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#!/bin/bash
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# Uncomment and set the following variables correspondingly to run this script:
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# MODEL_VERSION=vicuna-v1-3-7b
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# MODEL_VERSION=llama-2-7b-chat
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########### DO NOT CHANGE ###########
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########### USE THIS FOR BOTH ###########
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PROMPT_VERSION=plain
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########### DO NOT CHANGE ###########
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deepspeed llava/train/train_mem.py \
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--deepspeed ./scripts/zero2.json \
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--model_name_or_path ./checkpoints/$MODEL_VERSION \
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--version $PROMPT_VERSION \
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--data_path /path/to/pretrain_data.json \
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--image_folder /path/to/images \
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--vision_tower openai/clip-vit-large-patch14 \
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--tune_mm_mlp_adapter True \
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--mm_vision_select_layer -2 \
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--mm_use_im_start_end False \
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--mm_use_im_patch_token False \
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--bf16 True \
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--output_dir ./checkpoints/llava-$MODEL_VERSION-pretrain \
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--num_train_epochs 1 \
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--per_device_train_batch_size 16 \
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--per_device_eval_batch_size 4 \
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--gradient_accumulation_steps 1 \
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--evaluation_strategy "no" \
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--save_strategy "steps" \
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--save_steps 24000 \
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--learning_rate 2e-3 \
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--weight_decay 0. \
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--warmup_ratio 0.03 \
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--lr_scheduler_type "cosine" \
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--logging_steps 1 \
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--tf32 True \
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--model_max_length 2048 \
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--gradient_checkpointing True \
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--dataloader_num_workers 16 \
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--lazy_preprocess True \
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--report_to wandb
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