| datasets: newsgroup | |
| language: en | |
| library_name: tf-keras | |
| 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> | |
|  | |
| </details> |