mruby/reef_classifier

This model is a fine-tuned version of microsoft/resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.2128
• Validation Loss: 0.1995
• Train Accuracy: 0.9365
• Epoch: 4

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 18885, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.6048	0.5326	0.8392	0
0.4152	0.3764	0.8878	1
0.2911	0.2649	0.9259	2
0.2399	0.2350	0.9217	3
0.2128	0.1995	0.9365	4

Framework versions

• Transformers 4.27.4
• TensorFlow 2.8.0
• Datasets 2.12.0
• Tokenizers 0.13.3