sports.sh

#!/bin/bash
# python main.py ag_news cvdd_Net ../log/ag_news ../data --device cuda --seed 1 --clean_txt --embedding_size 300 --pretrained_model GloVe_6B --ad_score context_dist_mean --n_attention_heads 3 --attention_size 150 --lambda_p 1.0 --alpha_scheduler logarithmic --n_epochs 100 --lr 0.01 --lr_milestone 40  --normal_class 2;
# python main.py ag_news cvdd_Net ../log/ag_news ../data --device cuda --seed 1 --clean_txt --embedding_size 300 --pretrained_model GloVe_6B --ad_score context_dist_mean --n_attention_heads 5 --attention_size 150 --lambda_p 1.0 --alpha_scheduler logarithmic --n_epochs 100 --lr 0.01 --lr_milestone 40  --normal_class 2;
# python main.py ag_news cvdd_Net ../log/ag_news ../data --device cuda --seed 1 --clean_txt --embedding_size 300 --pretrained_model GloVe_6B --ad_score context_dist_mean --n_attention_heads 10 --attention_size 150 --lambda_p 1.0 --alpha_scheduler logarithmic --n_epochs 100 --lr 0.01 --lr_milestone 40  --normal_class 2;
python main.py ag_news cvdd_Net ../log/ag_news ../data --device cuda --seed 1 --clean_txt --embedding_size 300 --pretrained_model FastText_en --ad_score context_dist_mean --n_attention_heads 3 --attention_size 150 --lambda_p 1.0 --alpha_scheduler logarithmic --n_epochs 100 --lr 0.01 --lr_milestone 40  --normal_class 2;
python main.py ag_news cvdd_Net ../log/ag_news ../data --device cuda --seed 1 --clean_txt --embedding_size 300 --pretrained_model FastText_en --ad_score context_dist_mean --n_attention_heads 5 --attention_size 150 --lambda_p 1.0 --alpha_scheduler logarithmic --n_epochs 100 --lr 0.01 --lr_milestone 40  --normal_class 2;
python main.py ag_news cvdd_Net ../log/ag_news ../data --device cuda --seed 1 --clean_txt --embedding_size 300 --pretrained_model FastText_en --ad_score context_dist_mean --n_attention_heads 10 --attention_size 150 --lambda_p 1.0 --alpha_scheduler logarithmic --n_epochs 100 --lr 0.01 --lr_milestone 40  --normal_class 2;