IoanaLivia/real_data_2_h_synth_standard_A_B_horoscope-whisper-small
This model is a fine-tuned version of openai/whisper-small on the IoanaLivia/real_data_2_h_synth_standard_A_B_horoscope dataset. It achieves the following results on the evaluation set:
- Loss: 0.2835
- Wer: 18.5319
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: 8
- eval_batch_size: 4
- 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
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0 | 0 | 0.4170 | 30.1014 |
| 0.2648 | 1.0 | 66 | 0.2766 | 18.9273 |
| 0.1007 | 2.0 | 132 | 0.2653 | 18.8413 |
| 0.047 | 3.0 | 198 | 0.2835 | 18.5319 |
| 0.0223 | 4.0 | 264 | 0.3050 | 18.7382 |
| 0.0111 | 5.0 | 330 | 0.3206 | 19.7696 |
| 0.0066 | 6.0 | 396 | 0.3394 | 19.4946 |
| 0.004 | 7.0 | 462 | 0.3476 | 18.5491 |
| 0.003 | 8.0 | 528 | 0.3550 | 18.5319 |
| 0.0027 | 9.0 | 594 | 0.3562 | 18.6007 |
| 0.0021 | 10.0 | 660 | 0.3619 | 18.6178 |
| 0.0019 | 11.0 | 726 | 0.3653 | 18.7038 |
| 0.0018 | 12.0 | 792 | 0.3678 | 18.7554 |
| 0.0016 | 13.0 | 858 | 0.3701 | 18.8069 |
| 0.0016 | 14.0 | 924 | 0.3715 | 18.8413 |
| 0.0015 | 15.0 | 990 | 0.3718 | 18.7554 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1