resnet_weather_model

This model was trained from scratch on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.7452
• Accuracy: 0.6736
• F1: 0.6655

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
• train_batch_size: 8
• eval_batch_size: 8
• 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	F1
2.3598	1.0	91	2.1983	0.5165	0.5146
2.0319	2.0	182	1.8708	0.6446	0.6433
1.7971	3.0	273	1.7452	0.6736	0.6655

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2