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Whisper large-v2 Korean - ML_project_voice2text
This model is a fine-tuned version of openai/whisper-large-v2 on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0646
- Cer: 1.4722
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: 0.001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 16000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2332 | 0.3593 | 2000 | 0.2677 | 7.6162 |
| 0.196 | 0.7186 | 4000 | 0.2293 | 6.0733 |
| 0.1524 | 1.0780 | 6000 | 0.1864 | 5.3510 |
| 0.1062 | 1.4373 | 8000 | 0.1448 | 3.4508 |
| 0.0815 | 1.7966 | 10000 | 0.1126 | 3.2428 |
| 0.0349 | 2.1559 | 12000 | 0.0863 | 1.9394 |
| 0.0281 | 2.5153 | 14000 | 0.0732 | 1.6214 |
| 0.0191 | 2.8746 | 16000 | 0.0646 | 1.4722 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ymlee/ML_project_voice2text
Base model
openai/whisper-large-v2