QCQC / DeQA-Score /scripts /train_lora.sh
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#!/bin/bash
export PYTHONPATH=./:$PYTHONPATH
LOAD="../ModelZoo/mplug-owl2-llama2-7b/"
deepspeed --include localhost:$1 --master_port 6688 src/train/train_mem.py \
--deepspeed scripts/zero3.json \
--lora_enable True \
--model_name_or_path $LOAD \
--version v1 \
--dataset_type pair \
--level_prefix "The quality of the image is" \
--level_names excellent good fair poor bad \
--softkl_loss True \
--weight_rank 1.0 \
--weight_softkl 1.0 \
--weight_next_token 0.05 \
--continuous_rating_loss True \
--closeset_rating_loss True \
--use_fix_std True \
--detach_pred_std True \
--data_paths ../Data-DeQA-Score/KONIQ/metas/train_koniq_7k.json \
../Data-DeQA-Score/SPAQ/metas/train_spaq_9k.json \
../Data-DeQA-Score/KADID10K/metas/train_kadid_8k.json \
--data_weights 1 1 1 \
--image_folder ../Data-DeQA-Score/ \
--output_dir ./checkpoints/deqa_lora_mix3_rank1.0_next0.05_kl1.0 \
--image_aspect_ratio pad \
--group_by_modality_length True \
--bf16 True \
--num_train_epochs 3 \
--per_device_train_batch_size 16 \
--per_device_eval_batch_size 4 \
--gradient_accumulation_steps 1 \
--evaluation_strategy "no" \
--save_strategy "no" \
--learning_rate 2e-5 \
--weight_decay 0. \
--warmup_ratio 0.03 \
--lr_scheduler_type "cosine" \
--logging_steps 1 \
--tf32 True \
--model_max_length 2048 \
--gradient_checkpointing True \
--tune_visual_abstractor True \
--freeze_vision_model False \
--dataloader_num_workers 4 \
--lazy_preprocess True \
--report_to tensorboard