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RoBERTa on SuperGLUE's 'Recognizing Textual Entailment' task #4999

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dirkgr opened this issue Feb 18, 2021 · 1 comment
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RoBERTa on SuperGLUE's 'Recognizing Textual Entailment' task #4999

dirkgr opened this issue Feb 18, 2021 · 1 comment
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Contributions welcome easy Tasks that are relatively easy. Models Issues related to the allennlp-models repo

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dirkgr commented Feb 18, 2021

RTE is one of the tasks of the SuperGLUE benchmark. The task is to re-trace the steps of Facebook's RoBERTa paper (https://arxiv.org/pdf/1907.11692.pdf) and build an AllenNLP config that reads the RTE data and fine-tunes a model on it. We expect scores in the range of their entry on the SuperGLUE leaderboard.

We recommend you use the AllenNLP Repository Template as a starting point. It might also be helpful to look at how the TransformerQA model works (training config, reader, model).
@dirkgr dirkgr added Good First Issue A great place to start for first time contributors Contributions welcome Models Issues related to the allennlp-models repo GSoC easy Tasks that are relatively easy. and removed Good First Issue A great place to start for first time contributors labels Feb 18, 2021
@dirkgr dirkgr removed the GSoC label Mar 9, 2021
@jacob-morrison jacob-morrison mentioned this issue Apr 8, 2021
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dirkgr commented Apr 16, 2021

Done!

@dirkgr dirkgr closed this as completed Apr 16, 2021
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