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: 0.4215
-- Accuracy: 0.8320
-- F1: 0.8301
+- Loss: 0.4007
+- Accuracy: 0.8399
+- F1: 0.8384
 
 ## Model description
 
@@ -50,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.4474        | 1.0   | 191  | 0.4111          | 0.8294   | 0.8271 |
-| 0.3401        | 2.0   | 382  | 0.4051          | 0.8333   | 0.8313 |
-| 0.2876        | 3.0   | 573  | 0.4215          | 0.8320   | 0.8301 |
+| 0.4594        | 1.0   | 191  | 0.4059          | 0.8163   | 0.8164 |
+| 0.3399        | 2.0   | 382  | 0.3905          | 0.8346   | 0.8333 |
+| 0.2859        | 3.0   | 573  | 0.4007          | 0.8399   | 0.8384 |
 
 
 ### Framework versions
 
 - Transformers 4.25.1
-- Pytorch 1.13.0+cu116
+- Pytorch 1.13.1+cu116
 - Datasets 2.8.0
 - Tokenizers 0.13.2