tokenization mismatch

[Wondersui]

WARNING: tokenization mismatch: 542 vs. 533. (ignored)
WARNING: tokenization mismatch: 295 vs. 291. (ignored)
WARNING: tokenization mismatch: 378 vs. 372. (ignored)
WARNING: tokenization mismatch: 193 vs. 187. (ignored)
WARNING: tokenization mismatch: 543 vs. 534. (ignored)
WARNING: tokenization mismatch: 148 vs. 144. (ignored)
WARNING: tokenization mismatch: 561 vs. 552. (ignored)
WARNING: tokenization mismatch: 430 vs. 426. (ignored)

when I try to finetune bunny-phi3，the warning will appear and I am not sure the warning whether affect the training result.

this is my training scripts:

#!/bin/bash

MODEL_TYPE=phi-3

OUTPUT_DIR=bunny-lora-$MODEL_TYPE

mkdir -p ./bunny/checkpoints-$MODEL_TYPE/$OUTPUT_DIR

deepspeed bunny/train/train.py \
    --lora_enable True --lora_r 128 --lora_alpha 256 --mm_projector_lr 2e-5 \
    --deepspeed ./script/deepspeed/zero3.json \
    --model_name_or_path ./bunny/base_model/Bunny-v1_0-4B \
    --model_type $MODEL_TYPE \
    --version bunny \
    --data_path ./Bunny-v1_0-data/finetune/bunny_695k.json \
    --image_folder ./bunny_data/Bunny-v1_0-data/finetune/images \
    --vision_tower ./bunny/base_model/siglip-so400m-patch14-384 \
    --mm_projector_type mlp2x_gelu \
    --image_aspect_ratio pad \
    --group_by_modality_length False \
    --bf16 False \
    --fp16 True \
    --output_dir ./bunny/checkpoints-$MODEL_TYPE/$OUTPUT_DIR \
    --num_train_epochs 1 \
    --per_device_train_batch_size 4 \
    --per_device_eval_batch_size 4 \
    --gradient_accumulation_steps 4 \
    --evaluation_strategy "no" \
    --save_strategy "steps" \
    --save_steps 500 \
    --save_total_limit 1 \
    --learning_rate 2e-4 \
    --weight_decay 0. \
    --warmup_ratio 0.03 \
    --lr_scheduler_type "cosine" \
    --logging_steps 1 \
    --tf32 False \
    --model_max_length 2048 \
    --gradient_checkpointing True \
    --dataloader_num_workers 4 \
    --lazy_preprocess True \
    --report_to none | tee 2>&1 

[Isaachhh]

--version phi3