vit-base-brain-tumor-detection2

dhritic99/vit-base-brain-tumor-detection2

vit-base-brain-tumor-detection2 is a machine learning model from dhritic99. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: vit
Access: Public
Created: Aug 11, 2024
Updated: Aug 11, 2024
SHA: 36448367

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

vit-base-brain-tumor-detection2

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: 0.3987
Accuracy: 0.8883

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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8758	7.8125	500	0.8912	0.6182
0.5256	15.625	1000	0.6332	0.7607
0.2247	23.4375	1500	0.3877	0.8936

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: vit
License: apache-2.0
Created: Aug 11, 2024
Updated: Aug 11, 2024