Update README.md

README.md

@@ -59,11 +59,11 @@ This will return a list of recognized tokens marked with label 'INSTRUCTION'.
 ## Training
 
 It's based on the transformer architecture and specifically uses the [xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-base-uk) model from `ukr-models`, fine-tuned for the token classification task. The training data was carefully chosen to include a balanced distribution of titles containing instructions and those not containing instructions.
-The dataset contains newspaper titles (~3k titles), with tokens representing instructions manually labeled.
+The dataset contains newspaper titles (~6k titles), with tokens representing instructions manually labeled.
 
 ## Evaluation
 
-Model performance was evaluated using a held-out test set, again consisting of manually labeled newspaper titles. F1 - 0.8213 for the 'INSTRUCTION' label
+Model performance was evaluated using a held-out test set, again consisting of manually labeled newspaper titles. F1 - 0.9601, ACCURACY - 0.9968 for the 'INSTRUCTION' label
 
 ## License