You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, For inference, do you get embeddings of all texts for all intents in the test set and cluster them? Or do you construct batches like in the training phase?
The text was updated successfully, but these errors were encountered:
Hi @sindhura97 ,
this depends on the size of your problem, i.e how many utterances you need to cluster. If their corresponding embedding fit in memory, you can cluster all the utterances together during inference, otherwise you need to split by batch.
However, for inference it does not make a big difference between the two approaches. :-)
Hi, my intention to ask this question was to know about the evaluation setup. Were the evaluation metrics obtained for one final clustering per dataset or are the metrics computed for each batch and averaged?
Hi, For inference, do you get embeddings of all texts for all intents in the test set and cluster them? Or do you construct batches like in the training phase?
The text was updated successfully, but these errors were encountered: