ferVit – AI Model by Casanovafeat | AlphaNeural AI

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Casanovafeat/
ferVit

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mo-thecreator/vit-Facial-Expression-Recognition

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fervit

This model is a fine-tuned version of motheecreator/vit-Facial-Expression-Recognition on the image_folder dataset. It achieves the following results on the evaluation set:

Loss: 0.2527
Accuracy: 0.9205

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: 3e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5175	1.78	100	0.2538	0.9186

Framework versions

Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0