whisper-small-pld-hil

openai/whisper-small finetuned on sapinsapin/pld.

Extended run: trained to convergence on the hil portion of PLD read speech, selected on held-out CER. WER/CER are lowercased on the held-out split; CER is the model-selection metric because Philippine-language orthography varies at the word level.

metric	value
cer	0.0712
wer	0.1094

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.