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# multiplechoice_robertabase01

This model is a fine-tuned version of [againeureka/klue_roberta_base_retrained](https://huggingface.co/againeureka/klue_roberta_base_retrained) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0236
- Accuracy: 0.9966

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0815        | 1.0   | 1989 | 0.0579          | 0.9887   |
| 0.0259        | 2.0   | 3978 | 0.0394          | 0.9921   |
| 0.0001        | 3.0   | 5967 | 0.0236          | 0.9966   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "multiplechoice_robertabase01", "results": []}]}
transformers pytorch tensorboard roberta multiple-choice generated_from_trainer endpoints_compatible region:us