vit-base-patch16-224-finetuned-covid_ct_set_full

ArthurMor4is/vit-base-patch16-224-finetuned-covid_ct_set_full

vit-base-patch16-224-finetuned-covid_ct_set_full is a image classification model from ArthurMor4is. 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. --

Downloads · 30 days

4% of all-time downloads

All-time downloads

901

Public

Repo size

9.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin343 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Aug 14, 2023
Updated: Aug 15, 2023
SHA: 8744b920

Base models

google/vit-base-patch16-224

Model card

From the Hugging Face model README

vit-base-patch16-224-finetuned-covid_ct_set_full

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

Loss: 0.1225
Accuracy: 0.9627

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-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4343	0.99	29	0.1945	0.9298
0.2353	1.98	58	0.2052	0.9290
0.1395	2.97	87	0.2567	0.9075
0.1399	4.0	117	0.1225	0.9627
0.1186	4.96	145	0.1531	0.9521

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Aug 14, 2023
Updated: Aug 15, 2023