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 +1,32 @@
+---
+library_name: keras
+---
+
+## 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
+
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

history.json

@@ -0,0 +1,26 @@
+{
+  "loss": [
+    0.17229998111724854,
+    0.10160263627767563,
+    0.09652437269687653,
+    0.09420909732580185,
+    0.09277668595314026,
+    0.09170614928007126,
+    0.09090746194124222,
+    0.09021258354187012,
+    0.08967287093400955,
+    0.08913194388151169
+  ],
+  "val_loss": [
+    0.1055283173918724,
+    0.09711629152297974,
+    0.09449297189712524,
+    0.09234388917684555,
+    0.09126471728086472,
+    0.09044227749109268,
+    0.08966716378927231,
+    0.0891166478395462,
+    0.08872254937887192,
+    0.08827612549066544
+  ]
+}

keras_metadata.pb

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+size 19699

saved_model.pb

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+size 135575

variables/variables.data-00000-of-00001

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variables/variables.index

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