whisper-base-specAug-non
This model is a fine-tuned version of Youssef1234/whisper-base-specAug on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3537
- Wer: 17.1040
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.208 | 0.25 | 239 | 0.3320 | 15.8293 |
| 0.1384 | 0.5 | 478 | 0.3435 | 17.0993 |
| 0.109 | 0.75 | 717 | 0.3537 | 17.1040 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.15.2
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