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swin-tiny-patch4-window7-224-finetuned-eurosat-kornia – AI Model by ggergues | AlphaNeural AI

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ggergues/
swin-tiny-patch4-window7-224-finetuned-eurosat-kornia

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image-classification

generated_from_trainer

microsoft/swin-tiny-patch4-window7-224

autotrain_compatible

endpoints_compatible

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swin-tiny-patch4-window7-224-finetuned-eurosat-kornia

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.

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: 3

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cpu
Datasets 2.16.1
Tokenizers 0.15.0