iclr2020_keys.conf

folder=$folder
emb_e_dim=$base_model.entity_embedder.dim
emb_r_dim=$base_model.relation_embedder.dim
train_type=train.type
num_negs_s=negative_sampling.num_negatives_s
num_negs_o=negative_sampling.num_negatives_o
label_smoothing=KvsAll.label_smoothing
train_loss=train.loss
margin=train.loss_arg
transe_l_norm=transe.l_norm
train_optimizer=train.optimizer
train_batch_size=train.batch_size
train_lr=train.optimizer_args.lr
train_lr_scheduler=train.lr_scheduler
train_lr_scheduler_patience=train.lr_scheduler_args.patience
emb_regularize=lookup_embedder.regularize
emb_regularize_p=lookup_embedder.regularize_args.p
emb_e_regularize_weight=$base_model.entity_embedder.regularize_weight
emb_r_regularize_weight=$base_model.relation_embedder.regularize_weight
emb_regularize_weighted=lookup_embedder.regularize_args.weighted
transe_normalize_e=transe.entity_embedder.normalize.p
transe_normalize_r=transe.relation_embedder.normalize.p
emb_e_dropout=$base_model.entity_embedder.dropout
emb_r_dropout=$base_model.relation_embedder.dropout
conve_feature_map_dropout=conve.feature_map_dropout
conve_projection_dropout=conve.projection_dropout
emb_initialize=lookup_embedder.initialize
emb_initialize_normal_std=lookup_embedder.initialize_args.normal_.std
emb_initialize_uniform_interval=lookup_embedder.initialize_args.uniform_.a
raw_mrr=mean_reciprocal_rank
raw_hits@1=hits_at_1
raw_hits@3=hits_at_3
raw_hits@10=hits_at_10
fil_mrr=mean_reciprocal_rank_filtered
fil_hits@1=hits_at_1_filtered
fil_hits@3=hits_at_3_filtered
fil_hits@10=hits_at_10_filtered
fwt_mrr=mean_reciprocal_rank_filtered_with_test
fwt_hits@1=hits_at_1_filtered_with_test
fwt_hits@3=hits_at_3_filtered_with_test
fwt_hits@10=hits_at_10_filtered_with_test