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

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+---
+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 | Adam |
+| weight_decay | None |
+| clipnorm | None |
+| global_clipnorm | None |
+| clipvalue | None |
+| use_ema | False |
+| ema_momentum | 0.99 |
+| ema_overwrite_frequency | None |
+| jit_compile | True |
+| is_legacy_optimizer | False |
+| learning_rate | 4.999999873689376e-05 |
+| 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>

fingerprint.pb

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history.json

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+{
+  "loss": [
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+    0.1496666967868805
+  ],
+  "sparse_categorical_accuracy": [
+    0.8115624785423279,
+    0.937749981880188
+  ],
+  "val_loss": [
+    0.2095041126012802,
+    0.13918794691562653
+  ],
+  "val_sparse_categorical_accuracy": [
+    0.9229999780654907,
+    0.9350000023841858
+  ]
+}

keras_metadata.pb

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saved_model.pb

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variables/variables.data-00000-of-00001

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