End of training
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README.md
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tags:
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- generated_from_trainer
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datasets:
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- google/fleurs
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- deepdml/iisc-mile-tamil-asr
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- fixie-ai/common_voice_17_0
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metrics:
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- wer
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model-index:
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 17.0
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type:
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metrics:
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- name: Wer
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type: wer
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value:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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- Cer: 11.
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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## Citation
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Please cite the model using the following BibTeX entry:
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```bibtex
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@misc{deepdml/whisper-tiny-ta-mix-norm,
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title={Fine-tuned Whisper tiny ASR model for speech recognition in Tamil},
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author={Jimenez, David},
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howpublished={\url{https://huggingface.co/deepdml/whisper-tiny-ta-mix-norm}},
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year={2026}
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}
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```
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tags:
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- generated_from_trainer
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datasets:
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- deepdml/microsoft-speech-corpus-indian
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- google/fleurs
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- fixie-ai/common_voice_17_0
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- ai4bharat/Kathbath
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- deepdml/iisc-mile-tamil-asr
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metrics:
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- wer
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model-index:
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 17.0
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type: deepdml/microsoft-speech-corpus-indian
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metrics:
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- name: Wer
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type: wer
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value: 50.94614264919942
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2583
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- Wer: 50.9461
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- Cer: 11.6470
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| 0.2315 | 0.125 | 1000 | 0.3384 | 62.1530 | 15.6705 |
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| 0.1623 | 0.25 | 2000 | 0.2973 | 56.7273 | 13.4770 |
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| 0.1716 | 0.375 | 3000 | 0.2856 | 55.2872 | 13.0946 |
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| 0.1572 | 0.5 | 4000 | 0.2676 | 52.6516 | 12.2552 |
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| 0.1475 | 0.625 | 5000 | 0.2650 | 52.0655 | 12.0396 |
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| 0.1656 | 0.75 | 6000 | 0.2610 | 51.5322 | 11.9197 |
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| 0.1048 | 0.875 | 7000 | 0.2561 | 50.7993 | 11.4955 |
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| 0.1166 | 1.0 | 8000 | 0.2583 | 50.9461 | 11.6470 |
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### Framework versions
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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size 151061672
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