Update README.md

README.md

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 This adapter was created by using the [PEFT](https://github.com/huggingface/peft) library and allowed the base model **BigScience/BLOOM 7B1** to be fine-tuned on the **Stanford's Alpaca Dataset** by using the method **LoRA**.
 
 ## Model Description
-[BERTIN-GPT-J-6B](https://huggingface.co/bertin-project/bertin-gpt-j-6B) is a Spanish finetuned version of GPT-J 6B, a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters.
+BigScience Large Open-science Open-access Multilingual Language Model
+
+[BLOOM 7B1](https://huggingface.co/bigscience/bloom-7b1)
 
 ## Training data
-Alpaca is a dataset of 52,000 instructions and demonstrations generated by OpenAI's `text-davinci-003` engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better.
+Alpaca is a dataset of **52,000** instructions and demonstrations generated by OpenAI's `text-davinci-003` engine. This instruction data can be used to conduct instruction-tuning for language models and make the language model follow instruction better.
 
 The authors built on the data generation pipeline from [Self-Instruct framework](https://github.com/yizhongw/self-instruct) and made the following modifications:
 
@@ -35,7 +37,7 @@ In a preliminary study, the authors also found that the 52K generated data to be
 
 ### Supported Tasks and Leaderboards
 
-The Alpaca dataset designed for instruction training pretrained language models.
+The Alpaca dataset is designed for instruction training pre-trained language models.
 
 ### Training procedure