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.
See the README for more information on the model and training data.
- 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