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Upload policy weights, train config and readme

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  1. README.md +62 -0
  2. config.json +1 -1
  3. model.safetensors +2 -2
  4. train_config.json +5 -5
README.md ADDED
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+ ---
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+ datasets: maximellerbach/pickandplace
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+ library_name: lerobot
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+ license: apache-2.0
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+ model_name: wam
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+ pipeline_tag: robotics
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+ tags:
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+ - lerobot
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+ - wam
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+ - robotics
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+ ---
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+
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+ # Model Card for wam
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+ _Model type not recognized — please update this template._
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+
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+
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+ This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot).
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+ See the full documentation at [LeRobot Docs](https://huggingface.co/docs/lerobot/index).
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+
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+ ---
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+
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+ ## How to Get Started with the Model
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+
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+ For a complete walkthrough, see the [training guide](https://huggingface.co/docs/lerobot/il_robots#train-a-policy).
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+ Below is the short version on how to train and run inference/eval:
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+
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+ ### Train from scratch
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+
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+ ```bash
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+ lerobot-train \
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+ --dataset.repo_id=${HF_USER}/<dataset> \
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+ --policy.type=act \
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+ --output_dir=outputs/train/<desired_policy_repo_id> \
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+ --job_name=lerobot_training \
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+ --policy.device=cuda \
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+ --policy.repo_id=${HF_USER}/<desired_policy_repo_id>
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+ --wandb.enable=true
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+ ```
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+
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+ _Writes checkpoints to `outputs/train/<desired_policy_repo_id>/checkpoints/`._
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+
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+ ### Evaluate the policy/run inference
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+
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+ ```bash
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+ lerobot-record \
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+ --robot.type=so100_follower \
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+ --dataset.repo_id=<hf_user>/eval_<dataset> \
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+ --policy.path=<hf_user>/<desired_policy_repo_id> \
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+ --episodes=10
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+ ```
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+
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+ Prefix the dataset repo with **eval\_** and supply `--policy.path` pointing to a local or hub checkpoint.
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+
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+ ---
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+
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+ ## Model Details
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+
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+ - **License:** apache-2.0
config.json CHANGED
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+ "pretrained_path": "outputs/train/wam_pickandplace/checkpoints/last/pretrained_model",
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  "time_between_frames": 10,
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  "lag_offset": 3,
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  "image_size": [
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train_config.json CHANGED
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  "image_size": [
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  },
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  "output_dir": "outputs/train/wam_pickandplace",
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  "job_name": "wam",
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- "resume": false,
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  "seed": 1000,
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  "cudnn_deterministic": false,
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  "num_workers": 4,
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  "batch_size": 4,
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  "eval_freq": 20000,
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  "rabc_epsilon": 1e-06,
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  "rabc_head_mode": "sparse",
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  "rename_map": {},
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- "checkpoint_path": null
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  }
 
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  "image_size": [
 
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  "output_dir": "outputs/train/wam_pickandplace",
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  "job_name": "wam",
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  "seed": 1000,
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  "cudnn_deterministic": false,
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  "num_workers": 4,
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  "tolerance_s": 0.0001,
 
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  "rabc_epsilon": 1e-06,
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  "rabc_head_mode": "sparse",
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  "rename_map": {},
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+ "checkpoint_path": "outputs/train/wam_pickandplace/checkpoints/last"
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  }