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emotion_output – AI Model by wandikafp | AlphaNeural AI

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wandikafp/
emotion_output

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google/vit-base-patch16-224-in21k

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emotion_output

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Framework versions

Transformers 4.41.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1