whispertiny_buah25sil_v1_9
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0630
- Wer: 4.3787
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
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0063 | 3.3670 | 1000 | 0.0639 | 5.8009 |
| 0.0004 | 6.7340 | 2000 | 0.0410 | 3.0314 |
| 0.0 | 10.1010 | 3000 | 0.0609 | 4.3039 |
| 0.0 | 13.4680 | 4000 | 0.0626 | 4.4162 |
| 0.0 | 16.8350 | 5000 | 0.0630 | 4.3787 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 4.0.0
- Tokenizers 0.19.1