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metadata
license: apache-2.0
language:
  - zh
tags:
  - text2vec
  - feature-extraction
  - sentence-similarity
  - transformers
pipeline_tag: sentence-similarity

based on https://github.com/shibing624/text2vec

  • using all 5 tasks' datasets
  • base model is hfl/chinese-lert-base
  • max_seq_length = 256

spearman result:

STS-B ATEC BQ LCQMC PAWSX
67.60 42.67 61.61 77.79 57.54

license: apache-2.0