wehub-resource-sync
36 lines
1.0 KiB
Bash
36 lines
1.0 KiB
Bash
# test_env: 4 * H20
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# fa2: 4 * 43GiB; 35.5s/it
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# fa3: 4 * 43GiB; 32.4s/it
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# https://github.com/Dao-AILab/flash-attention/tree/main#flashattention-3-beta-release
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# pip install "transformers==4.53.*"
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PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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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 'AI-ModelScope/LongAlpaca-12k' \
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--load_from_cache_file true \
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--attn_impl flash_attention_3 \
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--num_train_epochs 3 \
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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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--gradient_accumulation_steps 4 \
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--packing true \
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--eval_steps 200 \
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--save_steps 200 \
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--logging_steps 5 \
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--max_length 16384 \
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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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--use_liger_kernel true
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