IoanaLivia/real_data_1_h_synth_wavenet_A_horoscope-whisper-small
This model is a fine-tuned version of openai/whisper-small on the IoanaLivia/real_data_1_h_synth_wavenet_A_horoscope dataset. It achieves the following results on the evaluation set:
- Loss: 0.2701
- Wer: 18.6350
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 |
| 0.3223 | 1.0 | 46 | 0.2836 | 19.9416 |
| 0.132 | 2.0 | 92 | 0.2701 | 18.6350 |
| 0.0647 | 3.0 | 138 | 0.2860 | 18.9789 |
| 0.0323 | 4.0 | 184 | 0.3034 | 19.1336 |
| 0.0158 | 5.0 | 230 | 0.3200 | 19.1680 |
| 0.0093 | 6.0 | 276 | 0.3409 | 18.9789 |
| 0.0061 | 7.0 | 322 | 0.3488 | 18.8757 |
| 0.0043 | 8.0 | 368 | 0.3561 | 19.2367 |
| 0.0036 | 9.0 | 414 | 0.3605 | 18.9960 |
| 0.0031 | 10.0 | 460 | 0.3660 | 19.1680 |
| 0.0027 | 11.0 | 506 | 0.3688 | 19.3571 |
| 0.0025 | 12.0 | 552 | 0.3713 | 19.3055 |
| 0.0023 | 13.0 | 598 | 0.3731 | 19.2711 |
| 0.0022 | 14.0 | 644 | 0.3743 | 19.2883 |
| 0.0022 | 15.0 | 690 | 0.3747 | 19.3227 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1