relbert/roberta-large-semeval2012-mask-prompt-b-triplet

• Analogy Question (dataset, full result):
  • Accuracy on SAT (full): 0.5320855614973262
  • Accuracy on SAT: 0.5311572700296736
  • Accuracy on BATS: 0.754307948860478
  • Accuracy on U2: 0.4824561403508772
  • Accuracy on U4: 0.5277777777777778
  • Accuracy on Google: 0.886
• Lexical Relation Classification (dataset, full result):
  • Micro F1 score on BLESS: 0.8882025011300286
  • Micro F1 score on CogALexV: 0.8687793427230047
  • Micro F1 score on EVALution: 0.6982665222101841
  • Micro F1 score on K&H+N: 0.9435904569798984
  • Micro F1 score on ROOT09: 0.9022250078345346
• Relation Mapping (dataset, full result):
  • Accuracy on Relation Mapping: 0.8107936507936508

Usage

Training hyperparameters

• model: roberta-large
• max_length: 64
• mode: mask
• data: semeval2012
• n_sample: 10
• custom_template: Today, I finally discovered the relation between and : is 's
• template: None
• softmax_loss: True
• in_batch_negative: True
• parent_contrast: True
• mse_margin: 1
• epoch: 1
• lr_warmup: 10
• batch: 64
• lr: 2e-05
• lr_decay: False
• weight_decay: 0
• optimizer: adam
• momentum: 0.9
• fp16: False
• random_seed: 0

Reference

@inproceedings{ushio-etal-2021-distilling-relation-embeddings,
    title = "{D}istilling {R}elation {E}mbeddings from {P}re-trained {L}anguage {M}odels",
    author = "Ushio, Asahi  and
      Schockaert, Steven  and
      Camacho-Collados, Jose",
    booktitle = "EMNLP 2021",
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
}