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README.md	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#readme
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#bert-for-tensorflow
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#table-of-contents
Model overview	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#model-overview
Model architecture	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#model-architecture
Default configuration	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#default-configuration
Feature support matrix	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#feature-support-matrix
Features	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#features
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Enabling TF32	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#enabling-tf32
Glossary	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#glossary
Setup	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#setup
Requirements	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#requirements
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
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Scripts and sample code	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#scripts-and-sample-code
Parameters	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#parameters
Command-line options	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#command-line-options
Getting the data	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#getting-the-data
Dataset guidelines	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#dataset-guidelines
Multi-dataset	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#multi-dataset
Training process	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-process
Pre-training	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training
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Inference Process With TensorRT	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-process-with-tensorrt
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BioBERT	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#biobert
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Benchmarking	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#benchmarking
Training performance benchmark	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-benchmark
Inference performance benchmark	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-benchmark
Results	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#results
Training accuracy results	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-accuracy-results
Pre-training accuracy	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-accuracy
Fine-tuning accuracy for SQuAD v1.1: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-accuracy-for-squad-v1.1-nvidia-dgx-a100-8x-a100-40GB
Fine-tuning accuracy for GLUE MRPC: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-accuracy-for-glue-mrpc-nvidia-dgx-a100-8x-a100-40GB
Training stability test	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-stability-test
Pre-training SQuAD v1.1 stability test: NVIDIA DGX A100 (256x A100 40GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-squad-v1.1-stability-test-nvidia-dgx-a100-256x-a100-40GB
Fine-tuning SQuAD v1.1 stability test: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-squad-v1.1-stability-test-nvidia-dgx-a100-8x-a100-40GB
Fine-tuning GLUE MRPC stability test: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-glue-mrpc-stability-test-nvidia-dgx-a100-8x-a100-40GB
Training performance results	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-results
Training performance: NVIDIA DGX-1 (8x V100 16GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-1-8x-v100-16GB
Pre-training training performance: single-node on DGX-1 16GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-single-node-on-dgx-1-16GB
Fine-tuning training performance for SQuAD v1.1 on DGX-1 16GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-training-performance-for-squad-v1.1-on-dgx-1-16GB
Training performance: NVIDIA DGX-1 (8x V100 32GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-1-8x-v100-32GB
Pre-training training performance: single-node on DGX-1 32GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-single-node-on-dgx-1-32GB
Fine-tuning training performance for SQuAD v1.1 on DGX-1 32GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-training-performance-for-squad-v1.1-on-dgx-1-32GB
Training performance: NVIDIA DGX-2 (16x V100 32GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-2-16x-v100-32GB
Pre-training training performance: single-node on DGX-2 32GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-single-node-on-dgx-2-32GB
Pre-training training performance: multi-node on DGX-2 32GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-multi-node-on-dgx-2-32GB
Fine-tuning training performance for SQuAD v1.1 on DGX-2 32GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-training-performance-for-squad-v1.1-on-dgx-2-32GB
Training performance: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-a100-8x-a100-40gb
Pre-training training performance: single-node on DGX A100 40GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-single-node-on-dgx-a100-40gb
Pre-training training performance: multi-node on DGX A100 40GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-multi-node-on-dgx-a100-40gb
Fine-tuning training performance for SQuAD v1.1 on DGX A100 40GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-training-performance-for-squad-v1.1-on-dgx-a100-40gb
Inference performance results	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-results
Inference performance: NVIDIA DGX-1 (1x V100 16GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-1-1x-v100-16GB
Fine-tuning inference performance for SQuAD v1.1 on 16GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v1.1-on-16GB
Inference performance: NVIDIA DGX-1 (1x V100 32GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-1-1x-v100-32GB
Fine-tuning inference performance for SQuAD v1.1 on 32GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v1.1-on-32GB
Inference performance: NVIDIA DGX-2 (1x V100 32GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-2-1x-v100-32GB
Fine-tuning inference performance for SQuAD v1.1 on DGX-2 32GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v1.1-on-dgx-2-32GB
Inference performance: NVIDIA DGX A100 (1x A100 40GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-a100-1x-a100-40gb
Fine-tuning inference performance for SQuAD v1.1 on DGX A100 (1x A100 40GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v1.1-on-dgx-a100-40gb
Inference performance: NVIDIA Tesla T4 (1x T4 16GB)	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-tesla-t4-1x-t4-16GB
Fine-tuning inference performance for SQuAD v1.1 on Tesla T4 16GB	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v1.1-on-tesla-t4-16GB
Release notes	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#release-notes
Changelog	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#changelog
Known issues	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#known-issues
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#model-overview
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	https://arxiv.org/abs/1810.04805
Google's official implementation	https://github.com/google-research/bert
NVIDIA PyTorch	https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/BERT
Hugging Face	https://github.com/huggingface/pytorch-pretrained-BERT
codertimo	https://github.com/codertimo/BERT-pytorch
gluon-nlp	https://github.com/dmlc/gluon-nlp/tree/master/scripts/bert
Google's official implementation	https://github.com/google-research/bert
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#model-architecture
	https://github.com/feifeibear/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/bert_pipeline.png?raw=true
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#default-configuration
Wikipedia	https://dumps.wikimedia.org/
BookCorpus	http://yknzhu.wixsite.com/mbweb
SQuAD	https://rajpurkar.github.io/SQuAD-explorer/
GLUE	https://gluebenchmark.com/
XLA	https://www.tensorflow.org/xla
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#feature-support-matrix
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#features
TensorFlow tutorial	https://github.com/horovod/horovod/#usage
LAMB	https://arxiv.org/pdf/1904.00962.pdf
Adam	https://arxiv.org/pdf/1412.6980.pdf
LAMB version 1	https://arxiv.org/abs/1904.00962v1
article	https://medium.com/@NvidiaAI/a-guide-to-optimizer-implementation-for-bert-at-scale-8338cc7f45fd
	https://github.com/feifeibear/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/images_nvlamb.png
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#mixed-precision-training
Mixed precision	https://arxiv.org/abs/1710.03740
Tensor Cores	https://developer.nvidia.com/tensor-cores
mixed precision training	https://docs.nvidia.com/deeplearning/performance/mixed-precision-training/index.html
mixed precision methodology	https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html#tensorflow
Mixed Precision Training	https://arxiv.org/abs/1710.03740
Training With Mixed Precision	https://docs.nvidia.com/deeplearning/performance/mixed-precision-training/index.html
Mixed-Precision Training of Deep Neural Networks	https://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/
Using TF-AMP	https://docs.nvidia.com/deeplearning/dgx/tensorflow-user-guide/index.html#tfamp
NVIDIA Apex: Tools for Easy Mixed-Precision Training in PyTorch	https://devblogs.nvidia.com/apex-pytorch-easy-mixed-precision-training/
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#enabling-mixed-precision
loss scaling	https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html#lossscaling
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#enabling-tf32
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#glossary
Attention Is All You Need	https://arxiv.org/abs/1706.03762
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#setup
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#requirements
NVIDIA Docker	https://github.com/NVIDIA/nvidia-docker
TensorFlow 20.06-py3+	https://ngc.nvidia.com/catalog/containers/nvidia:tensorflow
NVIDIA Volta	https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/
NVIDIA Turing	https://www.nvidia.com/en-us/geforce/turing/
NVIDIA Ampere architecture	https://www.nvidia.com/en-us/data-center/nvidia-ampere-gpu-architecture/
Getting Started Using NVIDIA GPU Cloud	https://docs.nvidia.com/ngc/ngc-getting-started-guide/index.html
Accessing And Pulling From The NGC Container Registry	https://docs.nvidia.com/deeplearning/frameworks/user-guide/index.html#accessing_registry
Running TensorFlow	https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/running.html#running
NVIDIA Container Support Matrix	https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html
Enroot	https://github.com/NVIDIA/enroot
Pyxis	https://github.com/NVIDIA/pyxis
SLURM	https://slurm.schedmd.com
Multi-node Documentation	https://docs.nvidia.com/ngc/multi-node-bert-user-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
fine tuned	https://ngc.nvidia.com/catalog/models/nvidia:bert_tf_v1_1_large_fp32_384
pre-trained	https://ngc.nvidia.com/catalog/models/nvidia:bert_tf_pretraining_lamb_16n
NGC model catalog	https://ngc.nvidia.com/catalog/models
LAMB paper	https://arxiv.org/pdf/1904.00962.pdf
BERT paper	https://arxiv.org/pdf/1810.04805.pdf
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#advanced
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#scripts-and-sample-code
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#parameters
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#command-line-options
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#getting-the-data
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#dataset-guidelines
WordPiece tokenization	https://arxiv.org/pdf/1609.08144.pdf
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#multi-dataset
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-process
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#multi-node
Requirements	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#requirements
Training performance results	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-results
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-process
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-process-with-tensorrt
./trt/README.md	https://github.com/feifeibear/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/trt/README.md
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#deploying-the-bert-model-using-triton-inference-server
NVIDIA Triton Inference Server	https://github.com/NVIDIA/triton-inference-server
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#biobert
BioBERT	https://arxiv.org/pdf/1901.08746.pdf
SciBERT	https://arxiv.org/pdf/1903.10676.pdf
NCBI-BERT	https://arxiv.org/pdf/1906.05474.pdf
ClinicalBERT (MIT)	https://arxiv.org/pdf/1904.03323.pdf
ClinicalBERT (NYU, Princeton)	https://arxiv.org/pdf/1904.05342.pdf
BioNLP’19 workshop	https://aclweb.org/aclwiki/BioNLP_Workshop
PubMed	https://www.ncbi.nlm.nih.gov/pubmed/
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#performance
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#benchmarking
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-benchmark
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-benchmark
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#results
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-accuracy-results
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-accuracy
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-accuracy
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-accuracy-for-squad-v11-nvidia-dgx-a100-8x-a100-40g
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-accuracy-for-glue-mrpc-nvidia-dgx-a100-8x-a100-40g
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-stability-test
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-squad-v11-stability-test-nvidia-dgx-a100-256x-a100-40gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-squad-v11-stability-test-nvidia-dgx-a100-8x-a100-40gb
https://ngc.nvidia.com/catalog/models/nvidia:bert_tf_pretraining_lamb_16n	https://ngc.nvidia.com/catalog/models/nvidia:bert_tf_pretraining_lamb_16n
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-glue-mrpc-stability-test-nvidia-dgx-a100-8x-a100-40gb
https://ngc.nvidia.com/catalog/models/nvidia:bert_tf_pretraining_lamb_16n	https://ngc.nvidia.com/catalog/models/nvidia:bert_tf_pretraining_lamb_16n
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-results
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-1-8x-v100-16gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-single-node-on-dgx-1-16gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-training-performance-for-squad-v11-on-dgx-1-16gb
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-1-8x-v100-32gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-single-node-on-dgx-1-32gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-training-performance-for-squad-v11-on-dgx-1-32gb
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-2-16x-v100-32gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-single-node-on-dgx-2-32gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-multi-node-on-dgx-2h-32gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-training-performance-for-squad-v11-on-dgx-2-32gb
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-a100-8x-a100-40gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-single-node-on-dgx-a100-40gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training-training-performance-multi-node-on-dgx-a100-40gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-training-performance-for-squad-v11-on-dgx-a100-40gb
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-results
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-1-1x-v100-16gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v11-on-16gb
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-1-1x-v100-32gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v11-on-32gb
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-2-1x-v100-32gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v11-on-dgx-2--32gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-a100-1x-a100-40gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v11-on-dgx-a100--40gb
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-tesla-t4-1x-t4-16gb
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning-inference-performance-for-squad-v11-on-tesla-t4-16gb
Quick Start Guide	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#release-notes
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#changelog
	https://github.com/feifeibear/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#known-issues
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Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
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Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

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