W1229 03:54:01.696000 1740518 site-packages/torch/distributed/run.py:766] 
W1229 03:54:01.696000 1740518 site-packages/torch/distributed/run.py:766] *****************************************
W1229 03:54:01.696000 1740518 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 03:54:01.696000 1740518 site-packages/torch/distributed/run.py:766] *****************************************
BraTS train set: 85 cases
BraTS train set: 85 casesBraTS train set: 85 cases

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

BraTS train set: 85 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
BraTS val set: 12 cases
BraTS val set: 12 cases
BraTS val set: 12 cases
Loading SAM3 video model...
INFO 2025-12-29 03:54:14,274 1740608 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 03:54:14,343 1740602 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 03:54:14,368 1740607 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 03:54:14,404 1740605 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 03:54:14,435 1740604 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 03:54:14,532 1740609 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 03:54:14,639 1740606 sam3_video_base.py: 124: setting max_num_objects=10000 and num_obj_for_compile=16
INFO 2025-12-29 03:54:14,741 1740603 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
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
Applied LoRA to 159 layers
Applied LoRA to 159 layers
Params total=853,537,103 trainable=5,225,241 ratio=0.6122%
Applied LoRA to 159 layers
Applied LoRA to 159 layers
Output dir: /root/githubs/sam3/checkpoints
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() = [1, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [1, 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() = [1, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [1, 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() = [1, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [1, 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() = [1, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [1, 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() = [1, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [1, 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() = [1, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [1, 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() = [1, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [1, 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() = [1, 32, 1, 1], strides() = [32, 1, 32, 32]
bucket_view.sizes() = [1, 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=0.4842, dice=0.0977]
Epoch 0:  10%|█         | 1/10 [00:10<01:37, 10.84s/it, loss=0.4842, dice=0.0977]
Epoch 0:  10%|█         | 1/10 [00:21<01:37, 10.84s/it, loss=0.4456, dice=0.3487]
Epoch 0:  20%|██        | 2/10 [00:21<01:25, 10.68s/it, loss=0.4456, dice=0.3487]
Epoch 0:  20%|██        | 2/10 [00:31<01:25, 10.68s/it, loss=0.4560, dice=0.3063]
Epoch 0:  30%|███       | 3/10 [00:31<01:14, 10.60s/it, loss=0.4560, dice=0.3063]
Epoch 0:  30%|███       | 3/10 [00:42<01:14, 10.60s/it, loss=0.4370, dice=0.4093]
Epoch 0:  40%|████      | 4/10 [00:42<01:03, 10.56s/it, loss=0.4370, dice=0.4093]
Epoch 0:  40%|████      | 4/10 [00:52<01:03, 10.56s/it, loss=0.4380, dice=0.4003]
Epoch 0:  50%|█████     | 5/10 [00:52<00:52, 10.57s/it, loss=0.4380, dice=0.4003]
Epoch 0:  50%|█████     | 5/10 [01:03<00:52, 10.57s/it, loss=0.4401, dice=0.4032]
Epoch 0:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.4401, dice=0.4032]
Epoch 0:  60%|██████    | 6/10 [01:14<00:42, 10.55s/it, loss=0.4467, dice=0.3696]
Epoch 0:  70%|███████   | 7/10 [01:14<00:31, 10.55s/it, loss=0.4467, dice=0.3696]
Epoch 0:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.4416, dice=0.3982]
Epoch 0:  80%|████████  | 8/10 [01:24<00:21, 10.56s/it, loss=0.4416, dice=0.3982]
Epoch 0:  80%|████████  | 8/10 [01:35<00:21, 10.56s/it, loss=0.4301, dice=0.4482]
Epoch 0:  90%|█████████ | 9/10 [01:35<00:10, 10.53s/it, loss=0.4301, dice=0.4482]
Epoch 0:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.4288, dice=0.4766]
Epoch 0: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.4288, dice=0.4766]
Epoch 0: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.4288, dice=0.4766]
Epoch 0: train_loss=0.4288, train_dice=0.4766

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 0: val_loss=0.4711, val_dice=0.5068
  New best val dice: 0.5068
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

Epoch 1:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 1:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4173, dice=0.6976]
Epoch 1:  10%|█         | 1/10 [00:10<01:33, 10.40s/it, loss=0.4173, dice=0.6976]
Epoch 1:  10%|█         | 1/10 [00:20<01:33, 10.40s/it, loss=0.4297, dice=0.6873]
Epoch 1:  20%|██        | 2/10 [00:20<01:23, 10.50s/it, loss=0.4297, dice=0.6873]
Epoch 1:  20%|██        | 2/10 [00:31<01:23, 10.50s/it, loss=0.4250, dice=0.7080]
Epoch 1:  30%|███       | 3/10 [00:31<01:13, 10.53s/it, loss=0.4250, dice=0.7080]
Epoch 1:  30%|███       | 3/10 [00:42<01:13, 10.53s/it, loss=0.4170, dice=0.6935]
Epoch 1:  40%|████      | 4/10 [00:42<01:03, 10.54s/it, loss=0.4170, dice=0.6935]
Epoch 1:  40%|████      | 4/10 [00:52<01:03, 10.54s/it, loss=0.4209, dice=0.6891]
Epoch 1:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.4209, dice=0.6891]
Epoch 1:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.4284, dice=0.6488]
Epoch 1:  60%|██████    | 6/10 [01:03<00:42, 10.52s/it, loss=0.4284, dice=0.6488]
Epoch 1:  60%|██████    | 6/10 [01:13<00:42, 10.52s/it, loss=0.4226, dice=0.6779]
Epoch 1:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.4226, dice=0.6779]
Epoch 1:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.4259, dice=0.6750]
Epoch 1:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.4259, dice=0.6750]
Epoch 1:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.4262, dice=0.6899]
Epoch 1:  90%|█████████ | 9/10 [01:34<00:10, 10.51s/it, loss=0.4262, dice=0.6899]
Epoch 1:  90%|█████████ | 9/10 [01:45<00:10, 10.51s/it, loss=0.4230, dice=0.7026]
Epoch 1: 100%|██████████| 10/10 [01:45<00:00, 10.51s/it, loss=0.4230, dice=0.7026]
Epoch 1: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.4230, dice=0.7026]
Epoch 1: train_loss=0.4230, train_dice=0.7026

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,  1.76s/it]
Epoch 1: val_loss=0.4400, val_dice=0.6814
  New best val dice: 0.6814
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

Epoch 2:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 2:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4230, dice=0.7477]
Epoch 2:  10%|█         | 1/10 [00:10<01:33, 10.40s/it, loss=0.4230, dice=0.7477]
Epoch 2:  10%|█         | 1/10 [00:20<01:33, 10.40s/it, loss=0.4048, dice=0.8034]
Epoch 2:  20%|██        | 2/10 [00:20<01:23, 10.49s/it, loss=0.4048, dice=0.8034]
Epoch 2:  20%|██        | 2/10 [00:31<01:23, 10.49s/it, loss=0.4058, dice=0.7948]
Epoch 2:  30%|███       | 3/10 [00:31<01:13, 10.49s/it, loss=0.4058, dice=0.7948]
Epoch 2:  30%|███       | 3/10 [00:42<01:13, 10.49s/it, loss=0.4178, dice=0.7628]
Epoch 2:  40%|████      | 4/10 [00:42<01:03, 10.53s/it, loss=0.4178, dice=0.7628]
Epoch 2:  40%|████      | 4/10 [00:52<01:03, 10.53s/it, loss=0.4136, dice=0.7666]
Epoch 2:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.4136, dice=0.7666]
Epoch 2:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.4233, dice=0.6974]
Epoch 2:  60%|██████    | 6/10 [01:03<00:42, 10.58s/it, loss=0.4233, dice=0.6974]
Epoch 2:  60%|██████    | 6/10 [01:13<00:42, 10.58s/it, loss=0.4236, dice=0.7212]
Epoch 2:  70%|███████   | 7/10 [01:13<00:31, 10.59s/it, loss=0.4236, dice=0.7212]
Epoch 2:  70%|███████   | 7/10 [01:24<00:31, 10.59s/it, loss=0.4179, dice=0.7367]
Epoch 2:  80%|████████  | 8/10 [01:24<00:21, 10.58s/it, loss=0.4179, dice=0.7367]
Epoch 2:  80%|████████  | 8/10 [01:34<00:21, 10.58s/it, loss=0.4200, dice=0.7290]
Epoch 2:  90%|█████████ | 9/10 [01:34<00:10, 10.57s/it, loss=0.4200, dice=0.7290]
Epoch 2:  90%|█████████ | 9/10 [01:45<00:10, 10.57s/it, loss=0.4135, dice=0.7453]
Epoch 2: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.4135, dice=0.7453]
Epoch 2: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.4135, dice=0.7453]
Epoch 2: train_loss=0.4135, train_dice=0.7453

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]
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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 2: val_loss=0.4198, val_dice=0.7177
  New best val dice: 0.7177
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

Epoch 3:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 3:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4033, dice=0.8272]
Epoch 3:  10%|█         | 1/10 [00:10<01:33, 10.35s/it, loss=0.4033, dice=0.8272]
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Epoch 3:  20%|██        | 2/10 [00:31<01:23, 10.45s/it, loss=0.3800, dice=0.8267]
Epoch 3:  30%|███       | 3/10 [00:31<01:13, 10.46s/it, loss=0.3800, dice=0.8267]
Epoch 3:  30%|███       | 3/10 [00:41<01:13, 10.46s/it, loss=0.3758, dice=0.8350]
Epoch 3:  40%|████      | 4/10 [00:41<01:02, 10.49s/it, loss=0.3758, dice=0.8350]
Epoch 3:  40%|████      | 4/10 [00:52<01:02, 10.49s/it, loss=0.3756, dice=0.8422]
Epoch 3:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.3756, dice=0.8422]
Epoch 3:  50%|█████     | 5/10 [01:02<00:52, 10.51s/it, loss=0.3671, dice=0.8535]
Epoch 3:  60%|██████    | 6/10 [01:02<00:42, 10.53s/it, loss=0.3671, dice=0.8535]
Epoch 3:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3664, dice=0.8586]
Epoch 3:  70%|███████   | 7/10 [01:13<00:31, 10.53s/it, loss=0.3664, dice=0.8586]
Epoch 3:  70%|███████   | 7/10 [01:24<00:31, 10.53s/it, loss=0.3703, dice=0.8567]
Epoch 3:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.3703, dice=0.8567]
Epoch 3:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.3813, dice=0.8185]
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Epoch 3:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3820, dice=0.8170]
Epoch 3: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3820, dice=0.8170]
Epoch 3: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3820, dice=0.8170]
Epoch 3: train_loss=0.3820, train_dice=0.8170

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Epoch 3: val_loss=0.4114, val_dice=0.7411
  New best val dice: 0.7411
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

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Epoch 4: 100%|██████████| 10/10 [01:45<00:00, 10.50s/it, loss=0.3952, dice=0.8189]
Epoch 4: train_loss=0.3952, train_dice=0.8189

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 4: val_loss=0.4079, val_dice=0.7419
  New best val dice: 0.7419
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

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Epoch 5:  90%|█████████ | 9/10 [01:45<00:10, 10.57s/it, loss=0.4169, dice=0.7497]
Epoch 5: 100%|██████████| 10/10 [01:45<00:00, 10.58s/it, loss=0.4169, dice=0.7497]
Epoch 5: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.4169, dice=0.7497]
Epoch 5: train_loss=0.4169, train_dice=0.7497

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Epoch 5: val_loss=0.4072, val_dice=0.7249

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Epoch 6:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.3996, dice=0.7854]
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Epoch 6:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.4118, dice=0.7664]
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Epoch 6:  70%|███████   | 7/10 [01:24<00:31, 10.57s/it, loss=0.4072, dice=0.7710]
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Epoch 6:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.4104, dice=0.7805]
Epoch 6: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.4104, dice=0.7805]
Epoch 6: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.4104, dice=0.7805]
Epoch 6: train_loss=0.4104, train_dice=0.7805

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 6: val_loss=0.4048, val_dice=0.7694
  New best val dice: 0.7694
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

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Epoch 7: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3978, dice=0.7615]
Epoch 7: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3978, dice=0.7615]
Epoch 7: train_loss=0.3978, train_dice=0.7615

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Epoch 7: val_loss=0.4045, val_dice=0.7217

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Epoch 8:  70%|███████   | 7/10 [01:24<00:31, 10.58s/it, loss=0.4258, dice=0.7405]
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Epoch 8:  90%|█████████ | 9/10 [01:34<00:10, 10.58s/it, loss=0.4203, dice=0.7468]
Epoch 8:  90%|█████████ | 9/10 [01:45<00:10, 10.58s/it, loss=0.4245, dice=0.7361]
Epoch 8: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.4245, dice=0.7361]
Epoch 8: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.4245, dice=0.7361]
Epoch 8: train_loss=0.4245, train_dice=0.7361

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]
Validating:  25%|██▌       | 3/12 [00:05<00:15,  1.76s/it]
Validating:  33%|███▎      | 4/12 [00:07<00:14,  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,  1.75s/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,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 8: val_loss=0.4043, val_dice=0.7481

Epoch 9:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 9:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3890, dice=0.8388]
Epoch 9:  10%|█         | 1/10 [00:10<01:33, 10.36s/it, loss=0.3890, dice=0.8388]
Epoch 9:  10%|█         | 1/10 [00:20<01:33, 10.36s/it, loss=0.3949, dice=0.8022]
Epoch 9:  20%|██        | 2/10 [00:20<01:23, 10.48s/it, loss=0.3949, dice=0.8022]
Epoch 9:  20%|██        | 2/10 [00:31<01:23, 10.48s/it, loss=0.4134, dice=0.7586]
Epoch 9:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.4134, dice=0.7586]
Epoch 9:  30%|███       | 3/10 [00:42<01:13, 10.50s/it, loss=0.4009, dice=0.7915]
Epoch 9:  40%|████      | 4/10 [00:42<01:03, 10.53s/it, loss=0.4009, dice=0.7915]
Epoch 9:  40%|████      | 4/10 [00:52<01:03, 10.53s/it, loss=0.3925, dice=0.7920]
Epoch 9:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.3925, dice=0.7920]
Epoch 9:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.3828, dice=0.8062]
Epoch 9:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.3828, dice=0.8062]
Epoch 9:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.3833, dice=0.8112]
Epoch 9:  70%|███████   | 7/10 [01:13<00:31, 10.53s/it, loss=0.3833, dice=0.8112]
Epoch 9:  70%|███████   | 7/10 [01:24<00:31, 10.53s/it, loss=0.3917, dice=0.7818]
Epoch 9:  80%|████████  | 8/10 [01:24<00:21, 10.52s/it, loss=0.3917, dice=0.7818]
Epoch 9:  80%|████████  | 8/10 [01:34<00:21, 10.52s/it, loss=0.3913, dice=0.7851]
Epoch 9:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.3913, dice=0.7851]
Epoch 9:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3912, dice=0.7850]
Epoch 9: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3912, dice=0.7850]
Epoch 9: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3912, dice=0.7850]
Epoch 9: train_loss=0.3912, train_dice=0.7850

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]
Validating:  25%|██▌       | 3/12 [00:05<00:15,  1.77s/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,  1.74s/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,  1.76s/it]
Epoch 9: val_loss=0.4039, val_dice=0.7335

Epoch 10:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 10:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4565, dice=0.5697]
Epoch 10:  10%|█         | 1/10 [00:10<01:34, 10.45s/it, loss=0.4565, dice=0.5697]
Epoch 10:  10%|█         | 1/10 [00:21<01:34, 10.45s/it, loss=0.4296, dice=0.6559]
Epoch 10:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.4296, dice=0.6559]
Epoch 10:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.4232, dice=0.7275]
Epoch 10:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.4232, dice=0.7275]
Epoch 10:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.4154, dice=0.7642]
Epoch 10:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.4154, dice=0.7642]
Epoch 10:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.4186, dice=0.7739]
Epoch 10:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.4186, dice=0.7739]
Epoch 10:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.4066, dice=0.7900]
Epoch 10:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.4066, dice=0.7900]
Epoch 10:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.4027, dice=0.8023]
Epoch 10:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.4027, dice=0.8023]
Epoch 10:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.4099, dice=0.7831]
Epoch 10:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.4099, dice=0.7831]
Epoch 10:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.4143, dice=0.7666]
Epoch 10:  90%|█████████ | 9/10 [01:34<00:10, 10.56s/it, loss=0.4143, dice=0.7666]
Epoch 10:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.4147, dice=0.7684]
Epoch 10: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.4147, dice=0.7684]
Epoch 10: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.4147, dice=0.7684]
Epoch 10: train_loss=0.4147, train_dice=0.7684

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.78s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:17,  1.79s/it]
Validating:  25%|██▌       | 3/12 [00:05<00:15,  1.77s/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,  1.77s/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 10: val_loss=0.4028, val_dice=0.7384

Epoch 11:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 11:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3841, dice=0.8210]
Epoch 11:  10%|█         | 1/10 [00:10<01:33, 10.44s/it, loss=0.3841, dice=0.8210]
Epoch 11:  10%|█         | 1/10 [00:20<01:33, 10.44s/it, loss=0.3827, dice=0.8337]
Epoch 11:  20%|██        | 2/10 [00:20<01:23, 10.49s/it, loss=0.3827, dice=0.8337]
Epoch 11:  20%|██        | 2/10 [00:31<01:23, 10.49s/it, loss=0.3824, dice=0.8209]
Epoch 11:  30%|███       | 3/10 [00:31<01:13, 10.49s/it, loss=0.3824, dice=0.8209]
Epoch 11:  30%|███       | 3/10 [00:41<01:13, 10.49s/it, loss=0.3732, dice=0.8254]
Epoch 11:  40%|████      | 4/10 [00:41<01:03, 10.51s/it, loss=0.3732, dice=0.8254]
Epoch 11:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3655, dice=0.8378]
Epoch 11:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.3655, dice=0.8378]
Epoch 11:  50%|█████     | 5/10 [01:03<00:52, 10.51s/it, loss=0.3696, dice=0.8440]
Epoch 11:  60%|██████    | 6/10 [01:03<00:42, 10.51s/it, loss=0.3696, dice=0.8440]
Epoch 11:  60%|██████    | 6/10 [01:13<00:42, 10.51s/it, loss=0.3726, dice=0.8470]
Epoch 11:  70%|███████   | 7/10 [01:13<00:31, 10.52s/it, loss=0.3726, dice=0.8470]
Epoch 11:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.3836, dice=0.8162]
Epoch 11:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3836, dice=0.8162]
Epoch 11:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3823, dice=0.8131]
Epoch 11:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.3823, dice=0.8131]
Epoch 11:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3774, dice=0.8191]
Epoch 11: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3774, dice=0.8191]
Epoch 11: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3774, dice=0.8191]
Epoch 11: train_loss=0.3774, train_dice=0.8191

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]
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,  1.76s/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,  1.75s/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,  1.76s/it]
Epoch 11: val_loss=0.3999, val_dice=0.7621

Epoch 12:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 12:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4169, dice=0.7763]
Epoch 12:  10%|█         | 1/10 [00:10<01:33, 10.39s/it, loss=0.4169, dice=0.7763]
Epoch 12:  10%|█         | 1/10 [00:21<01:33, 10.39s/it, loss=0.4442, dice=0.6577]
Epoch 12:  20%|██        | 2/10 [00:21<01:24, 10.57s/it, loss=0.4442, dice=0.6577]
Epoch 12:  20%|██        | 2/10 [00:31<01:24, 10.57s/it, loss=0.4369, dice=0.6920]
Epoch 12:  30%|███       | 3/10 [00:31<01:14, 10.58s/it, loss=0.4369, dice=0.6920]
Epoch 12:  30%|███       | 3/10 [00:42<01:14, 10.58s/it, loss=0.4168, dice=0.7416]
Epoch 12:  40%|████      | 4/10 [00:42<01:03, 10.57s/it, loss=0.4168, dice=0.7416]
Epoch 12:  40%|████      | 4/10 [00:52<01:03, 10.57s/it, loss=0.4193, dice=0.7301]
Epoch 12:  50%|█████     | 5/10 [00:52<00:52, 10.56s/it, loss=0.4193, dice=0.7301]
Epoch 12:  50%|█████     | 5/10 [01:03<00:52, 10.56s/it, loss=0.4161, dice=0.7371]
Epoch 12:  60%|██████    | 6/10 [01:03<00:42, 10.57s/it, loss=0.4161, dice=0.7371]
Epoch 12:  60%|██████    | 6/10 [01:13<00:42, 10.57s/it, loss=0.4207, dice=0.7189]
Epoch 12:  70%|███████   | 7/10 [01:13<00:31, 10.58s/it, loss=0.4207, dice=0.7189]
Epoch 12:  70%|███████   | 7/10 [01:24<00:31, 10.58s/it, loss=0.4111, dice=0.7325]
Epoch 12:  80%|████████  | 8/10 [01:24<00:21, 10.57s/it, loss=0.4111, dice=0.7325]
Epoch 12:  80%|████████  | 8/10 [01:35<00:21, 10.57s/it, loss=0.4059, dice=0.7389]
Epoch 12:  90%|█████████ | 9/10 [01:35<00:10, 10.55s/it, loss=0.4059, dice=0.7389]
Epoch 12:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.4092, dice=0.7250]
Epoch 12: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.4092, dice=0.7250]
Epoch 12: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.4092, dice=0.7250]
Epoch 12: train_loss=0.4092, train_dice=0.7250

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.77s/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,  1.77s/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,  1.74s/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 12: val_loss=0.4001, val_dice=0.7276

Epoch 13:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 13:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4699, dice=0.5327]
Epoch 13:  10%|█         | 1/10 [00:10<01:33, 10.39s/it, loss=0.4699, dice=0.5327]
Epoch 13:  10%|█         | 1/10 [00:20<01:33, 10.39s/it, loss=0.3980, dice=0.6814]
Epoch 13:  20%|██        | 2/10 [00:20<01:23, 10.46s/it, loss=0.3980, dice=0.6814]
Epoch 13:  20%|██        | 2/10 [00:31<01:23, 10.46s/it, loss=0.3651, dice=0.7543]
Epoch 13:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.3651, dice=0.7543]
Epoch 13:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.3823, dice=0.7515]
Epoch 13:  40%|████      | 4/10 [00:42<01:03, 10.54s/it, loss=0.3823, dice=0.7515]
Epoch 13:  40%|████      | 4/10 [00:52<01:03, 10.54s/it, loss=0.3956, dice=0.7170]
Epoch 13:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.3956, dice=0.7170]
Epoch 13:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.3897, dice=0.7473]
Epoch 13:  60%|██████    | 6/10 [01:03<00:42, 10.51s/it, loss=0.3897, dice=0.7473]
Epoch 13:  60%|██████    | 6/10 [01:13<00:42, 10.51s/it, loss=0.3852, dice=0.7667]
Epoch 13:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.3852, dice=0.7667]
Epoch 13:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.3889, dice=0.7751]
Epoch 13:  80%|████████  | 8/10 [01:24<00:21, 10.52s/it, loss=0.3889, dice=0.7751]
Epoch 13:  80%|████████  | 8/10 [01:34<00:21, 10.52s/it, loss=0.3976, dice=0.7470]
Epoch 13:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.3976, dice=0.7470]
Epoch 13:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3928, dice=0.7527]
Epoch 13: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.3928, dice=0.7527]
Epoch 13: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3928, dice=0.7527]
Epoch 13: train_loss=0.3928, train_dice=0.7527

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.77s/it]
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Epoch 13: val_loss=0.3992, val_dice=0.7660

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Epoch 14:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3829, dice=0.8096]
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Epoch 14: train_loss=0.3829, train_dice=0.8096

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Epoch 14: val_loss=0.3976, val_dice=0.7445

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Epoch 15: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3763, dice=0.8256]
Epoch 15: train_loss=0.3763, train_dice=0.8256

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Epoch 15: val_loss=0.3957, val_dice=0.7543

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Epoch 16:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3857, dice=0.8260]
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Epoch 16: train_loss=0.3857, train_dice=0.8260

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Epoch 16: val_loss=0.3950, val_dice=0.7671

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Epoch 17:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.3925, dice=0.8109]
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Epoch 17:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.4004, dice=0.8054]
Epoch 17: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.4004, dice=0.8054]
Epoch 17: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.4004, dice=0.8054]
Epoch 17: train_loss=0.4004, train_dice=0.8054

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Epoch 17: val_loss=0.3952, val_dice=0.7599

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Epoch 18:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.4016, dice=0.7382]
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Epoch 18:  70%|███████   | 7/10 [01:24<00:31, 10.57s/it, loss=0.3983, dice=0.7501]
Epoch 18:  80%|████████  | 8/10 [01:24<00:21, 10.57s/it, loss=0.3983, dice=0.7501]
Epoch 18:  80%|████████  | 8/10 [01:34<00:21, 10.57s/it, loss=0.3895, dice=0.7647]
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Epoch 18:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.3975, dice=0.7523]
Epoch 18: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3975, dice=0.7523]
Epoch 18: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3975, dice=0.7523]
Epoch 18: train_loss=0.3975, train_dice=0.7523

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Epoch 18: val_loss=0.3933, val_dice=0.7770
  New best val dice: 0.7770
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

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Epoch 19:  80%|████████  | 8/10 [01:34<00:21, 10.52s/it, loss=0.3862, dice=0.8199]
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Epoch 19:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3906, dice=0.8167]
Epoch 19: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3906, dice=0.8167]
Epoch 19: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3906, dice=0.8167]
Epoch 19: train_loss=0.3906, train_dice=0.8167

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Epoch 19: val_loss=0.3916, val_dice=0.7622

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Epoch 20:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3709, dice=0.8311]
Epoch 20: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3709, dice=0.8311]
Epoch 20: 100%|██████████| 10/10 [01:45<00:00, 10.51s/it, loss=0.3709, dice=0.8311]
Epoch 20: train_loss=0.3709, train_dice=0.8311

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Epoch 20: val_loss=0.3901, val_dice=0.7920
  New best val dice: 0.7920
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

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Epoch 21:  80%|████████  | 8/10 [01:34<00:21, 10.56s/it, loss=0.3931, dice=0.7890]
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Epoch 21:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.3964, dice=0.7803]
Epoch 21: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.3964, dice=0.7803]
Epoch 21: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3964, dice=0.7803]
Epoch 21: train_loss=0.3964, train_dice=0.7803

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Epoch 21: val_loss=0.3904, val_dice=0.7634

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Epoch 22:  80%|████████  | 8/10 [01:34<00:21, 10.56s/it, loss=0.3811, dice=0.8263]
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Epoch 22: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3860, dice=0.8227]
Epoch 22: train_loss=0.3860, train_dice=0.8227

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Epoch 22: val_loss=0.3891, val_dice=0.7902

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Epoch 23:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.3794, dice=0.8356]
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Epoch 23: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3867, dice=0.8223]
Epoch 23: train_loss=0.3867, train_dice=0.8223

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Epoch 23: val_loss=0.3883, val_dice=0.7721

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Epoch 24:  30%|███       | 3/10 [00:31<01:13, 10.55s/it, loss=0.3726, dice=0.8279]
Epoch 24:  30%|███       | 3/10 [00:42<01:13, 10.55s/it, loss=0.3693, dice=0.8329]
Epoch 24:  40%|████      | 4/10 [00:42<01:03, 10.55s/it, loss=0.3693, dice=0.8329]
Epoch 24:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.3485, dice=0.8544]
Epoch 24:  50%|█████     | 5/10 [00:52<00:52, 10.54s/it, loss=0.3485, dice=0.8544]
Epoch 24:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.3450, dice=0.8640]
Epoch 24:  60%|██████    | 6/10 [01:03<00:42, 10.56s/it, loss=0.3450, dice=0.8640]
Epoch 24:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.3540, dice=0.8448]
Epoch 24:  70%|███████   | 7/10 [01:13<00:31, 10.57s/it, loss=0.3540, dice=0.8448]
Epoch 24:  70%|███████   | 7/10 [01:24<00:31, 10.57s/it, loss=0.3459, dice=0.8535]
Epoch 24:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.3459, dice=0.8535]
Epoch 24:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.3419, dice=0.8586]
Epoch 24:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3419, dice=0.8586]
Epoch 24:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3504, dice=0.8558]
Epoch 24: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3504, dice=0.8558]
Epoch 24: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3504, dice=0.8558]
Epoch 24: train_loss=0.3504, train_dice=0.8558

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Epoch 24: val_loss=0.3865, val_dice=0.7861

Epoch 25:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 25:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3622, dice=0.8494]
Epoch 25:  10%|█         | 1/10 [00:10<01:34, 10.47s/it, loss=0.3622, dice=0.8494]
Epoch 25:  10%|█         | 1/10 [00:20<01:34, 10.47s/it, loss=0.3588, dice=0.8244]
Epoch 25:  20%|██        | 2/10 [00:20<01:23, 10.50s/it, loss=0.3588, dice=0.8244]
Epoch 25:  20%|██        | 2/10 [00:31<01:23, 10.50s/it, loss=0.3402, dice=0.8518]
Epoch 25:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3402, dice=0.8518]
Epoch 25:  30%|███       | 3/10 [00:42<01:13, 10.50s/it, loss=0.3520, dice=0.8530]
Epoch 25:  40%|████      | 4/10 [00:42<01:03, 10.51s/it, loss=0.3520, dice=0.8530]
Epoch 25:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3615, dice=0.8585]
Epoch 25:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.3615, dice=0.8585]
Epoch 25:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.3530, dice=0.8668]
Epoch 25:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3530, dice=0.8668]
Epoch 25:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3689, dice=0.8274]
Epoch 25:  70%|███████   | 7/10 [01:13<00:31, 10.53s/it, loss=0.3689, dice=0.8274]
Epoch 25:  70%|███████   | 7/10 [01:24<00:31, 10.53s/it, loss=0.3792, dice=0.8125]
Epoch 25:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3792, dice=0.8125]
Epoch 25:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3664, dice=0.8268]
Epoch 25:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3664, dice=0.8268]
Epoch 25:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3724, dice=0.8234]
Epoch 25: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3724, dice=0.8234]
Epoch 25: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3724, dice=0.8234]
Epoch 25: train_loss=0.3724, train_dice=0.8234

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<00:06,  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,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 25: val_loss=0.3856, val_dice=0.7895

Epoch 26:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 26:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3436, dice=0.9074]
Epoch 26:  10%|█         | 1/10 [00:10<01:34, 10.47s/it, loss=0.3436, dice=0.9074]
Epoch 26:  10%|█         | 1/10 [00:20<01:34, 10.47s/it, loss=0.3547, dice=0.9007]
Epoch 26:  20%|██        | 2/10 [00:20<01:24, 10.50s/it, loss=0.3547, dice=0.9007]
Epoch 26:  20%|██        | 2/10 [00:31<01:24, 10.50s/it, loss=0.3609, dice=0.9112]
Epoch 26:  30%|███       | 3/10 [00:31<01:13, 10.49s/it, loss=0.3609, dice=0.9112]
Epoch 26:  30%|███       | 3/10 [00:42<01:13, 10.49s/it, loss=0.3718, dice=0.9024]
Epoch 26:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.3718, dice=0.9024]
Epoch 26:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3744, dice=0.8854]
Epoch 26:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3744, dice=0.8854]
Epoch 26:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3798, dice=0.8593]
Epoch 26:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.3798, dice=0.8593]
Epoch 26:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.3784, dice=0.8619]
Epoch 26:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.3784, dice=0.8619]
Epoch 26:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.3891, dice=0.8178]
Epoch 26:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3891, dice=0.8178]
Epoch 26:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3945, dice=0.8128]
Epoch 26:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.3945, dice=0.8128]
Epoch 26:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3971, dice=0.8090]
Epoch 26: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3971, dice=0.8090]
Epoch 26: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3971, dice=0.8090]
Epoch 26: train_loss=0.3971, train_dice=0.8090

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.77s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:18,  1.81s/it]
Validating:  25%|██▌       | 3/12 [00:05<00:15,  1.77s/it]
Validating:  33%|███▎      | 4/12 [00:07<00:14,  1.78s/it]
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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,  1.75s/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,  1.76s/it]
Epoch 26: val_loss=0.3874, val_dice=0.7749

Epoch 27:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 27:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3027, dice=0.9002]
Epoch 27:  10%|█         | 1/10 [00:10<01:33, 10.39s/it, loss=0.3027, dice=0.9002]
Epoch 27:  10%|█         | 1/10 [00:20<01:33, 10.39s/it, loss=0.3503, dice=0.8937]
Epoch 27:  20%|██        | 2/10 [00:20<01:23, 10.44s/it, loss=0.3503, dice=0.8937]
Epoch 27:  20%|██        | 2/10 [00:31<01:23, 10.44s/it, loss=0.3407, dice=0.9040]
Epoch 27:  30%|███       | 3/10 [00:31<01:13, 10.48s/it, loss=0.3407, dice=0.9040]
Epoch 27:  30%|███       | 3/10 [00:41<01:13, 10.48s/it, loss=0.3636, dice=0.8770]
Epoch 27:  40%|████      | 4/10 [00:41<01:03, 10.52s/it, loss=0.3636, dice=0.8770]
Epoch 27:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3588, dice=0.8846]
Epoch 27:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.3588, dice=0.8846]
Epoch 27:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.3762, dice=0.8373]
Epoch 27:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3762, dice=0.8373]
Epoch 27:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.3666, dice=0.8489]
Epoch 27:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.3666, dice=0.8489]
Epoch 27:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.3655, dice=0.8550]
Epoch 27:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3655, dice=0.8550]
Epoch 27:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3657, dice=0.8532]
Epoch 27:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.3657, dice=0.8532]
Epoch 27:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3612, dice=0.8561]
Epoch 27: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3612, dice=0.8561]
Epoch 27: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3612, dice=0.8561]
Epoch 27: train_loss=0.3612, train_dice=0.8561

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.75s/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,  1.77s/it]
Epoch 27: val_loss=0.3850, val_dice=0.7832

Epoch 28:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 28:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3207, dice=0.9234]
Epoch 28:  10%|█         | 1/10 [00:10<01:33, 10.40s/it, loss=0.3207, dice=0.9234]
Epoch 28:  10%|█         | 1/10 [00:20<01:33, 10.40s/it, loss=0.3356, dice=0.8973]
Epoch 28:  20%|██        | 2/10 [00:20<01:23, 10.46s/it, loss=0.3356, dice=0.8973]
Epoch 28:  20%|██        | 2/10 [00:31<01:23, 10.46s/it, loss=0.3506, dice=0.8703]
Epoch 28:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3506, dice=0.8703]
Epoch 28:  30%|███       | 3/10 [00:41<01:13, 10.50s/it, loss=0.3753, dice=0.8364]
Epoch 28:  40%|████      | 4/10 [00:41<01:03, 10.52s/it, loss=0.3753, dice=0.8364]
Epoch 28:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3779, dice=0.8463]
Epoch 28:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.3779, dice=0.8463]
Epoch 28:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.3857, dice=0.8465]
Epoch 28:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3857, dice=0.8465]
Epoch 28:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3898, dice=0.8371]
Epoch 28:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.3898, dice=0.8371]
Epoch 28:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.3890, dice=0.8339]
Epoch 28:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.3890, dice=0.8339]
Epoch 28:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.3848, dice=0.8309]
Epoch 28:  90%|█████████ | 9/10 [01:34<00:10, 10.52s/it, loss=0.3848, dice=0.8309]
Epoch 28:  90%|█████████ | 9/10 [01:45<00:10, 10.52s/it, loss=0.3819, dice=0.8330]
Epoch 28: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3819, dice=0.8330]
Epoch 28: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3819, dice=0.8330]
Epoch 28: train_loss=0.3819, train_dice=0.8330

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.76s/it]
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Validating:  50%|█████     | 6/12 [00:10<00:10,  1.75s/it]
Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.74s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.74s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.75s/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 28: val_loss=0.3844, val_dice=0.7736

Epoch 29:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 29:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3319, dice=0.9003]
Epoch 29:  10%|█         | 1/10 [00:10<01:34, 10.45s/it, loss=0.3319, dice=0.9003]
Epoch 29:  10%|█         | 1/10 [00:20<01:34, 10.45s/it, loss=0.3193, dice=0.9165]
Epoch 29:  20%|██        | 2/10 [00:20<01:23, 10.47s/it, loss=0.3193, dice=0.9165]
Epoch 29:  20%|██        | 2/10 [00:31<01:23, 10.47s/it, loss=0.3347, dice=0.8930]
Epoch 29:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3347, dice=0.8930]
Epoch 29:  30%|███       | 3/10 [00:42<01:13, 10.50s/it, loss=0.3422, dice=0.8837]
Epoch 29:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.3422, dice=0.8837]
Epoch 29:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3336, dice=0.8791]
Epoch 29:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3336, dice=0.8791]
Epoch 29:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3427, dice=0.8611]
Epoch 29:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.3427, dice=0.8611]
Epoch 29:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.3393, dice=0.8696]
Epoch 29:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.3393, dice=0.8696]
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Epoch 29:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3496, dice=0.8674]
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Epoch 29: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3496, dice=0.8674]
Epoch 29: train_loss=0.3496, train_dice=0.8674

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Epoch 29: val_loss=0.3830, val_dice=0.7929
  New best val dice: 0.7929
Saved LoRA weights to /root/githubs/sam3/checkpoints/checkpoints/best_lora_weights.pt
Saved decoder weights to /root/githubs/sam3/checkpoints/checkpoints/best_decoder_weights.pt

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Epoch 30:  90%|█████████ | 9/10 [01:45<00:10, 10.58s/it, loss=0.3743, dice=0.8354]
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Epoch 30: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.3743, dice=0.8354]
Epoch 30: train_loss=0.3743, train_dice=0.8354

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Epoch 30: val_loss=0.3826, val_dice=0.7823

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Epoch 31:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3773, dice=0.8568]
Epoch 31: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3773, dice=0.8568]
Epoch 31: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3773, dice=0.8568]
Epoch 31: train_loss=0.3773, train_dice=0.8568

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 31: val_loss=0.3833, val_dice=0.7452

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Epoch 32:  40%|████      | 4/10 [00:52<01:02, 10.50s/it, loss=0.4119, dice=0.7208]
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Epoch 32:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3952, dice=0.7783]
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Epoch 32:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.3817, dice=0.8001]
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Epoch 32: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3817, dice=0.8001]
Epoch 32: train_loss=0.3817, train_dice=0.8001

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 32: val_loss=0.3804, val_dice=0.7877

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Epoch 33:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.3824, dice=0.8415]
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Epoch 33:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3806, dice=0.8182]
Epoch 33:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.3806, dice=0.8182]
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Epoch 33:  90%|█████████ | 9/10 [01:45<00:10, 10.57s/it, loss=0.3793, dice=0.8285]
Epoch 33: 100%|██████████| 10/10 [01:45<00:00, 10.58s/it, loss=0.3793, dice=0.8285]
Epoch 33: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.3793, dice=0.8285]
Epoch 33: train_loss=0.3793, train_dice=0.8285

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 33: val_loss=0.3808, val_dice=0.7877

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Epoch 34:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.3744, dice=0.8296]
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Epoch 34:  80%|████████  | 8/10 [01:24<00:21, 10.57s/it, loss=0.3755, dice=0.8297]
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Epoch 34:  90%|█████████ | 9/10 [01:34<00:10, 10.57s/it, loss=0.3702, dice=0.8295]
Epoch 34:  90%|█████████ | 9/10 [01:45<00:10, 10.57s/it, loss=0.3764, dice=0.8112]
Epoch 34: 100%|██████████| 10/10 [01:45<00:00, 10.58s/it, loss=0.3764, dice=0.8112]
Epoch 34: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3764, dice=0.8112]
Epoch 34: train_loss=0.3764, train_dice=0.8112

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 34: val_loss=0.3807, val_dice=0.7770

Epoch 35:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 35:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3457, dice=0.8651]
Epoch 35:  10%|█         | 1/10 [00:10<01:33, 10.39s/it, loss=0.3457, dice=0.8651]
Epoch 35:  10%|█         | 1/10 [00:20<01:33, 10.39s/it, loss=0.3722, dice=0.8704]
Epoch 35:  20%|██        | 2/10 [00:20<01:23, 10.45s/it, loss=0.3722, dice=0.8704]
Epoch 35:  20%|██        | 2/10 [00:31<01:23, 10.45s/it, loss=0.3807, dice=0.8561]
Epoch 35:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.3807, dice=0.8561]
Epoch 35:  30%|███       | 3/10 [00:41<01:13, 10.51s/it, loss=0.3606, dice=0.8747]
Epoch 35:  40%|████      | 4/10 [00:41<01:03, 10.51s/it, loss=0.3606, dice=0.8747]
Epoch 35:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3730, dice=0.8596]
Epoch 35:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3730, dice=0.8596]
Epoch 35:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3720, dice=0.8678]
Epoch 35:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.3720, dice=0.8678]
Epoch 35:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.3767, dice=0.8597]
Epoch 35:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.3767, dice=0.8597]
Epoch 35:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3715, dice=0.8655]
Epoch 35:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.3715, dice=0.8655]
Epoch 35:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.3634, dice=0.8697]
Epoch 35:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3634, dice=0.8697]
Epoch 35:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3719, dice=0.8523]
Epoch 35: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3719, dice=0.8523]
Epoch 35: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3719, dice=0.8523]
Epoch 35: train_loss=0.3719, train_dice=0.8523

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating:  67%|██████▋   | 8/12 [00:14<00:07,  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,  1.76s/it]
Epoch 35: val_loss=0.3808, val_dice=0.7851

Epoch 36:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 36:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3506, dice=0.9083]
Epoch 36:  10%|█         | 1/10 [00:10<01:33, 10.42s/it, loss=0.3506, dice=0.9083]
Epoch 36:  10%|█         | 1/10 [00:20<01:33, 10.42s/it, loss=0.3963, dice=0.8384]
Epoch 36:  20%|██        | 2/10 [00:20<01:23, 10.46s/it, loss=0.3963, dice=0.8384]
Epoch 36:  20%|██        | 2/10 [00:31<01:23, 10.46s/it, loss=0.3913, dice=0.8388]
Epoch 36:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3913, dice=0.8388]
Epoch 36:  30%|███       | 3/10 [00:42<01:13, 10.50s/it, loss=0.3829, dice=0.8545]
Epoch 36:  40%|████      | 4/10 [00:42<01:03, 10.55s/it, loss=0.3829, dice=0.8545]
Epoch 36:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.3772, dice=0.8511]
Epoch 36:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.3772, dice=0.8511]
Epoch 36:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.3938, dice=0.7805]
Epoch 36:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3938, dice=0.7805]
Epoch 36:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.4029, dice=0.7525]
Epoch 36:  70%|███████   | 7/10 [01:13<00:31, 10.56s/it, loss=0.4029, dice=0.7525]
Epoch 36:  70%|███████   | 7/10 [01:24<00:31, 10.56s/it, loss=0.4103, dice=0.7476]
Epoch 36:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.4103, dice=0.7476]
Epoch 36:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.4128, dice=0.7454]
Epoch 36:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.4128, dice=0.7454]
Epoch 36:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.4072, dice=0.7583]
Epoch 36: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.4072, dice=0.7583]
Epoch 36: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.4072, dice=0.7583]
Epoch 36: train_loss=0.4072, train_dice=0.7583

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.75s/it]
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Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.81s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.79s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.78s/it]
Epoch 36: val_loss=0.3810, val_dice=0.7818

Epoch 37:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 37:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3537, dice=0.8808]
Epoch 37:  10%|█         | 1/10 [00:10<01:33, 10.42s/it, loss=0.3537, dice=0.8808]
Epoch 37:  10%|█         | 1/10 [00:20<01:33, 10.42s/it, loss=0.3243, dice=0.8930]
Epoch 37:  20%|██        | 2/10 [00:20<01:24, 10.51s/it, loss=0.3243, dice=0.8930]
Epoch 37:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.3325, dice=0.8959]
Epoch 37:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.3325, dice=0.8959]
Epoch 37:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.3522, dice=0.8626]
Epoch 37:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.3522, dice=0.8626]
Epoch 37:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3510, dice=0.8608]
Epoch 37:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3510, dice=0.8608]
Epoch 37:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3593, dice=0.8431]
Epoch 37:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3593, dice=0.8431]
Epoch 37:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.3563, dice=0.8393]
Epoch 37:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.3563, dice=0.8393]
Epoch 37:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.3614, dice=0.8458]
Epoch 37:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3614, dice=0.8458]
Epoch 37:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3515, dice=0.8534]
Epoch 37:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3515, dice=0.8534]
Epoch 37:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3592, dice=0.8508]
Epoch 37: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3592, dice=0.8508]
Epoch 37: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3592, dice=0.8508]
Epoch 37: train_loss=0.3592, train_dice=0.8508

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.77s/it]
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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 37: val_loss=0.3793, val_dice=0.7820

Epoch 38:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 38:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3144, dice=0.8819]
Epoch 38:  10%|█         | 1/10 [00:10<01:34, 10.47s/it, loss=0.3144, dice=0.8819]
Epoch 38:  10%|█         | 1/10 [00:20<01:34, 10.47s/it, loss=0.3300, dice=0.8644]
Epoch 38:  20%|██        | 2/10 [00:20<01:23, 10.48s/it, loss=0.3300, dice=0.8644]
Epoch 38:  20%|██        | 2/10 [00:31<01:23, 10.48s/it, loss=0.3542, dice=0.8371]
Epoch 38:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3542, dice=0.8371]
Epoch 38:  30%|███       | 3/10 [00:42<01:13, 10.50s/it, loss=0.3684, dice=0.8178]
Epoch 38:  40%|████      | 4/10 [00:42<01:03, 10.51s/it, loss=0.3684, dice=0.8178]
Epoch 38:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3789, dice=0.8256]
Epoch 38:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3789, dice=0.8256]
Epoch 38:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3767, dice=0.8372]
Epoch 38:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3767, dice=0.8372]
Epoch 38:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3776, dice=0.8397]
Epoch 38:  70%|███████   | 7/10 [01:13<00:31, 10.52s/it, loss=0.3776, dice=0.8397]
Epoch 38:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.3786, dice=0.8379]
Epoch 38:  80%|████████  | 8/10 [01:24<00:21, 10.52s/it, loss=0.3786, dice=0.8379]
Epoch 38:  80%|████████  | 8/10 [01:34<00:21, 10.52s/it, loss=0.3776, dice=0.8364]
Epoch 38:  90%|█████████ | 9/10 [01:34<00:10, 10.52s/it, loss=0.3776, dice=0.8364]
Epoch 38:  90%|█████████ | 9/10 [01:45<00:10, 10.52s/it, loss=0.3755, dice=0.8429]
Epoch 38: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3755, dice=0.8429]
Epoch 38: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3755, dice=0.8429]
Epoch 38: train_loss=0.3755, train_dice=0.8429

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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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,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 38: val_loss=0.3792, val_dice=0.7877

Epoch 39:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 39:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.2520, dice=0.9484]
Epoch 39:  10%|█         | 1/10 [00:10<01:33, 10.42s/it, loss=0.2520, dice=0.9484]
Epoch 39:  10%|█         | 1/10 [00:20<01:33, 10.42s/it, loss=0.3488, dice=0.8850]
Epoch 39:  20%|██        | 2/10 [00:20<01:24, 10.51s/it, loss=0.3488, dice=0.8850]
Epoch 39:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.3542, dice=0.9025]
Epoch 39:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.3542, dice=0.9025]
Epoch 39:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.3610, dice=0.8792]
Epoch 39:  40%|████      | 4/10 [00:42<01:03, 10.51s/it, loss=0.3610, dice=0.8792]
Epoch 39:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3754, dice=0.8664]
Epoch 39:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.3754, dice=0.8664]
Epoch 39:  50%|█████     | 5/10 [01:03<00:52, 10.51s/it, loss=0.3789, dice=0.8600]
Epoch 39:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3789, dice=0.8600]
Epoch 39:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3774, dice=0.8558]
Epoch 39:  70%|███████   | 7/10 [01:13<00:31, 10.52s/it, loss=0.3774, dice=0.8558]
Epoch 39:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.3661, dice=0.8592]
Epoch 39:  80%|████████  | 8/10 [01:24<00:21, 10.52s/it, loss=0.3661, dice=0.8592]
Epoch 39:  80%|████████  | 8/10 [01:34<00:21, 10.52s/it, loss=0.3644, dice=0.8646]
Epoch 39:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.3644, dice=0.8646]
Epoch 39:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3630, dice=0.8670]
Epoch 39: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3630, dice=0.8670]
Epoch 39: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3630, dice=0.8670]
Epoch 39: train_loss=0.3630, train_dice=0.8670

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 39: val_loss=0.3784, val_dice=0.7808

Epoch 40:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 40:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4549, dice=0.6354]
Epoch 40:  10%|█         | 1/10 [00:10<01:36, 10.69s/it, loss=0.4549, dice=0.6354]
Epoch 40:  10%|█         | 1/10 [00:21<01:36, 10.69s/it, loss=0.3899, dice=0.7314]
Epoch 40:  20%|██        | 2/10 [00:21<01:24, 10.60s/it, loss=0.3899, dice=0.7314]
Epoch 40:  20%|██        | 2/10 [00:31<01:24, 10.60s/it, loss=0.3742, dice=0.7756]
Epoch 40:  30%|███       | 3/10 [00:31<01:13, 10.55s/it, loss=0.3742, dice=0.7756]
Epoch 40:  30%|███       | 3/10 [00:42<01:13, 10.55s/it, loss=0.3643, dice=0.7959]
Epoch 40:  40%|████      | 4/10 [00:42<01:03, 10.53s/it, loss=0.3643, dice=0.7959]
Epoch 40:  40%|████      | 4/10 [00:52<01:03, 10.53s/it, loss=0.3610, dice=0.8131]
Epoch 40:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.3610, dice=0.8131]
Epoch 40:  50%|█████     | 5/10 [01:03<00:52, 10.51s/it, loss=0.3591, dice=0.8278]
Epoch 40:  60%|██████    | 6/10 [01:03<00:42, 10.51s/it, loss=0.3591, dice=0.8278]
Epoch 40:  60%|██████    | 6/10 [01:13<00:42, 10.51s/it, loss=0.3594, dice=0.8364]
Epoch 40:  70%|███████   | 7/10 [01:13<00:31, 10.52s/it, loss=0.3594, dice=0.8364]
Epoch 40:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.3704, dice=0.8152]
Epoch 40:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3704, dice=0.8152]
Epoch 40:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3773, dice=0.8099]
Epoch 40:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.3773, dice=0.8099]
Epoch 40:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3690, dice=0.8156]
Epoch 40: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3690, dice=0.8156]
Epoch 40: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3690, dice=0.8156]
Epoch 40: train_loss=0.3690, train_dice=0.8156

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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 40: val_loss=0.3786, val_dice=0.7895

Epoch 41:   0%|          | 0/10 [00:00<?, ?it/s]
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Epoch 41:  10%|█         | 1/10 [00:20<01:34, 10.46s/it, loss=0.4053, dice=0.8224]
Epoch 41:  20%|██        | 2/10 [00:20<01:23, 10.47s/it, loss=0.4053, dice=0.8224]
Epoch 41:  20%|██        | 2/10 [00:31<01:23, 10.47s/it, loss=0.3965, dice=0.8427]
Epoch 41:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.3965, dice=0.8427]
Epoch 41:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.4001, dice=0.8489]
Epoch 41:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.4001, dice=0.8489]
Epoch 41:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3904, dice=0.8585]
Epoch 41:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3904, dice=0.8585]
Epoch 41:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3924, dice=0.8484]
Epoch 41:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3924, dice=0.8484]
Epoch 41:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3884, dice=0.8556]
Epoch 41:  70%|███████   | 7/10 [01:13<00:31, 10.52s/it, loss=0.3884, dice=0.8556]
Epoch 41:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.3934, dice=0.8496]
Epoch 41:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.3934, dice=0.8496]
Epoch 41:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.3967, dice=0.8396]
Epoch 41:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3967, dice=0.8396]
Epoch 41:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3858, dice=0.8437]
Epoch 41: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3858, dice=0.8437]
Epoch 41: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3858, dice=0.8437]
Epoch 41: train_loss=0.3858, train_dice=0.8437

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 41: val_loss=0.3785, val_dice=0.7840

Epoch 42:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 42:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3445, dice=0.8435]
Epoch 42:  10%|█         | 1/10 [00:10<01:33, 10.40s/it, loss=0.3445, dice=0.8435]
Epoch 42:  10%|█         | 1/10 [00:20<01:33, 10.40s/it, loss=0.3335, dice=0.8452]
Epoch 42:  20%|██        | 2/10 [00:20<01:23, 10.48s/it, loss=0.3335, dice=0.8452]
Epoch 42:  20%|██        | 2/10 [00:31<01:23, 10.48s/it, loss=0.3193, dice=0.8654]
Epoch 42:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.3193, dice=0.8654]
Epoch 42:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.3304, dice=0.8807]
Epoch 42:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.3304, dice=0.8807]
Epoch 42:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3504, dice=0.8659]
Epoch 42:  50%|█████     | 5/10 [00:52<00:52, 10.54s/it, loss=0.3504, dice=0.8659]
Epoch 42:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.3519, dice=0.8675]
Epoch 42:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3519, dice=0.8675]
Epoch 42:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3616, dice=0.8670]
Epoch 42:  70%|███████   | 7/10 [01:13<00:31, 10.53s/it, loss=0.3616, dice=0.8670]
Epoch 42:  70%|███████   | 7/10 [01:24<00:31, 10.53s/it, loss=0.3477, dice=0.8772]
Epoch 42:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.3477, dice=0.8772]
Epoch 42:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.3476, dice=0.8794]
Epoch 42:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3476, dice=0.8794]
Epoch 42:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3399, dice=0.8832]
Epoch 42: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3399, dice=0.8832]
Epoch 42: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3399, dice=0.8832]
Epoch 42: train_loss=0.3399, train_dice=0.8832

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 42: val_loss=0.3771, val_dice=0.7926

Epoch 43:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 43:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3546, dice=0.9042]
Epoch 43:  10%|█         | 1/10 [00:10<01:33, 10.34s/it, loss=0.3546, dice=0.9042]
Epoch 43:  10%|█         | 1/10 [00:20<01:33, 10.34s/it, loss=0.3778, dice=0.8565]
Epoch 43:  20%|██        | 2/10 [00:20<01:23, 10.45s/it, loss=0.3778, dice=0.8565]
Epoch 43:  20%|██        | 2/10 [00:31<01:23, 10.45s/it, loss=0.3851, dice=0.8229]
Epoch 43:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3851, dice=0.8229]
Epoch 43:  30%|███       | 3/10 [00:41<01:13, 10.50s/it, loss=0.3851, dice=0.8391]
Epoch 43:  40%|████      | 4/10 [00:41<01:03, 10.51s/it, loss=0.3851, dice=0.8391]
Epoch 43:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3834, dice=0.8355]
Epoch 43:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3834, dice=0.8355]
Epoch 43:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3764, dice=0.8418]
Epoch 43:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3764, dice=0.8418]
Epoch 43:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.3689, dice=0.8485]
Epoch 43:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.3689, dice=0.8485]
Epoch 43:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3595, dice=0.8551]
Epoch 43:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3595, dice=0.8551]
Epoch 43:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3723, dice=0.8063]
Epoch 43:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.3723, dice=0.8063]
Epoch 43:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3694, dice=0.8107]
Epoch 43: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.3694, dice=0.8107]
Epoch 43: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3694, dice=0.8107]
Epoch 43: train_loss=0.3694, train_dice=0.8107

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 43: val_loss=0.3773, val_dice=0.7847

Epoch 44:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 44:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3996, dice=0.8109]
Epoch 44:  10%|█         | 1/10 [00:10<01:34, 10.47s/it, loss=0.3996, dice=0.8109]
Epoch 44:  10%|█         | 1/10 [00:20<01:34, 10.47s/it, loss=0.3753, dice=0.8493]
Epoch 44:  20%|██        | 2/10 [00:20<01:23, 10.49s/it, loss=0.3753, dice=0.8493]
Epoch 44:  20%|██        | 2/10 [00:31<01:23, 10.49s/it, loss=0.3764, dice=0.8379]
Epoch 44:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.3764, dice=0.8379]
Epoch 44:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.3904, dice=0.8296]
Epoch 44:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.3904, dice=0.8296]
Epoch 44:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3961, dice=0.8252]
Epoch 44:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.3961, dice=0.8252]
Epoch 44:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.3839, dice=0.8264]
Epoch 44:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3839, dice=0.8264]
Epoch 44:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.3925, dice=0.8231]
Epoch 44:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.3925, dice=0.8231]
Epoch 44:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.3871, dice=0.8328]
Epoch 44:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3871, dice=0.8328]
Epoch 44:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3841, dice=0.8310]
Epoch 44:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.3841, dice=0.8310]
Epoch 44:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3789, dice=0.8396]
Epoch 44: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3789, dice=0.8396]
Epoch 44: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3789, dice=0.8396]
Epoch 44: train_loss=0.3789, train_dice=0.8396

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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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 44: val_loss=0.3778, val_dice=0.7856

Epoch 45:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 45:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.2744, dice=0.9224]
Epoch 45:  10%|█         | 1/10 [00:10<01:33, 10.43s/it, loss=0.2744, dice=0.9224]
Epoch 45:  10%|█         | 1/10 [00:20<01:33, 10.43s/it, loss=0.3152, dice=0.8851]
Epoch 45:  20%|██        | 2/10 [00:20<01:23, 10.48s/it, loss=0.3152, dice=0.8851]
Epoch 45:  20%|██        | 2/10 [00:31<01:23, 10.48s/it, loss=0.3416, dice=0.8691]
Epoch 45:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3416, dice=0.8691]
Epoch 45:  30%|███       | 3/10 [00:41<01:13, 10.50s/it, loss=0.3515, dice=0.8692]
Epoch 45:  40%|████      | 4/10 [00:41<01:03, 10.50s/it, loss=0.3515, dice=0.8692]
Epoch 45:  40%|████      | 4/10 [00:52<01:03, 10.50s/it, loss=0.3721, dice=0.8279]
Epoch 45:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.3721, dice=0.8279]
Epoch 45:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.3763, dice=0.8186]
Epoch 45:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3763, dice=0.8186]
Epoch 45:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.3881, dice=0.7943]
Epoch 45:  70%|███████   | 7/10 [01:13<00:31, 10.52s/it, loss=0.3881, dice=0.7943]
Epoch 45:  70%|███████   | 7/10 [01:24<00:31, 10.52s/it, loss=0.3708, dice=0.8132]
Epoch 45:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.3708, dice=0.8132]
Epoch 45:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.3588, dice=0.8263]
Epoch 45:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.3588, dice=0.8263]
Epoch 45:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3659, dice=0.8254]
Epoch 45: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.3659, dice=0.8254]
Epoch 45: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3659, dice=0.8254]
Epoch 45: train_loss=0.3659, train_dice=0.8254

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 45: val_loss=0.3771, val_dice=0.7867

Epoch 46:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 46:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3434, dice=0.8432]
Epoch 46:  10%|█         | 1/10 [00:10<01:33, 10.44s/it, loss=0.3434, dice=0.8432]
Epoch 46:  10%|█         | 1/10 [00:21<01:33, 10.44s/it, loss=0.3953, dice=0.7560]
Epoch 46:  20%|██        | 2/10 [00:21<01:24, 10.51s/it, loss=0.3953, dice=0.7560]
Epoch 46:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.3820, dice=0.8007]
Epoch 46:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.3820, dice=0.8007]
Epoch 46:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.3523, dice=0.8331]
Epoch 46:  40%|████      | 4/10 [00:42<01:03, 10.55s/it, loss=0.3523, dice=0.8331]
Epoch 46:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.3726, dice=0.8002]
Epoch 46:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.3726, dice=0.8002]
Epoch 46:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.3695, dice=0.8153]
Epoch 46:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3695, dice=0.8153]
Epoch 46:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3823, dice=0.7829]
Epoch 46:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.3823, dice=0.7829]
Epoch 46:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3714, dice=0.7982]
Epoch 46:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.3714, dice=0.7982]
Epoch 46:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.3670, dice=0.8100]
Epoch 46:  90%|█████████ | 9/10 [01:34<00:10, 10.56s/it, loss=0.3670, dice=0.8100]
Epoch 46:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.3594, dice=0.8199]
Epoch 46: 100%|██████████| 10/10 [01:45<00:00, 10.57s/it, loss=0.3594, dice=0.8199]
Epoch 46: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3594, dice=0.8199]
Epoch 46: train_loss=0.3594, train_dice=0.8199

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 46: val_loss=0.3768, val_dice=0.7859

Epoch 47:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 47:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3672, dice=0.8168]
Epoch 47:  10%|█         | 1/10 [00:10<01:34, 10.46s/it, loss=0.3672, dice=0.8168]
Epoch 47:  10%|█         | 1/10 [00:20<01:34, 10.46s/it, loss=0.3626, dice=0.8631]
Epoch 47:  20%|██        | 2/10 [00:20<01:23, 10.46s/it, loss=0.3626, dice=0.8631]
Epoch 47:  20%|██        | 2/10 [00:31<01:23, 10.46s/it, loss=0.3368, dice=0.8702]
Epoch 47:  30%|███       | 3/10 [00:31<01:13, 10.49s/it, loss=0.3368, dice=0.8702]
Epoch 47:  30%|███       | 3/10 [00:42<01:13, 10.49s/it, loss=0.3525, dice=0.8396]
Epoch 47:  40%|████      | 4/10 [00:42<01:03, 10.53s/it, loss=0.3525, dice=0.8396]
Epoch 47:  40%|████      | 4/10 [00:52<01:03, 10.53s/it, loss=0.3530, dice=0.8490]
Epoch 47:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3530, dice=0.8490]
Epoch 47:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3734, dice=0.7826]
Epoch 47:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3734, dice=0.7826]
Epoch 47:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.3748, dice=0.7985]
Epoch 47:  70%|███████   | 7/10 [01:13<00:31, 10.53s/it, loss=0.3748, dice=0.7985]
Epoch 47:  70%|███████   | 7/10 [01:24<00:31, 10.53s/it, loss=0.3803, dice=0.7970]
Epoch 47:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3803, dice=0.7970]
Epoch 47:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3780, dice=0.7991]
Epoch 47:  90%|█████████ | 9/10 [01:34<00:10, 10.52s/it, loss=0.3780, dice=0.7991]
Epoch 47:  90%|█████████ | 9/10 [01:45<00:10, 10.52s/it, loss=0.3830, dice=0.7890]
Epoch 47: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3830, dice=0.7890]
Epoch 47: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3830, dice=0.7890]
Epoch 47: train_loss=0.3830, train_dice=0.7890

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.77s/it]
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Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.76s/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 47: val_loss=0.3775, val_dice=0.7824

Epoch 48:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 48:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3120, dice=0.9187]
Epoch 48:  10%|█         | 1/10 [00:10<01:34, 10.48s/it, loss=0.3120, dice=0.9187]
Epoch 48:  10%|█         | 1/10 [00:20<01:34, 10.48s/it, loss=0.3507, dice=0.9048]
Epoch 48:  20%|██        | 2/10 [00:20<01:23, 10.50s/it, loss=0.3507, dice=0.9048]
Epoch 48:  20%|██        | 2/10 [00:31<01:23, 10.50s/it, loss=0.3213, dice=0.9135]
Epoch 48:  30%|███       | 3/10 [00:31<01:13, 10.54s/it, loss=0.3213, dice=0.9135]
Epoch 48:  30%|███       | 3/10 [00:42<01:13, 10.54s/it, loss=0.3284, dice=0.9081]
Epoch 48:  40%|████      | 4/10 [00:42<01:03, 10.55s/it, loss=0.3284, dice=0.9081]
Epoch 48:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.3482, dice=0.8919]
Epoch 48:  50%|█████     | 5/10 [00:52<00:52, 10.56s/it, loss=0.3482, dice=0.8919]
Epoch 48:  50%|█████     | 5/10 [01:03<00:52, 10.56s/it, loss=0.3507, dice=0.8924]
Epoch 48:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3507, dice=0.8924]
Epoch 48:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.3549, dice=0.8876]
Epoch 48:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.3549, dice=0.8876]
Epoch 48:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3470, dice=0.8896]
Epoch 48:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3470, dice=0.8896]
Epoch 48:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3538, dice=0.8763]
Epoch 48:  90%|█████████ | 9/10 [01:34<00:10, 10.52s/it, loss=0.3538, dice=0.8763]
Epoch 48:  90%|█████████ | 9/10 [01:45<00:10, 10.52s/it, loss=0.3541, dice=0.8750]
Epoch 48: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3541, dice=0.8750]
Epoch 48: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3541, dice=0.8750]
Epoch 48: train_loss=0.3541, train_dice=0.8750

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.74s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.76s/it]
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Validating:  92%|█████████▏| 11/12 [00:19<00:01,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 48: val_loss=0.3769, val_dice=0.7867

Epoch 49:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 49:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3501, dice=0.8872]
Epoch 49:  10%|█         | 1/10 [00:10<01:33, 10.36s/it, loss=0.3501, dice=0.8872]
Epoch 49:  10%|█         | 1/10 [00:20<01:33, 10.36s/it, loss=0.3296, dice=0.9075]
Epoch 49:  20%|██        | 2/10 [00:20<01:23, 10.45s/it, loss=0.3296, dice=0.9075]
Epoch 49:  20%|██        | 2/10 [00:31<01:23, 10.45s/it, loss=0.3558, dice=0.8562]
Epoch 49:  30%|███       | 3/10 [00:31<01:13, 10.48s/it, loss=0.3558, dice=0.8562]
Epoch 49:  30%|███       | 3/10 [00:41<01:13, 10.48s/it, loss=0.3584, dice=0.8533]
Epoch 49:  40%|████      | 4/10 [00:41<01:03, 10.52s/it, loss=0.3584, dice=0.8533]
Epoch 49:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3646, dice=0.8619]
Epoch 49:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3646, dice=0.8619]
Epoch 49:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3489, dice=0.8704]
Epoch 49:  60%|██████    | 6/10 [01:03<00:42, 10.52s/it, loss=0.3489, dice=0.8704]
Epoch 49:  60%|██████    | 6/10 [01:13<00:42, 10.52s/it, loss=0.3532, dice=0.8620]
Epoch 49:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.3532, dice=0.8620]
Epoch 49:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3455, dice=0.8624]
Epoch 49:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3455, dice=0.8624]
Epoch 49:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3468, dice=0.8614]
Epoch 49:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3468, dice=0.8614]
Epoch 49:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3553, dice=0.8567]
Epoch 49: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3553, dice=0.8567]
Epoch 49: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3553, dice=0.8567]
Epoch 49: train_loss=0.3553, train_dice=0.8567

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
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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,  1.76s/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 49: val_loss=0.3765, val_dice=0.7846

Epoch 50:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 50:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3800, dice=0.8579]
Epoch 50:  10%|█         | 1/10 [00:10<01:33, 10.42s/it, loss=0.3800, dice=0.8579]
Epoch 50:  10%|█         | 1/10 [00:20<01:33, 10.42s/it, loss=0.3685, dice=0.8569]
Epoch 50:  20%|██        | 2/10 [00:20<01:23, 10.48s/it, loss=0.3685, dice=0.8569]
Epoch 50:  20%|██        | 2/10 [00:31<01:23, 10.48s/it, loss=0.3663, dice=0.8739]
Epoch 50:  30%|███       | 3/10 [00:31<01:13, 10.52s/it, loss=0.3663, dice=0.8739]
Epoch 50:  30%|███       | 3/10 [00:42<01:13, 10.52s/it, loss=0.3813, dice=0.8613]
Epoch 50:  40%|████      | 4/10 [00:42<01:03, 10.53s/it, loss=0.3813, dice=0.8613]
Epoch 50:  40%|████      | 4/10 [00:52<01:03, 10.53s/it, loss=0.3770, dice=0.8513]
Epoch 50:  50%|█████     | 5/10 [00:52<00:52, 10.54s/it, loss=0.3770, dice=0.8513]
Epoch 50:  50%|█████     | 5/10 [01:03<00:52, 10.54s/it, loss=0.3719, dice=0.8545]
Epoch 50:  60%|██████    | 6/10 [01:03<00:42, 10.56s/it, loss=0.3719, dice=0.8545]
Epoch 50:  60%|██████    | 6/10 [01:13<00:42, 10.56s/it, loss=0.3599, dice=0.8618]
Epoch 50:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.3599, dice=0.8618]
Epoch 50:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3603, dice=0.8648]
Epoch 50:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3603, dice=0.8648]
Epoch 50:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3583, dice=0.8597]
Epoch 50:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.3583, dice=0.8597]
Epoch 50:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3584, dice=0.8640]
Epoch 50: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3584, dice=0.8640]
Epoch 50: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3584, dice=0.8640]
Epoch 50: train_loss=0.3584, train_dice=0.8640

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.77s/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 50: val_loss=0.3763, val_dice=0.7904

Epoch 51:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 51:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3772, dice=0.8755]
Epoch 51:  10%|█         | 1/10 [00:10<01:33, 10.34s/it, loss=0.3772, dice=0.8755]
Epoch 51:  10%|█         | 1/10 [00:20<01:33, 10.34s/it, loss=0.3371, dice=0.9010]
Epoch 51:  20%|██        | 2/10 [00:20<01:23, 10.47s/it, loss=0.3371, dice=0.9010]
Epoch 51:  20%|██        | 2/10 [00:31<01:23, 10.47s/it, loss=0.3426, dice=0.8928]
Epoch 51:  30%|███       | 3/10 [00:31<01:13, 10.48s/it, loss=0.3426, dice=0.8928]
Epoch 51:  30%|███       | 3/10 [00:41<01:13, 10.48s/it, loss=0.3634, dice=0.8736]
Epoch 51:  40%|████      | 4/10 [00:41<01:03, 10.51s/it, loss=0.3634, dice=0.8736]
Epoch 51:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3623, dice=0.8743]
Epoch 51:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.3623, dice=0.8743]
Epoch 51:  50%|█████     | 5/10 [01:02<00:52, 10.51s/it, loss=0.3747, dice=0.8463]
Epoch 51:  60%|██████    | 6/10 [01:02<00:42, 10.51s/it, loss=0.3747, dice=0.8463]
Epoch 51:  60%|██████    | 6/10 [01:13<00:42, 10.51s/it, loss=0.3698, dice=0.8509]
Epoch 51:  70%|███████   | 7/10 [01:13<00:31, 10.51s/it, loss=0.3698, dice=0.8509]
Epoch 51:  70%|███████   | 7/10 [01:23<00:31, 10.51s/it, loss=0.3775, dice=0.8446]
Epoch 51:  80%|████████  | 8/10 [01:23<00:21, 10.51s/it, loss=0.3775, dice=0.8446]
Epoch 51:  80%|████████  | 8/10 [01:34<00:21, 10.51s/it, loss=0.3788, dice=0.8503]
Epoch 51:  90%|█████████ | 9/10 [01:34<00:10, 10.52s/it, loss=0.3788, dice=0.8503]
Epoch 51:  90%|█████████ | 9/10 [01:44<00:10, 10.52s/it, loss=0.3835, dice=0.8377]
Epoch 51: 100%|██████████| 10/10 [01:44<00:00, 10.50s/it, loss=0.3835, dice=0.8377]
Epoch 51: 100%|██████████| 10/10 [01:44<00:00, 10.50s/it, loss=0.3835, dice=0.8377]
Epoch 51: train_loss=0.3835, train_dice=0.8377

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<00:06,  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,  1.75s/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=0.3774, val_dice=0.7834

Epoch 52:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 52:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3620, dice=0.9183]
Epoch 52:  10%|█         | 1/10 [00:10<01:34, 10.45s/it, loss=0.3620, dice=0.9183]
Epoch 52:  10%|█         | 1/10 [00:21<01:34, 10.45s/it, loss=0.3358, dice=0.9038]
Epoch 52:  20%|██        | 2/10 [00:21<01:24, 10.52s/it, loss=0.3358, dice=0.9038]
Epoch 52:  20%|██        | 2/10 [00:31<01:24, 10.52s/it, loss=0.3662, dice=0.8785]
Epoch 52:  30%|███       | 3/10 [00:31<01:13, 10.54s/it, loss=0.3662, dice=0.8785]
Epoch 52:  30%|███       | 3/10 [00:42<01:13, 10.54s/it, loss=0.3597, dice=0.8769]
Epoch 52:  40%|████      | 4/10 [00:42<01:03, 10.53s/it, loss=0.3597, dice=0.8769]
Epoch 52:  40%|████      | 4/10 [00:52<01:03, 10.53s/it, loss=0.3374, dice=0.8908]
Epoch 52:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.3374, dice=0.8908]
Epoch 52:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.3382, dice=0.8847]
Epoch 52:  60%|██████    | 6/10 [01:03<00:42, 10.58s/it, loss=0.3382, dice=0.8847]
Epoch 52:  60%|██████    | 6/10 [01:13<00:42, 10.58s/it, loss=0.3373, dice=0.8806]
Epoch 52:  70%|███████   | 7/10 [01:13<00:31, 10.58s/it, loss=0.3373, dice=0.8806]
Epoch 52:  70%|███████   | 7/10 [01:24<00:31, 10.58s/it, loss=0.3450, dice=0.8711]
Epoch 52:  80%|████████  | 8/10 [01:24<00:21, 10.57s/it, loss=0.3450, dice=0.8711]
Epoch 52:  80%|████████  | 8/10 [01:34<00:21, 10.57s/it, loss=0.3453, dice=0.8757]
Epoch 52:  90%|█████████ | 9/10 [01:34<00:10, 10.56s/it, loss=0.3453, dice=0.8757]
Epoch 52:  90%|█████████ | 9/10 [01:45<00:10, 10.56s/it, loss=0.3537, dice=0.8675]
Epoch 52: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3537, dice=0.8675]
Epoch 52: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3537, dice=0.8675]
Epoch 52: train_loss=0.3537, train_dice=0.8675

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.77s/it]
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Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.76s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.76s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.78s/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,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 52: val_loss=0.3764, val_dice=0.7860

Epoch 53:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 53:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3790, dice=0.8199]
Epoch 53:  10%|█         | 1/10 [00:10<01:33, 10.43s/it, loss=0.3790, dice=0.8199]
Epoch 53:  10%|█         | 1/10 [00:20<01:33, 10.43s/it, loss=0.3660, dice=0.8617]
Epoch 53:  20%|██        | 2/10 [00:20<01:23, 10.47s/it, loss=0.3660, dice=0.8617]
Epoch 53:  20%|██        | 2/10 [00:31<01:23, 10.47s/it, loss=0.3621, dice=0.8685]
Epoch 53:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3621, dice=0.8685]
Epoch 53:  30%|███       | 3/10 [00:42<01:13, 10.50s/it, loss=0.3665, dice=0.8538]
Epoch 53:  40%|████      | 4/10 [00:42<01:03, 10.54s/it, loss=0.3665, dice=0.8538]
Epoch 53:  40%|████      | 4/10 [00:52<01:03, 10.54s/it, loss=0.3631, dice=0.8604]
Epoch 53:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3631, dice=0.8604]
Epoch 53:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3562, dice=0.8685]
Epoch 53:  60%|██████    | 6/10 [01:03<00:42, 10.58s/it, loss=0.3562, dice=0.8685]
Epoch 53:  60%|██████    | 6/10 [01:13<00:42, 10.58s/it, loss=0.3678, dice=0.8423]
Epoch 53:  70%|███████   | 7/10 [01:13<00:31, 10.57s/it, loss=0.3678, dice=0.8423]
Epoch 53:  70%|███████   | 7/10 [01:24<00:31, 10.57s/it, loss=0.3686, dice=0.8413]
Epoch 53:  80%|████████  | 8/10 [01:24<00:21, 10.58s/it, loss=0.3686, dice=0.8413]
Epoch 53:  80%|████████  | 8/10 [01:34<00:21, 10.58s/it, loss=0.3698, dice=0.8442]
Epoch 53:  90%|█████████ | 9/10 [01:34<00:10, 10.58s/it, loss=0.3698, dice=0.8442]
Epoch 53:  90%|█████████ | 9/10 [01:45<00:10, 10.58s/it, loss=0.3802, dice=0.8094]
Epoch 53: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.3802, dice=0.8094]
Epoch 53: 100%|██████████| 10/10 [01:45<00:00, 10.55s/it, loss=0.3802, dice=0.8094]
Epoch 53: train_loss=0.3802, train_dice=0.8094

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:20,  1.85s/it]
Validating:  17%|█▋        | 2/12 [00:03<00:18,  1.85s/it]
Validating:  25%|██▌       | 3/12 [00:05<00:16,  1.82s/it]
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Validating:  50%|█████     | 6/12 [00:10<00:10,  1.79s/it]
Validating:  58%|█████▊    | 7/12 [00:12<00:08,  1.78s/it]
Validating:  67%|██████▋   | 8/12 [00:14<00:07,  1.77s/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,  1.78s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.78s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.79s/it]
Epoch 53: val_loss=0.3772, val_dice=0.7827

Epoch 54:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 54:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4255, dice=0.8218]
Epoch 54:  10%|█         | 1/10 [00:10<01:33, 10.39s/it, loss=0.4255, dice=0.8218]
Epoch 54:  10%|█         | 1/10 [00:20<01:33, 10.39s/it, loss=0.3439, dice=0.8746]
Epoch 54:  20%|██        | 2/10 [00:20<01:23, 10.47s/it, loss=0.3439, dice=0.8746]
Epoch 54:  20%|██        | 2/10 [00:31<01:23, 10.47s/it, loss=0.3433, dice=0.8646]
Epoch 54:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3433, dice=0.8646]
Epoch 54:  30%|███       | 3/10 [00:41<01:13, 10.50s/it, loss=0.3725, dice=0.8341]
Epoch 54:  40%|████      | 4/10 [00:41<01:03, 10.51s/it, loss=0.3725, dice=0.8341]
Epoch 54:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3641, dice=0.8517]
Epoch 54:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.3641, dice=0.8517]
Epoch 54:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.3714, dice=0.8405]
Epoch 54:  60%|██████    | 6/10 [01:03<00:42, 10.52s/it, loss=0.3714, dice=0.8405]
Epoch 54:  60%|██████    | 6/10 [01:13<00:42, 10.52s/it, loss=0.3682, dice=0.8459]
Epoch 54:  70%|███████   | 7/10 [01:13<00:31, 10.53s/it, loss=0.3682, dice=0.8459]
Epoch 54:  70%|███████   | 7/10 [01:24<00:31, 10.53s/it, loss=0.3584, dice=0.8481]
Epoch 54:  80%|████████  | 8/10 [01:24<00:21, 10.53s/it, loss=0.3584, dice=0.8481]
Epoch 54:  80%|████████  | 8/10 [01:34<00:21, 10.53s/it, loss=0.3560, dice=0.8444]
Epoch 54:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3560, dice=0.8444]
Epoch 54:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3551, dice=0.8504]
Epoch 54: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3551, dice=0.8504]
Epoch 54: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3551, dice=0.8504]
Epoch 54: train_loss=0.3551, train_dice=0.8504

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.78s/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,  1.76s/it]
Validating:  75%|███████▌  | 9/12 [00:15<00:05,  1.78s/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,  1.77s/it]
Epoch 54: val_loss=0.3760, val_dice=0.7887

Epoch 55:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 55:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3098, dice=0.8864]
Epoch 55:  10%|█         | 1/10 [00:10<01:33, 10.43s/it, loss=0.3098, dice=0.8864]
Epoch 55:  10%|█         | 1/10 [00:20<01:33, 10.43s/it, loss=0.3441, dice=0.8632]
Epoch 55:  20%|██        | 2/10 [00:20<01:24, 10.51s/it, loss=0.3441, dice=0.8632]
Epoch 55:  20%|██        | 2/10 [00:31<01:24, 10.51s/it, loss=0.3821, dice=0.7916]
Epoch 55:  30%|███       | 3/10 [00:31<01:13, 10.50s/it, loss=0.3821, dice=0.7916]
Epoch 55:  30%|███       | 3/10 [00:42<01:13, 10.50s/it, loss=0.4055, dice=0.7100]
Epoch 55:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.4055, dice=0.7100]
Epoch 55:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.4081, dice=0.7398]
Epoch 55:  50%|█████     | 5/10 [00:52<00:52, 10.51s/it, loss=0.4081, dice=0.7398]
Epoch 55:  50%|█████     | 5/10 [01:03<00:52, 10.51s/it, loss=0.3813, dice=0.7748]
Epoch 55:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.3813, dice=0.7748]
Epoch 55:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.3785, dice=0.7948]
Epoch 55:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.3785, dice=0.7948]
Epoch 55:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.3748, dice=0.8048]
Epoch 55:  80%|████████  | 8/10 [01:24<00:21, 10.54s/it, loss=0.3748, dice=0.8048]
Epoch 55:  80%|████████  | 8/10 [01:34<00:21, 10.54s/it, loss=0.3699, dice=0.8180]
Epoch 55:  90%|█████████ | 9/10 [01:34<00:10, 10.53s/it, loss=0.3699, dice=0.8180]
Epoch 55:  90%|█████████ | 9/10 [01:45<00:10, 10.53s/it, loss=0.3759, dice=0.8141]
Epoch 55: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3759, dice=0.8141]
Epoch 55: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3759, dice=0.8141]
Epoch 55: train_loss=0.3759, train_dice=0.8141

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.78s/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=0.3766, val_dice=0.7869

Epoch 56:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 56:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.4445, dice=0.7582]
Epoch 56:  10%|█         | 1/10 [00:10<01:33, 10.43s/it, loss=0.4445, dice=0.7582]
Epoch 56:  10%|█         | 1/10 [00:21<01:33, 10.43s/it, loss=0.3780, dice=0.8366]
Epoch 56:  20%|██        | 2/10 [00:21<01:24, 10.54s/it, loss=0.3780, dice=0.8366]
Epoch 56:  20%|██        | 2/10 [00:31<01:24, 10.54s/it, loss=0.3843, dice=0.8163]
Epoch 56:  30%|███       | 3/10 [00:31<01:13, 10.56s/it, loss=0.3843, dice=0.8163]
Epoch 56:  30%|███       | 3/10 [00:42<01:13, 10.56s/it, loss=0.3867, dice=0.8349]
Epoch 56:  40%|████      | 4/10 [00:42<01:03, 10.55s/it, loss=0.3867, dice=0.8349]
Epoch 56:  40%|████      | 4/10 [00:52<01:03, 10.55s/it, loss=0.3794, dice=0.8431]
Epoch 56:  50%|█████     | 5/10 [00:52<00:52, 10.56s/it, loss=0.3794, dice=0.8431]
Epoch 56:  50%|█████     | 5/10 [01:03<00:52, 10.56s/it, loss=0.3757, dice=0.8455]
Epoch 56:  60%|██████    | 6/10 [01:03<00:42, 10.55s/it, loss=0.3757, dice=0.8455]
Epoch 56:  60%|██████    | 6/10 [01:13<00:42, 10.55s/it, loss=0.3810, dice=0.8384]
Epoch 56:  70%|███████   | 7/10 [01:13<00:31, 10.55s/it, loss=0.3810, dice=0.8384]
Epoch 56:  70%|███████   | 7/10 [01:24<00:31, 10.55s/it, loss=0.3871, dice=0.8339]
Epoch 56:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.3871, dice=0.8339]
Epoch 56:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.3873, dice=0.8402]
Epoch 56:  90%|█████████ | 9/10 [01:34<00:10, 10.54s/it, loss=0.3873, dice=0.8402]
Epoch 56:  90%|█████████ | 9/10 [01:45<00:10, 10.54s/it, loss=0.3869, dice=0.8456]
Epoch 56: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3869, dice=0.8456]
Epoch 56: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3869, dice=0.8456]
Epoch 56: train_loss=0.3869, train_dice=0.8456

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.77s/it]
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Validating:  67%|██████▋   | 8/12 [00:14<00:06,  1.74s/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,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.75s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.76s/it]
Epoch 56: val_loss=0.3773, val_dice=0.7816

Epoch 57:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 57:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3795, dice=0.8167]
Epoch 57:  10%|█         | 1/10 [00:10<01:33, 10.42s/it, loss=0.3795, dice=0.8167]
Epoch 57:  10%|█         | 1/10 [00:20<01:33, 10.42s/it, loss=0.3672, dice=0.8485]
Epoch 57:  20%|██        | 2/10 [00:20<01:23, 10.48s/it, loss=0.3672, dice=0.8485]
Epoch 57:  20%|██        | 2/10 [00:31<01:23, 10.48s/it, loss=0.3903, dice=0.7991]
Epoch 57:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.3903, dice=0.7991]
Epoch 57:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.4006, dice=0.8019]
Epoch 57:  40%|████      | 4/10 [00:42<01:03, 10.54s/it, loss=0.4006, dice=0.8019]
Epoch 57:  40%|████      | 4/10 [00:52<01:03, 10.54s/it, loss=0.4033, dice=0.7969]
Epoch 57:  50%|█████     | 5/10 [00:52<00:52, 10.55s/it, loss=0.4033, dice=0.7969]
Epoch 57:  50%|█████     | 5/10 [01:03<00:52, 10.55s/it, loss=0.4154, dice=0.7407]
Epoch 57:  60%|██████    | 6/10 [01:03<00:42, 10.54s/it, loss=0.4154, dice=0.7407]
Epoch 57:  60%|██████    | 6/10 [01:13<00:42, 10.54s/it, loss=0.4059, dice=0.7595]
Epoch 57:  70%|███████   | 7/10 [01:13<00:31, 10.54s/it, loss=0.4059, dice=0.7595]
Epoch 57:  70%|███████   | 7/10 [01:24<00:31, 10.54s/it, loss=0.4073, dice=0.7644]
Epoch 57:  80%|████████  | 8/10 [01:24<00:21, 10.55s/it, loss=0.4073, dice=0.7644]
Epoch 57:  80%|████████  | 8/10 [01:34<00:21, 10.55s/it, loss=0.4053, dice=0.7795]
Epoch 57:  90%|█████████ | 9/10 [01:34<00:10, 10.55s/it, loss=0.4053, dice=0.7795]
Epoch 57:  90%|█████████ | 9/10 [01:45<00:10, 10.55s/it, loss=0.3992, dice=0.7915]
Epoch 57: 100%|██████████| 10/10 [01:45<00:00, 10.56s/it, loss=0.3992, dice=0.7915]
Epoch 57: 100%|██████████| 10/10 [01:45<00:00, 10.54s/it, loss=0.3992, dice=0.7915]
Epoch 57: train_loss=0.3992, train_dice=0.7915

Validating:   0%|          | 0/12 [00:00<?, ?it/s]
Validating:   8%|▊         | 1/12 [00:01<00:19,  1.78s/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,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Validating: 100%|██████████| 12/12 [00:21<00:00,  1.77s/it]
Epoch 57: val_loss=0.3776, val_dice=0.7799

Epoch 58:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 58:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3214, dice=0.8387]
Epoch 58:  10%|█         | 1/10 [00:10<01:34, 10.46s/it, loss=0.3214, dice=0.8387]
Epoch 58:  10%|█         | 1/10 [00:20<01:34, 10.46s/it, loss=0.3392, dice=0.8694]
Epoch 58:  20%|██        | 2/10 [00:20<01:23, 10.47s/it, loss=0.3392, dice=0.8694]
Epoch 58:  20%|██        | 2/10 [00:31<01:23, 10.47s/it, loss=0.3234, dice=0.8803]
Epoch 58:  30%|███       | 3/10 [00:31<01:13, 10.49s/it, loss=0.3234, dice=0.8803]
Epoch 58:  30%|███       | 3/10 [00:42<01:13, 10.49s/it, loss=0.3296, dice=0.8818]
Epoch 58:  40%|████      | 4/10 [00:42<01:03, 10.52s/it, loss=0.3296, dice=0.8818]
Epoch 58:  40%|████      | 4/10 [00:52<01:03, 10.52s/it, loss=0.3400, dice=0.8719]
Epoch 58:  50%|█████     | 5/10 [00:52<00:52, 10.52s/it, loss=0.3400, dice=0.8719]
Epoch 58:  50%|█████     | 5/10 [01:03<00:52, 10.52s/it, loss=0.3466, dice=0.8717]
Epoch 58:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3466, dice=0.8717]
Epoch 58:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3562, dice=0.8578]
Epoch 58:  70%|███████   | 7/10 [01:13<00:31, 10.53s/it, loss=0.3562, dice=0.8578]
Epoch 58:  70%|███████   | 7/10 [01:24<00:31, 10.53s/it, loss=0.3518, dice=0.8628]
Epoch 58:  80%|████████  | 8/10 [01:24<00:21, 10.52s/it, loss=0.3518, dice=0.8628]
Epoch 58:  80%|████████  | 8/10 [01:34<00:21, 10.52s/it, loss=0.3600, dice=0.8596]
Epoch 58:  90%|█████████ | 9/10 [01:34<00:10, 10.52s/it, loss=0.3600, dice=0.8596]
Epoch 58:  90%|█████████ | 9/10 [01:45<00:10, 10.52s/it, loss=0.3617, dice=0.8571]
Epoch 58: 100%|██████████| 10/10 [01:45<00:00, 10.53s/it, loss=0.3617, dice=0.8571]
Epoch 58: 100%|██████████| 10/10 [01:45<00:00, 10.52s/it, loss=0.3617, dice=0.8571]
Epoch 58: train_loss=0.3617, train_dice=0.8571

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:  33%|███▎      | 4/12 [00:07<00:14,  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,  1.76s/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 58: val_loss=0.3769, val_dice=0.7849

Epoch 59:   0%|          | 0/10 [00:00<?, ?it/s]
Epoch 59:   0%|          | 0/10 [00:10<?, ?it/s, loss=0.3542, dice=0.8559]
Epoch 59:  10%|█         | 1/10 [00:10<01:34, 10.51s/it, loss=0.3542, dice=0.8559]
Epoch 59:  10%|█         | 1/10 [00:20<01:34, 10.51s/it, loss=0.3515, dice=0.8767]
Epoch 59:  20%|██        | 2/10 [00:20<01:23, 10.49s/it, loss=0.3515, dice=0.8767]
Epoch 59:  20%|██        | 2/10 [00:31<01:23, 10.49s/it, loss=0.3781, dice=0.8497]
Epoch 59:  30%|███       | 3/10 [00:31<01:13, 10.51s/it, loss=0.3781, dice=0.8497]
Epoch 59:  30%|███       | 3/10 [00:42<01:13, 10.51s/it, loss=0.3986, dice=0.8139]
Epoch 59:  40%|████      | 4/10 [00:42<01:03, 10.51s/it, loss=0.3986, dice=0.8139]
Epoch 59:  40%|████      | 4/10 [00:52<01:03, 10.51s/it, loss=0.3832, dice=0.8306]
Epoch 59:  50%|█████     | 5/10 [00:52<00:52, 10.53s/it, loss=0.3832, dice=0.8306]
Epoch 59:  50%|█████     | 5/10 [01:03<00:52, 10.53s/it, loss=0.3830, dice=0.8289]
Epoch 59:  60%|██████    | 6/10 [01:03<00:42, 10.53s/it, loss=0.3830, dice=0.8289]
Epoch 59:  60%|██████    | 6/10 [01:13<00:42, 10.53s/it, loss=0.3796, dice=0.8275]
Epoch 59:  70%|███████   | 7/10 [01:13<00:31, 10.51s/it, loss=0.3796, dice=0.8275]
Epoch 59:  70%|███████   | 7/10 [01:24<00:31, 10.51s/it, loss=0.3801, dice=0.8356]
Epoch 59:  80%|████████  | 8/10 [01:24<00:21, 10.51s/it, loss=0.3801, dice=0.8356]
Epoch 59:  80%|████████  | 8/10 [01:34<00:21, 10.51s/it, loss=0.3776, dice=0.8401]
Epoch 59:  90%|█████████ | 9/10 [01:34<00:10, 10.50s/it, loss=0.3776, dice=0.8401]
Epoch 59:  90%|█████████ | 9/10 [01:45<00:10, 10.50s/it, loss=0.3707, dice=0.8485]
Epoch 59: 100%|██████████| 10/10 [01:45<00:00, 10.50s/it, loss=0.3707, dice=0.8485]
Epoch 59: 100%|██████████| 10/10 [01:45<00:00, 10.51s/it, loss=0.3707, dice=0.8485]
Epoch 59: train_loss=0.3707, train_dice=0.8485

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]
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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,  1.77s/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 59: val_loss=0.3767, val_dice=0.7869