Edit model card

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': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training Metrics

Epochs Train Loss Train Accuracy Validation Loss Validation Accuracy
1 1.231 0.635 1.913 0.596
2 0.947 0.699 2.633 0.599
3 0.841 0.731 1.06 0.68
4 0.772 0.752 1.035 0.685
5 0.701 0.774 1.03 0.697

Model Plot

View Model Plot

Model Image

Downloads last month
0
Inference Examples
Inference API (serverless) does not yet support keras models for this pipeline type.