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 [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0802
-- Precision: 0.0073
-- Recall: 0.0128
-- F1: 0.0093
-- Accuracy: 0.1767
+- Loss: 2.1844
+- Precision: 0.0036
+- Recall: 0.0205
+- F1: 0.0061
+- Accuracy: 0.0872
 
 ## Model description
 
@@ -56,7 +56,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 2.1106        | 1.0   | 14   | 2.0802          | 0.0073    | 0.0128 | 0.0093 | 0.1767   |
+| 2.199         | 1.0   | 14   | 2.1844          | 0.0036    | 0.0205 | 0.0061 | 0.0872   |
 
 
 ### Framework versions