Automatic Speech Recognition
Transformers
Safetensors
English
qwen3_asr
feature-extraction
speech-recognition
asr
english
distillation
looped-transformer
parameter-sharing
qwen3-asr
custom_code
Eval Results (legacy)
Instructions to use oruk/oruk-loop-153M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oruk/oruk-loop-153M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="oruk/oruk-loop-153M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("oruk/oruk-loop-153M", trust_remote_code=True) model = AutoModel.from_pretrained("oruk/oruk-loop-153M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download results/evaluation.json from oruk/oruk-loop-153M: direct link, hf CLI and curl.
- Browser
- Download file 10.1 kB
-
https://huggingface.co/oruk/oruk-loop-153M/resolve/main/results/evaluation.json
- Command line
-
hf download hf://oruk/oruk-loop-153M/results/evaluation.json
-
curl -L -o evaluation.json https://huggingface.co/oruk/oruk-loop-153M/resolve/main/results/evaluation.json
10.1 kB
| { | |
| "model": "oruk/oruk-loop-153M", | |
| "stored_parameters": 153202638, | |
| "parameters_by_part": { | |
| "audio_encoder_loop": 41213952, | |
| "decoder_loop": 67886080, | |
| "token_table": 28932430, | |
| "kept_qwen3_asr_modules": 15170176 | |
| }, | |
| "teacher": { | |
| "model": "Qwen/Qwen3-ASR-1.7B-hf", | |
| "stored_parameters": 2038052480 | |
| }, | |
| "scoring": "Whisper EnglishTextNormalizer on reference and hypothesis; empty / \"ignore time segment in scoring\" references dropped; corpus WER per set; audio >30 s split at the quietest 100 ms frame in the last 5 s before each 30 s limit", | |
| "test_sets": { | |
| "leaderboard": "hf-audio/open-asr-leaderboard (original transcripts)", | |
| "tedlium": "sanchit-gandhi/tedlium-data test" | |
| }, | |
| "evaluation_pipeline": { | |
| "beam4": { | |
| "decoding": "beam search, 4 beams, length_penalty 1.0, bf16", | |
| "sets": { | |
| "ami": { | |
| "wer_pct": 11.222, | |
| "reference_words": 89564, | |
| "utterances": 11653, | |
| "dropped": 990, | |
| "hours": 8.68 | |
| }, | |
| "earnings22": { | |
| "wer_pct": 9.804, | |
| "reference_words": 48899, | |
| "utterances": 2737, | |
| "dropped": 4, | |
| "hours": 5.43 | |
| }, | |
| "gigaspeech": { | |
| "wer_pct": 10.455, | |
| "reference_words": 403656, | |
| "utterances": 19898, | |
| "dropped": 33, | |
| "hours": 35.36 | |
| }, | |
| "ls_clean": { | |
| "wer_pct": 2.399, | |
| "reference_words": 53027, | |
| "utterances": 2620, | |
| "dropped": 0, | |
| "hours": 5.4 | |
| }, | |
| "ls_other": { | |
| "wer_pct": 5.953, | |
| "reference_words": 52882, | |
| "utterances": 2939, | |
| "dropped": 0, | |
| "hours": 5.34 | |
| }, | |
| "spgispeech": { | |
| "wer_pct": 2.476, | |
| "reference_words": 969328, | |
| "utterances": 39341, | |
| "dropped": 0, | |
| "hours": 100.0 | |
| }, | |
| "tedlium": { | |
| "wer_pct": 3.772, | |
| "reference_words": 28207, | |
| "utterances": 1155, | |
| "dropped": 314, | |
| "hours": 3.06 | |
| }, | |
| "voxpopuli": { | |
| "wer_pct": 7.546, | |
| "reference_words": 44079, | |
| "utterances": 1842, | |
| "dropped": 0, | |
| "hours": 4.93 | |
| } | |
| }, | |
| "mean_7_leaderboard_sets": 7.122, | |
| "mean_8_incl_tedlium": 6.703 | |
| }, | |
| "greedy": { | |
| "decoding": "greedy, bf16", | |
| "sets": { | |
| "ami": { | |
| "wer_pct": 11.575, | |
| "reference_words": 89564, | |
| "utterances": 11653, | |
| "dropped": 990, | |
| "hours": 8.68 | |
| }, | |
| "earnings22": { | |
| "wer_pct": 10.289, | |
| "reference_words": 48899, | |
| "utterances": 2737, | |
| "dropped": 4, | |
| "hours": 5.43 | |
| }, | |
| "earnings22_cleaned_aa": { | |
| "wer_pct": 10.916, | |
| "reference_words": 15418, | |
| "utterances": 6, | |
| "dropped": 0, | |
| "hours": 1.92 | |
| }, | |
| "gigaspeech": { | |
| "wer_pct": 10.75, | |
| "reference_words": 403656, | |
| "utterances": 19898, | |
| "dropped": 33, | |
| "hours": 35.36 | |
| }, | |
| "ls_clean": { | |
| "wer_pct": 2.529, | |
| "reference_words": 53027, | |
| "utterances": 2620, | |
| "dropped": 0, | |
| "hours": 5.4 | |
| }, | |
| "ls_other": { | |
| "wer_pct": 6.322, | |
| "reference_words": 52882, | |
| "utterances": 2939, | |
| "dropped": 0, | |
| "hours": 5.34 | |
| }, | |
| "spgispeech": { | |
| "wer_pct": 2.607, | |
| "reference_words": 969328, | |
| "utterances": 39341, | |
| "dropped": 0, | |
| "hours": 100.0 | |
| }, | |
| "tedlium": { | |
| "wer_pct": 3.793, | |
| "reference_words": 28207, | |
| "utterances": 1155, | |
| "dropped": 314, | |
| "hours": 3.06 | |
| }, | |
| "voxpopuli": { | |
| "wer_pct": 7.698, | |
| "reference_words": 44079, | |
| "utterances": 1842, | |
| "dropped": 0, | |
| "hours": 4.93 | |
| }, | |
| "voxpopuli_cleaned_aa": { | |
| "wer_pct": 4.611, | |
| "reference_words": 17784, | |
| "utterances": 628, | |
| "dropped": 0, | |
| "hours": 1.98 | |
| } | |
| }, | |
| "mean_7_leaderboard_sets": 7.396, | |
| "mean_8_incl_tedlium": 6.945 | |
| }, | |
| "note_cleaned_sets": "earnings22_cleaned_aa / voxpopuli_cleaned_aa: ArtificialAnalysis re-transcribed versions of the same test audio (ArtificialAnalysis/Earnings22-Cleaned-AA, hf-audio voxpopuli_cleaned_aa); not part of the leaderboard average" | |
| }, | |
| "out_of_domain_beam4": { | |
| "note": "fleursu = google/fleurs en_us test (647); cvu = Common Voice test from hf-audio/open-asr-leaderboard, fixed random 4000 (seed 20261014); edacc = edinburghcstr/edacc test; peoples = MLCommons/peoples_speech clean test, fixed random 4000 (3,999 scored)", | |
| "sets": { | |
| "ls_clean": { | |
| "wer_pct": 2.399, | |
| "reference_words": 53027, | |
| "utterances": 2620, | |
| "dropped": 0, | |
| "hours": 5.4 | |
| }, | |
| "fleursu": { | |
| "wer_pct": 9.882, | |
| "reference_words": 14279, | |
| "utterances": 647, | |
| "dropped": 0, | |
| "hours": 1.77 | |
| }, | |
| "cvu": { | |
| "wer_pct": 17.148, | |
| "reference_words": 38629, | |
| "utterances": 4000, | |
| "dropped": 0, | |
| "hours": 6.62 | |
| }, | |
| "edacc": { | |
| "wer_pct": 20.158, | |
| "reference_words": 157116, | |
| "utterances": 8537, | |
| "dropped": 752, | |
| "hours": 16.94 | |
| }, | |
| "peoples": { | |
| "wer_pct": 20.154, | |
| "reference_words": 70861, | |
| "utterances": 3999, | |
| "dropped": 1, | |
| "hours": 6.93 | |
| } | |
| } | |
| }, | |
| "frontier_analysis": { | |
| "snapshot": "hf-audio/open_asr_leaderboard English results, fetched 2026-10-14", | |
| "previous_frontier_points": [ | |
| [ | |
| "nvidia/parakeet-tdt_ctc-110m", | |
| 0.11, | |
| 7.977 | |
| ], | |
| [ | |
| "nvidia/canary-180m-flash", | |
| 0.18, | |
| 7.484 | |
| ], | |
| [ | |
| "usefulsensors/moonshine-streaming-medium", | |
| 0.24, | |
| 7.181 | |
| ], | |
| [ | |
| "nvidia/parakeet-tdt-0.6b-v2", | |
| 0.6, | |
| 6.436 | |
| ] | |
| ], | |
| "previous_frontier_at_153M_pct": 7.645, | |
| "gap_at_153M_pct_points": 0.524, | |
| "size_where_previous_frontier_reaches_7.12_B": 0.2587, | |
| "parameter_ratio_at_equal_accuracy": 1.69, | |
| "method": "linear interpolation of 7-set mean WER in log10(size) between neighbouring frontier models", | |
| "note": "gap uses the exact beam-4 mean 7.122" | |
| }, | |
| "release_package_rescore": { | |
| "code": "this repository: AutoModel.from_pretrained(trust_remote_code=True) + model.transcribe, batch 64 (beam: 32), one A100 40GB per job", | |
| "greedy": { | |
| "sets": { | |
| "ami": { | |
| "wer_pct": 11.548, | |
| "reference_words": 89564, | |
| "utterances": 11653, | |
| "dropped": 990, | |
| "hours": 8.68, | |
| "seconds": 308 | |
| }, | |
| "earnings22": { | |
| "wer_pct": 10.27, | |
| "reference_words": 48899, | |
| "utterances": 2737, | |
| "dropped": 4, | |
| "hours": 5.43, | |
| "seconds": 162 | |
| }, | |
| "tedlium": { | |
| "wer_pct": 3.907, | |
| "reference_words": 28207, | |
| "utterances": 1155, | |
| "dropped": 314, | |
| "hours": 3.06, | |
| "seconds": 120 | |
| }, | |
| "ls_clean": { | |
| "wer_pct": 2.542, | |
| "reference_words": 53027, | |
| "utterances": 2620, | |
| "dropped": 0, | |
| "hours": 5.4, | |
| "seconds": 129 | |
| }, | |
| "ls_other": { | |
| "wer_pct": 6.431, | |
| "reference_words": 52882, | |
| "utterances": 2939, | |
| "dropped": 0, | |
| "hours": 5.34, | |
| "seconds": 152 | |
| }, | |
| "voxpopuli": { | |
| "wer_pct": 7.709, | |
| "reference_words": 44079, | |
| "utterances": 1842, | |
| "dropped": 0, | |
| "hours": 4.93, | |
| "seconds": 103 | |
| }, | |
| "gigaspeech": { | |
| "wer_pct": 10.762, | |
| "reference_words": 403656, | |
| "utterances": 19898, | |
| "dropped": 33, | |
| "hours": 35.36, | |
| "seconds": 1021 | |
| }, | |
| "spgispeech": { | |
| "wer_pct": 2.607, | |
| "reference_words": 969328, | |
| "utterances": 39341, | |
| "dropped": 0, | |
| "hours": 100.0, | |
| "seconds": 2221 | |
| } | |
| }, | |
| "mean_7_leaderboard_sets": 7.41, | |
| "mean_8_incl_tedlium": 6.972 | |
| }, | |
| "beam4": { | |
| "sets": { | |
| "ami": { | |
| "wer_pct": 11.224, | |
| "reference_words": 89564, | |
| "utterances": 11653, | |
| "dropped": 990, | |
| "hours": 8.68, | |
| "seconds": 635 | |
| }, | |
| "earnings22": { | |
| "wer_pct": 9.802, | |
| "reference_words": 48899, | |
| "utterances": 2737, | |
| "dropped": 4, | |
| "hours": 5.43, | |
| "seconds": 374 | |
| }, | |
| "tedlium": { | |
| "wer_pct": 3.772, | |
| "reference_words": 28207, | |
| "utterances": 1155, | |
| "dropped": 314, | |
| "hours": 3.06, | |
| "seconds": 238 | |
| }, | |
| "ls_clean": { | |
| "wer_pct": 2.404, | |
| "reference_words": 53027, | |
| "utterances": 2620, | |
| "dropped": 0, | |
| "hours": 5.4, | |
| "seconds": 267 | |
| }, | |
| "ls_other": { | |
| "wer_pct": 5.942, | |
| "reference_words": 52882, | |
| "utterances": 2939, | |
| "dropped": 0, | |
| "hours": 5.34, | |
| "seconds": 293 | |
| }, | |
| "voxpopuli": { | |
| "wer_pct": 7.543, | |
| "reference_words": 44079, | |
| "utterances": 1842, | |
| "dropped": 0, | |
| "hours": 4.93, | |
| "seconds": 222 | |
| }, | |
| "gigaspeech": { | |
| "wer_pct": 10.446, | |
| "reference_words": 403656, | |
| "utterances": 19898, | |
| "dropped": 33, | |
| "hours": 35.36, | |
| "seconds": 2156 | |
| }, | |
| "spgispeech": { | |
| "wer_pct": 2.475, | |
| "reference_words": 969328, | |
| "utterances": 39341, | |
| "dropped": 0, | |
| "hours": 100.0, | |
| "seconds": 4312 | |
| } | |
| }, | |
| "mean_7_leaderboard_sets": 7.119, | |
| "mean_8_incl_tedlium": 6.701 | |
| } | |
| }, | |
| "teacher_on_our_harness": { | |
| "model": "Qwen/Qwen3-ASR-1.7B-hf", | |
| "decoding": "greedy, bf16", | |
| "sets": { | |
| "spgispeech": { | |
| "wer_pct": 2.835, | |
| "reference_words": 969328, | |
| "utterances": 39341, | |
| "dropped": 0, | |
| "hours": 100.0, | |
| "seconds": 1392 | |
| }, | |
| "tedlium": { | |
| "wer_pct": 2.28, | |
| "reference_words": 28207, | |
| "utterances": 1155, | |
| "dropped": 314, | |
| "hours": 3.06, | |
| "seconds": 58 | |
| }, | |
| "ls_clean": { | |
| "wer_pct": 1.618, | |
| "reference_words": 53027, | |
| "utterances": 2620, | |
| "dropped": 0, | |
| "hours": 5.4, | |
| "seconds": 85 | |
| }, | |
| "ami": { | |
| "wer_pct": 10.481, | |
| "reference_words": 89564, | |
| "utterances": 11653, | |
| "dropped": 990, | |
| "hours": 8.68, | |
| "seconds": 420 | |
| }, | |
| "earnings22": { | |
| "wer_pct": 10.062, | |
| "reference_words": 48899, | |
| "utterances": 2737, | |
| "dropped": 4, | |
| "hours": 5.43, | |
| "seconds": 101 | |
| }, | |
| "gigaspeech": { | |
| "wer_pct": 8.738, | |
| "reference_words": 403656, | |
| "utterances": 19898, | |
| "dropped": 33, | |
| "hours": 35.36, | |
| "seconds": 632 | |
| }, | |
| "ls_other": { | |
| "wer_pct": 3.364, | |
| "reference_words": 52882, | |
| "utterances": 2939, | |
| "dropped": 0, | |
| "hours": 5.34, | |
| "seconds": 92 | |
| }, | |
| "voxpopuli": { | |
| "wer_pct": 6.237, | |
| "reference_words": 44079, | |
| "utterances": 1842, | |
| "dropped": 0, | |
| "hours": 4.93, | |
| "seconds": 68 | |
| } | |
| }, | |
| "mean_7_leaderboard_sets": 6.191, | |
| "mean_8_incl_tedlium": 5.702, | |
| "leaderboard_snapshot_7set_mean": 6.25 | |
| } | |
| } |