Model save

README.md

@@ -17,7 +17,7 @@ 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: 0.1742
+- Loss: 0.0193
 - Accuracy: 1.0
 
 ## Model description
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6525        | 1.0   | 13   | 0.5139          | 1.0      |
-| 0.4026        | 2.0   | 26   | 0.2492          | 1.0      |
-| 0.226         | 3.0   | 39   | 0.1742          | 1.0      |
+| 0.5064        | 1.0   | 27   | 0.1733          | 1.0      |
+| 0.1088        | 2.0   | 54   | 0.0283          | 1.0      |
+| 0.0401        | 3.0   | 81   | 0.0193          | 1.0      |
 
 
 ### Framework versions
 
-- Transformers 4.33.3
+- Transformers 4.34.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1