update model card README.md

README.md

@@ -2,11 +2,24 @@
 license: mit
 tags:
 - generated_from_trainer
+datasets:
+- xtreme
 metrics:
 - f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-all
-  results: []
+  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
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,10 +27,10 @@ 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 None dataset.
+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: 0.1749
-- F1: 0.8540
+- Loss: 0.1363
+- F1: 0.8627
 
 ## Model description
 
@@ -48,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2938        | 1.0   | 835  | 0.1887          | 0.8185 |
-| 0.1547        | 2.0   | 1670 | 0.1709          | 0.8438 |
-| 0.1013        | 3.0   | 2505 | 0.1749          | 0.8540 |
+| 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 |
 
 
 ### Framework versions