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