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| 1.231|  0.635|  1.913|  0.596| 
+| 2| 0.947|  0.699|  2.633|  0.599| 
+| 3| 0.841|  0.731|  1.06|  0.68| 
+| 4| 0.772|  0.752|  1.035|  0.685| 
+| 5| 0.701|  0.774|  1.03|  0.697| 
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

history.json

@@ -0,0 +1,30 @@
+{
+  "accuracy": [
+    0.6351370811462402,
+    0.6990326642990112,
+    0.730664074420929,
+    0.7516252398490906,
+    0.773761510848999
+  ],
+  "loss": [
+    1.2312942743301392,
+    0.9466841220855713,
+    0.8409779667854309,
+    0.7715455293655396,
+    0.7006845474243164
+  ],
+  "val_accuracy": [
+    0.59598708152771,
+    0.5987855792045593,
+    0.679898202419281,
+    0.6847459673881531,
+    0.6965665221214294
+  ],
+  "val_loss": [
+    1.913199543952942,
+    2.6328048706054688,
+    1.0596894025802612,
+    1.0350570678710938,
+    1.0300731658935547
+  ]
+}

keras_metadata.pb

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