Whisper Small yo - harcuracy model
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2762
- Wer: 75.3382
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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1066 | 5.5556 | 500 | 0.9370 | 76.7003 |
| 0.0053 | 11.1111 | 1000 | 1.1919 | 74.9571 |
| 0.0012 | 16.6667 | 1500 | 1.2762 | 75.3382 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Harcuracy/yoruba_medical_asr
Base model
openai/whisper-small