Model save

README.md

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+---
+license: apache-2.0
+base_model: WinKawaks/vit-tiny-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: vit-tiny-patch16-224-finetuned-RESISC45_01
+  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. -->
+
+# vit-tiny-patch16-224-finetuned-RESISC45_01
+
+This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2402
+- Accuracy: 0.9302
+- Precision: 0.9317
+- Recall: 0.9302
+- F1: 0.9301
+
+## 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: 0.0001
+- train_batch_size: 512
+- eval_batch_size: 512
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 3.9864        | 1.0   | 37   | 2.0458          | 0.643    | 0.6573    | 0.643  | 0.6131 |
+| 0.8947        | 2.0   | 74   | 0.5364          | 0.873    | 0.8821    | 0.873  | 0.8720 |
+| 0.5981        | 3.0   | 111  | 0.3644          | 0.907    | 0.9137    | 0.907  | 0.9068 |
+| 0.46          | 4.0   | 148  | 0.2821          | 0.914    | 0.9209    | 0.914  | 0.9130 |
+| 0.3936        | 5.0   | 185  | 0.2343          | 0.929    | 0.9331    | 0.929  | 0.9289 |
+| 0.3629        | 6.0   | 222  | 0.2191          | 0.935    | 0.9404    | 0.935  | 0.9351 |
+| 0.3154        | 7.0   | 259  | 0.2000          | 0.939    | 0.9424    | 0.939  | 0.9388 |
+| 0.317         | 8.0   | 296  | 0.1736          | 0.952    | 0.9548    | 0.952  | 0.9520 |
+| 0.2921        | 9.0   | 333  | 0.1725          | 0.952    | 0.9545    | 0.952  | 0.9519 |
+| 0.2922        | 10.0  | 370  | 0.1738          | 0.945    | 0.9481    | 0.945  | 0.9449 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

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runs/Sep08_01-36-09_89aaeac05e27/events.out.tfevents.1725760393.89aaeac05e27.237.1

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