readme: ---
  library_name: keras
  language: en
  datasets: newsgroup
  tags:
      - multiclass-classification
      - newsgroup
  ---
  
  ## Model description
  
  Text classification on the Newsgroup20 dataset using pre-trained [GloVe](https://nlp.stanford.edu/projects/glove/) word embeddings.
  
  This repo contains the model [to this Keras example using pre-trained word embeddings](https://keras.io/examples/nlp/pretrained_word_embeddings/).
  
  Full credits to : [fchollet](https://twitter.com/fchollet)
  
  Model reproduced by : [Sumedh](https://huggingface.co/sumedh)
  
  ## Training and evaluation data
  
  Newsgroup20 dataset, a set of 20,000 message board messages belonging to 20 different topic categories
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  
  | name | learning_rate | decay | rho | momentum | epsilon | centered | training_precision |
  |----|-------------|-----|---|--------|-------|--------|------------------|
  |RMSprop|0.0010000000474974513|0.0|0.8999999761581421|0.0|1e-07|False|float32|
  
   ## Model Plot
  
  <details>
  <summary>View Model Plot</summary>
  
  ![Model Image](./model.png)
  
  </details>