{
  "experiment_id": "librispeech-tiny-en-beam-v1",
  "dataset": "LibriSpeech test-clean",
  "dataset_url": "https://www.openslr.org/resources/12/test-clean.tar.gz",
  "dataset_sha256": "39fde525e59672dc6d1551919b1478f724438a95aa55f874b576be21967e6c23",
  "dataset_license": "CC BY 4.0",
  "selection": "One utterance per speaker: minimum SHA256 of UTF-8 string nate-asr-v1:<utterance_id>, speakers sorted numerically. Fixed before inference; no output-based selection.",
  "model": "Systran/faster-whisper-tiny.en",
  "model_revision": "0d3d19a32d3338f10357c0889762bd8d64bbdeba",
  "device": "cpu",
  "compute_type": "int8",
  "cpu_threads": 4,
  "num_workers": 1,
  "baseline_beam_size": 1,
  "candidate_beam_size": 5,
  "transcribe": {
    "language": "en",
    "task": "transcribe",
    "temperature": 0.0,
    "best_of": 1,
    "patience": 1.0,
    "length_penalty": 1.0,
    "condition_on_previous_text": false,
    "vad_filter": false,
    "word_timestamps": false,
    "without_timestamps": true,
    "initial_prompt": null,
    "compression_ratio_threshold": null,
    "log_prob_threshold": null,
    "no_speech_threshold": null
  },
  "timing": "Single run, alternating beam order by sample index; wall time includes decoding and segment consumption, excludes model loading. Not a benchmark."
}