update model card README.md

README.md

@@ -16,12 +16,12 @@ model-index:
       name: xtreme
       type: xtreme
       config: PAN-X.de
-      split: train
+      split: validation
       args: PAN-X.de
     metrics:
     - name: F1
       type: f1
-      value: 0.863677639046538
+      value: 0.8638300289723342
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1343
-- F1: 0.8637
+- Loss: 0.1358
+- F1: 0.8638
 
 ## Model description
 
@@ -63,14 +63,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2578        | 1.0   | 525  | 0.1562          | 0.8273 |
-| 0.1297        | 2.0   | 1050 | 0.1330          | 0.8474 |
-| 0.0809        | 3.0   | 1575 | 0.1343          | 0.8637 |
+| 0.2591        | 1.0   | 525  | 0.1621          | 0.8206 |
+| 0.1276        | 2.0   | 1050 | 0.1379          | 0.8486 |
+| 0.082         | 3.0   | 1575 | 0.1358          | 0.8638 |
 
 
 ### Framework versions
 
-- Transformers 4.21.2
-- Pytorch 1.12.1+cu113
-- Datasets 2.4.0
-- Tokenizers 0.12.1
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2