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tlord/
vit-base-dogs

Name: vit-base-dogs
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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vit-base-dogs

This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1696
Accuracy: 0.9607

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: 2e-05
train_batch_size: 10
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2208	1.0	591	0.3024	0.9343
0.4149	2.0	1182	0.2548	0.9268
0.3095	3.0	1773	0.2700	0.9329
0.2928	4.0	2364	0.1921	0.9444
0.2352	5.0	2955	0.1947	0.9472
0.1731	6.0	3546	0.2024	0.9458
0.1778	7.0	4137	0.1967	0.9526
0.156	8.0	4728	0.1780	0.9546
0.135	9.0	5319	0.1818	0.9553
0.1403	10.0	5910	0.1696	0.9607

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

tlord/vit-base-dogs

vit-base-dogs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tlord/
vit-base-dogs