Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.4252	0.2	1000	0.5015	76.9190	22.6354
0.4034	0.4	2000	0.4818	75.6283	21.8341
0.4708	1.1734	3000	0.4798	75.1697	21.4852
0.4435	1.3734	4000	0.4797	75.3011	21.6158
0.457	2.1468	5000	0.4798	75.4222	21.7188

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Citation

Please cite the model using the following BibTeX entry:

bibtex

@misc{deepdml/whisper-tiny-ta-mix-norm-opti,
      title={Fine-tuned Whisper tiny ASR model for speech recognition in Tamil},
      author={Jimenez, David},
      howpublished={\url{https://huggingface.co/deepdml/whisper-tiny-ta-mix-norm-opti}},
      year={2026}
    }

deepdml/whisper-tiny-ta-mix-norm-optim

Whisper Tiny ta

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Citation

deepdml/
whisper-tiny-ta-mix-norm-optim