whisper-tiny-finetuned
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5359
- Wer: 48.6486
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.9826 | 1.0 | 11 | 2.8724 | 54.0541 |
| 0.8482 | 2.0 | 22 | 1.9324 | 37.8378 |
| 0.4008 | 3.0 | 33 | 1.7430 | 45.9459 |
| 0.4367 | 4.0 | 44 | 1.7012 | 45.9459 |
| 0.9616 | 5.0 | 55 | 1.6537 | 48.6486 |
| 0.3942 | 6.0 | 66 | 1.6031 | 48.6486 |
| 0.8475 | 7.0 | 77 | 1.5731 | 48.6486 |
| 0.3575 | 8.0 | 88 | 1.5529 | 48.6486 |
| 0.3796 | 9.0 | 99 | 1.5398 | 48.6486 |
| 0.2843 | 10.0 | 110 | 1.5359 | 48.6486 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.1
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Base model
openai/whisper-tiny