Whisper Small Pt POC
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4973
- Wer: 69.3398
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0035 | 8.77 | 1000 | 0.4042 | 70.8647 |
| 0.0004 | 17.54 | 2000 | 0.4718 | 71.8873 |
| 0.0002 | 26.32 | 3000 | 0.4895 | 70.3265 |
| 0.0002 | 35.09 | 4000 | 0.4973 | 69.3398 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3
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Base model
openai/whisper-small