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Code for the paper: "EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition"

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![image](https://github.com/yelboudouri/EmoNeXt/assets/76619240/2bf1c673-b57e-4ce8-953e-c3c520a2afc7) training loss, valid acc don' improve

When I was using emapytorch, I encountered some errors. May I ask what version of emapytorch you are using

Hello, I am trying to replicate the experiment using the "tiny" model. I downloaded the dataset and trained the model as per the steps provided. But at 178th epoch there...

when run train.py, in scheduler.py, error: cannot import name 'LRScheduler' from 'torch.optim.lr_scheduler'

Request you to please share : F1 score and ROC_AUC score value

![image](https://github.com/user-attachments/assets/c4a7fdd9-9fa3-4ae4-af9a-5ea76f770b39) I only got 71.4127% in the Tiny model. Here's my command: ``` python3 train.py --dataset-path='FER2013' --batch-size=64 --lr=0.0001 --epochs=300 --amp --in_22k --num-workers=6 --model-size='tiny' ``` I also modified `scheduler.py`, changed `max_lr`...