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Model description

Text classification on the Newsgroup20 dataset using pre-trained GloVe word embeddings.

This repo contains the model to this Keras example using pre-trained word embeddings.

Full credits to : fchollet

Model reproduced by : 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

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Dataset used to train sumedh/pretrained-word-embeddings