klue-bert-cult-classification
This model is a fine-tuned version of Definite/klue-bert-mlm-bible on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0816
- Accuracy: 0.988
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 313 | 0.1386 | 0.984 |
| 0.0203 | 2.0 | 626 | 0.0910 | 0.9853 |
| 0.0203 | 3.0 | 939 | 0.0745 | 0.989 |
| 0.0031 | 4.0 | 1252 | 0.0900 | 0.9877 |
| 0.0004 | 5.0 | 1565 | 0.0823 | 0.988 |
| 0.0004 | 6.0 | 1878 | 0.0816 | 0.988 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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