korpw
This model is a fine-tuned version of openai/whisper-base on the korphoneh dataset. It achieves the following results on the evaluation set:
- Loss: 0.5903
- Cer: 18.4448
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|---|---|---|---|---|
| 0.0341 | 10.0 | 1000 | 0.4909 | 70.6834 |
| 0.0021 | 20.0 | 2000 | 0.5542 | 18.7048 |
| 0.0008 | 30.0 | 3000 | 0.5810 | 18.7454 |
| 0.0007 | 40.0 | 4000 | 0.5903 | 18.4448 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.0
- Datasets 3.0.2
- Tokenizers 0.20.1
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Base model
openai/whisper-base