rejection_sampling_v2/best_of_16/Base/metadata.json

{
  "cell": "Base_t1",
  "method": "best_of_16",
  "model": "UCL-CSSB/PlasmidGPT",
  "model_label": "Base",
  "timestamp_utc": "2026-05-01T09:17:45.239470Z",
  "sampling_params": {
    "max_tokens": 256,
    "temperature": 1.0,
    "top_p": 0.9,
    "stop_token_ids": [
      2
    ],
    "seed": 1302987059
  },
  "prompts": [
    "ATG",
    "<cfg.default_query: GFP cassette, 880 bp>"
  ],
  "group_size": 16,
  "target_per_prompt": 500,
  "n_candidates": 16000,
  "n_selected": 1000,
  "gen_time_sec": 172.5,
  "mean_reward_selected": 0.5953,
  "mean_reward_all": 0.2373,
  "sha256_outputs": "93e620f4dd7179ab68f485fb2f05f8f44e7e28e1bc7a3b8d2cf2edab695cf97b",
  "sha256_full_column": "cff17a83e7b323e2f0a83ce75303f816e2eb07d7e849fa92268188c23d8898d1",
  "sha256_v1_outputs": "9dc5e7aab90a15ca3b41c3a1aa56adddcfc997f7eaf6c661a3a67eae5c63d313",
  "strict_qc_analysis2": {
    "n_sequences": 1000,
    "n_passed": 349,
    "pass_rate_pct": 34.9,
    "sha256_qc_passed": "bd4a7b757438e6cfb30fa6866914f9b05f2d5ea23229113b5b096a74a8ccbcab",
    "sha256_qc_summary": "553948eac03660bbaee984ab581f1b7f81e2c1f4c54195337ae03919ae6d6569",
    "thresholds": {
      "ori_low_id": 85.0,
      "ori_low_cov": 80.0,
      "amr_low_id": 85.0,
      "amr_low_cov": 80.0,
      "ori_strict_id": 99.0,
      "ori_strict_cov": 99.0,
      "amr_strict_id": 100.0,
      "amr_strict_cov": 100.0,
      "repeat_max_len": 50
    },
    "pipeline": "analysis2: qc_oriv_arg2 + repeats2 + filter_qc_two_stage2",
    "regenerated_utc": "2026-05-01T09:52:38.521007Z"
  }
}