arnaucas/wildfire-classifier

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

Aditional resources

Fine-tuning tutorial