End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3586
-- Accuracy: 0.842
+- Loss: 0.3608
+- Accuracy: 0.84
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5243        | 1.0   | 625  | 0.3859          | 0.825    |
-| 0.3944        | 2.0   | 1250 | 0.3586          | 0.842    |
+| 0.5352        | 1.0   | 625  | 0.3941          | 0.835    |
+| 0.4063        | 2.0   | 1250 | 0.3608          | 0.84     |
 
 
 ### Framework versions