39 lines
1.1 KiB
Bash
39 lines
1.1 KiB
Bash
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#!/bin/bash
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MODEL_PATH="/model/BitCPM-CANN-1B-unquantized"
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DATA_PATH="/dataset/c4-pro/data/000_1_7.parquet"
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OUTPUT_DIR="./output"
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DS_CONFIG="./ds_config_z2.json"
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NUM_GPUS=8
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BATCH_SIZE_PER_GPU=8
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GRAD_ACCUM_STEPS=8
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MAX_SEQ_LENGTH=1024
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export ASCEND_RT_VISIBLE_DEVICES=8,9,10,11,12,13,14,15
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export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
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export DS_SKIP_CUDA_CHECK=1
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torchrun --nproc_per_node=$NUM_GPUS train.py \
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--model_name_or_path $MODEL_PATH \
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--data_path $DATA_PATH \
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--max_seq_length $MAX_SEQ_LENGTH \
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--output_dir $OUTPUT_DIR \
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--per_device_train_batch_size $BATCH_SIZE_PER_GPU \
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--gradient_accumulation_steps $GRAD_ACCUM_STEPS \
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--max_steps 100 \
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--learning_rate 4e-5 \
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--lr_scheduler_type cosine \
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--warmup_ratio 0.1 \
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--weight_decay 1e-2 \
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--logging_steps 2 \
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--save_steps 500 \
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--save_total_limit 3 \
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--bf16 \
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--deepspeed $DS_CONFIG \
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--gradient_checkpointing \
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--seed 42 \
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--dataloader_num_workers 4 \
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--report_to tensorboard \
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--logging_dir /data/tensorboard/pretrain \
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--gradient_checkpointing_kwargs '{"use_reentrant": false}'
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