Update README.md

README.md

@@ -17,13 +17,12 @@ VBART is the first sequence-to-sequence LLM pre-trained on Turkish corpora from
 The model is capable of conditional text generation tasks such as text summarization, paraphrasing, and title generation when fine-tuned.
 It outperforms its multilingual counterparts, albeit being much smaller than other implementations.
 
-This repository contains pre-trained TensorFlow and Safetensors weights of VBARTMedium-Base.
+This repository contains pre-trained TensorFlow and Safetensors weights of VBART-Medium-Base.
 
 - **Developed by:** [VNGRS-AI](https://vngrs.com/ai/)
 - **Model type:**  Transformer encoder-decoder based on mBART architecture
 - **Language(s) (NLP):** Turkish
 - **License:** CC BY-NC-SA 4.0
-- **Finetuned from:** VBART-Large
 - **Paper:** [arXiv](https://arxiv.org/abs/2403.01308)
 
 ## Training Details