update model card README.md

README.md

@@ -17,9 +17,9 @@ 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: 1.1103
-- Accuracy: 0.4979
-- F1: 0.4723
+- Loss: 1.0946
+- Accuracy: 0.5782
+- F1: 0.5769
 
 ## Model description
 
@@ -44,14 +44,17 @@ 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: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.3204        | 1.0   | 151  | 1.1861          | 0.4547   | 0.4244 |
-| 1.1247        | 2.0   | 302  | 1.1103          | 0.4979   | 0.4723 |
+| 1.1646        | 1.0   | 151  | 1.0626          | 0.5588   | 0.5566 |
+| 0.9281        | 2.0   | 302  | 0.9800          | 0.5869   | 0.5792 |
+| 0.8269        | 3.0   | 453  | 1.0134          | 0.5911   | 0.5775 |
+| 0.7335        | 4.0   | 604  | 1.0644          | 0.5861   | 0.5816 |
+| 0.6786        | 5.0   | 755  | 1.0946          | 0.5782   | 0.5769 |
 
 
 ### Framework versions
@@ -59,4 +62,4 @@ The following hyperparameters were used during training:
 - Transformers 4.23.1
 - Pytorch 1.12.1+cu113
 - Datasets 2.6.1
-- Tokenizers 0.11.6
+- Tokenizers 0.13.1