Update README.md

README.md

@@ -11,7 +11,7 @@ metrics:
 pipeline_tag: text2text-generation
 ---
 
-# Model Card for mTk-QA_SQuAD-en_SQAD_ru
+# Model Card for mTk-AdversarialQA_en-SberQuAD_ru-1B
 This model is a generative in-context few-shot learner specialized in Russian. It was trained on a combination of English AdversarialQA and Russian SberQuAD datasets.
 
 You can find detailed information on [Project Github](https://github.com/fewshot-goes-multilingual/slavic-incontext-learning) & the referenced paper.
@@ -19,12 +19,12 @@ You can find detailed information on [Project Github](https://github.com/fewshot
 ## Model Details
 ### Model Description
 - **Developed by:** Michal Stefanik & Marek Kadlcik, Masaryk University
-- **Model type:** [mt5]
+- **Model type:** mt5
 - **Language(s) (NLP):** en,ru
 - **License:** MIT
-- **Finetuned from model [optional]:** google/mt5-large
+- **Finetuned from model:** google/mt5-large
 ### Model Sources
-- **Repository:** [https://github.com/fewshot-goes-multilingual/slavic-incontext-learning]
+- **Repository:** https://github.com/fewshot-goes-multilingual/slavic-incontext-learning
 - **Paper:** [To be filled]
 ## Uses
 This model is intended to be used in a few-shot in-context learning format in the target language (Russian), or in the source language (English, see below).