Update README.md
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README.md
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@@ -79,7 +79,7 @@ All models were trained with a global batch size of 81920 for 64 checkpoint inte
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For 256x256 models, a slurm script w/ srun below was used on 20 8-GPU nodes (Stability), switching to 40 4-GPU nodes for time on JUWELS.
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```
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/opt/slurm/sbin/srun --
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--save-frequency 1 \
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--name "convnext_256" \
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--resume 'latest' \
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For 256x256 models, a slurm script w/ srun below was used on 20 8-GPU nodes (Stability), switching to 40 4-GPU nodes for time on JUWELS.
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```
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/opt/slurm/sbin/srun --cpu_bind=v --accel-bind=gn python -m training.main \
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--save-frequency 1 \
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--name "convnext_256" \
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--resume 'latest' \
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