IoanaLiviaPopescu/IoanaLiviaPopescu/real-data-synth-data-1200-1-Wavenet-B-whisper-small-v0
This model is a fine-tuned version of openai/whisper-small on the IoanaLiviaPopescu/RealVoiceSynthVoice-1200-1-Wavenet-B dataset. It achieves the following results on the evaluation set:
- Loss: 0.3759
- Wer: 17.0017
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0 | 0 | 0.6024 | 27.8812 |
| 0.2756 | 1.0 | 51 | 0.4008 | 17.9974 |
| 0.1052 | 2.0 | 102 | 0.3728 | 17.3705 |
| 0.0551 | 3.0 | 153 | 0.3759 | 17.0017 |
| 0.0322 | 4.0 | 204 | 0.3911 | 17.5180 |
| 0.0227 | 5.0 | 255 | 0.4033 | 17.6102 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1