Push Keras model using huggingface_hub.

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst 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

README.md

@@ -1,3 +1,50 @@
 ---
-license: mit
+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:
+
+| Hyperparameters | Value |
+| :-- | :-- |
+| name | RMSprop |
+| weight_decay | None |
+| clipnorm | None |
+| global_clipnorm | None |
+| clipvalue | None |
+| use_ema | False |
+| ema_momentum | 0.99 |
+| ema_overwrite_frequency | 100 |
+| jit_compile | True |
+| is_legacy_optimizer | False |
+| learning_rate | 0.0010000000474974513 |
+| rho | 0.9 |
+| momentum | 0.0 |
+| epsilon | 1e-07 |
+| centered | False |
+| training_precision | float32 |
+
+
+ ## Model Plot
+
+<details>
+<summary>View Model Plot</summary>
+
+![Model Image](./model.png)
+
+</details>

fingerprint.pb

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history.json

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+{
+  "accuracy": [
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+    0.6094927787780762
+  ],
+  "loss": [
+    3.196852207183838,
+    2.441467761993408
+  ],
+  "val_accuracy": [
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+    0.644980788230896
+  ],
+  "val_loss": [
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+    2.158865451812744
+  ]
+}

keras_metadata.pb

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saved_model.pb

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variables/variables.data-00000-of-00001

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