beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013 – AI Model by Celal11 | AlphaNeural AI

You can deploy this model and start earning money today!

Celal11/
beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013

like

0

image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013

This model is a fine-tuned version of Celal11/beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013 on the image_folder dataset. It achieves the following results on the evaluation set:

Loss: 0.6185
Accuracy: 0.7743

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9609	1.0	403	0.6678	0.7555
0.7786	2.0	806	0.6185	0.7743

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1