End of training

README.md

@@ -15,17 +15,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5155
-- Precision 0: 0.8711
-- Precision 1: 0.7937
-- Recall 0: 0.8552
+- Loss: 0.3977
+- Precision 0: 0.8721
+- Precision 1: 0.8029
+- Recall 0: 0.8633
 - Recall 1: 0.8148
-- F1 0: 0.8631
-- F1 1: 0.8041
-- Precision Weighted: 0.8396
-- Recall Weighted: 0.8388
-- F1 Weighted: 0.8391
-- F1 Macro: 0.8336
+- F1 0: 0.8677
+- F1 1: 0.8088
+- Precision Weighted: 0.8440
+- Recall Weighted: 0.8436
+- F1 Weighted: 0.8438
+- F1 Macro: 0.8382
 
 ## Model description