amyeroberts/resnet-18-finetuned-eurosat

This model is a fine-tuned version of microsoft/resnet-18 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.5582
• Validation Loss: 2.1533
• Validation Accuracy: 0.2059
• Epoch: 2

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Validation Accuracy	Epoch
3.0662	2.7376	0.1374	0
1.3977	2.3876	0.1685	1
0.5582	2.1533	0.2059	2

Framework versions

• Transformers 4.21.0.dev0
• TensorFlow 2.9.1
• Datasets 2.3.3.dev0
• Tokenizers 0.11.0