examples/train/pretrain/train.sh

# 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