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: 0.0650
-- Accuracy: 0.9822
+- Loss: 0.0958
+- Accuracy: 0.9753
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.156         | 1.0   | 125  | 0.0975          | 0.9729   |
-| 0.1088        | 2.0   | 250  | 0.0642          | 0.9838   |
-| 0.0614        | 3.0   | 375  | 0.0650          | 0.9822   |
+| 0.2693        | 1.0   | 125  | 0.1840          | 0.9513   |
+| 0.1658        | 2.0   | 250  | 0.1030          | 0.9737   |
+| 0.1037        | 3.0   | 375  | 0.0958          | 0.9753   |
 
 
 ### Framework versions