---
base_model: kykim/bert-kor-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuned-KoreanIndoNLI-KorNLI-with-bert-kor-base
  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. -->

# fine-tuned-KoreanIndoNLI-KorNLI-with-bert-kor-base

This model is a fine-tuned version of [kykim/bert-kor-base](https://huggingface.co/kykim/bert-kor-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5175
- Accuracy: 0.8032
- F1: 0.8035

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.513         | 0.5   | 3654  | 0.5627          | 0.7662   | 0.7689 |
| 0.4711        | 1.0   | 7308  | 0.5259          | 0.7822   | 0.7832 |
| 0.4209        | 1.5   | 10962 | 0.5243          | 0.7911   | 0.7907 |
| 0.4228        | 2.0   | 14616 | 0.4848          | 0.8032   | 0.8044 |
| 0.3934        | 2.5   | 18270 | 0.4994          | 0.8038   | 0.8055 |
| 0.3852        | 3.0   | 21924 | 0.4860          | 0.8089   | 0.8090 |
| 0.3368        | 3.5   | 25578 | 0.5109          | 0.7987   | 0.8001 |
| 0.3517        | 4.0   | 29232 | 0.4922          | 0.8083   | 0.8088 |
| 0.3072        | 4.5   | 32886 | 0.5175          | 0.8032   | 0.8035 |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3