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Running
on
T4
Running
on
T4
| # Uncomment and set the following variables correspondingly to run this script: | |
| # MODEL_VERSION=vicuna-v1-3-7b | |
| # MODEL_VERSION=llama-2-7b-chat | |
| ########### DO NOT CHANGE ########### | |
| ########### USE THIS FOR BOTH ########### | |
| PROMPT_VERSION=plain | |
| ########### DO NOT CHANGE ########### | |
| deepspeed llava/train/train_mem.py \ | |
| --deepspeed ./scripts/zero2.json \ | |
| --model_name_or_path ./checkpoints/$MODEL_VERSION \ | |
| --version $PROMPT_VERSION \ | |
| --data_path /path/to/pretrain_data.json \ | |
| --image_folder /path/to/images \ | |
| --vision_tower openai/clip-vit-large-patch14 \ | |
| --tune_mm_mlp_adapter True \ | |
| --mm_vision_select_layer -2 \ | |
| --mm_use_im_start_end False \ | |
| --mm_use_im_patch_token False \ | |
| --bf16 True \ | |
| --output_dir ./checkpoints/llava-$MODEL_VERSION-pretrain \ | |
| --num_train_epochs 1 \ | |
| --per_device_train_batch_size 16 \ | |
| --per_device_eval_batch_size 4 \ | |
| --gradient_accumulation_steps 1 \ | |
| --evaluation_strategy "no" \ | |
| --save_strategy "steps" \ | |
| --save_steps 24000 \ | |
| --save_total_limit 1 \ | |
| --learning_rate 2e-3 \ | |
| --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 | |