Remote_Sensing_Image_Swin_Transformer

SeyedAli/Remote_Sensing_Image_Swin_Transformer

Remote_Sensing_Image_Swin_Transformer is a image classification model from SeyedAli. 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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.safetensors348 MB · 100%

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Base models

microsoft/swin-base-patch4-window7-224

Model card

From the Hugging Face model README

Remote_Sensing_Image_Swin_Transformer

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

Loss: 0.1004
Accuracy: 0.9661

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: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2786	1.0	35	0.1433	0.9536
0.1035	2.0	70	0.1101	0.9625
0.0288	3.0	105	0.1004	0.9661

Confusion matrix

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: swin
License: apache-2.0
Created: Jun 14, 2024
Updated: Jun 14, 2024