loss=0.7184, dice=0.8626]
Epoch 29:  20%|██        | 2/10 [00:31<01:23, 10.49s/it, loss=0.7288, dice=0.8558]
Epoch 29:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.7288, dice=0.8558]
Epoch 29:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.7381, dice=0.7479]
Epoch 29:  40%|████      | 4/10 [00:42<01:03, 10.51s/it, loss=0.7381, dice=0.7479]
Epoch 29:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.7399, dice=0.7541]
Epoch 29:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.7399, dice=0.7541]
Epoch 29:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.7466, dice=0.7166]
Epoch 29:  60%|██████    | 6/10 [01:03<00:42, 10.57s/it, loss=0.7466, dice=0.7166]
Epoch 29:  60%|██████    | 6/10 [01:13<00:42, 10.57s/it, loss=0.7439, dice=0.7256]
Epoch 29:  70%|███████   | 7/10 [01:13<00:31, 10.56s/it, loss=0.7439, dice=0.7256]
Epoch 29:  70%|███████   | 7/10 [01:24<00:31, 10.56s/it, loss=0.7485, dice=0.7367]
Epoch 29:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7485, dice=0.7367]
Epoch 29:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7506, dice=0.7409]
Epoch 29:  90%|█████████ | 9/10 [01:34<00:10, 10.56s/it, loss=0.7506, dice=0.7409]
Epoch 29:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.7474, dice=0.7503]
Epoch 29: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.7474, dice=0.7503]
Epoch 29: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7474, dice=0.7503]
Epoch 29: train_loss=0.7474, train_dice=0.7503

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:17,  1.79s/it]
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Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
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Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 29: val_loss=0.7729, val_dice=0.6526

Epoch 30:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 30:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7750, dice=0.5615]
Epoch 30:  10%|█         | 1/10 [00:10<01:34, 10.46s/it, loss=0.7750, dice=0.5615]
Epoch 30:  10%|█         | 1/10 [00:20<01:34, 10.46s/it, loss=0.7877, dice=0.6606]
Epoch 30:  20%|██        | 2/10 [00:20<01:23, 10.47s/it, loss=0.7877, dice=0.6606]
Epoch 30:  20%|██        | 2/10 [00:31<01:23, 10.47s/it, loss=0.7631, dice=0.7344]
Epoch 30:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.7631, dice=0.7344]
Epoch 30:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.7591, dice=0.7614]
Epoch 30:  40%|████      | 4/10 [00:42<01:03, 10.54s/it, loss=0.7591, dice=0.7614]
Epoch 30:  40%|████      | 4/10 [00:52<01:03, 10.54s/it, loss=0.7660, dice=0.7444]
Epoch 30:  50%|█████     | 5/10 [00:52<00:52, 10.54s/it, loss=0.7660, dice=0.7444]
Epoch 30:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.7632, dice=0.7600]
Epoch 30:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.7632, dice=0.7600]
Epoch 30:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.7635, dice=0.7606]
Epoch 30:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.7635, dice=0.7606]
Epoch 30:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.7596, dice=0.7651]
Epoch 30:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7596, dice=0.7651]
Epoch 30:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7653, dice=0.7575]
Epoch 30:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7653, dice=0.7575]
Epoch 30:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7572, dice=0.7691]
Epoch 30: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7572, dice=0.7691]
Epoch 30: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7572, dice=0.7691]
Epoch 30: train_loss=0.7572, train_dice=0.7691

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.75s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:17,  1.79s/it]
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Validating:  50%|█████     | 6/12 [00:10<00:10,  1.76s/it]
Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.76s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.79s/it]
Validating:  75%|███████▌  | 9/12 [00:16<00:05,  1.79s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.78s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 30: val_loss=0.7721, val_dice=0.6506

Epoch 31:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 31:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7117, dice=0.8779]
Epoch 31:  10%|█         | 1/10 [00:10<01:34, 10.53s/it, loss=0.7117, dice=0.8779]
Epoch 31:  10%|█         | 1/10 [00:21<01:34, 10.53s/it, loss=0.7327, dice=0.8375]
Epoch 31:  20%|██        | 2/10 [00:21<01:24, 10.50s/it, loss=0.7327, dice=0.8375]
Epoch 31:  20%|██        | 2/10 [00:31<01:24, 10.50s/it, loss=0.7563, dice=0.7944]
Epoch 31:  30%|███       | 3/10 [00:31<01:13, 10.54s/it, loss=0.7563, dice=0.7944]
Epoch 31:  30%|███       | 3/10 [00:42<01:13, 10.54s/it, loss=0.7708, dice=0.6867]
Epoch 31:  40%|████      | 4/10 [00:42<01:03, 10.56s/it, loss=0.7708, dice=0.6867]
Epoch 31:  40%|████      | 4/10 [00:52<01:03, 10.56s/it, loss=0.7699, dice=0.6654]
Epoch 31:  50%|█████     | 5/10 [00:52<00:52, 10.57s/it, loss=0.7699, dice=0.6654]
Epoch 31:  50%|█████     | 5/10 [01:03<00:52, 10.57s/it, loss=0.7689, dice=0.6935]
Epoch 31:  60%|██████    | 6/10 [01:03<00:42, 10.57s/it, loss=0.7689, dice=0.6935]
Epoch 31:  60%|██████    | 6/10 [01:13<00:42, 10.57s/it, loss=0.7598, dice=0.7189]
Epoch 31:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7598, dice=0.7189]
Epoch 31:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7563, dice=0.7282]
Epoch 31:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7563, dice=0.7282]
Epoch 31:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7593, dice=0.7368]
Epoch 31:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7593, dice=0.7368]
Epoch 31:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7578, dice=0.7485]
Epoch 31: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7578, dice=0.7485]
Epoch 31: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7578, dice=0.7485]
Epoch 31: train_loss=0.7578, train_dice=0.7485

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.75s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:17,  1.78s/it]
Validating:  25%|██▌       | 3/12 [00:05<00:15,  1.77s/it]
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Validating:  50%|█████     | 6/12 [00:10<00:10,  1.76s/it]
Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.76s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.77s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 31: val_loss=0.7702, val_dice=0.6545

Epoch 32:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 32:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.8231, dice=0.5207]
Epoch 32:  10%|█         | 1/10 [00:10<01:34, 10.53s/it, loss=0.8231, dice=0.5207]
Epoch 32:  10%|█         | 1/10 [00:21<01:34, 10.53s/it, loss=0.8054, dice=0.4899]
Epoch 32:  20%|██        | 2/10 [00:21<01:24, 10.52s/it, loss=0.8054, dice=0.4899]
Epoch 32:  20%|██        | 2/10 [00:31<01:24, 10.52s/it, loss=0.7904, dice=0.5809]
Epoch 32:  30%|███       | 3/10 [00:31<01:13, 10.53s/it, loss=0.7904, dice=0.5809]
Epoch 32:  30%|███       | 3/10 [00:42<01:13, 10.53s/it, loss=0.7936, dice=0.5366]
Epoch 32:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.7936, dice=0.5366]
Epoch 32:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.7842, dice=0.5981]
Epoch 32:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.7842, dice=0.5981]
Epoch 32:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.7802, dice=0.6368]
Epoch 32:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.7802, dice=0.6368]
Epoch 32:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.7734, dice=0.6679]
Epoch 32:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7734, dice=0.6679]
Epoch 32:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7711, dice=0.6381]
Epoch 32:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7711, dice=0.6381]
Epoch 32:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7670, dice=0.6552]
Epoch 32:  90%|█████████ | 9/10 [01:34<00:10, 10.57s/it, loss=0.7670, dice=0.6552]
Epoch 32:  90%|█████████ | 9/10 [01:45<00:10, 10.57s/it, loss=0.7645, dice=0.6712]
Epoch 32: 100%|██████████| 10/10 [01:45<00:00, 10.58s/it, loss=0.7645, dice=0.6712]
Epoch 32: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7645, dice=0.6712]
Epoch 32: train_loss=0.7645, train_dice=0.6712

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
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Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.76s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.77s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 32: val_loss=0.7674, val_dice=0.6583

Epoch 33:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 33:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7590, dice=0.7791]
Epoch 33:  10%|█         | 1/10 [00:10<01:34, 10.54s/it, loss=0.7590, dice=0.7791]
Epoch 33:  10%|█         | 1/10 [00:21<01:34, 10.54s/it, loss=0.7589, dice=0.8118]
Epoch 33:  20%|██        | 2/10 [00:21<01:24, 10.58s/it, loss=0.7589, dice=0.8118]
Epoch 33:  20%|██        | 2/10 [00:31<01:24, 10.58s/it, loss=0.7516, dice=0.8010]
Epoch 33:  30%|███       | 3/10 [00:31<01:13, 10.56s/it, loss=0.7516, dice=0.8010]
Epoch 33:  30%|███       | 3/10 [00:42<01:13, 10.56s/it, loss=0.7459, dice=0.7803]
Epoch 33:  40%|████      | 4/10 [00:42<01:03, 10.55s/it, loss=0.7459, dice=0.7803]
Epoch 33:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.7551, dice=0.7648]
Epoch 33:  50%|█████     | 5/10 [00:52<00:52, 10.56s/it, loss=0.7551, dice=0.7648]
Epoch 33:  50%|█████     | 5/10 [01:03<00:52, 10.56s/it, loss=0.7555, dice=0.7652]
Epoch 33:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.7555, dice=0.7652]
Epoch 33:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.7487, dice=0.7758]
Epoch 33:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.7487, dice=0.7758]
Epoch 33:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.7546, dice=0.7341]
Epoch 33:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.7546, dice=0.7341]
Epoch 33:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.7547, dice=0.7427]
Epoch 33:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.7547, dice=0.7427]
Epoch 33:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.7532, dice=0.7538]
Epoch 33: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7532, dice=0.7538]
Epoch 33: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7532, dice=0.7538]
Epoch 33: train_loss=0.7532, train_dice=0.7538

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.75s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.74s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.76s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.75s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Epoch 33: val_loss=0.7644, val_dice=0.6639

Epoch 34:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 34:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7540, dice=0.8112]
Epoch 34:  10%|█         | 1/10 [00:10<01:34, 10.52s/it, loss=0.7540, dice=0.8112]
Epoch 34:  10%|█         | 1/10 [00:21<01:34, 10.52s/it, loss=0.7404, dice=0.8022]
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Epoch 34:  20%|██        | 2/10 [00:31<01:24, 10.52s/it, loss=0.7621, dice=0.6418]
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Epoch 34: train_loss=0.7554, train_dice=0.7184

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Epoch 34: val_loss=0.7638, val_dice=0.6604

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Epoch 35: train_loss=0.7461, train_dice=0.7439

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Epoch 35: val_loss=0.7607, val_dice=0.6678

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Epoch 36: train_loss=0.7645, train_dice=0.7361

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Epoch 36: val_loss=0.7597, val_dice=0.6644

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Epoch 37: train_loss=0.7373, train_dice=0.7284

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Epoch 37: val_loss=0.7564, val_dice=0.6698
  New best val dice: 0.6698
Saved LoRA weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints_4class/checkpoints/best_decoder_weights.pt

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Epoch 38: train_loss=0.7433, train_dice=0.7570

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Epoch 38: val_loss=0.7536, val_dice=0.6615

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Epoch 39:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.7477, dice=0.6993]
Epoch 39:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.7474, dice=0.7241]
Epoch 39:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.7474, dice=0.7241]
Epoch 39:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.7486, dice=0.7158]
Epoch 39:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7486, dice=0.7158]
Epoch 39:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7444, dice=0.7264]
Epoch 39:  80%|████████  | 8/10 [01:24<00:21, 10.57s/it, loss=0.7444, dice=0.7264]
Epoch 39:  80%|████████  | 8/10 [01:34<00:21, 10.57s/it, loss=0.7417, dice=0.7457]
Epoch 39:  90%|█████████ | 9/10 [01:34<00:10, 10.58s/it, loss=0.7417, dice=0.7457]
Epoch 39:  90%|█████████ | 9/10 [01:45<00:10, 10.58s/it, loss=0.7432, dice=0.7246]
Epoch 39: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.7432, dice=0.7246]
Epoch 39: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7432, dice=0.7246]
Epoch 39: train_loss=0.7432, train_dice=0.7246

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:18,  1.81s/it]
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Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.77s/it]
Validating:  75%|███████▌  | 9/12 [00:16<00:05,  1.78s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.78s/it]
Epoch 39: val_loss=0.7545, val_dice=0.6537

Epoch 40:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 40:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7898, dice=0.7138]
Epoch 40:  10%|█         | 1/10 [00:10<01:34, 10.51s/it, loss=0.7898, dice=0.7138]
Epoch 40:  10%|█         | 1/10 [00:21<01:34, 10.51s/it, loss=0.7567, dice=0.7176]
Epoch 40:  20%|██        | 2/10 [00:21<01:24, 10.52s/it, loss=0.7567, dice=0.7176]
Epoch 40:  20%|██        | 2/10 [00:31<01:24, 10.52s/it, loss=0.7434, dice=0.7693]
Epoch 40:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.7434, dice=0.7693]
Epoch 40:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.7366, dice=0.7791]
Epoch 40:  40%|████      | 4/10 [00:42<01:03, 10.51s/it, loss=0.7366, dice=0.7791]
Epoch 40:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.7343, dice=0.7816]
Epoch 40:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.7343, dice=0.7816]
Epoch 40:  50%|█████     | 5/10 [01:03<00:52, 10.51s/it, loss=0.7377, dice=0.7429]
Epoch 40:  60%|██████    | 6/10 [01:03<00:42, 10.52s/it, loss=0.7377, dice=0.7429]
Epoch 40:  60%|██████    | 6/10 [01:13<00:42, 10.52s/it, loss=0.7372, dice=0.7505]
Epoch 40:  70%|███████   | 7/10 [01:13<00:31, 10.51s/it, loss=0.7372, dice=0.7505]
Epoch 40:  70%|███████   | 7/10 [01:24<00:31, 10.51s/it, loss=0.7443, dice=0.7564]
Epoch 40:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.7443, dice=0.7564]
Epoch 40:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.7482, dice=0.7518]
Epoch 40:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7482, dice=0.7518]
Epoch 40:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7431, dice=0.7624]
Epoch 40: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7431, dice=0.7624]
Epoch 40: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7431, dice=0.7624]
Epoch 40: train_loss=0.7431, train_dice=0.7624

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.74s/it]
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Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.75s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.78s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 40: val_loss=0.7517, val_dice=0.6549

Epoch 41:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 41:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7822, dice=0.7367]
Epoch 41:  10%|█         | 1/10 [00:10<01:34, 10.45s/it, loss=0.7822, dice=0.7367]
Epoch 41:  10%|█         | 1/10 [00:20<01:34, 10.45s/it, loss=0.7547, dice=0.7960]
Epoch 41:  20%|██        | 2/10 [00:20<01:23, 10.46s/it, loss=0.7547, dice=0.7960]
Epoch 41:  20%|██        | 2/10 [00:31<01:23, 10.46s/it, loss=0.7517, dice=0.7924]
Epoch 41:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.7517, dice=0.7924]
Epoch 41:  30%|███       | 3/10 [00:41<01:13, 10.51s/it, loss=0.7528, dice=0.8016]
Epoch 41:  40%|████      | 4/10 [00:41<01:03, 10.51s/it, loss=0.7528, dice=0.8016]
Epoch 41:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.7465, dice=0.7979]
Epoch 41:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.7465, dice=0.7979]
Epoch 41:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.7492, dice=0.7811]
Epoch 41:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.7492, dice=0.7811]
Epoch 41:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.7470, dice=0.7838]
Epoch 41:  70%|███████   | 7/10 [01:13<00:31, 10.52s/it, loss=0.7470, dice=0.7838]
Epoch 41:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.7492, dice=0.7885]
Epoch 41:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.7492, dice=0.7885]
Epoch 41:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.7510, dice=0.7572]
Epoch 41:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7510, dice=0.7572]
Epoch 41:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7468, dice=0.7632]
Epoch 41: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7468, dice=0.7632]
Epoch 41: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7468, dice=0.7632]
Epoch 41: train_loss=0.7468, train_dice=0.7632

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.75s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:17,  1.78s/it]
Validating:  25%|██▌       | 3/12 [00:05<00:15,  1.76s/it]
Validating:  33%|███▎      | 4/12 [00:07<00:14,  1.78s/it]
Validating:  42%|████▏     | 5/12 [00:08<00:12,  1.77s/it]
Validating:  50%|█████     | 6/12 [00:10<00:10,  1.76s/it]
Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.76s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.76s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 41: val_loss=0.7520, val_dice=0.6608

Epoch 42:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 42:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7267, dice=0.7425]
Epoch 42:  10%|█         | 1/10 [00:10<01:34, 10.49s/it, loss=0.7267, dice=0.7425]
Epoch 42:  10%|█         | 1/10 [00:21<01:34, 10.49s/it, loss=0.7228, dice=0.7338]
Epoch 42:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.7228, dice=0.7338]
Epoch 42:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.7143, dice=0.7647]
Epoch 42:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.7143, dice=0.7647]
Epoch 42:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.7171, dice=0.7885]
Epoch 42:  40%|████      | 4/10 [00:42<01:03, 10.53s/it, loss=0.7171, dice=0.7885]
Epoch 42:  40%|████      | 4/10 [00:52<01:03, 10.53s/it, loss=0.7276, dice=0.7857]
Epoch 42:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.7276, dice=0.7857]
Epoch 42:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.7289, dice=0.7842]
Epoch 42:  60%|██████    | 6/10 [01:03<00:42, 10.52s/it, loss=0.7289, dice=0.7842]
Epoch 42:  60%|██████    | 6/10 [01:13<00:42, 10.52s/it, loss=0.7333, dice=0.7907]
Epoch 42:  70%|███████   | 7/10 [01:13<00:31, 10.53s/it, loss=0.7333, dice=0.7907]
Epoch 42:  70%|███████   | 7/10 [01:24<00:31, 10.53s/it, loss=0.7276, dice=0.7600]
Epoch 42:  80%|████████  | 8/10 [01:24<00:21, 10.61s/it, loss=0.7276, dice=0.7600]
Epoch 42:  80%|████████  | 8/10 [01:34<00:21, 10.61s/it, loss=0.7270, dice=0.7631]
Epoch 42:  90%|█████████ | 9/10 [01:34<00:10, 10.58s/it, loss=0.7270, dice=0.7631]
Epoch 42:  90%|█████████ | 9/10 [01:45<00:10, 10.58s/it, loss=0.7211, dice=0.7705]
Epoch 42: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.7211, dice=0.7705]
Epoch 42: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7211, dice=0.7705]
Epoch 42: train_loss=0.7211, train_dice=0.7705

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.74s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:17,  1.78s/it]
Validating:  25%|██▌       | 3/12 [00:05<00:15,  1.76s/it]
Validating:  33%|███▎      | 4/12 [00:07<00:14,  1.78s/it]
Validating:  42%|████▏     | 5/12 [00:08<00:12,  1.76s/it]
Validating:  50%|█████     | 6/12 [00:10<00:10,  1.75s/it]
Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.75s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.74s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.76s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.76s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 42: val_loss=0.7482, val_dice=0.6548

Epoch 43:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 43:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7133, dice=0.8721]
Epoch 43:  10%|█         | 1/10 [00:10<01:35, 10.57s/it, loss=0.7133, dice=0.8721]
Epoch 43:  10%|█         | 1/10 [00:21<01:35, 10.57s/it, loss=0.7374, dice=0.7873]
Epoch 43:  20%|██        | 2/10 [00:21<01:24, 10.56s/it, loss=0.7374, dice=0.7873]
Epoch 43:  20%|██        | 2/10 [00:31<01:24, 10.56s/it, loss=0.7474, dice=0.6745]
Epoch 43:  30%|███       | 3/10 [00:31<01:14, 10.58s/it, loss=0.7474, dice=0.6745]
Epoch 43:  30%|███       | 3/10 [00:42<01:14, 10.58s/it, loss=0.7477, dice=0.6274]
Epoch 43:  40%|████      | 4/10 [00:42<01:03, 10.56s/it, loss=0.7477, dice=0.6274]
Epoch 43:  40%|████      | 4/10 [00:52<01:03, 10.56s/it, loss=0.7456, dice=0.6665]
Epoch 43:  50%|█████     | 5/10 [00:52<00:52, 10.57s/it, loss=0.7456, dice=0.6665]
Epoch 43:  50%|█████     | 5/10 [01:03<00:52, 10.57s/it, loss=0.7401, dice=0.7016]
Epoch 43:  60%|██████    | 6/10 [01:03<00:42, 10.58s/it, loss=0.7401, dice=0.7016]
Epoch 43:  60%|██████    | 6/10 [01:14<00:42, 10.58s/it, loss=0.7336, dice=0.7280]
Epoch 43:  70%|███████   | 7/10 [01:14<00:31, 10.57s/it, loss=0.7336, dice=0.7280]
Epoch 43:  70%|███████   | 7/10 [01:24<00:31, 10.57s/it, loss=0.7269, dice=0.7464]
Epoch 43:  80%|████████  | 8/10 [01:24<00:21, 10.57s/it, loss=0.7269, dice=0.7464]
Epoch 43:  80%|████████  | 8/10 [01:35<00:21, 10.57s/it, loss=0.7356, dice=0.7027]
Epoch 43:  90%|█████████ | 9/10 [01:35<00:10, 10.55s/it, loss=0.7356, dice=0.7027]
Epoch 43:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7344, dice=0.7071]
Epoch 43: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7344, dice=0.7071]
Epoch 43: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.7344, dice=0.7071]
Epoch 43: train_loss=0.7344, train_dice=0.7071

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:17,  1.78s/it]
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Validating:  50%|█████     | 6/12 [00:10<00:10,  1.76s/it]
Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.76s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.77s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 43: val_loss=0.7501, val_dice=0.6546

Epoch 44:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 44:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7602, dice=0.7135]
Epoch 44:  10%|█         | 1/10 [00:10<01:34, 10.53s/it, loss=0.7602, dice=0.7135]
Epoch 44:  10%|█         | 1/10 [00:21<01:34, 10.53s/it, loss=0.7399, dice=0.7493]
Epoch 44:  20%|██        | 2/10 [00:21<01:24, 10.56s/it, loss=0.7399, dice=0.7493]
Epoch 44:  20%|██        | 2/10 [00:31<01:24, 10.56s/it, loss=0.7465, dice=0.5976]
Epoch 44:  30%|███       | 3/10 [00:31<01:13, 10.53s/it, loss=0.7465, dice=0.5976]
Epoch 44:  30%|███       | 3/10 [00:42<01:13, 10.53s/it, loss=0.7509, dice=0.6563]
Epoch 44:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.7509, dice=0.6563]
Epoch 44:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.7545, dice=0.6611]
Epoch 44:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.7545, dice=0.6611]
Epoch 44:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.7483, dice=0.6720]
Epoch 44:  60%|██████    | 6/10 [01:03<00:42, 10.52s/it, loss=0.7483, dice=0.6720]
Epoch 44:  60%|██████    | 6/10 [01:13<00:42, 10.52s/it, loss=0.7523, dice=0.6843]
Epoch 44:  70%|███████   | 7/10 [01:13<00:31, 10.51s/it, loss=0.7523, dice=0.6843]
Epoch 44:  70%|███████   | 7/10 [01:24<00:31, 10.51s/it, loss=0.7519, dice=0.6687]
Epoch 44:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.7519, dice=0.6687]
Epoch 44:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.7492, dice=0.6888]
Epoch 44:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.7492, dice=0.6888]
Epoch 44:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.7454, dice=0.6963]
Epoch 44: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7454, dice=0.6963]
Epoch 44: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7454, dice=0.6963]
Epoch 44: train_loss=0.7454, train_dice=0.6963

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 44: val_loss=0.7496, val_dice=0.6533

Epoch 45:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 45:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.6551, dice=0.8786]
Epoch 45:  10%|█         | 1/10 [00:10<01:34, 10.49s/it, loss=0.6551, dice=0.8786]
Epoch 45:  10%|█         | 1/10 [00:20<01:34, 10.49s/it, loss=0.6875, dice=0.8643]
Epoch 45:  20%|██        | 2/10 [00:20<01:23, 10.50s/it, loss=0.6875, dice=0.8643]
Epoch 45:  20%|██        | 2/10 [00:31<01:23, 10.50s/it, loss=0.7050, dice=0.8609]
Epoch 45:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.7050, dice=0.8609]
Epoch 45:  30%|███       | 3/10 [00:41<01:13, 10.50s/it, loss=0.7139, dice=0.8533]
Epoch 45:  40%|████      | 4/10 [00:41<01:03, 10.50s/it, loss=0.7139, dice=0.8533]
Epoch 45:  40%|████      | 4/10 [00:52<01:03, 10.50s/it, loss=0.7280, dice=0.8269]
Epoch 45:  50%|█████     | 5/10 [00:52<00:52, 10.56s/it, loss=0.7280, dice=0.8269]
Epoch 45:  50%|█████     | 5/10 [01:03<00:52, 10.56s/it, loss=0.7335, dice=0.7638]
Epoch 45:  60%|██████    | 6/10 [01:03<00:42, 10.56s/it, loss=0.7335, dice=0.7638]
Epoch 45:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.7414, dice=0.7017]
Epoch 45:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7414, dice=0.7017]
Epoch 45:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7344, dice=0.6810]
Epoch 45:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.7344, dice=0.6810]
Epoch 45:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.7243, dice=0.7074]
Epoch 45:  90%|█████████ | 9/10 [01:34<00:10, 10.57s/it, loss=0.7243, dice=0.7074]
Epoch 45:  90%|█████████ | 9/10 [01:45<00:10, 10.57s/it, loss=0.7284, dice=0.7142]
Epoch 45: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.7284, dice=0.7142]
Epoch 45: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7284, dice=0.7142]
Epoch 45: train_loss=0.7284, train_dice=0.7142

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 45: val_loss=0.7499, val_dice=0.6502

Epoch 46:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 46:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7217, dice=0.7424]
Epoch 46:  10%|█         | 1/10 [00:10<01:34, 10.54s/it, loss=0.7217, dice=0.7424]
Epoch 46:  10%|█         | 1/10 [00:21<01:34, 10.54s/it, loss=0.7538, dice=0.6010]
Epoch 46:  20%|██        | 2/10 [00:21<01:24, 10.54s/it, loss=0.7538, dice=0.6010]
Epoch 46:  20%|██        | 2/10 [00:31<01:24, 10.54s/it, loss=0.7458, dice=0.5667]
Epoch 46:  30%|███       | 3/10 [00:31<01:13, 10.56s/it, loss=0.7458, dice=0.5667]
Epoch 46:  30%|███       | 3/10 [00:42<01:13, 10.56s/it, loss=0.7198, dice=0.6548]
Epoch 46:  40%|████      | 4/10 [00:42<01:03, 10.56s/it, loss=0.7198, dice=0.6548]
Epoch 46:  40%|████      | 4/10 [00:52<01:03, 10.56s/it, loss=0.7321, dice=0.6704]
Epoch 46:  50%|█████     | 5/10 [00:52<00:52, 10.56s/it, loss=0.7321, dice=0.6704]
Epoch 46:  50%|█████     | 5/10 [01:03<00:52, 10.56s/it, loss=0.7285, dice=0.7042]
Epoch 46:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.7285, dice=0.7042]
Epoch 46:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.7385, dice=0.6808]
Epoch 46:  70%|███████   | 7/10 [01:13<00:31, 10.57s/it, loss=0.7385, dice=0.6808]
Epoch 46:  70%|███████   | 7/10 [01:24<00:31, 10.57s/it, loss=0.7318, dice=0.7037]
Epoch 46:  80%|████████  | 8/10 [01:24<00:21, 10.56s/it, loss=0.7318, dice=0.7037]
Epoch 46:  80%|████████  | 8/10 [01:35<00:21, 10.56s/it, loss=0.7293, dice=0.7079]
Epoch 46:  90%|█████████ | 9/10 [01:35<00:10, 10.57s/it, loss=0.7293, dice=0.7079]
Epoch 46:  90%|█████████ | 9/10 [01:45<00:10, 10.57s/it, loss=0.7258, dice=0.7199]
Epoch 46: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.7258, dice=0.7199]
Epoch 46: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7258, dice=0.7199]
Epoch 46: train_loss=0.7258, train_dice=0.7199

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 46: val_loss=0.7472, val_dice=0.6566

Epoch 47:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 47:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7446, dice=0.6822]
Epoch 47:  10%|█         | 1/10 [00:10<01:34, 10.51s/it, loss=0.7446, dice=0.6822]
Epoch 47:  10%|█         | 1/10 [00:21<01:34, 10.51s/it, loss=0.7330, dice=0.7228]
Epoch 47:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.7330, dice=0.7228]
Epoch 47:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.7251, dice=0.7532]
Epoch 47:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.7251, dice=0.7532]
Epoch 47:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.7346, dice=0.7558]
Epoch 47:  40%|████      | 4/10 [00:42<01:03, 10.54s/it, loss=0.7346, dice=0.7558]
Epoch 47:  40%|████      | 4/10 [00:52<01:03, 10.54s/it, loss=0.7341, dice=0.6910]
Epoch 47:  50%|█████     | 5/10 [00:52<00:52, 10.54s/it, loss=0.7341, dice=0.6910]
Epoch 47:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.7458, dice=0.6367]
Epoch 47:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.7458, dice=0.6367]
Epoch 47:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.7457, dice=0.6177]
Epoch 47:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7457, dice=0.6177]
Epoch 47:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7483, dice=0.6241]
Epoch 47:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7483, dice=0.6241]
Epoch 47:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7455, dice=0.6494]
Epoch 47:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.7455, dice=0.6494]
Epoch 47:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.7483, dice=0.6308]
Epoch 47: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7483, dice=0.6308]
Epoch 47: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7483, dice=0.6308]
Epoch 47: train_loss=0.7483, train_dice=0.6308

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
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Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.74s/it]
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Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.76s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 47: val_loss=0.7509, val_dice=0.6531

Epoch 48:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 48:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.6936, dice=0.8359]
Epoch 48:  10%|█         | 1/10 [00:10<01:34, 10.51s/it, loss=0.6936, dice=0.8359]
Epoch 48:  10%|█         | 1/10 [00:21<01:34, 10.51s/it, loss=0.7174, dice=0.8280]
Epoch 48:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.7174, dice=0.8280]
Epoch 48:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.6915, dice=0.8577]
Epoch 48:  30%|███       | 3/10 [00:31<01:13, 10.54s/it, loss=0.6915, dice=0.8577]
Epoch 48:  30%|███       | 3/10 [00:42<01:13, 10.54s/it, loss=0.6974, dice=0.8399]
Epoch 48:  40%|████      | 4/10 [00:42<01:03, 10.54s/it, loss=0.6974, dice=0.8399]
Epoch 48:  40%|████      | 4/10 [00:52<01:03, 10.54s/it, loss=0.7097, dice=0.8365]
Epoch 48:  50%|█████     | 5/10 [00:52<00:52, 10.56s/it, loss=0.7097, dice=0.8365]
Epoch 48:  50%|█████     | 5/10 [01:03<00:52, 10.56s/it, loss=0.7116, dice=0.8394]
Epoch 48:  60%|██████    | 6/10 [01:03<00:42, 10.56s/it, loss=0.7116, dice=0.8394]
Epoch 48:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.7151, dice=0.8386]
Epoch 48:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7151, dice=0.8386]
Epoch 48:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7106, dice=0.8429]
Epoch 48:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.7106, dice=0.8429]
Epoch 48:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.7153, dice=0.8260]
Epoch 48:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7153, dice=0.8260]
Epoch 48:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7157, dice=0.8276]
Epoch 48: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7157, dice=0.8276]
Epoch 48: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7157, dice=0.8276]
Epoch 48: train_loss=0.7157, train_dice=0.8276

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.74s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 48: val_loss=0.7455, val_dice=0.6581

Epoch 49:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 49:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7162, dice=0.7844]
Epoch 49:  10%|█         | 1/10 [00:10<01:34, 10.51s/it, loss=0.7162, dice=0.7844]
Epoch 49:  10%|█         | 1/10 [00:20<01:34, 10.51s/it, loss=0.7059, dice=0.7841]
Epoch 49:  20%|██        | 2/10 [00:20<01:23, 10.48s/it, loss=0.7059, dice=0.7841]
Epoch 49:  20%|██        | 2/10 [00:31<01:23, 10.48s/it, loss=0.7215, dice=0.7515]
Epoch 49:  30%|███       | 3/10 [00:31<01:13, 10.49s/it, loss=0.7215, dice=0.7515]
Epoch 49:  30%|███       | 3/10 [00:42<01:13, 10.49s/it, loss=0.7275, dice=0.7312]
Epoch 49:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.7275, dice=0.7312]
Epoch 49:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.7303, dice=0.7502]
Epoch 49:  50%|█████     | 5/10 [00:52<00:52, 10.54s/it, loss=0.7303, dice=0.7502]
Epoch 49:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.7192, dice=0.7642]
Epoch 49:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.7192, dice=0.7642]
Epoch 49:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.7250, dice=0.6956]
Epoch 49:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.7250, dice=0.6956]
Epoch 49:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.7205, dice=0.7148]
Epoch 49:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.7205, dice=0.7148]
Epoch 49:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.7202, dice=0.7294]
Epoch 49:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7202, dice=0.7294]
Epoch 49:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7242, dice=0.7387]
Epoch 49: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7242, dice=0.7387]
Epoch 49: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7242, dice=0.7387]
Epoch 49: train_loss=0.7242, train_dice=0.7387

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 49: val_loss=0.7444, val_dice=0.6599

Epoch 50:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 50:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7359, dice=0.8336]
Epoch 50:  10%|█         | 1/10 [00:10<01:34, 10.50s/it, loss=0.7359, dice=0.8336]
Epoch 50:  10%|█         | 1/10 [00:21<01:34, 10.50s/it, loss=0.7268, dice=0.8403]
Epoch 50:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.7268, dice=0.8403]
Epoch 50:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.7268, dice=0.8275]
Epoch 50:  30%|███       | 3/10 [00:31<01:13, 10.53s/it, loss=0.7268, dice=0.8275]
Epoch 50:  30%|███       | 3/10 [00:42<01:13, 10.53s/it, loss=0.7357, dice=0.8142]
Epoch 50:  40%|████      | 4/10 [00:42<01:03, 10.54s/it, loss=0.7357, dice=0.8142]
Epoch 50:  40%|████      | 4/10 [00:52<01:03, 10.54s/it, loss=0.7331, dice=0.8215]
Epoch 50:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.7331, dice=0.8215]
Epoch 50:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.7289, dice=0.8281]
Epoch 50:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.7289, dice=0.8281]
Epoch 50:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.7237, dice=0.8285]
Epoch 50:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.7237, dice=0.8285]
Epoch 50:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.7232, dice=0.8316]
Epoch 50:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.7232, dice=0.8316]
Epoch 50:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.7227, dice=0.8210]
Epoch 50:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.7227, dice=0.8210]
Epoch 50:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.7229, dice=0.8189]
Epoch 50: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7229, dice=0.8189]
Epoch 50: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7229, dice=0.8189]
Epoch 50: train_loss=0.7229, train_dice=0.8189

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 50: val_loss=0.7427, val_dice=0.6570

Epoch 51:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 51:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7383, dice=0.7941]
Epoch 51:  10%|█         | 1/10 [00:10<01:34, 10.49s/it, loss=0.7383, dice=0.7941]
Epoch 51:  10%|█         | 1/10 [00:21<01:34, 10.49s/it, loss=0.7081, dice=0.8217]
Epoch 51:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.7081, dice=0.8217]
Epoch 51:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.7116, dice=0.8230]
Epoch 51:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.7116, dice=0.8230]
Epoch 51:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.7243, dice=0.8094]
Epoch 51:  40%|████      | 4/10 [00:42<01:03, 10.50s/it, loss=0.7243, dice=0.8094]
Epoch 51:  40%|████      | 4/10 [00:52<01:03, 10.50s/it, loss=0.7257, dice=0.7999]
Epoch 51:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.7257, dice=0.7999]
Epoch 51:  50%|█████     | 5/10 [01:03<00:52, 10.51s/it, loss=0.7340, dice=0.7769]
Epoch 51:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.7340, dice=0.7769]
Epoch 51:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.7301, dice=0.7906]
Epoch 51:  70%|███████   | 7/10 [01:13<00:31, 10.51s/it, loss=0.7301, dice=0.7906]
Epoch 51:  70%|███████   | 7/10 [01:24<00:31, 10.51s/it, loss=0.7339, dice=0.7959]
Epoch 51:  80%|████████  | 8/10 [01:24<00:21, 10.50s/it, loss=0.7339, dice=0.7959]
Epoch 51:  80%|████████  | 8/10 [01:34<00:21, 10.50s/it, loss=0.7345, dice=0.7987]
Epoch 51:  90%|█████████ | 9/10 [01:34<00:10, 10.52s/it, loss=0.7345, dice=0.7987]
Epoch 51:  90%|█████████ | 9/10 [01:45<00:10, 10.52s/it, loss=0.7384, dice=0.7653]
Epoch 51: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.7384, dice=0.7653]
Epoch 51: 100%|██████████| 10/10 [01:45<00:00, 10.51s/it, loss=0.7384, dice=0.7653]
Epoch 51: train_loss=0.7384, train_dice=0.7653

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.75s/it]
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Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.76s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 51: val_loss=0.7456, val_dice=0.6565

Epoch 52:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 52:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7180, dice=0.8544]
Epoch 52:  10%|█         | 1/10 [00:10<01:34, 10.46s/it, loss=0.7180, dice=0.8544]
Epoch 52:  10%|█         | 1/10 [00:20<01:34, 10.46s/it, loss=0.7006, dice=0.8679]
Epoch 52:  20%|██        | 2/10 [00:20<01:23, 10.50s/it, loss=0.7006, dice=0.8679]
Epoch 52:  20%|██        | 2/10 [00:31<01:23, 10.50s/it, loss=0.7194, dice=0.8565]
Epoch 52:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.7194, dice=0.8565]
Epoch 52:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.7162, dice=0.8615]
Epoch 52:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.7162, dice=0.8615]
Epoch 52:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.7093, dice=0.7973]
Epoch 52:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.7093, dice=0.7973]
Epoch 52:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.7107, dice=0.7891]
Epoch 52:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.7107, dice=0.7891]
Epoch 52:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.7094, dice=0.7942]
Epoch 52:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.7094, dice=0.7942]
Epoch 52:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.7149, dice=0.7896]
Epoch 52:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7149, dice=0.7896]
Epoch 52:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7142, dice=0.8025]
Epoch 52:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7142, dice=0.8025]
Epoch 52:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7190, dice=0.7999]
Epoch 52: 100%|██████████| 10/10 [01:45<00:00, 10.63s/it, loss=0.7190, dice=0.7999]
Epoch 52: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7190, dice=0.7999]
Epoch 52: train_loss=0.7190, train_dice=0.7999

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.74s/it]
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Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.75s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.76s/it]
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Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 52: val_loss=0.7440, val_dice=0.6516

Epoch 53:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 53:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7344, dice=0.7953]
Epoch 53:  10%|█         | 1/10 [00:10<01:34, 10.52s/it, loss=0.7344, dice=0.7953]
Epoch 53:  10%|█         | 1/10 [00:21<01:34, 10.52s/it, loss=0.7214, dice=0.8297]
Epoch 53:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.7214, dice=0.8297]
Epoch 53:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.7236, dice=0.7069]
Epoch 53:  30%|███       | 3/10 [00:31<01:13, 10.56s/it, loss=0.7236, dice=0.7069]
Epoch 53:  30%|███       | 3/10 [00:42<01:13, 10.56s/it, loss=0.7335, dice=0.5993]
Epoch 53:  40%|████      | 4/10 [00:42<01:03, 10.57s/it, loss=0.7335, dice=0.5993]
Epoch 53:  40%|████      | 4/10 [00:52<01:03, 10.57s/it, loss=0.7293, dice=0.6381]
Epoch 53:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.7293, dice=0.6381]
Epoch 53:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.7223, dice=0.6797]
Epoch 53:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.7223, dice=0.6797]
Epoch 53:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.7303, dice=0.6742]
Epoch 53:  70%|███████   | 7/10 [01:13<00:31, 10.56s/it, loss=0.7303, dice=0.6742]
Epoch 53:  70%|███████   | 7/10 [01:24<00:31, 10.56s/it, loss=0.7304, dice=0.6925]
Epoch 53:  80%|████████  | 8/10 [01:24<00:21, 10.56s/it, loss=0.7304, dice=0.6925]
Epoch 53:  80%|████████  | 8/10 [01:34<00:21, 10.56s/it, loss=0.7308, dice=0.7090]
Epoch 53:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7308, dice=0.7090]
Epoch 53:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7380, dice=0.6745]
Epoch 53: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7380, dice=0.6745]
Epoch 53: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7380, dice=0.6745]
Epoch 53: train_loss=0.7380, train_dice=0.6745

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
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Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.76s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 53: val_loss=0.7477, val_dice=0.6524

Epoch 54:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 54:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7614, dice=0.7669]
Epoch 54:  10%|█         | 1/10 [00:10<01:34, 10.48s/it, loss=0.7614, dice=0.7669]
Epoch 54:  10%|█         | 1/10 [00:20<01:34, 10.48s/it, loss=0.6992, dice=0.8431]
Epoch 54:  20%|██        | 2/10 [00:20<01:23, 10.50s/it, loss=0.6992, dice=0.8431]
Epoch 54:  20%|██        | 2/10 [00:31<01:23, 10.50s/it, loss=0.7053, dice=0.8127]
Epoch 54:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.7053, dice=0.8127]
Epoch 54:  30%|███       | 3/10 [00:41<01:13, 10.50s/it, loss=0.7233, dice=0.7922]
Epoch 54:  40%|████      | 4/10 [00:41<01:02, 10.50s/it, loss=0.7233, dice=0.7922]
Epoch 54:  40%|████      | 4/10 [00:52<01:02, 10.50s/it, loss=0.7197, dice=0.7885]
Epoch 54:  50%|█████     | 5/10 [00:52<00:52, 10.50s/it, loss=0.7197, dice=0.7885]
Epoch 54:  50%|█████     | 5/10 [01:02<00:52, 10.50s/it, loss=0.7250, dice=0.7726]
Epoch 54:  60%|██████    | 6/10 [01:02<00:42, 10.50s/it, loss=0.7250, dice=0.7726]
Epoch 54:  60%|██████    | 6/10 [01:13<00:42, 10.50s/it, loss=0.7227, dice=0.7870]
Epoch 54:  70%|███████   | 7/10 [01:13<00:31, 10.52s/it, loss=0.7227, dice=0.7870]
Epoch 54:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.7184, dice=0.7956]
Epoch 54:  80%|████████  | 8/10 [01:24<00:21, 10.51s/it, loss=0.7184, dice=0.7956]
Epoch 54:  80%|████████  | 8/10 [01:34<00:21, 10.51s/it, loss=0.7179, dice=0.7981]
Epoch 54:  90%|█████████ | 9/10 [01:34<00:10, 10.51s/it, loss=0.7179, dice=0.7981]
Epoch 54:  90%|█████████ | 9/10 [01:45<00:10, 10.51s/it, loss=0.7202, dice=0.7759]
Epoch 54: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.7202, dice=0.7759]
Epoch 54: 100%|██████████| 10/10 [01:45<00:00, 10.51s/it, loss=0.7202, dice=0.7759]
Epoch 54: train_loss=0.7202, train_dice=0.7759

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.74s/it]
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Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.75s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.76s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.76s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 54: val_loss=0.7422, val_dice=0.6551

Epoch 55:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 55:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.6830, dice=0.8798]
Epoch 55:  10%|█         | 1/10 [00:10<01:34, 10.45s/it, loss=0.6830, dice=0.8798]
Epoch 55:  10%|█         | 1/10 [00:21<01:34, 10.45s/it, loss=0.7100, dice=0.8333]
Epoch 55:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.7100, dice=0.8333]
Epoch 55:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.7344, dice=0.6763]
Epoch 55:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.7344, dice=0.6763]
Epoch 55:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.7504, dice=0.6039]
Epoch 55:  40%|████      | 4/10 [00:42<01:03, 10.53s/it, loss=0.7504, dice=0.6039]
Epoch 55:  40%|████      | 4/10 [00:52<01:03, 10.53s/it, loss=0.7507, dice=0.6493]
Epoch 55:  50%|█████     | 5/10 [00:52<00:52, 10.54s/it, loss=0.7507, dice=0.6493]
Epoch 55:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.7382, dice=0.6333]
Epoch 55:  60%|██████    | 6/10 [01:03<00:42, 10.56s/it, loss=0.7382, dice=0.6333]
Epoch 55:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.7362, dice=0.6583]
Epoch 55:  70%|███████   | 7/10 [01:13<00:31, 10.56s/it, loss=0.7362, dice=0.6583]
Epoch 55:  70%|███████   | 7/10 [01:24<00:31, 10.56s/it, loss=0.7328, dice=0.6841]
Epoch 55:  80%|████████  | 8/10 [01:24<00:21, 10.57s/it, loss=0.7328, dice=0.6841]
Epoch 55:  80%|████████  | 8/10 [01:34<00:21, 10.57s/it, loss=0.7298, dice=0.6939]
Epoch 55:  90%|█████████ | 9/10 [01:34<00:10, 10.56s/it, loss=0.7298, dice=0.6939]
Epoch 55:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.7331, dice=0.7017]
Epoch 55: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7331, dice=0.7017]
Epoch 55: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7331, dice=0.7017]
Epoch 55: train_loss=0.7331, train_dice=0.7017

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.75s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 55: val_loss=0.7459, val_dice=0.6494

Epoch 56:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 56:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7732, dice=0.7422]
Epoch 56:  10%|█         | 1/10 [00:10<01:34, 10.53s/it, loss=0.7732, dice=0.7422]
Epoch 56:  10%|█         | 1/10 [00:21<01:34, 10.53s/it, loss=0.7327, dice=0.7902]
Epoch 56:  20%|██        | 2/10 [00:21<01:24, 10.55s/it, loss=0.7327, dice=0.7902]
Epoch 56:  20%|██        | 2/10 [00:31<01:24, 10.55s/it, loss=0.7422, dice=0.6700]
Epoch 56:  30%|███       | 3/10 [00:31<01:13, 10.55s/it, loss=0.7422, dice=0.6700]
Epoch 56:  30%|███       | 3/10 [00:42<01:13, 10.55s/it, loss=0.7412, dice=0.6492]
Epoch 56:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.7412, dice=0.6492]
Epoch 56:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.7379, dice=0.6643]
Epoch 56:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.7379, dice=0.6643]
Epoch 56:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.7342, dice=0.6948]
Epoch 56:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.7342, dice=0.6948]
Epoch 56:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.7372, dice=0.7128]
Epoch 56:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7372, dice=0.7128]
Epoch 56:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7403, dice=0.7202]
Epoch 56:  80%|████████  | 8/10 [01:24<00:21, 10.56s/it, loss=0.7403, dice=0.7202]
Epoch 56:  80%|████████  | 8/10 [01:34<00:21, 10.56s/it, loss=0.7402, dice=0.7319]
Epoch 56:  90%|█████████ | 9/10 [01:34<00:10, 10.56s/it, loss=0.7402, dice=0.7319]
Epoch 56:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.7405, dice=0.7091]
Epoch 56: 100%|██████████| 10/10 [01:45<00:00, 10.58s/it, loss=0.7405, dice=0.7091]
Epoch 56: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7405, dice=0.7091]
Epoch 56: train_loss=0.7405, train_dice=0.7091

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
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Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 56: val_loss=0.7473, val_dice=0.6553

Epoch 57:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 57:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7535, dice=0.2972]
Epoch 57:  10%|█         | 1/10 [00:10<01:34, 10.52s/it, loss=0.7535, dice=0.2972]
Epoch 57:  10%|█         | 1/10 [00:21<01:34, 10.52s/it, loss=0.7405, dice=0.3841]
Epoch 57:  20%|██        | 2/10 [00:21<01:24, 10.55s/it, loss=0.7405, dice=0.3841]
Epoch 57:  20%|██        | 2/10 [00:31<01:24, 10.55s/it, loss=0.7518, dice=0.4763]
Epoch 57:  30%|███       | 3/10 [00:31<01:13, 10.55s/it, loss=0.7518, dice=0.4763]
Epoch 57:  30%|███       | 3/10 [00:42<01:13, 10.55s/it, loss=0.7536, dice=0.5631]
Epoch 57:  40%|████      | 4/10 [00:42<01:03, 10.55s/it, loss=0.7536, dice=0.5631]
Epoch 57:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.7566, dice=0.5419]
Epoch 57:  50%|█████     | 5/10 [00:52<00:52, 10.57s/it, loss=0.7566, dice=0.5419]
Epoch 57:  50%|█████     | 5/10 [01:03<00:52, 10.57s/it, loss=0.7640, dice=0.5144]
Epoch 57:  60%|██████    | 6/10 [01:03<00:42, 10.58s/it, loss=0.7640, dice=0.5144]
Epoch 57:  60%|██████    | 6/10 [01:13<00:42, 10.58s/it, loss=0.7562, dice=0.5640]
Epoch 57:  70%|███████   | 7/10 [01:13<00:31, 10.56s/it, loss=0.7562, dice=0.5640]
Epoch 57:  70%|███████   | 7/10 [01:24<00:31, 10.56s/it, loss=0.7570, dice=0.5804]
Epoch 57:  80%|████████  | 8/10 [01:24<00:21, 10.56s/it, loss=0.7570, dice=0.5804]
Epoch 57:  80%|████████  | 8/10 [01:35<00:21, 10.56s/it, loss=0.7550, dice=0.6071]
Epoch 57:  90%|█████████ | 9/10 [01:35<00:10, 10.55s/it, loss=0.7550, dice=0.6071]
Epoch 57:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7509, dice=0.6256]
Epoch 57: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7509, dice=0.6256]
Epoch 57: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.7509, dice=0.6256]
Epoch 57: train_loss=0.7509, train_dice=0.6256

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
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Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.75s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.76s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 57: val_loss=0.7474, val_dice=0.6579

Epoch 58:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 58:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7117, dice=0.7217]
Epoch 58:  10%|█         | 1/10 [00:10<01:34, 10.46s/it, loss=0.7117, dice=0.7217]
Epoch 58:  10%|█         | 1/10 [00:20<01:34, 10.46s/it, loss=0.7149, dice=0.7474]
Epoch 58:  20%|██        | 2/10 [00:20<01:23, 10.47s/it, loss=0.7149, dice=0.7474]
Epoch 58:  20%|██        | 2/10 [00:31<01:23, 10.47s/it, loss=0.7035, dice=0.7854]
Epoch 58:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.7035, dice=0.7854]
Epoch 58:  30%|███       | 3/10 [00:42<01:13, 10.50s/it, loss=0.7051, dice=0.8047]
Epoch 58:  40%|████      | 4/10 [00:42<01:03, 10.51s/it, loss=0.7051, dice=0.8047]
Epoch 58:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.7120, dice=0.7505]
Epoch 58:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.7120, dice=0.7505]
Epoch 58:  50%|█████     | 5/10 [01:03<00:52, 10.51s/it, loss=0.7154, dice=0.7655]
Epoch 58:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.7154, dice=0.7655]
Epoch 58:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.7237, dice=0.7218]
Epoch 58:  70%|███████   | 7/10 [01:13<00:31, 10.56s/it, loss=0.7237, dice=0.7218]
Epoch 58:  70%|███████   | 7/10 [01:24<00:31, 10.56s/it, loss=0.7194, dice=0.7422]
Epoch 58:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.7194, dice=0.7422]
Epoch 58:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.7240, dice=0.7457]
Epoch 58:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.7240, dice=0.7457]
Epoch 58:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.7253, dice=0.7503]
Epoch 58: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.7253, dice=0.7503]
Epoch 58: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.7253, dice=0.7503]
Epoch 58: train_loss=0.7253, train_dice=0.7503

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.78s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.78s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 58: val_loss=0.7450, val_dice=0.6570

Epoch 59:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 59:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.7148, dice=0.8511]
Epoch 59:  10%|█         | 1/10 [00:10<01:34, 10.47s/it, loss=0.7148, dice=0.8511]
Epoch 59:  10%|█         | 1/10 [00:20<01:34, 10.47s/it, loss=0.7138, dice=0.8193]
Epoch 59:  20%|██        | 2/10 [00:20<01:24, 10.50s/it, loss=0.7138, dice=0.8193]
Epoch 59:  20%|██        | 2/10 [00:31<01:24, 10.50s/it, loss=0.7286, dice=0.8234]
Epoch 59:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.7286, dice=0.8234]
Epoch 59:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.7408, dice=0.8018]
Epoch 59:  40%|████      | 4/10 [00:42<01:03, 10.55s/it, loss=0.7408, dice=0.8018]
Epoch 59:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.7298, dice=0.8188]
Epoch 59:  50%|█████     | 5/10 [00:52<00:52, 10.54s/it, loss=0.7298, dice=0.8188]
Epoch 59:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.7316, dice=0.7712]
Epoch 59:  60%|██████    | 6/10 [01:03<00:42, 10.56s/it, loss=0.7316, dice=0.7712]
Epoch 59:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.7300, dice=0.7829]
Epoch 59:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.7300, dice=0.7829]
Epoch 59:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.7317, dice=0.7472]
Epoch 59:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.7317, dice=0.7472]
Epoch 59:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.7314, dice=0.7494]
Epoch 59:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.7314, dice=0.7494]
Epoch 59:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.7276, dice=0.7530]
Epoch 59: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.7276, dice=0.7530]
Epoch 59: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.7276, dice=0.7530]
Epoch 59: train_loss=0.7276, train_dice=0.7530

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.76s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.75s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.77s/it]
Validating:  83%|████████▎ | 10/12 [00:17<00:03,  1.76s/it]
Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 59: val_loss=0.7451, val_dice=0.6561