whisper-base-en-native
This model is a fine-tuned version of Youssef1234/whisper-base-en-early-stopping on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3798
- Wer: 16.5974
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
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2029 | 1.0 | 774 | 0.3349 | 16.2199 |
| 0.0968 | 2.0 | 1548 | 0.3634 | 16.7856 |
| 0.0419 | 3.0 | 2322 | 0.3798 | 16.5974 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.1
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