Push Keras model using huggingface_hub.

README.md

@@ -1,3 +1,54 @@
 ---
-license: apache-2.0
+library_name: keras
+tags:
+- anomaly-detection
+- robot
+- autoencoder
 ---
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+
+| Hyperparameters | Value |
+| :-- | :-- |
+| name | Adam |
+| weight_decay | None |
+| clipnorm | None |
+| global_clipnorm | None |
+| clipvalue | None |
+| use_ema | False |
+| ema_momentum | 0.99 |
+| ema_overwrite_frequency | None |
+| jit_compile | False |
+| is_legacy_optimizer | False |
+| learning_rate | 0.0010000000474974513 |
+| beta_1 | 0.9 |
+| beta_2 | 0.999 |
+| epsilon | 1e-07 |
+| amsgrad | False |
+| training_precision | float32 |
+
+
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

config.json

@@ -0,0 +1 @@
+{"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_2", "trainable": true, "dtype": "float32", "batch_input_shape": [null, null], "axis": [-1], "mean": null, "variance": null}, "name": "normalization_2", "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_2", 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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f387efcb5c5328c7cb6a681f4e2a501659827b4ed39e3195b4faf105a106b2be
+size 56

keras_metadata.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:844f8448b898a1b2c87eda3b7736e681a0a005ec490cb09280e8b1773da27ca5
+size 18627

logs/train/events.out.tfevents.1696589435.Jays-MBP.2828.2.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3699a2d6062ab20ba3ee9edbaee88c7c31499f2bcc9ce06822a6f4f5dfc12a7
+size 1685148

saved_model.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1779f43a0173097a7594ba9f1a1df05e7e521fd78d310d9ac837763382b67e9f
+size 267859