wandb/debug.log

2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_setup.py:_flush():80] Current SDK version is 0.23.1
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_setup.py:_flush():80] Configure stats pid to 769791
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_setup.py:_flush():80] Loading settings from /home/agarwali/.config/wandb/settings
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_setup.py:_flush():80] Loading settings from /orcd/home/002/agarwali/projects/adv_ft_interp/wandb/settings
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_setup.py:_flush():80] Loading settings from environment variables
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_init.py:setup_run_log_directory():714] Logging user logs to /orcd/home/002/agarwali/projects/adv_ft_interp/finetuning_runs/llava-1.5-7b-hf-r1-s3-patch_loss-h200-20260821-050840/wandb/run-20260821_051826-4qwwcf5b/logs/debug.log
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_init.py:setup_run_log_directory():715] Logging internal logs to /orcd/home/002/agarwali/projects/adv_ft_interp/finetuning_runs/llava-1.5-7b-hf-r1-s3-patch_loss-h200-20260821-050840/wandb/run-20260821_051826-4qwwcf5b/logs/debug-internal.log
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_init.py:init():841] calling init triggers
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_init.py:init():846] wandb.init called with sweep_config: {}
config: {'objective_smoke_test': False, 'model_name': 'llava-hf/llava-1.5-7b-hf', 'clip_model_name': 'openai/clip-vit-large-patch14-336', 'original_path': '/home/agarwali/orcd/datasets/imagenet/images_complete/ilsvrc/val', 'perturbed_path': '/home/agarwali/orcd/pool/ImageNet-C', 'output_dir': '/orcd/home/002/agarwali/projects/adv_ft_interp/finetuning_runs', 'run_name': 'llava-1.5-7b-hf-r1-s3-patch_loss-h200-20260821-050840', 'split_metadata_path': '/orcd/home/002/agarwali/projects/adv_ft_interp/scripts/finetuning_source_splits.json', 'corruptions': None, 'eval_corruptions': None, 'rotation': 'R1', 'severities': '3', 'max_pairs': None, 'train_frac': 0.8, 'val_frac': 0.1, 'seed': 0, 'num_epochs': 3, 'batch_size': 64, 'skip_initial_metrics': False, 'expected_train_examples': 120000, 'expected_steps_per_epoch': 1875, 'num_workers': 8, 'lr': 1e-05, 'weight_decay': 0.01, 'lr_scheduler': 'cosine', 'warmup_ratio': 0.1, 'max_grad_norm': 1.0, 'torch_dtype': 'float16', 'device': 'cuda', 'freeze_projection': False, 'wandb_project': 'llava-1-5-7b-hf-patch_loss-ft', 'wandb_entity': 'adv-ft-interp', 'wandb_mode': 'online', 'wandb_run_name': 'llava-1.5-7b-hf-r1-s3-patch_loss-h200-20260821-050840', 'wandb_log_every_steps': 125, 'push_to_hub': True, 'repo_id': 'Adv-FT-Interp/llava-1.5-7b-hf-s3-patch_loss', 'lambda_patch': 0.1, '_wandb': {}}
2026-08-21 05:18:26,314 INFO    MainThread:769791 [wandb_init.py:init():889] starting backend
2026-08-21 05:18:27,536 INFO    MainThread:769791 [wandb_init.py:init():892] sending inform_init request
2026-08-21 05:18:27,591 INFO    MainThread:769791 [wandb_init.py:init():900] backend started and connected
2026-08-21 05:18:27,595 INFO    MainThread:769791 [wandb_init.py:init():970] updated telemetry
2026-08-21 05:18:27,675 INFO    MainThread:769791 [wandb_init.py:init():994] communicating run to backend with 90.0 second timeout
2026-08-21 05:18:28,457 INFO    MainThread:769791 [wandb_init.py:init():1041] starting run threads in backend
2026-08-21 05:18:29,373 INFO    MainThread:769791 [wandb_run.py:_console_start():2521] atexit reg
2026-08-21 05:18:29,373 INFO    MainThread:769791 [wandb_run.py:_redirect():2369] redirect: wrap_raw
2026-08-21 05:18:29,373 INFO    MainThread:769791 [wandb_run.py:_redirect():2438] Wrapping output streams.
2026-08-21 05:18:29,373 INFO    MainThread:769791 [wandb_run.py:_redirect():2461] Redirects installed.
2026-08-21 05:18:29,383 INFO    MainThread:769791 [wandb_init.py:init():1081] run started, returning control to user process
2026-08-21 05:18:29,383 INFO    MainThread:769791 [wandb_run.py:_config_callback():1396] config_cb None None {'training_script': 'finetuning_patch_loss.py', 'experiment_name': 'final_layer_patch_loss', 'objective': {'formula': 'projected_global_l2 + lambda_patch * mean_normalized_final_patch_l2', 'lambda_patch': 0.1, 'patch_correspondence': 'same_position', 'cls_excluded': True}, 'projection_frozen': False}