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: 0.1766
-- Accuracy: 0.9365
-- F1: 0.9366
+- Loss: 0.1618
+- Accuracy: 0.937
+- F1: 0.9371
 
 ## Model description
 
@@ -50,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8475        | 1.0   | 250  | 0.2908          | 0.911    | 0.9098 |
-| 0.2382        | 2.0   | 500  | 0.1928          | 0.929    | 0.9291 |
-| 0.1601        | 3.0   | 750  | 0.1766          | 0.9365   | 0.9366 |
+| 0.8381        | 1.0   | 250  | 0.2895          | 0.908    | 0.9046 |
+| 0.2242        | 2.0   | 500  | 0.1803          | 0.9295   | 0.9293 |
+| 0.1517        | 3.0   | 750  | 0.1618          | 0.937    | 0.9371 |
 
 
 ### Framework versions
 
 - Transformers 4.16.2
-- Pytorch 2.4.1+cu121
-- Datasets 3.0.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
 - Tokenizers 0.19.1