metadata

license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: swin-tiny-patch4-window7-224-finetuned-eurosat-kornia
    results: []

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