update model card README.md

README.md

@@ -17,9 +17,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2142
-- Accuracy: 0.923
-- F1: 0.9231
+- Loss: 0.2263
+- Accuracy: 0.9225
+- F1: 0.9221
 
 ## Model description
 
@@ -50,12 +50,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8147        | 1.0   | 250  | 0.3168          | 0.9055   | 0.9013 |
-| 0.2464        | 2.0   | 500  | 0.2142          | 0.923    | 0.9231 |
+| 0.8571        | 1.0   | 250  | 0.3333          | 0.902    | 0.8982 |
+| 0.2507        | 2.0   | 500  | 0.2263          | 0.9225   | 0.9221 |
 
 
 ### Framework versions
 
 - Transformers 4.20.1
-- Pytorch 1.11.0+cu113
+- Pytorch 1.12.0+cu113
 - Tokenizers 0.12.1