{
  "language": "none",
  "license": "mit",
  "tags": [
    "diffusion-policy",
    "lerobot",
    "so101",
    "safetensors",
    "imitation-learning",
    "robotics"
  ],
  "library_name": "lerobot",
  "pipeline_tag": "robotics",
  "model_name": "diffussion_so101-block-horizontal-layComb12",
  "model_type": "diffusion",
  "datasets": [
    "local:so101-block-horizontal-layComb12"
  ],
  "trained_steps": 25000,
  "training_framework": "LeRobot",
  "training_task": "offline imitation learning",
  "inference": {
    "input_format": "6-step image sequence with 5 camera views per step, each cropped to 84x84. Total input: 30 image tensors.",
    "output_format": "8-step action trajectory; each action is a 6-dimensional vector for 6 servo motors"
  },
  "eval": {
    "loss_metric": "MSE",
    "final_loss": 0.013
  }
}