weather_classification_ViT

methane6923/weather_classification_ViT

weather_classification_ViT is a image classification model from methane6923. 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: Jul 8, 2024
Updated: Jul 11, 2024
SHA: bd85d014

Base models

google/vit-base-patch16-224-in21k

Datasets

imagefolder

Model card

From the Hugging Face model README

weather_classification_ViT

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

Loss: 0.1268
Accuracy: 0.9679
Precision: 0.9679
Recall: 0.9679
F1: 0.9679
Auc: 0.9974

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Auc
0.2811	0.2288	100	0.3139	0.8958	0.9147	0.8958	0.8970	0.9903
0.1396	0.4577	200	0.2454	0.9278	0.9307	0.9278	0.9282	0.9919
0.3761	0.6865	300	0.2952	0.9072	0.9117	0.9072	0.9071	0.9889
0.2365	0.9153	400	0.1797	0.9444	0.9447	0.9444	0.9445	0.9940
0.2528	1.1442	500	0.2470	0.9278	0.9307	0.9278	0.9278	0.9924
0.2364	1.3730	600	0.2448	0.9261	0.9306	0.9261	0.9264	0.9934
0.34	1.6018	700	0.1986	0.9404	0.9409	0.9404	0.9405	0.9929
0.2001	1.8307	800	0.1525	0.9542	0.9548	0.9542	0.9539	0.9960
0.0958	2.0595	900	0.1783	0.9507	0.9515	0.9507	0.9505	0.9952
0.1862	2.2883	1000	0.1654	0.9553	0.9558	0.9553	0.9551	0.9952
0.1021	2.5172	1100	0.1654	0.9462	0.9472	0.9462	0.9459	0.9958
0.1178	2.7460	1200	0.1591	0.9525	0.9536	0.9525	0.9523	0.9960
0.0474	2.9748	1300	0.1299	0.9633	0.9635	0.9633	0.9633	0.9975
0.046	3.2037	1400	0.1384	0.9628	0.9628	0.9628	0.9627	0.9972
0.0294	3.4325	1500	0.1388	0.9645	0.9644	0.9645	0.9644	0.9969
0.1833	3.6613	1600	0.1346	0.9633	0.9634	0.9633	0.9633	0.9971
0.0548	3.8902	1700	0.1268	0.9679	0.9679	0.9679	0.9679	0.9974

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Jul 8, 2024
Updated: Jul 11, 2024