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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: CAP_coded_UK_statutory_instruments |
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results: [] |
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--- |
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# CAP_coded_UK_statutory_instruments |
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This model predicts the CAP code of parliamentary bills/instruments (https://www.comparativeagendas.net/pages/master-codebook) |
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The model is trained on ~40k UK Parliamentary Statutory Instruments from the UK House of Commons and the Scottish Parliament. |
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The model is cased (case sensitive) |
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See the README for more information on the model and training data or message me on twitter - @sachary_ |
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- Train Loss: 0.1188 |
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- Train Sparse Categorical Accuracy: 0.9688 |
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- Validation Loss: 0.2032 |
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- Validation Sparse Categorical Accuracy: 0.9556 |
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- Epoch: 2 |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
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|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
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| 0.2167 | 0.9474 | 0.2351 | 0.9444 | 0 | |
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| 0.1539 | 0.9592 | 0.2076 | 0.9536 | 1 | |
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| 0.1188 | 0.9688 | 0.2032 | 0.9556 | 2 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- TensorFlow 2.8.2 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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