---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
2023.10.29 Update

이 모형은 기업관련 뉴스에 포함된 문장의 긍정/중립/부정을 판단하기 위한 감성분석 모형입니다.

한국어 기반 금융/경영/회계 분야 감성분석 모형으로 사용하시면 됩니다. 

예시>

삼성전자의 부채가 증가하고 있습니다. --> 중립 (neutral). 부채증가 자체는 부정적이라고 보기 어려움

경영전략의 실패로 삼성전자의 부채가 증가하고 있습니다. --> 부정 (negative). 실패로 인한 부채 증가는 부정적

현지원, 이준일, and 조현권. "KoBERT 를 이용한 기업관련 신문기사 감성 분류 연구." 회계학연구 47.4 (2022): 33-54.

위 논문에서 제안한 모델을 발전시켜 huggingface를 통해 공개합니다.
연구에 사용하실 경우 위 페이퍼를 cite 해 주시기 바랍니다.

해당 모델은 https://huggingface.co/jhgan/ko-sroberta-multitask 를 사용하여 finetuing 한 모형입니다.

사용 코드는 아래 링크를 참고하셔요

구글 코랩:
https://colab.research.google.com/drive/1ORzKUr94cPyc5jaRCAngbclm4Qb4DtdG




현재 모형의 evaluation 결과는 다음과 같습니다.

'eval_loss': 0.3333929479122162

'eval_f1': 0.8637803590285111,

'eval_roc_auc': 0.8973684210526315,

'eval_accuracy': 0.8610526315789474,

정확도 기준으로 논문의 85.7% 에 비해 상승하였으나, 상승폭이 현저하지는 않습니다.

## Model Details

### Model Description

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- **Developed by:** [More Information Needed]
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### Model Sources [optional]

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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure 

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#### Preprocessing [optional]

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#### Training Hyperparameters

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#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]

### Model Architecture and Objective

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## Citation [optional]

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## Glossary [optional]

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