eval_results.json

{
  "checkpoint": "/home/sky/outputs/train/diffusion_chess_300/checkpoints/last/pretrained_model",
  "dataset_repo": "AnonymousMouse404/chess_300",
  "n_eval_episodes": 20,
  "eval_episodes": [
    0,
    20,
    40,
    60,
    80,
    100,
    120,
    140,
    160,
    180,
    200,
    220,
    240,
    260,
    280,
    300,
    320,
    340,
    360,
    380
  ],
  "n_eval_batches": 214,
  "n_eval_frames": 6819,
  "diffusion_loss": 0.0041590746192337194,
  "action_mse": 11.68516247761228,
  "action_l1": 1.2478218859618562,
  "note": "Offline action-prediction metrics on dataset frames (not closed-loop task success). Evaluated within the trained episode prefix, so this reflects training-set fit rather than held-out generalization. action_mse / action_l1 are in the raw action space (joint positions, degrees)."
}