Update README.md

README.md

@@ -9,6 +9,8 @@ metrics:
 model-index:
 - name: balanced-augmented-mlroberta-gest-pred-seqeval-partialmatch-2
   results: []
+datasets:
+- Jsevisal/balanced_augmented_dataset_2
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/xlm-roberta-large-finetuned-conll03-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4178
-- Precision: 0.9479
+- Loss: 0.3760
+- Precision: 0.9448
 - Recall: 0.9511
-- F1: 0.9462
-- Accuracy: 0.9240
+- F1: 0.9450
+- Accuracy: 0.9279
 
 ## Model description
 
@@ -80,4 +82,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.4
 - Pytorch 1.13.1+cu116
 - Datasets 2.11.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2