Update README.md

README.md

@@ -10,6 +10,9 @@ metrics:
 model-index:
 - name: balanced-augmented-bert-large-gest-pred-seqeval-partialmatch-2
   results: []
+datasets:
+- Jsevisal/balanced_augmented_dataset_2
+pipeline_tag: token-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,10 +22,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5066
-- Precision: 0.9246
-- Recall: 0.9232
-- F1: 0.9156
+- Loss: 0.4012
+- Precision: 0.9108
+- Recall: 0.9274
+- F1: 0.9130
 - Accuracy: 0.9045
 
 ## Model description
@@ -81,4 +84,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.3
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2