Update README.md

README.md

@@ -9,6 +9,10 @@ metrics:
 model-index:
 - name: xlm-roberta-base-IDMGSP-danish
   results: []
+datasets:
+- ernlavr/IDMGSP-danish
+language:
+- da
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,23 +20,19 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-IDMGSP-danish
 
-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 [ernlavr/IDMGSP-danish](https://huggingface.co/datasets/ernlavr/IDMGSP-danish) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0276
 - Accuracy: {'accuracy': 0.8530452362901187}
 - F1: {'f1': 0.8630636995172495}
 
-## Model description
-
-More information needed
-
 ## Intended uses & limitations
 
-More information needed
+Binary classification, label `0` - text is not AI generated; label `1` - text is AI generated
 
 ## Training and evaluation data
 
-More information needed
+[ernlavr/IDMGSP-danish](https://huggingface.co/datasets/ernlavr/IDMGSP-danish) dataset.
 
 ## Training procedure
 
@@ -69,4 +69,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.0
 - Pytorch 2.0.1
 - Datasets 2.14.6
-- Tokenizers 0.14.1
+- Tokenizers 0.14.1