End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1039
-- Accuracy: 0.9688
+- Loss: 0.1266
+- Accuracy: 0.9626
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2878        | 1.0   | 125  | 0.1953          | 0.9385   |
-| 0.1869        | 2.0   | 250  | 0.1206          | 0.9620   |
-| 0.1385        | 3.0   | 375  | 0.1039          | 0.9688   |
+| 0.351         | 1.0   | 125  | 0.2635          | 0.9184   |
+| 0.2222        | 2.0   | 250  | 0.1518          | 0.9550   |
+| 0.1669        | 3.0   | 375  | 0.1266          | 0.9626   |
 
 
 ### Framework versions