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Wildfire classifier
This model is a fine-tuned version of google/vit-base-patch16-384 on the Kaggle Wildfire Dataset. It achieves the following results on the evaluation set:
- Loss: 0.2329
- Accuracy: 0.9202
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1208 | 1.28 | 100 | 0.2329 | 0.9202 |
| 0.0261 | 2.56 | 200 | 0.2469 | 0.9316 |
| 0.0007 | 3.85 | 300 | 0.2358 | 0.9392 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
