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NPROC_PER_NODE=2 \
swift sft \
--model Qwen/Qwen2.5-0.5B \
--tuner_type lora \
--dataset 'DAMO_NLP/jd:cls#2000' \
--load_from_cache_file true \
--split_dataset_ratio 0.01 \
--torch_dtype bfloat16 \
--num_train_epochs 1 \
--per_device_train_batch_size 1 \
--per_device_eval_batch_size 1 \
--learning_rate 1e-4 \
--lora_rank 8 \
--lora_alpha 32 \
--target_modules all-linear \
--gradient_accumulation_steps 16 \
--eval_steps 50 \
--save_steps 50 \
--save_total_limit 2 \
--logging_steps 5 \
--max_length 2048 \
--output_dir output \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--num_labels 2 \
--task_type seq_cls \
--use_chat_template false \
--sequence_parallel_size 2 \
--padding_free true \
--attn_impl flash_attn
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