update model card README.md

README.md

@@ -15,11 +15,13 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
+      config: PAN-X.de
+      split: train
       args: PAN-X.de
     metrics:
     - name: F1
       type: f1
-      value: 0.8611443210930829
+      value: 0.863677639046538
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +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: 0.1405
-- F1: 0.8611
+- Loss: 0.1343
+- F1: 0.8637
 
 ## Model description
 
@@ -50,8 +52,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 24
+- eval_batch_size: 24
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -61,14 +63,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2542        | 1.0   | 787  | 0.1788          | 0.8083 |
-| 0.1307        | 2.0   | 1574 | 0.1371          | 0.8488 |
-| 0.0784        | 3.0   | 2361 | 0.1405          | 0.8611 |
+| 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 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.11.0+cu113
-- Datasets 1.16.1
-- Tokenizers 0.10.3
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1