Whisper Small Te - Prashanth Kattoju
This model is a fine-tuned version of openai/whisper-small-v3 on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0903
- Wer Ortho: 40.6593
- Wer: 15.3846
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0106 | 8.6207 | 1000 | 0.0903 | 40.6593 | 15.3846 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
Future Scope
More training need to done with generalized data for more accurate results
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