BlackKakapo

This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. Fine Tune of stsb-xlm-r-multilingual for romanian language Using this model becomes easy when you have sentence-transformers installed: Usage (HuggingFace Transformers) Without sentence-transformers, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings. Training DataSet: STS-ro The text dataset is in Romanian (ro). Score is from 0 to 5, that why I divide score by 5, becouse the score for EmbeddingSimilarityEvaluator (evaluator for finetune) need to be from 0 to 1. Dataset Structure: `torch.utils.data.dataloader.DataLoader` of length 223 with parameters: `sentencetransformers.losses.CosineSimilarityLoss.CosineSimilarityLoss`