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---
license: cc-by-sa-4.0
base_model: Definite/klue-bert-mlm-bible
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: klue-bert-cult-classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# klue-bert-cult-classification
This model is a fine-tuned version of [Definite/klue-bert-mlm-bible](https://huggingface.co/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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