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whisper-small-fsc
sapinsapin/whisper-small-fsc
whisper-small-fsc is a automatic speech recognition model from sapinsapin. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
openai/whisper-small finetuned for Filipino (Tagalog/Taglish) on sapinsapin/filipinospeechcorpus.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026
- SHA
- e883041d
Base models
Datasets
Model card
From the Hugging Face model README
whisper-small-fsc
openai/whisper-small finetuned for Filipino
(Tagalog/Taglish) on
sapinsapin/filipinospeechcorpus.
Trained for 2000 steps on 10000 clips (batch 8×2, lr 1e-05, fp16 + gradient checkpointing). WER/CER are on the held-out split, lowercased; CER is the model-selection metric (Taglish orthography varies at the word level).
| metric | value |
|---|---|
| loss | 0.1793 |
| wer | 0.1591 |
| cer | 0.0706 |
Trained with finetune_asr.py from the
halohalo pipeline; the dataset
adapter normalizes each corpus to (audio@16k, text, speaker_id) so corpora
are swappable with a --dataset flag.
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- tl
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026