metadata
tags:
- generated_from_keras_callback
model-index:
- name: CAP_coded_UK_statutory_instruments
results: []
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)
See the README for more information on the model and training data or 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
- Epoch: 2
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