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essam24/
vit-brain-tumour-v2

Name: vit-brain-tumour-v2
Availability: InStock

generated_from_trainer

imagefolder

google/vit-base-patch16-224-in21k

finetune

apache-2.0

model-index

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vit-brain-tumour-v2

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the essam24/brain-tumour-v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.5359
Accuracy: 0.8704

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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1236	0.5128	100	0.5990	0.8481
0.1695	1.0256	200	0.5359	0.8704
0.0186	1.5385	300	0.5705	0.8975
0.0368	2.0513	400	0.6136	0.8975
0.0036	2.5641	500	0.6122	0.9012
0.0029	3.0769	600	0.6067	0.9025
0.0027	3.5897	700	0.6449	0.9025

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

essam24/vit-brain-tumour-v2

vit-brain-tumour-v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

essam24/
vit-brain-tumour-v2