微调后的模型无法输出特殊token

[THUchenzhou]

任务：使用大模型做简单的文本二分类。
使用如下命令添加special_tokens，微调qwen
CUDA_VISIBLE_DEVICES=0,1 llamafactory-cli train examples/train_lora/qwen2_special_token.yaml

model_name_or_path: /data/Qwen/Qwen2.5-0.5B-Instruct

stage: sft
do_train: true
finetuning_type: lora
lora_target: all
deepspeed: examples/deepspeed/ds_z0_config.json
lora_rank: 16
lora_alpha: 32

dataset: special_token
template: qwen
cutoff_len: 4096
overwrite_cache: true
preprocessing_num_workers: 16

output_dir: saves/lora/sft/12_general/qwen25-0.5b/tag_15761_wo_lora_16_lr_500_special_token
logging_steps: 10
save_steps: 6000
plot_loss: true
overwrite_output_dir: true

per_device_train_batch_size: 4
gradient_accumulation_steps: 1
learning_rate: 5.00e-4
num_train_epochs: 1
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: true
ddp_timeout: 180000000
new_special_tokens: "<|LABEL_0|>,<|LABEL_1|>"
resize_vocab: true
additional_target: embed_tokens,lm_head

启动服务CUDA_VISIBLE_DEVICES=0 API_PORT=8000 llamafactory-cli api examples/inference/qwen2.yaml，文件内容如下：

model_name_or_path:/data/Qwen/Qwen2.5-0.5B-Instruct
adapter_name_or_path: saves/lora/sft/12_general/qwen25-0.5b/tag_15761_wo_lora_16_lr_500_special_token
template: qwen
finetuning_type: lora

问题：
启动服务后，请求微调后的模型，无法输出新添加的特殊token。请问是训练参数设置错误，还是启动服务的方式错误？

[hiyouga]

添加参数 skip_special_tokens: true