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this video we are going to talk about the sentence transformer fine tuning in the last session we discussed what is the sentence transformer and specifically why we use it in this video we will be covering if you have pre-trained sentence transformer how you can train it on your own data and that would basically help you to increase your performance multifold yeah so lets lets briefly cover what are the things that we are going to cover in this session so today we will be talking about the fine tuning for this fine tuning we will be requiring some data sets we will be using stand for natural language interface data phase data set and approach that we are going to use here is basically same as yamis based sentence transformer so like i discussed last time also that we will be uh having two sentences sentence a and sentence b we will pass it to birth model then we will be having here mean pulling it will generate our 768 size vector 768 768 one cross 768 each we will be passing it to