KvsAll:
  label_smoothing: 0.3
dataset:
  name: wnrr
eval:
  batch_size: 256
  metrics_per:
    relation_type: true
  trace_level: example
import:
- reciprocal_relations_model
- rescal
lookup_embedder:
  dim: 128
  initialize: uniform_
  initialize_args:
    normal_:
      mean: 0.0
      std: 0.040050258996206144
    uniform_:
      a: -0.4063789847256075
    xavier_normal_:
      gain: 1.0
    xavier_uniform_:
      gain: 1.0
  regularize_args:
    p: 3
model: reciprocal_relations_model
negative_sampling:
  implementation: batch
  num_samples:
    p: -1
reciprocal_relations_model:
  base_model:
    relation_embedder:
      dim: 16384
    type: rescal
rescal:
  entity_embedder:
    dropout: -0.29821809173392233
    regularize_weight: 2.7316949258356523e-14
  relation_embedder:
    dropout: 0.23784801073601625
    regularize_weight: 5.1397914949342275e-15
train:
  auto_correct: true
  batch_size: 128
  loss_arg: 1.0
  lr_scheduler: ReduceLROnPlateau
  lr_scheduler_args:
    factor: 0.95
    mode: max
    patience: 8
    threshold: 0.0001
  max_epochs: 400
  optimizer: Adam
  optimizer_args:
    lr: 0.0008535391032574453
valid:
  early_stopping:
    min_threshold:
      epochs: 50
      metric_value: 0.05
    patience: 10

