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TVR-Ranking / run_top40.sh
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python train.py \
--results_path results/tvr_ranking \
--train_path data/TVR_Ranking/train_top40.json \
--val_path data/TVR_Ranking/val.json \
--test_path data/TVR_Ranking/test.json \
--corpus_path data/TVR_Ranking/video_corpus.json \
--desc_bert_path data/features/query_bert.h5 \
--video_feat_path data/features/tvr_i3d_rgb600_avg_cl-1.5.h5 \
--sub_bert_path data/features/tvr_sub_pretrained_w_sub_query_max_cl-1.5.h5 \
--n_epoch 100 \
--eval_num_per_epoch 2 \
--seed 2024 \
--bsz 512 \
--exp_id top40
# qsub -I -l select=1:ngpus=1 -P gs_slab -q gpu8
# cd /home/renjie.liang/11_TVR-Ranking/ReLoCLNet; conda activate py11; sh run_top40.sh