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whisper-small_new
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1668
- Wer: 15.3492
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: 64
- eval_batch_size: 64
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.3889 | 0.0 | 1 | 3.1044 | 49.3314 |
| 0.1707 | 0.29 | 1000 | 0.2347 | 20.9505 |
| 0.15 | 0.58 | 2000 | 0.1952 | 17.9738 |
| 0.1331 | 0.88 | 3000 | 0.1765 | 16.4836 |
| 0.1016 | 1.17 | 4000 | 0.1703 | 15.6290 |
| 0.0966 | 1.46 | 5000 | 0.1668 | 15.3492 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3
