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+ - tokenizer:
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+ type: ParquetDataset
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+ name_mappings:
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+ - action
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+ - proprio
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+ statistic_keys:
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+ - observation.state
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+ - timestamp
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+ - action
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+ statistic_name: libero_10_no_noops
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+ type: DistributedRepeatingDataset
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+ per_device_batch_size: 8
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+ per_device_num_workers: 4
pi05_paligemma_libero_10_full_finetune_bs64/dataset_statistics.json ADDED
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pi05_paligemma_libero_10_full_finetune_bs64/llm_backbone_config.json ADDED
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pi05_paligemma_libero_10_full_finetune_bs64/pi05_paligemma_libero_10_full_finetune_2026_03_12_06_33_02.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
pi05_paligemma_libero_10_full_finetune_bs64/run-metrics.jsonl ADDED
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+ {"hparams": "{'model': {'type': 'PI05FlowMatching', 'llm_backbone': {'type': 'ConditionGemmaModel', 'adarms_cond_dim': None, 'attention_bias': False, 'attention_dropout': 0.0, 'bos_token_id': 2, 'eos_token_id': 1, 'head_dim': 256, 'hidden_act': 'gelu_pytorch_tanh', 'hidden_activation': 'gelu_pytorch_tanh', 'hidden_size': 2048, 'initializer_range': 0.02, 'intermediate_size': 16384, 'max_position_embeddings': 8192, 'model_type': 'gemma', 'num_attention_heads': 8, 'num_hidden_layers': 18, 'num_key_value_heads': 1, 'rms_norm_eps': 1e-06, 'rope_theta': 10000.0, 'torch_dtype': 'float32', 'use_cache': True, 'vocab_size': 257152}, 'vision_backbone': {'type': 'SigLIPViTBackbone', 'vision_backbone_id': 'siglip_224', 'vision_config': {'attention_dropout': 0.0, 'hidden_act': 'gelu_pytorch_tanh', 'hidden_size': 1152, 'image_size': 224, 'intermediate_size': 4304, 'layer_norm_eps': 1e-06, 'model_type': 'siglip_vision_model', 'num_attention_heads': 16, 'num_channels': 3, 'num_hidden_layers': 27, 'patch_size': 14, 'projection_dim': 2048, 'projector_hidden_act': 'gelu_fast', 'torch_dtype': 'float32', 'vision_use_head': False}}, 'projector': {'type': 'LinearProjector', 'in_dim': 1152, 'out_dim': 2048}, 'proj_width': 1024, 'n_action_steps': 10, 'action_in_proj': {'type': 'LinearProjector', 'in_dim': 32, 'out_dim': 1024}, 'action_out_proj': {'type': 'LinearProjector', 'in_dim': 1024, 'out_dim': 32}, 'time_mlp_in': {'type': 'LinearProjector', 'in_dim': 1024, 'out_dim': 1024}, 'time_mlp_out': {'type': 'LinearProjector', 'in_dim': 1024, 'out_dim': 1024}, 'max_action_dim': 32, 'llm_expert': {'type': 'ConditionGemmaModel', 'attention_bias': False, 'adarms_cond_dim': 1024, 'attention_dropout': 0.0, 'bos_token_id': 2, 'eos_token_id': 1, 'head_dim': 256, 'hidden_act': 'gelu_pytorch_tanh', 'hidden_activation': 'gelu_pytorch_tanh', 'hidden_size': 1024, 'initializer_range': 0.02, 'intermediate_size': 4096, 'max_position_embeddings': 8192, 'model_type': 'gemma', 'num_attention_heads': 8, 'num_hidden_layers': 18, 'num_key_value_heads': 1, 'pad_token_id': 0, 'rms_norm_eps': 1e-06, 'rope_theta': 10000.0, 'torch_dtype': 'float32', 'transformers_version': '4.48.1', 'use_adarms': True, 'use_cache': True, 'vocab_size': 257152}, 'freeze_llm_backbone': False, 'freeze_vision_backbone': False, 'pretrained_name_or_path': './checkpoints/pi05_libero/model.safetensors', 'name_mapping': {'llm_backbone': 'paligemma_with_expert.paligemma.model.language_model', 'vision_backbone.vision': 'paligemma_with_expert.paligemma.model.vision_tower', 'projector.projector': 'paligemma_with_expert.paligemma.model.multi_modal_projector.linear', 'llm_expert': 'paligemma_with_expert.gemma_expert.model', 'time_mlp_in.projector': 'time_mlp_in', 'time_mlp_out.projector': 'time_mlp_out', 'action_in_proj.projector': 'action_in_proj', 'action_out_proj.projector': 'action_out_proj', 'llm_backbone.embed_tokens': 'paligemma_with_expert.paligemma.lm_head'}}, 'train_dataloader': {'per_device_batch_size': 8, 'per_device_num_workers': 4, 'dataset': {'type': 'DistributedRepeatingDataset', 'name_mappings': {'observation.state': ['proprio'], 'action': ['action']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_10_no_noops', 'datasets': {'type': 'ParquetDataset', 'data_root_path': './datasets/libero_10_no_noops_lerobotv2.1', 'transforms': [{'type': 'ProcessParquetInputs', 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats', 'action_masks'], 'video_keys': ['observation.images.image', 'observation.images.wrist_image'], 'name_mappings': {'observation.state': ['states'], 'actions': ['actions']}}, {'type': 'ParquetPrompter', 'use_conversation': False}, {'type': 'ProcessPrompts', 'tokenizer': {'type': 'PaligemmaTokenizer'}}, {'type': 'ResizeImages', 'height': 224, 'width': 224}, {'type': 'NormalizeImages', 'means': [[123.515625, 116.04492188, 103.59375], [123.515625, 116.04492188, 103.59375]], 'stds': [[58.27148438, 57.02636719, 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'num_channels': 3, 'num_hidden_layers': 27, 'patch_size': 14, 'projection_dim': 2048, 'projector_hidden_act': 'gelu_fast', 'torch_dtype': 'float32', 'vision_use_head': False}}, 'projector': {'type': 'LinearProjector', 'in_dim': 1152, 'out_dim': 2048}, 'proj_width': 1024, 'n_action_steps': 10, 'action_in_proj': {'type': 'LinearProjector', 'in_dim': 32, 'out_dim': 1024}, 'action_out_proj': {'type': 'LinearProjector', 'in_dim': 1024, 'out_dim': 32}, 'time_mlp_in': {'type': 'LinearProjector', 'in_dim': 1024, 'out_dim': 1024}, 'time_mlp_out': {'type': 'LinearProjector', 'in_dim': 1024, 'out_dim': 1024}, 'max_action_dim': 32, 'llm_expert': {'type': 'ConditionGemmaModel', 'attention_bias': False, 'adarms_cond_dim': 1024, 'attention_dropout': 0.0, 'bos_token_id': 2, 'eos_token_id': 1, 'head_dim': 256, 'hidden_act': 'gelu_pytorch_tanh', 'hidden_activation': 'gelu_pytorch_tanh', 'hidden_size': 1024, 'initializer_range': 0.02, 'intermediate_size': 4096, 'max_position_embeddings': 8192, 'model_type': 'gemma', 'num_attention_heads': 8, 'num_hidden_layers': 18, 'num_key_value_heads': 1, 'pad_token_id': 0, 'rms_norm_eps': 1e-06, 'rope_theta': 10000.0, 'torch_dtype': 'float32', 'transformers_version': '4.48.1', 'use_adarms': True, 'use_cache': True, 'vocab_size': 257152}, 'freeze_llm_backbone': False, 'freeze_vision_backbone': False, 'pretrained_name_or_path': './checkpoints/pi05_libero/model.safetensors', 'name_mapping': {'llm_backbone': 'paligemma_with_expert.paligemma.model.language_model', 'vision_backbone.vision': 'paligemma_with_expert.paligemma.model.vision_tower', 'projector.projector': 'paligemma_with_expert.paligemma.model.multi_modal_projector.linear', 'llm_expert': 'paligemma_with_expert.gemma_expert.model', 'time_mlp_in.projector': 'time_mlp_in', 'time_mlp_out.projector': 'time_mlp_out', 'action_in_proj.projector': 'action_in_proj', 'action_out_proj.projector': 'action_out_proj', 'llm_backbone.embed_tokens': 'paligemma_with_expert.paligemma.lm_head'}}, 'train_dataloader': {'per_device_batch_size': 8, 'per_device_num_workers': 4, 'dataset': {'type': 'DistributedRepeatingDataset', 'name_mappings': {'observation.state': ['proprio'], 'action': ['action']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_10_no_noops', 'datasets': {'type': 'ParquetDataset', 'data_root_path': './datasets/libero_10_no_noops_lerobotv2.1', 'transforms': [{'type': 'ProcessParquetInputs', 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats', 'action_masks'], 'video_keys': ['observation.images.image', 'observation.images.wrist_image'], 'name_mappings': {'observation.state': ['states'], 'actions': ['actions']}}, {'type': 'ParquetPrompter', 'use_conversation': False}, {'type': 'ProcessPrompts', 'tokenizer': {'type': 'PaligemmaTokenizer'}}, {'type': 'ResizeImages', 'height': 224, 'width': 224}, {'type': 'NormalizeImages', 'means': [[123.515625, 116.04492188, 103.59375], [123.515625, 116.04492188, 103.59375]], 'stds': [[58.27148438, 57.02636719, 57.27539062], [58.27148438, 57.02636719, 57.27539062]]}, {'type': 'NormalizeStatesAndActions', 'action_dim': 32, 'state_dim': 32, 'state_key': 'proprio', 'action_key': 'action', 'norm_type': 'mean_std'}], 'action_window_size': 10, 'action_key': 'action', 'use_delta': False, 'statistic_name': 'libero_10_no_noops', 'window_start_idx': 0}}}, 'runner': {'type': 'FSDPTrainRunner', 'max_epochs': 18, 'learning_rate': 5e-05, 'weight_decay': 0.0, 'max_grad_norm': 1.0, 'collator': {'type': 'DictCollator', 'keys': ['states', 'observation.eepose', 'timestamp', 'images', 'img_masks', 'lang_tokens', 'lang_masks', 'actions', 'action_masks'], 'meta_keys': ['task_description', 'prompt', 'info', 'stats']}, 'sampler': None, 'tokenizer': {'type': 'PaligemmaTokenizer'}, 'metric': {'type': 'VLAMetric', 'active_trackers': ('jsonl', 'wandb'), 'run_dir': './work_dirs/pi05_paligemma_libero_10_full_finetune_bs64', 'grad_accumulation_steps': 1, 'window_size': 1, 'hparams': Config (path: configs/pi05/pi05_paligemma_libero_10_full_finetune.py): {...}, 'run_id': 'pi05_paligemma_libero_10_full_finetune_2026_03_12_06_33_02'}, 'lr_scheduler_type': 'linear-warmup+cosine-decay', 'warmup_ratio': 0.03, 'enable_gradient_checkpointing': True, 'enable_mixed_precision_training': True, 'mixed_precision_dtype': 'bf16', 'change_key_name': False, 'max_steps': None, 'max_keep_ckpts': 1, 'cfg': Config (path: configs/pi05/pi05_paligemma_libero_10_full_finetune.py): {...}, 'args': Namespace(config='configs/pi05/pi05_paligemma_libero_10_full_finetune.py', work_dir='./work_dirs/pi05_paligemma_libero_10_full_finetune_bs64', cfg_options={'train_dataloader.per_device_batch_size': 8, 'runner.max_epochs': 18, 'runner.max_steps': None, 'runner.max_keep_ckpts': 1}, eval_after_train=True, resume_from=None)}, 'eval': {'type': 'LiberoEvalRunner', 'task_suite_name': 'libero_10', 'model_family': 'pi0', 'eval_chunk_size': 10, 'resize_size': 224, 'num_trials_per_task': 50, 'num_steps_wait': 10, 'seed': 7, 'dataset': {'type': 'LiberoParquetEvalDataset', 'transforms': [{'type': 'ProcessLiberoEvalInputs', 'img_keys': ['agentview_image', 'robot0_eye_in_hand_image']}, {'type': 'TransformImage', 'image_resize_strategy': 'resize-naive', 'input_sizes': [[3, 224, 224], [3, 224, 224]], 'means': [[123.515625, 116.04492188, 103.59375], [123.515625, 116.04492188, 103.59375]], 'stds': [[58.27148438, 57.02636719, 57.27539062], [58.27148438, 57.02636719, 57.27539062]]}, {'type': 'LiberoPromptFromInputs', 'use_conversation': False, 'tokenizer': {'type': 'PaligemmaTokenizer'}}, {'type': 'LiberoProprioFromInputs', 'norm_type': 'mean_std', 'pos_key': 'robot0_eef_pos', 'quat_key': 'robot0_eef_quat', 'gripper_key': 'robot0_gripper_qpos', 'state_dim': 32, 'out_key': 'states'}]}, 'denormalize_action': {'type': 'DenormalizeLiberoAction', 'norm_type': 'mean_std', 'action_dim': 7}}}, 'run_id': 'pi05_paligemma_libero_10_full_finetune_2026_03_12_06_33_02'}, 'lr_scheduler_type': 'linear-warmup+cosine-decay', 'warmup_ratio': 0.03, 'enable_gradient_checkpointing': True, 'enable_mixed_precision_training': True, 'mixed_precision_dtype': 'bf16', 'change_key_name': False, 'max_steps': None, 'max_keep_ckpts': 1, 'cfg': Config (path: configs/pi05/pi05_paligemma_libero_10_full_finetune.py): {'model': {'type': 'PI05FlowMatching', 'llm_backbone': {'type': 'ConditionGemmaModel', 'adarms_cond_dim': None, 'attention_bias': False, 'attention_dropout': 0.0, 'bos_token_id': 2, 'eos_token_id': 1, 'head_dim': 256, 'hidden_act': 'gelu_pytorch_tanh', 'hidden_activation': 'gelu_pytorch_tanh', 'hidden_size': 2048, 'initializer_range': 0.02, 'intermediate_size': 16384, 'max_position_embeddings': 8192, 'model_type': 'gemma', 'num_attention_heads': 8, 'num_hidden_layers': 18, 'num_key_value_heads': 1, 'rms_norm_eps': 1e-06, 'rope_theta': 10000.0, 'torch_dtype': 'float32', 'use_cache': True, 'vocab_size': 257152}, 'vision_backbone': {'type': 'SigLIPViTBackbone', 'vision_backbone_id': 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'time_mlp_in.projector': 'time_mlp_in', 'time_mlp_out.projector': 'time_mlp_out', 'action_in_proj.projector': 'action_in_proj', 'action_out_proj.projector': 'action_out_proj', 'llm_backbone.embed_tokens': 'paligemma_with_expert.paligemma.lm_head'}}, 'train_dataloader': {'per_device_batch_size': 8, 'per_device_num_workers': 4, 'dataset': {'type': 'DistributedRepeatingDataset', 'name_mappings': {'observation.state': ['proprio'], 'action': ['action']}, 'statistic_keys': ['observation.state', 'timestamp', 'action'], 'statistic_name': 'libero_10_no_noops', 'datasets': {'type': 'ParquetDataset', 'data_root_path': './datasets/libero_10_no_noops_lerobotv2.1', 'transforms': [{'type': 'ProcessParquetInputs', 'parquet_keys': ['observation.state', 'timestamp', 'actions', 'info', 'stats', 'action_masks'], 'video_keys': ['observation.images.image', 'observation.images.wrist_image'], 'name_mappings': {'observation.state': ['states'], 'actions': ['actions']}}, {'type': 'ParquetPrompter', 'use_conversation': False}, {'type': 'ProcessPrompts', 'tokenizer': {'type': 'PaligemmaTokenizer'}}, {'type': 'ResizeImages', 'height': 224, 'width': 224}, {'type': 'NormalizeImages', 'means': [[123.515625, 116.04492188, 103.59375], [123.515625, 116.04492188, 103.59375]], 'stds': [[58.27148438, 57.02636719, 57.27539062], [58.27148438, 57.02636719, 57.27539062]]}, {'type': 'NormalizeStatesAndActions', 'action_dim': 32, 'state_dim': 32, 'state_key': 'proprio', 'action_key': 'action', 'norm_type': 'mean_std'}], 'action_window_size': 10, 'action_key': 'action', 'use_delta': False, 'statistic_name': 'libero_10_no_noops', 'window_start_idx': 0}}}, 'runner': {'type': 'FSDPTrainRunner', 'max_epochs': 18, 'learning_rate': 5e-05, 'weight_decay': 0.0, 'max_grad_norm': 1.0, 'collator': {'type': 'DictCollator', 'keys': ['states', 'observation.eepose', 'timestamp', 'images', 'img_masks', 'lang_tokens', 'lang_masks', 'actions', 'action_masks'], 'meta_keys': ['task_description', 'prompt', 'info', 'stats']}, 'sampler': None, 'tokenizer': {'type': 'PaligemmaTokenizer'}, 'metric': {'type': 'VLAMetric', 'active_trackers': ('jsonl', 'wandb'), 'run_dir': './work_dirs/pi05_paligemma_libero_10_full_finetune_bs64', 'grad_accumulation_steps': 1, 'window_size': 1, 'hparams': Config (path: configs/pi05/pi05_paligemma_libero_10_full_finetune.py): {...}, 'run_id': 'pi05_paligemma_libero_10_full_finetune_2026_03_12_06_33_02'}, 'lr_scheduler_type': 'linear-warmup+cosine-decay', 'warmup_ratio': 0.03, 'enable_gradient_checkpointing': True, 'enable_mixed_precision_training': True, 'mixed_precision_dtype': 'bf16', 'change_key_name': False, 'max_steps': None, 'max_keep_ckpts': 1, 'cfg': Config (path: configs/pi05/pi05_paligemma_libero_10_full_finetune.py): {...}, 'args': Namespace(config='configs/pi05/pi05_paligemma_libero_10_full_finetune.py', work_dir='./work_dirs/pi05_paligemma_libero_10_full_finetune_bs64', cfg_options={'train_dataloader.per_device_batch_size': 8, 'runner.max_epochs': 18, 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