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README.md

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+---
+library_name: keras
+language:
+- en
+pipeline_tag: text-classification
+tags:
+- toxic
+- comment
+- toxic comment
+---
+
+## Model description
+
+This model used for text classification with toxic and non-toxic labels.
+
+## Intended uses & limitations
+
+If you want to reuse model, try copy this
+```
+from huggingface_hub import from_pretrained_keras
+reloaded_model = from_pretrained_keras('Johnesss/Toxic-Comment-Classification')
+
+y_testing=reloaded_model.predict(x_testing,verbose=1,batch_size=32)
+test_df['Toxic']=['Not Toxic' if x<0.5 else 'Toxic' for x in y_testing]
+test_df[['comment_text','Toxic']].head(20)
+```
+## 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 | False |
+| is_legacy_optimizer | False |
+| learning_rate | 0.0010000000474974513 |
+| 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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