This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6497
Accuracy: 0.7335

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: 0.0001
train_batch_size: 35
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.581	1.25	1000	0.6497	0.7335

Framework versions

Transformers 4.35.2
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0

khaled44/vit-large-beans-demo-v5

vit-large-beans-demo-v5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

khaled44/
vit-large-beans-demo-v5