EdBianchi/vit-fire-detection

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vit-fire-detection

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0126
• —Precision: 0.9960
• —Recall: 0.9960

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.25.1
• —Pytorch 1.14.0.dev20221111
• —Datasets 2.8.0
• —Tokenizers 0.12.1