Is there a similar video explaining hyperparameter optimization for binary text classification or multiclass text classification? I tried working through multilabel code for sst2 dataset but couldn't get through.
If you have no labelled data available, we call the multiple methods you can apply UNSUPERVISED LEARNING. This includes methods like TSDAE (see my SBERT 15 video) or you go for an advanced "Domain Adaptation" methodology (I explain it and show you how to code it in my video SBERT 25, or you just search in my channel with these keywords). Have fun!
how can we use multiple evaluation metrics like f-score,precision and recall?
Your videos are brilliant! Thank you so much :)
Thank you for such a positive feedback.
Is there a similar video explaining hyperparameter optimization for binary text classification or multiclass text classification? I tried working through multilabel code for sst2 dataset but couldn't get through.
Same here. I didn't see which "multi_target_strategy" I should use for multi-class text classification ? :/
Hi , I'd like to improve the performance of my SBERT model by training it on my data, but i do not have labelled data. Any help on how to proceed?
If you have no labelled data available, we call the multiple methods you can apply UNSUPERVISED LEARNING. This includes methods like TSDAE (see my SBERT 15 video) or you go for an advanced "Domain Adaptation" methodology (I explain it and show you how to code it in my video SBERT 25, or you just search in my channel with these keywords). Have fun!
@@code4AI okay, thank a lot!