update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [tkubotake/xlm-roberta-base-finetuned-panx-de](https://huggingface.co/tkubotake/xlm-roberta-base-finetuned-panx-de) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2025
-- F1: 0.8661
+- Loss: 0.2290
+- F1: 0.8629
 
 ## Model description
 
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0895        | 1.0   | 574  | 0.1661          | 0.8420 |
-| 0.0572        | 2.0   | 1148 | 0.1936          | 0.8572 |
-| 0.0305        | 3.0   | 1722 | 0.2025          | 0.8661 |
+| 0.1259        | 1.0   | 835  | 0.1879          | 0.8478 |
+| 0.078         | 2.0   | 1670 | 0.2121          | 0.8582 |
+| 0.0439        | 3.0   | 2505 | 0.2290          | 0.8629 |
 
 
 ### Framework versions
@@ -58,4 +58,4 @@ The following hyperparameters were used during training:
 - Transformers 4.24.0
 - Pytorch 1.12.1+cu113
 - Datasets 2.6.1
-- Tokenizers 0.13.1
+- Tokenizers 0.13.2