Update README.md

README.md

@@ -12,7 +12,7 @@ widget:
   example_title: 'Text'
 
 model-index:
-- name: IMISLab/GreekT5-umt5-base-greekwikipedia
+- name: IMISLab/GreekWiki-umt5-base
   results:
   - task:
       type: summarization
@@ -41,10 +41,10 @@ model-index:
       verified: true
 ---
 
-# GreekT5 (umt5-base-greekwikipedia)
+# GreekWiki (umt5-base)
 
 A Greek encyclopedic article summarization model trained and evaluated on [GreekWikipedia](https://huggingface.co/datasets/IMISLab/GreekWikipedia/).  
-This model was trained as part of our research paper:
+This model was trained as part of our upcoming research paper:
 [Giarelis, N., Mastrokostas, C., & Karacapilidis, N. (2024) Greek Wikipedia: A Study on Abstractive Summarization]()
 For more information see the evaluation section below.
 
@@ -52,7 +52,7 @@ For more information see the evaluation section below.
 
 ## Training dataset
 
-The training dataset of `GreekT5-umt5-base-greekwikipedia` is [GreekWikipedia](), which is the first encyclopedic summarization dataset for the Greek Language.
+The training dataset of `GreekWiki (umt5-base)` is [GreekWikipedia](https://huggingface.co/datasets/IMISLab/GreekWikipedia/), which is the first encyclopedic summarization dataset for the Greek Language.
 This dataset contains 93,433 articles collected from the Greek part of [Wikipedia](https://el.wikipedia.org/).  
 
 ## Training configuration
@@ -83,7 +83,7 @@ LEAD|18.51|3.18|11.48|65.77
 ```python
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
 
-model_name = 'IMISLab/GreekT5-umt5-base-greekwikipedia'
+model_name = 'IMISLab/GreekWiki-umt5-base'
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)