update readme

README.md

@@ -5,15 +5,20 @@ tags:
 - sentence-transformers
 - text-classification
 pipeline_tag: text-classification
+language:
+- sv
 ---
 
 # gilleti/emotional-classification
 
-This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:
+This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for classification of emotions in Swedish text. The model supports multi-label classification. The model has been trained using an efficient few-shot learning technique that involves:
 
 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
 2. Training a classification head with features from the fine-tuned Sentence Transformer.
 
+## The data
+The model has been trained on news headlines that have been manually annotated at KBLab by the PhD student Nora Hansson Bittár.
+
 ## Usage
 
 To use this model for inference, first install the SetFit library:
@@ -46,4 +51,4 @@ publisher = {arXiv},
 year = {2022},
 copyright = {Creative Commons Attribution 4.0 International}
 }
-```
+```