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# klue-klue-bert-cult-classification

This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0012
- Accuracy: 0.9995

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0625        | 1.0   | 500  | 0.0012          | 0.9995   |
| 0.0005        | 2.0   | 1000 | 0.0012          | 0.9995   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "klue/bert-base", "model-index": [{"name": "klue-klue-bert-cult-classification", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:klue/bert-base license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us