smoke_detector

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the smokedataset dataset. It achieves the following results on the evaluation set:

• Loss: 0.0187
• Accuracy: 0.9951

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1404	1.0	716	0.0396	0.9902
0.0493	2.0	1432	0.0337	0.9920
0.0237	3.0	2148	0.0263	0.9934

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.0