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Reverting config to existing
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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@ -91,7 +91,7 @@ wait $DATASET_DOWNLOAD_PID
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NPROC_PER_NODE=8
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# pretrain the d20 model
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torchrun --standalone --nproc_per_node=$NPROC_PER_NODE -m scripts.base_train -- --depth=24 --target-param-data-ratio=12 --device-batch-size=16 --run=$WANDB_RUN
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torchrun --standalone --nproc_per_node=$NPROC_PER_NODE -m scripts.base_train -- --depth=20 --target-param-data-ratio=20 --run=$WANDB_RUN
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# evaluate the model on a larger chunk of train/val data and draw some samples
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torchrun --standalone --nproc_per_node=$NPROC_PER_NODE -m scripts.base_loss
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# evaluate the model on CORE tasks
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