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# If not using flash_attn, or transformers<4.44,
# or encountering an abnormally large loss (i.e., the model does not support packing),
# please remove `--packing true`.
nproc_per_node=4
NPROC_PER_NODE=$nproc_per_node \
CUDA_VISIBLE_DEVICES=0,1,2,3 \
swift pt \
--model Qwen/Qwen2.5-7B \
--train_type full \
--dataset swift/chinese-c4 \
--torch_dtype bfloat16 \
--streaming true \
--per_device_train_batch_size 1 \
--per_device_eval_batch_size 1 \
--learning_rate 1e-5 \
--gradient_accumulation_steps $(expr 64 / $nproc_per_node) \
--packing true \
--eval_steps 500 \
--save_steps 500 \
--save_total_limit 2 \
--logging_steps 5 \
--deepspeed zero3 \
--max_length 8192 \
--max_steps 10000 \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--dataset_num_proc 8 \
--save_only_model true \
--output_dir output/Qwen2.5-7B \
--attn_impl flash_attn
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