update model card README.md

README.md

@@ -20,11 +20,11 @@ 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: 0.1916
-- Accuracy: 0.94
-- Precision: 0.908
-- Recall: 0.889
-- F1: 0.895
+- Loss: 0.1911
+- Accuracy: 0.938
+- Precision: 0.892
+- Recall: 0.89
+- F1: 0.889
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
-| No log        | 1.0   | 89   | 0.3858          | 0.87     | 0.869     | 0.762  | 0.786 |
-| No log        | 2.0   | 178  | 0.2568          | 0.922    | 0.916     | 0.839  | 0.863 |
-| No log        | 3.0   | 267  | 0.1916          | 0.94     | 0.908     | 0.889  | 0.895 |
+| No log        | 1.0   | 89   | 0.3664          | 0.872    | 0.773     | 0.662  | 0.672 |
+| No log        | 2.0   | 178  | 0.2458          | 0.914    | 0.872     | 0.821  | 0.844 |
+| No log        | 3.0   | 267  | 0.1911          | 0.938    | 0.892     | 0.89   | 0.889 |
 
 
 ### Framework versions