whisper-small.en
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|
| 0.1861 | 4.15 | 500 | 0.1216 | 4.5546 |
| 0.028 | 8.31 | 1000 | 0.0244 | 2.5393 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.15.2
