Model description
This model has couple of Dense layers.
Intended uses & limitations
It's intended to demonstrate capabilities of Hub for Keras on my blog post!
Training and evaluation data
It's trained on dummy data.
Above information is filled manually.
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 | Validation Loss |
|---|---|---|
| 1 | 0.102 | 0.094 |
| 2 | 0.094 | 0.092 |
| 3 | 0.092 | 0.091 |
| 4 | 0.091 | 0.09 |
| 5 | 0.09 | 0.089 |
Model Plot
View Model Plot
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# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://merve/model-card-example")