End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1516
+- Loss: 0.1744
 - Accuracy: 0.966
-- Precision: 0.9675
+- Precision: 0.9668
 - Recall: 0.966
-- F1: 0.9661
+- F1: 0.9660
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 1.7152        | 1.0   | 375  | 1.5745          | 0.94     | 0.9430    | 0.9400 | 0.9403 |
-| 0.2064        | 2.0   | 750  | 0.2286          | 0.964    | 0.9657    | 0.9640 | 0.9643 |
-| 0.1779        | 3.0   | 1125 | 0.1743          | 0.966    | 0.9670    | 0.9660 | 0.9661 |
-| 0.0208        | 4.0   | 1500 | 0.1547          | 0.966    | 0.9672    | 0.9660 | 0.9659 |
-| 0.0166        | 5.0   | 1875 | 0.1516          | 0.966    | 0.9675    | 0.966  | 0.9661 |
+| 1.6727        | 1.0   | 375  | 1.5301          | 0.93     | 0.9351    | 0.9300 | 0.9300 |
+| 0.2375        | 2.0   | 750  | 0.2548          | 0.958    | 0.9622    | 0.958  | 0.9583 |
+| 0.1424        | 3.0   | 1125 | 0.1922          | 0.96     | 0.9612    | 0.9600 | 0.9599 |
+| 0.0197        | 4.0   | 1500 | 0.1789          | 0.966    | 0.9670    | 0.966  | 0.9660 |
+| 0.0171        | 5.0   | 1875 | 0.1744          | 0.966    | 0.9668    | 0.966  | 0.9660 |
 
 
 ### Framework versions