update model card README.md

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
-datasets:
-- xtreme
 metrics:
 - f1
 model-index:
@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-finetuned-panx-de
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1278
-- F1: 0.8713
+- Loss: 0.1696
+- F1: 0.8780
 
 ## Model description
 
@@ -51,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.248         | 1.0   | 625  | 0.1550          | 0.8218 |
-| 0.1222        | 2.0   | 1250 | 0.1253          | 0.8602 |
-| 0.0782        | 3.0   | 1875 | 0.1278          | 0.8713 |
+| 0.2787        | 1.0   | 1150 | 0.1796          | 0.8437 |
+| 0.151         | 2.0   | 2300 | 0.1653          | 0.8666 |
+| 0.096         | 3.0   | 3450 | 0.1696          | 0.8780 |
 
 
 ### Framework versions