update model card README.md

README.md

@@ -2,24 +2,11 @@
 license: mit
 tags:
 - generated_from_trainer
-datasets:
-- xtreme
 metrics:
 - f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-all
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: xtreme
-      type: xtreme
-      args: PAN-X.de
-    metrics:
-    - name: F1
-      type: f1
-      value: 0.8627004891366169
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-finetuned-panx-all
 
-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: 0.1363
-- F1: 0.8627
+- Loss: 0.1643
+- F1: 0.8626
 
 ## Model description
 
@@ -61,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 525  | 0.1697          | 0.8179 |
-| 0.21          | 2.0   | 1050 | 0.1327          | 0.8516 |
-| 0.21          | 3.0   | 1575 | 0.1363          | 0.8627 |
+| 0.2891        | 1.0   | 715  | 0.1780          | 0.8288 |
+| 0.1472        | 2.0   | 1430 | 0.1633          | 0.8488 |
+| 0.0948        | 3.0   | 2145 | 0.1643          | 0.8626 |
 
 
 ### Framework versions