Upload stacking_cups_20260911_qwenpi_uniform_left_s2_h30_c18_training_rtc_prefix4to8_2gpu_gb32_ft5k config.full.yaml
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models/stacking-cups-20260911-qwenpi-v3-uniform-left-s2-h30-c18-2gpu-gb32-50k-training-rtc-prefix4to8-ft5k-20260912/config.full.yaml
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run_id: stacking_cups_20260911_qwenpi_uniform_left_s2_h30_c18_training_rtc_prefix4to8_2gpu_gb32_ft5k
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run_root_dir: /scratch/wangpc/DiscreteRTCv2/results/Checkpoints
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seed: 42
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wandb_entity: 401910710-university-of-california-berkeley
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wandb_project: starVLA_piper
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is_debug: false
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version_id: '0.21'
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framework:
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name: QwenPI_v3_UniformBSpline_TrainingRTC
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qwenvl:
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base_vlm: ./playground/Pretrained_models/Qwen3-VL-4B-Instruct
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attn_implementation: flash_attention_2
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vl_hidden_dim: 2560
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num_vl_layers: 36
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action_model:
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action_model_type: TrainingRTC_LayerwiseFM
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action_dim: 7
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state_dim: 7
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action_horizon: 18
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repeated_diffusion_steps: 2
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num_inference_timesteps: 4
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add_pos_embed: true
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max_seq_len: 1024
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num_target_vision_tokens: 32
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noise_beta_alpha: 1.5
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noise_beta_beta: 1.0
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noise_s: 0.999
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num_timestep_buckets: 1000
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diffusion_model_cfg:
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action_dit_hidden_dim: 1024
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dropout: 0.2
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final_dropout: true
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interleave_self_attention: true
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norm_type: ada_norm
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positional_embeddings: null
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attention_head_dim: 64
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num_layers: 36
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input_embedding_dim: 1024
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cross_attention_dim: 1024
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num_attention_heads: 16
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rtc_min_delay_steps: 4
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rtc_max_delay_steps: 8
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rtc_delay_sampling: uniform
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future_action_window_size: 17
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past_action_window_size: 0
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action_representation:
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type: continuous_uniform_bspline
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mode: uniform_left
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action_dim: 7
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frequency_hz: 30.0
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executable_horizon: 30
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num_control_points: 18
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degree: 3
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span_length_steps: 2
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regularization: 0.0001
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end_padding: true
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implementation_version: uniform_left_direct_fit_v1
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rtc_conditioning_space: spline_parameter_rows
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rtc_delay_unit: parameter_rows
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rtc_min_ready_rows: 4
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rtc_max_ready_rows: 8
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datasets:
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vla_data:
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dataset_py: lerobot_datasets
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data_root_dir: ./data
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data_mix: stacking_cups_20260911_30hz_uniform_left_bspline
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controls_dataset_path: ./data/stacking_cups/20260911_UniformBSpline
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include_state: true
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action_type: abs_qpos
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action_mode: abs
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sequential_step_sampling: false
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per_device_batch_size: 16
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load_all_data_for_training: true
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obs_image_size:
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- 224
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- 224
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delete_pause_frame: false
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video_backend: torchvision_av
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num_workers: 2
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persistent_workers: true
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prefetch_factor: 2
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pin_memory: true
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trainer:
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pretrained_checkpoint: ./results/Checkpoints/stacking_cups_20260911_qwenpi_uniform_left_s2_h30_c18_2gpu_gb32_50k/checkpoints/steps_50000_pytorch_model.pt
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strict_pretrained_checkpoint: true
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freeze_modules: qwen_vl_interface
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max_train_steps: 5000
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num_warmup_steps: 125
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save_interval: 5000
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eval_interval: 1000
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repeated_diffusion_steps: 2
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learning_rate:
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base: 1.0e-05
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qwen_vl_interface: 1.0e-06
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action_model: 5.0e-05
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project_layers: 2.0e-05
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lr_scheduler_type: cosine_with_min_lr
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scheduler_specific_kwargs:
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min_lr: 1.0e-06
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loss_scale:
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vla: 1.0
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vlm: 0.0
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max_grad_norm: 1.0
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weight_decay: 0.0
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logging_frequency: 20
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gradient_clipping: 1.0
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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optimizer:
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name: AdamW
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betas:
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- 0.9
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- 0.95
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eps: 1.0e-08
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weight_decay: 1.0e-08
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save_format: pt
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is_resume: false
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config_yaml: /scratch/wangpc/DiscreteRTCv2/examples/realRobots/Piper/train_files/starvla_qwenpi_stacking_cups_20260911_30hz_uniform_left_s2_h30_c18_training_rtc_prefix4to8_2gpu_gb32_ft5k.yaml
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output_dir: /scratch/wangpc/DiscreteRTCv2/results/Checkpoints/stacking_cups_20260911_qwenpi_uniform_left_s2_h30_c18_training_rtc_prefix4to8_2gpu_gb32_ft5k
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