Whisper Tiny 24lang

--- license: apache-2.0 base_model: openai/whisper-tiny datasets: - burakaydinofficial/Whispered language: [en, de, es, fr, it, pt, ru, nl, pl, id, tr, hi, ms, sv, th, zh, cs, vi, fi, el, da, ja, "no", ko] pipeline_tag: automatic-speech-recognition library_name: transformers tags: [whisper, multilingual, speech-recognition, fine-tuned, control] --- # Whisper-Tiny-24Lang — 24 languages fine-tune, standard architecture (scientific control) A **plain `openai/whisper-tiny`** (unmodified architecture) fine-tuned on the 24 languages of the CC0 [Whispered](https://huggingface.co/datasets/burakaydinofficial/Whispered) corpus. This is the **matched scientific control** for [`burakaydinofficial/whisper-tiny-mla-24lang`](https://huggingface.co/burakaydinofficial/whisper-tiny-mla-24lang) — trained identically, minus the MHA→MLA conversion — published so the MLA **conversion cost is independently reproducible**. No custom code: loads directly in transformers, and — being a plain unmodified Whisper — is convertible for faster-whisper / CTranslate2 / whisper.cpp via their standard converters. ```python from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor model = AutoModelForSpeechSeq2Seq.from_pretrained("burakaydinofficial/whisper-tiny-24lang") # no trust_remote_code processor = AutoProcessor.from_pretrained("burakaydinofficial/whisper-tiny-24lang") ``` ## Reproduce the conversion cost Evaluate this control **and** `whisper-tiny-mla-24lang` on CommonVoice-17 (`scripts/validate.py` in the [code repo](https://github.com/burakaydinofficial/Whispered)); the per-language difference is the conversion cost reported on the MLA card and in `docs/results/`. ## Results (CommonVoice-17 test, greedy, Whisper normalization + Arabic folding; CER for th/zh/ja) > **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 | 28.1 WER | | de | 42.1 WER | | es | 29.5 WER | | fr | 44.8 WER | | it | 43.8 WER | | pt | 43.1 WER | | ru | 40.6 WER | | nl | 38.8 WER | | pl | 47.3 WER | | id | 53.0 WER | | tr | 52.1 WER | | hi | 45.9 WER |...

Source context: 9 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo burakaydinofficial/whisper-tiny-24lang