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beit-base-patch16-224-pt22k-ft22k_ferplus – AI Model by tahayf | AlphaNeural AI
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Fine-Tuned ViT on FERPlus Dataset
This model is a fine-tuned version of BEiT on the
FERPlus dataset
, which is more balanced ferplus dataset as owner claimed.
Model Details
Base Model
:
BeiT
Dataset
: FERPlus, which contains grayscale images of faces labeled with emotion categories.
Task
: Emotion Classification
Accuracy
%82.7
Labels
:
0: Angry
1: Contempt
2: Disgust
3: Fear
4: Happy
5: Neutral
6: Sad
7: Surprise
Training Hyperparameters
Batch Size
: 16
Epochs
: 1
Learning Rate
: 2e-5
Weight Decay
: 0.01
