Update README.md

README.md

@@ -10,6 +10,8 @@ metrics:
 model-index:
 - name: roberta-gest-pred-seqeval-partialmatch
   results: []
+datasets:
+- Jsevisal/gesture_pred
 ---
 
 <!-- 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: 0.6909
-- Precision: 0.7952
-- Recall: 0.7778
-- F1: 0.7489
-- Accuracy: 0.8458
+- Loss: 0.624567	
+- Precision: 0.802308
+- Recall: 0.738156
+- F1: 0.744604
+- Accuracy: 0.834450
 
 ## Model description
 
@@ -71,4 +73,4 @@ 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