whisper-small-minds14-enUS
This model is a fine-tuned version of openai/whisper-small on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5829
- Wer Ortho: 27.8223
- Wer: 28.1582
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: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0003 | 17.86 | 500 | 0.5829 | 27.8223 | 28.1582 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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Base model
openai/whisper-small