vit-base-lfw-face

sammyboi1801/vit-base-lfw-face

vit-base-lfw-face is a image classification model from sammyboi1801. 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: Apr 15, 2023
Updated: Apr 15, 2023
SHA: fd3fcc25

Model card

From the Hugging Face model README

vit-base-lfw-face

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

Loss: 0.2539
Accuracy: 0.9742

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.4943	0.41	100	2.8682	0.5572
2.6744	0.83	200	1.9178	0.7601
1.7785	1.24	300	1.2370	0.8819
1.4402	1.66	400	0.8530	0.9336
0.8081	2.07	500	0.6033	0.9446
0.6349	2.49	600	0.4308	0.9631
0.526	2.9	700	0.3396	0.9705
0.3106	3.32	800	0.2789	0.9742
0.2481	3.73	900	0.2539	0.9742

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Apr 15, 2023
Updated: Apr 15, 2023