Instructions to use Alkatt/LAVLA_VI_Async_Test_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Alkatt/LAVLA_VI_Async_Test_01 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
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| "dataset": { | |
| "repo_id": "Alkatt/so_101_WhiteBlackCubeToBowl_v2", | |
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| "video_backend": "torchcodec", | |
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| "policy": { | |
| "type": "lavla", | |
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| "chunk_size": 50, | |
| "max_action_dim": 6, | |
| "s1_freeze_vision_encoder": true, | |
| "s1_image_resolution": [ | |
| 256, | |
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| "s1_mlp_dim": 2048, | |
| "s1_embedding_dim": 1024, | |
| "s1_num_attention_heads": 8, | |
| "s1_num_layers": 8, | |
| "s1_flow_integration_steps": 10, | |
| "s1_efficient_net": "google/efficientnet-b0", | |
| "s1_add_action_pos_embeddings": true, | |
| "s2_vlm_model": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct", | |
| "s2_freeze_vlm": true, | |
| "optimizer_lr": 1e-05, | |
| "optimizer_weight_decay": 1e-06 | |
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| "output_dir": "outputs/train/LAVLA_VI_Async_Test_01", | |
| "job_name": "LAVLA_VI_Async_Test_01", | |
| "resume": false, | |
| "seed": 1000, | |
| "cudnn_deterministic": false, | |
| "num_workers": 4, | |
| "batch_size": 20, | |
| "steps": 10, | |
| "eval_freq": 20000, | |
| "log_freq": 200, | |
| "tolerance_s": 0.0001, | |
| "save_checkpoint": true, | |
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| "use_policy_training_preset": true, | |
| "optimizer": { | |
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| "lr": 1e-05, | |
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| "grad_clip_norm": 10.0, | |
| "betas": [ | |
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| "eps": 1e-08 | |
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| "run_id": "3o3hscjs", | |
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