I’m looking to fine-tune a sentence transformer model to do address similarity. I have a dataset model as such chiragshahcompass/addy · Datasets at Hugging Face. I’m using a MultipleNegativesRankingLoss loss function. My ultimate goal is to batch do address similarity so I don’t need to fumble around with Levenstein/ other NLP-type fuzzy matching processes. Thoughts on if this is the best approach, are their other options to consider? Thanks in advance!