dataset: name: fb15k-237 distmult: entity_embedder: dropout: 0.4196834675552332 regularize_weight: 1.408318976944572e-09 relation_embedder: dropout: 0.40971036404279193 regularize_weight: 4.09962805784347e-15 eval: batch_size: 256 metrics_per: relation_type: true trace_level: example import: - distmult - reciprocal_relations_model job: device: cuda:3 lookup_embedder: dim: 256 initialize: uniform_ initialize_args: normal_: mean: 0.0 std: 0.04037805388365049 uniform_: a: -0.9352212163936202 xavier_normal_: gain: 1.0 xavier_uniform_: gain: 1.0 regularize_args: p: 3 weighted: true model: reciprocal_relations_model negative_sampling: implementation: batch num_samples: o: 402 p: -1 s: 255 reciprocal_relations_model: base_model: type: distmult train: auto_correct: true batch_size: 1024 loss_arg: 1.0 lr_scheduler: ReduceLROnPlateau lr_scheduler_args: factor: 0.95 mode: max patience: 6 threshold: 0.0001 max_epochs: 400 optimizer_args: lr: 0.15953749294870845 type: negative_sampling valid: early_stopping: min_threshold: epochs: 50 metric_value: 0.05 patience: 10