jazzhong1/jazzhong1_medical_whisper_cut_small_3
This model is a fine-tuned version of openai/whisper-small on the Yettiesoft/voice_medical_cut_small_vector dataset. It achieves the following results on the evaluation set:
- Loss: 0.2959
- Cer: 8.2065
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: 4e-05
- train_batch_size: 32
- eval_batch_size: 8
- 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: 5000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
0.3011 | 0.9381 | 1000 | 0.3146 | 11.6877 |
0.2058 | 1.8762 | 2000 | 0.2831 | 9.7311 |
0.1046 | 2.8143 | 3000 | 0.2834 | 8.9407 |
0.0364 | 3.7523 | 4000 | 0.2867 | 8.5658 |
0.0111 | 4.6904 | 5000 | 0.2959 | 8.2065 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
openai/whisper-small