End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6078
+- Loss: 0.6195
 - Accuracy: 0.7015
 
 ## Model description
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 20   | 0.6109          | 0.7015   |
-| No log        | 2.0   | 40   | 0.6078          | 0.7015   |
+| No log        | 1.0   | 20   | 0.6175          | 0.7015   |
+| No log        | 2.0   | 40   | 0.6195          | 0.7015   |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
+- Transformers 4.33.3
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
 - Tokenizers 0.13.3