shibing624/text2vec base chinese sentence This is a CoSENT(Cosine Sentence) model: shibing624/text2vec base chinese sentence. It maps sentences to a 768 dimensional dense vector space and can be used for tasks like sentence embeddings, text matching or semantic search. training dataset: https://huggingface.co/datasets/shibing624/nli zh all/tree/main/text2vec base chinese sentence dataset base model: nghuyong/ernie 3.0 base zh max seq length: 256 best epoch: 3 sentence embedding dim: 768 Evaluation For an automated evaluation of this model, see the Evaluation Benchmark : text2vec Release Models 本项目release模型的中文匹配评测结果： Arch BaseModel Model ATEC BQ LCQMC PAWSX STS B SOHU dd SOHU dc Avg QPS : : : : : : : : : : : : : : : : : : : : : Word2Vec word2vec w2v light tencent chinese 20.00 31.49 59.46 2.57 55.78 55.04 20.70 35.03 23769 SBERT xlm roberta base sentence transformers/paraphrase multilingual MiniLM L12 v2 18.42 38.52 63.96 10.14 78.90 63.01 52.28 46.46 3138 Instructor hfl/chinese roberta wwm ext moka ai/m3e base 41.27 63.81 74.87 12.20 76.96 75.83 60.55 57.93 2980 CoSENT hfl/chinese macbert base shibing624/text2vec base chinese 31.93 42.67 70.16 17.21 79.30 70.27 50.42 51.61 3008 CoS…
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