attraction-classifier-swin

ongkn/attraction-classifier-swin

attraction-classifier-swin is a image classification model from ongkn. 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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Hugging Face

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.safetensors110 MB · 100%

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Base models

microsoft/swin-tiny-patch4-window7-224

Datasets

imagefolder

Model card

From the Hugging Face model README

attraction-classifier-swin

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.5367
Accuracy: 0.7390

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: 16
eval_batch_size: 16
seed: 69
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6207	0.49	100	0.5599	0.7115
0.6256	0.98	200	0.5238	0.7225
0.597	1.46	300	0.5003	0.7418
0.6121	1.95	400	0.5409	0.7610
0.5457	2.44	500	0.5123	0.7555
0.5258	2.93	600	0.4792	0.7637
0.504	3.41	700	0.5169	0.7390
0.541	3.9	800	0.4858	0.7582
0.5704	4.39	900	0.5367	0.7390

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu117
Datasets 2.15.0
Tokenizers 0.15.0

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Dec 18, 2023
Updated: Dec 18, 2023