Model save

README.md

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+---
+license: apache-2.0
+base_model: suredream/swin-tiny-patch4-window7-224-finetuned-eurosat
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: swin-tiny-patch4_eurosat
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# swin-tiny-patch4_eurosat
+
+This model is a fine-tuned version of [suredream/swin-tiny-patch4-window7-224-finetuned-eurosat](https://huggingface.co/suredream/swin-tiny-patch4-window7-224-finetuned-eurosat) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0610
+- Accuracy: 0.9863
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3004        | 1.0   | 2025  | 0.1180          | 0.9678   |
+| 0.539         | 2.0   | 4050  | 0.0834          | 0.9798   |
+| 0.024         | 3.0   | 6075  | 0.0700          | 0.9831   |
+| 0.2674        | 4.0   | 8100  | 0.0685          | 0.9833   |
+| 0.2086        | 5.0   | 10125 | 0.0610          | 0.9863   |
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1