FLANG-DistilBERT is a pre-trained language model which uses financial keywords and phrases for preferential masking of domain specific terms. It is built by further training the DistilBERT language model in the finance domain with improved performance over previous models due to the use of domain knowledge and vocabulary.
FLUE
FLUE (Financial Language Understanding Evaluation) is a comprehensive and heterogeneous benchmark that has been built from 5 diverse financial domain specific datasets.
@INPROCEEDINGS{shah-etal-2022-flang,
author = {Shah, Raj Sanjay and
Chawla, Kunal and
Eidnani, Dheeraj and
Shah, Agam and
Du, Wendi and
Chava, Sudheer and
Raman, Natraj and
Smiley, Charese and
Chen, Jiaao and
Yang, Diyi },
title = {When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain},
booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
year = {2022},
publisher = {Association for Computational Linguistics}
}
Contact information
Please contact Raj Sanjay Shah (rajsanjayshah[at]gatech[dot]edu) or Sudheer Chava (schava6[at]gatech[dot]edu) or Diyi Yang (diyiy[at]stanford[dot]edu) about any FLANG-DistilBERT related issues and questions.
license: afl-3.0
Runs of SALT-NLP FLANG-DistilBERT on huggingface.co
16
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24-hour runs
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3-day runs
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7-day runs
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30-day runs
More Information About FLANG-DistilBERT huggingface.co Model
FLANG-DistilBERT huggingface.co
FLANG-DistilBERT huggingface.co is an AI model on huggingface.co that provides FLANG-DistilBERT's model effect (), which can be used instantly with this SALT-NLP FLANG-DistilBERT model. huggingface.co supports a free trial of the FLANG-DistilBERT model, and also provides paid use of the FLANG-DistilBERT. Support call FLANG-DistilBERT model through api, including Node.js, Python, http.
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FLANG-DistilBERT is an open source model from GitHub that offers a free installation service, and any user can find FLANG-DistilBERT on GitHub to install. At the same time, huggingface.co provides the effect of FLANG-DistilBERT install, users can directly use FLANG-DistilBERT installed effect in huggingface.co for debugging and trial. It also supports api for free installation.