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/distilbert-fa-zwnj-base](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0655
-- Precision: 0.7831
-- Recall: 0.8436
-- F1: 0.8122
-- Accuracy: 0.9807
+- Loss: 0.0296
+- Precision: 0.9199
+- Recall: 0.9378
+- F1: 0.9288
+- Accuracy: 0.9923
 
 ## Model description
 
@@ -42,7 +42,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.332         | 1.0   | 1821 | 0.1963          | 0.3958    | 0.5123 | 0.4466 | 0.9382   |
-| 0.1716        | 2.0   | 3642 | 0.1287          | 0.5640    | 0.6490 | 0.6035 | 0.9579   |
-| 0.1037        | 3.0   | 5463 | 0.0911          | 0.6542    | 0.7514 | 0.6995 | 0.9697   |
-| 0.0644        | 4.0   | 7284 | 0.0736          | 0.7380    | 0.8155 | 0.7749 | 0.9768   |
-| 0.0408        | 5.0   | 9105 | 0.0655          | 0.7831    | 0.8436 | 0.8122 | 0.9807   |
+| 0.1443        | 1.0   | 1820 | 0.0708          | 0.7875    | 0.7912 | 0.7894 | 0.9771   |
+| 0.0551        | 2.0   | 3640 | 0.0443          | 0.8602    | 0.8918 | 0.8757 | 0.9863   |
+| 0.0289        | 3.0   | 5460 | 0.0343          | 0.8914    | 0.9216 | 0.9062 | 0.9899   |
+| 0.0171        | 4.0   | 7280 | 0.0303          | 0.9142    | 0.9333 | 0.9236 | 0.9918   |
+| 0.0117        | 5.0   | 9100 | 0.0296          | 0.9199    | 0.9378 | 0.9288 | 0.9923   |
 
 
 ### Framework versions