vit-base-brain-dementia-detection1

dhritic99/vit-base-brain-dementia-detection1

vit-base-brain-dementia-detection1 is a machine learning model from dhritic99. 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: Aug 13, 2024
Updated: Aug 13, 2024
SHA: b0d5def7

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

vit-base-brain-dementia-detection1

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

Loss: 0.2209
Accuracy: 0.9516

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7193	1.9531	500	0.7950	0.6592
0.249	3.9062	1000	0.3423	0.9023
0.0774	5.8594	1500	0.1845	0.9492
0.0306	7.8125	2000	0.1809	0.9570
0.0099	9.7656	2500	0.1198	0.9717
0.0065	11.7188	3000	0.1497	0.9648
0.0053	13.6719	3500	0.1477	0.9668
0.004	15.625	4000	0.1585	0.9629

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: vit
License: apache-2.0
Created: Aug 13, 2024
Updated: Aug 13, 2024