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: 0.0749
-- Accuracy: 0.9847
-- F1: 0.9846
+- Loss: 0.0669
+- Accuracy: 0.9855
+- F1: 0.9855
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2878        | 1.0   | 1076 | 0.1167          | 0.9693   | 0.9694 |
-| 0.1068        | 2.0   | 2152 | 0.0834          | 0.9796   | 0.9793 |
-| 0.0602        | 3.0   | 3228 | 0.0892          | 0.9736   | 0.9737 |
-| 0.0346        | 4.0   | 4304 | 0.0729          | 0.9830   | 0.9829 |
-| 0.0299        | 5.0   | 5380 | 0.0749          | 0.9847   | 0.9846 |
+| 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 |
 
 
 ### Framework versions