README.md

---
base_model: klue/roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-klue-ynat-classification
  results: []
---

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# roberta-base-klue-ynat-classification

This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1490
- 정확도: 0.82

## 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: 8
- eval_batch_size: 8
- 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 | 정확도  |
|:-------------:|:-----:|:----:|:---------------:|:----:|
| No log        | 1.0   | 125  | 0.9073          | 0.82 |
| No log        | 2.0   | 250  | 0.9611          | 0.82 |
| No log        | 3.0   | 375  | 0.9956          | 0.83 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.5.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1