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Omriy123/
vit-base-patch16-224-in21k-dogs-cats2

Name: vit-base-patch16-224-in21k-dogs-cats2
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224-in21k

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vit-base-patch16-224-in21k-dogs-cats2

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

Loss: 0.0111
Accuracy: 0.9968

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0691	1.0	625	0.0187	0.995
0.0332	2.0	1250	0.0147	0.9958
0.0446	3.0	1875	0.0139	0.9946
0.0241	4.0	2500	0.0178	0.9952
0.0412	5.0	3125	0.0117	0.9968
0.0683	6.0	3750	0.0168	0.995
0.0081	7.0	4375	0.0143	0.9962
0.0316	8.0	5000	0.0111	0.9968
0.0184	9.0	5625	0.0124	0.9968
0.021	10.0	6250	0.0128	0.9964

Framework versions

Transformers 4.38.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1

Omriy123/vit-base-patch16-224-in21k-dogs-cats2

vit-base-patch16-224-in21k-dogs-cats2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Omriy123/
vit-base-patch16-224-in21k-dogs-cats2