metadata

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

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