training completed

README.md

@@ -18,9 +18,9 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0669
-- Accuracy: 0.9855
-- F1: 0.9855
+- Loss: 0.0568
+- Accuracy: 0.9872
+- F1: 0.9872
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.402         | 1.0   | 1076 | 0.1036          | 0.9710   | 0.9705 |
-| 0.1002        | 2.0   | 2152 | 0.0758          | 0.9779   | 0.9775 |
-| 0.0517        | 3.0   | 3228 | 0.0839          | 0.9779   | 0.9780 |
-| 0.0363        | 4.0   | 4304 | 0.0718          | 0.9855   | 0.9855 |
-| 0.0307        | 5.0   | 5380 | 0.0669          | 0.9855   | 0.9855 |
+| 0.2501        | 1.0   | 1076 | 0.0491          | 0.9864   | 0.9862 |
+| 0.0672        | 2.0   | 2152 | 0.0581          | 0.9864   | 0.9863 |
+| 0.0446        | 3.0   | 3228 | 0.0635          | 0.9779   | 0.9780 |
+| 0.03          | 4.0   | 4304 | 0.0566          | 0.9881   | 0.9880 |
+| 0.0273        | 5.0   | 5380 | 0.0568          | 0.9872   | 0.9872 |
 
 
 ### Framework versions