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Model description
An xlm-roberta-large model fine-tuned on UK survey questions (in English) labeled with major topic codes from the CLOSER codecook https://ucldata.atlassian.net/wiki/spaces/CLOS/pages/37323020/Topics.
Fine-tuning procedure
This model was fine-tuned with the following key hyperparameters:
- Number of Training Epochs: 10
- Batch Size: 8
- Learning Rate: 5e-06
Model performance
The model was evaluated on a test set of 4216 examples.
Model F1 score is 0.88.
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