Whisper Small Ko - VTS Test
This model is a fine-tuned version of openai/whisper-small on the VTS Sample Data dataset. It achieves the following results on the evaluation set:
- Loss: 1.8448
- Wer: 83.3333
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
2.4926 | 5.0 | 5 | 1.9700 | 83.3333 |
1.397 | 10.0 | 10 | 1.8448 | 83.3333 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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