whisper-tiny-bn-custom-spm
This model is a fine-tuned version of Noobbbbb/whisper-tiny-bn-custom-spm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4220
- Wer: 72.73
- Cer: 46.62
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: 3e-06
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 13
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.2248 | 1.4535 | 1000 | 1.6454 | 76.44 | 49.73 |
| 2.1715 | 2.9070 | 2000 | 1.5724 | 75.21 | 49.2 |
| 2.0676 | 4.3605 | 3000 | 1.5242 | 74.82 | 48.7 |
| 2.0005 | 5.8140 | 4000 | 1.4818 | 73.67 | 47.12 |
| 1.9536 | 7.2674 | 5000 | 1.4661 | 73.07 | 46.64 |
| 1.8984 | 8.7209 | 6000 | 1.4387 | 72.99 | 46.82 |
| 1.9172 | 10.1744 | 7000 | 1.4269 | 72.79 | 46.59 |
| 1.8687 | 11.6279 | 8000 | 1.4229 | 72.67 | 46.51 |
| 1.9018 | 13.0 | 8944 | 1.4220 | 72.73 | 46.62 |
Framework versions
- Transformers 5.12.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2