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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2976
-- Accuracy: 0.9850
-- F1: 0.9849
-- Recall: 0.9850
-- Precision: 0.9865
+- Loss: 0.0156
+- Accuracy: 1.0
+- F1: 1.0
+- Recall: 1.0
+- Precision: 1.0
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| 0.3641        | 1.0   | 167  | 0.2976          | 0.9850   | 0.9849 | 0.9850 | 0.9865    |
-| 0.3762        | 2.0   | 334  | 0.2976          | 0.9850   | 0.9849 | 0.9850 | 0.9865    |
-| 0.3783        | 3.0   | 501  | 0.2976          | 0.9850   | 0.9849 | 0.9850 | 0.9865    |
+| 0.0585        | 1.0   | 167  | 0.0354          | 0.9985   | 0.9985 | 0.9985 | 0.9986    |
+| 0.0457        | 2.0   | 334  | 0.0156          | 1.0      | 1.0    | 1.0    | 1.0       |
+| 0.0207        | 3.0   | 501  | 0.0125          | 1.0      | 1.0    | 1.0    | 1.0       |
 
 
 ### Framework versions