Update README.md

README.md

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-<!-- This model card has been generated automatically according to the information Keras had access to. You should
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 # CAP_coded_UK_statutory_instruments
 
-This model was trained from scratch on an unknown dataset.
-It achieves the following results on the evaluation set:
+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
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
 
-### Training hyperparameters
 
 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}