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ViT_face

mxxxn/ViT_face

ViT_face is a machine learning model from mxxxn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: vit
Access: Public
Created: Sep 3, 2024
Updated: Sep 3, 2024
SHA: dc32fbe5

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 unsmile_data dataset. It achieves the following results on the evaluation set:

Loss: 0.1574

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	0.8504
No log	2.0	76	0.5505
No log	3.0	114	0.3683
No log	4.0	152	0.2726
No log	5.0	190	0.2143
No log	6.0	228	0.1879
No log	7.0	266	0.1718
No log	8.0	304	0.1630
No log	9.0	342	0.1585
No log	10.0	380	0.1574

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: vit
License: apache-2.0
Created: Sep 3, 2024
Updated: Sep 3, 2024

ViT_face — AI Model — AIMarketly