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: 0.2245
-- Accuracy: 0.9285
-- F1: 0.9285
+- Loss: 0.2192
+- Accuracy: 0.9265
+- F1: 0.9264
 
 ## Model description
 
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8567        | 1.0   | 250  | 0.3364          | 0.904    | 0.8989 |
-| 0.2625        | 2.0   | 500  | 0.2245          | 0.9285   | 0.9285 |
+| 0.8829        | 1.0   | 250  | 0.3189          | 0.9125   | 0.9102 |
+| 0.2566        | 2.0   | 500  | 0.2192          | 0.9265   | 0.9264 |
 
 
 ### Framework versions
 
 - Transformers 4.16.2
-- Pytorch 2.4.0+cu121
-- Datasets 3.0.0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
 - Tokenizers 0.19.1