Training completed!

README.md

@@ -4,26 +4,11 @@ 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:
-  - 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: 0.8658038147138966
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,7 +16,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1363
 - F1: 0.8658
@@ -74,5 +59,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.44.2
 - Pytorch 2.4.0+cu121
-- Datasets 1.16.1
+- Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Sep09_18-49-19_61bf1aff165b/events.out.tfevents.1725907832.61bf1aff165b.208.0

@@ -1,3 +1,3 @@
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