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: 0.3085
- Wer Ortho: 58.3606
- Wer: 11.6320
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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.1119 | 1.63 | 500 | 0.1645 | 60.8817 | 12.9082 |
| 0.0457 | 3.26 | 1000 | 0.1677 | 59.3286 | 11.7450 |
| 0.0317 | 4.89 | 1500 | 0.1903 | 58.3258 | 11.3798 |
| 0.012 | 6.51 | 2000 | 0.2292 | 58.0403 | 11.7085 |
| 0.007 | 8.14 | 2500 | 0.2595 | 56.9538 | 11.0982 |
| 0.0061 | 9.77 | 3000 | 0.2606 | 56.6404 | 10.8878 |
| 0.0052 | 11.4 | 3500 | 0.2737 | 56.8911 | 11.1799 |
| 0.0033 | 13.03 | 4000 | 0.3085 | 58.3606 | 11.6320 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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openai/whisper-small