update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3219
-- Precision: 0.7148
-- Recall: 0.6664
-- F1: 0.6898
-- Accuracy: 0.9220
+- Loss: 0.4599
+- Precision: 0.7258
+- Recall: 0.7077
+- F1: 0.7166
+- Accuracy: 0.9235
 
 ## Model description
 
@@ -48,15 +48,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 290  | 0.3463          | 0.6461    | 0.5700 | 0.6056 | 0.8971   |
-| 0.35          | 2.0   | 580  | 0.3329          | 0.6912    | 0.6429 | 0.6662 | 0.9131   |
-| 0.35          | 3.0   | 870  | 0.3219          | 0.7148    | 0.6664 | 0.6898 | 0.9220   |
+| No log        | 1.0   | 290  | 0.3998          | 0.7001    | 0.6635 | 0.6813 | 0.9163   |
+| 0.105         | 2.0   | 580  | 0.3746          | 0.7303    | 0.7018 | 0.7157 | 0.9235   |
+| 0.105         | 3.0   | 870  | 0.3891          | 0.725     | 0.7047 | 0.7147 | 0.9257   |
+| 0.0655        | 4.0   | 1160 | 0.4368          | 0.7173    | 0.6951 | 0.7061 | 0.9227   |
+| 0.0655        | 5.0   | 1450 | 0.4576          | 0.7279    | 0.7091 | 0.7184 | 0.9235   |
+| 0.0323        | 6.0   | 1740 | 0.4599          | 0.7258    | 0.7077 | 0.7166 | 0.9235   |
 
 
 ### Framework versions