Push Keras model using huggingface_hub.

config.json

@@ -1 +1 @@
-{"name": "model_15", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_16"}, "name": "input_16", "inbound_nodes": []}, {"class_name": "Normalization", "config": {"name": "normalization_16", "trainable": true, "dtype": "float32", "batch_input_shape": [null, null], "axis": [-1], "mean": null, "variance": null}, "name": "normalization_16", "inbound_nodes": [[["input_16", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_60", "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_60", "inbound_nodes": [[["normalization_16", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_30", "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_30", "inbound_nodes": [[["dense_60", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_61", "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_61", "inbound_nodes": [[["batch_normalization_30", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_62", "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_62", "inbound_nodes": [[["dense_61", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_31", "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_31", "inbound_nodes": [[["dense_62", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_63", "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_63", "inbound_nodes": [[["batch_normalization_31", 0, 0, {}]]]}], "input_layers": [["input_16", 0, 0]], "output_layers": [["dense_63", 0, 0]]}
+{"name": "model_16", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_17"}, "name": "input_17", "inbound_nodes": []}, {"class_name": "Normalization", "config": {"name": "normalization_17", "trainable": true, "dtype": "float32", "batch_input_shape": [null, null], "axis": [-1], "mean": null, "variance": null}, "name": "normalization_17", "inbound_nodes": [[["input_17", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_64", "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_64", "inbound_nodes": [[["normalization_17", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_32", "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_32", "inbound_nodes": [[["dense_64", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_65", "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_65", "inbound_nodes": [[["batch_normalization_32", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_66", "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_66", "inbound_nodes": [[["dense_65", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_33", "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_33", "inbound_nodes": [[["dense_66", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_67", "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_67", "inbound_nodes": [[["batch_normalization_33", 0, 0, {}]]]}], "input_layers": [["input_17", 0, 0]], "output_layers": [["dense_67", 0, 0]]}

fingerprint.pb

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+size 54

keras_metadata.pb

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 size 18688

logs/train/{events.out.tfevents.1698685798.Jays-MacBook-Pro.local.10472.15.v2 → events.out.tfevents.1698685843.Jays-MacBook-Pro.local.10472.16.v2}

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 size 1687702

saved_model.pb

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