---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: multiplechoice_robertabase02_hallym
  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. -->

# multiplechoice_robertabase02_hallym

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: 0.2446
- Accuracy: 0.9503

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5381        | 1.0   | 723  | 0.2212          | 0.9317   |
| 0.2127        | 2.0   | 1446 | 0.2580          | 0.9286   |
| 0.0329        | 3.0   | 2169 | 0.2446          | 0.9503   |


### Framework versions

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