swin-tiny-patch4-window7-224-blank_img

mansee/swin-tiny-patch4-window7-224-blank_img

swin-tiny-patch4-window7-224-blank_img is a image classification model from mansee. 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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Datasets

imagefolder

Model card

From the Hugging Face model README

swin-tiny-patch4-window7-224-blank_img

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: 0.0726
Accuracy: 0.9797

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
0.1329	0.99	72	0.0882	0.9767
0.1247	1.99	144	0.0805	0.9767
0.0742	2.99	216	0.0721	0.9767
0.0745	3.99	288	0.0726	0.9797
0.1289	4.99	360	0.0848	0.9729

Framework versions

Transformers 4.26.1
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Dec 14, 2023
Updated: Dec 18, 2023