relbert/roberta-large-semeval2012-average-no-mask-prompt-d-nce

• Analogy Question (dataset, full result):
  • Accuracy on SAT (full): 0.6925133689839572
  • Accuracy on SAT: 0.6913946587537092
  • Accuracy on BATS: 0.8037798777098388
  • Accuracy on U2: 0.6885964912280702
  • Accuracy on U4: 0.6898148148148148
  • Accuracy on Google: 0.968
• Lexical Relation Classification (dataset, full result):
  • Micro F1 score on BLESS: 0.9273768268796143
  • Micro F1 score on CogALexV: 0.8615023474178404
  • Micro F1 score on EVALution: 0.6917659804983749
  • Micro F1 score on K&H+N: 0.9573624539194547
  • Micro F1 score on ROOT09: 0.9031651519899718
• Relation Mapping (dataset, full result):
  • Accuracy on Relation Mapping: 0.8909722222222223

Usage

Training hyperparameters

• model: roberta-large
• max_length: 64
• mode: average_no_mask
• data: relbert/semeval2012_relational_similarity
• template_mode: manual
• template: I wasn’t aware of this relationship, but I just read in the encyclopedia that is the of
• loss_function: nce_logout
• temperature_nce_constant: 0.05
• temperature_nce_rank: {'min': 0.01, 'max': 0.05, 'type': 'linear'}
• epoch: 29
• batch: 128
• lr: 5e-06
• lr_decay: False
• lr_warmup: 1
• weight_decay: 0
• random_seed: 0
• exclude_relation: None
• n_sample: 640
• gradient_accumulation: 8

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",
}