Update README.md

README.md

@@ -8,6 +8,11 @@ metrics:
 model-index:
 - name: xlm-roberta-large-DreamBank
   results: []
+widget:
+- text: >-
+    I dreamed that Hannah and Sue and I travelled back in time to meet her
+    parents. Weird.
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,10 +22,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2942
+Best result (loaded model)
 - F1: 0.8621
-- Roc Auc: 0.9069
-- Accuracy: 0.6973
 
 ## Model description
 
@@ -68,4 +71,4 @@ The following hyperparameters were used during training:
 - Transformers 4.25.1
 - Pytorch 1.12.1
 - Datasets 2.5.1
-- Tokenizers 0.12.1
+- Tokenizers 0.12.1