Update README.md

README.md

@@ -128,6 +128,10 @@ The custom dataset of front page texts of patent specifications was assembled in
 
 Our custom dataset has accurate manual labels created jointly by an undergraduate student and an economics professor. The final dataset is split 60-20-20 (train-val-test). In the event that the front page text is too long, we restrict the text to the first 512 tokens.
 
+### Training Procedure
+
+We use the standard token classification protocols with the HuggingFace Trainer API. We use cross-entropy loss.
+
 ### Evaluation 
 
 Our evaluation metric is F1 at the full entity-level. That is, we aggregated adjacent-indexed entities into full entities and computed F1 scores requiring an exact match. These scores for the test set are below.