Model description
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Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
| name | learning_rate | decay | beta_1 | beta_2 | epsilon | amsgrad | training_precision |
|---|---|---|---|---|---|---|---|
| Adam | {'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 0.03, 'decay_steps': 9370, 'alpha': 0.25, 'name': None}} | 0.0 | 0.8999999761581421 | 0.9990000128746033 | 1e-07 | False | float32 |
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