Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,2367 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.058978818356990814,
|
| 3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-crack-detector30epochs2\\checkpoint-2047",
|
| 4 |
+
"epoch": 29.846153846153847,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2910,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.1,
|
| 13 |
+
"learning_rate": 1.7182130584192443e-06,
|
| 14 |
+
"loss": 0.4366,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.21,
|
| 19 |
+
"learning_rate": 3.4364261168384886e-06,
|
| 20 |
+
"loss": 0.4056,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.31,
|
| 25 |
+
"learning_rate": 5.154639175257732e-06,
|
| 26 |
+
"loss": 0.3739,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.41,
|
| 31 |
+
"learning_rate": 6.872852233676977e-06,
|
| 32 |
+
"loss": 0.3896,
|
| 33 |
+
"step": 40
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.51,
|
| 37 |
+
"learning_rate": 8.591065292096221e-06,
|
| 38 |
+
"loss": 0.3859,
|
| 39 |
+
"step": 50
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.62,
|
| 43 |
+
"learning_rate": 1.0309278350515464e-05,
|
| 44 |
+
"loss": 0.3972,
|
| 45 |
+
"step": 60
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.72,
|
| 49 |
+
"learning_rate": 1.2027491408934708e-05,
|
| 50 |
+
"loss": 0.399,
|
| 51 |
+
"step": 70
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.82,
|
| 55 |
+
"learning_rate": 1.3745704467353954e-05,
|
| 56 |
+
"loss": 0.3618,
|
| 57 |
+
"step": 80
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.92,
|
| 61 |
+
"learning_rate": 1.5463917525773197e-05,
|
| 62 |
+
"loss": 0.3827,
|
| 63 |
+
"step": 90
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.99,
|
| 67 |
+
"eval_accuracy": {
|
| 68 |
+
"accuracy": 0.8887820512820512
|
| 69 |
+
},
|
| 70 |
+
"eval_f1": {
|
| 71 |
+
"f1": 0.8844282256354783
|
| 72 |
+
},
|
| 73 |
+
"eval_loss": 0.30944663286209106,
|
| 74 |
+
"eval_precision": {
|
| 75 |
+
"precision": 0.8908184085097209
|
| 76 |
+
},
|
| 77 |
+
"eval_recall": {
|
| 78 |
+
"recall": 0.8824026598746582
|
| 79 |
+
},
|
| 80 |
+
"eval_runtime": 17.9436,
|
| 81 |
+
"eval_samples_per_second": 173.878,
|
| 82 |
+
"eval_steps_per_second": 5.462,
|
| 83 |
+
"step": 97
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 1.03,
|
| 87 |
+
"learning_rate": 1.7182130584192442e-05,
|
| 88 |
+
"loss": 0.3571,
|
| 89 |
+
"step": 100
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 1.13,
|
| 93 |
+
"learning_rate": 1.8900343642611683e-05,
|
| 94 |
+
"loss": 0.313,
|
| 95 |
+
"step": 110
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.23,
|
| 99 |
+
"learning_rate": 2.0618556701030927e-05,
|
| 100 |
+
"loss": 0.306,
|
| 101 |
+
"step": 120
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 1.33,
|
| 105 |
+
"learning_rate": 2.2336769759450175e-05,
|
| 106 |
+
"loss": 0.3171,
|
| 107 |
+
"step": 130
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 1.44,
|
| 111 |
+
"learning_rate": 2.4054982817869417e-05,
|
| 112 |
+
"loss": 0.3036,
|
| 113 |
+
"step": 140
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 1.54,
|
| 117 |
+
"learning_rate": 2.5773195876288658e-05,
|
| 118 |
+
"loss": 0.2944,
|
| 119 |
+
"step": 150
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 1.64,
|
| 123 |
+
"learning_rate": 2.749140893470791e-05,
|
| 124 |
+
"loss": 0.2633,
|
| 125 |
+
"step": 160
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 1.74,
|
| 129 |
+
"learning_rate": 2.920962199312715e-05,
|
| 130 |
+
"loss": 0.2663,
|
| 131 |
+
"step": 170
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 1.85,
|
| 135 |
+
"learning_rate": 3.0927835051546395e-05,
|
| 136 |
+
"loss": 0.2544,
|
| 137 |
+
"step": 180
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.95,
|
| 141 |
+
"learning_rate": 3.2646048109965636e-05,
|
| 142 |
+
"loss": 0.3167,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 2.0,
|
| 147 |
+
"eval_accuracy": {
|
| 148 |
+
"accuracy": 0.8907051282051283
|
| 149 |
+
},
|
| 150 |
+
"eval_f1": {
|
| 151 |
+
"f1": 0.8909502908358744
|
| 152 |
+
},
|
| 153 |
+
"eval_loss": 0.30256137251853943,
|
| 154 |
+
"eval_precision": {
|
| 155 |
+
"precision": 0.8886505787148983
|
| 156 |
+
},
|
| 157 |
+
"eval_recall": {
|
| 158 |
+
"recall": 0.8960294776160731
|
| 159 |
+
},
|
| 160 |
+
"eval_runtime": 18.1552,
|
| 161 |
+
"eval_samples_per_second": 171.852,
|
| 162 |
+
"eval_steps_per_second": 5.398,
|
| 163 |
+
"step": 195
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 2.05,
|
| 167 |
+
"learning_rate": 3.4364261168384884e-05,
|
| 168 |
+
"loss": 0.3464,
|
| 169 |
+
"step": 200
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 2.15,
|
| 173 |
+
"learning_rate": 3.6082474226804125e-05,
|
| 174 |
+
"loss": 0.3633,
|
| 175 |
+
"step": 210
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"epoch": 2.26,
|
| 179 |
+
"learning_rate": 3.7800687285223366e-05,
|
| 180 |
+
"loss": 0.3191,
|
| 181 |
+
"step": 220
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 2.36,
|
| 185 |
+
"learning_rate": 3.9518900343642614e-05,
|
| 186 |
+
"loss": 0.2862,
|
| 187 |
+
"step": 230
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 2.46,
|
| 191 |
+
"learning_rate": 4.1237113402061855e-05,
|
| 192 |
+
"loss": 0.3021,
|
| 193 |
+
"step": 240
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 2.56,
|
| 197 |
+
"learning_rate": 4.2955326460481096e-05,
|
| 198 |
+
"loss": 0.3424,
|
| 199 |
+
"step": 250
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 2.67,
|
| 203 |
+
"learning_rate": 4.467353951890035e-05,
|
| 204 |
+
"loss": 0.3484,
|
| 205 |
+
"step": 260
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 2.77,
|
| 209 |
+
"learning_rate": 4.639175257731959e-05,
|
| 210 |
+
"loss": 0.3277,
|
| 211 |
+
"step": 270
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 2.87,
|
| 215 |
+
"learning_rate": 4.810996563573883e-05,
|
| 216 |
+
"loss": 0.2917,
|
| 217 |
+
"step": 280
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 2.97,
|
| 221 |
+
"learning_rate": 4.982817869415808e-05,
|
| 222 |
+
"loss": 0.3359,
|
| 223 |
+
"step": 290
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 2.99,
|
| 227 |
+
"eval_accuracy": {
|
| 228 |
+
"accuracy": 0.9333333333333333
|
| 229 |
+
},
|
| 230 |
+
"eval_f1": {
|
| 231 |
+
"f1": 0.9307736319130557
|
| 232 |
+
},
|
| 233 |
+
"eval_loss": 0.1916925311088562,
|
| 234 |
+
"eval_precision": {
|
| 235 |
+
"precision": 0.9329256773019474
|
| 236 |
+
},
|
| 237 |
+
"eval_recall": {
|
| 238 |
+
"recall": 0.9292905947776545
|
| 239 |
+
},
|
| 240 |
+
"eval_runtime": 17.7765,
|
| 241 |
+
"eval_samples_per_second": 175.512,
|
| 242 |
+
"eval_steps_per_second": 5.513,
|
| 243 |
+
"step": 292
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 3.08,
|
| 247 |
+
"learning_rate": 4.982817869415808e-05,
|
| 248 |
+
"loss": 0.3036,
|
| 249 |
+
"step": 300
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 3.18,
|
| 253 |
+
"learning_rate": 4.963726613211149e-05,
|
| 254 |
+
"loss": 0.2969,
|
| 255 |
+
"step": 310
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 3.28,
|
| 259 |
+
"learning_rate": 4.944635357006491e-05,
|
| 260 |
+
"loss": 0.2796,
|
| 261 |
+
"step": 320
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 3.38,
|
| 265 |
+
"learning_rate": 4.9255441008018334e-05,
|
| 266 |
+
"loss": 0.318,
|
| 267 |
+
"step": 330
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 3.49,
|
| 271 |
+
"learning_rate": 4.9064528445971745e-05,
|
| 272 |
+
"loss": 0.3019,
|
| 273 |
+
"step": 340
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 3.59,
|
| 277 |
+
"learning_rate": 4.887361588392517e-05,
|
| 278 |
+
"loss": 0.2571,
|
| 279 |
+
"step": 350
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 3.69,
|
| 283 |
+
"learning_rate": 4.868270332187858e-05,
|
| 284 |
+
"loss": 0.2755,
|
| 285 |
+
"step": 360
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 3.79,
|
| 289 |
+
"learning_rate": 4.8491790759832e-05,
|
| 290 |
+
"loss": 0.2548,
|
| 291 |
+
"step": 370
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 3.9,
|
| 295 |
+
"learning_rate": 4.8300878197785415e-05,
|
| 296 |
+
"loss": 0.2601,
|
| 297 |
+
"step": 380
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 4.0,
|
| 301 |
+
"learning_rate": 4.810996563573883e-05,
|
| 302 |
+
"loss": 0.2727,
|
| 303 |
+
"step": 390
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 4.0,
|
| 307 |
+
"eval_accuracy": {
|
| 308 |
+
"accuracy": 0.9355769230769231
|
| 309 |
+
},
|
| 310 |
+
"eval_f1": {
|
| 311 |
+
"f1": 0.932981605076714
|
| 312 |
+
},
|
| 313 |
+
"eval_loss": 0.17178113758563995,
|
| 314 |
+
"eval_precision": {
|
| 315 |
+
"precision": 0.9337254057728852
|
| 316 |
+
},
|
| 317 |
+
"eval_recall": {
|
| 318 |
+
"recall": 0.9333800262199571
|
| 319 |
+
},
|
| 320 |
+
"eval_runtime": 17.7852,
|
| 321 |
+
"eval_samples_per_second": 175.426,
|
| 322 |
+
"eval_steps_per_second": 5.51,
|
| 323 |
+
"step": 390
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 4.1,
|
| 327 |
+
"learning_rate": 4.791905307369225e-05,
|
| 328 |
+
"loss": 0.2403,
|
| 329 |
+
"step": 400
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 4.21,
|
| 333 |
+
"learning_rate": 4.772814051164567e-05,
|
| 334 |
+
"loss": 0.2257,
|
| 335 |
+
"step": 410
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 4.31,
|
| 339 |
+
"learning_rate": 4.7537227949599086e-05,
|
| 340 |
+
"loss": 0.2515,
|
| 341 |
+
"step": 420
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 4.41,
|
| 345 |
+
"learning_rate": 4.7346315387552504e-05,
|
| 346 |
+
"loss": 0.2574,
|
| 347 |
+
"step": 430
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 4.51,
|
| 351 |
+
"learning_rate": 4.715540282550592e-05,
|
| 352 |
+
"loss": 0.233,
|
| 353 |
+
"step": 440
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 4.62,
|
| 357 |
+
"learning_rate": 4.696449026345934e-05,
|
| 358 |
+
"loss": 0.2705,
|
| 359 |
+
"step": 450
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 4.72,
|
| 363 |
+
"learning_rate": 4.677357770141276e-05,
|
| 364 |
+
"loss": 0.2497,
|
| 365 |
+
"step": 460
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 4.82,
|
| 369 |
+
"learning_rate": 4.6582665139366174e-05,
|
| 370 |
+
"loss": 0.1984,
|
| 371 |
+
"step": 470
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 4.92,
|
| 375 |
+
"learning_rate": 4.639175257731959e-05,
|
| 376 |
+
"loss": 0.2538,
|
| 377 |
+
"step": 480
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 4.99,
|
| 381 |
+
"eval_accuracy": {
|
| 382 |
+
"accuracy": 0.958974358974359
|
| 383 |
+
},
|
| 384 |
+
"eval_f1": {
|
| 385 |
+
"f1": 0.9582443373536393
|
| 386 |
+
},
|
| 387 |
+
"eval_loss": 0.12906195223331451,
|
| 388 |
+
"eval_precision": {
|
| 389 |
+
"precision": 0.9571693948964237
|
| 390 |
+
},
|
| 391 |
+
"eval_recall": {
|
| 392 |
+
"recall": 0.9596991650961229
|
| 393 |
+
},
|
| 394 |
+
"eval_runtime": 17.8791,
|
| 395 |
+
"eval_samples_per_second": 174.506,
|
| 396 |
+
"eval_steps_per_second": 5.481,
|
| 397 |
+
"step": 487
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 5.03,
|
| 401 |
+
"learning_rate": 4.6200840015273e-05,
|
| 402 |
+
"loss": 0.2345,
|
| 403 |
+
"step": 490
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 5.13,
|
| 407 |
+
"learning_rate": 4.600992745322643e-05,
|
| 408 |
+
"loss": 0.2075,
|
| 409 |
+
"step": 500
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 5.23,
|
| 413 |
+
"learning_rate": 4.581901489117984e-05,
|
| 414 |
+
"loss": 0.1964,
|
| 415 |
+
"step": 510
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 5.33,
|
| 419 |
+
"learning_rate": 4.562810232913326e-05,
|
| 420 |
+
"loss": 0.2156,
|
| 421 |
+
"step": 520
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 5.44,
|
| 425 |
+
"learning_rate": 4.5437189767086673e-05,
|
| 426 |
+
"loss": 0.2044,
|
| 427 |
+
"step": 530
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"epoch": 5.54,
|
| 431 |
+
"learning_rate": 4.524627720504009e-05,
|
| 432 |
+
"loss": 0.2315,
|
| 433 |
+
"step": 540
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 5.64,
|
| 437 |
+
"learning_rate": 4.5055364642993516e-05,
|
| 438 |
+
"loss": 0.209,
|
| 439 |
+
"step": 550
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 5.74,
|
| 443 |
+
"learning_rate": 4.4864452080946926e-05,
|
| 444 |
+
"loss": 0.2268,
|
| 445 |
+
"step": 560
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 5.85,
|
| 449 |
+
"learning_rate": 4.467353951890035e-05,
|
| 450 |
+
"loss": 0.2072,
|
| 451 |
+
"step": 570
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 5.95,
|
| 455 |
+
"learning_rate": 4.448262695685376e-05,
|
| 456 |
+
"loss": 0.2325,
|
| 457 |
+
"step": 580
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 6.0,
|
| 461 |
+
"eval_accuracy": {
|
| 462 |
+
"accuracy": 0.9618589743589744
|
| 463 |
+
},
|
| 464 |
+
"eval_f1": {
|
| 465 |
+
"f1": 0.9613004013514793
|
| 466 |
+
},
|
| 467 |
+
"eval_loss": 0.12025142461061478,
|
| 468 |
+
"eval_precision": {
|
| 469 |
+
"precision": 0.9631754338520714
|
| 470 |
+
},
|
| 471 |
+
"eval_recall": {
|
| 472 |
+
"recall": 0.9597128400571953
|
| 473 |
+
},
|
| 474 |
+
"eval_runtime": 17.8054,
|
| 475 |
+
"eval_samples_per_second": 175.228,
|
| 476 |
+
"eval_steps_per_second": 5.504,
|
| 477 |
+
"step": 585
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 6.05,
|
| 481 |
+
"learning_rate": 4.429171439480718e-05,
|
| 482 |
+
"loss": 0.2138,
|
| 483 |
+
"step": 590
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 6.15,
|
| 487 |
+
"learning_rate": 4.41008018327606e-05,
|
| 488 |
+
"loss": 0.1711,
|
| 489 |
+
"step": 600
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 6.26,
|
| 493 |
+
"learning_rate": 4.3909889270714015e-05,
|
| 494 |
+
"loss": 0.1854,
|
| 495 |
+
"step": 610
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 6.36,
|
| 499 |
+
"learning_rate": 4.371897670866743e-05,
|
| 500 |
+
"loss": 0.2339,
|
| 501 |
+
"step": 620
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 6.46,
|
| 505 |
+
"learning_rate": 4.352806414662085e-05,
|
| 506 |
+
"loss": 0.1882,
|
| 507 |
+
"step": 630
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 6.56,
|
| 511 |
+
"learning_rate": 4.333715158457427e-05,
|
| 512 |
+
"loss": 0.1845,
|
| 513 |
+
"step": 640
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 6.67,
|
| 517 |
+
"learning_rate": 4.3146239022527685e-05,
|
| 518 |
+
"loss": 0.1987,
|
| 519 |
+
"step": 650
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 6.77,
|
| 523 |
+
"learning_rate": 4.2955326460481096e-05,
|
| 524 |
+
"loss": 0.1729,
|
| 525 |
+
"step": 660
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 6.87,
|
| 529 |
+
"learning_rate": 4.276441389843452e-05,
|
| 530 |
+
"loss": 0.1943,
|
| 531 |
+
"step": 670
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 6.97,
|
| 535 |
+
"learning_rate": 4.257350133638794e-05,
|
| 536 |
+
"loss": 0.1881,
|
| 537 |
+
"step": 680
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 6.99,
|
| 541 |
+
"eval_accuracy": {
|
| 542 |
+
"accuracy": 0.9663461538461539
|
| 543 |
+
},
|
| 544 |
+
"eval_f1": {
|
| 545 |
+
"f1": 0.9664890039586649
|
| 546 |
+
},
|
| 547 |
+
"eval_loss": 0.11088057607412338,
|
| 548 |
+
"eval_precision": {
|
| 549 |
+
"precision": 0.9656661330930015
|
| 550 |
+
},
|
| 551 |
+
"eval_recall": {
|
| 552 |
+
"recall": 0.9675110508627889
|
| 553 |
+
},
|
| 554 |
+
"eval_runtime": 18.3707,
|
| 555 |
+
"eval_samples_per_second": 169.836,
|
| 556 |
+
"eval_steps_per_second": 5.335,
|
| 557 |
+
"step": 682
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 7.08,
|
| 561 |
+
"learning_rate": 4.2382588774341356e-05,
|
| 562 |
+
"loss": 0.1836,
|
| 563 |
+
"step": 690
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 7.18,
|
| 567 |
+
"learning_rate": 4.2191676212294774e-05,
|
| 568 |
+
"loss": 0.1572,
|
| 569 |
+
"step": 700
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 7.28,
|
| 573 |
+
"learning_rate": 4.2000763650248184e-05,
|
| 574 |
+
"loss": 0.1688,
|
| 575 |
+
"step": 710
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 7.38,
|
| 579 |
+
"learning_rate": 4.180985108820161e-05,
|
| 580 |
+
"loss": 0.1811,
|
| 581 |
+
"step": 720
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 7.49,
|
| 585 |
+
"learning_rate": 4.161893852615502e-05,
|
| 586 |
+
"loss": 0.2036,
|
| 587 |
+
"step": 730
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 7.59,
|
| 591 |
+
"learning_rate": 4.1428025964108444e-05,
|
| 592 |
+
"loss": 0.1844,
|
| 593 |
+
"step": 740
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 7.69,
|
| 597 |
+
"learning_rate": 4.1237113402061855e-05,
|
| 598 |
+
"loss": 0.174,
|
| 599 |
+
"step": 750
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 7.79,
|
| 603 |
+
"learning_rate": 4.104620084001527e-05,
|
| 604 |
+
"loss": 0.1628,
|
| 605 |
+
"step": 760
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 7.9,
|
| 609 |
+
"learning_rate": 4.085528827796869e-05,
|
| 610 |
+
"loss": 0.1708,
|
| 611 |
+
"step": 770
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 8.0,
|
| 615 |
+
"learning_rate": 4.066437571592211e-05,
|
| 616 |
+
"loss": 0.1675,
|
| 617 |
+
"step": 780
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 8.0,
|
| 621 |
+
"eval_accuracy": {
|
| 622 |
+
"accuracy": 0.9653846153846154
|
| 623 |
+
},
|
| 624 |
+
"eval_f1": {
|
| 625 |
+
"f1": 0.9660146786449392
|
| 626 |
+
},
|
| 627 |
+
"eval_loss": 0.10267416387796402,
|
| 628 |
+
"eval_precision": {
|
| 629 |
+
"precision": 0.9647284027753311
|
| 630 |
+
},
|
| 631 |
+
"eval_recall": {
|
| 632 |
+
"recall": 0.9674012564920079
|
| 633 |
+
},
|
| 634 |
+
"eval_runtime": 18.2557,
|
| 635 |
+
"eval_samples_per_second": 170.906,
|
| 636 |
+
"eval_steps_per_second": 5.368,
|
| 637 |
+
"step": 780
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 8.1,
|
| 641 |
+
"learning_rate": 4.047346315387553e-05,
|
| 642 |
+
"loss": 0.1583,
|
| 643 |
+
"step": 790
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 8.21,
|
| 647 |
+
"learning_rate": 4.028255059182894e-05,
|
| 648 |
+
"loss": 0.1673,
|
| 649 |
+
"step": 800
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 8.31,
|
| 653 |
+
"learning_rate": 4.009163802978236e-05,
|
| 654 |
+
"loss": 0.1805,
|
| 655 |
+
"step": 810
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 8.41,
|
| 659 |
+
"learning_rate": 3.990072546773578e-05,
|
| 660 |
+
"loss": 0.1702,
|
| 661 |
+
"step": 820
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 8.51,
|
| 665 |
+
"learning_rate": 3.9709812905689196e-05,
|
| 666 |
+
"loss": 0.1659,
|
| 667 |
+
"step": 830
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 8.62,
|
| 671 |
+
"learning_rate": 3.9518900343642614e-05,
|
| 672 |
+
"loss": 0.1593,
|
| 673 |
+
"step": 840
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 8.72,
|
| 677 |
+
"learning_rate": 3.932798778159603e-05,
|
| 678 |
+
"loss": 0.1556,
|
| 679 |
+
"step": 850
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 8.82,
|
| 683 |
+
"learning_rate": 3.913707521954945e-05,
|
| 684 |
+
"loss": 0.1559,
|
| 685 |
+
"step": 860
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 8.92,
|
| 689 |
+
"learning_rate": 3.894616265750287e-05,
|
| 690 |
+
"loss": 0.1584,
|
| 691 |
+
"step": 870
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 8.99,
|
| 695 |
+
"eval_accuracy": {
|
| 696 |
+
"accuracy": 0.9657051282051282
|
| 697 |
+
},
|
| 698 |
+
"eval_f1": {
|
| 699 |
+
"f1": 0.9659360573535458
|
| 700 |
+
},
|
| 701 |
+
"eval_loss": 0.10572108626365662,
|
| 702 |
+
"eval_precision": {
|
| 703 |
+
"precision": 0.9647079224848474
|
| 704 |
+
},
|
| 705 |
+
"eval_recall": {
|
| 706 |
+
"recall": 0.9672918952982554
|
| 707 |
+
},
|
| 708 |
+
"eval_runtime": 18.9889,
|
| 709 |
+
"eval_samples_per_second": 164.306,
|
| 710 |
+
"eval_steps_per_second": 5.161,
|
| 711 |
+
"step": 877
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 9.03,
|
| 715 |
+
"learning_rate": 3.875525009545628e-05,
|
| 716 |
+
"loss": 0.1552,
|
| 717 |
+
"step": 880
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 9.13,
|
| 721 |
+
"learning_rate": 3.85643375334097e-05,
|
| 722 |
+
"loss": 0.1536,
|
| 723 |
+
"step": 890
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 9.23,
|
| 727 |
+
"learning_rate": 3.837342497136312e-05,
|
| 728 |
+
"loss": 0.1486,
|
| 729 |
+
"step": 900
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 9.33,
|
| 733 |
+
"learning_rate": 3.818251240931654e-05,
|
| 734 |
+
"loss": 0.1404,
|
| 735 |
+
"step": 910
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 9.44,
|
| 739 |
+
"learning_rate": 3.7991599847269955e-05,
|
| 740 |
+
"loss": 0.1721,
|
| 741 |
+
"step": 920
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 9.54,
|
| 745 |
+
"learning_rate": 3.7800687285223366e-05,
|
| 746 |
+
"loss": 0.144,
|
| 747 |
+
"step": 930
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 9.64,
|
| 751 |
+
"learning_rate": 3.760977472317679e-05,
|
| 752 |
+
"loss": 0.1567,
|
| 753 |
+
"step": 940
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 9.74,
|
| 757 |
+
"learning_rate": 3.74188621611302e-05,
|
| 758 |
+
"loss": 0.1481,
|
| 759 |
+
"step": 950
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 9.85,
|
| 763 |
+
"learning_rate": 3.7227949599083626e-05,
|
| 764 |
+
"loss": 0.1601,
|
| 765 |
+
"step": 960
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 9.95,
|
| 769 |
+
"learning_rate": 3.7037037037037037e-05,
|
| 770 |
+
"loss": 0.1316,
|
| 771 |
+
"step": 970
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 10.0,
|
| 775 |
+
"eval_accuracy": {
|
| 776 |
+
"accuracy": 0.9685897435897436
|
| 777 |
+
},
|
| 778 |
+
"eval_f1": {
|
| 779 |
+
"f1": 0.9692218377747261
|
| 780 |
+
},
|
| 781 |
+
"eval_loss": 0.09553277492523193,
|
| 782 |
+
"eval_precision": {
|
| 783 |
+
"precision": 0.9675383761327713
|
| 784 |
+
},
|
| 785 |
+
"eval_recall": {
|
| 786 |
+
"recall": 0.9710583062570752
|
| 787 |
+
},
|
| 788 |
+
"eval_runtime": 18.2751,
|
| 789 |
+
"eval_samples_per_second": 170.724,
|
| 790 |
+
"eval_steps_per_second": 5.362,
|
| 791 |
+
"step": 975
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 10.05,
|
| 795 |
+
"learning_rate": 3.6846124474990454e-05,
|
| 796 |
+
"loss": 0.1538,
|
| 797 |
+
"step": 980
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 10.15,
|
| 801 |
+
"learning_rate": 3.665521191294387e-05,
|
| 802 |
+
"loss": 0.1388,
|
| 803 |
+
"step": 990
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 10.26,
|
| 807 |
+
"learning_rate": 3.646429935089729e-05,
|
| 808 |
+
"loss": 0.1542,
|
| 809 |
+
"step": 1000
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 10.36,
|
| 813 |
+
"learning_rate": 3.6273386788850714e-05,
|
| 814 |
+
"loss": 0.138,
|
| 815 |
+
"step": 1010
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 10.46,
|
| 819 |
+
"learning_rate": 3.6082474226804125e-05,
|
| 820 |
+
"loss": 0.1372,
|
| 821 |
+
"step": 1020
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 10.56,
|
| 825 |
+
"learning_rate": 3.589156166475754e-05,
|
| 826 |
+
"loss": 0.1344,
|
| 827 |
+
"step": 1030
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 10.67,
|
| 831 |
+
"learning_rate": 3.570064910271096e-05,
|
| 832 |
+
"loss": 0.172,
|
| 833 |
+
"step": 1040
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 10.77,
|
| 837 |
+
"learning_rate": 3.550973654066438e-05,
|
| 838 |
+
"loss": 0.1428,
|
| 839 |
+
"step": 1050
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 10.87,
|
| 843 |
+
"learning_rate": 3.5318823978617795e-05,
|
| 844 |
+
"loss": 0.1306,
|
| 845 |
+
"step": 1060
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 10.97,
|
| 849 |
+
"learning_rate": 3.512791141657121e-05,
|
| 850 |
+
"loss": 0.1441,
|
| 851 |
+
"step": 1070
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 10.99,
|
| 855 |
+
"eval_accuracy": {
|
| 856 |
+
"accuracy": 0.9730769230769231
|
| 857 |
+
},
|
| 858 |
+
"eval_f1": {
|
| 859 |
+
"f1": 0.9729927507703455
|
| 860 |
+
},
|
| 861 |
+
"eval_loss": 0.0812140703201294,
|
| 862 |
+
"eval_precision": {
|
| 863 |
+
"precision": 0.9732015595516862
|
| 864 |
+
},
|
| 865 |
+
"eval_recall": {
|
| 866 |
+
"recall": 0.9731353308954022
|
| 867 |
+
},
|
| 868 |
+
"eval_runtime": 18.3727,
|
| 869 |
+
"eval_samples_per_second": 169.817,
|
| 870 |
+
"eval_steps_per_second": 5.334,
|
| 871 |
+
"step": 1072
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 11.08,
|
| 875 |
+
"learning_rate": 3.493699885452463e-05,
|
| 876 |
+
"loss": 0.1297,
|
| 877 |
+
"step": 1080
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 11.18,
|
| 881 |
+
"learning_rate": 3.474608629247805e-05,
|
| 882 |
+
"loss": 0.1292,
|
| 883 |
+
"step": 1090
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 11.28,
|
| 887 |
+
"learning_rate": 3.455517373043146e-05,
|
| 888 |
+
"loss": 0.148,
|
| 889 |
+
"step": 1100
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 11.38,
|
| 893 |
+
"learning_rate": 3.4364261168384884e-05,
|
| 894 |
+
"loss": 0.1221,
|
| 895 |
+
"step": 1110
|
| 896 |
+
},
|
| 897 |
+
{
|
| 898 |
+
"epoch": 11.49,
|
| 899 |
+
"learning_rate": 3.41733486063383e-05,
|
| 900 |
+
"loss": 0.1326,
|
| 901 |
+
"step": 1120
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 11.59,
|
| 905 |
+
"learning_rate": 3.398243604429171e-05,
|
| 906 |
+
"loss": 0.1179,
|
| 907 |
+
"step": 1130
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 11.69,
|
| 911 |
+
"learning_rate": 3.379152348224514e-05,
|
| 912 |
+
"loss": 0.0926,
|
| 913 |
+
"step": 1140
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 11.79,
|
| 917 |
+
"learning_rate": 3.360061092019855e-05,
|
| 918 |
+
"loss": 0.1297,
|
| 919 |
+
"step": 1150
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 11.9,
|
| 923 |
+
"learning_rate": 3.340969835815197e-05,
|
| 924 |
+
"loss": 0.1514,
|
| 925 |
+
"step": 1160
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 12.0,
|
| 929 |
+
"learning_rate": 3.321878579610538e-05,
|
| 930 |
+
"loss": 0.1376,
|
| 931 |
+
"step": 1170
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"epoch": 12.0,
|
| 935 |
+
"eval_accuracy": {
|
| 936 |
+
"accuracy": 0.9756410256410256
|
| 937 |
+
},
|
| 938 |
+
"eval_f1": {
|
| 939 |
+
"f1": 0.9758693940548872
|
| 940 |
+
},
|
| 941 |
+
"eval_loss": 0.0736234188079834,
|
| 942 |
+
"eval_precision": {
|
| 943 |
+
"precision": 0.9760043308640731
|
| 944 |
+
},
|
| 945 |
+
"eval_recall": {
|
| 946 |
+
"recall": 0.9758007649051665
|
| 947 |
+
},
|
| 948 |
+
"eval_runtime": 18.2656,
|
| 949 |
+
"eval_samples_per_second": 170.813,
|
| 950 |
+
"eval_steps_per_second": 5.365,
|
| 951 |
+
"step": 1170
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 12.1,
|
| 955 |
+
"learning_rate": 3.30278732340588e-05,
|
| 956 |
+
"loss": 0.1302,
|
| 957 |
+
"step": 1180
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 12.21,
|
| 961 |
+
"learning_rate": 3.283696067201222e-05,
|
| 962 |
+
"loss": 0.1298,
|
| 963 |
+
"step": 1190
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 12.31,
|
| 967 |
+
"learning_rate": 3.2646048109965636e-05,
|
| 968 |
+
"loss": 0.1108,
|
| 969 |
+
"step": 1200
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 12.41,
|
| 973 |
+
"learning_rate": 3.2455135547919053e-05,
|
| 974 |
+
"loss": 0.1264,
|
| 975 |
+
"step": 1210
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 12.51,
|
| 979 |
+
"learning_rate": 3.226422298587247e-05,
|
| 980 |
+
"loss": 0.1055,
|
| 981 |
+
"step": 1220
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 12.62,
|
| 985 |
+
"learning_rate": 3.207331042382589e-05,
|
| 986 |
+
"loss": 0.1196,
|
| 987 |
+
"step": 1230
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 12.72,
|
| 991 |
+
"learning_rate": 3.1882397861779306e-05,
|
| 992 |
+
"loss": 0.1183,
|
| 993 |
+
"step": 1240
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 12.82,
|
| 997 |
+
"learning_rate": 3.1691485299732724e-05,
|
| 998 |
+
"loss": 0.1104,
|
| 999 |
+
"step": 1250
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 12.92,
|
| 1003 |
+
"learning_rate": 3.150057273768614e-05,
|
| 1004 |
+
"loss": 0.1222,
|
| 1005 |
+
"step": 1260
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 12.99,
|
| 1009 |
+
"eval_accuracy": {
|
| 1010 |
+
"accuracy": 0.9782051282051282
|
| 1011 |
+
},
|
| 1012 |
+
"eval_f1": {
|
| 1013 |
+
"f1": 0.9787252371705304
|
| 1014 |
+
},
|
| 1015 |
+
"eval_loss": 0.07423186302185059,
|
| 1016 |
+
"eval_precision": {
|
| 1017 |
+
"precision": 0.9795111438345339
|
| 1018 |
+
},
|
| 1019 |
+
"eval_recall": {
|
| 1020 |
+
"recall": 0.9781211797756912
|
| 1021 |
+
},
|
| 1022 |
+
"eval_runtime": 18.4612,
|
| 1023 |
+
"eval_samples_per_second": 169.003,
|
| 1024 |
+
"eval_steps_per_second": 5.308,
|
| 1025 |
+
"step": 1267
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 13.03,
|
| 1029 |
+
"learning_rate": 3.130966017563956e-05,
|
| 1030 |
+
"loss": 0.1093,
|
| 1031 |
+
"step": 1270
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 13.13,
|
| 1035 |
+
"learning_rate": 3.111874761359298e-05,
|
| 1036 |
+
"loss": 0.1213,
|
| 1037 |
+
"step": 1280
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"epoch": 13.23,
|
| 1041 |
+
"learning_rate": 3.0927835051546395e-05,
|
| 1042 |
+
"loss": 0.1017,
|
| 1043 |
+
"step": 1290
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 13.33,
|
| 1047 |
+
"learning_rate": 3.0736922489499806e-05,
|
| 1048 |
+
"loss": 0.1413,
|
| 1049 |
+
"step": 1300
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 13.44,
|
| 1053 |
+
"learning_rate": 3.054600992745323e-05,
|
| 1054 |
+
"loss": 0.1114,
|
| 1055 |
+
"step": 1310
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 13.54,
|
| 1059 |
+
"learning_rate": 3.0355097365406644e-05,
|
| 1060 |
+
"loss": 0.1155,
|
| 1061 |
+
"step": 1320
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 13.64,
|
| 1065 |
+
"learning_rate": 3.0164184803360062e-05,
|
| 1066 |
+
"loss": 0.1414,
|
| 1067 |
+
"step": 1330
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 13.74,
|
| 1071 |
+
"learning_rate": 2.9973272241313483e-05,
|
| 1072 |
+
"loss": 0.1061,
|
| 1073 |
+
"step": 1340
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 13.85,
|
| 1077 |
+
"learning_rate": 2.9782359679266897e-05,
|
| 1078 |
+
"loss": 0.1474,
|
| 1079 |
+
"step": 1350
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 13.95,
|
| 1083 |
+
"learning_rate": 2.9591447117220318e-05,
|
| 1084 |
+
"loss": 0.1195,
|
| 1085 |
+
"step": 1360
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 14.0,
|
| 1089 |
+
"eval_accuracy": {
|
| 1090 |
+
"accuracy": 0.9746794871794872
|
| 1091 |
+
},
|
| 1092 |
+
"eval_f1": {
|
| 1093 |
+
"f1": 0.9751503673932421
|
| 1094 |
+
},
|
| 1095 |
+
"eval_loss": 0.07223396748304367,
|
| 1096 |
+
"eval_precision": {
|
| 1097 |
+
"precision": 0.9748002335329808
|
| 1098 |
+
},
|
| 1099 |
+
"eval_recall": {
|
| 1100 |
+
"recall": 0.9758973037646403
|
| 1101 |
+
},
|
| 1102 |
+
"eval_runtime": 18.5238,
|
| 1103 |
+
"eval_samples_per_second": 168.432,
|
| 1104 |
+
"eval_steps_per_second": 5.29,
|
| 1105 |
+
"step": 1365
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 14.05,
|
| 1109 |
+
"learning_rate": 2.9400534555173732e-05,
|
| 1110 |
+
"loss": 0.1095,
|
| 1111 |
+
"step": 1370
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 14.15,
|
| 1115 |
+
"learning_rate": 2.920962199312715e-05,
|
| 1116 |
+
"loss": 0.1021,
|
| 1117 |
+
"step": 1380
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 14.26,
|
| 1121 |
+
"learning_rate": 2.9018709431080564e-05,
|
| 1122 |
+
"loss": 0.1239,
|
| 1123 |
+
"step": 1390
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 14.36,
|
| 1127 |
+
"learning_rate": 2.8827796869033985e-05,
|
| 1128 |
+
"loss": 0.1192,
|
| 1129 |
+
"step": 1400
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 14.46,
|
| 1133 |
+
"learning_rate": 2.86368843069874e-05,
|
| 1134 |
+
"loss": 0.103,
|
| 1135 |
+
"step": 1410
|
| 1136 |
+
},
|
| 1137 |
+
{
|
| 1138 |
+
"epoch": 14.56,
|
| 1139 |
+
"learning_rate": 2.844597174494082e-05,
|
| 1140 |
+
"loss": 0.1191,
|
| 1141 |
+
"step": 1420
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 14.67,
|
| 1145 |
+
"learning_rate": 2.8255059182894235e-05,
|
| 1146 |
+
"loss": 0.114,
|
| 1147 |
+
"step": 1430
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 14.77,
|
| 1151 |
+
"learning_rate": 2.8064146620847653e-05,
|
| 1152 |
+
"loss": 0.1096,
|
| 1153 |
+
"step": 1440
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 14.87,
|
| 1157 |
+
"learning_rate": 2.7873234058801074e-05,
|
| 1158 |
+
"loss": 0.1124,
|
| 1159 |
+
"step": 1450
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 14.97,
|
| 1163 |
+
"learning_rate": 2.7682321496754488e-05,
|
| 1164 |
+
"loss": 0.113,
|
| 1165 |
+
"step": 1460
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 14.99,
|
| 1169 |
+
"eval_accuracy": {
|
| 1170 |
+
"accuracy": 0.9775641025641025
|
| 1171 |
+
},
|
| 1172 |
+
"eval_f1": {
|
| 1173 |
+
"f1": 0.9779218456371974
|
| 1174 |
+
},
|
| 1175 |
+
"eval_loss": 0.0729188397526741,
|
| 1176 |
+
"eval_precision": {
|
| 1177 |
+
"precision": 0.979047027933676
|
| 1178 |
+
},
|
| 1179 |
+
"eval_recall": {
|
| 1180 |
+
"recall": 0.9770918627040228
|
| 1181 |
+
},
|
| 1182 |
+
"eval_runtime": 18.5885,
|
| 1183 |
+
"eval_samples_per_second": 167.846,
|
| 1184 |
+
"eval_steps_per_second": 5.272,
|
| 1185 |
+
"step": 1462
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 15.08,
|
| 1189 |
+
"learning_rate": 2.749140893470791e-05,
|
| 1190 |
+
"loss": 0.1092,
|
| 1191 |
+
"step": 1470
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 15.18,
|
| 1195 |
+
"learning_rate": 2.7300496372661323e-05,
|
| 1196 |
+
"loss": 0.1213,
|
| 1197 |
+
"step": 1480
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 15.28,
|
| 1201 |
+
"learning_rate": 2.710958381061474e-05,
|
| 1202 |
+
"loss": 0.0856,
|
| 1203 |
+
"step": 1490
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 15.38,
|
| 1207 |
+
"learning_rate": 2.6918671248568155e-05,
|
| 1208 |
+
"loss": 0.1165,
|
| 1209 |
+
"step": 1500
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 15.49,
|
| 1213 |
+
"learning_rate": 2.6727758686521576e-05,
|
| 1214 |
+
"loss": 0.1017,
|
| 1215 |
+
"step": 1510
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 15.59,
|
| 1219 |
+
"learning_rate": 2.653684612447499e-05,
|
| 1220 |
+
"loss": 0.1003,
|
| 1221 |
+
"step": 1520
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 15.69,
|
| 1225 |
+
"learning_rate": 2.634593356242841e-05,
|
| 1226 |
+
"loss": 0.1121,
|
| 1227 |
+
"step": 1530
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 15.79,
|
| 1231 |
+
"learning_rate": 2.6155021000381826e-05,
|
| 1232 |
+
"loss": 0.1338,
|
| 1233 |
+
"step": 1540
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 15.9,
|
| 1237 |
+
"learning_rate": 2.5964108438335243e-05,
|
| 1238 |
+
"loss": 0.113,
|
| 1239 |
+
"step": 1550
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 16.0,
|
| 1243 |
+
"learning_rate": 2.5773195876288658e-05,
|
| 1244 |
+
"loss": 0.1111,
|
| 1245 |
+
"step": 1560
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 16.0,
|
| 1249 |
+
"eval_accuracy": {
|
| 1250 |
+
"accuracy": 0.9772435897435897
|
| 1251 |
+
},
|
| 1252 |
+
"eval_f1": {
|
| 1253 |
+
"f1": 0.9778308709990938
|
| 1254 |
+
},
|
| 1255 |
+
"eval_loss": 0.06960152089595795,
|
| 1256 |
+
"eval_precision": {
|
| 1257 |
+
"precision": 0.9779158764095219
|
| 1258 |
+
},
|
| 1259 |
+
"eval_recall": {
|
| 1260 |
+
"recall": 0.9778124028636349
|
| 1261 |
+
},
|
| 1262 |
+
"eval_runtime": 18.5763,
|
| 1263 |
+
"eval_samples_per_second": 167.956,
|
| 1264 |
+
"eval_steps_per_second": 5.276,
|
| 1265 |
+
"step": 1560
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 16.1,
|
| 1269 |
+
"learning_rate": 2.558228331424208e-05,
|
| 1270 |
+
"loss": 0.1015,
|
| 1271 |
+
"step": 1570
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 16.21,
|
| 1275 |
+
"learning_rate": 2.5391370752195496e-05,
|
| 1276 |
+
"loss": 0.1049,
|
| 1277 |
+
"step": 1580
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 16.31,
|
| 1281 |
+
"learning_rate": 2.520045819014891e-05,
|
| 1282 |
+
"loss": 0.094,
|
| 1283 |
+
"step": 1590
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 16.41,
|
| 1287 |
+
"learning_rate": 2.500954562810233e-05,
|
| 1288 |
+
"loss": 0.1041,
|
| 1289 |
+
"step": 1600
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 16.51,
|
| 1293 |
+
"learning_rate": 2.4818633066055746e-05,
|
| 1294 |
+
"loss": 0.0772,
|
| 1295 |
+
"step": 1610
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 16.62,
|
| 1299 |
+
"learning_rate": 2.4627720504009167e-05,
|
| 1300 |
+
"loss": 0.1079,
|
| 1301 |
+
"step": 1620
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 16.72,
|
| 1305 |
+
"learning_rate": 2.4436807941962585e-05,
|
| 1306 |
+
"loss": 0.0942,
|
| 1307 |
+
"step": 1630
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 16.82,
|
| 1311 |
+
"learning_rate": 2.4245895379916e-05,
|
| 1312 |
+
"loss": 0.1068,
|
| 1313 |
+
"step": 1640
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 16.92,
|
| 1317 |
+
"learning_rate": 2.4054982817869417e-05,
|
| 1318 |
+
"loss": 0.1016,
|
| 1319 |
+
"step": 1650
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 16.99,
|
| 1323 |
+
"eval_accuracy": {
|
| 1324 |
+
"accuracy": 0.9737179487179487
|
| 1325 |
+
},
|
| 1326 |
+
"eval_f1": {
|
| 1327 |
+
"f1": 0.9745961111652444
|
| 1328 |
+
},
|
| 1329 |
+
"eval_loss": 0.08040237426757812,
|
| 1330 |
+
"eval_precision": {
|
| 1331 |
+
"precision": 0.9733897161308854
|
| 1332 |
+
},
|
| 1333 |
+
"eval_recall": {
|
| 1334 |
+
"recall": 0.9760199723830122
|
| 1335 |
+
},
|
| 1336 |
+
"eval_runtime": 18.4943,
|
| 1337 |
+
"eval_samples_per_second": 168.701,
|
| 1338 |
+
"eval_steps_per_second": 5.299,
|
| 1339 |
+
"step": 1657
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 17.03,
|
| 1343 |
+
"learning_rate": 2.3864070255822834e-05,
|
| 1344 |
+
"loss": 0.0902,
|
| 1345 |
+
"step": 1660
|
| 1346 |
+
},
|
| 1347 |
+
{
|
| 1348 |
+
"epoch": 17.13,
|
| 1349 |
+
"learning_rate": 2.3673157693776252e-05,
|
| 1350 |
+
"loss": 0.084,
|
| 1351 |
+
"step": 1670
|
| 1352 |
+
},
|
| 1353 |
+
{
|
| 1354 |
+
"epoch": 17.23,
|
| 1355 |
+
"learning_rate": 2.348224513172967e-05,
|
| 1356 |
+
"loss": 0.117,
|
| 1357 |
+
"step": 1680
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 17.33,
|
| 1361 |
+
"learning_rate": 2.3291332569683087e-05,
|
| 1362 |
+
"loss": 0.0899,
|
| 1363 |
+
"step": 1690
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"epoch": 17.44,
|
| 1367 |
+
"learning_rate": 2.31004200076365e-05,
|
| 1368 |
+
"loss": 0.1025,
|
| 1369 |
+
"step": 1700
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 17.54,
|
| 1373 |
+
"learning_rate": 2.290950744558992e-05,
|
| 1374 |
+
"loss": 0.0987,
|
| 1375 |
+
"step": 1710
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 17.64,
|
| 1379 |
+
"learning_rate": 2.2718594883543337e-05,
|
| 1380 |
+
"loss": 0.1038,
|
| 1381 |
+
"step": 1720
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 17.74,
|
| 1385 |
+
"learning_rate": 2.2527682321496758e-05,
|
| 1386 |
+
"loss": 0.1018,
|
| 1387 |
+
"step": 1730
|
| 1388 |
+
},
|
| 1389 |
+
{
|
| 1390 |
+
"epoch": 17.85,
|
| 1391 |
+
"learning_rate": 2.2336769759450175e-05,
|
| 1392 |
+
"loss": 0.1092,
|
| 1393 |
+
"step": 1740
|
| 1394 |
+
},
|
| 1395 |
+
{
|
| 1396 |
+
"epoch": 17.95,
|
| 1397 |
+
"learning_rate": 2.214585719740359e-05,
|
| 1398 |
+
"loss": 0.1212,
|
| 1399 |
+
"step": 1750
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 18.0,
|
| 1403 |
+
"eval_accuracy": {
|
| 1404 |
+
"accuracy": 0.978525641025641
|
| 1405 |
+
},
|
| 1406 |
+
"eval_f1": {
|
| 1407 |
+
"f1": 0.9792426784918802
|
| 1408 |
+
},
|
| 1409 |
+
"eval_loss": 0.07058186829090118,
|
| 1410 |
+
"eval_precision": {
|
| 1411 |
+
"precision": 0.9780537479064654
|
| 1412 |
+
},
|
| 1413 |
+
"eval_recall": {
|
| 1414 |
+
"recall": 0.980517981186892
|
| 1415 |
+
},
|
| 1416 |
+
"eval_runtime": 18.5461,
|
| 1417 |
+
"eval_samples_per_second": 168.229,
|
| 1418 |
+
"eval_steps_per_second": 5.284,
|
| 1419 |
+
"step": 1755
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 18.05,
|
| 1423 |
+
"learning_rate": 2.1954944635357007e-05,
|
| 1424 |
+
"loss": 0.1046,
|
| 1425 |
+
"step": 1760
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 18.15,
|
| 1429 |
+
"learning_rate": 2.1764032073310425e-05,
|
| 1430 |
+
"loss": 0.0763,
|
| 1431 |
+
"step": 1770
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 18.26,
|
| 1435 |
+
"learning_rate": 2.1573119511263843e-05,
|
| 1436 |
+
"loss": 0.1083,
|
| 1437 |
+
"step": 1780
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 18.36,
|
| 1441 |
+
"learning_rate": 2.138220694921726e-05,
|
| 1442 |
+
"loss": 0.0966,
|
| 1443 |
+
"step": 1790
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 18.46,
|
| 1447 |
+
"learning_rate": 2.1191294387170678e-05,
|
| 1448 |
+
"loss": 0.0917,
|
| 1449 |
+
"step": 1800
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 18.56,
|
| 1453 |
+
"learning_rate": 2.1000381825124092e-05,
|
| 1454 |
+
"loss": 0.0893,
|
| 1455 |
+
"step": 1810
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 18.67,
|
| 1459 |
+
"learning_rate": 2.080946926307751e-05,
|
| 1460 |
+
"loss": 0.1147,
|
| 1461 |
+
"step": 1820
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 18.77,
|
| 1465 |
+
"learning_rate": 2.0618556701030927e-05,
|
| 1466 |
+
"loss": 0.1105,
|
| 1467 |
+
"step": 1830
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 18.87,
|
| 1471 |
+
"learning_rate": 2.0427644138984345e-05,
|
| 1472 |
+
"loss": 0.1257,
|
| 1473 |
+
"step": 1840
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 18.97,
|
| 1477 |
+
"learning_rate": 2.0236731576937766e-05,
|
| 1478 |
+
"loss": 0.0773,
|
| 1479 |
+
"step": 1850
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 18.99,
|
| 1483 |
+
"eval_accuracy": {
|
| 1484 |
+
"accuracy": 0.9782051282051282
|
| 1485 |
+
},
|
| 1486 |
+
"eval_f1": {
|
| 1487 |
+
"f1": 0.9790037742544285
|
| 1488 |
+
},
|
| 1489 |
+
"eval_loss": 0.06617825478315353,
|
| 1490 |
+
"eval_precision": {
|
| 1491 |
+
"precision": 0.9789744968624101
|
| 1492 |
+
},
|
| 1493 |
+
"eval_recall": {
|
| 1494 |
+
"recall": 0.9791140613622205
|
| 1495 |
+
},
|
| 1496 |
+
"eval_runtime": 18.5258,
|
| 1497 |
+
"eval_samples_per_second": 168.414,
|
| 1498 |
+
"eval_steps_per_second": 5.29,
|
| 1499 |
+
"step": 1852
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 19.08,
|
| 1503 |
+
"learning_rate": 2.004581901489118e-05,
|
| 1504 |
+
"loss": 0.0801,
|
| 1505 |
+
"step": 1860
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 19.18,
|
| 1509 |
+
"learning_rate": 1.9854906452844598e-05,
|
| 1510 |
+
"loss": 0.1068,
|
| 1511 |
+
"step": 1870
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 19.28,
|
| 1515 |
+
"learning_rate": 1.9663993890798016e-05,
|
| 1516 |
+
"loss": 0.0728,
|
| 1517 |
+
"step": 1880
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 19.38,
|
| 1521 |
+
"learning_rate": 1.9473081328751433e-05,
|
| 1522 |
+
"loss": 0.0868,
|
| 1523 |
+
"step": 1890
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 19.49,
|
| 1527 |
+
"learning_rate": 1.928216876670485e-05,
|
| 1528 |
+
"loss": 0.0996,
|
| 1529 |
+
"step": 1900
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 19.59,
|
| 1533 |
+
"learning_rate": 1.909125620465827e-05,
|
| 1534 |
+
"loss": 0.0821,
|
| 1535 |
+
"step": 1910
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 19.69,
|
| 1539 |
+
"learning_rate": 1.8900343642611683e-05,
|
| 1540 |
+
"loss": 0.0732,
|
| 1541 |
+
"step": 1920
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 19.79,
|
| 1545 |
+
"learning_rate": 1.87094310805651e-05,
|
| 1546 |
+
"loss": 0.0977,
|
| 1547 |
+
"step": 1930
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 19.9,
|
| 1551 |
+
"learning_rate": 1.8518518518518518e-05,
|
| 1552 |
+
"loss": 0.0773,
|
| 1553 |
+
"step": 1940
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 20.0,
|
| 1557 |
+
"learning_rate": 1.8327605956471936e-05,
|
| 1558 |
+
"loss": 0.0807,
|
| 1559 |
+
"step": 1950
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 20.0,
|
| 1563 |
+
"eval_accuracy": {
|
| 1564 |
+
"accuracy": 0.9782051282051282
|
| 1565 |
+
},
|
| 1566 |
+
"eval_f1": {
|
| 1567 |
+
"f1": 0.978849268707168
|
| 1568 |
+
},
|
| 1569 |
+
"eval_loss": 0.06757049262523651,
|
| 1570 |
+
"eval_precision": {
|
| 1571 |
+
"precision": 0.9789056277749657
|
| 1572 |
+
},
|
| 1573 |
+
"eval_recall": {
|
| 1574 |
+
"recall": 0.9788691085482305
|
| 1575 |
+
},
|
| 1576 |
+
"eval_runtime": 18.3657,
|
| 1577 |
+
"eval_samples_per_second": 169.882,
|
| 1578 |
+
"eval_steps_per_second": 5.336,
|
| 1579 |
+
"step": 1950
|
| 1580 |
+
},
|
| 1581 |
+
{
|
| 1582 |
+
"epoch": 20.1,
|
| 1583 |
+
"learning_rate": 1.8136693394425357e-05,
|
| 1584 |
+
"loss": 0.0913,
|
| 1585 |
+
"step": 1960
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 20.21,
|
| 1589 |
+
"learning_rate": 1.794578083237877e-05,
|
| 1590 |
+
"loss": 0.0977,
|
| 1591 |
+
"step": 1970
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 20.31,
|
| 1595 |
+
"learning_rate": 1.775486827033219e-05,
|
| 1596 |
+
"loss": 0.0854,
|
| 1597 |
+
"step": 1980
|
| 1598 |
+
},
|
| 1599 |
+
{
|
| 1600 |
+
"epoch": 20.41,
|
| 1601 |
+
"learning_rate": 1.7563955708285607e-05,
|
| 1602 |
+
"loss": 0.0764,
|
| 1603 |
+
"step": 1990
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 20.51,
|
| 1607 |
+
"learning_rate": 1.7373043146239024e-05,
|
| 1608 |
+
"loss": 0.0925,
|
| 1609 |
+
"step": 2000
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 20.62,
|
| 1613 |
+
"learning_rate": 1.7182130584192442e-05,
|
| 1614 |
+
"loss": 0.0888,
|
| 1615 |
+
"step": 2010
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 20.72,
|
| 1619 |
+
"learning_rate": 1.6991218022145856e-05,
|
| 1620 |
+
"loss": 0.0684,
|
| 1621 |
+
"step": 2020
|
| 1622 |
+
},
|
| 1623 |
+
{
|
| 1624 |
+
"epoch": 20.82,
|
| 1625 |
+
"learning_rate": 1.6800305460099274e-05,
|
| 1626 |
+
"loss": 0.0826,
|
| 1627 |
+
"step": 2030
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 20.92,
|
| 1631 |
+
"learning_rate": 1.660939289805269e-05,
|
| 1632 |
+
"loss": 0.1051,
|
| 1633 |
+
"step": 2040
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 20.99,
|
| 1637 |
+
"eval_accuracy": {
|
| 1638 |
+
"accuracy": 0.9801282051282051
|
| 1639 |
+
},
|
| 1640 |
+
"eval_f1": {
|
| 1641 |
+
"f1": 0.9809129407528451
|
| 1642 |
+
},
|
| 1643 |
+
"eval_loss": 0.058978818356990814,
|
| 1644 |
+
"eval_precision": {
|
| 1645 |
+
"precision": 0.98154804184011
|
| 1646 |
+
},
|
| 1647 |
+
"eval_recall": {
|
| 1648 |
+
"recall": 0.9802969452515257
|
| 1649 |
+
},
|
| 1650 |
+
"eval_runtime": 18.6326,
|
| 1651 |
+
"eval_samples_per_second": 167.449,
|
| 1652 |
+
"eval_steps_per_second": 5.26,
|
| 1653 |
+
"step": 2047
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 21.03,
|
| 1657 |
+
"learning_rate": 1.641848033600611e-05,
|
| 1658 |
+
"loss": 0.0828,
|
| 1659 |
+
"step": 2050
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 21.13,
|
| 1663 |
+
"learning_rate": 1.6227567773959527e-05,
|
| 1664 |
+
"loss": 0.0801,
|
| 1665 |
+
"step": 2060
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 21.23,
|
| 1669 |
+
"learning_rate": 1.6036655211912944e-05,
|
| 1670 |
+
"loss": 0.0999,
|
| 1671 |
+
"step": 2070
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 21.33,
|
| 1675 |
+
"learning_rate": 1.5845742649866362e-05,
|
| 1676 |
+
"loss": 0.0773,
|
| 1677 |
+
"step": 2080
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"epoch": 21.44,
|
| 1681 |
+
"learning_rate": 1.565483008781978e-05,
|
| 1682 |
+
"loss": 0.0726,
|
| 1683 |
+
"step": 2090
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 21.54,
|
| 1687 |
+
"learning_rate": 1.5463917525773197e-05,
|
| 1688 |
+
"loss": 0.0941,
|
| 1689 |
+
"step": 2100
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 21.64,
|
| 1693 |
+
"learning_rate": 1.5273004963726615e-05,
|
| 1694 |
+
"loss": 0.0859,
|
| 1695 |
+
"step": 2110
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 21.74,
|
| 1699 |
+
"learning_rate": 1.5082092401680031e-05,
|
| 1700 |
+
"loss": 0.0713,
|
| 1701 |
+
"step": 2120
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 21.85,
|
| 1705 |
+
"learning_rate": 1.4891179839633449e-05,
|
| 1706 |
+
"loss": 0.0847,
|
| 1707 |
+
"step": 2130
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 21.95,
|
| 1711 |
+
"learning_rate": 1.4700267277586866e-05,
|
| 1712 |
+
"loss": 0.0941,
|
| 1713 |
+
"step": 2140
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 22.0,
|
| 1717 |
+
"eval_accuracy": {
|
| 1718 |
+
"accuracy": 0.982051282051282
|
| 1719 |
+
},
|
| 1720 |
+
"eval_f1": {
|
| 1721 |
+
"f1": 0.9825777588621161
|
| 1722 |
+
},
|
| 1723 |
+
"eval_loss": 0.06584476679563522,
|
| 1724 |
+
"eval_precision": {
|
| 1725 |
+
"precision": 0.9828165773418366
|
| 1726 |
+
},
|
| 1727 |
+
"eval_recall": {
|
| 1728 |
+
"recall": 0.9824456736033335
|
| 1729 |
+
},
|
| 1730 |
+
"eval_runtime": 18.6363,
|
| 1731 |
+
"eval_samples_per_second": 167.415,
|
| 1732 |
+
"eval_steps_per_second": 5.259,
|
| 1733 |
+
"step": 2145
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 22.05,
|
| 1737 |
+
"learning_rate": 1.4509354715540282e-05,
|
| 1738 |
+
"loss": 0.0874,
|
| 1739 |
+
"step": 2150
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 22.15,
|
| 1743 |
+
"learning_rate": 1.43184421534937e-05,
|
| 1744 |
+
"loss": 0.0807,
|
| 1745 |
+
"step": 2160
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 22.26,
|
| 1749 |
+
"learning_rate": 1.4127529591447117e-05,
|
| 1750 |
+
"loss": 0.0662,
|
| 1751 |
+
"step": 2170
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 22.36,
|
| 1755 |
+
"learning_rate": 1.3936617029400537e-05,
|
| 1756 |
+
"loss": 0.0826,
|
| 1757 |
+
"step": 2180
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 22.46,
|
| 1761 |
+
"learning_rate": 1.3745704467353954e-05,
|
| 1762 |
+
"loss": 0.0903,
|
| 1763 |
+
"step": 2190
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 22.56,
|
| 1767 |
+
"learning_rate": 1.355479190530737e-05,
|
| 1768 |
+
"loss": 0.0781,
|
| 1769 |
+
"step": 2200
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 22.67,
|
| 1773 |
+
"learning_rate": 1.3363879343260788e-05,
|
| 1774 |
+
"loss": 0.0813,
|
| 1775 |
+
"step": 2210
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 22.77,
|
| 1779 |
+
"learning_rate": 1.3172966781214206e-05,
|
| 1780 |
+
"loss": 0.078,
|
| 1781 |
+
"step": 2220
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 22.87,
|
| 1785 |
+
"learning_rate": 1.2982054219167622e-05,
|
| 1786 |
+
"loss": 0.0969,
|
| 1787 |
+
"step": 2230
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 22.97,
|
| 1791 |
+
"learning_rate": 1.279114165712104e-05,
|
| 1792 |
+
"loss": 0.0849,
|
| 1793 |
+
"step": 2240
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 22.99,
|
| 1797 |
+
"eval_accuracy": {
|
| 1798 |
+
"accuracy": 0.9807692307692307
|
| 1799 |
+
},
|
| 1800 |
+
"eval_f1": {
|
| 1801 |
+
"f1": 0.9814188968048345
|
| 1802 |
+
},
|
| 1803 |
+
"eval_loss": 0.06442565470933914,
|
| 1804 |
+
"eval_precision": {
|
| 1805 |
+
"precision": 0.981735779695144
|
| 1806 |
+
},
|
| 1807 |
+
"eval_recall": {
|
| 1808 |
+
"recall": 0.9811890642850706
|
| 1809 |
+
},
|
| 1810 |
+
"eval_runtime": 18.5305,
|
| 1811 |
+
"eval_samples_per_second": 168.371,
|
| 1812 |
+
"eval_steps_per_second": 5.289,
|
| 1813 |
+
"step": 2242
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"epoch": 23.08,
|
| 1817 |
+
"learning_rate": 1.2600229095074455e-05,
|
| 1818 |
+
"loss": 0.0853,
|
| 1819 |
+
"step": 2250
|
| 1820 |
+
},
|
| 1821 |
+
{
|
| 1822 |
+
"epoch": 23.18,
|
| 1823 |
+
"learning_rate": 1.2409316533027873e-05,
|
| 1824 |
+
"loss": 0.0493,
|
| 1825 |
+
"step": 2260
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 23.28,
|
| 1829 |
+
"learning_rate": 1.2218403970981292e-05,
|
| 1830 |
+
"loss": 0.0917,
|
| 1831 |
+
"step": 2270
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 23.38,
|
| 1835 |
+
"learning_rate": 1.2027491408934708e-05,
|
| 1836 |
+
"loss": 0.0708,
|
| 1837 |
+
"step": 2280
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 23.49,
|
| 1841 |
+
"learning_rate": 1.1836578846888126e-05,
|
| 1842 |
+
"loss": 0.0671,
|
| 1843 |
+
"step": 2290
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 23.59,
|
| 1847 |
+
"learning_rate": 1.1645666284841544e-05,
|
| 1848 |
+
"loss": 0.0724,
|
| 1849 |
+
"step": 2300
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 23.69,
|
| 1853 |
+
"learning_rate": 1.145475372279496e-05,
|
| 1854 |
+
"loss": 0.0674,
|
| 1855 |
+
"step": 2310
|
| 1856 |
+
},
|
| 1857 |
+
{
|
| 1858 |
+
"epoch": 23.79,
|
| 1859 |
+
"learning_rate": 1.1263841160748379e-05,
|
| 1860 |
+
"loss": 0.0712,
|
| 1861 |
+
"step": 2320
|
| 1862 |
+
},
|
| 1863 |
+
{
|
| 1864 |
+
"epoch": 23.9,
|
| 1865 |
+
"learning_rate": 1.1072928598701795e-05,
|
| 1866 |
+
"loss": 0.0812,
|
| 1867 |
+
"step": 2330
|
| 1868 |
+
},
|
| 1869 |
+
{
|
| 1870 |
+
"epoch": 24.0,
|
| 1871 |
+
"learning_rate": 1.0882016036655212e-05,
|
| 1872 |
+
"loss": 0.0754,
|
| 1873 |
+
"step": 2340
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 24.0,
|
| 1877 |
+
"eval_accuracy": {
|
| 1878 |
+
"accuracy": 0.9814102564102564
|
| 1879 |
+
},
|
| 1880 |
+
"eval_f1": {
|
| 1881 |
+
"f1": 0.9818759081081004
|
| 1882 |
+
},
|
| 1883 |
+
"eval_loss": 0.06598126143217087,
|
| 1884 |
+
"eval_precision": {
|
| 1885 |
+
"precision": 0.9823138375067749
|
| 1886 |
+
},
|
| 1887 |
+
"eval_recall": {
|
| 1888 |
+
"recall": 0.9815646778958121
|
| 1889 |
+
},
|
| 1890 |
+
"eval_runtime": 18.3926,
|
| 1891 |
+
"eval_samples_per_second": 169.633,
|
| 1892 |
+
"eval_steps_per_second": 5.328,
|
| 1893 |
+
"step": 2340
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 24.1,
|
| 1897 |
+
"learning_rate": 1.069110347460863e-05,
|
| 1898 |
+
"loss": 0.0577,
|
| 1899 |
+
"step": 2350
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 24.21,
|
| 1903 |
+
"learning_rate": 1.0500190912562046e-05,
|
| 1904 |
+
"loss": 0.0724,
|
| 1905 |
+
"step": 2360
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 24.31,
|
| 1909 |
+
"learning_rate": 1.0309278350515464e-05,
|
| 1910 |
+
"loss": 0.0816,
|
| 1911 |
+
"step": 2370
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 24.41,
|
| 1915 |
+
"learning_rate": 1.0118365788468883e-05,
|
| 1916 |
+
"loss": 0.0759,
|
| 1917 |
+
"step": 2380
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"epoch": 24.51,
|
| 1921 |
+
"learning_rate": 9.927453226422299e-06,
|
| 1922 |
+
"loss": 0.0851,
|
| 1923 |
+
"step": 2390
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 24.62,
|
| 1927 |
+
"learning_rate": 9.736540664375717e-06,
|
| 1928 |
+
"loss": 0.068,
|
| 1929 |
+
"step": 2400
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 24.72,
|
| 1933 |
+
"learning_rate": 9.545628102329134e-06,
|
| 1934 |
+
"loss": 0.0685,
|
| 1935 |
+
"step": 2410
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 24.82,
|
| 1939 |
+
"learning_rate": 9.35471554028255e-06,
|
| 1940 |
+
"loss": 0.084,
|
| 1941 |
+
"step": 2420
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 24.92,
|
| 1945 |
+
"learning_rate": 9.163802978235968e-06,
|
| 1946 |
+
"loss": 0.0693,
|
| 1947 |
+
"step": 2430
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 24.99,
|
| 1951 |
+
"eval_accuracy": {
|
| 1952 |
+
"accuracy": 0.9810897435897435
|
| 1953 |
+
},
|
| 1954 |
+
"eval_f1": {
|
| 1955 |
+
"f1": 0.9818163582669245
|
| 1956 |
+
},
|
| 1957 |
+
"eval_loss": 0.05909496173262596,
|
| 1958 |
+
"eval_precision": {
|
| 1959 |
+
"precision": 0.9821763874529763
|
| 1960 |
+
},
|
| 1961 |
+
"eval_recall": {
|
| 1962 |
+
"recall": 0.9815015240688245
|
| 1963 |
+
},
|
| 1964 |
+
"eval_runtime": 18.5026,
|
| 1965 |
+
"eval_samples_per_second": 168.625,
|
| 1966 |
+
"eval_steps_per_second": 5.297,
|
| 1967 |
+
"step": 2437
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 25.03,
|
| 1971 |
+
"learning_rate": 8.972890416189386e-06,
|
| 1972 |
+
"loss": 0.0717,
|
| 1973 |
+
"step": 2440
|
| 1974 |
+
},
|
| 1975 |
+
{
|
| 1976 |
+
"epoch": 25.13,
|
| 1977 |
+
"learning_rate": 8.781977854142803e-06,
|
| 1978 |
+
"loss": 0.0631,
|
| 1979 |
+
"step": 2450
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"epoch": 25.23,
|
| 1983 |
+
"learning_rate": 8.591065292096221e-06,
|
| 1984 |
+
"loss": 0.0514,
|
| 1985 |
+
"step": 2460
|
| 1986 |
+
},
|
| 1987 |
+
{
|
| 1988 |
+
"epoch": 25.33,
|
| 1989 |
+
"learning_rate": 8.400152730049637e-06,
|
| 1990 |
+
"loss": 0.0706,
|
| 1991 |
+
"step": 2470
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 25.44,
|
| 1995 |
+
"learning_rate": 8.209240168003055e-06,
|
| 1996 |
+
"loss": 0.0626,
|
| 1997 |
+
"step": 2480
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 25.54,
|
| 2001 |
+
"learning_rate": 8.018327605956472e-06,
|
| 2002 |
+
"loss": 0.0548,
|
| 2003 |
+
"step": 2490
|
| 2004 |
+
},
|
| 2005 |
+
{
|
| 2006 |
+
"epoch": 25.64,
|
| 2007 |
+
"learning_rate": 7.82741504390989e-06,
|
| 2008 |
+
"loss": 0.0657,
|
| 2009 |
+
"step": 2500
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 25.74,
|
| 2013 |
+
"learning_rate": 7.636502481863307e-06,
|
| 2014 |
+
"loss": 0.0993,
|
| 2015 |
+
"step": 2510
|
| 2016 |
+
},
|
| 2017 |
+
{
|
| 2018 |
+
"epoch": 25.85,
|
| 2019 |
+
"learning_rate": 7.445589919816724e-06,
|
| 2020 |
+
"loss": 0.0688,
|
| 2021 |
+
"step": 2520
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 25.95,
|
| 2025 |
+
"learning_rate": 7.254677357770141e-06,
|
| 2026 |
+
"loss": 0.0468,
|
| 2027 |
+
"step": 2530
|
| 2028 |
+
},
|
| 2029 |
+
{
|
| 2030 |
+
"epoch": 26.0,
|
| 2031 |
+
"eval_accuracy": {
|
| 2032 |
+
"accuracy": 0.9810897435897435
|
| 2033 |
+
},
|
| 2034 |
+
"eval_f1": {
|
| 2035 |
+
"f1": 0.9817492175527575
|
| 2036 |
+
},
|
| 2037 |
+
"eval_loss": 0.06363129615783691,
|
| 2038 |
+
"eval_precision": {
|
| 2039 |
+
"precision": 0.9815769384870415
|
| 2040 |
+
},
|
| 2041 |
+
"eval_recall": {
|
| 2042 |
+
"recall": 0.9820001468845976
|
| 2043 |
+
},
|
| 2044 |
+
"eval_runtime": 18.4562,
|
| 2045 |
+
"eval_samples_per_second": 169.049,
|
| 2046 |
+
"eval_steps_per_second": 5.31,
|
| 2047 |
+
"step": 2535
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 26.05,
|
| 2051 |
+
"learning_rate": 7.063764795723559e-06,
|
| 2052 |
+
"loss": 0.071,
|
| 2053 |
+
"step": 2540
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 26.15,
|
| 2057 |
+
"learning_rate": 6.872852233676977e-06,
|
| 2058 |
+
"loss": 0.0776,
|
| 2059 |
+
"step": 2550
|
| 2060 |
+
},
|
| 2061 |
+
{
|
| 2062 |
+
"epoch": 26.26,
|
| 2063 |
+
"learning_rate": 6.681939671630394e-06,
|
| 2064 |
+
"loss": 0.061,
|
| 2065 |
+
"step": 2560
|
| 2066 |
+
},
|
| 2067 |
+
{
|
| 2068 |
+
"epoch": 26.36,
|
| 2069 |
+
"learning_rate": 6.491027109583811e-06,
|
| 2070 |
+
"loss": 0.0563,
|
| 2071 |
+
"step": 2570
|
| 2072 |
+
},
|
| 2073 |
+
{
|
| 2074 |
+
"epoch": 26.46,
|
| 2075 |
+
"learning_rate": 6.300114547537228e-06,
|
| 2076 |
+
"loss": 0.0673,
|
| 2077 |
+
"step": 2580
|
| 2078 |
+
},
|
| 2079 |
+
{
|
| 2080 |
+
"epoch": 26.56,
|
| 2081 |
+
"learning_rate": 6.109201985490646e-06,
|
| 2082 |
+
"loss": 0.0569,
|
| 2083 |
+
"step": 2590
|
| 2084 |
+
},
|
| 2085 |
+
{
|
| 2086 |
+
"epoch": 26.67,
|
| 2087 |
+
"learning_rate": 5.918289423444063e-06,
|
| 2088 |
+
"loss": 0.069,
|
| 2089 |
+
"step": 2600
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 26.77,
|
| 2093 |
+
"learning_rate": 5.72737686139748e-06,
|
| 2094 |
+
"loss": 0.0703,
|
| 2095 |
+
"step": 2610
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 26.87,
|
| 2099 |
+
"learning_rate": 5.536464299350897e-06,
|
| 2100 |
+
"loss": 0.0753,
|
| 2101 |
+
"step": 2620
|
| 2102 |
+
},
|
| 2103 |
+
{
|
| 2104 |
+
"epoch": 26.97,
|
| 2105 |
+
"learning_rate": 5.345551737304315e-06,
|
| 2106 |
+
"loss": 0.0626,
|
| 2107 |
+
"step": 2630
|
| 2108 |
+
},
|
| 2109 |
+
{
|
| 2110 |
+
"epoch": 26.99,
|
| 2111 |
+
"eval_accuracy": {
|
| 2112 |
+
"accuracy": 0.9823717948717948
|
| 2113 |
+
},
|
| 2114 |
+
"eval_f1": {
|
| 2115 |
+
"f1": 0.9828710628760066
|
| 2116 |
+
},
|
| 2117 |
+
"eval_loss": 0.06039305403828621,
|
| 2118 |
+
"eval_precision": {
|
| 2119 |
+
"precision": 0.9833379982045161
|
| 2120 |
+
},
|
| 2121 |
+
"eval_recall": {
|
| 2122 |
+
"recall": 0.982495297966067
|
| 2123 |
+
},
|
| 2124 |
+
"eval_runtime": 18.2954,
|
| 2125 |
+
"eval_samples_per_second": 170.535,
|
| 2126 |
+
"eval_steps_per_second": 5.357,
|
| 2127 |
+
"step": 2632
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 27.08,
|
| 2131 |
+
"learning_rate": 5.154639175257732e-06,
|
| 2132 |
+
"loss": 0.0665,
|
| 2133 |
+
"step": 2640
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"epoch": 27.18,
|
| 2137 |
+
"learning_rate": 4.9637266132111495e-06,
|
| 2138 |
+
"loss": 0.0657,
|
| 2139 |
+
"step": 2650
|
| 2140 |
+
},
|
| 2141 |
+
{
|
| 2142 |
+
"epoch": 27.28,
|
| 2143 |
+
"learning_rate": 4.772814051164567e-06,
|
| 2144 |
+
"loss": 0.0555,
|
| 2145 |
+
"step": 2660
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 27.38,
|
| 2149 |
+
"learning_rate": 4.581901489117984e-06,
|
| 2150 |
+
"loss": 0.0379,
|
| 2151 |
+
"step": 2670
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 27.49,
|
| 2155 |
+
"learning_rate": 4.390988927071402e-06,
|
| 2156 |
+
"loss": 0.0643,
|
| 2157 |
+
"step": 2680
|
| 2158 |
+
},
|
| 2159 |
+
{
|
| 2160 |
+
"epoch": 27.59,
|
| 2161 |
+
"learning_rate": 4.2000763650248184e-06,
|
| 2162 |
+
"loss": 0.0777,
|
| 2163 |
+
"step": 2690
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 27.69,
|
| 2167 |
+
"learning_rate": 4.009163802978236e-06,
|
| 2168 |
+
"loss": 0.0632,
|
| 2169 |
+
"step": 2700
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 27.79,
|
| 2173 |
+
"learning_rate": 3.818251240931654e-06,
|
| 2174 |
+
"loss": 0.0439,
|
| 2175 |
+
"step": 2710
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"epoch": 27.9,
|
| 2179 |
+
"learning_rate": 3.6273386788850705e-06,
|
| 2180 |
+
"loss": 0.0736,
|
| 2181 |
+
"step": 2720
|
| 2182 |
+
},
|
| 2183 |
+
{
|
| 2184 |
+
"epoch": 28.0,
|
| 2185 |
+
"learning_rate": 3.4364261168384886e-06,
|
| 2186 |
+
"loss": 0.0565,
|
| 2187 |
+
"step": 2730
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 28.0,
|
| 2191 |
+
"eval_accuracy": {
|
| 2192 |
+
"accuracy": 0.9817307692307692
|
| 2193 |
+
},
|
| 2194 |
+
"eval_f1": {
|
| 2195 |
+
"f1": 0.9824528709031027
|
| 2196 |
+
},
|
| 2197 |
+
"eval_loss": 0.0612463541328907,
|
| 2198 |
+
"eval_precision": {
|
| 2199 |
+
"precision": 0.9824245712456766
|
| 2200 |
+
},
|
| 2201 |
+
"eval_recall": {
|
| 2202 |
+
"recall": 0.9825037931142255
|
| 2203 |
+
},
|
| 2204 |
+
"eval_runtime": 18.4139,
|
| 2205 |
+
"eval_samples_per_second": 169.437,
|
| 2206 |
+
"eval_steps_per_second": 5.322,
|
| 2207 |
+
"step": 2730
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 28.1,
|
| 2211 |
+
"learning_rate": 3.2455135547919054e-06,
|
| 2212 |
+
"loss": 0.0765,
|
| 2213 |
+
"step": 2740
|
| 2214 |
+
},
|
| 2215 |
+
{
|
| 2216 |
+
"epoch": 28.21,
|
| 2217 |
+
"learning_rate": 3.054600992745323e-06,
|
| 2218 |
+
"loss": 0.057,
|
| 2219 |
+
"step": 2750
|
| 2220 |
+
},
|
| 2221 |
+
{
|
| 2222 |
+
"epoch": 28.31,
|
| 2223 |
+
"learning_rate": 2.86368843069874e-06,
|
| 2224 |
+
"loss": 0.0602,
|
| 2225 |
+
"step": 2760
|
| 2226 |
+
},
|
| 2227 |
+
{
|
| 2228 |
+
"epoch": 28.41,
|
| 2229 |
+
"learning_rate": 2.6727758686521575e-06,
|
| 2230 |
+
"loss": 0.0624,
|
| 2231 |
+
"step": 2770
|
| 2232 |
+
},
|
| 2233 |
+
{
|
| 2234 |
+
"epoch": 28.51,
|
| 2235 |
+
"learning_rate": 2.4818633066055748e-06,
|
| 2236 |
+
"loss": 0.0588,
|
| 2237 |
+
"step": 2780
|
| 2238 |
+
},
|
| 2239 |
+
{
|
| 2240 |
+
"epoch": 28.62,
|
| 2241 |
+
"learning_rate": 2.290950744558992e-06,
|
| 2242 |
+
"loss": 0.0553,
|
| 2243 |
+
"step": 2790
|
| 2244 |
+
},
|
| 2245 |
+
{
|
| 2246 |
+
"epoch": 28.72,
|
| 2247 |
+
"learning_rate": 2.1000381825124092e-06,
|
| 2248 |
+
"loss": 0.0551,
|
| 2249 |
+
"step": 2800
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 28.82,
|
| 2253 |
+
"learning_rate": 1.909125620465827e-06,
|
| 2254 |
+
"loss": 0.0579,
|
| 2255 |
+
"step": 2810
|
| 2256 |
+
},
|
| 2257 |
+
{
|
| 2258 |
+
"epoch": 28.92,
|
| 2259 |
+
"learning_rate": 1.7182130584192443e-06,
|
| 2260 |
+
"loss": 0.0428,
|
| 2261 |
+
"step": 2820
|
| 2262 |
+
},
|
| 2263 |
+
{
|
| 2264 |
+
"epoch": 28.99,
|
| 2265 |
+
"eval_accuracy": {
|
| 2266 |
+
"accuracy": 0.9814102564102564
|
| 2267 |
+
},
|
| 2268 |
+
"eval_f1": {
|
| 2269 |
+
"f1": 0.9820040000167444
|
| 2270 |
+
},
|
| 2271 |
+
"eval_loss": 0.060263678431510925,
|
| 2272 |
+
"eval_precision": {
|
| 2273 |
+
"precision": 0.9821559799758683
|
| 2274 |
+
},
|
| 2275 |
+
"eval_recall": {
|
| 2276 |
+
"recall": 0.9818903265571605
|
| 2277 |
+
},
|
| 2278 |
+
"eval_runtime": 18.3859,
|
| 2279 |
+
"eval_samples_per_second": 169.696,
|
| 2280 |
+
"eval_steps_per_second": 5.33,
|
| 2281 |
+
"step": 2827
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"epoch": 29.03,
|
| 2285 |
+
"learning_rate": 1.5273004963726615e-06,
|
| 2286 |
+
"loss": 0.0647,
|
| 2287 |
+
"step": 2830
|
| 2288 |
+
},
|
| 2289 |
+
{
|
| 2290 |
+
"epoch": 29.13,
|
| 2291 |
+
"learning_rate": 1.3363879343260788e-06,
|
| 2292 |
+
"loss": 0.0592,
|
| 2293 |
+
"step": 2840
|
| 2294 |
+
},
|
| 2295 |
+
{
|
| 2296 |
+
"epoch": 29.23,
|
| 2297 |
+
"learning_rate": 1.145475372279496e-06,
|
| 2298 |
+
"loss": 0.0607,
|
| 2299 |
+
"step": 2850
|
| 2300 |
+
},
|
| 2301 |
+
{
|
| 2302 |
+
"epoch": 29.33,
|
| 2303 |
+
"learning_rate": 9.545628102329134e-07,
|
| 2304 |
+
"loss": 0.0531,
|
| 2305 |
+
"step": 2860
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 29.44,
|
| 2309 |
+
"learning_rate": 7.636502481863308e-07,
|
| 2310 |
+
"loss": 0.0679,
|
| 2311 |
+
"step": 2870
|
| 2312 |
+
},
|
| 2313 |
+
{
|
| 2314 |
+
"epoch": 29.54,
|
| 2315 |
+
"learning_rate": 5.72737686139748e-07,
|
| 2316 |
+
"loss": 0.0672,
|
| 2317 |
+
"step": 2880
|
| 2318 |
+
},
|
| 2319 |
+
{
|
| 2320 |
+
"epoch": 29.64,
|
| 2321 |
+
"learning_rate": 3.818251240931654e-07,
|
| 2322 |
+
"loss": 0.039,
|
| 2323 |
+
"step": 2890
|
| 2324 |
+
},
|
| 2325 |
+
{
|
| 2326 |
+
"epoch": 29.74,
|
| 2327 |
+
"learning_rate": 1.909125620465827e-07,
|
| 2328 |
+
"loss": 0.0397,
|
| 2329 |
+
"step": 2900
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"epoch": 29.85,
|
| 2333 |
+
"learning_rate": 0.0,
|
| 2334 |
+
"loss": 0.0628,
|
| 2335 |
+
"step": 2910
|
| 2336 |
+
},
|
| 2337 |
+
{
|
| 2338 |
+
"epoch": 29.85,
|
| 2339 |
+
"eval_accuracy": {
|
| 2340 |
+
"accuracy": 0.9814102564102564
|
| 2341 |
+
},
|
| 2342 |
+
"eval_f1": {
|
| 2343 |
+
"f1": 0.9820040000167444
|
| 2344 |
+
},
|
| 2345 |
+
"eval_loss": 0.05972651019692421,
|
| 2346 |
+
"eval_precision": {
|
| 2347 |
+
"precision": 0.9821559799758683
|
| 2348 |
+
},
|
| 2349 |
+
"eval_recall": {
|
| 2350 |
+
"recall": 0.9818903265571605
|
| 2351 |
+
},
|
| 2352 |
+
"eval_runtime": 18.3177,
|
| 2353 |
+
"eval_samples_per_second": 170.327,
|
| 2354 |
+
"eval_steps_per_second": 5.35,
|
| 2355 |
+
"step": 2910
|
| 2356 |
+
}
|
| 2357 |
+
],
|
| 2358 |
+
"logging_steps": 10,
|
| 2359 |
+
"max_steps": 2910,
|
| 2360 |
+
"num_input_tokens_seen": 0,
|
| 2361 |
+
"num_train_epochs": 30,
|
| 2362 |
+
"save_steps": 500,
|
| 2363 |
+
"total_flos": 9.258876179133235e+18,
|
| 2364 |
+
"train_batch_size": 32,
|
| 2365 |
+
"trial_name": null,
|
| 2366 |
+
"trial_params": null
|
| 2367 |
+
}
|