seed: 42 trackers: - jsonl - wandb wandb_entity: zbdz wandb_project: vla_jiang is_debug: false framework: name: QwenFM qwenvl: base_vlm: /root/Unifolm-VLM-0 attn_implementation: flash_attention_2 vl_hidden_dim: 2048 model_type: qwen2_5_vl action_model: input_embedding_dim: 1536 hidden_size: 1024 add_pos_embed: true max_seq_len: 1024 action_dim: 7 state_dim: 7 future_action_window_size: 15 action_horizon: 16 past_action_window_size: 0 repeated_diffusion_steps: 8 noise_beta_alpha: 1.5 noise_beta_beta: 1.0 noise_s: 0.999 num_timestep_buckets: 1000 num_inference_timesteps: 4 num_target_vision_tokens: 32 diffusion_model_cfg: cross_attention_dim: 2048 attention_head_dim: 48 num_attention_heads: 32 dropout: 0.2 final_dropout: true interleave_self_attention: true norm_type: ada_norm num_layers: 16 output_dim: 1024 positional_embeddings: null use_relative_action: false framework_py: unifolm_vla datasets: vla_data: data_root_dir: /DATA/disk0/rlds_format_datasets/g1 data_mix: Unitree_all_task per_device_batch_size: 16 load_all_data_for_training: true image_size: - 224 - 224 window_size: 1 trainer: epochs: 100 max_train_steps: 300000 num_warmup_steps: 5000 save_interval: 10000 eval_interval: 500 learning_rate: base: 4.0e-05 qwen_vl_interface: 1.0e-05 action_model: 0.0004 lr_scheduler_type: cosine_with_min_lr scheduler_specific_kwargs: min_lr: 5.0e-07 freeze_modules: null loss_scale: vla: 1.0 vlm: 0.1 repeated_diffusion_steps: 4 max_grad_norm: 1.0 warmup_ratio: 0.1 weight_decay: 0.0 logging_frequency: 500 gradient_clipping: 1.0 gradient_accumulation_steps: 1 optimizer: name: AdamW betas: - 0.9 - 0.95 eps: 1.0e-08 weight_decay: 1.0e-08 is_resume: false resume_epoch: null resume_step: null enable_gradient_checkpointing: true enable_mixed_precision_training: true shuffle_buffer_size: 10000 use_wrist_image: true use_proprio: true action_queries: 0