sumedh/pretrained-word-embeddings

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

Model Plot

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