{
  "declared_at_unix": 1791107678.8198364,
  "base": "openai/whisper-small",
  "base_revision": "973afd24965f72e36ca33b3055d56a652f456b4d",
  "terms": 115,
  "steps_per_trial": 150,
  "selection": "lowest word error on 288 paired synthetic held-out examples, all 115 terms, before real-speech evaluation",
  "max_wer_regression_percentage_points": 2,
  "min_net_supported_term_window_gain": 3,
  "no_new_repetition_segments": true,
  "datasets": {
    "tera": "b10cab8a886736887ca9dc9737b750aff852aad273de501bb39e35cc6b655ba1",
    "silero": "ae91110b163a8040e2cb19ce0947d97b9b042ce34b1ef60a3605b292352926ea",
    "mixed": "6329a27fee27158613f694206ceca03bc0f806486d4d7bec1cb1eaceccd98e4c"
  },
  "reference": "independent Whisper medium; machine-only",
  "test_audio_in_training": false,
  "recommendation": "maximize supported term matches within the two-pp WER and repetition gates; talk and transfer WER are tie breakers",
  "rule_updated_before_lora_inference_at": 1791110163.112651,
  "ordinary_speech_max_wer_regression_percentage_points": 2,
  "ordinary_speech_rule": "15s windows without any target term in medium reference; machine-only and sensitive to word alignment",
  "ordinary_rule_declared_before_lora_test_inference_at": 1791111135.0775552
}