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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-384 |
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tags: |
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- generated_from_trainer |
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- climate |
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- biology |
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metrics: |
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- accuracy |
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model-index: |
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- name: wildfire-classifier |
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results: [] |
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widget: |
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- src: https://news.erau.edu/-/media/images/news/headlines/january-2023/wildfire-overhead-drone-shot.jpg?h=749&w=1000&hash=13476D2A9BBA829375B2EB7E83588E18 |
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example_title: Drone-shot |
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- src: https://www.ecuadorforestofclouds.org/uploads/7/4/1/4/74143387/2015367_orig.jpg |
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example_title: Cloudy forest |
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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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# Wildfire classifier |
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This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the |
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[Kaggle Wildfire Dataset](https://www.kaggle.com/datasets/elmadafri/the-wildfire-dataset). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2329 |
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- Accuracy: 0.9202 |
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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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| 0.1208 | 1.28 | 100 | 0.2329 | 0.9202 | |
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| 0.0261 | 2.56 | 200 | 0.2469 | 0.9316 | |
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| 0.0007 | 3.85 | 300 | 0.2358 | 0.9392 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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### Aditional resources |
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[Fine-tuning tutorial](https://huggingface.co/blog/fine-tune-vit) |
