update model card README.md

README.md

@@ -16,8 +16,8 @@ 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: 0.0083
-- Accuracy: 0.9978
+- Loss: 0.0009
+- Accuracy: 1.0
 
 ## Model description
 
@@ -48,13 +48,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.07          | 1.0   | 521  | 0.0030          | 0.9978   |
-| 0.0042        | 2.0   | 1042 | 0.0083          | 0.9978   |
+| No log        | 1.0   | 412  | 0.0239          | 0.9946   |
+| 0.0678        | 2.0   | 824  | 0.0009          | 1.0      |
 
 
 ### Framework versions
 
 - Transformers 4.28.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.12.0
+- Datasets 2.13.1
 - Tokenizers 0.13.3