whisper_checkpoints3
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 24
- 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
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|
| 0.1851 | 3.16 | 1000 | 0.2392 | 0.7080 |
| 0.0939 | 6.33 | 2000 | 0.2726 | 0.7223 |
| 0.0393 | 9.49 | 3000 | 0.3366 | 0.9990 |
| 0.0086 | 12.66 | 4000 | 0.3786 | 0.7295 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.15.2
