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: 0.6414
-- Accuracy: 1.0
-- F1: 1.0
+- Loss: 0.3953
+- Accuracy: 0.8545
+- F1: 0.8556
 
 ## Model description
 
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6892        | 1.0   | 8    | 0.6619          | 0.8889   | 0.8821 |
-| 0.665         | 2.0   | 16   | 0.6414          | 1.0      | 1.0    |
+| 0.627         | 1.0   | 24   | 0.5081          | 0.8727   | 0.8721 |
+| 0.4394        | 2.0   | 48   | 0.3953          | 0.8545   | 0.8556 |
 
 
 ### Framework versions
 
 - Transformers 4.19.2
 - Pytorch 1.11.0+cu113
-- Datasets 2.2.1
+- Datasets 2.2.2
 - Tokenizers 0.12.1