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Title: GitHub - TheShadow29/pytorch-pretrained-BERT: A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities. · GitHub

Open Graph Title: GitHub - TheShadow29/pytorch-pretrained-BERT: A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

X Title: GitHub - TheShadow29/pytorch-pretrained-BERT: A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

Description: A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities. - TheShadow29/pytorch-pretrained-BERT

Open Graph Description: A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities. - TheShadow29/pytorch-pretrained-BERT

X Description: A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities. - TheShadow29/pytorch-pretrained-BERT

Opengraph URL: https://github.com/TheShadow29/pytorch-pretrained-BERT

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og:image:altA PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities. - TheShadow29/pytorch-pretrained-BERT
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binhttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/bin
exampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/examples
exampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/examples
notebookshttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/notebooks
notebookshttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/notebooks
pytorch_pretrained_berthttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/pytorch_pretrained_bert
pytorch_pretrained_berthttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/pytorch_pretrained_bert
sampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/samples
sampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/samples
testshttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/tests
testshttps://github.com/TheShadow29/pytorch-pretrained-BERT/tree/master/tests
.gitignorehttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/.gitignore
.gitignorehttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/.gitignore
LICENSEhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/LICENSE
LICENSEhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/LICENSE
README.mdhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/README.md
README.mdhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/README.md
requirements.txthttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/requirements.txt
requirements.txthttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/requirements.txt
setup.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/setup.py
setup.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/setup.py
READMEhttps://github.com/TheShadow29/pytorch-pretrained-BERT
Apache-2.0 licensehttps://github.com/TheShadow29/pytorch-pretrained-BERT
https://github.com/TheShadow29/pytorch-pretrained-BERT#pytorch-pretrained-bert
Google's TensorFlow repository for the BERT modelhttps://github.com/google-research/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://arxiv.org/abs/1810.04805
Google's pre-trained modelshttps://github.com/google-research/bert
https://github.com/TheShadow29/pytorch-pretrained-BERT#content
Installationhttps://github.com/TheShadow29/pytorch-pretrained-BERT#installation
Overviewhttps://github.com/TheShadow29/pytorch-pretrained-BERT#overview
Usagehttps://github.com/TheShadow29/pytorch-pretrained-BERT#usage
Dochttps://github.com/TheShadow29/pytorch-pretrained-BERT#doc
Exampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT#examples
Notebookshttps://github.com/TheShadow29/pytorch-pretrained-BERT#notebooks
TPUhttps://github.com/TheShadow29/pytorch-pretrained-BERT#tpu
Command-line interfacehttps://github.com/TheShadow29/pytorch-pretrained-BERT#Command-line-interface
https://github.com/TheShadow29/pytorch-pretrained-BERT#installation
https://github.com/TheShadow29/pytorch-pretrained-BERT#with-pip
https://github.com/TheShadow29/pytorch-pretrained-BERT#from-source
tests folderhttps://github.com/huggingface/pytorch-pretrained-BERT/tree/master/tests
https://github.com/TheShadow29/pytorch-pretrained-BERT#overview
Dochttps://github.com/TheShadow29/pytorch-pretrained-BERT#doc
modeling.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py
BertModelhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py#L537
BertForMaskedLMhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py#L691
BertForNextSentencePredictionhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py#L752
BertForPreTraininghttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py#L620
BertForSequenceClassificationhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py#L814
BertForMultipleChoicehttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py#L880
BertForTokenClassificationhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py#L949
BertForQuestionAnsweringhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py#L1015
tokenization.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/tokenization.py
optimization.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/optimization.py
modeling.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py
examples folderhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples
extract_features.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/extract_features.py
run_classifier.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_classifier.py
run_squad.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_squad.py
run_swag.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_swag.py
Exampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT#examples
notebooks folderhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/notebooks
Comparing-TF-and-PT-models.ipynbhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/notebooks/Comparing-TF-and-PT-models.ipynb
Comparing-TF-and-PT-models-SQuAD.ipynbhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/notebooks/Comparing-TF-and-PT-models-SQuAD.ipynb
Comparing-TF-and-PT-models-MLM-NSP.ipynbhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/notebooks/Comparing-TF-and-PT-models-MLM-NSP.ipynb
Notebookshttps://github.com/TheShadow29/pytorch-pretrained-BERT#notebooks
Command-line interfacehttps://github.com/TheShadow29/pytorch-pretrained-BERT#Command-line-interface
https://github.com/TheShadow29/pytorch-pretrained-BERT#usage
doc sectionhttps://github.com/TheShadow29/pytorch-pretrained-BERT#doc
https://github.com/TheShadow29/pytorch-pretrained-BERT#doc
Loading Google AI's pre-trained weigthshttps://github.com/TheShadow29/pytorch-pretrained-BERT#Loading-Google-AIs-pre-trained-weigths-and-PyTorch-dump
PyTorch modelshttps://github.com/TheShadow29/pytorch-pretrained-BERT#PyTorch-models
Tokenizer: BertTokenizerhttps://github.com/TheShadow29/pytorch-pretrained-BERT#Tokenizer-BertTokenizer
Optimizer: BertAdamhttps://github.com/TheShadow29/pytorch-pretrained-BERT#Optimizer-BertAdam
https://github.com/TheShadow29/pytorch-pretrained-BERT#loading-google-ais-pre-trained-weigths-and-pytorch-dump
herehttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py
Multilingual READMEhttps://github.com/google-research/bert/blob/master/multilingual.md
https://github.com/TheShadow29/pytorch-pretrained-BERT#pytorch-models
https://github.com/TheShadow29/pytorch-pretrained-BERT#1-bertmodel
modeling.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py
extract_features.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/extract_features.py
run_classifier.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_classifier.py
run_squad.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_squad.py
extract_features.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/extract_features.py
https://github.com/TheShadow29/pytorch-pretrained-BERT#2-bertforpretraining
BertModelhttps://github.com/TheShadow29/pytorch-pretrained-BERT#-1.-%60BertModel%60
https://github.com/TheShadow29/pytorch-pretrained-BERT#3-bertformaskedlm
BertModelhttps://github.com/TheShadow29/pytorch-pretrained-BERT#-1.-%60BertModel%60
https://github.com/TheShadow29/pytorch-pretrained-BERT#4-bertfornextsentenceprediction
BertModelhttps://github.com/TheShadow29/pytorch-pretrained-BERT#-1.-%60BertModel%60
https://github.com/TheShadow29/pytorch-pretrained-BERT#5-bertforsequenceclassification
run_classifier.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_classifier.py
https://github.com/TheShadow29/pytorch-pretrained-BERT#6-bertformultiplechoice
Improving Language Understanding by Generative Pre-Traininghttps://blog.openai.com/language-unsupervised/
issuehttps://github.com/google-research/bert/issues/38
run_swag.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_swag.py
https://github.com/TheShadow29/pytorch-pretrained-BERT#7-bertfortokenclassification
https://github.com/TheShadow29/pytorch-pretrained-BERT#8-bertforquestionanswering
run_squad.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_squad.py
https://github.com/TheShadow29/pytorch-pretrained-BERT#tokenizer-berttokenizer
tokenization.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/tokenization.py
https://github.com/TheShadow29/pytorch-pretrained-BERT#optimizer-bertadam
https://github.com/TheShadow29/pytorch-pretrained-BERT#examples
Training large models: introduction, tools and exampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT#Training-large-models-introduction,-tools-and-examples
Fine-tuning with BERT: running the exampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT#Fine-tuning-with-BERT-running-the-examples
./exampleshttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples
Fine-tuning BERT-large on GPUshttps://github.com/TheShadow29/pytorch-pretrained-BERT#Fine-tuning-BERT-large-on-GPUs
https://github.com/TheShadow29/pytorch-pretrained-BERT#training-large-models-introduction-tools-and-examples
run_classifier.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_classifier.py
run_squad.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_squad.py
the tips on training large batches in PyTorchhttps://medium.com/huggingface/training-larger-batches-practical-tips-on-1-gpu-multi-gpu-distributed-setups-ec88c3e51255
run_squad.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_squad.py
herehttps://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/
herehttps://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html
https://github.com/TheShadow29/pytorch-pretrained-BERT#fine-tuning-with-bert-running-the-examples
the original implementationhttps://github.com/google-research/bert/
GLUE datahttps://gluebenchmark.com/tasks
this scripthttps://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e
the original implementation hyper-parametershttps://github.com/google-research/bert#sentence-and-sentence-pair-classification-tasks
train-v1.1.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/train-v1.1.json
dev-v1.1.jsonhttps://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v1.1.json
evaluate-v1.1.pyhttps://github.com/allenai/bi-att-flow/blob/master/squad/evaluate-v1.1.py
repositoryhttps://github.com/rowanz/swagaf
https://github.com/TheShadow29/pytorch-pretrained-BERT#fine-tuning-bert-large-on-gpus
https://github.com/TheShadow29/pytorch-pretrained-BERT#notebooks
three Jupyter Notebookshttps://github.com/huggingface/pytorch-pretrained-BERT/tree/master/notebooks
Comparing-TF-and-PT-models.ipynbhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/notebooks/Comparing-TF-and-PT-models.ipynb
Comparing-TF-and-PT-models-SQuAD.ipynbhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/notebooks/Comparing-TF-and-PT-models-SQuAD.ipynb
Comparing-TF-and-PT-models-MLM-NSP.ipynbhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/notebooks/Comparing-TF-and-PT-models-MLM-NSP.ipynb
https://github.com/TheShadow29/pytorch-pretrained-BERT#command-line-interface
the pre-trained models released by Googlehttps://github.com/google-research/bert#pre-trained-models
./pytorch_pretrained_bert/convert_tf_checkpoint_to_pytorch.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/convert_tf_checkpoint_to_pytorch.py
extract_features.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/extract_features.py
run_classifier.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/examples/run_classifier.py
run_squad.pyhttps://github.com/TheShadow29/pytorch-pretrained-BERT/blob/master/(./examples/run_squad.py)
herehttps://github.com/google-research/bert#pre-trained-models
https://github.com/TheShadow29/pytorch-pretrained-BERT#tpu
official announcementhttps://cloud.google.com/blog/products/ai-machine-learning/introducing-pytorch-across-google-cloud
create_pretraining_data.pyhttps://github.com/google-research/bert/blob/master/create_pretraining_data.py
run_pretraining.pyhttps://github.com/google-research/bert/blob/master/run_pretraining.py
herehttps://github.com/google-research/bert#pre-training-with-bert
Readmehttps://github.com/TheShadow29/pytorch-pretrained-BERT#readme-ov-file
Apache-2.0 licensehttps://github.com/TheShadow29/pytorch-pretrained-BERT#Apache-2.0-1-ov-file
Activityhttps://github.com/TheShadow29/pytorch-pretrained-BERT/activity
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