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 [HooshvareLab/bert-fa-zwnj-base](https://huggingface.co/HooshvareLab/bert-fa-zwnj-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0293
-- Precision: 0.9435
-- Recall: 0.9568
-- F1: 0.9501
-- Accuracy: 0.9941
+- Loss: 0.0297
+- Precision: 0.9481
+- Recall: 0.9582
+- F1: 0.9531
+- Accuracy: 0.9942
 
 ## Model description
 
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1202        | 1.0   | 1821 | 0.0528          | 0.8209    | 0.8587 | 0.8394 | 0.9831   |
-| 0.0383        | 2.0   | 3642 | 0.0348          | 0.9060    | 0.9189 | 0.9124 | 0.9899   |
-| 0.0168        | 3.0   | 5463 | 0.0278          | 0.9249    | 0.9420 | 0.9334 | 0.9923   |
-| 0.0077        | 4.0   | 7284 | 0.0274          | 0.9354    | 0.9517 | 0.9435 | 0.9936   |
-| 0.0037        | 5.0   | 9105 | 0.0293          | 0.9435    | 0.9568 | 0.9501 | 0.9941   |
+| 0.12          | 1.0   | 1821 | 0.0543          | 0.8387    | 0.8577 | 0.8481 | 0.9830   |
+| 0.0381        | 2.0   | 3642 | 0.0360          | 0.8941    | 0.9247 | 0.9091 | 0.9898   |
+| 0.0168        | 3.0   | 5463 | 0.0282          | 0.9273    | 0.9452 | 0.9362 | 0.9927   |
+| 0.0078        | 4.0   | 7284 | 0.0284          | 0.9391    | 0.9551 | 0.9470 | 0.9938   |
+| 0.0033        | 5.0   | 9105 | 0.0297          | 0.9481    | 0.9582 | 0.9531 | 0.9942   |
 
 
 ### Framework versions