51 lines
1.6 KiB
Bash
51 lines
1.6 KiB
Bash
#!/bin/bash
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# IMPORTANT: this is the training script for the original LLaVA, NOT FOR LLaVA V1.5!
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# Uncomment and set the following variables correspondingly to run this script:
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################## VICUNA ##################
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# PROMPT_VERSION=v1
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# MODEL_VERSION="vicuna-v1-3-7b"
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################## VICUNA ##################
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################## LLaMA-2 ##################
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# PROMPT_VERSION="llava_llama_2"
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# MODEL_VERSION="llama-2-7b-chat"
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################## LLaMA-2 ##################
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deepspeed llava/train/train_mem.py \
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--deepspeed ./scripts/zero2.json \
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--lora_enable True \
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--bits 4 \
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--model_name_or_path ./checkpoints/$MODEL_VERSION \
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--version $PROMPT_VERSION \
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--data_path ./playground/data/llava_instruct_80k.json \
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--image_folder /path/to/coco/train2017 \
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--vision_tower openai/clip-vit-large-patch14 \
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--pretrain_mm_mlp_adapter ./checkpoints/llava-$MODEL_VERSION-pretrain/mm_projector.bin \
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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-finetune_lora \
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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 50000 \
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--save_total_limit 1 \
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--learning_rate 2e-5 \
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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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--lazy_preprocess True \
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--dataloader_num_workers 4 \
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--report_to wandb
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