Training complete

README.md

@@ -20,11 +20,11 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1408
-- Precision: 0.5468
-- Recall: 0.4523
-- F1: 0.4951
-- Accuracy: 0.9518
+- Loss: 0.1367
+- Precision: 0.5765
+- Recall: 0.4800
+- F1: 0.5238
+- Accuracy: 0.9535
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 71   | 0.1657          | 0.4603    | 0.2935 | 0.3585 | 0.9383   |
-| No log        | 2.0   | 142  | 0.1466          | 0.5831    | 0.3838 | 0.4629 | 0.9493   |
-| No log        | 3.0   | 213  | 0.1408          | 0.5468    | 0.4523 | 0.4951 | 0.9518   |
+| No log        | 1.0   | 71   | 0.1588          | 0.4782    | 0.3308 | 0.3911 | 0.9408   |
+| No log        | 2.0   | 142  | 0.1397          | 0.5760    | 0.4213 | 0.4866 | 0.9517   |
+| No log        | 3.0   | 213  | 0.1367          | 0.5765    | 0.4800 | 0.5238 | 0.9535   |
 
 
 ### Framework versions