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: 1.0225
-- Accuracy: 0.4552
-- Precision: 0.4180
-- Recall: 0.4184
-- F1: 0.3269
+- Loss: 0.9997
+- Accuracy: 0.5620
+- Precision: 0.5591
+- Recall: 0.5203
+- F1: 0.5078
 
 ## Model description
 
@@ -48,14 +48,17 @@ The following hyperparameters were used during training:
 - seed: 43
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 1.0699        | 3.99  | 926  | 1.0436          | 0.3937   | 0.4142    | 0.3685 | 0.2449 |
-| 1.0239        | 7.98  | 1852 | 1.0225          | 0.4552   | 0.4180    | 0.4184 | 0.3269 |
+| 1.0673        | 3.99  | 926  | 1.0361          | 0.4142   | 0.4092    | 0.3851 | 0.2750 |
+| 1.0144        | 7.98  | 1852 | 1.0147          | 0.5146   | 0.5851    | 0.4714 | 0.4184 |
+| 0.9882        | 11.97 | 2778 | 1.0045          | 0.5599   | 0.5728    | 0.5191 | 0.5047 |
+| 0.9699        | 15.97 | 3704 | 1.0004          | 0.5642   | 0.5620    | 0.5264 | 0.5193 |
+| 0.9591        | 19.96 | 4630 | 0.9997          | 0.5620   | 0.5591    | 0.5203 | 0.5078 |
 
 
 ### Framework versions