File size: 1,528 Bytes
0014463 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | #!/bin/bash
deepspeed llava/train/train_mem.py \
--lora_enable True --lora_r 128 --lora_alpha 256 --mm_projector_lr 2e-5 \
--deepspeed ./scripts/zero3.json \
--model_name_or_path liuhaotian/llava-v1.6-mistral-7b \
--version mistral_instruct \
--data_path /home/larry5/project/LLaVA-1.6-ft/data/peft/date/csv_gt/date_modified_path_to_train_val_human-gpt-whole-check.json \
--image_folder /home/larry5/project/LLaVA-1.6-ft/data/data/ \
--vision_tower openai/clip-vit-large-patch14-336 \
--mm_projector_type mlp2x_gelu \
--mm_vision_select_layer -2 \
--mm_use_im_start_end False \
--mm_use_im_patch_token False \
--mm_patch_merge_type spatial_unpad \
--image_aspect_ratio anyres \
--group_by_modality_length False \
--bf16 False \
--fp16 True \
--output_dir /home/larry5/project/LLaVA-1.6-ft/scripts_peft/mistral/lora/llava-lora-mistral-r128a256/wholeimage/date/llava-lora-mistral-r128a256-10BS-model \
--num_train_epochs 1 \
--per_device_train_batch_size 10 \
--per_device_eval_batch_size 1 \
--gradient_accumulation_steps 1 \
--evaluation_strategy "no" \
--save_strategy "steps" \
--save_steps 500 \
--save_total_limit 5 \
--learning_rate 2e-5 \
--weight_decay 0. \
--warmup_ratio 0.05 \
--lr_scheduler_type "cosine" \
--logging_steps 1 \
--tf32 True \
--model_max_length 4096 \
--gradient_checkpointing True \
--dataloader_num_workers 4 \
--lazy_preprocess True \
--report_to wandb \ |