Update README.md

README.md

@@ -106,6 +106,10 @@ These datasets were machine translated into Portuguese and from the [extraGLUE](
 Furthermore, instruction templates have been manually crafted for each task.
 These take the various fields in the dataset and arrange them into prompts, which were collected into the [extraGLUE-instruct](https://huggingface.co/datasets/PORTULAN/extraglue-instruct) dataset.
 
+We also employ data augmentation techniques to enhance the size and diversity of our dataset.
+This involves repurposing the tasks in various ways, such as generation of answers from MultiRC, question generation from BoolQ, and other relevant modifications.
+
+
 # Training Details
 
 We applied supervised fine-tuning with a causal language modeling training objective following a zero-out technique during the fine-tuning process.
@@ -120,8 +124,7 @@ In other words, each example occupies the full input sequence length.
 # Evaluation
 
 For testing, we reserved the translated datasets MRPC (similarity) and RTE (inference), from GLUE, and COPA (reasoning/qa), from SuperGLUE, which were taken as representatives of three major types of tasks, and were not seen during training.
-We also employ data augmentation techniques to enhance the size and diversity of our dataset.
-This involves repurposing the tasks in various ways, such as generation of answers from MultiRC, question generation from BoolQ, and other relevant modifications.
+
 
 
 | Model                    | MRPC (F1)      | RTE (F1)       | COPA (F1) |