seed: 42 wandb_entity: null wandb_project: Mem-0 is_debug: false execution_module: qwen_vl: model_path: ./checkpoints/Qwen3-VL-2B-Instruct system_prompt: null memory_bank: window_size: 30 initial_anchor_size: 1 num_heads: 8 dropout: 0.1 memory_accumulation: 8 action_model: action_model_type: DiT-B hidden_size: 2048 add_pos_embed: true max_seq_len: 1024 action_dim: 16 state_dim: 16 action_horizon: 30 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: 8 diffusion_model_cfg: cross_attention_dim: 2048 dropout: 0.2 final_dropout: true interleave_self_attention: true norm_type: ada_norm num_layers: 16 output_dim: 2048 positional_embeddings: null classifier: hidden_sizes: - 6144 - 2048 - 512 dropout: 0.1 pos_weight: 10.0 focal_gamma: 1.0 threshold: 0.5 loss_weights: lambda_action: 1.0 lambda_classifier: 0.2 dataloader: type: rmbench_random_episode num_workers: 2 shuffle_episodes: true seed: 42 infinite: true norm_stats_path: ./assets/m1_mix/norm_stats.json trainer: wandb_run_name: mem0_exec_m1_mix resume: null batch_size: 56 train_steps: 50000 eval_action_interval: 100 log_interval: 10 classifier_metrics_window_size: 20 enable_wandb: true checkpoint_dir: /mnt/data/limingleyang/rmbench_assets/checkpoints/m1_mix save_every_steps: 1000 save_final: true scheduler: cosine warmup_ratio: 0.05 grad_clip_norm: 2.5 weight_decay: 0.005 learning_rate: base: 1.0e-05 qwen_model: 1.0e-05 action_model: 0.0001 classifier: 0.0001 min_lr: base: 1.0e-06 qwen_model: 1.0e-06 action_model: 5.0e-06 classifier: 5.0e-06 freeze_modules: '' download_videos: false vla_dataset: RMBench: repo_id: /mnt/data/limingleyang/rmbench_assets/lerobot_datasets/m1_mix features_to_load: - observation.state - action - subtask - subtask_end - episode_id - observation.image.head_camera