Push Keras model using huggingface_hub.

config.json

@@ -1 +1 @@
-{"name": "model_12", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_13"}, "name": "input_13", "inbound_nodes": []}, {"class_name": "Normalization", "config": {"name": "normalization_13", "trainable": true, "dtype": "float32", "batch_input_shape": [null, null], "axis": [-1], "mean": null, "variance": null}, "name": "normalization_13", "inbound_nodes": [[["input_13", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_48", "trainable": true, "dtype": "float32", "units": 16, "activation": {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_27", "trainable": true, "dtype": "float32", "alpha": 0.009999999776482582}}, "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": 0.10000000149011612, "l2": 0.0}}, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_48", "inbound_nodes": [[["normalization_13", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_24", "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_24", "inbound_nodes": [[["dense_48", 0, 0, {}]]]}, {"class_name": "Dropout", "config": {"name": "dropout_6", "trainable": true, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null}, "name": "dropout_6", "inbound_nodes": [[["batch_normalization_24", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_49", "trainable": true, "dtype": "float32", "units": 8, "activation": {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_28", "trainable": true, "dtype": "float32", "alpha": 0.009999999776482582}}, "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_49", "inbound_nodes": [[["dropout_6", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_50", "trainable": true, "dtype": "float32", "units": 8, "activation": {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_29", "trainable": true, "dtype": "float32", "alpha": 0.009999999776482582}}, "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_50", "inbound_nodes": [[["dense_49", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_25", "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_25", "inbound_nodes": [[["dense_50", 0, 0, {}]]]}, {"class_name": "Dropout", "config": {"name": "dropout_7", "trainable": true, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null}, "name": "dropout_7", "inbound_nodes": [[["batch_normalization_25", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_51", "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_51", "inbound_nodes": [[["dropout_7", 0, 0, {}]]]}], "input_layers": [["input_13", 0, 0]], "output_layers": [["dense_51", 0, 0]]}
+{"name": "model_13", "trainable": true, "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_14"}, "name": "input_14", "inbound_nodes": []}, {"class_name": "Normalization", "config": {"name": "normalization_14", "trainable": true, "dtype": "float32", "batch_input_shape": [null, null], "axis": [-1], "mean": null, "variance": null}, "name": "normalization_14", "inbound_nodes": [[["input_14", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_52", "trainable": true, "dtype": "float32", "units": 16, "activation": {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_30", "trainable": true, "dtype": "float32", "alpha": 0.009999999776482582}}, "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": 0.10000000149011612, "l2": 0.0}}, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_52", "inbound_nodes": [[["normalization_14", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_26", "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_26", "inbound_nodes": [[["dense_52", 0, 0, {}]]]}, {"class_name": "Dropout", "config": {"name": "dropout_8", "trainable": true, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null}, "name": "dropout_8", "inbound_nodes": [[["batch_normalization_26", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_53", "trainable": true, "dtype": "float32", "units": 8, "activation": {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_31", "trainable": true, "dtype": "float32", "alpha": 0.009999999776482582}}, "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_53", "inbound_nodes": [[["dropout_8", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_54", "trainable": true, "dtype": "float32", "units": 8, "activation": {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_32", "trainable": true, "dtype": "float32", "alpha": 0.009999999776482582}}, "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_54", "inbound_nodes": [[["dense_53", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_27", "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_27", "inbound_nodes": [[["dense_54", 0, 0, {}]]]}, {"class_name": "Dropout", "config": {"name": "dropout_9", "trainable": true, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null}, "name": "dropout_9", "inbound_nodes": [[["batch_normalization_27", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_55", "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_55", "inbound_nodes": [[["dropout_9", 0, 0, {}]]]}], "input_layers": [["input_14", 0, 0]], "output_layers": [["dense_55", 0, 0]]}

fingerprint.pb

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keras_metadata.pb

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logs/train/{events.out.tfevents.1696600711.Jays-MBP.2828.12.v2 → events.out.tfevents.1696600761.Jays-MBP.2828.13.v2}

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saved_model.pb

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