Thank you for such a swift answer! I hope you don’t mind my asking for clarification:
Will space separating the labels train the model to identify each label independently?
For example: let’s say I have the space separated labels “happy friendly optimistic” as labels for a text. Would the model interpret the labels independently as 3 “happy” and “friendly” and “optimistic”, or 1 label “happy friendly optimistic”? I would like it to treat the labels as independent because otherwise I would require many orders of magnitude more data.
Does this mean that I can specify valid_pct=0.2 and not have to specify valid_col while also going through my data and manually labeling 0 for training data and 1 for validation data? I would love if I could use valid_pct instead of valid_col
Thanks again for being such a help I really really appreciate it
I believe this denotes that the labels are space-separated?
y_block=MultiCategoryBlock
I believe this denotes that there are multiple, independent labels? I also believe the independent labels can thus be in any order, as long as they appear correctly on the data?
valid_pct=0.2
I’m using this instead of valid_col as you informed me I could do