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README.md
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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<!-- Provide a quick summary of what the model is/does. -->
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echo "Starting LoRA fine-tuning..."
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deepspeed LLaVA/llava/train/train_mem.py \
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--lora_enable True --lora_r 128 --lora_alpha 256 --mm_projector_lr 2e-5 \
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--deepspeed ./LLaVA/scripts/zero3.json \
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--model_name_or_path liuhaotian/llava-v1.5-7b \
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--version v1 \
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--data_path "${output_dir}/processed_dataset_correct_path.json" \
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--image_folder "${image_dir}" \
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--vision_tower openai/clip-vit-large-patch14-336 \
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--mm_projector_type mlp2x_gelu \
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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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--image_aspect_ratio pad \
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--group_by_modality_length True \
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--bf16 True \
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--output_dir "${output_dir}/checkpoints/${model_name}" \
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--num_train_epochs 1 \
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--per_device_train_batch_size 2 \
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--per_device_eval_batch_size 2 \
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--gradient_accumulation_steps 5 \
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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-6 \
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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 1 \
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--lazy_preprocess True
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## Model Details
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