
###ReaRev+SBERT training
# python main.py ReaRev --is_eval --load_experiment relbert-full_cwq-rearev-final.ckpt --entity_dim 50 --num_epoch 200 --batch_size 8 --eval_every 2  \
# --lm relbert --num_iter 2 --num_ins 3 --num_gnn 3  --name cwq \
# --experiment_name prn_cwq-rearev-sbert --data_folder data/CWQ/ --num_epoch 100 --warmup_epoch 80

###ReaRev+LMSR training
# python main.py ReaRev  --entity_dim 50 --num_epoch 200 --batch_size 8 --eval_every 2  \
# --lm relbert --num_iter 2 --num_ins 3 --num_gnn 3  --name cwq \
# --experiment_name prn_cwq-rearev-lmsr  --data_folder data/CWQ/ --num_epoch 100 #--warmup_epoch 80


###Evaluate CWQ
python main.py ReaRev --entity_dim 50 --num_epoch 100 --batch_size 8 --eval_every 2 --data_folder data/CWQ/ --lm sbert --num_iter 2 --num_ins 3 --num_gnn 3 --relation_word_emb True --load_experiment ReaRev_CWQ.ckpt --is_eval --name cwq