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metadata
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 ํ•œ๊ตญ์€ํ–‰ ๊ฒฝ์ œ ์šฉ์–ด, ๊ธˆ์œต์šฉ์–ด์‚ฌ์ „, KDI์‹œ์‚ฌ์šฉ์–ด์‚ฌ์ „, ํšŒ๊ณ„,์„ธ๋ฌด์šฉ์–ด์‚ฌ์ „, ์ค‘์†Œ๊ธฐ์—…์ฒญ์ „๋ฌธ์šฉ์–ด์‚ฌ์ „, ํ•œ๊ฒฝ๊ฒฝ์ œ์šฉ์–ด์‚ฌ์ „, ๋งจํ๊ฒฝ์ œํ•™, TESAT ์‹œ์‚ฌ ์šฉ์–ด ๋”ฐ๋ผ์žก๊ธฐ, ๋งจํ๊ฒฝ์ œํ•™, ์ƒ๊ธ€์ƒ๊ธ€ ํ•œ๊ฒฝ, ์˜ค๋Š˜์˜ TESAT, ํ•œ๊ฒฝ์ฃผ๋‹ˆ์–ด 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]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

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.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

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Results

[More Information Needed]

Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • 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

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

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Software

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Citation [optional]