update model card README.md

README.md

@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3626
-- Accuracy: 0.9082
-- Prec: 0.9061
-- Recall: 0.9082
-- F1: 0.9065
+- Loss: 0.4191
+- Accuracy: 0.8866
+- Prec: 0.8771
+- Recall: 0.8866
+- F1: 0.8808
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Prec   | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|
-| 0.2981        | 1.0   | 232  | 0.3442          | 0.9039   | 0.9014 | 0.9039 | 0.9018 |
-| 0.2037        | 2.0   | 464  | 0.3400          | 0.8996   | 0.8980 | 0.8996 | 0.8974 |
-| 0.1499        | 3.0   | 696  | 0.3501          | 0.9017   | 0.8979 | 0.9017 | 0.8980 |
-| 0.1043        | 4.0   | 928  | 0.3545          | 0.9028   | 0.8979 | 0.9028 | 0.8994 |
-| 0.0803        | 5.0   | 1160 | 0.3626          | 0.9082   | 0.9061 | 0.9082 | 0.9065 |
+| 1.1823        | 1.0   | 232  | 0.5940          | 0.8413   | 0.8273 | 0.8413 | 0.8224 |
+| 0.4591        | 2.0   | 464  | 0.4600          | 0.8607   | 0.8539 | 0.8607 | 0.8555 |
+| 0.3106        | 3.0   | 696  | 0.4160          | 0.8812   | 0.8763 | 0.8812 | 0.8785 |
+| 0.246         | 4.0   | 928  | 0.4113          | 0.8834   | 0.8766 | 0.8834 | 0.8796 |
+| 0.2013        | 5.0   | 1160 | 0.4191          | 0.8866   | 0.8771 | 0.8866 | 0.8808 |
 
 
 ### Framework versions