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Title: GitHub - argonne-lcf/Megatron-DeepSpeed: Ongoing research training transformer language models at scale, including: BERT & GPT-2

Open Graph Title: GitHub - argonne-lcf/Megatron-DeepSpeed: Ongoing research training transformer language models at scale, including: BERT & GPT-2

X Title: GitHub - argonne-lcf/Megatron-DeepSpeed: Ongoing research training transformer language models at scale, including: BERT & GPT-2

Description: Ongoing research training transformer language models at scale, including: BERT & GPT-2 - argonne-lcf/Megatron-DeepSpeed

Open Graph Description: Ongoing research training transformer language models at scale, including: BERT & GPT-2 - argonne-lcf/Megatron-DeepSpeed

X Description: Ongoing research training transformer language models at scale, including: BERT & GPT-2 - argonne-lcf/Megatron-DeepSpeed

Opengraph URL: https://github.com/argonne-lcf/Megatron-DeepSpeed

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#recent-sync-with-nvidiamegatron-lm
backup branchhttps://github.com/microsoft/Megatron-DeepSpeed/tree/before_rebase
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#run-on-azure-and-azureml
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#below-is-megatron-lms-original-readme-note-that-examples-mentioned-below-are-from-the-original-nvidiamegatron-lm-repo-all-of-them-do-not-have-deepspeed-technologies-integrations-and-some-of-them-may-not-work-due-to-changes-in-this-megatron-deepspeed-repo-thus-we-recommend-you-to-go-to-examples_deepspeed-folder-which-includes-examples-that-have-deepspeed-technologies-integrated-and-are-tested-by-deepspeed-team
1https://arxiv.org/pdf/1909.08053.pdf
2https://arxiv.org/pdf/2104.04473.pdf
3https://arxiv.org/pdf/2205.05198
tensorhttps://arxiv.org/pdf/1909.08053.pdf
sequencehttps://arxiv.org/pdf/2205.05198
pipelinehttps://arxiv.org/pdf/2104.04473.pdf
GPThttps://arxiv.org/abs/2005.14165
BERThttps://arxiv.org/pdf/1810.04805.pdf
T5https://arxiv.org/abs/1910.10683
BERT and GPT Studies Using Megatronhttps://arxiv.org/pdf/1909.08053.pdf
BioMegatron: Larger Biomedical Domain Language Modelhttps://www.aclweb.org/anthology/2020.emnlp-main.379.pdf
End-to-End Training of Neural Retrievers for Open-Domain Question Answeringhttps://arxiv.org/abs/2101.00408
Large Scale Multi-Actor Generative Dialog Modelinghttps://www.aclweb.org/anthology/2020.acl-main.8.pdf
Local Knowledge Powered Conversational Agentshttps://arxiv.org/abs/2010.10150
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Modelshttps://www.aclweb.org/anthology/2020.emnlp-main.226.pdf
RACE Reading Comprehension Dataset Leaderboardhttp://www.qizhexie.com/data/RACE_leaderboard.html
Training Question Answering Models From Synthetic Datahttps://www.aclweb.org/anthology/2020.emnlp-main.468.pdf
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biaseshttps://arxiv.org/abs/2112.07868
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Modelshttps://arxiv.org/abs/2202.04173
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Modelhttps://arxiv.org/abs/2201.11990
Multi-Stage Prompting for Knowledgeable Dialogue Generationhttps://arxiv.org/abs/2203.08745
NeMo Megatronhttps://developer.nvidia.com/nvidia-nemo#nemo-megatron
NVIDIA's Selene supercomputerhttps://www.top500.org/system/179842/
A100https://www.nvidia.com/en-us/data-center/a100/
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/images/Achieved_petaFLOPs.png
our paperhttps://arxiv.org/pdf/2205.05198
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#contents
Contentshttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#contents
Setuphttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#setup
Downloading Checkpointshttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#downloading-checkpoints
Usagehttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#usage
Traininghttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#training
Data Preprocessinghttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#data-preprocessing
BERT Pretraininghttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#bert-pretraining
GPT Pretraininghttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#gpt-pretraining
T5 Pretraininghttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#t5-pretraining
Distributed Pretraininghttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#distributed-pretraining
Activation Checkpointing and Recomputationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#activation-checkpointing-and-recomputation
Distributed Optimizerhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#distributed-optimizer
FlashAttentionhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#flashattention
GPT-3 Examplehttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#gpt-3-example
Retrohttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#retro
Evaluation and Taskshttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#evaluation-and-tasks
GPT Text Generationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#gpt-text-generation
GPT Evaluationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#gpt-evaluation
WikiText Perplexity Evaluationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#wikitext-perplexity-evaluation
LAMBADA Cloze Accuracyhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#lambada-cloze-accuracy
BERT Task Evaluationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#bert-task-evaluation
RACE Evaluationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#race-evaluation
MNLI Evaluationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#mnli-evaluation
Datasetshttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#datasets
Collecting Wikipedia Training Datahttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#collecting-wikipedia-training-data
Collecting GPT Webtext Datahttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#collecting-gpt-webtext-data
Reproducibilityhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#reproducibility
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#setup
NGC's PyTorch containerhttps://ngc.nvidia.com/catalog/containers/nvidia:pytorch
APEXhttps://github.com/NVIDIA/apex#quick-start
NLTKhttps://www.nltk.org/install.html
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#downloading-checkpoints
BERT-345Mhttps://ngc.nvidia.com/catalog/models/nvidia:megatron_bert_345m
GPT-345Mhttps://ngc.nvidia.com/catalog/models/nvidia:megatron_lm_345m
sign uphttps://ngc.nvidia.com/signup
setuphttps://ngc.nvidia.com/setup/installers/cli
NGC documentationhttps://docs.nvidia.com/dgx/ngc-registry-cli-user-guide/index.html#topic_6_4_1
uncasedhttps://s3.amazonaws.com/models.huggingface.co/bert/bert-large-uncased-vocab.txt
casedhttps://s3.amazonaws.com/models.huggingface.co/bert/bert-large-cased-vocab.txt
vocab filehttps://s3.amazonaws.com/models.huggingface.co/bert/gpt2-vocab.json
merge tablehttps://s3.amazonaws.com/models.huggingface.co/bert/gpt2-merges.txt
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#usage
exampleshttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/examples
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#training
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#data-preprocessing
preprocess_data.pyhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/tools/preprocess_data.py
preprocess_data.pyhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/tools/preprocess_data.py
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#bert-pretraining
examples/pretrain_bert.shhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/examples/pretrain_bert.sh
arguments.pyhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/megatron/arguments.py
Setuphttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#setup
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#gpt-pretraining
arguments.pyhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/megatron/arguments.py
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#t5-pretraining
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#distributed-pretraining
documentationhttps://pytorch.org/docs/stable/elastic/run.html#launcher-api
environment variableshttps://pytorch.org/docs/stable/distributed.html#environment-variable-initialization
ncclhttps://developer.nvidia.com/nccl
our paperhttps://arxiv.org/pdf/1909.08053.pdf
our paperhttps://arxiv.org/pdf/2205.05198.pdf
our paperhttps://arxiv.org/pdf/2104.04473.pdf
our paperhttps://arxiv.org/pdf/2104.04473.pdf
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#activation-checkpointing-and-recomputation
our paperhttps://arxiv.org/pdf/2205.05198
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#distributed-optimizer
ZeRO: Memory Optimizations Toward Training Trillion Parameter Modelshttps://arxiv.org/abs/1910.02054
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#flashattention
FlashAttentionhttps://github.com/HazyResearch/flash-attention
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#gpt-3-example
GPT-3https://arxiv.org/abs/2005.14165
slurmhttps://slurm.schedmd.com/documentation.html
pyxishttps://github.com/NVIDIA/pyxis
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#retro
Improving language models by retrieving from trillions of tokenshttps://arxiv.org/abs/2112.04426
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#evaluation-and-tasks
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#gpt-text-generation
examples/run_text_generation_server_345M.shhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/examples/run_text_generation_server_345M.sh
megatron/text_generation_server.pyhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/megatron/text_generation_server.py
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#detoxify-gpt-via-self-generation
examples/detxoify_lm/README.mdhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/examples/detxoify_lm/README.md
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#gpt-evaluation
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#wikitext-perplexity-evaluation
WikiText-103 test datasethttps://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-v1.zip
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#lambada-cloze-accuracy
LAMBADA datasethttps://github.com/cybertronai/bflm/blob/master/lambada_test.jsonl
WikiText Perplexity Evaluationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#wikitext-perplexity-evaluation
main.pyhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/tasks/main.py
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#bert-task-evaluation
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#race-evaluation
RACE datasethttp://www.cs.cmu.edu/~glai1/data/race/
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#mnli-evaluation
MultiNLI sentence pair corpushttps://www.nyu.edu/projects/bowman/multinli/
Quora Question Pairshttps://www.kaggle.com/quora/question-pairs-dataset
RACE Evaluationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#race-evaluation
RACE Evaluationhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#race-evaluation
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#datasets
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#collecting-wikipedia-training-data
the latest dumphttps://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles.xml.bz2
WikiExtractor.pyhttps://github.com/attardi/wikiextractor
abovehttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#data-preprocessing
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#collecting-gpt-webtext-data
OpenWebTexthttps://github.com/eukaryote31/openwebtext
jcpetersonhttps://github.com/jcpeterson/openwebtext
eukaryote31'shttps://github.com/eukaryote31/openwebtext
openwebtexthttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/blob/main/tools/openwebtext
https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#reproducibility
Readme https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#readme-ov-file
View license https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#License-1-ov-file
Security policy https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed#security-ov-file
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Activityhttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/activity
Custom propertieshttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/custom-properties
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1 watchinghttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/watchers
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Releaseshttps://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/releases
10 tags https://patch-diff.githubusercontent.com/argonne-lcf/Megatron-DeepSpeed/tags
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