diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed101/train_3452967.err b/dataset_seed1-weight_init_seed1-bitflip_seed101/train_3452967.err
new file mode 100644
index 0000000000000000000000000000000000000000..c3901aa80fd8e433922a2fd5bf9d1f559d15df7c
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed101/train_3452967.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 jqcxwnp9.
+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 159.40003
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.10689
+wandb:               timings/frames 908.68921
+wandb:       timings/train backward 0.02562
+wandb:      timings/train clip grad 0.00136
+wandb:        timings/train forward 0.31941
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 514.99963
+wandb:   unclipped_gradient_l2_norm 59.34807
+wandb:                     val_loss 157.25157
+wandb:              weights_l2_norm 540.71137
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_181754-jqcxwnp9
+wandb: Find logs at: ./wandb/offline-run-20260506_181754-jqcxwnp9/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed103/train_3452969.err b/dataset_seed1-weight_init_seed1-bitflip_seed103/train_3452969.err
new file mode 100644
index 0000000000000000000000000000000000000000..65ec934bf818d1a7f2d395f4990c7607d7c378b5
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed103/train_3452969.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 gz17rcc5.
+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 159.6516
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11739
+wandb:               timings/frames 910.35624
+wandb:       timings/train backward 0.02385
+wandb:      timings/train clip grad 0.00125
+wandb:        timings/train forward 0.31906
+wandb: timings/train optimizer step 0.0007
+wandb:           timings/validation 511.72149
+wandb:   unclipped_gradient_l2_norm 58.07249
+wandb:                     val_loss 157.30195
+wandb:              weights_l2_norm 541.19953
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_181806-gz17rcc5
+wandb: Find logs at: ./wandb/offline-run-20260506_181806-gz17rcc5/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed105/train_3452971.err b/dataset_seed1-weight_init_seed1-bitflip_seed105/train_3452971.err
new file mode 100644
index 0000000000000000000000000000000000000000..3de7a14caddf042095fba4e78fc06486b415950f
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed105/train_3452971.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 azqf70qs.
+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 159.15954
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11546
+wandb:               timings/frames 911.87419
+wandb:       timings/train backward 0.02309
+wandb:      timings/train clip grad 0.00126
+wandb:        timings/train forward 0.31855
+wandb: timings/train optimizer step 0.00071
+wandb:           timings/validation 513.39691
+wandb:   unclipped_gradient_l2_norm 59.31703
+wandb:                     val_loss 157.25408
+wandb:              weights_l2_norm 542.74373
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_181840-azqf70qs
+wandb: Find logs at: ./wandb/offline-run-20260506_181840-azqf70qs/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed107/train_3452973.err b/dataset_seed1-weight_init_seed1-bitflip_seed107/train_3452973.err
new file mode 100644
index 0000000000000000000000000000000000000000..8f8d8a9f79b857b7570b3b5a42aa39611029b85d
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed107/train_3452973.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 8rxa2yry.
+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 159.56429
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.10348
+wandb:               timings/frames 915.24729
+wandb:       timings/train backward 0.01767
+wandb:      timings/train clip grad 0.00132
+wandb:        timings/train forward 0.31915
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 516.85444
+wandb:   unclipped_gradient_l2_norm 57.83433
+wandb:                     val_loss 157.26411
+wandb:              weights_l2_norm 541.39325
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_182037-8rxa2yry
+wandb: Find logs at: ./wandb/offline-run-20260506_182037-8rxa2yry/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed108/train_3452974.err b/dataset_seed1-weight_init_seed1-bitflip_seed108/train_3452974.err
new file mode 100644
index 0000000000000000000000000000000000000000..999a07cde58d39175cee2e4440cf43e91595715c
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed108/train_3452974.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 rpee3obl.
+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 159.17559
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00013
+wandb:           timings/dataloader 0.12021
+wandb:               timings/frames 907.69275
+wandb:       timings/train backward 0.02544
+wandb:      timings/train clip grad 0.00125
+wandb:        timings/train forward 0.31923
+wandb: timings/train optimizer step 0.00069
+wandb:           timings/validation 528.96947
+wandb:   unclipped_gradient_l2_norm 61.21071
+wandb:                     val_loss 157.28042
+wandb:              weights_l2_norm 542.39395
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_182053-rpee3obl
+wandb: Find logs at: ./wandb/offline-run-20260506_182053-rpee3obl/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed110/train_3452976.err b/dataset_seed1-weight_init_seed1-bitflip_seed110/train_3452976.err
new file mode 100644
index 0000000000000000000000000000000000000000..e395dd7077cac62601b5a65984f85c867979ba38
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed110/train_3452976.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 vup6iapz.
+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 158.78915
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00013
+wandb:           timings/dataloader 0.11927
+wandb:               timings/frames 907.82311
+wandb:       timings/train backward 0.02403
+wandb:      timings/train clip grad 0.00125
+wandb:        timings/train forward 0.31966
+wandb: timings/train optimizer step 0.00069
+wandb:           timings/validation 507.40537
+wandb:   unclipped_gradient_l2_norm 57.93848
+wandb:                     val_loss 157.28145
+wandb:              weights_l2_norm 541.68246
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_182255-vup6iapz
+wandb: Find logs at: ./wandb/offline-run-20260506_182255-vup6iapz/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed112/train_3452978.err b/dataset_seed1-weight_init_seed1-bitflip_seed112/train_3452978.err
new file mode 100644
index 0000000000000000000000000000000000000000..6b007023692c24cbdacd7e3f354b038e7d4dd242
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed112/train_3452978.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 satjg3pk.
+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 159.07122
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12051
+wandb:               timings/frames 908.43236
+wandb:       timings/train backward 0.02487
+wandb:      timings/train clip grad 0.0013
+wandb:        timings/train forward 0.31904
+wandb: timings/train optimizer step 0.00071
+wandb:           timings/validation 516.78875
+wandb:   unclipped_gradient_l2_norm 61.34542
+wandb:                     val_loss 157.26855
+wandb:              weights_l2_norm 542.21742
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_182415-satjg3pk
+wandb: Find logs at: ./wandb/offline-run-20260506_182415-satjg3pk/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_data_order.txt b/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_data_order.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b95f2ec31ec244ec3bd2e9ea4be02b157cbb4b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_data_order.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8537c47cd0946626f0520996b8d2c5e2d91381717395e809e2be6ec9785a3f3
+size 24581394
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_snapshot_000000000.weights b/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_snapshot_000000000.weights
new file mode 100644
index 0000000000000000000000000000000000000000..349adf25399a76bebf0325e47d0cde45040fa476
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_snapshot_000000000.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2af087d23b76599e5c356607cab400933d1f9d65a054e4a7b1b255279ef8553b
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_snapshot_160005120.weights b/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_snapshot_160005120.weights
new file mode 100644
index 0000000000000000000000000000000000000000..97747b89b1080f7586fa692e358f87250b5d2cbd
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed113/STEVE-1_snapshot_160005120.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:618fd3fc5c377a1ab027ba1e63ceae270cbb086605a367b4cdc4e44f9ea36f4d
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed113/train_3452979.out b/dataset_seed1-weight_init_seed1-bitflip_seed113/train_3452979.out
new file mode 100644
index 0000000000000000000000000000000000000000..254c4444e2863a06a240feede41d39196a137204
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed113/train_3452979.out
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e76cabec2465340ceea40e6d48168042b0a5c85753becbfe9b23a75d7a4606e
+size 13177832
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed114/train_3452980.err b/dataset_seed1-weight_init_seed1-bitflip_seed114/train_3452980.err
new file mode 100644
index 0000000000000000000000000000000000000000..4bead2bb3dd8fffff3c5df674af0c2e47ba8b204
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed114/train_3452980.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 zo4luwil.
+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 159.71064
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.09773
+wandb:               timings/frames 913.08042
+wandb:       timings/train backward 0.02389
+wandb:      timings/train clip grad 0.00137
+wandb:        timings/train forward 0.31846
+wandb: timings/train optimizer step 0.00076
+wandb:           timings/validation 516.90201
+wandb:   unclipped_gradient_l2_norm 58.17559
+wandb:                     val_loss 157.3387
+wandb:              weights_l2_norm 542.34885
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_182534-zo4luwil
+wandb: Find logs at: ./wandb/offline-run-20260506_182534-zo4luwil/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed118/STEVE-1_data_order.txt b/dataset_seed1-weight_init_seed1-bitflip_seed118/STEVE-1_data_order.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b95f2ec31ec244ec3bd2e9ea4be02b157cbb4b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed118/STEVE-1_data_order.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8537c47cd0946626f0520996b8d2c5e2d91381717395e809e2be6ec9785a3f3
+size 24581394
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed118/train_3452984.out b/dataset_seed1-weight_init_seed1-bitflip_seed118/train_3452984.out
new file mode 100644
index 0000000000000000000000000000000000000000..34218d7c6932d9618a9435ea342d93c316428a80
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed118/train_3452984.out
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ea813a9fedda0afa6b90923ebf273ee1d1b2091f0a8d68822a1b09000ccf1a2
+size 13178271
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed119/train_3452985.err b/dataset_seed1-weight_init_seed1-bitflip_seed119/train_3452985.err
new file mode 100644
index 0000000000000000000000000000000000000000..097a8a3601b2e4ffe5a19deda8b67bb625c0170b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed119/train_3452985.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 qc4xzk5x.
+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 158.83495
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11654
+wandb:               timings/frames 910.33947
+wandb:       timings/train backward 0.02327
+wandb:      timings/train clip grad 0.00137
+wandb:        timings/train forward 0.31883
+wandb: timings/train optimizer step 0.0008
+wandb:           timings/validation 516.73431
+wandb:   unclipped_gradient_l2_norm 59.32154
+wandb:                     val_loss 157.35151
+wandb:              weights_l2_norm 541.28348
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260506_182605-qc4xzk5x
+wandb: Find logs at: ./wandb/offline-run-20260506_182605-qc4xzk5x/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed121/train_3487943.err b/dataset_seed1-weight_init_seed1-bitflip_seed121/train_3487943.err
new file mode 100644
index 0000000000000000000000000000000000000000..6e7082100dc9891bdae2d65a99d26d9a7bc1a0df
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed121/train_3487943.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 pcgochnm.
+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 158.96523
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.13635
+wandb:               timings/frames 909.03468
+wandb:       timings/train backward 0.01873
+wandb:      timings/train clip grad 0.00128
+wandb:        timings/train forward 0.3202
+wandb: timings/train optimizer step 0.00078
+wandb:           timings/validation 526.29567
+wandb:   unclipped_gradient_l2_norm 57.07306
+wandb:                     val_loss 157.26218
+wandb:              weights_l2_norm 540.60468
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133150-pcgochnm
+wandb: Find logs at: ./wandb/offline-run-20260509_133150-pcgochnm/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed122/train_3487944.err b/dataset_seed1-weight_init_seed1-bitflip_seed122/train_3487944.err
new file mode 100644
index 0000000000000000000000000000000000000000..3a825b93a7d429546226629387a7673cc5674812
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed122/train_3487944.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 9fhxlkqt.
+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 159.32471
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11916
+wandb:               timings/frames 905.0336
+wandb:       timings/train backward 0.02359
+wandb:      timings/train clip grad 0.00132
+wandb:        timings/train forward 0.32093
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 507.19511
+wandb:   unclipped_gradient_l2_norm 59.64619
+wandb:                     val_loss 157.26078
+wandb:              weights_l2_norm 543.40694
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133145-9fhxlkqt
+wandb: Find logs at: ./wandb/offline-run-20260509_133145-9fhxlkqt/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed124/train_3487946.err b/dataset_seed1-weight_init_seed1-bitflip_seed124/train_3487946.err
new file mode 100644
index 0000000000000000000000000000000000000000..bbdbd2dd9df03e10a49fdc2c91c121a32ffb2948
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed124/train_3487946.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 gzju8l11.
+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 158.90569
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11468
+wandb:               timings/frames 906.94392
+wandb:       timings/train backward 0.0238
+wandb:      timings/train clip grad 0.00133
+wandb:        timings/train forward 0.31984
+wandb: timings/train optimizer step 0.00069
+wandb:           timings/validation 514.04209
+wandb:   unclipped_gradient_l2_norm 59.31052
+wandb:                     val_loss 157.28276
+wandb:              weights_l2_norm 543.69364
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133146-gzju8l11
+wandb: Find logs at: ./wandb/offline-run-20260509_133146-gzju8l11/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed125/train_3487947.err b/dataset_seed1-weight_init_seed1-bitflip_seed125/train_3487947.err
new file mode 100644
index 0000000000000000000000000000000000000000..533a6e53b6300bdab38babad72e992428c65b377
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed125/train_3487947.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 usoui6cp.
+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 159.38363
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00016
+wandb:           timings/dataloader 0.12691
+wandb:               timings/frames 909.20928
+wandb:       timings/train backward 0.02356
+wandb:      timings/train clip grad 0.00139
+wandb:        timings/train forward 0.31908
+wandb: timings/train optimizer step 0.00078
+wandb:           timings/validation 511.68925
+wandb:   unclipped_gradient_l2_norm 62.66895
+wandb:                     val_loss 157.27196
+wandb:              weights_l2_norm 543.08083
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133147-usoui6cp
+wandb: Find logs at: ./wandb/offline-run-20260509_133147-usoui6cp/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed127/train_3487949.err b/dataset_seed1-weight_init_seed1-bitflip_seed127/train_3487949.err
new file mode 100644
index 0000000000000000000000000000000000000000..b6724bed3d194a523225d2c6a2338dce140accd7
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed127/train_3487949.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 xbqj2ic0.
+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 158.86493
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11294
+wandb:               timings/frames 912.04154
+wandb:       timings/train backward 0.02368
+wandb:      timings/train clip grad 0.00134
+wandb:        timings/train forward 0.31844
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 508.11181
+wandb:   unclipped_gradient_l2_norm 57.49168
+wandb:                     val_loss 157.34236
+wandb:              weights_l2_norm 542.12471
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133147-xbqj2ic0
+wandb: Find logs at: ./wandb/offline-run-20260509_133147-xbqj2ic0/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed128/train_3487950.err b/dataset_seed1-weight_init_seed1-bitflip_seed128/train_3487950.err
new file mode 100644
index 0000000000000000000000000000000000000000..790b81587478c558a8d4a1927840b7f13ef5da6e
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed128/train_3487950.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 ld0xidtb.
+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 159.29768
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.11185
+wandb:               timings/frames 904.07239
+wandb:       timings/train backward 0.02398
+wandb:      timings/train clip grad 0.00136
+wandb:        timings/train forward 0.32133
+wandb: timings/train optimizer step 0.00076
+wandb:           timings/validation 518.23199
+wandb:   unclipped_gradient_l2_norm 61.31929
+wandb:                     val_loss 157.39871
+wandb:              weights_l2_norm 543.51331
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133148-ld0xidtb
+wandb: Find logs at: ./wandb/offline-run-20260509_133148-ld0xidtb/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed130/train_3487952.err b/dataset_seed1-weight_init_seed1-bitflip_seed130/train_3487952.err
new file mode 100644
index 0000000000000000000000000000000000000000..5d149b3071111fbdf958051439209fbc2ad98bf4
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed130/train_3487952.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 9z3cz1jk.
+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 158.71217
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.1182
+wandb:               timings/frames 907.29798
+wandb:       timings/train backward 0.02387
+wandb:      timings/train clip grad 0.00137
+wandb:        timings/train forward 0.31962
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 512.13929
+wandb:   unclipped_gradient_l2_norm 57.33997
+wandb:                     val_loss 157.29476
+wandb:              weights_l2_norm 543.25215
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133145-9z3cz1jk
+wandb: Find logs at: ./wandb/offline-run-20260509_133145-9z3cz1jk/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed133/train_3487955.err b/dataset_seed1-weight_init_seed1-bitflip_seed133/train_3487955.err
new file mode 100644
index 0000000000000000000000000000000000000000..fad382e858cac0721f2746d1409f2bb20326dde6
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed133/train_3487955.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 jkds5f2y.
+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 159.59779
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11648
+wandb:               timings/frames 908.01923
+wandb:       timings/train backward 0.02386
+wandb:      timings/train clip grad 0.00133
+wandb:        timings/train forward 0.31972
+wandb: timings/train optimizer step 0.00073
+wandb:           timings/validation 521.55231
+wandb:   unclipped_gradient_l2_norm 63.15483
+wandb:                     val_loss 157.23914
+wandb:              weights_l2_norm 541.27558
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133145-jkds5f2y
+wandb: Find logs at: ./wandb/offline-run-20260509_133145-jkds5f2y/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed134/train_3487956.err b/dataset_seed1-weight_init_seed1-bitflip_seed134/train_3487956.err
new file mode 100644
index 0000000000000000000000000000000000000000..6e7b3ba59b9fcf28a4d9b99da4ef4bf78b8c105d
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed134/train_3487956.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 wfh6juuc.
+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 159.63029
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11055
+wandb:               timings/frames 904.50453
+wandb:       timings/train backward 0.02548
+wandb:      timings/train clip grad 0.00135
+wandb:        timings/train forward 0.32084
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 511.5096
+wandb:   unclipped_gradient_l2_norm 56.99218
+wandb:                     val_loss 157.32263
+wandb:              weights_l2_norm 541.67408
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_133146-wfh6juuc
+wandb: Find logs at: ./wandb/offline-run-20260509_133146-wfh6juuc/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed135/train_3487957.err b/dataset_seed1-weight_init_seed1-bitflip_seed135/train_3487957.err
new file mode 100644
index 0000000000000000000000000000000000000000..33ef6ae9b02aec06fcd40d31c0048e14f502c84d
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed135/train_3487957.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 va3ywbas.
+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 159.77169
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.10916
+wandb:               timings/frames 912.12186
+wandb:       timings/train backward 0.02315
+wandb:      timings/train clip grad 0.00131
+wandb:        timings/train forward 0.31835
+wandb: timings/train optimizer step 0.00072
+wandb:           timings/validation 511.41369
+wandb:   unclipped_gradient_l2_norm 56.82497
+wandb:                     val_loss 157.33121
+wandb:              weights_l2_norm 541.39631
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_134217-va3ywbas
+wandb: Find logs at: ./wandb/offline-run-20260509_134217-va3ywbas/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_data_order.txt b/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_data_order.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b95f2ec31ec244ec3bd2e9ea4be02b157cbb4b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_data_order.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8537c47cd0946626f0520996b8d2c5e2d91381717395e809e2be6ec9785a3f3
+size 24581394
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_snapshot_000000000.weights b/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_snapshot_000000000.weights
new file mode 100644
index 0000000000000000000000000000000000000000..0e1d74911b46bacbce8865939dc145a86b0aa03b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_snapshot_000000000.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d9eae7f9e2d058a5edfecc22cc9fb82d96b7330b59c6e89cde5cd11d4bb7509
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_snapshot_160005120.weights b/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_snapshot_160005120.weights
new file mode 100644
index 0000000000000000000000000000000000000000..7a778feedededb4b601a389424eb734545c43ae6
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed136/STEVE-1_snapshot_160005120.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0daff8e1130739a5eba21abf70fefa2cb810fc58d169a3e65ea0a76a4c0a0bfc
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed136/train_3487958.out b/dataset_seed1-weight_init_seed1-bitflip_seed136/train_3487958.out
new file mode 100644
index 0000000000000000000000000000000000000000..8424c436716f62b76c8e9608e87241d5edb2daec
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed136/train_3487958.out
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2749eeaa9ccedbcb581ba623173ab367f1e8dfa327413c910ba75ca4b43e68a8
+size 13178606
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed137/train_3487959.err b/dataset_seed1-weight_init_seed1-bitflip_seed137/train_3487959.err
new file mode 100644
index 0000000000000000000000000000000000000000..b1cc5f89ecb266315f1ce1e399023d10d4799477
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed137/train_3487959.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 i7y8f3sj.
+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 159.22807
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00013
+wandb:           timings/dataloader 0.11627
+wandb:               timings/frames 904.31569
+wandb:       timings/train backward 0.02352
+wandb:      timings/train clip grad 0.00132
+wandb:        timings/train forward 0.32108
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 527.5766
+wandb:   unclipped_gradient_l2_norm 60.0499
+wandb:                     val_loss 157.31683
+wandb:              weights_l2_norm 542.74508
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_134716-i7y8f3sj
+wandb: Find logs at: ./wandb/offline-run-20260509_134716-i7y8f3sj/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed138/STEVE-1_data_order.txt b/dataset_seed1-weight_init_seed1-bitflip_seed138/STEVE-1_data_order.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b95f2ec31ec244ec3bd2e9ea4be02b157cbb4b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed138/STEVE-1_data_order.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8537c47cd0946626f0520996b8d2c5e2d91381717395e809e2be6ec9785a3f3
+size 24581394
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed138/train_3487960.out b/dataset_seed1-weight_init_seed1-bitflip_seed138/train_3487960.out
new file mode 100644
index 0000000000000000000000000000000000000000..b8aab7e37803491d4011b77eca8c80b7555c606e
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed138/train_3487960.out
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b88464666373193e9f6d54f82f76d4ff143c9331e312f736b8d0b1286aa39f00
+size 13178482
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed139/train_3487961.err b/dataset_seed1-weight_init_seed1-bitflip_seed139/train_3487961.err
new file mode 100644
index 0000000000000000000000000000000000000000..1f8764a5654830a1ad56e94cdc2cca3b90ecf911
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed139/train_3487961.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 lirx9a0g.
+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 159.6779
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.10692
+wandb:               timings/frames 907.51126
+wandb:       timings/train backward 0.02451
+wandb:      timings/train clip grad 0.00131
+wandb:        timings/train forward 0.32012
+wandb: timings/train optimizer step 0.00072
+wandb:           timings/validation 512.09403
+wandb:   unclipped_gradient_l2_norm 59.67678
+wandb:                     val_loss 157.22564
+wandb:              weights_l2_norm 544.2001
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_141049-lirx9a0g
+wandb: Find logs at: ./wandb/offline-run-20260509_141049-lirx9a0g/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed140/STEVE-1_data_order.txt b/dataset_seed1-weight_init_seed1-bitflip_seed140/STEVE-1_data_order.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b95f2ec31ec244ec3bd2e9ea4be02b157cbb4b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed140/STEVE-1_data_order.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8537c47cd0946626f0520996b8d2c5e2d91381717395e809e2be6ec9785a3f3
+size 24581394
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed140/train_3487962.out b/dataset_seed1-weight_init_seed1-bitflip_seed140/train_3487962.out
new file mode 100644
index 0000000000000000000000000000000000000000..fee93294d71c27d83697d6e386a233d215dcdd2f
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed140/train_3487962.out
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe3c80d97b53e66e7e13c4f34140716564e79fd13a509c781e202e1cae420dde
+size 13178432
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed142/train_3488001.err b/dataset_seed1-weight_init_seed1-bitflip_seed142/train_3488001.err
new file mode 100644
index 0000000000000000000000000000000000000000..0b83cdfb11abfb5aff8736e75eb29e86cb191d86
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed142/train_3488001.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 co7b5l1z.
+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 158.66782
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.10928
+wandb:               timings/frames 908.9229
+wandb:       timings/train backward 0.02408
+wandb:      timings/train clip grad 0.00134
+wandb:        timings/train forward 0.31954
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 512.10756
+wandb:   unclipped_gradient_l2_norm 57.56685
+wandb:                     val_loss 157.28805
+wandb:              weights_l2_norm 543.81506
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_143952-co7b5l1z
+wandb: Find logs at: ./wandb/offline-run-20260509_143952-co7b5l1z/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed145/train_3488004.err b/dataset_seed1-weight_init_seed1-bitflip_seed145/train_3488004.err
new file mode 100644
index 0000000000000000000000000000000000000000..7c3bb5360e31416a1e50f784d9dfad3c2f103cb0
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed145/train_3488004.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 jpdvuoh7.
+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 158.9303
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12069
+wandb:               timings/frames 907.69121
+wandb:       timings/train backward 0.02383
+wandb:      timings/train clip grad 0.0013
+wandb:        timings/train forward 0.32004
+wandb: timings/train optimizer step 0.00072
+wandb:           timings/validation 512.87704
+wandb:   unclipped_gradient_l2_norm 60.11179
+wandb:                     val_loss 157.34023
+wandb:              weights_l2_norm 541.25645
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_145424-jpdvuoh7
+wandb: Find logs at: ./wandb/offline-run-20260509_145424-jpdvuoh7/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed146/train_3488005.err b/dataset_seed1-weight_init_seed1-bitflip_seed146/train_3488005.err
new file mode 100644
index 0000000000000000000000000000000000000000..10cd4b82a0537e106636764b76d8e984ac4319e7
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed146/train_3488005.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 m9issktc.
+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 159.31197
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11387
+wandb:               timings/frames 908.60955
+wandb:       timings/train backward 0.02373
+wandb:      timings/train clip grad 0.00129
+wandb:        timings/train forward 0.31971
+wandb: timings/train optimizer step 0.00073
+wandb:           timings/validation 509.93219
+wandb:   unclipped_gradient_l2_norm 62.08678
+wandb:                     val_loss 157.29865
+wandb:              weights_l2_norm 542.5848
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_145420-m9issktc
+wandb: Find logs at: ./wandb/offline-run-20260509_145420-m9issktc/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed149/train_3488008.err b/dataset_seed1-weight_init_seed1-bitflip_seed149/train_3488008.err
new file mode 100644
index 0000000000000000000000000000000000000000..56e850af1d3c754f87fec672da969046faec904d
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed149/train_3488008.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 hql8rf72.
+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 159.39971
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12157
+wandb:               timings/frames 909.24172
+wandb:       timings/train backward 0.02343
+wandb:      timings/train clip grad 0.00133
+wandb:        timings/train forward 0.31943
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 516.26946
+wandb:   unclipped_gradient_l2_norm 60.28348
+wandb:                     val_loss 157.3051
+wandb:              weights_l2_norm 542.552
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_155159-hql8rf72
+wandb: Find logs at: ./wandb/offline-run-20260509_155159-hql8rf72/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed150/train_3488009.err b/dataset_seed1-weight_init_seed1-bitflip_seed150/train_3488009.err
new file mode 100644
index 0000000000000000000000000000000000000000..055ecde51b400f9b7ac08612e0e6e006e5f39b61
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed150/train_3488009.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 a7o3ibc2.
+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 159.41788
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.10397
+wandb:               timings/frames 906.63424
+wandb:       timings/train backward 0.02411
+wandb:      timings/train clip grad 0.00133
+wandb:        timings/train forward 0.3208
+wandb: timings/train optimizer step 0.00076
+wandb:           timings/validation 513.09246
+wandb:   unclipped_gradient_l2_norm 58.43557
+wandb:                     val_loss 157.30498
+wandb:              weights_l2_norm 542.02717
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_164550-a7o3ibc2
+wandb: Find logs at: ./wandb/offline-run-20260509_164550-a7o3ibc2/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed152/train_3488011.err b/dataset_seed1-weight_init_seed1-bitflip_seed152/train_3488011.err
new file mode 100644
index 0000000000000000000000000000000000000000..a917f2bd54b70f633aa858e995570c48ab94abcb
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed152/train_3488011.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 1ncdbr85.
+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 159.25584
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00016
+wandb:           timings/dataloader 0.17831
+wandb:               timings/frames 901.51807
+wandb:       timings/train backward 0.02381
+wandb:      timings/train clip grad 0.00149
+wandb:        timings/train forward 0.31962
+wandb: timings/train optimizer step 0.00083
+wandb:           timings/validation 529.31073
+wandb:   unclipped_gradient_l2_norm 59.52491
+wandb:                     val_loss 157.40992
+wandb:              weights_l2_norm 543.90654
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_172137-1ncdbr85
+wandb: Find logs at: ./wandb/offline-run-20260509_172137-1ncdbr85/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed153/STEVE-1_snapshot_000000000.weights b/dataset_seed1-weight_init_seed1-bitflip_seed153/STEVE-1_snapshot_000000000.weights
new file mode 100644
index 0000000000000000000000000000000000000000..5c591e28f008bc0ef6c6216327fb79a430300823
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed153/STEVE-1_snapshot_000000000.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97501baab82bb4e914deb486408571b116062dc7311959798b6e05ffb7ed2028
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed153/train_3488012.err b/dataset_seed1-weight_init_seed1-bitflip_seed153/train_3488012.err
new file mode 100644
index 0000000000000000000000000000000000000000..04899494fddae14b9375c953adb8277cd8bc43e2
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed153/train_3488012.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 pran6ce6.
+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 159.24059
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00013
+wandb:           timings/dataloader 0.10184
+wandb:               timings/frames 911.63679
+wandb:       timings/train backward 0.02378
+wandb:      timings/train clip grad 0.00131
+wandb:        timings/train forward 0.31927
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 512.61844
+wandb:   unclipped_gradient_l2_norm 59.88977
+wandb:                     val_loss 157.22569
+wandb:              weights_l2_norm 543.56722
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_172934-pran6ce6
+wandb: Find logs at: ./wandb/offline-run-20260509_172934-pran6ce6/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed154/train_3488013.err b/dataset_seed1-weight_init_seed1-bitflip_seed154/train_3488013.err
new file mode 100644
index 0000000000000000000000000000000000000000..8faa8eaaf1680341a4d59888641584746b4b861f
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed154/train_3488013.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 bj485gud.
+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 158.99548
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00013
+wandb:           timings/dataloader 0.11806
+wandb:               timings/frames 914.18036
+wandb:       timings/train backward 0.02331
+wandb:      timings/train clip grad 0.00128
+wandb:        timings/train forward 0.31736
+wandb: timings/train optimizer step 0.00072
+wandb:           timings/validation 509.7553
+wandb:   unclipped_gradient_l2_norm 57.11199
+wandb:                     val_loss 157.32754
+wandb:              weights_l2_norm 540.75223
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_173138-bj485gud
+wandb: Find logs at: ./wandb/offline-run-20260509_173138-bj485gud/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed157/train_3488016.err b/dataset_seed1-weight_init_seed1-bitflip_seed157/train_3488016.err
new file mode 100644
index 0000000000000000000000000000000000000000..42db3866ad16d42e890aca9fb654368572ac3e33
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed157/train_3488016.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 pbmv5ask.
+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 159.34092
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12074
+wandb:               timings/frames 904.20732
+wandb:       timings/train backward 0.02408
+wandb:      timings/train clip grad 0.00133
+wandb:        timings/train forward 0.32067
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 512.28804
+wandb:   unclipped_gradient_l2_norm 59.61125
+wandb:                     val_loss 157.26539
+wandb:              weights_l2_norm 542.80528
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_173731-pbmv5ask
+wandb: Find logs at: ./wandb/offline-run-20260509_173731-pbmv5ask/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed158/train_3488017.err b/dataset_seed1-weight_init_seed1-bitflip_seed158/train_3488017.err
new file mode 100644
index 0000000000000000000000000000000000000000..48dedb75d5489561565d8f55b318068e2ab83749
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed158/train_3488017.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 4miib06u.
+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 158.97838
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00013
+wandb:           timings/dataloader 0.11223
+wandb:               timings/frames 907.8663
+wandb:       timings/train backward 0.0236
+wandb:      timings/train clip grad 0.00131
+wandb:        timings/train forward 0.32016
+wandb: timings/train optimizer step 0.00073
+wandb:           timings/validation 518.00638
+wandb:   unclipped_gradient_l2_norm 55.36762
+wandb:                     val_loss 157.30215
+wandb:              weights_l2_norm 540.83703
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_173931-4miib06u
+wandb: Find logs at: ./wandb/offline-run-20260509_173931-4miib06u/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_data_order.txt b/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_data_order.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b95f2ec31ec244ec3bd2e9ea4be02b157cbb4b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_data_order.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8537c47cd0946626f0520996b8d2c5e2d91381717395e809e2be6ec9785a3f3
+size 24581394
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_snapshot_000000000.weights b/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_snapshot_000000000.weights
new file mode 100644
index 0000000000000000000000000000000000000000..7acfca771fa9426f924f850ee41bc087355e3e1f
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_snapshot_000000000.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb502c8cb837680ca284ffa5c9a97f34f3b52161d49a10e8433465f098814edc
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_snapshot_160005120.weights b/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_snapshot_160005120.weights
new file mode 100644
index 0000000000000000000000000000000000000000..b70bf661e9a896e1d75a1f3a2ec070d8c1490e22
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed159/STEVE-1_snapshot_160005120.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21b689aa86b96bc51ce36588321a5ee1d2ac193722a550e31dedf6fb0e75b9f
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed159/train_3488018.out b/dataset_seed1-weight_init_seed1-bitflip_seed159/train_3488018.out
new file mode 100644
index 0000000000000000000000000000000000000000..9ec2d2cc6f59dae1d57f62baa25639057813fed8
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed159/train_3488018.out
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad3bcb0a3bc5798d53236424252827a3b2ef6839700ed65da18aa4d37ba46872
+size 13178275
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed161/train_3488020.err b/dataset_seed1-weight_init_seed1-bitflip_seed161/train_3488020.err
new file mode 100644
index 0000000000000000000000000000000000000000..52190c98ddd8d5b0cb0575617d44d2669c831537
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed161/train_3488020.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 9srgb7cl.
+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 158.76843
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00021
+wandb:           timings/dataloader 0.12024
+wandb:               timings/frames 905.98252
+wandb:       timings/train backward 0.02407
+wandb:      timings/train clip grad 0.00126
+wandb:        timings/train forward 0.32016
+wandb: timings/train optimizer step 0.0007
+wandb:           timings/validation 508.79307
+wandb:   unclipped_gradient_l2_norm 59.35644
+wandb:                     val_loss 157.28166
+wandb:              weights_l2_norm 543.23887
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260509_193514-9srgb7cl
+wandb: Find logs at: ./wandb/offline-run-20260509_193514-9srgb7cl/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed162/train_3521223.err b/dataset_seed1-weight_init_seed1-bitflip_seed162/train_3521223.err
new file mode 100644
index 0000000000000000000000000000000000000000..1ade8b1a821ec36f89ae99473aab5d4f1f86e1d3
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed162/train_3521223.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 uwpxujbl.
+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 159.74625
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12099
+wandb:               timings/frames 908.31112
+wandb:       timings/train backward 0.02342
+wandb:      timings/train clip grad 0.00134
+wandb:        timings/train forward 0.31991
+wandb: timings/train optimizer step 0.00075
+wandb:           timings/validation 518.28873
+wandb:   unclipped_gradient_l2_norm 57.69373
+wandb:                     val_loss 157.26094
+wandb:              weights_l2_norm 542.36926
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212323-uwpxujbl
+wandb: Find logs at: ./wandb/offline-run-20260511_212323-uwpxujbl/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed164/train_3521225.err b/dataset_seed1-weight_init_seed1-bitflip_seed164/train_3521225.err
new file mode 100644
index 0000000000000000000000000000000000000000..db663172f5f7fcccf35ce2ccd14c3bfccb0443cc
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed164/train_3521225.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 58vfv7ak.
+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 159.17343
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.12295
+wandb:               timings/frames 904.74131
+wandb:       timings/train backward 0.024
+wandb:      timings/train clip grad 0.00142
+wandb:        timings/train forward 0.32057
+wandb: timings/train optimizer step 0.00079
+wandb:           timings/validation 525.41216
+wandb:   unclipped_gradient_l2_norm 57.27943
+wandb:                     val_loss 157.28921
+wandb:              weights_l2_norm 543.40352
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212324-58vfv7ak
+wandb: Find logs at: ./wandb/offline-run-20260511_212324-58vfv7ak/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed166/train_3521227.err b/dataset_seed1-weight_init_seed1-bitflip_seed166/train_3521227.err
new file mode 100644
index 0000000000000000000000000000000000000000..8b21ecc0c9df515f842e472fc6066e241059ecc6
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed166/train_3521227.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 7e1b75hp.
+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 159.33509
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.12333
+wandb:               timings/frames 907.13997
+wandb:       timings/train backward 0.02347
+wandb:      timings/train clip grad 0.00135
+wandb:        timings/train forward 0.31998
+wandb: timings/train optimizer step 0.00076
+wandb:           timings/validation 518.45475
+wandb:   unclipped_gradient_l2_norm 58.22975
+wandb:                     val_loss 157.34475
+wandb:              weights_l2_norm 542.14739
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212324-7e1b75hp
+wandb: Find logs at: ./wandb/offline-run-20260511_212324-7e1b75hp/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed169/train_3521230.err b/dataset_seed1-weight_init_seed1-bitflip_seed169/train_3521230.err
new file mode 100644
index 0000000000000000000000000000000000000000..4bb8383c1a5be3502df4c2c96e357268a2ebc874
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed169/train_3521230.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 g3qnlbz8.
+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 159.16765
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00015
+wandb:           timings/dataloader 0.10387
+wandb:               timings/frames 912.36832
+wandb:       timings/train backward 0.02333
+wandb:      timings/train clip grad 0.00135
+wandb:        timings/train forward 0.31871
+wandb: timings/train optimizer step 0.00076
+wandb:           timings/validation 524.82384
+wandb:   unclipped_gradient_l2_norm 63.07838
+wandb:                     val_loss 157.25627
+wandb:              weights_l2_norm 543.89833
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212320-g3qnlbz8
+wandb: Find logs at: ./wandb/offline-run-20260511_212320-g3qnlbz8/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed170/train_3521231.err b/dataset_seed1-weight_init_seed1-bitflip_seed170/train_3521231.err
new file mode 100644
index 0000000000000000000000000000000000000000..7ecb2c2c5a59251fca4b13d4a3831c3075e84410
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed170/train_3521231.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 ktptt7mj.
+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 159.80363
+wandb:             processed_frames 160005120
+wandb:                         step 208340
+wandb:            timings/data prep 0.00014
+wandb:           timings/dataloader 0.11217
+wandb:               timings/frames 908.54979
+wandb:       timings/train backward 0.02503
+wandb:      timings/train clip grad 0.00132
+wandb:        timings/train forward 0.31957
+wandb: timings/train optimizer step 0.00074
+wandb:           timings/validation 509.73108
+wandb:   unclipped_gradient_l2_norm 59.08529
+wandb:                     val_loss 157.25843
+wandb:              weights_l2_norm 541.68805
+wandb: 
+wandb: You can sync this run to the cloud by running:
+wandb: wandb sync /mnt/STEVE-1/wandb/offline-run-20260511_212318-ktptt7mj
+wandb: Find logs at: ./wandb/offline-run-20260511_212318-ktptt7mj/logs
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed171/train_3521232.err b/dataset_seed1-weight_init_seed1-bitflip_seed171/train_3521232.err
new file mode 100644
index 0000000000000000000000000000000000000000..2e9f8cd3bf0d0713fe405587b7d2310af51370d0
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed171/train_3521232.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 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_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_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_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/STEVE-1_data_order.txt b/dataset_seed1-weight_init_seed1-bitflip_seed181/STEVE-1_data_order.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b95f2ec31ec244ec3bd2e9ea4be02b157cbb4b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed181/STEVE-1_data_order.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8537c47cd0946626f0520996b8d2c5e2d91381717395e809e2be6ec9785a3f3
+size 24581394
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed181/STEVE-1_snapshot_000000000.weights b/dataset_seed1-weight_init_seed1-bitflip_seed181/STEVE-1_snapshot_000000000.weights
new file mode 100644
index 0000000000000000000000000000000000000000..8147a1c010b3cdc0e06f495472fa1eb7b0d7e8d9
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed181/STEVE-1_snapshot_000000000.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ff3a89643269def060b3f1400846fd0077cbcc679d7256fde2c6fa992e4ed2a
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed181/STEVE-1_snapshot_160005120.weights b/dataset_seed1-weight_init_seed1-bitflip_seed181/STEVE-1_snapshot_160005120.weights
new file mode 100644
index 0000000000000000000000000000000000000000..72636cccdb2f06fd0265af48c313f1b9f05254ec
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed181/STEVE-1_snapshot_160005120.weights
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f480eabc8dc1138eec036f9fbff0710b94b8e872eb149da0eaedb7737fe9142
+size 998232390
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed181/train_3519014.out b/dataset_seed1-weight_init_seed1-bitflip_seed181/train_3519014.out
new file mode 100644
index 0000000000000000000000000000000000000000..547eda734a6e60613fef04b24bb729f65b848642
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed181/train_3519014.out
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ee346e0e58c29ba10cbddb3be313ed5a7d7c3ccd57513355392c176ada29708
+size 13177963
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_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_seed196/STEVE-1_data_order.txt b/dataset_seed1-weight_init_seed1-bitflip_seed196/STEVE-1_data_order.txt
new file mode 100644
index 0000000000000000000000000000000000000000..00b95f2ec31ec244ec3bd2e9ea4be02b157cbb4b
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed196/STEVE-1_data_order.txt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8537c47cd0946626f0520996b8d2c5e2d91381717395e809e2be6ec9785a3f3
+size 24581394
diff --git a/dataset_seed1-weight_init_seed1-bitflip_seed196/train_3519029.out b/dataset_seed1-weight_init_seed1-bitflip_seed196/train_3519029.out
new file mode 100644
index 0000000000000000000000000000000000000000..b502c9bf665c601c2284c9552f6d9c5ca57770ea
--- /dev/null
+++ b/dataset_seed1-weight_init_seed1-bitflip_seed196/train_3519029.out
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe323c689155f5e09cb25083da3437c6f78f980d24ba1ad02bf37df9dff6e053
+size 13178351
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_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