Upload RFM model
Browse files- config.yaml +101 -0
config.yaml
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data:
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dataloader_num_workers: 0
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dataloader_pin_memory: false
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dataset_preference_ratio: 0.7
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dataset_type: default
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eval_datasets:
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- abraranwar/libero_rfm
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- ykorkmaz/libero_failure_rfm
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eval_subset_size: 500
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eval_subsets:
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- - libero256_10
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- - libero_10_failure
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force_reprocess: false
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fps: 10
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max_frames: 16
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max_frames_for_preprocessing: 64
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model_type: default
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num_bins: 3
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num_proc: 1
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preference_ratio: 1.0
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preference_strategy_ratio:
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- 0.8
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- 0.1
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- 0.1
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- 0.0
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progress_ratio: 0.5
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resized_height: 128
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resized_width: 128
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rewind_lengths: null
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samples_per_trajectory: 1
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seed: 42
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shuffle: true
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train_datasets:
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- abraranwar/libero_rfm
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- ykorkmaz/libero_failure_rfm
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train_subsets:
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- - libero256_90
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- - libero_90_failure
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video_frame_sampling: uniform
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debug: false
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logging:
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print_trainable_parameters: true
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save_model: true
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save_processor: true
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use_wandb: true
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wandb_entity: clvr
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wandb_project: rfm
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wandb_run_name: rfm
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mode: train
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model:
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base_model_id: Qwen/Qwen2.5-VL-3B-Instruct
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torch_dtype: bfloat16
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train_language_model: false
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train_preference_head: true
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train_progress_head: true
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train_similarity_head: false
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train_value_head: true
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train_vision_encoder: true
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trust_remote_code: true
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peft:
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bias: none
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lora_alpha: 64
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lora_dropout: 0.05
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r: 32
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target_modules:
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- q_proj
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- k_proj
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- v_proj
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- o_proj
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- gate_proj
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- up_proj
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- down_proj
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use_peft: false
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training:
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beta: 0.1
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bf16: true
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ddp_bucket_cap_mb: 25
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ddp_find_unused_parameters: true
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do_eval: true
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eval_steps: 50
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evaluation_strategy: steps
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fp16: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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learning_rate: 2.0e-05
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logging_steps: 1
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lr_scheduler_type: cosine
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max_seq_length: 1024
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max_steps: 5000
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num_gpus: 2
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num_train_epochs: -1
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output_dir: ./logs/rfm_prefprogress
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per_device_eval_batch_size: 8
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per_device_train_batch_size: 8
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prediction_loss_only: true
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remove_unused_columns: false
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resume_from_checkpoint: null
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save_steps: 200
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save_strategy: steps
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warmup_ratio: 0.1
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warmup_steps: 0
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