---
base_model: klue/roberta-base
tags:
- generated_from_trainer
datasets:
- korquad
model-index:
- name: roberta-keti-air-korquad
  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. -->

# roberta-keti-air-korquad

This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the korquad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6731

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5572        | 1.0   | 2000 | 0.5212          |
| 0.3247        | 2.0   | 4000 | 0.5645          |
| 0.1786        | 3.0   | 6000 | 0.6731          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3