Delete merging-checkpoints/checkpoints/task33_merging
Browse files
merging-checkpoints/checkpoints/task33_merging/config.yaml
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datasets:
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vla_data:
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CoT_prompt: Your task is {instruction}. To identify the key objects for your task.
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Locate their bounding boxes in [x1,y1,x2,y2] format.
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data_mix: libero_90_task_33
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data_root_dir: playground/Datasets/LEROBOT_LIBERO_DATA
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dataset_py: lerobot_datasets
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per_device_batch_size: 1
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sequential_step_sampling: false
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video_backend: torchvision_av
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framework:
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action_model:
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action_dim: 7
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future_action_window_size: 7
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past_action_window_size: 0
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name: QwenFast
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qwenvl:
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base_vlm: playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action
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output_dir: ./results/Checkpoints/finetune_lora_task33_2000step
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run_id: finetune_lora_task33_2000step
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run_root_dir: ./results/Checkpoints
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seed: 42
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trainer:
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eval_interval: 100
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freeze_modules: ''
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gradient_accumulation_steps: 1
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gradient_clipping: 1.0
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is_resume: true
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learning_rate:
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action_model: 0.0001
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base: 2.5e-05
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qwen_vl_interface: 1.0e-05
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logging_frequency: 100
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lr_scheduler_type: cosine_with_min_lr
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max_train_steps: 2000
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num_warmup_steps: 50
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optimizer:
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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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pretrained_checkpoint: /content/starVLA_r/results/Checkpoints/Qwen2.5-VL-FAST-LIBERO-4in1/checkpoints/steps_30000_pytorch_model.pt
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save_interval: 500
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scheduler_specific_kwargs:
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min_lr: 1.0e-06
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use_lora: true
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wandb_entity: michellelin9102-usc
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wandb_project: starVLA_Libero
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merging-checkpoints/checkpoints/task33_merging/dataset_statistics.json
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true,
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merging-checkpoints/checkpoints/task33_merging/full_model_from_lora/pytorch_model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c158e4d7cb911d0e7965eb57ff2d7a1704de889c16b0e368cb3708d8b499800
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size 8146424955
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