| datasets: | |
| vla_data: | |
| data_mix: libero_all | |
| data_root_dir: /home/jye624/Datasets/LIBERO | |
| dataset_py: lerobot_datasets | |
| per_device_batch_size: 8 | |
| sequential_step_sampling: false | |
| video_backend: torchvision_av | |
| framework: | |
| action_model: | |
| action_dim: 7 | |
| action_hidden_dim: 3072 | |
| action_horizon: 8 | |
| action_model_type: MLP | |
| future_action_window_size: 7 | |
| past_action_window_size: 0 | |
| state_dim: 7 | |
| name: WanOFT | |
| obs_image_size: null | |
| qwenvl: | |
| attn_implementation: sdpa | |
| base_vlm: /home/jye624/Models/Pretrained_models/Qwen3-VL-4B-Instruct | |
| world_model: | |
| base_wm: ./playground/Pretrained_models/Wan-AI/Wan2.2-TI2V-5B-Diffusers | |
| extract_layers: | |
| - -1 | |
| is_debug: false | |
| output_dir: ./results/Checkpoints/0415_libero4in1_WanOFT | |
| run_id: 0415_libero4in1_WanOFT | |
| run_root_dir: ./results/Checkpoints | |
| seed: 42 | |
| trainer: | |
| eval_interval: 100 | |
| freeze_modules: true | |
| gradient_accumulation_steps: 1 | |
| gradient_clipping: 1.0 | |
| is_resume: false | |
| learning_rate: | |
| action_model: 0.0001 | |
| base: 2.5e-05 | |
| qwen_vl_interface: 1.0e-05 | |
| logging_frequency: 100 | |
| lr_scheduler_type: cosine_with_min_lr | |
| max_train_steps: 800000 | |
| num_warmup_steps: 5000 | |
| optimizer: | |
| betas: | |
| - 0.9 | |
| - 0.95 | |
| eps: 1.0e-08 | |
| weight_decay: 1.0e-08 | |
| save_interval: 10000 | |
| scheduler_specific_kwargs: | |
| min_lr: 1.0e-06 | |
| vla_data: | |
| video_backend: torchvision_av | |
| wandb_entity: jinhuiye | |
| wandb_project: starVLA_Libero | |