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48 lines
1.2 KiB
48 lines
1.2 KiB
#!/bin/bash
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# NCCL IB environment variables
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export NCCL_IB_HCA=mlx5_1:1,mlx5_2:1,mlx5_3:1,mlx5_4:1
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export NCCL_IB_DISABLE=0
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export NCCL_SOCKET_IFNAME=eth0
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export NCCL_IB_GID_INDEX=3
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export NCCL_IB_TIMEOUT=23
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export NCCL_IB_RETRY_CNT=7
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export OMP_NUM_THREADS=8
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PROJECT_NAME=""
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PARENT_SAVE_DIR=""
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PARENT_TENSORBOARD_DIR=""
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PARENT_CONFIG_FILE=""
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PRETRAINED_MODEL_PATH=""
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declare -a dataset=(
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"PATH TO THE DATASET"
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)
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TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
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FULL_PROJECT_NAME="${PROJECT_NAME}-${TIMESTAMP}"
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SAVE_DIR="${PARENT_SAVE_DIR}${FULL_PROJECT_NAME}"
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TENSORBOARD_DIR="${PARENT_TENSORBOARD_DIR}${FULL_PROJECT_NAME}"
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CONFIG_FILE="${PARENT_CONFIG_FILE}${FULL_PROJECT_NAME}.json"
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colossalai run --nproc_per_node 8 --hostfile hostfile --master_port 30013 train.py \
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--pretrained $PRETRAINED_MODEL_PATH \
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--dataset ${dataset[@]} \
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--plugin "zero2" \
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--save_interval 400 \
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--save_dir $SAVE_DIR \
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--tensorboard_dir $TENSORBOARD_DIR \
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--config_file $CONFIG_FILE \
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--num_epochs 1 \
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--accumulation_steps 8 \
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--micro_batch_size 8 \
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--lr 5e-5 \
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--mixed_precision "bf16" \
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--grad_clip 1.0 \
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--weight_decay 0.01 \
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--warmup_steps 100 \
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--use_grad_checkpoint \
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--use_flash_attn \
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--use_neft \
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--pad_token "eos"
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