Model save

README.md

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+---
+license: apache-2.0
+base_model: neuralhaven/KDRSSC_ViT2TinyViT
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: KDRSSC_ViT2TinyViT-RESISC45_FT
+  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. -->
+
+# KDRSSC_ViT2TinyViT-RESISC45_FT
+
+This model is a fine-tuned version of [neuralhaven/KDRSSC_ViT2TinyViT](https://huggingface.co/neuralhaven/KDRSSC_ViT2TinyViT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2192
+- Accuracy: 0.9403
+- Precision: 0.9412
+- Recall: 0.9410
+- F1: 0.9406
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 3.1125        | 1.0   | 37   | 0.9645          | 0.911    | 0.9167    | 0.9076 | 0.9069 |
+| 0.6036        | 2.0   | 74   | 0.2854          | 0.938    | 0.9387    | 0.9394 | 0.9370 |
+| 0.4344        | 3.0   | 111  | 0.2315          | 0.942    | 0.9412    | 0.9422 | 0.9395 |
+| 0.3572        | 4.0   | 148  | 0.1993          | 0.948    | 0.9480    | 0.9487 | 0.9464 |
+| 0.3086        | 5.0   | 185  | 0.2025          | 0.94     | 0.9405    | 0.9391 | 0.9372 |
+| 0.2906        | 6.0   | 222  | 0.1979          | 0.939    | 0.9394    | 0.9381 | 0.9358 |
+| 0.2567        | 7.0   | 259  | 0.1814          | 0.943    | 0.9427    | 0.9440 | 0.9413 |
+| 0.2785        | 8.0   | 296  | 0.1563          | 0.948    | 0.9470    | 0.9484 | 0.9464 |
+| 0.2462        | 9.0   | 333  | 0.1509          | 0.951    | 0.9508    | 0.9524 | 0.9501 |
+| 0.245         | 10.0  | 370  | 0.1489          | 0.949    | 0.9475    | 0.9492 | 0.9468 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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runs/Sep26_19-00-32_b2c4789ac035/events.out.tfevents.1727378226.b2c4789ac035.61.1

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