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set -x |
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nnodes=1 |
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num_gpus=8 |
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DATA_ROOT='/apdcephfs/share_300280959/bojoli' |
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DATA_PATH=${DATA_ROOT}/llava-pretrain/blip_laion_cc_sbu_558k.json |
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IMAGE_FOLDER=${DATA_ROOT}/llava-pretrain/images |
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VISION_TOWER_NAME='clip-vit-large-patch14-336' |
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MODEL_NAME='vicuna-7b-1.5' |
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VISION_TOWER=${DATA_ROOT}/${VISION_TOWER_NAME} |
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MODEL_PATH=${DATA_ROOT}/${MODEL_NAME} |
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RUN_NAME='mmpe'_${MODEL_NAME}'_'${VISION_TOWER_NAME} |
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deepspeed --num_nodes ${nnodes} --num_gpus ${num_gpus} --master_port=10270 llava/train/train_mem.py \ |
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--deepspeed ./scripts/zero2.json \ |
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--model_name_or_path ${MODEL_PATH} \ |
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--version plain \ |
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--data_path ${DATA_PATH} \ |
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--image_folder ${IMAGE_FOLDER} \ |
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--vision_tower ${VISION_TOWER} \ |
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--mm_projector_type mlp2x_gelu \ |
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--tune_mm_mlp_adapter True \ |
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--unfreeze_mm_vision_tower False \ |
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--mm_vision_select_layer -2 \ |
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--mm_use_im_start_end False \ |
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--mm_use_im_patch_token False \ |
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--mm_patch_merge_type spatial_unpad \ |
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--image_aspect_ratio anyres \ |
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--group_by_modality_length False \ |
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--bf16 True \ |
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--output_dir ./checkpoints/${RUN_NAME} \ |
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--num_train_epochs 1 \ |
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--per_device_train_batch_size 8 \ |
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--per_device_eval_batch_size 4 \ |
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--gradient_accumulation_steps 4 \ |
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--evaluation_strategy "no" \ |
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--use_mmpe True \ |
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--save_strategy "steps" \ |
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--save_steps 24000 \ |
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--save_total_limit 1 \ |
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--learning_rate 1e-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 4096 \ |
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--gradient_checkpointing True \ |
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--dataloader_num_workers 4 \ |
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--lazy_preprocess True \ |
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--report_to wandb \ |
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--run_name ${RUN_NAME} |
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