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#!/bin/bash
################## VICUNA ##################
PROMPT_VERSION=v1
MODEL_VERSION="vicuna-v1-3-7b"
################## VICUNA ##################
deepspeed llava/train/train_mem_search.py \
--deepspeed ./scripts/zero2.json \
--model_name_or_path lmsys/vicuna-7b-v1.3 \
--version $PROMPT_VERSION \
--data_path /path/to/seal_vqa_data \
--image_folder /path/to/data \
--vision_tower openai/clip-vit-large-patch14 \
--mm_projector_type linear \
--object_mm_projector_type perceiver \
--pretrain_mm_mlp_adapter ./checkpoints/llava-$MODEL_VERSION-linear-pretrain/mm_projector.bin \
--pretrain_mm_perceiver_adapter ./checkpoints/llava-$MODEL_VERSION-resampler-pretrain/mm_projector.bin \
--mm_vision_select_layer -2 \
--mm_use_im_start_end False \
--mm_use_im_patch_token False \
--image_aspect_ratio pad \
--bf16 True \
--output_dir ./checkpoints/seal_vqa_7b \
--num_train_epochs 2 \
--per_device_train_batch_size 16 \
--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 True \
--model_max_length 2048 \
--gradient_checkpointing True \
--dataloader_num_workers 4 \
--lazy_preprocess True \
--report_to wandb
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