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pretrained-word-embeddings
sumedh/pretrained-word-embeddings
pretrained-word-embeddings is a machine learning model from sumedh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras.
Text classification on the Newsgroup20 dataset using pre-trained GloVe word embeddings.
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Repo size
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At a glance
- Library
- keras
- Access
- Public
- Created
- Jun 26, 2022
- Updated
- Jun 26, 2022
- SHA
- c1746b1e
Datasets
Model card
From the Hugging Face model README
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
<details> <summary>View Model Plot</summary>
- Library
- keras
- Languages
- en
- Created
- Jun 26, 2022
- Updated
- Jun 26, 2022