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swin-tiny-patch4-window7-224-finetuned-eurosat – AI Model by Faariya-syed | AlphaNeural AI
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Faariya-syed
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swin-tiny-patch4-window7-224-finetuned-eurosat
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transformers
tensorboard
safetensors
swin
image-classification
generated_from_trainer
imagefolder
nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of
nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat
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: 1e-15
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: 15
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
