IoanaLivia/real_data_1_h_synth_standard_A_horoscope-whisper-small
This model is a fine-tuned version of openai/whisper-small on the IoanaLivia/real_data_1_h_synth_standard_A_horoscope dataset. It achieves the following results on the evaluation set:
- Loss: 0.3404
- Wer: 18.4631
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 |
| 0.3105 | 1.0 | 49 | 0.2822 | 18.6350 |
| 0.1247 | 2.0 | 98 | 0.2664 | 18.8241 |
| 0.0589 | 3.0 | 147 | 0.2849 | 19.1164 |
| 0.0283 | 4.0 | 196 | 0.3118 | 18.6350 |
| 0.0143 | 5.0 | 245 | 0.3264 | 18.5319 |
| 0.0077 | 6.0 | 294 | 0.3404 | 18.4631 |
| 0.0058 | 7.0 | 343 | 0.3490 | 18.9273 |
| 0.0041 | 8.0 | 392 | 0.3579 | 18.8585 |
| 0.0032 | 9.0 | 441 | 0.3654 | 19.0132 |
| 0.0028 | 10.0 | 490 | 0.3694 | 19.0476 |
| 0.0025 | 11.0 | 539 | 0.3726 | 19.1164 |
| 0.0023 | 12.0 | 588 | 0.3753 | 19.1851 |
| 0.0022 | 13.0 | 637 | 0.3770 | 19.1680 |
| 0.0021 | 14.0 | 686 | 0.3779 | 19.1680 |
| 0.0021 | 14.7010 | 720 | 0.3780 | 19.2023 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1