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A script for training the ConvNextV2 on CIFAR10 dataset using the FSDP technique for a distributed training scheme.

Python 100.00%
convnext convnextv2 deep-learning distributed distributed-computing distributed-learning distributed-training fsdp fully-sharded-data-parallel pytorch

fsdp-distributed-training-of-convnextv2-on-cifar10's Introduction

FSDP Distributed Training of ConvNextV2 on CIFAR10

A script for training the ConvNextV2 on CIFAR10 dataset using the FSDP technique for a distributed training scheme. You can run the script using the torchrun with the run.py file, i.e.: torchrun --nnodes 1 --nproc_per_node 2 run.py

run.py script arguments include:

--batch-size
--epochs
--lr
--gamma
--no-cuda
--seed
--run_validation
--save-model

Additional info for the arguments can be seen using the --help argument.

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