Update README.md

README.md

@@ -32,14 +32,22 @@ model-index:
 Multilingual ChatGPT detection model from [Towards a Robust Detection of Language Model-Generated Text: Is ChatGPT that easy to detect?](TODO:)
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the HC3 FULL_MULTI_1.0_0.5_0.5 dataset with noise added.
-It achieves the following results on the evaluation set:
+It achieves the following results on the:
+
+Evaluation set:
 - Loss: 0.1573
 - F1: 0.9633
 
+Test Set:
+- F1: 0.97
+
+Adversarial:
+- F1: 0.45
+
 ## Model description
 
 This a model trained to detect text created by ChatGPT in French.
-The training data is the combination of the `hc3_fr_full` and `hc3_en_full` subsets of [almanach/hc3_multi](https://huggingface.co/almanach/hc3_multi), but with added misspelling and homoglyph attacks.
+The training data is the combination of the `hc3_fr_full` and `hc3_en_full` subsets of [almanach/hc3_multi](https://huggingface.co/datasets/almanach/hc3_french_ood), but with added misspelling and homoglyph attacks.
 
 ## Intended uses & limitations