Update README.md

README.md

@@ -10,6 +10,8 @@ metrics:
 model-index:
 - name: balanced-augmented-roberta-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
@@ -19,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5211
-- Precision: 0.9245
-- Recall: 0.9214
-- F1: 0.9159
-- Accuracy: 0.9027
+- Loss: 0.4965
+- Precision: 0.9214
+- Recall: 0.9180
+- F1: 0.9135
+- Accuracy: 0.9012
 
 ## Model description
 
@@ -81,4 +83,4 @@ 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