IoanaLiviaPopescu/IoanaLiviaPopescu/real-data-synth-data-2000-1-Emil-Neural-whisper-medium-v1
This model is a fine-tuned version of openai/whisper-medium on the IoanaLivia/RealVoiceSynthVoice-2000-1-Emil-Neural dataset. It achieves the following results on the evaluation set:
- Loss: 0.2238
- Wer: 8.1689
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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1141 | 1.0 | 76 | 0.2269 | 8.7405 |
| 0.0301 | 1.9818 | 150 | 0.2238 | 8.1689 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1