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burakaydinofficial
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Model Details
Model Provider
burakaydinofficial
Model Tree
openai/whisper-base
Input Modalities
Output Modalities
Supported Functionality
Evaluate this control and whisper-base-mla-cv11 on CommonVoice-17 (scripts/validate.py in the
code repo); the per-language difference is the
conversion cost reported on the MLA card and in docs/results/.
| Lang | this control |
|---|---|
| en | 20.1 WER |
| de | 29.3 WER |
| es | 18.1 WER |
| fr | 31.7 WER |
| ru | 27.4 WER |
| tr | 37.8 WER |
| cy | 77.8 WER |
| ar | 56.2 WER |
| ka | 99.1 WER |
| th | 22.1 CER |
Checkpoint note: this is the FINAL-step checkpoint; the dev-selected checkpoint that produced the reference numbers above was not retained, so an independent re-evaluation may differ by a few tenths of a WER point. The MLA card's reported cost used the dev-selected control.
Encoder frozen during fine-tuning; 15,000 steps, warmup+cosine, fp16. Read-speech domain (CommonVoice + FLEURS-validated). "Compression cost" does not apply to this unconverted control.