BrainTumorClassifier-finetuned-ViT

Dharamanand/BrainTumorClassifier-finetuned-ViT

BrainTumorClassifier-finetuned-ViT is a image classification model from Dharamanand. 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: Apr 30, 2024
Updated: Apr 30, 2024
SHA: ca85c616

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

finetuned-BrainTumor-2.0

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

Loss: 0.1038
Accuracy: 0.9743

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: 0.0002
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
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3701	0.3289	100	0.2643	0.9183
0.3706	0.6579	200	0.2855	0.9125
0.1825	0.9868	300	0.1563	0.9510
0.1405	1.3158	400	0.1656	0.9382
0.1684	1.6447	500	0.1038	0.9743
0.1363	1.9737	600	0.1086	0.9697

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Apr 30, 2024
Updated: Apr 30, 2024