MULTI-CLASS TEXT CLASSIFICATION USING BERT AND TENSORFLOW

thanks! 1) is there a way to get precision and recall? as this is a multiclass problem, could we get micro and macro precision , recall and f1 after each epoch? 2) why did you use `bert-base-cased`? when should we use `bert-base-uncased`?

Long time no seen bro please keep it continued 🙏 you will progress a lot in teaching world
Your videos are easy to understand

Thank you for this!

Can you please share why you choose this model, we have some fast models in huggingface,
Is there any advantage of this model, TF

and any alternative for better speed

Thank you for this video. I tried following along with another dataset but when I tried to one-hot encode my labels by typing " labels[np.arange(len(df)), df['rating'].values]= 1", I get this error "arrays used as indices must be of integer (or boolean) type". Please do you have any idea what I am doing wrong? thank you.

You are the best trainer.... Love you lottt

Thank you so much! What a wonderful, up to date guide.

I got an error,how to solve this
"ValueError: Input 0 of layer "model_8" is incompatible with the layer: expected shape=(None, 256), found shape=(6, 4, 5, 16, 256)"

Thank you for this video. How code for check the evaluation of the model, like f1 score, precision, recall, accuracy, and confusion matrix?
Thank you 😊

Hey!! Thanks for this video. Can you tell me how to measure the accuracy of this model?? Thank you already

THANK YOU SO MUCH FOR THIS! Thank you!!

Thanks for this video. It was really helpful. I have one question. When I tested the same thing (different dataset, but similar approach), I didn't get the validation accuracy and loss at the end of the epoch, only the test accuracy and loss. Do you know how to fix this.

Really helpful. Thank you very much.

model fit is throwing error bro

Very simple and clear explanation

Nice illustration. thanks

How can I integrate this model on my django website?

Thanks for the video! It's really helpful

The Bert model gives different results on every run. How can this problem be solved?

Thank you so much!!!!! Very helpful.

Hi, I want to train this on GPU but its not working. Can u help me?

Great video! Could you explain how I could add a confusion matrix to this since there is no y_pred, y_test, etc?

I am new to bert huggingface. i didnot get anything.

give me code of confusion matrix for this above code. from where i can take the actual and predicted labels.

can i export this model to tensorflow.js and use it within my react native application?

tried just everything but getting 38% hamming score accuracy on my multilabel classificastion of 24000 dataset into 26 labels, please suggest something

why are u training the entire bert model?? not fine tunning it

I have 50 labels , will it work?