End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0064
-- Accuracy: 0.9983
-- F1: 0.9983
-- Precision: 1.0
-- Recall: 0.9966
+- Loss: 0.1123
+- Accuracy: 0.9583
+- F1: 0.9763
+- Precision: 0.9677
+- Recall: 0.9851
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.2087        | 1.0   | 506  | 0.0149          | 0.9972   | 0.9972 | 0.9955    | 0.9989 |
-| 0.0114        | 2.0   | 1012 | 0.0092          | 0.9978   | 0.9978 | 0.9989    | 0.9966 |
-| 0.0047        | 3.0   | 1518 | 0.0064          | 0.9983   | 0.9983 | 1.0       | 0.9966 |
+| 0.1789        | 1.0   | 2015 | 0.1576          | 0.9384   | 0.9651 | 0.9571    | 0.9732 |
+| 0.1207        | 2.0   | 4030 | 0.1198          | 0.9559   | 0.9750 | 0.9652    | 0.9850 |
+| 0.0992        | 3.0   | 6045 | 0.1123          | 0.9583   | 0.9763 | 0.9677    | 0.9851 |
 
 
 ### Framework versions