vit-pneumonia-classification

ahyar002/vit-pneumonia-classification

vit-pneumonia-classification is a image classification model from ahyar002. 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: Oct 4, 2023
Updated: Oct 4, 2023
SHA: 5aee4631

Base models

google/vit-base-patch16-224-in21k

Datasets

chest-xray-classification

Model card

From the Hugging Face model README

vit-pneumonia-classification

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

Loss: 0.1301
Accuracy: 0.9561

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4786	1.0	32	0.3081	0.8609
0.213	2.0	64	0.1645	0.9399
0.1724	3.0	96	0.1419	0.9502
0.1438	4.0	128	0.0950	0.9734
0.1267	5.0	160	0.1225	0.9579

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Oct 4, 2023
Updated: Oct 4, 2023