SeyedAli/Remote_Sensing_Image_Swin_Transformer
17
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RemoteSensingImageSwinTransformer
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
- trainbatchsize: 16
- evalbatchsize: 16
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 3
Training results
Confusion matrix
<img src='download.png'>
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1