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update notes for training slowdown #79

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update notes for training slowdown #79

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -178,6 +178,8 @@ torchrun --nproc_per_node=4 --master_port=<your_random_port> train.py \
Note the given training script is meant to be simple and easy to use, and is not particularly optimized.
To run on more gpus, you may prefer to turn down `gradient_accumulation_steps` to keep a global batch size of 128. Global batch size has not been tested for optimality.

In case of a slowdown during multi-A100 training, please consider changing `--fsdp` from `"full_shard auto_wrap"` to `"shard_grad_op auto_wrap"`.

### Authors
All grad students below contributed equally and the order is determined by random draw.

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