Whisper Tiny Grpo 0029b82 Cv22 Tiny Sft | Sweet Tea StudioWhisper Tiny Grpo 0029b82 Cv22 Tiny Sft
A Whisper model fine-tuned with GRPO (Group Relative Policy Optimization) using a blended error-rate reward . Trained with whisper-rl.
Verified source
Kindautomatic-speech-recognitionBase modelopenai/whisper-tinyVersionva7916ac755d784115662d0df4878bd403acbd914LicensemitPublisher@wriceCgrade Model source
- Kind
- automatic-speech-recognition
- Base model
- openai/whisper-tiny
- Version
- va7916ac755d784115662d0df4878bd403acbd914
- License
- mit
- Source
- Hugging Face
--- library_name: transformers license: mit pipeline_tag: automatic-speech-recognition base_model: openai/whisper-tiny datasets: - cv22_index language: - en tags: - whisper - grpo - reinforcement-learning - asr metrics: - wer - cer model-index: - name: whisper-tiny-grpo-0029b82-cv22-tiny-sft results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: af split: validation metrics: - type: wer value: 0.9111 name: WER (af) - type: cer value: 0.3019 name: CER (af) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: am split: validation metrics: - type: wer value: 0.8649 name: WER (am) - type: cer value: 0.5480 name: CER (am) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ar split: validation metrics: - type: wer value: 0.6471 name: WER (ar) - type: cer value: 0.2526 name: CER (ar) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: as split: validation metrics: - type: wer value: 0.3438 name: WER (as) - type: cer value: 0.1929 name: CER (as) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: az split: validation metrics: - type: wer value: 0.7442 name: WER (az) - type: cer value: 0.2567 name: CER (az) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ba split: validation metrics: - type: wer value: 0.8125 name: WER (ba) - type: cer value: 0.2775 name: CER (ba) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: be split: validation metrics: - type: wer value: 0.5556 name: WER (be) - type: cer value: 0.1412 name: CER (be) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: bg split: validation metrics: - type: wer value: 0.6000 name: WER (bg) - type: cer value: 0.1653 name: CER (bg) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: bn split: validation metrics: - type: wer value: 0.3750 name: WER (bn) - type: cer value: 0.2233 name: CER (bn) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: br split: validation metrics: - type: wer value: 0.7073 name: WER (br) - type: cer value: 0.3492 name: CER (br) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ca split: validation metrics: - type: wer value: 0.8200 name: WER (ca) - type: cer value: 0.3684 name: CER (ca) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: cs split: validation metrics: - type: wer value: 0.6250 name: WER (cs) - type: cer value: 0.1302 name: CER (cs) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: cy split: validation metrics: - type: wer value: 0.4500 name: WER (cy) - type: cer value: 0.1422 name: CER (cy) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: da split: validation metrics: - type: wer value: 0.3462 name: WER (da) - type: cer value: 0.1318 name: CER (da) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: de split: validation metrics: - type: wer value: 0.2245 name: WER (de) - type: cer value: 0.0888 name: CER (de) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: el split: validation metrics: - type: wer value: 0.4091 name: WER (el) - type: cer value: 0.1304 name: CER (el) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: en split: validation metrics: - type: wer value: 0.5122 name: WER (en) - type: cer value: 0.2673 name: CER (en) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: es split: validation metrics: - type: wer value: 0.6522 name: WER (es) - type: cer value: 0.2416 name: CER (es) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: et split: validation metrics: - type: wer value: 0.9630 name: WER (et) - type: cer value: 0.2326 name: CER (et) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: eu split: validation metrics: - type: wer value: 0.5833 name: WER (eu) - type: cer value: 0.1421 name: CER (eu) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: fa split: validation metrics: - type: wer value: 0.9000 name: WER (fa) - type: cer value: 0.3605 name: CER (fa) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: fi split: validation metrics: - type: wer value: 0.5000 name: WER (fi) - type: cer value: 0.1276 name: CER (fi) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: fr split: validation metrics: - type: wer value: 0.4000 name: WER (fr) - type: cer value: 0.1674 name: CER (fr) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: gl split: validation metrics: - type: wer value: 0.2812 name: WER (gl) - type: cer value: 0.0478 name: CER (gl) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ha split: validation metrics: - type: wer value: 0.5161 name: WER (ha) - type: cer value: 0.1083 name: CER (ha) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: he split: validation metrics: - type: wer value: 1.0000 name: WER (he) - type: cer value: 0.6696 name: CER (he) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: hi split: validation metrics: - type: wer value: 0.3019 name: WER (hi) - type: cer value: 0.1707 name: CER (hi) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ht split: validation metrics: - type: wer value: 0.9524 name: WER (ht) - type: cer value: 0.4111 name: CER (ht) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: hu split: validation metrics: - type: wer value: 1.0556 name: WER (hu) - type: cer value: 0.7203 name: CER (hu) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: hy-AM split: validation metrics: - type: wer value: 0.8800 name: WER (hy-AM) - type: cer value: 0.2772 name: CER (hy-AM) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: id split: validation metrics: - type: wer value: 0.7692 name: WER (id) - type: cer value: 0.3378 name: CER (id) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: is split: validation metrics: - type: wer value: 0.9677 name: WER (is) - type: cer value: 0.5430 name: CER (is) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: it split: validation metrics: - type: wer value: 0.4211 name: WER (it) - type: cer value: 0.1074 name: CER (it) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ja split: validation metrics: - type: wer value: 1.0000 name: WER (ja) - type: cer value: 0.4375 name: CER (ja) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ka split: validation metrics: - type: wer value: 0.7619 name: WER (ka) - type: cer value: 0.3833 name: CER (ka) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: kk split: validation metrics: - type: wer value: 0.6500 name: WER (kk) - type: cer value: 0.2243 name: CER (kk) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ko split: validation metrics: - type: wer value: 0.6522 name: WER (ko) - type: cer value: 0.5244 name: CER (ko) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: lo split: validation metrics: - type: wer value: 0.7879 name: WER (lo) - type: cer value: 0.7044 name: CER (lo) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: lt split: validation metrics: - type: wer value: 0.7826 name: WER (lt) - type: cer value: 0.3027 name: CER (lt) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: lv split: validation metrics: - type: wer value: 0.6667 name: WER (lv) - type: cer value: 0.1429 name: CER (lv) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: mk split: validation metrics: - type: wer value: 0.4242 name: WER (mk) - type: cer value: 0.1505 name: CER (mk) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ml split: validation metrics: - type: wer value: 0.3488 name: WER (ml) - type: cer value: 0.2449 name: CER (ml) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: mn split: validation metrics: - type: wer value: 0.7353 name: WER (mn) - type: cer value: 0.2618 name: CER (mn) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: mr split: validation metrics: - type: wer value: 0.1714 name: WER (mr) - type: cer value: 0.1039 name: CER (mr) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: mt split: validation metrics: - type: wer value: 0.5625 name: WER (mt) - type: cer value: 0.1808 name: CER (mt) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: ne-NP split: validation metrics: - type: wer value: 0.3600 name: WER (ne-NP) - type: cer value: 0.1875 name: CER (ne-NP) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: nl split: validation metrics: - type: wer value: 0.6667 name: WER (nl) - type: cer value: 0.1984 name: CER (nl) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type: cv22_index name: cv22_index config: nn-NO split: validation metrics: - type: wer value: 0.8889 name: WER (nn-NO) - type: cer value: 0.4828 name: CER (nn-NO) - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: type:...
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libraryname: transformers license: mit pipelinetag: automatic-speech-recognition basemodel: openai/whisper-tiny datasets: cv22index language: en tags: whisper grpo reinforcement-learning asr metrics: wer cer model-index: name:…
Jul 11
A Whisper model fine-tuned with GRPO (Group Relative Policy Optimization) using a blended error-rate reward . Trained with whisper-rl.
wrice/whisper-tiny-grpo-0029b82-cv22-tiny-sft