Add files using upload-large-folder tool
Browse files- checkpoints/steps_30000_model.safetensors +3 -0
- config.full.yaml +64 -0
- config.yaml +43 -0
- summary.jsonl +1 -0
checkpoints/steps_30000_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6716ac2a700554e32edd37354a4fafdb0fc4fc0433e825900bd9bf8ed99d36a9
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size 9653648952
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config.full.yaml
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run_id: stage1_full_4gpu
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run_root_dir: /workspace/tingting/3dvla-checkpoints
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seed: 42
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wandb_entity: tingtingdu06-uw-madison
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wandb_project: 3dvlm
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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: QwenFast
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qwenvl:
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base_vlm: Qwen/Qwen3-VL-4B-Instruct
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attn_implementation: flash_attention_2
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action_model:
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action_model_type: FAST
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action_dim: 7
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future_action_window_size: 15
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past_action_window_size: 0
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action_horizon: 16
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reduce_in_full_precision: true
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datasets:
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vlm_data:
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dataset_py: vlm_datasets_3d
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dataset_use: materialized_mixture
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annotation_path: /workspace/tingting/3dvla-data/sft/materialized/full_tokcal.jsonl
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model_type: qwen3vl
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model_max_length: 8192
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max_pixels: 1254400
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min_pixels: 784
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video_min_pixels: 784
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video_max_pixels: 401408
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video_min_frames: 4
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video_max_frames: 32
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video_fps: 1
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data_flatten: false
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per_device_batch_size: 2
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num_workers: 4
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trainer:
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max_train_steps: 125000
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num_warmup_steps: 2000
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save_interval: 30000
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eval_interval: 1000000000
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logging_frequency: 10
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learning_rate:
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base: 1.0e-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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freeze_modules: ''
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loss_scale:
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vlm: 1.0
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max_grad_norm: 1.0
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weight_decay: 0.0
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gradient_clipping: 1.0
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gradient_accumulation_steps: 1
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save_format: safetensors
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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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config_yaml: /workspace/tingting/3dvla-stage0/train/stage1.yaml
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output_dir: /workspace/tingting/3dvla-checkpoints/stage1_full_4gpu
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config.yaml
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datasets:
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vlm_data:
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dataset_py: vlm_datasets_3d
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dataset_use: materialized_mixture
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model_max_length: 8192
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num_workers: 4
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per_device_batch_size: 2
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framework:
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action_model:
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action_dim: 7
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action_horizon: 16
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name: QwenFast
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qwenvl:
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attn_implementation: flash_attention_2
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base_vlm: Qwen/Qwen3-VL-4B-Instruct
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output_dir: /workspace/tingting/3dvla-checkpoints/stage1_full_4gpu
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run_id: stage1_full_4gpu
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run_root_dir: /workspace/tingting/3dvla-checkpoints
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seed: 42
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trainer:
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eval_interval: 1000000000
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freeze_modules: ''
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gradient_clipping: 1.0
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learning_rate:
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base: 1.0e-05
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logging_frequency: 10
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loss_scale:
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vlm: 1.0
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lr_scheduler_type: cosine_with_min_lr
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max_train_steps: 125000
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num_warmup_steps: 2000
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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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save_format: safetensors
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save_interval: 30000
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scheduler_specific_kwargs:
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min_lr: 1.0e-06
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wandb_entity: tingtingdu06-uw-madison
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wandb_project: 3dvlm
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summary.jsonl
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{"steps": 30000}
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