Model save

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0967
-- Precision: 0.0059
-- Recall: 0.0102
-- F1: 0.0075
-- Accuracy: 0.1904
+- Loss: 2.2385
+- Precision: 0.0044
+- Recall: 0.0230
+- F1: 0.0074
+- Accuracy: 0.0622
 
 ## Model description
 
@@ -56,7 +56,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 2.121         | 1.0   | 14   | 2.0967          | 0.0059    | 0.0102 | 0.0075 | 0.1904   |
+| 2.237         | 1.0   | 14   | 2.2385          | 0.0044    | 0.0230 | 0.0074 | 0.0622   |
 
 
 ### Framework versions