Update ref link in README.md

README.md

@@ -32,7 +32,7 @@ In this section, we introduce the details of training our model, including types
 
 We initialized the model weights to Mistral's model weights and modified the FFN structure to the ReGLU+ReLU structure, then continued pre-training for 200B tokens, divided into two phases:
 
-**First phase**: For the proportion of training corpus, we followed the data mix ratio and sources of the StableLM-3B model, conducting a further pre-training with 150B tokens.(link)
+**First phase**: For the proportion of training corpus, we followed the data mix ratio and sources of the StableLM-3B model ([link](https://stability.wandb.io/stability-llm/stable-lm/reports/StableLM-3B-4E1T--VmlldzoyMjU4?accessToken=u3zujipenkx5g7rtcj9qojjgxpconyjktjkli2po09nffrffdhhchq045vp0wyfo)), conducting a further pre-training with 150B tokens.
 
 The following table shows the hyper-paramters we used in our training process.