Update README.md

README.md

@@ -22,9 +22,9 @@ This is a Lora trained on llama2 7B Chat, with its dataset consisting of a large
 The fine-tuning dataset used consists of a small number of personally written conversations and a large amount of AI-generated dialogue content based on these, utilizing the alpaca-format. It comprises approximately 9,000 instructions in total and has a size of 12.6MB.
 
 ## Training
-使用Unsloth提供的Alpaca + Llama-3 8b Unsloth 2x faster finetuning.ipynb,於Google cloab上調用L4進行微調，訓練參數除將max_steps=60,改為num_train_epochs = 1外其他參數照舊
+使用UnslothAI提供的Alpaca + Llama-3 8b Unsloth 2x faster finetuning.ipynb,於Google cloab上調用L4進行微調，訓練參數除將max_steps=60,改為num_train_epochs = 1外其他參數照舊
 
-Using Unsoth's "Alpaca + Llama-3 8b Unsloth 2x faster finetuning.ipynb" on colab,using L4 GPU to fintuning,only change max_steps=60 to num_train_epochs = 1 in TrainingArguments  
+Using UnsothAI's "Alpaca + Llama-3 8b Unsloth 2x faster finetuning.ipynb" on colab,using L4 GPU to fintuning,only change max_steps=60 to num_train_epochs = 1 in TrainingArguments  
 
 
 ## Using