update model card README.md

README.md

@@ -2,26 +2,11 @@
 license: mit
 tags:
 - generated_from_trainer
-datasets:
-- xtreme
 metrics:
 - f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-de
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: xtreme
-      type: xtreme
-      config: PAN-X.de
-      split: validation
-      args: PAN-X.de
-    metrics:
-    - name: F1
-      type: f1
-      value: 0.8637192342752963
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +14,10 @@ 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: 0.1520
-- F1: 0.8637
+- Loss: 0.1700
+- F1: 0.8349
 
 ## Model description
 
@@ -57,15 +42,13 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2534        | 1.0   | 1049 | 0.1676          | 0.8320 |
-| 0.1325        | 2.0   | 2098 | 0.1461          | 0.8459 |
-| 0.0801        | 3.0   | 3147 | 0.1520          | 0.8637 |
+| 0.2716        | 1.0   | 1430 | 0.1700          | 0.8349 |
 
 
 ### Framework versions