Whisper Small Dv - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2260
- Wer Ortho: 70.7865
- Wer: 17.7222
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: 32
- 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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.4025 | 3.2468 | 500 | 0.4676 | 91.6854 | 34.1667 |
| 0.2307 | 6.4935 | 1000 | 0.2723 | 77.0787 | 20.2222 |
| 0.1558 | 9.7403 | 1500 | 0.2503 | 76.1798 | 18.1111 |
| 0.1822 | 12.9870 | 2000 | 0.2260 | 70.7865 | 17.7222 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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openai/whisper-small