This model is a fine-tuned version of
roberta-base on the
lectures dataset.
It achieves the following results on the test set:
The model was trained on a lectures dataset of 1000 rows of data. Hyperparameter tuning was also done to achieve these results.
The dataset was split into 80% training data, 10% validation data and 10% test data. We ensured that each split would have a proportional number of lectures per field.
