ViT_face

candylion/ViT_face

ViT_face is a image classification model from candylion. 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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Hugging Face

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Sep 21, 2024
Updated: Sep 21, 2024
SHA: 7d4c8b56

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

ViT_face

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

Loss: 0.5240

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: 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

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	38	0.9844
No log	2.0	76	0.8261
No log	3.0	114	0.6908
No log	4.0	152	0.6297
No log	5.0	190	0.5770
No log	6.0	228	0.5463
No log	7.0	266	0.5250
No log	8.0	304	0.5263
No log	9.0	342	0.5306
No log	10.0	380	0.5240

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Sep 21, 2024
Updated: Sep 21, 2024