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