imasc_openslr_festfox
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: 0.0572
- Wer: 28.1413
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: 1000
- training_steps: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0795 | 0.41 | 1000 | 0.1409 | 60.0398 |
| 0.0494 | 0.82 | 2000 | 0.0887 | 43.3441 |
| 0.0272 | 1.23 | 3000 | 0.0731 | 37.3227 |
| 0.0187 | 1.64 | 4000 | 0.0653 | 34.3867 |
| 0.0089 | 2.06 | 5000 | 0.0583 | 29.8333 |
| 0.0093 | 2.47 | 6000 | 0.0572 | 28.1413 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1