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diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed171/train_3521232.err b/dataset_seed1-weight_init_seed1-bitflip_seed171/train_3521232.err
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index 0000000000000000000000000000000000000000..2e9f8cd3bf0d0713fe405587b7d2310af51370d0
--- /dev/null
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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
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed172/train_3521233.err b/dataset_seed1-weight_init_seed1-bitflip_seed172/train_3521233.err
new file mode 100644
index 0000000000000000000000000000000000000000..57fd2627d932c2578da5966873a7ca962dc145ff
--- /dev/null
+++ b/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
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed173/train_3521234.err b/dataset_seed1-weight_init_seed1-bitflip_seed173/train_3521234.err
new file mode 100644
index 0000000000000000000000000000000000000000..502bc59ed7c37871c4eaf31aed9a10fc3cb98547
--- /dev/null
+++ b/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
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed174/train_3521235.err b/dataset_seed1-weight_init_seed1-bitflip_seed174/train_3521235.err
new file mode 100644
index 0000000000000000000000000000000000000000..297f66654aa530ce7cdcd895870c7ea30fcfcc54
--- /dev/null
+++ b/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
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed175/train_3521236.err b/dataset_seed1-weight_init_seed1-bitflip_seed175/train_3521236.err
new file mode 100644
index 0000000000000000000000000000000000000000..a4fb71abec8eca8c9bead23bbecadd85725ba67a
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed175/train_3521236.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 iikx3d2x.
+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 159.27515
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11689
+wandb:               timings/frames 908.01273
+wandb:       timings/train backward 0.02556
+wandb:      timings/train clip grad 0.00133
+wandb:        timings/train forward 0.31905
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 508.84527
+wandb:   unclipped_gradient_l2_norm 58.83643
+wandb:                     val_loss 157.26163
+wandb:              weights_l2_norm 542.16194
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212618-iikx3d2x
+wandb: Find logs at: ./wandb/offline-run-20260511_212618-iikx3d2x/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed176/train_3521237.err b/dataset_seed1-weight_init_seed1-bitflip_seed176/train_3521237.err
new file mode 100644
index 0000000000000000000000000000000000000000..d1fbbe157d9213838c244861210a2f0cb7e97c8d
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed176/train_3521237.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 tof1vxlq.
+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 159.57955
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12099
+wandb:               timings/frames 904.32897
+wandb:       timings/train backward 0.02385
+wandb:      timings/train clip grad 0.00135
+wandb:        timings/train forward 0.32123
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 508.06358
+wandb:   unclipped_gradient_l2_norm 59.81635
+wandb:                     val_loss 157.32209
+wandb:              weights_l2_norm 541.267
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212648-tof1vxlq
+wandb: Find logs at: ./wandb/offline-run-20260511_212648-tof1vxlq/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed177/train_3521238.err b/dataset_seed1-weight_init_seed1-bitflip_seed177/train_3521238.err
new file mode 100644
index 0000000000000000000000000000000000000000..64eadebc32921fe653f1a018e5009820c0f17fd3
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed177/train_3521238.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 d9h9n28r.
+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 158.85506
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.1217
+wandb:               timings/frames 908.02085
+wandb:       timings/train backward 0.02371
+wandb:      timings/train clip grad 0.00137
+wandb:        timings/train forward 0.31982
+wandb: timings/train optimizer step 0.00077
+wandb:           timings/validation 519.70449
+wandb:   unclipped_gradient_l2_norm 56.74164
+wandb:                     val_loss 157.2596
+wandb:              weights_l2_norm 541.76951
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212752-d9h9n28r
+wandb: Find logs at: ./wandb/offline-run-20260511_212752-d9h9n28r/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed178/train_3521239.err b/dataset_seed1-weight_init_seed1-bitflip_seed178/train_3521239.err
new file mode 100644
index 0000000000000000000000000000000000000000..50b8a10519c9f176091c0f2e488b8299c16c8388
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed178/train_3521239.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 2j8mx3by.
+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 158.83126
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00016
+wandb:           timings/dataloader 0.12534
+wandb:               timings/frames 903.50478
+wandb:       timings/train backward 0.02355
+wandb:      timings/train clip grad 0.00145
+wandb:        timings/train forward 0.32136
+wandb: timings/train optimizer step 0.00083
+wandb:           timings/validation 515.62959
+wandb:   unclipped_gradient_l2_norm 58.21338
+wandb:                     val_loss 157.24057
+wandb:              weights_l2_norm 542.6424
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212818-2j8mx3by
+wandb: Find logs at: ./wandb/offline-run-20260511_212818-2j8mx3by/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed179/train_3521240.err b/dataset_seed1-weight_init_seed1-bitflip_seed179/train_3521240.err
new file mode 100644
index 0000000000000000000000000000000000000000..25c999e9f5f1eac6f0770189d5779e82ccf1afa4
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed179/train_3521240.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 ldwgru13.
+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 159.6929
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.1155
+wandb:               timings/frames 911.72529
+wandb:       timings/train backward 0.01749
+wandb:      timings/train clip grad 0.00127
+wandb:        timings/train forward 0.32013
+wandb: timings/train optimizer step 0.00072
+wandb:           timings/validation 536.12978
+wandb:   unclipped_gradient_l2_norm 58.22453
+wandb:                     val_loss 157.3151
+wandb:              weights_l2_norm 541.05744
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212928-ldwgru13
+wandb: Find logs at: ./wandb/offline-run-20260511_212928-ldwgru13/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed180/train_3519013.err b/dataset_seed1-weight_init_seed1-bitflip_seed180/train_3519013.err
new file mode 100644
index 0000000000000000000000000000000000000000..44364aaef63bb3fa978b49b60f04ed14fb2653e0
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed180/train_3519013.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 uzdkscfl.
+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 159.14207
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00016
+wandb:           timings/dataloader 0.12914
+wandb:               timings/frames 908.07232
+wandb:       timings/train backward 0.02454
+wandb:      timings/train clip grad 0.00144
+wandb:        timings/train forward 0.31905
+wandb: timings/train optimizer step 0.00081
+wandb:           timings/validation 512.66393
+wandb:   unclipped_gradient_l2_norm 57.5992
+wandb:                     val_loss 157.27099
+wandb:              weights_l2_norm 540.97534
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200032-uzdkscfl
+wandb: Find logs at: ./wandb/offline-run-20260511_200032-uzdkscfl/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed181/train_3519014.err b/dataset_seed1-weight_init_seed1-bitflip_seed181/train_3519014.err
new file mode 100644
index 0000000000000000000000000000000000000000..4750de14f4e7a63bb2e4289f11580ccd76de6a44
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed181/train_3519014.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 bu7g5bjp.
+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 158.61978
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.13292
+wandb:               timings/frames 905.68928
+wandb:       timings/train backward 0.02476
+wandb:      timings/train clip grad 0.00144
+wandb:        timings/train forward 0.32004
+wandb: timings/train optimizer step 0.00081
+wandb:           timings/validation 520.05642
+wandb:   unclipped_gradient_l2_norm 57.15666
+wandb:                     val_loss 157.25842
+wandb:              weights_l2_norm 540.64135
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200133-bu7g5bjp
+wandb: Find logs at: ./wandb/offline-run-20260511_200133-bu7g5bjp/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed182/train_3519015.err b/dataset_seed1-weight_init_seed1-bitflip_seed182/train_3519015.err
new file mode 100644
index 0000000000000000000000000000000000000000..66ad306259fc6dc6cef2b410cfe540fa822a5fa8
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed182/train_3519015.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 hquza2gc.
+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 159.01598
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00016
+wandb:           timings/dataloader 0.11833
+wandb:               timings/frames 906.83646
+wandb:       timings/train backward 0.02386
+wandb:      timings/train clip grad 0.00149
+wandb:        timings/train forward 0.32031
+wandb: timings/train optimizer step 0.00081
+wandb:           timings/validation 507.61579
+wandb:   unclipped_gradient_l2_norm 55.73446
+wandb:                     val_loss 157.26048
+wandb:              weights_l2_norm 542.67775
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200155-hquza2gc
+wandb: Find logs at: ./wandb/offline-run-20260511_200155-hquza2gc/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed183/train_3519016.err b/dataset_seed1-weight_init_seed1-bitflip_seed183/train_3519016.err
new file mode 100644
index 0000000000000000000000000000000000000000..ef439cab5106b4bb56b8694e63a6fe7f55a77788
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed183/train_3519016.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 xfth8mjy.
+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 159.61213
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.1157
+wandb:               timings/frames 908.24038
+wandb:       timings/train backward 0.02352
+wandb:      timings/train clip grad 0.00135
+wandb:        timings/train forward 0.32006
+wandb: timings/train optimizer step 0.00077
+wandb:           timings/validation 513.37809
+wandb:   unclipped_gradient_l2_norm 61.71901
+wandb:                     val_loss 157.29803
+wandb:              weights_l2_norm 540.10322
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200201-xfth8mjy
+wandb: Find logs at: ./wandb/offline-run-20260511_200201-xfth8mjy/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed184/train_3519017.err b/dataset_seed1-weight_init_seed1-bitflip_seed184/train_3519017.err
new file mode 100644
index 0000000000000000000000000000000000000000..5c3ef097b32168f49c150f6618ba8de0c1e2bf0c
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed184/train_3519017.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 84f1qp09.
+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 158.81375
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.13667
+wandb:               timings/frames 904.32165
+wandb:       timings/train backward 0.02429
+wandb:      timings/train clip grad 0.00143
+wandb:        timings/train forward 0.32039
+wandb: timings/train optimizer step 0.0008
+wandb:           timings/validation 511.28801
+wandb:   unclipped_gradient_l2_norm 62.14182
+wandb:                     val_loss 157.20344
+wandb:              weights_l2_norm 542.11491
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200234-84f1qp09
+wandb: Find logs at: ./wandb/offline-run-20260511_200234-84f1qp09/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed185/train_3519018.err b/dataset_seed1-weight_init_seed1-bitflip_seed185/train_3519018.err
new file mode 100644
index 0000000000000000000000000000000000000000..b3d7ca99c8887541b065f730c01210c8d47e3569
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed185/train_3519018.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 d400so9w.
+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 158.85216
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.10116
+wandb:               timings/frames 909.72576
+wandb:       timings/train backward 0.02363
+wandb:      timings/train clip grad 0.00139
+wandb:        timings/train forward 0.31984
+wandb: timings/train optimizer step 0.00077
+wandb:           timings/validation 511.73594
+wandb:   unclipped_gradient_l2_norm 60.61416
+wandb:                     val_loss 157.29785
+wandb:              weights_l2_norm 542.19243
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200333-d400so9w
+wandb: Find logs at: ./wandb/offline-run-20260511_200333-d400so9w/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed186/train_3519019.err b/dataset_seed1-weight_init_seed1-bitflip_seed186/train_3519019.err
new file mode 100644
index 0000000000000000000000000000000000000000..cda90a278bbc611d9fdb86e63780e5b2dcdad893
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed186/train_3519019.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 zxtcc4l0.
+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 159.63545
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.1143
+wandb:               timings/frames 908.00408
+wandb:       timings/train backward 0.0239
+wandb:      timings/train clip grad 0.00133
+wandb:        timings/train forward 0.31995
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 529.42086
+wandb:   unclipped_gradient_l2_norm 57.32068
+wandb:                     val_loss 157.21383
+wandb:              weights_l2_norm 542.83913
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200402-zxtcc4l0
+wandb: Find logs at: ./wandb/offline-run-20260511_200402-zxtcc4l0/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed187/train_3519020.err b/dataset_seed1-weight_init_seed1-bitflip_seed187/train_3519020.err
new file mode 100644
index 0000000000000000000000000000000000000000..ac6a501429218d006a7c7dad6b8869a9f6d5217d
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed187/train_3519020.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 hom02amd.
+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 158.88616
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00017
+wandb:           timings/dataloader 0.12863
+wandb:               timings/frames 904.64673
+wandb:       timings/train backward 0.02411
+wandb:      timings/train clip grad 0.00148
+wandb:        timings/train forward 0.32052
+wandb: timings/train optimizer step 0.00085
+wandb:           timings/validation 510.60156
+wandb:   unclipped_gradient_l2_norm 59.2237
+wandb:                     val_loss 157.41146
+wandb:              weights_l2_norm 541.5211
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200401-hom02amd
+wandb: Find logs at: ./wandb/offline-run-20260511_200401-hom02amd/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed188/train_3519021.err b/dataset_seed1-weight_init_seed1-bitflip_seed188/train_3519021.err
new file mode 100644
index 0000000000000000000000000000000000000000..dd466358add556b7c055ee95cd0dfbd30faeee3c
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed188/train_3519021.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 1mmrfbcy.
+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 159.08772
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.11453
+wandb:               timings/frames 909.11236
+wandb:       timings/train backward 0.02416
+wandb:      timings/train clip grad 0.0014
+wandb:        timings/train forward 0.31966
+wandb: timings/train optimizer step 0.00078
+wandb:           timings/validation 508.99827
+wandb:   unclipped_gradient_l2_norm 65.00769
+wandb:                     val_loss 157.28726
+wandb:              weights_l2_norm 542.135
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200502-1mmrfbcy
+wandb: Find logs at: ./wandb/offline-run-20260511_200502-1mmrfbcy/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed189/train_3519022.err b/dataset_seed1-weight_init_seed1-bitflip_seed189/train_3519022.err
new file mode 100644
index 0000000000000000000000000000000000000000..cf50342022a620d7bf399aed47ba369e10325709
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed189/train_3519022.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 erftxto2.
+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 159.71953
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11376
+wandb:               timings/frames 903.41285
+wandb:       timings/train backward 0.02504
+wandb:      timings/train clip grad 0.00135
+wandb:        timings/train forward 0.32115
+wandb: timings/train optimizer step 0.00079
+wandb:           timings/validation 510.87434
+wandb:   unclipped_gradient_l2_norm 59.23825
+wandb:                     val_loss 157.30913
+wandb:              weights_l2_norm 541.09435
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200502-erftxto2
+wandb: Find logs at: ./wandb/offline-run-20260511_200502-erftxto2/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed190/train_3519023.err b/dataset_seed1-weight_init_seed1-bitflip_seed190/train_3519023.err
new file mode 100644
index 0000000000000000000000000000000000000000..03c16c5dea1986df3ae72662d97f5240f8934608
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed190/train_3519023.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 ndbms553.
+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 159.71165
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11908
+wandb:               timings/frames 910.70867
+wandb:       timings/train backward 0.02322
+wandb:      timings/train clip grad 0.00134
+wandb:        timings/train forward 0.31866
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 509.16635
+wandb:   unclipped_gradient_l2_norm 63.18317
+wandb:                     val_loss 157.32432
+wandb:              weights_l2_norm 543.12849
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200502-ndbms553
+wandb: Find logs at: ./wandb/offline-run-20260511_200502-ndbms553/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed191/train_3519024.err b/dataset_seed1-weight_init_seed1-bitflip_seed191/train_3519024.err
new file mode 100644
index 0000000000000000000000000000000000000000..fb77ccbd5f7cd0d07927cd51f8a17e5ca37b36bf
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed191/train_3519024.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 i2d01lyt.
+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 159.50441
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00012
+wandb:           timings/dataloader 0.10759
+wandb:               timings/frames 908.92213
+wandb:       timings/train backward 0.0239
+wandb:      timings/train clip grad 0.00124
+wandb:        timings/train forward 0.32006
+wandb: timings/train optimizer step 0.00068
+wandb:           timings/validation 510.81074
+wandb:   unclipped_gradient_l2_norm 61.91976
+wandb:                     val_loss 157.17623
+wandb:              weights_l2_norm 543.82752
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200532-i2d01lyt
+wandb: Find logs at: ./wandb/offline-run-20260511_200532-i2d01lyt/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed192/train_3519025.err b/dataset_seed1-weight_init_seed1-bitflip_seed192/train_3519025.err
new file mode 100644
index 0000000000000000000000000000000000000000..e1ee68d8b1566bcb788e5e51ac7cd04eb1971a20
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed192/train_3519025.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 mcqkd5bu.
+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 158.93826
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00016
+wandb:           timings/dataloader 0.12827
+wandb:               timings/frames 905.94968
+wandb:       timings/train backward 0.02476
+wandb:      timings/train clip grad 0.00152
+wandb:        timings/train forward 0.32046
+wandb: timings/train optimizer step 0.00086
+wandb:           timings/validation 516.26031
+wandb:   unclipped_gradient_l2_norm 59.28903
+wandb:                     val_loss 157.19843
+wandb:              weights_l2_norm 541.42387
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200526-mcqkd5bu
+wandb: Find logs at: ./wandb/offline-run-20260511_200526-mcqkd5bu/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed193/train_3519026.err b/dataset_seed1-weight_init_seed1-bitflip_seed193/train_3519026.err
new file mode 100644
index 0000000000000000000000000000000000000000..4bf4365ce8f9c5f2cb9f3430a57294d1ee404798
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed193/train_3519026.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 src4dxwb.
+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 159.44132
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.1135
+wandb:               timings/frames 903.80673
+wandb:       timings/train backward 0.02542
+wandb:      timings/train clip grad 0.00133
+wandb:        timings/train forward 0.32152
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 510.58928
+wandb:   unclipped_gradient_l2_norm 56.63007
+wandb:                     val_loss 157.29997
+wandb:              weights_l2_norm 541.612
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200531-src4dxwb
+wandb: Find logs at: ./wandb/offline-run-20260511_200531-src4dxwb/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed194/train_3519027.err b/dataset_seed1-weight_init_seed1-bitflip_seed194/train_3519027.err
new file mode 100644
index 0000000000000000000000000000000000000000..6b9c49618a29c6f226f02e2c90301dce3b18713a
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed194/train_3519027.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 9qilo28a.
+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 159.47061
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.09814
+wandb:               timings/frames 906.46174
+wandb:       timings/train backward 0.025
+wandb:      timings/train clip grad 0.00135
+wandb:        timings/train forward 0.32059
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 511.40711
+wandb:   unclipped_gradient_l2_norm 58.1899
+wandb:                     val_loss 157.22883
+wandb:              weights_l2_norm 543.93859
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200633-9qilo28a
+wandb: Find logs at: ./wandb/offline-run-20260511_200633-9qilo28a/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed195/train_3519028.err b/dataset_seed1-weight_init_seed1-bitflip_seed195/train_3519028.err
new file mode 100644
index 0000000000000000000000000000000000000000..eb99860ba02f931aa0263ab81f13cd2f17e6944c
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed195/train_3519028.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 hws7e2cx.
+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 158.70482
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.10492
+wandb:               timings/frames 908.67627
+wandb:       timings/train backward 0.02545
+wandb:      timings/train clip grad 0.00135
+wandb:        timings/train forward 0.31956
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 510.90153
+wandb:   unclipped_gradient_l2_norm 56.4969
+wandb:                     val_loss 157.28177
+wandb:              weights_l2_norm 542.75935
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200656-hws7e2cx
+wandb: Find logs at: ./wandb/offline-run-20260511_200656-hws7e2cx/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed196/train_3519029.err b/dataset_seed1-weight_init_seed1-bitflip_seed196/train_3519029.err
new file mode 100644
index 0000000000000000000000000000000000000000..67b789b9d23aa8b46c74502f73dec189fe6494ba
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed196/train_3519029.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 k7afe897.
+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 159.45627
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.14378
+wandb:               timings/frames 905.46341
+wandb:       timings/train backward 0.02282
+wandb:      timings/train clip grad 0.00145
+wandb:        timings/train forward 0.32004
+wandb: timings/train optimizer step 0.00084
+wandb:           timings/validation 509.84429
+wandb:   unclipped_gradient_l2_norm 57.81708
+wandb:                     val_loss 157.24667
+wandb:              weights_l2_norm 541.39428
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200727-k7afe897
+wandb: Find logs at: ./wandb/offline-run-20260511_200727-k7afe897/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed197/train_3519030.err b/dataset_seed1-weight_init_seed1-bitflip_seed197/train_3519030.err
new file mode 100644
index 0000000000000000000000000000000000000000..3ec95fb45df073a52ad9d93668c40b1e592c7d33
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed197/train_3519030.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 0cjrlptc.
+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 159.01576
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.10154
+wandb:               timings/frames 907.81226
+wandb:       timings/train backward 0.02281
+wandb:      timings/train clip grad 0.00134
+wandb:        timings/train forward 0.32048
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 509.85131
+wandb:   unclipped_gradient_l2_norm 57.49549
+wandb:                     val_loss 157.31409
+wandb:              weights_l2_norm 544.4405
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200757-0cjrlptc
+wandb: Find logs at: ./wandb/offline-run-20260511_200757-0cjrlptc/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed198/train_3519031.err b/dataset_seed1-weight_init_seed1-bitflip_seed198/train_3519031.err
new file mode 100644
index 0000000000000000000000000000000000000000..bd406cf7fb57a706853871839bef5915afe9fb7e
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed198/train_3519031.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 5xqk59od.
+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 159.75787
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11326
+wandb:               timings/frames 909.22016
+wandb:       timings/train backward 0.0231
+wandb:      timings/train clip grad 0.00134
+wandb:        timings/train forward 0.31973
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 512.07752
+wandb:   unclipped_gradient_l2_norm 57.42999
+wandb:                     val_loss 157.23685
+wandb:              weights_l2_norm 542.26263
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_200836-5xqk59od
+wandb: Find logs at: ./wandb/offline-run-20260511_200836-5xqk59od/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed199/train_3519032.err b/dataset_seed1-weight_init_seed1-bitflip_seed199/train_3519032.err
new file mode 100644
index 0000000000000000000000000000000000000000..8ef5d2bb79ca88292d762917b9158804ce6275c5
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed199/train_3519032.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 3773vt71.
+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 159.46719
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12341
+wandb:               timings/frames 908.20712
+wandb:       timings/train backward 0.02346
+wandb:      timings/train clip grad 0.00137
+wandb:        timings/train forward 0.31929
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 515.72269
+wandb:   unclipped_gradient_l2_norm 56.89941
+wandb:                     val_loss 157.39446
+wandb:              weights_l2_norm 544.54548
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_201236-3773vt71
+wandb: Find logs at: ./wandb/offline-run-20260511_201236-3773vt71/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed200/train_3519033.err b/dataset_seed1-weight_init_seed1-bitflip_seed200/train_3519033.err
new file mode 100644
index 0000000000000000000000000000000000000000..4b03e140a06e266322c00dddddc34165394bea2e
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed200/train_3519033.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 y248plvs.
+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 159.45204
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.11622
+wandb:               timings/frames 903.9931
+wandb:       timings/train backward 0.0241
+wandb:      timings/train clip grad 0.00139
+wandb:        timings/train forward 0.32131
+wandb: timings/train optimizer step 0.00076
+wandb:           timings/validation 514.39975
+wandb:   unclipped_gradient_l2_norm 58.59375
+wandb:                     val_loss 157.15186
+wandb:              weights_l2_norm 543.2863
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_201403-y248plvs
+wandb: Find logs at: ./wandb/offline-run-20260511_201403-y248plvs/logs