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snunlp/KR-FinBert-SC

Text Classification·snunlp· 183.6K· 39
transformers Text Classification deploy:azureregion:us

Much progress has been made in the NLP (Natural Language Processing) field, with numerous studies showing that domain adaptation using small-scale corpus and fine-tuning with labeled data is effective for overall performance improvement. we proposed KR-FinBert for the financial domain by further pre-training it on a financial corpus and fine-tuning it for sentiment analysis. As many studies have

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# pull & run locally
pip install mlforge-sdk && mlforge pull snunlp/KR-FinBert-SC

Model details

Task
Text Classification
Provider
snunlp
Framework
transformers
Size
1.1 GB
Downloads
183.6K
Likes
39
Updated
2022-04-28

About snunlp/KR-FinBert-SC

Much progress has been made in the NLP (Natural Language Processing) field, with numerous studies showing that domain adaptation using small-scale corpus and fine-tuning with labeled data is effective for overall performance improvement. we proposed KR-FinBert for the financial domain by further pre-training it on a financial corpus and fine-tuning it for sentiment analysis. As many studies have shown, the performance improvement through adaptation and conducting the downstream task was also clear in this experiment.

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