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openvla_dino_siglip_llama2_libero_spatial_full_finetune_bs64/openvla_dino_siglip_llama2_libero_spatial_full_finetune_2026_05_27_09_34_01.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
openvla_dino_siglip_llama2_libero_spatial_full_finetune_bs64/run-metrics.jsonl ADDED
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'per_device_batch_size': 8, 'per_device_num_workers': 4}, 'runner': {'collator': {'ignore_idx': -100, 'model_max_length': 2048, 'pad_token_id': 0, 'padding_side': 'right', 'pixel_values_dtype': 'fp16', 'type': 'PaddedCollatorForActionPrediction'}, 'enable_gradient_checkpointing': False, 'enable_mixed_precision_training': True, 'eval': {'dataset': {'transforms': [{'img_keys': ['agentview_image', 'agentview_image'], 'type': 'ProcessLiberoEvalInputs'}, {'image_resize_strategy': 'resize-naive', 'input_sizes': [[3, 224, 224], [3, 224, 224]], 'means': [[123.515625, 116.04492188, 103.59375], [128, 128, 128]], 'stds': [[58.27148438, 57.02636719, 57.27539062], [128, 128, 128]], 'type': 'TransformImage'}, {'max_len': None, 'prompt_suffix': ' ', 'tokenizer': {'model_path': 'openvla/openvla-7b-finetuned-libero-10', 'type': 'PretrainedTokenizer'}, 'type': 'LiberoPromptFromInputs'}], 'type': 'LiberoParquetEvalDataset'}, 'denormalize_action': {'action_norm_mask': [True, True, True, True, True, True, 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'args': Namespace(config='configs/openvla/openvla_dino_siglip_llama2_libero_spatial_full_finetune.py', work_dir='work_dirs/openvla_dino_siglip_llama2_libero_spatial_full_finetune_ba9d13a4_bs64', cfg_options={'train_dataloader.per_device_batch_size': 8, 'per_device_num_workers': 8, 'runner.max_keep_ckpts': 1}, eval_after_train=True, resume_from=None)}, 'eval': {'dataset': {'transforms': [{'img_keys': ['agentview_image', 'agentview_image'], 'type': 'ProcessLiberoEvalInputs'}, {'image_resize_strategy': 'resize-naive', 'input_sizes': [[3, 224, 224], [3, 224, 224]], 'means': [[123.515625, 116.04492188, 103.59375], [128, 128, 128]], 'stds': [[58.27148438, 57.02636719, 57.27539062], [128, 128, 128]], 'type': 'TransformImage'}, {'max_len': None, 'prompt_suffix': ' ', 'tokenizer': {'model_path': './checkpoints/openvla-7b-finetuned-libero-10', 'type': 'PretrainedTokenizer'}, 'type': 'LiberoPromptFromInputs'}], 'type': 'LiberoParquetEvalDataset'}, 'denormalize_action': {'action_norm_mask': [True, True, True, True, True, True, False], 'norm_type': 'quantile', 'type': 'DenormalizeLiberoAction'}, 'model_family': 'openvla', 'num_steps_wait': 10, 'num_trials_per_task': 50, 'resize_size': 224, 'seed': 7, 'task_suite_name': 'libero_spatial', 'type': 'LiberoEvalRunner'}, 'per_device_num_workers': 8}, 'args': Namespace(config='configs/openvla/openvla_dino_siglip_llama2_libero_spatial_full_finetune.py', work_dir='work_dirs/openvla_dino_siglip_llama2_libero_spatial_full_finetune_ba9d13a4_bs64', cfg_options={'train_dataloader.per_device_batch_size': 8, 'per_device_num_workers': 8, 'runner.max_keep_ckpts': 1}, eval_after_train=True, resume_from=None)}, 'eval': {'dataset': {'transforms': [{'img_keys': ['agentview_image', 'agentview_image'], 'type': 'ProcessLiberoEvalInputs'}, {'image_resize_strategy': 'resize-naive', 'input_sizes': [[3, 224, 224], [3, 224, 224]], 'means': [[123.515625, 116.04492188, 103.59375], [128, 128, 128]], 'stds': [[58.27148438, 57.02636719, 57.27539062], [128, 128, 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