#!/bin/bash

SCRIPT_DIR=.
MODEL_DIR=~/models/training_v3_new

IMAGE_ENCODER="openai/clip-vit-base-patch32"
TEXT_ENCODER="indobenchmark/indobert-base-p2"

python ${SCRIPT_DIR}/run_hybrid_clip.py \
    --output_dir ${MODEL_DIR} \
    --overwrite_output_dir \
    --tokenizer_name=${TEXT_ENCODER} \
    --train_file="../data/train_dataset_v3.json" \
    --validation_file="../data/val_dataset_v3.json" \
    --do_train --do_eval \
    --num_train_epochs="10" --max_seq_length 96 \
    --per_device_train_batch_size="64" \
    --per_device_eval_batch_size="64" \
    --learning_rate="0.00005" --warmup_ratio 0.1 --weight_decay 0.0 \
    --preprocessing_num_workers 16 \
    --exp_name training_v3 \
    --text_model_name_or_path=${TEXT_ENCODER} \
    --vision_model_name_or_path=${IMAGE_ENCODER} \
    --eval_steps 2500 \
    --logging_steps 200 \
    --save_steps 2500 \
    --save_total_limit 5 \
    --log_wandb \
    --freeze_backbones
    #--push_to_hub