Tim Isbister timpal0l

## download_glue_data.py
''' Script for downloading all GLUE data.

Note: for legal reasons, we are unable to host MRPC.
You can either use the version hosted by the SentEval team, which is already tokenized,
or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually.
For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example).
You should then rename and place specific files in a folder (see below for an example).

mkdir MRPC
cabextract MSRParaphraseCorpus.msi -d MRPC

## ddp_notes.md

      
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                TengdaHan
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              July 16, 2024 19:17
            
              
                Multi-node-training on slurm with PyTorch
              
          
    Multi-node-training on slurm with PyTorch

What's this?


A simple note for how to start multi-node-training on slurm scheduler with PyTorch.
Useful especially when scheduler is too busy that you cannot get multiple GPUs allocated,
or you need more than 4 GPUs for a single job.
Requirement: Have to use PyTorch DistributedDataParallel(DDP) for this purpose.
Warning: might need to re-factor your own code.
Warning: might be secretly condemned by your colleagues because using too many GPUs.
	''' Script for downloading all GLUE data.

	Note: for legal reasons, we are unable to host MRPC.
	You can either use the version hosted by the SentEval team, which is already tokenized,
	or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually.
	For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example).
	You should then rename and place specific files in a folder (see below for an example).

	mkdir MRPC
	cabextract MSRParaphraseCorpus.msi -d MRPC