Update README.md

README.md

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 datasets:
 - Wikipedia
 tags:
-- sentence similarity
+- sentence-similarity
 ---
 # SHerbert - Polish SentenceBERT
 SentenceBERT is a modification of the pretrained BERT network that use siamese and triplet network structures to derive semantically meaningful sentence embeddings that can be compared using cosine-similarity. Training was based on the original paper [Siamese BERT models for the task of semantic textual similarity (STS)](https://arxiv.org/abs/1908.10084) with a slight modification of how the training data was used. The goal of the model is to generate different embeddings based on the semantic and topic similarity of the given text.