update model card README.md

README.md

@@ -1,13 +1,25 @@
 ---
 license: mit
-base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
+datasets:
+- xtreme
 metrics:
 - f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-de
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: xtreme
+      type: xtreme
+      args: PAN-X.de
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.8653353814644136
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +27,10 @@ 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 an unknown 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: 0.1361
-- F1: 0.8647
+- Loss: 0.1339
+- F1: 0.8653
 
 ## Model description
 
@@ -49,13 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2595        | 1.0   | 525  | 0.1540          | 0.8302 |
-| 0.1265        | 2.0   | 1050 | 0.1493          | 0.8468 |
-| 0.0806        | 3.0   | 1575 | 0.1361          | 0.8647 |
+| 0.2583        | 1.0   | 525  | 0.1596          | 0.8231 |
+| 0.1262        | 2.0   | 1050 | 0.1395          | 0.8468 |
+| 0.0824        | 3.0   | 1575 | 0.1339          | 0.8653 |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
-- Tokenizers 0.14.1
+- Transformers 4.16.2
+- Pytorch 2.1.0+cu118
+- Datasets 1.16.1
+- Tokenizers 0.15.0