Push Keras model using huggingface_hub.

README.md

@@ -43,3 +43,12 @@ The following hyperparameters were used during training:
 | amsgrad | False |
 | training_precision | float32 |
 
+
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

config.json

@@ -1 +1 @@
-{"name": "model_34", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_40"}, "name": "input_40", "inbound_nodes": []}, {"class_name": "Normalization", "config": {"name": "normalization_3", "trainable": true, "dtype": "float32", "batch_input_shape": [null, null], "axis": [-1], "mean": null, "variance": null}, "name": "normalization_3", "inbound_nodes": [[["input_40", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_130", "trainable": true, "dtype": "float32", "units": 8, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.10000000149011612}}, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_130", "inbound_nodes": [[["normalization_3", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_62", "trainable": true, "dtype": "float32", "axis": [1], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization_62", "inbound_nodes": [[["dense_130", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_131", "trainable": true, "dtype": "float32", "units": 4, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_131", "inbound_nodes": [[["batch_normalization_62", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_132", "trainable": true, "dtype": "float32", "units": 4, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_132", "inbound_nodes": [[["dense_131", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_63", "trainable": true, "dtype": "float32", "axis": [1], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization_63", "inbound_nodes": [[["dense_132", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_133", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_133", "inbound_nodes": [[["batch_normalization_63", 0, 0, {}]]]}], "input_layers": [["input_40", 0, 0]], "output_layers": [["dense_133", 0, 0]]}
+{"name": "model_2", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "name": "input_3", "inbound_nodes": []}, {"class_name": "Normalization", "config": {"name": "normalization", "trainable": true, "dtype": "float32", "batch_input_shape": [null, null], "axis": [-1], "mean": null, "variance": null}, "name": "normalization", "inbound_nodes": [[["input_3", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_8", "trainable": true, "dtype": "float32", "units": 8, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.10000000149011612}}, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_8", "inbound_nodes": [[["normalization", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_4", "trainable": true, "dtype": "float32", "axis": [1], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization_4", "inbound_nodes": [[["dense_8", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_9", "trainable": true, "dtype": "float32", "units": 4, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_9", "inbound_nodes": [[["batch_normalization_4", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_10", "trainable": true, "dtype": "float32", "units": 4, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_10", "inbound_nodes": [[["dense_9", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_5", "trainable": true, "dtype": "float32", "axis": [1], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization_5", "inbound_nodes": [[["dense_10", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_11", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_11", "inbound_nodes": [[["batch_normalization_5", 0, 0, {}]]]}], "input_layers": [["input_3", 0, 0]], "output_layers": [["dense_11", 0, 0]]}

fingerprint.pb

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keras_metadata.pb

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logs/train/{events.out.tfevents.1688036753.Jays-MBP.58786.12.v2 → events.out.tfevents.1688572531.Jays-MBP.2217.2.v2}

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saved_model.pb

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