vit-base-cats-vs-dogs

nateraw/vit-base-cats-vs-dogs

vit-base-cats-vs-dogs is a image classification model from nateraw. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Mar 2, 2022
Updated: Aug 31, 2021
SHA: 647f3e8f

Datasets

cats_vs_dogs

Model card

From the Hugging Face model README

vit-base-cats-vs-dogs

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

Loss: 0.0202
Accuracy: 0.9935

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: 0.0002
train_batch_size: 64
eval_batch_size: 64
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.064	1.0	311	0.0483	0.9849
0.0622	2.0	622	0.0275	0.9903
0.0366	3.0	933	0.0262	0.9917
0.0294	4.0	1244	0.0219	0.9932
0.0161	5.0	1555	0.0202	0.9935

Framework versions

Transformers 4.8.1
Pytorch 1.9.0+cu102
Datasets 1.11.1.dev0
Tokenizers 0.10.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Mar 2, 2022
Updated: Aug 31, 2021