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: 1.0962
-- Accuracy: 0.5079
-- F1: 0.4697
+- Loss: 1.1103
+- Accuracy: 0.4979
+- F1: 0.4723
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.2296        | 1.0   | 151  | 1.1351          | 0.4657   | 0.4597 |
-| 1.0926        | 2.0   | 302  | 1.0962          | 0.5079   | 0.4697 |
+| 1.3204        | 1.0   | 151  | 1.1861          | 0.4547   | 0.4244 |
+| 1.1247        | 2.0   | 302  | 1.1103          | 0.4979   | 0.4723 |
 
 
 ### Framework versions
@@ -59,4 +59,4 @@ The following hyperparameters were used during training:
 - Transformers 4.23.1
 - Pytorch 1.12.1+cu113
 - Datasets 2.6.1
-- Tokenizers 0.13.1
+- Tokenizers 0.11.6