Update README.md

README.md

@@ -41,7 +41,7 @@ This version of the Google T5-Base model has been fine-tuned on a bilingual data
 ### Model Sources
 
 <!-- Provide the basic links for the model. -->
-- **Repository:** https://github.com/leks-forever/t5-tuning
+- **Repository:** https://github.com/leks-forever/mt5-tuning
 <!-- - **Paper [optional]:** [More Information Needed] -->
 <!-- - **Demo [optional]:** [More Information Needed] -->
 
@@ -82,11 +82,6 @@ print(translation)
 
 The model was fine-tuned on the [bible-lezghian-russian](https://huggingface.co/datasets/leks-forever/bible-lezghian-russian) dataset, which contains 13,800 parallel sentences in Russian and Lezgian. The dataset was split into three parts: 90% for training, 5% for validation, and 5% for testing.
 
-### Preprocessing
-
-The preprocessing step included tokenization with a custom-trained SentencePiece NLLB-based tokenizer on the Russian-Lezgian corpus.
-
-
 
 #### Training Hyperparameters