用官方JSON微调完后输出的目录为空，没有文件，是怎么一回事呢，谢谢

[heiheiheibj]

python finetune.py --model_name_or_path /mnt/k/Qwen2/Qwen2-1.5B-Instruct --data_path example_data.jsonl --bf16 False --output_dir output_qwen --num_train_epochs 5 --per_device_train_batch_size 2 --per_device_eval_batch_size 1 --gradient_accumulation_steps 8 --evaluation_strategy "no" --save_strategy "steps" --save_steps 10 --save_total_limit 10 --learning_rate 3e-4 --weight_decay 0.01 --adam_beta2 0.95 --warmup_ratio 0.01 --lr_scheduler_type "cosine" --logging_steps 1 --report_to "none" --model_max_length 512 --lazy_preprocess True --use_lora False --q_lora False --gradient_checkpointing --deepspeed ds_config_zero3.json

[2024-07-04 02:10:17,055] [WARNING] [real_accelerator.py:162:get_accelerator] Setting accelerator to CPU. If you have GPU or other accelerator, we were unable to detect it. [2024-07-04 02:10:17,071] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cpu (auto detect) /root/anaconda3/envs/qanything/lib/python3.10/site-packages/transformers/deepspeed.py:24: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations warnings.warn( /root/anaconda3/envs/qanything/lib/python3.10/site-packages/transformers/training_args.py:1494: FutureWarning: evaluation_strategy is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use eval_strategy instead warnings.warn( model_args= /mnt/k/Qwen2/Qwen2-1.5B-Instruct [2024-07-04 02:10:25,681] [INFO] [comm.py:637:init_distributed] cdb=None [2024-07-04 02:10:25,682] [INFO] [comm.py:652:init_distributed] Not using the DeepSpeed or dist launchers, attempting to detect MPI environment... [2024-07-04 02:10:25,749] [INFO] [comm.py:702:mpi_discovery] Discovered MPI settings of world_rank=0, local_rank=0, world_size=1, master_addr=172.24.252.210, master_port=29500 [2024-07-04 02:10:25,749] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend gloo Using /root/.cache/torch_extensions/py310_cu121 as PyTorch extensions root... Emitting ninja build file /root/.cache/torch_extensions/py310_cu121/deepspeed_shm_comm/build.ninja... Building extension module deepspeed_shm_comm... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) ninja: no work to do. Loading extension module deepspeed_shm_comm... Time to load deepspeed_shm_comm op: 0.11154341697692871 seconds DeepSpeed deepspeed.ops.comm.deepspeed_shm_comm_op built successfully [2024-07-04 02:10:27,630] [INFO] [partition_parameters.py:345:exit] finished initializing model - num_params = 339, num_elems = 1.78B Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. Loading data... Formatting inputs...Skip in lazy mode Using /root/.cache/torch_extensions/py310_cu121 as PyTorch extensions root... Emitting ninja build file /root/.cache/torch_extensions/py310_cu121/fused_adam/build.ninja... Building extension module fused_adam... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) ninja: no work to do. Loading extension module fused_adam... Time to load fused_adam op: 2.466430902481079 seconds Parameter Offload: Total persistent parameters: 144896 in 141 params Killed

output_qwen 目录有创建，但里面没有内容 谢谢