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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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- Remote-Sensing |
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metrics: |
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- accuracy |
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model-index: |
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- name: Remote-Sensing-Classification-image-classification |
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results: [] |
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datasets: |
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- jonathan-roberts1/RSSCN7 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Remote-Sensing-UAV-image-classification |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an [jonathan-roberts1/RSSCN7](https://huggingface.co/datasets/jonathan-roberts1/RSSCN7) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1593 |
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- Accuracy: 0.9589 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.3922 | 0.71 | 100 | 0.4227 | 0.8821 | |
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| 0.2986 | 1.43 | 200 | 0.3142 | 0.9089 | |
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| 0.1109 | 2.14 | 300 | 0.2056 | 0.9518 | |
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| 0.0864 | 2.86 | 400 | 0.2472 | 0.9375 | |
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| 0.0397 | 3.57 | 500 | 0.1593 | 0.9589 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
