LLaVA: [Usage] tokenization mismatch when finetuning v1.5-7b

Describe the issue

Issue: I have found some threads reporting the tokenization mismatch problem, but I am still confused. I download the v1.5-7b weight from https://huggingface.co/liuhaotian/llava-v1.5-7b/tree/main , and finetune on datasets in the paper. I adapt the command line to make it run on V100. tokenizers.version == ‘0.14.1’

Command:

WANDB_MODE=disabled deepspeed llava/train/train.py \
    --deepspeed ./scripts/zero3.json \
    --model_name_or_path /path/to/llm_weights/llava-v1.5-7b \
    --version v1 \
    --data_path ./playground/data/llava_v1_5_mix665k.json \
    --image_folder ./playground/data \
    --vision_tower /path/to/llm_weights/clip-vit-large-patch14-336 \
    --pretrain_mm_mlp_adapter /path/to/llm_weights/llava-v1.5-7b/mm_projector.bin \
    --mm_projector_type mlp2x_gelu \
    --mm_vision_select_layer -2 \
    --mm_use_im_start_end False \
    --mm_use_im_patch_token False \
    --image_aspect_ratio pad \
    --group_by_modality_length True \
    --bf16 False \
    --fp16 True \
    --output_dir ./checkpoints/llava-v1.5-7b \
    --num_train_epochs 1 \
    --per_device_train_batch_size 2 \
    --per_device_eval_batch_size 4 \
    --gradient_accumulation_steps 1 \
    --evaluation_strategy "no" \
    --save_strategy "steps" \
    --save_steps 50000 \
    --save_total_limit 1 \
    --learning_rate 2e-5 \
    --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 \

Screenshots: