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Update 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 --comment laion --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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  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' \