good explanation.😇. 1. How can we classify if the tag has sub tags (aliases) ? Main Tag: Action Subtags or Aliases: Crime Thriller Drama 2. How can we process 1 lakhs of records using the trained model?
Great video!. I made a classification model similar to this one. But I have a question related. Suppose you have on your training data, how many people have voted for a movie to be action or comedy, and you would like to use this information also to train your model. Your label vector for the example was [1, 0, 0, 1, 0] where one is the class active for the comment. Now you will have [240, 0, 0, 42, 0]. Can you use this instead of a classification problem to be a multi-label regression where your model will output the number of votes for a given movie category? Can this be done? I just wondering how to use the additional information. Thanks for any comment on this. Best.
tried just everything but getting 38% hamming score accuracy on my multilabel classificastion of 24000 dataset into 26 labels, please suggest something.
Thank you so much for this video ❤❤❤
Thanks
Awesome 👌👌👌
Thank you! Cheers!
good explanation.😇.
1. How can we classify if the tag has sub tags (aliases) ?
Main Tag: Action
Subtags or Aliases:
Crime
Thriller
Drama
2. How can we process 1 lakhs of records using the trained model?
Great video!. I made a classification model similar to this one. But I have a question related. Suppose you have on your training data, how many people have voted for a movie to be action or comedy, and you would like to use this information also to train your model. Your label vector for the example was [1, 0, 0, 1, 0] where one is the class active for the comment. Now you will have [240, 0, 0, 42, 0]. Can you use this instead of a classification problem to be a multi-label regression where your model will output the number of votes for a given movie category? Can this be done? I just wondering how to use the additional information. Thanks for any comment on this. Best.
Thanks a lot😊
Thanks for watching ❤️
Thanks for the elaborate video! Is it possible to train on multiple features instead of just one for predicting the labels?
Please explain your problem in detail
Thanks a lot
Can you please help make a tutorial on how to load the model?
in which part and how fine tuned is used in this model?
will you please explain?
Thanks for very good content,
But I want to have input text length nearly 1024-4096 then can you suggest other model
Why is the max_length set to 128 if the pre-trained model max is 512?
Here how to see the training accuracy?
Can you please make video about binary classification problem using hugging face transformer?
Yes sure
tried just everything but getting 38% hamming score accuracy on my multilabel classificastion of 24000 dataset into 26 labels, please suggest something.
First comment😊
Appreciated