clean 기타 혐오 남성 성소수자 악플/욕설 여성/가족 연령 인종/국적 종교 지역
---
tags:
- generated_from_trainer
model-index:
- name: kcbert-large-finetuned-unsmile
  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. -->

# kcbert-large-finetuned-unsmile

This model is a fine-tuned version of [beomi/kcbert-large](https://huggingface.co/beomi/kcbert-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1240
- Lrap: 0.8816

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Lrap   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.99  | 58   | 0.2090          | 0.8098 |
| No log        | 1.99  | 116  | 0.1386          | 0.8707 |
| No log        | 2.99  | 174  | 0.1263          | 0.8795 |
| No log        | 3.99  | 232  | 0.1232          | 0.8823 |
| No log        | 4.99  | 290  | 0.1240          | 0.8816 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 1.17.0
- Tokenizers 0.12.1
