Add model

.gitattributes

@@ -25,3 +25,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.png filter=lfs diff=lfs merge=lfs -text
+variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+variables/variables.index filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,44 @@
+---
+library_name: keras
+tags:
+- collaborative-filtering
+- recommender
+---
+
+## 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:
+- 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| 0.637|  0.619| 
+| 2| 0.614|  0.616| 
+| 3| 0.609|  0.611| 
+| 4| 0.608|  0.61| 
+| 5| 0.608|  0.609| 
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

history.json

@@ -0,0 +1,16 @@
+{
+  "loss": [
+    0.6373019218444824,
+    0.6136389374732971,
+    0.6086257696151733,
+    0.6080355644226074,
+    0.6076262593269348
+  ],
+  "val_loss": [
+    0.618667721748352,
+    0.6163149476051331,
+    0.6105691194534302,
+    0.6103658080101013,
+    0.6092671751976013
+  ]
+}

keras_metadata.pb

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