gy_Jeolla_test
This model is a fine-tuned version of yomilimi/Gyeongsang_encoder on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0642
- Bleu: 80.4544
- Gen Len: 14.1795
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0737 | 1.0 | 15477 | 0.0721 | 78.571 | 14.2081 |
| 0.0685 | 2.0 | 30954 | 0.0655 | 80.1472 | 14.1847 |
| 0.0643 | 3.0 | 46431 | 0.0642 | 80.4544 | 14.1795 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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