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
+variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+model.png filter=lfs diff=lfs merge=lfs -text
+variables/variables.index filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,43 @@
+---
+library_name: keras
+tags:
+- image-segmentation
+---
+
+## 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 | Train Accuracy | Validation Loss | Validation Accuracy |
+ |--- |--- |--- |--- |--- |
+| 1| 1.189|  0.639|  2.374|  0.596| 
+| 2| 0.954|  0.697|  1.89|  0.59| 
+| 3| 0.84|  0.732|  1.3|  0.651| 
+| 4| 0.77|  0.753|  1.014|  0.677| 
+| 5| 0.704|  0.773|  1.053|  0.668| 
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

history.json

@@ -0,0 +1,30 @@
+{
+  "accuracy": [
+    0.6387875080108643,
+    0.6966748237609863,
+    0.7323153614997864,
+    0.7530243992805481,
+    0.7734938859939575
+  ],
+  "loss": [
+    1.189329743385315,
+    0.95392906665802,
+    0.8402951955795288,
+    0.7695987224578857,
+    0.703525722026825
+  ],
+  "val_accuracy": [
+    0.5959837436676025,
+    0.5902891159057617,
+    0.651381254196167,
+    0.6766474843025208,
+    0.6679537892341614
+  ],
+  "val_loss": [
+    2.3742940425872803,
+    1.8898845911026,
+    1.3002241849899292,
+    1.0144134759902954,
+    1.053087830543518
+  ]
+}

keras_metadata.pb

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