| | --- |
| | library_name: transformers |
| | language: |
| | - ta |
| | license: apache-2.0 |
| | base_model: openai/whisper-tiny |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - fixie-ai/common_voice_17_0 |
| | - google/fleurs |
| | - ai4bharat/Kathbath |
| | - deepdml/iisc-mile-tamil-asr |
| | - deepdml/microsoft-speech-corpus-indian |
| | - deepdml/openslr65-tamil |
| | 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: fixie-ai/common_voice_17_0 |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 51.66621581584676 |
| | --- |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Whisper Tiny ta |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2641 |
| | - Wer: 51.6662 |
| | - Cer: 11.8757 |
| |
|
| | ## 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: 64 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | | 0.2508 | 0.125 | 1000 | 0.3392 | 62.4235 | 15.5864 | |
| | | 0.1747 | 0.25 | 2000 | 0.3003 | 57.3701 | 13.4963 | |
| | | 0.1586 | 0.375 | 3000 | 0.2905 | 55.5023 | 13.1754 | |
| | | 0.1244 | 0.5 | 4000 | 0.2812 | 53.6500 | 12.6062 | |
| | | 0.1361 | 0.625 | 5000 | 0.2687 | 52.9080 | 12.3268 | |
| | | 0.1093 | 0.75 | 6000 | 0.2685 | 52.2523 | 12.0787 | |
| | | 0.1141 | 0.875 | 7000 | 0.2647 | 51.9844 | 11.9065 | |
| | | 0.1274 | 1.0 | 8000 | 0.2641 | 51.6662 | 11.8757 | |
| | |
| | |
| | ### 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: |
| | |
| | ```bibtex |
| | @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} |
| | } |
| | ``` |
| | |
