jazzhong1_medical_whisper_cut_small_1
This model is a fine-tuned version of openai/whisper-small on the voice_medical_cut_small_vector dataset. It achieves the following results on the evaluation set:
- Loss: 0.2648
- Cer: 9.1909
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.3922 | 0.2346 | 1000 | 0.4451 | 14.6184 |
| 0.3506 | 0.4693 | 2000 | 0.3587 | 13.0215 |
| 0.3206 | 0.7039 | 3000 | 0.2984 | 10.8546 |
| 0.2721 | 0.9385 | 4000 | 0.2648 | 9.1909 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
openai/whisper-small