ASR_Whisper_Peripheral_Neuropathy
This model is a fine-tuned version of openai/whisper-small on the ASR_Preprocess_Peripheral_Neuropathy_Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1775
- Cer: 11.0108
- Wer: 15.8491
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 950
- training_steps: 9500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 0.3642 | 0.8565 | 1000 | 0.3042 | 88.0089 | 85.6774 |
| 0.1563 | 1.7126 | 2000 | 0.2370 | 56.9486 | 47.3565 |
| 0.0783 | 2.5687 | 3000 | 0.2043 | 16.7586 | 23.7618 |
| 0.0305 | 3.4248 | 4000 | 0.1935 | 21.0814 | 25.2930 |
| 0.0164 | 4.2809 | 5000 | 0.1843 | 19.5680 | 21.6927 |
| 0.01 | 5.1370 | 6000 | 0.1823 | 13.3842 | 17.4606 |
| 0.0086 | 5.9936 | 7000 | 0.1792 | 22.1973 | 24.9455 |
| 0.003 | 6.8497 | 8000 | 0.1787 | 12.8683 | 17.4494 |
| 0.0016 | 7.7058 | 9000 | 0.1775 | 11.0108 | 15.8491 |
Framework versions
- Transformers 4.53.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1