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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-24lang 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/.
Reconstructed numbers. This control's per-language WER/CER in the table are reconstructed as (the MLA model's absolute score − the measured paired conversion cost), not from a separate evaluation of this checkpoint; an independent re-eval may differ by a few tenths. The paired conversion cost is the directly measured quantity.
| Lang | this control |
|---|---|
| en | 20.5 WER |
| de | 29.7 WER |
| es | 18.8 WER |
| fr | 32.9 WER |
| it | 30.5 WER |
| pt | 28.4 WER |
| ru | 28.0 WER |
| nl | 26.9 WER |
| pl | 34.4 WER |
| id | 38.6 WER |
| tr | 38.8 WER |
| hi | 36.3 WER |
| ms | 35.0 WER |
| sv-SE | 43.2 WER |
| th | 23.9 CER |
| zh-CN | 25.2 CER |
| cs | 53.2 WER |
| vi | 43.1 WER |
| fi | 51.0 WER |
| el | 51.6 WER |
| da | 56.0 WER |
| ja | 34.3 CER |
| nn-NO | 67.3 WER |
| ko | 62.2 WER |
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.