Update README.md

README.md

@@ -63,17 +63,10 @@ for entity in entities:
 
 ### Training Data
 
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+The model was first fine-tuned on a weakly annotated dataset: German newspaper articles (total = 267,786) and German Wikipedia articles (total = 4,348).
+The weak annotation was based on the [database of public speakers](https://github.com/Leibniz-HBI/DBoeS-data/).
+In a second step the model was fine-tuned on a manually annotated dataset of 3090 sentences from similar sources. The test-split of this data was used for evaluation.
 
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
 
 
 #### Training Hyperparameters
@@ -85,34 +78,18 @@ for entity in entities:
 
 
 
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-
-[More Information Needed]
-
 #### Metrics
 
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
+- type: f1
+  value: 0.80
+- type: recall
+  value: 0.78
+- type: precision
+  value: 0.84
 
 
 ## Model Card Authors [optional]
-
+```css
 @misc{your_model_name,
   author = {Nenno, Sai},
   title = {Public Entity Recognition Model},
@@ -122,4 +99,4 @@ for entity in entities:
   url = {https://huggingface.co/Sami92/XLM-PER-B}
 }
 
-´
+```