vit-large-modified-augmented-ph2-patch-16

ahishamm/vit-large-modified-augmented-ph2-patch-16

vit-large-modified-augmented-ph2-patch-16 is a image classification model from ahishamm. 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: Jun 29, 2023
Updated: Jun 29, 2023
SHA: 63e77c9a

Model card

From the Hugging Face model README

vit-large-modified-augmented-ph2-patch-16

This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the ahishamm/Modified_Augmented_PH2_db_sharpened dataset. It achieves the following results on the evaluation set:

Loss: 0.0827
Accuracy: 0.9709
Recall: 0.9709
F1: 0.9709
Precision: 0.9709

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	F1	Precision
0.3402	0.29	50	0.6269	0.7945	0.7945	0.7945	0.7945
0.1387	0.59	100	0.2957	0.8921	0.8921	0.8921	0.8921
0.2921	0.88	150	0.3157	0.8836	0.8836	0.8836	0.8836
0.1268	1.18	200	0.4557	0.8527	0.8527	0.8527	0.8527
0.2071	1.47	250	0.2690	0.8818	0.8818	0.8818	0.8818
0.1238	1.76	300	0.2999	0.9178	0.9178	0.9178	0.9178
0.1327	2.06	350	0.6026	0.7877	0.7877	0.7877	0.7877
0.1453	2.35	400	0.2887	0.8990	0.8990	0.8990	0.8990
0.0686	2.65	450	0.2049	0.9503	0.9503	0.9503	0.9503
0.0414	2.94	500	0.3040	0.9195	0.9195	0.9195	0.9195
0.0851	3.24	550	0.2244	0.9298	0.9298	0.9298	0.9298
0.0054	3.53	600	0.1356	0.9555	0.9555	0.9555	0.9555
0.0029	3.82	650	0.0827	0.9709	0.9709	0.9709	0.9709

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Jun 29, 2023
Updated: Jun 29, 2023