Kim_Sohn_Whisper
This model is a fine-tuned version of openai/whisper-base on the jinho_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.6363
- Cer: 15.4890
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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.3344 | 2.43 | 1000 | 0.5535 | 19.6948 |
| 0.1546 | 4.85 | 2000 | 0.5602 | 16.2194 |
| 0.0505 | 7.28 | 3000 | 0.6095 | 15.7197 |
| 0.0266 | 9.71 | 4000 | 0.6363 | 15.4890 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
openai/whisper-base