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metadata
license: apache-2.0
base_model: microsoft/swinv2-tiny-patch4-window8-256
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: swinv2-tiny-patch4-window8-256-finetuned-eurosat
    results: []

swinv2-tiny-patch4-window8-256-finetuned-eurosat

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5112
  • Accuracy: 0.7969

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6594 0.9955 167 0.6860 0.7426
0.5427 1.9970 335 0.5231 0.7836
0.523 2.9985 503 0.5246 0.7912
0.4991 4.0 671 0.5136 0.7950
0.4512 4.9776 835 0.5112 0.7969

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.2
  • Datasets 2.19.1
  • Tokenizers 0.19.1