temp_config_model_name = 'sa'
temp_config_data_path = 'data/t5_embedding_large.pt'
temp_config_logger = 'large_t5_sa'

# temp_config_model_name = 'ori'
# temp_config_data_path = 'data/t5_embedding_large.pt'
# temp_config_logger = 'large_t5_ori'

logger_name = 'logs_rebuttal'

# # used for mixed model configration
# extra_mixed_conf = {}

# extra_mixed_conf['mixed_vec_path'] = 'LiMNet_pdtb_vec_from_all.pt' 
# # LiMNet_pdtb_vec, LiMNet_pdtb_vec_from_all
# extra_mixed_conf['where_to_add'] = 'in_du_lstm' 
# # before_classification, in_du_lstm
# extra_mixed_conf['add_type'] = 'mixed_sentence_embedding_2' 
# # local_sentence_embedding, global_sentence_shift, mixed_sentence_embedding_1, mixed_sentence_embedding_2, pred, one_hot
# extra_mixed_conf['extra_ffn_dim'] = 0 # 0, 300, 512, 1024

# if len(extra_mixed_conf) != 0:
#     for k in extra_mixed_conf.keys():
#         temp_config_logger = temp_config_logger + str(extra_mixed_conf[k]) + '.'
