Whisper_Old_People_Talk_check
This model is a fine-tuned version of openai/whisper-large-v3 on the Old_People_Talk_Dataset_Ko_Train dataset. It achieves the following results on the evaluation set:
- Loss: 0.1054
- Cer: 7.3499
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: 16
- 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: 100
- training_steps: 600
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.3369 | 0.0221 | 100 | 0.2803 | 7.3760 |
| 0.1671 | 0.0443 | 200 | 0.1688 | 5.1938 |
| 0.1268 | 0.0664 | 300 | 0.1358 | 5.9881 |
| 0.1288 | 0.0885 | 400 | 0.1224 | 6.1016 |
| 0.0951 | 0.1107 | 500 | 0.1106 | 6.3809 |
| 0.1026 | 0.1328 | 600 | 0.1054 | 7.3499 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Base model
openai/whisper-large-v3