Update Learning Rate tooltip text
diff --git a/javascript/hints.js b/javascript/hints.js
index b98012f5e9b..a1fcc93b10f 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -91,6 +91,8 @@ titles = {
 
     "Weighted sum": "Result = A * (1 - M) + B * M",
     "Add difference": "Result = A + (B - C) * M",
+
+    "Learning rate": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
 }
 
 

![image](https://user-images.githubusercontent.com/42512391/196564891-2cb9cf0d-2562-4778-8b88-1dd671171b8c.png)

Note: In some testing that I did (via https://github.com/HunterVacui/stable-diffusion-webui/commit/9ae61f7dd80a6d381f1084a6a21ff7f66fd27cb0), most embeddings vectors seem to initialize with absolute min/max value ranges of (-0.05 to 0.05), and with average values in the range of (-0.00008,0.000019) +/- 0.014

![image](https://user-images.githubusercontent.com/42512391/196567706-666af299-58a8-444d-896c-9a07582953b8.png)
