update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1085
-- Precision: 0.9110
-- Recall: 0.9053
-- F1: 0.9081
-- Accuracy: 0.9633
+- Loss: 0.1079
+- Precision: 0.9141
+- Recall: 0.9076
+- F1: 0.9109
+- Accuracy: 0.9652
 
 ## Model description
 
@@ -54,9 +54,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1508        | 1.0   | 8806  | 0.1479          | 0.8877    | 0.8771 | 0.8824 | 0.9523   |
-| 0.1134        | 2.0   | 17612 | 0.1221          | 0.9030    | 0.8935 | 0.8982 | 0.9592   |
-| 0.0946        | 3.0   | 26418 | 0.1085          | 0.9110    | 0.9053 | 0.9081 | 0.9633   |
+| 0.1584        | 1.0   | 8806  | 0.1524          | 0.8780    | 0.8698 | 0.8739 | 0.9499   |
+| 0.1149        | 2.0   | 17612 | 0.1217          | 0.9032    | 0.8961 | 0.8996 | 0.9606   |
+| 0.0925        | 3.0   | 26418 | 0.1079          | 0.9141    | 0.9076 | 0.9109 | 0.9652   |
 
 
 ### Framework versions