Whisper Small Hre 5.1, ASR for male & female Hre voice, 1000 steps, metric CER
This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 7 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0437
- Cer Ortho: 1.6227
- Cer: 0.8702
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: 16
- eval_batch_size: 16
- seed: 42
- 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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer Ortho | Cer |
|---|---|---|---|---|---|
| 0.1106 | 3.2362 | 1000 | 0.0437 | 1.6227 | 0.8702 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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