Update README.md

README.md

@@ -1,27 +1,16 @@
 ---
 library_name: transformers
 pipeline_tag: summarization
+tags:
+- politics,
+- summarization,
+- climate
+- political
+- party,
+- press
+- european
 ---
 
-tags:
-  - politics
-  - summarization
-  - climate change
-  - political party
-  - press release
-  - political communication
-  - European Union
-  - Speech
-license: afl-3.0
-language:
-  - en
-  - es
-  - da
-  - de
-  - it
-  - fr
-  - nl
-  - pl
 # Text Summarization
 
 The model used in this summarization task is a T5 summarization transformer-based language model fine-tuned for abstractive summarization. 
@@ -30,6 +19,8 @@ This model is intended to summarize political texts regarding generates summarie
 
 The model was fine-tuned on 10k political party press releases from 66 parties in 12 different countries via an abstract summary. 
 
+True class lables generated via GPT 4o summarization of 10k political party press releases
+
 ## Model Details
 
 Pretrained Model: The model uses a pretrained tokenizer and model from the Hugging Face transformers library (e.g., T5ForConditionalGeneration).
@@ -97,4 +88,4 @@ This training process allowed the model to learn not only the specific language
   journal={Comparative Political Studies},
   year={2024},
   publisher={SAGE Publications Sage CA: Los Angeles, CA}
-}
+}