CAP_coded_UK_statutory_instruments

z-dickson/CAP_coded_UK_statutory_instruments

CAP_coded_UK_statutory_instruments is a text classification model from z-dickson. Use it when you need a label for a piece of text. It is set up for transformers.

This model predicts the CAP code of parliamentary bills/instruments (https://www.comparativeagendas.net/pages/master-codebook)

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jun 9, 2022
Updated: Jun 15, 2022
SHA: 737099a7

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Model card

From the Hugging Face model README

CAP_coded_UK_statutory_instruments

This model predicts the CAP code of parliamentary bills/instruments (https://www.comparativeagendas.net/pages/master-codebook)

The model is trained on ~40k UK Parliamentary Statutory Instruments from the UK House of Commons and the Scottish Parliament. The model is cased (case sensitive)

Any questions on the model and training data feel free to message me on twitter - @sachary_

Train Loss: 0.1188
Train Sparse Categorical Accuracy: 0.9688
Validation Loss: 0.2032
Validation Sparse Categorical Accuracy: 0.9556

The following hyperparameters were used during training:

optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train Sparse Categorical Accuracy	Validation Loss	Validation Sparse Categorical Accuracy	Epoch
0.2167	0.9474	0.2351	0.9444	0
0.1539	0.9592	0.2076	0.9536	1
0.1188	0.9688	0.2032	0.9556	2

Framework versions

Transformers 4.19.2
TensorFlow 2.8.2
Datasets 2.2.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
Created: Jun 9, 2022
Updated: Jun 15, 2022