Whisper Small KR - CookieMoster99
This model is a fine-tuned version of openai/whisper-small on the zeroth-korean dataset. It achieves the following results on the evaluation set:
- Loss: 0.1037
- Wer: 40.8824
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: 4
- 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: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0294 | 0.18 | 1000 | 0.1502 | 30.7936 |
| 0.0375 | 0.36 | 2000 | 0.1191 | 44.9179 |
| 0.0286 | 0.54 | 3000 | 0.1037 | 40.8824 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
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