kogpt2-base-v2-finetuned-koGPT-complete_story-finetuned-koGPT-complete_story
This model is a fine-tuned version of Tiabet/kogpt2-base-v2-finetuned-koGPT-complete_story on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2092
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: 5.6e-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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2518 | 1.0 | 3755 | 2.9790 |
| 3.8162 | 2.0 | 7510 | 2.9607 |
| 3.2811 | 3.0 | 11265 | 3.2092 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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