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run_cc.sh
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run_cc.sh
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#!/usr/bin/bash
for method in 'cc'
do
for dataset in 'MIntRec'
do
for text_backbone in 'bert-base-uncased'
do # for video_feats in 'swin-roi'
for video_feats in 'resnet-50'
do
for audio_feats in 'wav2vec2'
# for audio_feats in 'wavlm_feats'
do
python run.py \
--dataset $dataset \
--ood_dataset 'MIntRec-OOD' \
--data_path '/home/sharing/Datasets' \
--logger_name ${method} \
--multimodal_method $method \
--method ${method} \
--data_mode 'multi-class' \
--dialogue_mode 'single_turn' \
--clustering \
--tune \
--train \
--save_results \
--output_path '/home/sharing/disk1/zhoushihao/zhou/clustering' \
--gpu_id '3' \
--video_feats $video_feats \
--audio_feats $audio_feats \
--text_backbone $text_backbone \
--config_file_name ${method}_MIntRec \
--results_file_name 'results_mintrec_cc.csv'
done
done
done
done
done