Update README.md

README.md

@@ -15,12 +15,12 @@ tags:
 
 XXXX is an updated version of [Mistral-7B-v0.2](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) specifically fine-tuned with SFT and LoRA adjustments.
 
-- It's trained both on publicly available datasets, like SQUAD-it, and datasets we've created in-house.
+- It's trained both on publicly available datasets, like [SQUAD-it](https://huggingface.co/datasets/squad_it), and datasets we've created in-house.
 - it's designed to understand and maintain context, making it ideal for Retrieval Augmented Generation (RAG) tasks and applications requiring contextual awareness.
   
 # Evaluation
 
-We evaluated the model using the same test sets as used for the Open Ita LLM Leaderboard 
+We evaluated the model using the same test sets as used for the [Open Ita LLM Leaderboard](https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard):
 
 | hellaswag_it acc_norm | arc_it acc_norm | m_mmlu_it 5-shot acc | Average |
 |:----------------------| :--------------- | :-------------------- | :------- |
@@ -59,7 +59,7 @@ print(decoded[0])
 
 xxxx has not been aligned to human preferences for safety within the RLHF phase or deployed with in-the-loop filtering of 
 responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so). It is also unknown what the size and composition 
-of the corpus was used to train the base model (mistralai/Mistral-7B-v0.2), however it is likely to have included a mix of Web data and technical sources 
+of the corpus was used to train the base model [mistralai/Mistral-7B-v0.2](https://huggingface.co/mistralai/Mistral-7B-v0.2), however it is likely to have included a mix of Web data and technical sources 
 like books and code.