wildfire-classifier – AI Model by arnaucas | AlphaNeural AI

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arnaucas/
wildfire-classifier

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image-classification

generated_from_trainer

google/vit-base-patch16-384

autotrain_compatible

endpoints_compatible

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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

Aditional resources

Fine-tuning tutorial