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

Loss: 0.0769
Accuracy: 0.9763

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
0.5419	0.2674	100	0.2146	0.9317
0.23	0.5348	200	0.3410	0.8833
0.239	0.8021	300	0.1327	0.9573
0.1849	1.0695	400	0.1202	0.9649
0.1073	1.3369	500	0.1510	0.9545
0.1381	1.6043	600	0.0769	0.9763
0.146	1.8717	700	0.0821	0.9753

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Dharamanand/finetuned-BrainTumor

finetuned-BrainTumor

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dharamanand/
finetuned-BrainTumor