Update README.md

README.md

@@ -18,13 +18,16 @@ multilinguality:
 license: cc-by-sa-4.0
 inference: false
 ---
+# Background
 
 This learned metric is for evaluating models trained on the TaTA dataset. It was trained as per instructions in [TaTA: A Multilingual Table-to-Text Dataset for African Languages](https://aclanthology.org/2023.findings-emnlp.118/) (StATA-QE variant).
 
-It achieves an RMSE loss of 0.41 on the dev split, and a Pearson correlation of 0.23 with human evaluations on the test split ("attributable" column of [this dataset](https://huggingface.co/datasets/adenhaus/stata)).
-
 The original file can be found [here](https://github.com/google-research/url-nlp/tree/main/tata).
 
+# Performance
+
+It achieves an RMSE loss of 0.41 on the dev split, and a Pearson correlation of 0.23 with human evaluations on the test split ("attributable" column of [this dataset](https://huggingface.co/datasets/adenhaus/stata)).
+
 [Here](https://huggingface.co/adenhaus/mt5-large-stata/blob/main/README.md) is a version trained with mT5-Large instead of mT5-Small, which achieves a correlation of 0.59.
 
 # Example use