README.md

metadata

library_name: transformers
language:
  - ta
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - ai4bharat/Shrutilipi
  - deepdml/iisc-mile-tamil-asr
  - fixie-ai/common_voice_17_0
  - ai4bharat/Kathbath
  - google/fleurs
  - deepdml/microsoft-speech-corpus-indian
metrics:
  - wer
model-index:
  - name: Whisper Tiny ta
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 17.0
          type: ai4bharat/Shrutilipi
        metrics:
          - name: Wer
            type: wer
            value: 51.4523837126921

Whisper Tiny ta

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2599
• Wer: 51.4524
• Cer: 11.7485

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.04
• training_steps: 8000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.5468	0.125	1000	0.3404	63.1256	15.8467
0.3868	0.25	2000	0.3010	57.6548	13.5049
0.3373	0.375	3000	0.2899	55.5435	13.1339
0.2859	0.5	4000	0.2790	53.8239	12.5869
0.2951	0.625	5000	0.2662	52.5924	12.0777
0.2761	0.75	6000	0.2633	51.9754	11.9105
0.2687	0.875	7000	0.2598	51.5696	11.7500
0.2731	1.0	8000	0.2599	51.4524	11.7485

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.5.1+cu121
• Datasets 3.6.0
• Tokenizers 0.21.0

Citation

Please cite the model using the following BibTeX entry:

@misc{deepdml/whisper-tiny-ta-mix-norm,
      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}},
      year={2026}
    }