vit-for-kaggle-mayo-clinic

diegopetrola/vit-for-kaggle-mayo-clinic

vit-for-kaggle-mayo-clinic is a image classification model from diegopetrola. 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: Aug 14, 2022
Updated: Sep 6, 2022
SHA: 4119fad7

Model card

From the Hugging Face model README

vit-for-kaggle-mayo-clinic

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5538
Accuracy: 0.7616

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: 0.0003
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	10	0.5944	0.7483
No log	2.0	20	0.5640	0.7483
No log	3.0	30	0.5582	0.7483
No log	4.0	40	0.5585	0.7483
No log	5.0	50	0.5598	0.7483
No log	6.0	60	0.5484	0.7483
No log	7.0	70	0.5524	0.7417
No log	8.0	80	0.5538	0.7616

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Aug 14, 2022
Updated: Sep 6, 2022