throatmic_subvocalization_whisper_base
This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1228
- Wer: 0.5459
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: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Use 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: 50
- training_steps: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.8587 | 0.4464 | 25 | 6.9278 | 1.3758 |
| 5.3129 | 0.8929 | 50 | 3.6133 | 1.2219 |
| 2.3203 | 1.3393 | 75 | 1.8454 | 1.2380 |
| 1.4604 | 1.7857 | 100 | 1.4801 | 0.7549 |
| 1.2345 | 2.2321 | 125 | 1.3462 | 0.6779 |
| 1.0225 | 2.6786 | 150 | 1.2659 | 0.6481 |
| 0.8716 | 3.125 | 175 | 1.2188 | 0.6061 |
| 0.7413 | 3.5714 | 200 | 1.1807 | 0.6061 |
| 0.6884 | 4.0179 | 225 | 1.1523 | 0.5789 |
| 0.5424 | 4.4643 | 250 | 1.1423 | 0.5815 |
| 0.5548 | 4.9107 | 275 | 1.1269 | 0.5951 |
| 0.4597 | 5.3571 | 300 | 1.1245 | 0.5809 |
| 0.3878 | 5.8036 | 325 | 1.1131 | 0.5776 |
| 0.3648 | 6.25 | 350 | 1.1130 | 0.5459 |
| 0.3554 | 6.6964 | 375 | 1.1139 | 0.5621 |
| 0.294 | 7.1429 | 400 | 1.1131 | 0.5563 |
| 0.2431 | 7.5893 | 425 | 1.1235 | 0.5569 |
| 0.2668 | 8.0357 | 450 | 1.1108 | 0.5653 |
| 0.1998 | 8.4821 | 475 | 1.1228 | 0.5459 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0