wehub-resource-sync
34 lines
1.0 KiB
Bash
34 lines
1.0 KiB
Bash
# test env: 4 * A100
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# Using use_liger_kernel and packing: 4 * 42GB, 1 hour 35 minutes
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# Not using use_liger_kernel: 4 * 54GB, 1 hour 40 minutes
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# Not using use_liger_kernel and packing: 4 * 52GB, 3 hours 30 minutes
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NPROC_PER_NODE=4 \
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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swift sft \
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--model Qwen/Qwen2.5-7B \
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--tuner_type full \
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--dataset 'liucong/Chinese-DeepSeek-R1-Distill-data-110k-SFT#10000' \
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--load_from_cache_file true \
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--split_dataset_ratio 0.01 \
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--torch_dtype bfloat16 \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 1 \
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--learning_rate 1e-5 \
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--num_train_epochs 5 \
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--gradient_accumulation_steps 2 \
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--eval_steps 100 \
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--save_steps 100 \
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--logging_steps 5 \
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--max_length 8192 \
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--warmup_ratio 0.05 \
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--dataloader_num_workers 8 \
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--dataset_num_proc 8 \
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--save_total_limit 2 \
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--save_only_model true \
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--output_dir output/Qwen2.5-7B \
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--deepspeed zero3 \
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--attn_impl flash_attn \
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--packing true \
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--use_liger_kernel true
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