# MID-SF batch_size=128 learning_rate=1e-3
python baseline_midsf.py train --batch_size=128 --learning_rate_bert=1e-3

# ECA batch_size=8 learning_rate=5e-5
python bert_context.py train --run_baseline=eca --batch_size=8 --learning_rate_bert=5e-5

# BERT CASA batch_size=4 learning_rate=5e-5
python bert_context.py train --run_baseline=casa --model=baseline --batch_size=4 --learning_rate_bert=5e-5

# KA-SLUM batch_size=32,16 learning_rate=1e-3
python bert_context.py train --run_baseline=kaslum --batch_size=32 --learning_rate_bert=1e-3

# ERNIE batch_size=32,16 learning_rate=1e-3
python bert_context.py train --model=new_fuse --run_baseline=ernie --batch_size=4 --learning_rate_bert=5e-5

# BERT LABAN
python bert_context.py train --run_baseline=laban --model=baseline

# BERT baseline
python bert_context.py train --run_baseline=bert_naive
