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+INFO:    Setting 'NVIDIA_VISIBLE_DEVICES=all' to emulate legacy GPU binding.
+INFO:    Setting --writable-tmpfs (required by nvidia-container-cli)
+The following values were not passed to `accelerate launch` and had defaults used instead:
+	`--num_machines` was set to a value of `1`
+	`--dynamo_backend` was set to a value of `'no'`
+To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
+/mnt/STEVE-1/steve1/VPT/lib/torch_util.py:36: UserWarning: 'has_cuda' is deprecated, please use 'torch.backends.cuda.is_built()'
+  return th.has_cuda
+wandb: WARNING `resume` will be ignored since W&B syncing is set to `offline`. Starting a new run with run id etrexhzw.
+wandb: Tracking run with wandb version 0.15.12
+wandb: W&B syncing is set to `offline` in this directory.  
+wandb: Run `wandb online` or set WANDB_MODE=online to enable cloud syncing.
+
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+/mnt/STEVE-1/steve1/VPT/agent.py:136: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  state_dict = th.load(path, map_location=self.device)
+wandb: Waiting for W&B process to finish... (success).
+wandb: 
+wandb: Run history:
+wandb:                        epoch ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:                 grad_l2_norm █▅▅▅█▅▁█▅▅▅▅██▅▅▅▁▅▅▅▁▅▅█▅██▅▅▅▅█▅▅█▅▁▁█
+wandb:                learning_rate ▂▅████████▇▇▇▇▇▆▆▆▆▆▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁
+wandb:                         loss ▇█▄▂▅▅▃▄▅▃▃▅▅▃▄▂▃▃▄▅▃▃▂▃▄▁▁▄▃▅▂▂▄▂▄▅▂▂▂▃
+wandb:             processed_frames ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:                         step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:            timings/data prep █▃▃▃▄▅▃▄▆▇▄▆▂▂▂▁▃▂▄▅▃▂▂▆▂▆▂▇▆▄▅▄▃▃▆▆▄▄▆▃
+wandb:           timings/dataloader ▂▂▃▄▄▂▄▆▄▅▅▄▅▅▃▄▅▆▅▅▄▄▆▅▆▆▇▆▆█▂▁▄▆▇▆▃▄█▃
+wandb:               timings/frames ██▄▃▄▄▃▃▃▃▄▃▄▄▄▄▃▄▄█▃▄▄▄▃▄▃▃▃▃▄▄▄▃▃▃▃▁█▄
+wandb:       timings/train backward ▂▃▂▃▂▂▂▂▃▃▁▂▁▂▁▁▂▂▂▁▃▂▂▂▃▂▃▂▂▂▁▂▂▃▃▂▂█▁▂
+wandb:      timings/train clip grad ▆▃▄▃▆▆▆▆▃▄▅▆▃▃▃▁▄▃▆█▅▅▂▆▄▇▃▆▆▅▅▆▅▆▆▅▆▆█▆
+wandb:        timings/train forward ▂▁▇▅▆▅▇▇█▆▇█▅▆▇▅▆▅▇▄▆▅▅▇▅▇▅█▇▆▆▆▆▇▇▆▇▅▃▆
+wandb: timings/train optimizer step ▂▁█▇████▇▇██▇▇▇▇▇▇█▁▇▇▇█▇█▇██▇████████▁▇
+wandb:           timings/validation ▃▁▂▃▃▄▃▂▁▂▂▃▂▄▁▅█▇▇█
+wandb:   unclipped_gradient_l2_norm ▆▃█▂▂▂▁▂▁▁▂▂▂▁▁▂▂▁▂▂▁▁▂▁▁▁▂▁▁▂▃▂▃▁▃▂▁▃▂▂
+wandb:                     val_loss █▆▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁
+wandb:              weights_l2_norm ▁▁▁▂▂▂▂▃▃▃▄▄▄▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇▇▇██████████
+wandb: 
+wandb: Run summary:
+wandb:                        epoch 2.14165
+wandb:                 grad_l2_norm 5.0
+wandb:                learning_rate 0.0
+wandb:                         loss 159.04467
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00013
+wandb:           timings/dataloader 0.10752
+wandb:               timings/frames 914.90782
+wandb:       timings/train backward 0.02402
+wandb:      timings/train clip grad 0.00134
+wandb:        timings/train forward 0.31741
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 516.90858
+wandb:   unclipped_gradient_l2_norm 57.32738
+wandb:                     val_loss 157.20467
+wandb:              weights_l2_norm 541.40782
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212354-etrexhzw
+wandb: Find logs at: ./wandb/offline-run-20260511_212354-etrexhzw/logs

dataset_seed1-weight_init_seed1-bitflip_seed172/train_3521233.err

@@ -0,0 +1,59 @@
+INFO:    Setting 'NVIDIA_VISIBLE_DEVICES=all' to emulate legacy GPU binding.
+INFO:    Setting --writable-tmpfs (required by nvidia-container-cli)
+The following values were not passed to `accelerate launch` and had defaults used instead:
+	`--num_machines` was set to a value of `1`
+	`--dynamo_backend` was set to a value of `'no'`
+To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
+/mnt/STEVE-1/steve1/VPT/lib/torch_util.py:36: UserWarning: 'has_cuda' is deprecated, please use 'torch.backends.cuda.is_built()'
+  return th.has_cuda
+wandb: WARNING `resume` will be ignored since W&B syncing is set to `offline`. Starting a new run with run id g3p3b6wl.
+wandb: Tracking run with wandb version 0.15.12
+wandb: W&B syncing is set to `offline` in this directory.  
+wandb: Run `wandb online` or set WANDB_MODE=online to enable cloud syncing.
+
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+/mnt/STEVE-1/steve1/VPT/agent.py:136: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  state_dict = th.load(path, map_location=self.device)
+wandb: Waiting for W&B process to finish... (success).
+wandb: 
+wandb: Run history:
+wandb:                        epoch ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:                 grad_l2_norm ▅▅▅▅▅▁█▅▅█▁▅▁▅▅▅▅▅▅▁▅▁█▅▅▅█▅▅█▅▅▅▅▁▅▅▅▁▅
+wandb:                learning_rate ▂▅████████▇▇▇▇▇▆▆▆▆▆▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁
+wandb:                         loss ▇█▄▂▅▅▃▄▅▃▃▅▅▃▄▂▃▃▄▅▃▃▂▃▄▁▁▄▃▅▂▂▄▂▃▅▂▂▂▄
+wandb:             processed_frames ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:                         step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:            timings/data prep ▁▅▄▅█▅▅▅▆▇▅▅▆▅▅▅▅▅▇▄▄▃▃▃▁▂▂▃▂▁▃▃▂▁▃▂▂▃▂▂
+wandb:           timings/dataloader ▁▃▄▅▄▇▄▄▄▄▅▄▃▇▄▅▆▁▅▆▆▅▅▄▇▆▆█▆▅▄▅▆▅▆▅▅▄▆▆
+wandb:               timings/frames █▇▃▃▃▃▃▃▃▃▃▃▃▃▃▃▃▄▃▇▃▃▄▄▃▃▄▃▄▃▄▃▄▃▃▃▄▁▇▄
+wandb:       timings/train backward ▂▂▂▂▂▃▂▂▃▃▂▂▂▂▂▂▂▂▂▂▃▂▂▂▃▂▂▂▁▂▂▂▂▂▃▂▂█▁▂
+wandb:      timings/train clip grad ▃▇▇▇▇▇█▇▇█▇█▇█▆█▇▇▇▆▄▃▅▄���▂▂▄▄▁▅▅▃▁▃▃▄▅▄▂
+wandb:        timings/train forward ▁▂███▇█▇▅█▇▇▇▇▇▇▇▇█▁▅▅▆▆▃▅▅▆▆▅▆▆▅▅▆▆▄▄▁▅
+wandb: timings/train optimizer step ▁▁█████████████████▁▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▁▇
+wandb:           timings/validation ███▇▅▆▇▆▆▄▅▇▁▄▂▃▅▃▂▃
+wandb:   unclipped_gradient_l2_norm █▃█▁▃▃▂▁▂▁▂▂▂▁▂▃▂▁▂▂▁▂▃▁▂▁▂▂▂▂▄▂▄▂▃▂▂▃▂▂
+wandb:                     val_loss █▆▅▄▄▄▄▃▃▂▂▂▂▂▂▁▁▁▁▁
+wandb:              weights_l2_norm ▁▁▁▂▂▂▂▃▃▃▄▄▄▄▅▅▅▆▆▆▆▆▇▇▇▇▇▇▇▇██████████
+wandb: 
+wandb: Run summary:
+wandb:                        epoch 2.14165
+wandb:                 grad_l2_norm 5.0
+wandb:                learning_rate 0.0
+wandb:                         loss 160.27377
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11414
+wandb:               timings/frames 911.04027
+wandb:       timings/train backward 0.02375
+wandb:      timings/train clip grad 0.00127
+wandb:        timings/train forward 0.31865
+wandb: timings/train optimizer step 0.0007
+wandb:           timings/validation 516.60577
+wandb:   unclipped_gradient_l2_norm 57.5105
+wandb:                     val_loss 157.22818
+wandb:              weights_l2_norm 542.41707
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212527-g3p3b6wl
+wandb: Find logs at: ./wandb/offline-run-20260511_212527-g3p3b6wl/logs

dataset_seed1-weight_init_seed1-bitflip_seed173/train_3521234.err

@@ -0,0 +1,59 @@
+INFO:    Setting 'NVIDIA_VISIBLE_DEVICES=all' to emulate legacy GPU binding.
+INFO:    Setting --writable-tmpfs (required by nvidia-container-cli)
+The following values were not passed to `accelerate launch` and had defaults used instead:
+	`--num_machines` was set to a value of `1`
+	`--dynamo_backend` was set to a value of `'no'`
+To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
+/mnt/STEVE-1/steve1/VPT/lib/torch_util.py:36: UserWarning: 'has_cuda' is deprecated, please use 'torch.backends.cuda.is_built()'
+  return th.has_cuda
+wandb: WARNING `resume` will be ignored since W&B syncing is set to `offline`. Starting a new run with run id 9wijfvid.
+wandb: Tracking run with wandb version 0.15.12
+wandb: W&B syncing is set to `offline` in this directory.  
+wandb: Run `wandb online` or set WANDB_MODE=online to enable cloud syncing.
+
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+/mnt/STEVE-1/steve1/VPT/agent.py:136: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  state_dict = th.load(path, map_location=self.device)
+wandb: Waiting for W&B process to finish... (success).
+wandb: 
+wandb: Run history:
+wandb:                        epoch ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:                 grad_l2_norm ▅▅█▅▅█▁▅▅▅▅▁▅▅▅▅▅██▅▅▁█▅▅▁▅█▅▁▁▅▅▅▅▅▅▅▅▁
+wandb:                learning_rate ▂▅████████▇▇▇▇▇▆▆▆▆▆▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁
+wandb:                         loss ▇█▄▂▅▅▃▄▅▃▃▅▅▃▄▂▃▃▄▅▃▃▂▃▄▁▁▄▃▅▂▂▄▂▃▅▂▂▂▃
+wandb:             processed_frames ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:                         step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:            timings/data prep ▄▁▄▄▇▃▃▃▃▃▄▃▄▅▅▆▃▃█▃▃▄▃▂▁▄▃▂▂▃▂▅▄▆▂▅▅▁▃▂
+wandb:           timings/dataloader ▂▂▂▂▅▄▅▄▅▃▂▃▇▇▇▅█▇▅▆▅▇▇▇▇▇▂▄▅▅▁▆▁▂▅▇▇▅▆▂
+wandb:               timings/frames ██▄▄▄▄▄▄▃▄▄▄▃▃▃▃▂▃▃█▃▃▂▃▃▃▄▄▃▃▄▃▄▄▃▃▃▁█▄
+wandb:       timings/train backward ▁▂▁▂▁▁▁▁▂▁▁▂▃▂▁▃▃▂▂▁▃▁▃▂▂▂▂▁▃▂▂▂▂▂▂▂▂█▁▁
+wandb:      timings/train clip grad ▅▄▅▄▇▃▆▆▄▅▅▄▂▄▄▆▅▄█▆▂▃▃▄▁▃▁▃▃▄▃▅▅▇▃▅▆▂▄▁
+wandb:        timings/train forward ▁▂▇▇▆▇▇▇▇██▇▇██▆▇▇█▁▇█▇▇▅▆▇▆▇▇▇▇▇█▇▇▇▅▂▆
+wandb: timings/train optimizer step ▁▁▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅█▁▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▁▅
+wandb:           timings/validation ▄▅▃█▇█▃▃▂▃▁▃▂▅▃▁▄▂▃▄
+wandb:   unclipped_gradient_l2_norm ▅▂█▁▂▁▁▂▁▁▂▂▂▁▁▃▁▁▂▁▁▁▂▁▁▁▂▁▁▁▂▂▂▁▂▁▁▁▂▂
+wandb:                     val_loss █▆▅▄▄▄▄▃▃▂▂▂▂▂▂▁▁▁▁▁
+wandb:              weights_l2_norm ▁▁▁▂▂▂▂▃▃▃▄▄▄▄▅▅▅▆▆▆▆▆▆▇▇▇▇▇▇▇██████████
+wandb: 
+wandb: Run summary:
+wandb:                        epoch 2.14165
+wandb:                 grad_l2_norm 5.0
+wandb:                learning_rate 0.0
+wandb:                         loss 159.48052
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12243
+wandb:               timings/frames 902.77949
+wandb:       timings/train backward 0.02331
+wandb:      timings/train clip grad 0.00136
+wandb:        timings/train forward 0.32154
+wandb: timings/train optimizer step 0.00076
+wandb:           timings/validation 510.96481
+wandb:   unclipped_gradient_l2_norm 55.43754
+wandb:                     val_loss 157.3219
+wandb:              weights_l2_norm 542.42303
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212521-9wijfvid
+wandb: Find logs at: ./wandb/offline-run-20260511_212521-9wijfvid/logs

dataset_seed1-weight_init_seed1-bitflip_seed174/train_3521235.err

@@ -0,0 +1,59 @@
+INFO:    Setting 'NVIDIA_VISIBLE_DEVICES=all' to emulate legacy GPU binding.
+INFO:    Setting --writable-tmpfs (required by nvidia-container-cli)
+The following values were not passed to `accelerate launch` and had defaults used instead:
+	`--num_machines` was set to a value of `1`
+	`--dynamo_backend` was set to a value of `'no'`
+To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
+/mnt/STEVE-1/steve1/VPT/lib/torch_util.py:36: UserWarning: 'has_cuda' is deprecated, please use 'torch.backends.cuda.is_built()'
+  return th.has_cuda
+wandb: WARNING `resume` will be ignored since W&B syncing is set to `offline`. Starting a new run with run id 4t0j4utp.
+wandb: Tracking run with wandb version 0.15.12
+wandb: W&B syncing is set to `offline` in this directory.  
+wandb: Run `wandb online` or set WANDB_MODE=online to enable cloud syncing.
+
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+/mnt/STEVE-1/steve1/VPT/agent.py:136: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  state_dict = th.load(path, map_location=self.device)
+wandb: Waiting for W&B process to finish... (success).
+wandb: 
+wandb: Run history:
+wandb:                        epoch ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:                 grad_l2_norm ▅█▅▅▁▅█▅▅▅▁▅█▅▅▅▅████▅▅▁▅▅▁█▅█▅█▅▅██▅█▁▅
+wandb:                learning_rate ▂▅████████▇▇▇▇▇▆▆▆▆▆▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁
+wandb:                         loss ▇█▄▁▅▅▃▄▅▃▃▅▅▃▄▂▃▃▄▅▃▃▂▃▄▁▁▄▃▅▂▂▄▂▃▅▂▂▂▃
+wandb:             processed_frames ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:                         step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
+wandb:            timings/data prep ▅▆▄▄▄▄▆█▄▄▄▅▄▅▅▄▅▆▅▇▅▅▄▅▄▄▄▅▄▅▄▃▄▄▃▄▅▁▄▄
+wandb:           timings/dataloader ▁▁▂▂▂▂▂▂▂▂▂▂▂▃▃▂▃▁▃▄▃▃▄▄▃▃▃▄▃▄▃▃▃▃▄▄▄█▃▄
+wandb:               timings/frames █▇▄▄▄▃▄▃▄▄▄▄▄▄▄▄▄▄▄▇▃▃▄▄▄▄▄▄▃▄▄▅▄▄▄▄▄▁█▄
+wandb:       timings/train backward ▃▄▃▄▃▄▄▄▄▄▄▄▃▃▃▃▃▃▃▃▄▄▃▃▃▃▃▃▄▄▃▁▃▄▄▃▃█▂▃
+wandb:      timings/train clip grad ▅▆▆▅▆▅▆▅▅▅▅▅▅▅▅▅▅▇▅█▅▆▅▅▅▅▅▆▆▆▄▄▄▄▃▄▅▁▆▄
+wandb:        timings/train forward ▁▂▆▅▆▆▆▆▅▆▅▅▅▆▆▅▅▆▆▃▆█▅▅▅▆▅▆▆▆▅▄▅▅▄▅▆▃▁▅
+wandb: timings/train optimizer step ▁▁████████▇████████▁██████████▇▇▇▇▇▇▇▆▁▇
+wandb:           timings/validation ▁▁▂▂▂▂▁▂▂█▆▅▅▆█▅▅▅▄▅
+wandb:   unclipped_gradient_l2_norm ▆▃��▂▂▂▂▂▂▁▂▂▂▁▂█▂▁▂▂▁▁▂▁▁▁▁▂▁▂▃▂▃▂▂▂▁▂▂▂
+wandb:                     val_loss █▆▅▅▄▄▃▃▃▂▂▂▂▂▂▁▁▁▁▁
+wandb:              weights_l2_norm ▁▁▁▂▂▂▂▃▃▃▄▄▄▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇▇███████████
+wandb: 
+wandb: Run summary:
+wandb:                        epoch 2.14165
+wandb:                 grad_l2_norm 5.0
+wandb:                learning_rate 0.0
+wandb:                         loss 159.78402
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11605
+wandb:               timings/frames 908.75915
+wandb:       timings/train backward 0.02377
+wandb:      timings/train clip grad 0.0013
+wandb:        timings/train forward 0.31951
+wandb: timings/train optimizer step 0.00073
+wandb:           timings/validation 515.10846
+wandb:   unclipped_gradient_l2_norm 58.90687
+wandb:                     val_loss 157.34429
+wandb:              weights_l2_norm 541.60787
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212626-4t0j4utp
+wandb: Find logs at: ./wandb/offline-run-20260511_212626-4t0j4utp/logs