Model save

README.md

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+---
+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: []
+---
+
+<!-- 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. -->
+
+# swinv2-tiny-patch4-window8-256-finetuned-eurosat
+
+This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/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