---
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
---


# Model Details
Model Developers: Sogang University SGEconFinlab

### Model Description

This model is a language model specialized in economics and finance. This was learned with various economic/finance-related data such as 한국은행 경제 용어, 금융용어사전, KDI시사용어사전, 회계,세무용어사전, 중소기업청전문용어사전, 한경경제용어사전, 맨큐경제학, TESAT 시사 용어 따라잡기, 맨큐경제학, 생글생글 한경, 오늘의 TESAT, 한경주니어 TESAT.
The data source is listed below, and since the data was used for research/policy purposes, we do not wish to disclose the trained data. If you wish to use it, please contact the original author for permission to use it.

- **Developed by:** Sogang University SGEconFinlab
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Base Model:** yanolja/KoSOLAR-10.7B-v0.2

### Model Sources [optional]

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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## 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

Use the code below 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

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

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

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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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]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]

## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

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