This is a sentence-transformers model finetuned from BAAI/bge-m3. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, classification, clustering, and more. First install the Sentence Transformers library: Then you can load this model and run inference. Evaluated with InformationRetrievalEvaluator Approximate statistics based on the first 100 samples: - perdevicetrainbatchsize: 32 - numtrainepochs: 5 - learningrate: 2e-05 - lrschedulertype: cosine - warmupsteps: 0.1 - optim: adamwtorch - weightdecay: 0.01 - bf16: True - perdeviceevalbatchsize: 32 - loadbestmodelatend: True…