pneumonia-classification

dyaminda/pneumonia-classification

pneumonia-classification is a image classification model from dyaminda. 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: Sep 24, 2023
Updated: Sep 26, 2023
SHA: c75b3ab7

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

pneumonia-classification

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: 0.0288
Accuracy: 0.9923

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.1574	0.99	52	0.0976	0.9726
0.0643	2.0	105	0.0535	0.9845
0.0189	2.99	157	0.0490	0.9821
0.0208	4.0	210	0.0484	0.9881
0.0096	4.95	260	0.0463	0.9881

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Sep 24, 2023
Updated: Sep 26, 2023