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README.md	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#readme
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#electra-for-tensorflow2
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#table-of-contents
Model overview	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#model-overview
Model architecture	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#model-architecture
Default configuration	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#default-configuration
Feature support matrix	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#feature-support-matrix
Features	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#features
Mixed precision training	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#mixed-precision-training
Enabling mixed precision	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#enabling-mixed-precision
Enabling TF32	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#enabling-tf32
Glossary	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#glossary
Setup	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#setup
Requirements	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#requirements
Quick Start Guide	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#quick-start-guide
Advanced	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#advanced
Scripts and sample code	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#scripts-and-sample-code
Parameters	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#parameters
Pre-training parameters	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-parameters
Fine-tuning parameters	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-parameters
Command-line options	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#command-line-options
Getting the data	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#getting-the-data
Multi-dataset	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#multi-dataset
Training process	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-process
Pre-training	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training
Multi-node	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#multi-node
Fine-tuning	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning
Inference process	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-process
Fine-tuning inference	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-inference
Performance	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#performance
Benchmarking	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#benchmarking
Training performance benchmark	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-benchmark
Inference performance benchmark	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-performance-benchmark
Results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#results
Training accuracy results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-accuracy-results
Pre-training loss curves	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-loss-curves
Pre-training loss results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-loss-results
Fine-tuning accuracy: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-accuracy-nvidia-dgx-a100-8x-a100-40gb
Fine-tuning accuracy: NVIDIA DGX-1 (8x V100 16GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-accuracy-nvidia-dgx-1-8x-v100-16gb
Fine-tuning accuracy: NVIDIA DGX-2 (16x V100 32GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-accuracy-nvidia-dgx-2-16x-v100-32gb
Training stability test	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-stability-test
Pre-training stability test: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-stability-test-nvidia-dgx-a100-8x-a100-40gb
Fine-tuning stability test: NVIDIA DGX-1 (8x V100 16GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-stability-test-nvidia-dgx-1-8x-v100-16gb
Training performance results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-results
Training performance: NVIDIA DGX A100 (8x A100 40GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-nvidia-dgx-a100-8x-a100-40gb
Pre-training NVIDIA DGX A100 (8x A100 40GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-nvidia-dgx-a100-8x-a100-40gb
Fine-tuning NVIDIA DGX A100 (8x A100 40GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-nvidia-dgx-a100-8x-a100-40gb
Training performance: NVIDIA DGX-1 (8x V100 16GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-nvidia-dgx-1-8x-v100-16gb
Pre-training NVIDIA DGX-1 (8x V100 16GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-nvidia-dgx-1-8x-v100-16gb
Fine-tuning NVIDIA DGX-1 (8x V100 16GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-nvidia-dgx-1-8x-v100-16gb
Training performance: NVIDIA DGX-2 (16x V100 32GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-nvidia-dgx-2-16x-v100-32gb
Pre-training NVIDIA DGX-2 (16x V100 32GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-nvidia-dgx-2-16x-v100-32gb
Fine-tuning NVIDIA DGX-2 (16x V100 32GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-nvidia-dgx-2-16x-v100-32gb
Inference performance results	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-performance-results
Inference performance: NVIDIA DGX A100 (1x A100 40GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-performance-nvidia-dgx-a100-1x-a100-40gb
Fine-tuning inference on NVIDIA DGX A100 (1x A100 40GB)	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-inference-on-nvidia-dgx-a100-1x-a100-40gb
Inference performance: NVIDIA T4	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-performance-nvidia-t4
Fine-tuning inference on NVIDIA T4	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-inference-on-nvidia-t4
Release notes	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#release-notes
Changelog	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#changelog
Known issues	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#known-issues
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#model-overview
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators	https://openreview.net/forum?id=r1xMH1BtvB
Hugging Face implementation	https://huggingface.co/transformers/model_doc/electra.html
Hugging Face	https://huggingface.co/transformers/model_doc/electra.html
Google's implementation	https://github.com/google-research/electra
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#model-architecture
	https://camo.githubusercontent.com/4bfb9bae900d2f3a815268da363aa227ba75130226941467e5543e991b955ae4/68747470733a2f2f312e62702e626c6f6773706f742e636f6d2f2d734879626330336e4a526f2f586d664c6f6e67645659492f41414141414141414662492f61307435775f7a4f5a2d55747859616f516c566b6d54527379464a794664647451434c63424741735948512f73313630302f696d616765312e706e67
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#default-configuration
Google ELECTRA repository	https://github.com/google-research/electra
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#feature-support-matrix
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#features
Horovod: Official repository	https://github.com/horovod/horovod
TensorFlow tutorial	https://github.com/horovod/horovod/#usage
AMP	https://nvidia.github.io/apex/amp.html
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#mixed-precision-training
Mixed precision	https://arxiv.org/abs/1710.03740
Tensor Cores	https://developer.nvidia.com/tensor-cores
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
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#enabling-mixed-precision
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#enabling-tf32
NVIDIA A100	https://www.nvidia.com/en-us/data-center/a100/
TensorFloat-32 in the A100 GPU Accelerates AI Training, HPC up to 20x	https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#glossary
Attention Is All You Need	https://arxiv.org/abs/1706.03762
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#setup
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#requirements
NVIDIA Docker	https://github.com/NVIDIA/nvidia-docker
TensorFlow2 20.07-py3 NGC container or later	https://ngc.nvidia.com/registry/nvidia-tensorflow
NVIDIA Volta architecture	https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/
NVIDIA Turing architecture	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/dgx/user-guide/index.html#accessing_registry
Running TensorFlow2	https://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/running.html#running
NVIDIA Container Support Matrix	https://docs.nvidia.com/deeplearning/dgx/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/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#quick-start-guide
Advanced	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#advanced
SQuAD	https://rajpurkar.github.io/SQuAD-explorer/
Multi-node	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#multi-node
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#advanced
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#scripts-and-sample-code
SQuAD	https://rajpurkar.github.io/SQuAD-explorer/
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#parameters
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-parameters
paper	https://openreview.net/forum?id=r1xMH1BtvB
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-parameters
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#command-line-options
Parameters	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#parameters
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#getting-the-data
SQuAD	https://rajpurkar.github.io/SQuAD-explorer/
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#multi-dataset
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-process
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#multi-node
Requirements	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#requirements
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning
Horovod	https://github.com/horovod/horovod
Parameters	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#parameters
Fine-tuning parameters	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-parameters
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-process
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-inference
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#performance
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#benchmarking
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-benchmark
Training process	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-process
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-performance-benchmark
Inference process	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-process
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#results
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-accuracy-results
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-loss-curves
	https://github.com/mopshell/DeepLearningExamples/blob/master/TensorFlow2/LanguageModeling/ELECTRA/images/total_loss.svg
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-loss-results
Google's ELECTRA++ base pretrained checkpoint	https://github.com/google-research/electra#released-models
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-accuracy-nvidia-dgx-a100-8x-a100-40gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-accuracy-nvidia-dgx-1-8x-v100-16gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-accuracy-nvidia-dgx-2-16x-v100-32gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-stability-test
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-stability-test-nvidia-dgx-a100-8x-a100-40gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-stability-test-nvidia-dgx-1-8x-v100-16gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-results
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-nvidia-dgx-a100-8x-a100-40gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-nvidia-dgx-a100-8x-a100-40gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-nvidia-dgx-a100-8x-a100-40gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-nvidia-dgx-1-8x-v100-16gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-nvidia-dgx-1-8x-v100-16gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-nvidia-dgx-1-8x-v100-16gb
Quick Start Guide	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#quick-start-guide
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#training-performance-nvidia-dgx-2-16x-v100-32gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#pre-training-nvidia-dgx-2-16x-v100-32gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-nvidia-dgx-2-16x-v100-32gb
Quick Start Guide	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#quick-start-guide
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-performance-results
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-performance-nvidia-dgx-a100-1x-a100-40gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-inference-on-nvidia-dgx-a100-1x-a100-40gb
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#inference-performance-nvidia-t4
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#fine-tuning-inference-on-nvidia-t4
Quick Start Guide	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#quick-start-guide
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#release-notes
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#changelog
	https://github.com/mopshell/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA#known-issues
	https://github.com
Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
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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