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vf_stackblocks_recap_unaligned_frozen_vision_hl_v1 – AI Model by lilkm | AlphaNeural AI

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lilkm/
vf_stackblocks_recap_unaligned_frozen_vision_hl_v1

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distributional_value_function

lilkm/stackblocks_recap_all_for_vf_v3

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Reward Model Card for distributional_value_function

Reward model type not recognized — please update this template.

This reward model has been trained and pushed to the Hub using LeRobot. See the full documentation at LeRobot Docs.

How to Get Started with the Reward Model

Train from scratch

bash

lerobot-train \
  --dataset.repo_id=${HF_USER}/<dataset> \
  --reward_model.type=distributional_value_function \
  --output_dir=outputs/train/<desired_reward_model_repo_id> \
  --job_name=lerobot_reward_training \
  --reward_model.device=cuda \
  --reward_model.repo_id=${HF_USER}/<desired_reward_model_repo_id> \
  --wandb.enable=true

Writes checkpoints to outputs/train/<desired_reward_model_repo_id>/checkpoints/.

Load the reward model in Python

python

from lerobot.rewards import make_reward_model

reward_model = make_reward_model(pretrained_path="<hf_user>/<reward_model_repo_id>")
reward = reward_model.compute_reward(batch)

Model Details

License: apache-2.0