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* Use extlinks to point hyperlink with the version of code * Point to version on release and master until then * Apply style * Correct links * Add missing backtick * Simple missing backtick after all. Co-authored-by: Raghavendra Sugeeth P S <raghav-5305@raghav-5305.csez.zohocorpin.com> Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
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39 lines
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Copyright 2020 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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BERTology
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There is a growing field of study concerned with investigating the inner working of large-scale transformers like BERT
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(that some call "BERTology"). Some good examples of this field are:
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* BERT Rediscovers the Classical NLP Pipeline by Ian Tenney, Dipanjan Das, Ellie Pavlick:
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https://arxiv.org/abs/1905.05950
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* Are Sixteen Heads Really Better than One? by Paul Michel, Omer Levy, Graham Neubig: https://arxiv.org/abs/1905.10650
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* What Does BERT Look At? An Analysis of BERT's Attention by Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D.
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Manning: https://arxiv.org/abs/1906.04341
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In order to help this new field develop, we have included a few additional features in the BERT/GPT/GPT-2 models to
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help people access the inner representations, mainly adapted from the great work of Paul Michel
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(https://arxiv.org/abs/1905.10650):
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* accessing all the hidden-states of BERT/GPT/GPT-2,
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* accessing all the attention weights for each head of BERT/GPT/GPT-2,
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* retrieving heads output values and gradients to be able to compute head importance score and prune head as explained
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in https://arxiv.org/abs/1905.10650.
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To help you understand and use these features, we have added a specific example script: :prefix_link:`bertology.py
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<examples/research_projects/bertology/run_bertology.py>` while extract information and prune a model pre-trained on
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GLUE.
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