End of training
Browse files- trainer_state.json +1518 -0
trainer_state.json
ADDED
|
@@ -0,0 +1,1518 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8174300254452926,
|
| 3 |
+
"best_model_checkpoint": "training_sentiment_analysis/checkpoint-8600",
|
| 4 |
+
"epoch": 20.0,
|
| 5 |
+
"eval_steps": 200,
|
| 6 |
+
"global_step": 18680,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.21,
|
| 13 |
+
"grad_norm": 1.3381836414337158,
|
| 14 |
+
"learning_rate": 3.2119914346895075e-05,
|
| 15 |
+
"loss": 0.9299,
|
| 16 |
+
"step": 200
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.21,
|
| 20 |
+
"eval_accuracy": 0.638676844783715,
|
| 21 |
+
"eval_loss": 0.827367901802063,
|
| 22 |
+
"eval_runtime": 3.055,
|
| 23 |
+
"eval_samples_per_second": 514.569,
|
| 24 |
+
"eval_steps_per_second": 16.367,
|
| 25 |
+
"step": 200
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 0.43,
|
| 29 |
+
"grad_norm": 1.0220164060592651,
|
| 30 |
+
"learning_rate": 6.423982869379015e-05,
|
| 31 |
+
"loss": 0.7793,
|
| 32 |
+
"step": 400
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.43,
|
| 36 |
+
"eval_accuracy": 0.7188295165394402,
|
| 37 |
+
"eval_loss": 0.6643335223197937,
|
| 38 |
+
"eval_runtime": 3.0013,
|
| 39 |
+
"eval_samples_per_second": 523.77,
|
| 40 |
+
"eval_steps_per_second": 16.659,
|
| 41 |
+
"step": 400
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 0.64,
|
| 45 |
+
"grad_norm": 1.7421491146087646,
|
| 46 |
+
"learning_rate": 9.635974304068522e-05,
|
| 47 |
+
"loss": 0.6574,
|
| 48 |
+
"step": 600
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 0.64,
|
| 52 |
+
"eval_accuracy": 0.7659033078880407,
|
| 53 |
+
"eval_loss": 0.5868020057678223,
|
| 54 |
+
"eval_runtime": 2.9749,
|
| 55 |
+
"eval_samples_per_second": 528.422,
|
| 56 |
+
"eval_steps_per_second": 16.807,
|
| 57 |
+
"step": 600
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.86,
|
| 61 |
+
"grad_norm": 1.8133894205093384,
|
| 62 |
+
"learning_rate": 0.0001284796573875803,
|
| 63 |
+
"loss": 0.6132,
|
| 64 |
+
"step": 800
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 0.86,
|
| 68 |
+
"eval_accuracy": 0.772264631043257,
|
| 69 |
+
"eval_loss": 0.5582301616668701,
|
| 70 |
+
"eval_runtime": 2.9908,
|
| 71 |
+
"eval_samples_per_second": 525.617,
|
| 72 |
+
"eval_steps_per_second": 16.718,
|
| 73 |
+
"step": 800
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 1.07,
|
| 77 |
+
"grad_norm": 1.3071078062057495,
|
| 78 |
+
"learning_rate": 0.00016059957173447537,
|
| 79 |
+
"loss": 0.5791,
|
| 80 |
+
"step": 1000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 1.07,
|
| 84 |
+
"eval_accuracy": 0.7830788804071247,
|
| 85 |
+
"eval_loss": 0.5515692234039307,
|
| 86 |
+
"eval_runtime": 2.9665,
|
| 87 |
+
"eval_samples_per_second": 529.915,
|
| 88 |
+
"eval_steps_per_second": 16.855,
|
| 89 |
+
"step": 1000
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 1.28,
|
| 93 |
+
"grad_norm": 1.0445743799209595,
|
| 94 |
+
"learning_rate": 0.00019271948608137044,
|
| 95 |
+
"loss": 0.554,
|
| 96 |
+
"step": 1200
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 1.28,
|
| 100 |
+
"eval_accuracy": 0.7964376590330788,
|
| 101 |
+
"eval_loss": 0.5187413692474365,
|
| 102 |
+
"eval_runtime": 2.9846,
|
| 103 |
+
"eval_samples_per_second": 526.705,
|
| 104 |
+
"eval_steps_per_second": 16.753,
|
| 105 |
+
"step": 1200
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 1.5,
|
| 109 |
+
"grad_norm": 1.0763362646102905,
|
| 110 |
+
"learning_rate": 0.0002248394004282655,
|
| 111 |
+
"loss": 0.5258,
|
| 112 |
+
"step": 1400
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 1.5,
|
| 116 |
+
"eval_accuracy": 0.8034351145038168,
|
| 117 |
+
"eval_loss": 0.5125576257705688,
|
| 118 |
+
"eval_runtime": 2.9831,
|
| 119 |
+
"eval_samples_per_second": 526.967,
|
| 120 |
+
"eval_steps_per_second": 16.761,
|
| 121 |
+
"step": 1400
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 1.71,
|
| 125 |
+
"grad_norm": 0.8554897308349609,
|
| 126 |
+
"learning_rate": 0.0002569593147751606,
|
| 127 |
+
"loss": 0.5373,
|
| 128 |
+
"step": 1600
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.71,
|
| 132 |
+
"eval_accuracy": 0.8002544529262087,
|
| 133 |
+
"eval_loss": 0.51680988073349,
|
| 134 |
+
"eval_runtime": 2.9726,
|
| 135 |
+
"eval_samples_per_second": 528.823,
|
| 136 |
+
"eval_steps_per_second": 16.82,
|
| 137 |
+
"step": 1600
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.93,
|
| 141 |
+
"grad_norm": 1.538806438446045,
|
| 142 |
+
"learning_rate": 0.0002890792291220556,
|
| 143 |
+
"loss": 0.5266,
|
| 144 |
+
"step": 1800
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 1.93,
|
| 148 |
+
"eval_accuracy": 0.8027989821882952,
|
| 149 |
+
"eval_loss": 0.5283887982368469,
|
| 150 |
+
"eval_runtime": 2.9766,
|
| 151 |
+
"eval_samples_per_second": 528.12,
|
| 152 |
+
"eval_steps_per_second": 16.798,
|
| 153 |
+
"step": 1800
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.14,
|
| 157 |
+
"grad_norm": 1.1234441995620728,
|
| 158 |
+
"learning_rate": 0.000297644539614561,
|
| 159 |
+
"loss": 0.5076,
|
| 160 |
+
"step": 2000
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.14,
|
| 164 |
+
"eval_accuracy": 0.7977099236641222,
|
| 165 |
+
"eval_loss": 0.5178301334381104,
|
| 166 |
+
"eval_runtime": 2.9829,
|
| 167 |
+
"eval_samples_per_second": 526.996,
|
| 168 |
+
"eval_steps_per_second": 16.762,
|
| 169 |
+
"step": 2000
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 2.36,
|
| 173 |
+
"grad_norm": 1.6212774515151978,
|
| 174 |
+
"learning_rate": 0.0002940756602426838,
|
| 175 |
+
"loss": 0.5094,
|
| 176 |
+
"step": 2200
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 2.36,
|
| 180 |
+
"eval_accuracy": 0.8027989821882952,
|
| 181 |
+
"eval_loss": 0.5134572982788086,
|
| 182 |
+
"eval_runtime": 2.981,
|
| 183 |
+
"eval_samples_per_second": 527.334,
|
| 184 |
+
"eval_steps_per_second": 16.773,
|
| 185 |
+
"step": 2200
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 2.57,
|
| 189 |
+
"grad_norm": 1.4514294862747192,
|
| 190 |
+
"learning_rate": 0.00029050678087080655,
|
| 191 |
+
"loss": 0.5032,
|
| 192 |
+
"step": 2400
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 2.57,
|
| 196 |
+
"eval_accuracy": 0.8104325699745547,
|
| 197 |
+
"eval_loss": 0.5022692084312439,
|
| 198 |
+
"eval_runtime": 2.963,
|
| 199 |
+
"eval_samples_per_second": 530.535,
|
| 200 |
+
"eval_steps_per_second": 16.875,
|
| 201 |
+
"step": 2400
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 2.78,
|
| 205 |
+
"grad_norm": 1.826932668685913,
|
| 206 |
+
"learning_rate": 0.0002869379014989293,
|
| 207 |
+
"loss": 0.5034,
|
| 208 |
+
"step": 2600
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 2.78,
|
| 212 |
+
"eval_accuracy": 0.80470737913486,
|
| 213 |
+
"eval_loss": 0.5088226199150085,
|
| 214 |
+
"eval_runtime": 2.9831,
|
| 215 |
+
"eval_samples_per_second": 526.969,
|
| 216 |
+
"eval_steps_per_second": 16.761,
|
| 217 |
+
"step": 2600
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 3.0,
|
| 221 |
+
"grad_norm": 1.4404336214065552,
|
| 222 |
+
"learning_rate": 0.0002833690221270521,
|
| 223 |
+
"loss": 0.4923,
|
| 224 |
+
"step": 2800
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 3.0,
|
| 228 |
+
"eval_accuracy": 0.799618320610687,
|
| 229 |
+
"eval_loss": 0.5219257473945618,
|
| 230 |
+
"eval_runtime": 2.9722,
|
| 231 |
+
"eval_samples_per_second": 528.9,
|
| 232 |
+
"eval_steps_per_second": 16.823,
|
| 233 |
+
"step": 2800
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 3.21,
|
| 237 |
+
"grad_norm": 0.8795878291130066,
|
| 238 |
+
"learning_rate": 0.00027980014275517484,
|
| 239 |
+
"loss": 0.4934,
|
| 240 |
+
"step": 3000
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 3.21,
|
| 244 |
+
"eval_accuracy": 0.8129770992366412,
|
| 245 |
+
"eval_loss": 0.4905295968055725,
|
| 246 |
+
"eval_runtime": 2.9734,
|
| 247 |
+
"eval_samples_per_second": 528.696,
|
| 248 |
+
"eval_steps_per_second": 16.816,
|
| 249 |
+
"step": 3000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 3.43,
|
| 253 |
+
"grad_norm": 1.6092537641525269,
|
| 254 |
+
"learning_rate": 0.0002762312633832976,
|
| 255 |
+
"loss": 0.4798,
|
| 256 |
+
"step": 3200
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 3.43,
|
| 260 |
+
"eval_accuracy": 0.8097964376590331,
|
| 261 |
+
"eval_loss": 0.4907812178134918,
|
| 262 |
+
"eval_runtime": 2.9897,
|
| 263 |
+
"eval_samples_per_second": 525.803,
|
| 264 |
+
"eval_steps_per_second": 16.724,
|
| 265 |
+
"step": 3200
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 3.64,
|
| 269 |
+
"grad_norm": 1.6475110054016113,
|
| 270 |
+
"learning_rate": 0.0002726623840114204,
|
| 271 |
+
"loss": 0.4831,
|
| 272 |
+
"step": 3400
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 3.64,
|
| 276 |
+
"eval_accuracy": 0.8072519083969466,
|
| 277 |
+
"eval_loss": 0.48748457431793213,
|
| 278 |
+
"eval_runtime": 2.9694,
|
| 279 |
+
"eval_samples_per_second": 529.396,
|
| 280 |
+
"eval_steps_per_second": 16.838,
|
| 281 |
+
"step": 3400
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 3.85,
|
| 285 |
+
"grad_norm": 1.1669467687606812,
|
| 286 |
+
"learning_rate": 0.00026909350463954313,
|
| 287 |
+
"loss": 0.4707,
|
| 288 |
+
"step": 3600
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 3.85,
|
| 292 |
+
"eval_accuracy": 0.8072519083969466,
|
| 293 |
+
"eval_loss": 0.4985896944999695,
|
| 294 |
+
"eval_runtime": 2.991,
|
| 295 |
+
"eval_samples_per_second": 525.579,
|
| 296 |
+
"eval_steps_per_second": 16.717,
|
| 297 |
+
"step": 3600
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 4.07,
|
| 301 |
+
"grad_norm": 0.9440352320671082,
|
| 302 |
+
"learning_rate": 0.00026552462526766593,
|
| 303 |
+
"loss": 0.4674,
|
| 304 |
+
"step": 3800
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 4.07,
|
| 308 |
+
"eval_accuracy": 0.8104325699745547,
|
| 309 |
+
"eval_loss": 0.5195557475090027,
|
| 310 |
+
"eval_runtime": 2.9789,
|
| 311 |
+
"eval_samples_per_second": 527.711,
|
| 312 |
+
"eval_steps_per_second": 16.785,
|
| 313 |
+
"step": 3800
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 4.28,
|
| 317 |
+
"grad_norm": 1.8151628971099854,
|
| 318 |
+
"learning_rate": 0.0002619557458957887,
|
| 319 |
+
"loss": 0.4535,
|
| 320 |
+
"step": 4000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 4.28,
|
| 324 |
+
"eval_accuracy": 0.8097964376590331,
|
| 325 |
+
"eval_loss": 0.4896373152732849,
|
| 326 |
+
"eval_runtime": 2.9869,
|
| 327 |
+
"eval_samples_per_second": 526.295,
|
| 328 |
+
"eval_steps_per_second": 16.74,
|
| 329 |
+
"step": 4000
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 4.5,
|
| 333 |
+
"grad_norm": 3.0790090560913086,
|
| 334 |
+
"learning_rate": 0.0002583868665239115,
|
| 335 |
+
"loss": 0.464,
|
| 336 |
+
"step": 4200
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 4.5,
|
| 340 |
+
"eval_accuracy": 0.8078880407124682,
|
| 341 |
+
"eval_loss": 0.517495334148407,
|
| 342 |
+
"eval_runtime": 2.9986,
|
| 343 |
+
"eval_samples_per_second": 524.246,
|
| 344 |
+
"eval_steps_per_second": 16.674,
|
| 345 |
+
"step": 4200
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 4.71,
|
| 349 |
+
"grad_norm": 1.1520639657974243,
|
| 350 |
+
"learning_rate": 0.0002548179871520343,
|
| 351 |
+
"loss": 0.4715,
|
| 352 |
+
"step": 4400
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 4.71,
|
| 356 |
+
"eval_accuracy": 0.8027989821882952,
|
| 357 |
+
"eval_loss": 0.5001667737960815,
|
| 358 |
+
"eval_runtime": 2.9723,
|
| 359 |
+
"eval_samples_per_second": 528.885,
|
| 360 |
+
"eval_steps_per_second": 16.822,
|
| 361 |
+
"step": 4400
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 4.93,
|
| 365 |
+
"grad_norm": 0.8184943795204163,
|
| 366 |
+
"learning_rate": 0.000251249107780157,
|
| 367 |
+
"loss": 0.468,
|
| 368 |
+
"step": 4600
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 4.93,
|
| 372 |
+
"eval_accuracy": 0.8110687022900763,
|
| 373 |
+
"eval_loss": 0.4883332848548889,
|
| 374 |
+
"eval_runtime": 2.9769,
|
| 375 |
+
"eval_samples_per_second": 528.068,
|
| 376 |
+
"eval_steps_per_second": 16.796,
|
| 377 |
+
"step": 4600
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 5.14,
|
| 381 |
+
"grad_norm": 1.155013084411621,
|
| 382 |
+
"learning_rate": 0.00024768022840827977,
|
| 383 |
+
"loss": 0.4645,
|
| 384 |
+
"step": 4800
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 5.14,
|
| 388 |
+
"eval_accuracy": 0.8040712468193384,
|
| 389 |
+
"eval_loss": 0.5186554789543152,
|
| 390 |
+
"eval_runtime": 2.9698,
|
| 391 |
+
"eval_samples_per_second": 529.333,
|
| 392 |
+
"eval_steps_per_second": 16.836,
|
| 393 |
+
"step": 4800
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 5.35,
|
| 397 |
+
"grad_norm": 1.6959339380264282,
|
| 398 |
+
"learning_rate": 0.00024411134903640257,
|
| 399 |
+
"loss": 0.445,
|
| 400 |
+
"step": 5000
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 5.35,
|
| 404 |
+
"eval_accuracy": 0.806615776081425,
|
| 405 |
+
"eval_loss": 0.4928103983402252,
|
| 406 |
+
"eval_runtime": 2.9782,
|
| 407 |
+
"eval_samples_per_second": 527.83,
|
| 408 |
+
"eval_steps_per_second": 16.789,
|
| 409 |
+
"step": 5000
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 5.57,
|
| 413 |
+
"grad_norm": 1.0461735725402832,
|
| 414 |
+
"learning_rate": 0.00024054246966452532,
|
| 415 |
+
"loss": 0.4558,
|
| 416 |
+
"step": 5200
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 5.57,
|
| 420 |
+
"eval_accuracy": 0.8078880407124682,
|
| 421 |
+
"eval_loss": 0.48704999685287476,
|
| 422 |
+
"eval_runtime": 2.9838,
|
| 423 |
+
"eval_samples_per_second": 526.839,
|
| 424 |
+
"eval_steps_per_second": 16.757,
|
| 425 |
+
"step": 5200
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 5.78,
|
| 429 |
+
"grad_norm": 0.9599233269691467,
|
| 430 |
+
"learning_rate": 0.00023697359029264806,
|
| 431 |
+
"loss": 0.4405,
|
| 432 |
+
"step": 5400
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 5.78,
|
| 436 |
+
"eval_accuracy": 0.8104325699745547,
|
| 437 |
+
"eval_loss": 0.4985482692718506,
|
| 438 |
+
"eval_runtime": 3.0065,
|
| 439 |
+
"eval_samples_per_second": 522.862,
|
| 440 |
+
"eval_steps_per_second": 16.63,
|
| 441 |
+
"step": 5400
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 6.0,
|
| 445 |
+
"grad_norm": 1.4131615161895752,
|
| 446 |
+
"learning_rate": 0.00023340471092077086,
|
| 447 |
+
"loss": 0.4648,
|
| 448 |
+
"step": 5600
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 6.0,
|
| 452 |
+
"eval_accuracy": 0.8059796437659033,
|
| 453 |
+
"eval_loss": 0.48415422439575195,
|
| 454 |
+
"eval_runtime": 2.9786,
|
| 455 |
+
"eval_samples_per_second": 527.759,
|
| 456 |
+
"eval_steps_per_second": 16.786,
|
| 457 |
+
"step": 5600
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 6.21,
|
| 461 |
+
"grad_norm": 1.189572811126709,
|
| 462 |
+
"learning_rate": 0.0002298358315488936,
|
| 463 |
+
"loss": 0.435,
|
| 464 |
+
"step": 5800
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 6.21,
|
| 468 |
+
"eval_accuracy": 0.811704834605598,
|
| 469 |
+
"eval_loss": 0.4911487102508545,
|
| 470 |
+
"eval_runtime": 2.9997,
|
| 471 |
+
"eval_samples_per_second": 524.044,
|
| 472 |
+
"eval_steps_per_second": 16.668,
|
| 473 |
+
"step": 5800
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 6.42,
|
| 477 |
+
"grad_norm": 1.5198345184326172,
|
| 478 |
+
"learning_rate": 0.00022626695217701638,
|
| 479 |
+
"loss": 0.437,
|
| 480 |
+
"step": 6000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 6.42,
|
| 484 |
+
"eval_accuracy": 0.8085241730279898,
|
| 485 |
+
"eval_loss": 0.48542749881744385,
|
| 486 |
+
"eval_runtime": 3.0042,
|
| 487 |
+
"eval_samples_per_second": 523.274,
|
| 488 |
+
"eval_steps_per_second": 16.644,
|
| 489 |
+
"step": 6000
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 6.64,
|
| 493 |
+
"grad_norm": 1.1990240812301636,
|
| 494 |
+
"learning_rate": 0.00022269807280513918,
|
| 495 |
+
"loss": 0.4588,
|
| 496 |
+
"step": 6200
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 6.64,
|
| 500 |
+
"eval_accuracy": 0.8085241730279898,
|
| 501 |
+
"eval_loss": 0.48791924118995667,
|
| 502 |
+
"eval_runtime": 3.0014,
|
| 503 |
+
"eval_samples_per_second": 523.758,
|
| 504 |
+
"eval_steps_per_second": 16.659,
|
| 505 |
+
"step": 6200
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 6.85,
|
| 509 |
+
"grad_norm": 1.346658706665039,
|
| 510 |
+
"learning_rate": 0.00021912919343326193,
|
| 511 |
+
"loss": 0.4342,
|
| 512 |
+
"step": 6400
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 6.85,
|
| 516 |
+
"eval_accuracy": 0.8104325699745547,
|
| 517 |
+
"eval_loss": 0.49220582842826843,
|
| 518 |
+
"eval_runtime": 3.0046,
|
| 519 |
+
"eval_samples_per_second": 523.193,
|
| 520 |
+
"eval_steps_per_second": 16.641,
|
| 521 |
+
"step": 6400
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 7.07,
|
| 525 |
+
"grad_norm": 1.8644700050354004,
|
| 526 |
+
"learning_rate": 0.00021556031406138473,
|
| 527 |
+
"loss": 0.4347,
|
| 528 |
+
"step": 6600
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 7.07,
|
| 532 |
+
"eval_accuracy": 0.8142493638676844,
|
| 533 |
+
"eval_loss": 0.49111655354499817,
|
| 534 |
+
"eval_runtime": 2.985,
|
| 535 |
+
"eval_samples_per_second": 526.634,
|
| 536 |
+
"eval_steps_per_second": 16.75,
|
| 537 |
+
"step": 6600
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 7.28,
|
| 541 |
+
"grad_norm": 1.9364045858383179,
|
| 542 |
+
"learning_rate": 0.00021199143468950748,
|
| 543 |
+
"loss": 0.4326,
|
| 544 |
+
"step": 6800
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 7.28,
|
| 548 |
+
"eval_accuracy": 0.8078880407124682,
|
| 549 |
+
"eval_loss": 0.491384893655777,
|
| 550 |
+
"eval_runtime": 2.9723,
|
| 551 |
+
"eval_samples_per_second": 528.882,
|
| 552 |
+
"eval_steps_per_second": 16.822,
|
| 553 |
+
"step": 6800
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 7.49,
|
| 557 |
+
"grad_norm": 0.9911957383155823,
|
| 558 |
+
"learning_rate": 0.00020842255531763022,
|
| 559 |
+
"loss": 0.4267,
|
| 560 |
+
"step": 7000
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 7.49,
|
| 564 |
+
"eval_accuracy": 0.8104325699745547,
|
| 565 |
+
"eval_loss": 0.4917159080505371,
|
| 566 |
+
"eval_runtime": 2.9808,
|
| 567 |
+
"eval_samples_per_second": 527.373,
|
| 568 |
+
"eval_steps_per_second": 16.774,
|
| 569 |
+
"step": 7000
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 7.71,
|
| 573 |
+
"grad_norm": 1.2186638116836548,
|
| 574 |
+
"learning_rate": 0.00020485367594575302,
|
| 575 |
+
"loss": 0.4241,
|
| 576 |
+
"step": 7200
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 7.71,
|
| 580 |
+
"eval_accuracy": 0.8136132315521628,
|
| 581 |
+
"eval_loss": 0.4887010455131531,
|
| 582 |
+
"eval_runtime": 2.9872,
|
| 583 |
+
"eval_samples_per_second": 526.253,
|
| 584 |
+
"eval_steps_per_second": 16.738,
|
| 585 |
+
"step": 7200
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 7.92,
|
| 589 |
+
"grad_norm": 1.1467108726501465,
|
| 590 |
+
"learning_rate": 0.0002012847965738758,
|
| 591 |
+
"loss": 0.4376,
|
| 592 |
+
"step": 7400
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 7.92,
|
| 596 |
+
"eval_accuracy": 0.8078880407124682,
|
| 597 |
+
"eval_loss": 0.5122085213661194,
|
| 598 |
+
"eval_runtime": 2.9829,
|
| 599 |
+
"eval_samples_per_second": 527.007,
|
| 600 |
+
"eval_steps_per_second": 16.762,
|
| 601 |
+
"step": 7400
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 8.14,
|
| 605 |
+
"grad_norm": 0.8427834510803223,
|
| 606 |
+
"learning_rate": 0.00019771591720199854,
|
| 607 |
+
"loss": 0.4323,
|
| 608 |
+
"step": 7600
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 8.14,
|
| 612 |
+
"eval_accuracy": 0.8097964376590331,
|
| 613 |
+
"eval_loss": 0.49093857407569885,
|
| 614 |
+
"eval_runtime": 2.9738,
|
| 615 |
+
"eval_samples_per_second": 528.625,
|
| 616 |
+
"eval_steps_per_second": 16.814,
|
| 617 |
+
"step": 7600
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 8.35,
|
| 621 |
+
"grad_norm": 1.2060902118682861,
|
| 622 |
+
"learning_rate": 0.00019414703783012134,
|
| 623 |
+
"loss": 0.4264,
|
| 624 |
+
"step": 7800
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 8.35,
|
| 628 |
+
"eval_accuracy": 0.8142493638676844,
|
| 629 |
+
"eval_loss": 0.48821595311164856,
|
| 630 |
+
"eval_runtime": 2.9836,
|
| 631 |
+
"eval_samples_per_second": 526.88,
|
| 632 |
+
"eval_steps_per_second": 16.758,
|
| 633 |
+
"step": 7800
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 8.57,
|
| 637 |
+
"grad_norm": 1.7033394575119019,
|
| 638 |
+
"learning_rate": 0.0001905781584582441,
|
| 639 |
+
"loss": 0.4175,
|
| 640 |
+
"step": 8000
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 8.57,
|
| 644 |
+
"eval_accuracy": 0.8053435114503816,
|
| 645 |
+
"eval_loss": 0.5090692043304443,
|
| 646 |
+
"eval_runtime": 2.9978,
|
| 647 |
+
"eval_samples_per_second": 524.393,
|
| 648 |
+
"eval_steps_per_second": 16.679,
|
| 649 |
+
"step": 8000
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 8.78,
|
| 653 |
+
"grad_norm": 1.3033976554870605,
|
| 654 |
+
"learning_rate": 0.0001870092790863669,
|
| 655 |
+
"loss": 0.4228,
|
| 656 |
+
"step": 8200
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 8.78,
|
| 660 |
+
"eval_accuracy": 0.8097964376590331,
|
| 661 |
+
"eval_loss": 0.5060204863548279,
|
| 662 |
+
"eval_runtime": 2.9975,
|
| 663 |
+
"eval_samples_per_second": 524.436,
|
| 664 |
+
"eval_steps_per_second": 16.681,
|
| 665 |
+
"step": 8200
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 8.99,
|
| 669 |
+
"grad_norm": 1.2635438442230225,
|
| 670 |
+
"learning_rate": 0.00018344039971448964,
|
| 671 |
+
"loss": 0.4189,
|
| 672 |
+
"step": 8400
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 8.99,
|
| 676 |
+
"eval_accuracy": 0.8091603053435115,
|
| 677 |
+
"eval_loss": 0.4940575361251831,
|
| 678 |
+
"eval_runtime": 2.9634,
|
| 679 |
+
"eval_samples_per_second": 530.468,
|
| 680 |
+
"eval_steps_per_second": 16.872,
|
| 681 |
+
"step": 8400
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 9.21,
|
| 685 |
+
"grad_norm": 1.496982455253601,
|
| 686 |
+
"learning_rate": 0.0001798715203426124,
|
| 687 |
+
"loss": 0.4161,
|
| 688 |
+
"step": 8600
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 9.21,
|
| 692 |
+
"eval_accuracy": 0.8174300254452926,
|
| 693 |
+
"eval_loss": 0.5010442137718201,
|
| 694 |
+
"eval_runtime": 2.973,
|
| 695 |
+
"eval_samples_per_second": 528.758,
|
| 696 |
+
"eval_steps_per_second": 16.818,
|
| 697 |
+
"step": 8600
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 9.42,
|
| 701 |
+
"grad_norm": 1.355362892150879,
|
| 702 |
+
"learning_rate": 0.00017630264097073518,
|
| 703 |
+
"loss": 0.4078,
|
| 704 |
+
"step": 8800
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 9.42,
|
| 708 |
+
"eval_accuracy": 0.8078880407124682,
|
| 709 |
+
"eval_loss": 0.4949406683444977,
|
| 710 |
+
"eval_runtime": 2.9901,
|
| 711 |
+
"eval_samples_per_second": 525.736,
|
| 712 |
+
"eval_steps_per_second": 16.722,
|
| 713 |
+
"step": 8800
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 9.64,
|
| 717 |
+
"grad_norm": 1.180076241493225,
|
| 718 |
+
"learning_rate": 0.00017273376159885795,
|
| 719 |
+
"loss": 0.4201,
|
| 720 |
+
"step": 9000
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 9.64,
|
| 724 |
+
"eval_accuracy": 0.8072519083969466,
|
| 725 |
+
"eval_loss": 0.5017107129096985,
|
| 726 |
+
"eval_runtime": 2.952,
|
| 727 |
+
"eval_samples_per_second": 532.525,
|
| 728 |
+
"eval_steps_per_second": 16.938,
|
| 729 |
+
"step": 9000
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 9.85,
|
| 733 |
+
"grad_norm": 1.1020286083221436,
|
| 734 |
+
"learning_rate": 0.0001691648822269807,
|
| 735 |
+
"loss": 0.4141,
|
| 736 |
+
"step": 9200
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 9.85,
|
| 740 |
+
"eval_accuracy": 0.8091603053435115,
|
| 741 |
+
"eval_loss": 0.4984731078147888,
|
| 742 |
+
"eval_runtime": 2.9633,
|
| 743 |
+
"eval_samples_per_second": 530.497,
|
| 744 |
+
"eval_steps_per_second": 16.873,
|
| 745 |
+
"step": 9200
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 10.06,
|
| 749 |
+
"grad_norm": 1.2666047811508179,
|
| 750 |
+
"learning_rate": 0.0001655960028551035,
|
| 751 |
+
"loss": 0.4132,
|
| 752 |
+
"step": 9400
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 10.06,
|
| 756 |
+
"eval_accuracy": 0.8053435114503816,
|
| 757 |
+
"eval_loss": 0.5031649470329285,
|
| 758 |
+
"eval_runtime": 2.9822,
|
| 759 |
+
"eval_samples_per_second": 527.133,
|
| 760 |
+
"eval_steps_per_second": 16.766,
|
| 761 |
+
"step": 9400
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 10.28,
|
| 765 |
+
"grad_norm": 0.6767197251319885,
|
| 766 |
+
"learning_rate": 0.00016202712348322625,
|
| 767 |
+
"loss": 0.4043,
|
| 768 |
+
"step": 9600
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 10.28,
|
| 772 |
+
"eval_accuracy": 0.8129770992366412,
|
| 773 |
+
"eval_loss": 0.5038406848907471,
|
| 774 |
+
"eval_runtime": 2.9816,
|
| 775 |
+
"eval_samples_per_second": 527.24,
|
| 776 |
+
"eval_steps_per_second": 16.77,
|
| 777 |
+
"step": 9600
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 10.49,
|
| 781 |
+
"grad_norm": 1.147275447845459,
|
| 782 |
+
"learning_rate": 0.00015845824411134902,
|
| 783 |
+
"loss": 0.4187,
|
| 784 |
+
"step": 9800
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 10.49,
|
| 788 |
+
"eval_accuracy": 0.8104325699745547,
|
| 789 |
+
"eval_loss": 0.4981047213077545,
|
| 790 |
+
"eval_runtime": 2.9858,
|
| 791 |
+
"eval_samples_per_second": 526.485,
|
| 792 |
+
"eval_steps_per_second": 16.746,
|
| 793 |
+
"step": 9800
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 10.71,
|
| 797 |
+
"grad_norm": 1.6172677278518677,
|
| 798 |
+
"learning_rate": 0.0001548893647394718,
|
| 799 |
+
"loss": 0.3827,
|
| 800 |
+
"step": 10000
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 10.71,
|
| 804 |
+
"eval_accuracy": 0.8072519083969466,
|
| 805 |
+
"eval_loss": 0.5126467943191528,
|
| 806 |
+
"eval_runtime": 2.9825,
|
| 807 |
+
"eval_samples_per_second": 527.072,
|
| 808 |
+
"eval_steps_per_second": 16.764,
|
| 809 |
+
"step": 10000
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 10.92,
|
| 813 |
+
"grad_norm": 1.8639923334121704,
|
| 814 |
+
"learning_rate": 0.00015132048536759457,
|
| 815 |
+
"loss": 0.4074,
|
| 816 |
+
"step": 10200
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 10.92,
|
| 820 |
+
"eval_accuracy": 0.8072519083969466,
|
| 821 |
+
"eval_loss": 0.5088323950767517,
|
| 822 |
+
"eval_runtime": 2.9816,
|
| 823 |
+
"eval_samples_per_second": 527.237,
|
| 824 |
+
"eval_steps_per_second": 16.77,
|
| 825 |
+
"step": 10200
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 11.13,
|
| 829 |
+
"grad_norm": 1.2519667148590088,
|
| 830 |
+
"learning_rate": 0.00014775160599571734,
|
| 831 |
+
"loss": 0.4013,
|
| 832 |
+
"step": 10400
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 11.13,
|
| 836 |
+
"eval_accuracy": 0.8072519083969466,
|
| 837 |
+
"eval_loss": 0.5061373114585876,
|
| 838 |
+
"eval_runtime": 2.9811,
|
| 839 |
+
"eval_samples_per_second": 527.316,
|
| 840 |
+
"eval_steps_per_second": 16.772,
|
| 841 |
+
"step": 10400
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 11.35,
|
| 845 |
+
"grad_norm": 1.1711052656173706,
|
| 846 |
+
"learning_rate": 0.0001441827266238401,
|
| 847 |
+
"loss": 0.3888,
|
| 848 |
+
"step": 10600
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 11.35,
|
| 852 |
+
"eval_accuracy": 0.8085241730279898,
|
| 853 |
+
"eval_loss": 0.5013065338134766,
|
| 854 |
+
"eval_runtime": 2.9847,
|
| 855 |
+
"eval_samples_per_second": 526.681,
|
| 856 |
+
"eval_steps_per_second": 16.752,
|
| 857 |
+
"step": 10600
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 11.56,
|
| 861 |
+
"grad_norm": 1.8078001737594604,
|
| 862 |
+
"learning_rate": 0.00014061384725196286,
|
| 863 |
+
"loss": 0.3855,
|
| 864 |
+
"step": 10800
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 11.56,
|
| 868 |
+
"eval_accuracy": 0.8059796437659033,
|
| 869 |
+
"eval_loss": 0.4992610514163971,
|
| 870 |
+
"eval_runtime": 2.9927,
|
| 871 |
+
"eval_samples_per_second": 525.27,
|
| 872 |
+
"eval_steps_per_second": 16.707,
|
| 873 |
+
"step": 10800
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 11.78,
|
| 877 |
+
"grad_norm": 1.1071592569351196,
|
| 878 |
+
"learning_rate": 0.00013704496788008563,
|
| 879 |
+
"loss": 0.3924,
|
| 880 |
+
"step": 11000
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 11.78,
|
| 884 |
+
"eval_accuracy": 0.8085241730279898,
|
| 885 |
+
"eval_loss": 0.5075262188911438,
|
| 886 |
+
"eval_runtime": 3.0066,
|
| 887 |
+
"eval_samples_per_second": 522.844,
|
| 888 |
+
"eval_steps_per_second": 16.63,
|
| 889 |
+
"step": 11000
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 11.99,
|
| 893 |
+
"grad_norm": 1.3704427480697632,
|
| 894 |
+
"learning_rate": 0.0001334760885082084,
|
| 895 |
+
"loss": 0.4046,
|
| 896 |
+
"step": 11200
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 11.99,
|
| 900 |
+
"eval_accuracy": 0.8027989821882952,
|
| 901 |
+
"eval_loss": 0.49990707635879517,
|
| 902 |
+
"eval_runtime": 3.0049,
|
| 903 |
+
"eval_samples_per_second": 523.149,
|
| 904 |
+
"eval_steps_per_second": 16.64,
|
| 905 |
+
"step": 11200
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 12.21,
|
| 909 |
+
"grad_norm": 1.40170419216156,
|
| 910 |
+
"learning_rate": 0.00012990720913633118,
|
| 911 |
+
"loss": 0.3957,
|
| 912 |
+
"step": 11400
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 12.21,
|
| 916 |
+
"eval_accuracy": 0.8034351145038168,
|
| 917 |
+
"eval_loss": 0.5089264512062073,
|
| 918 |
+
"eval_runtime": 2.9942,
|
| 919 |
+
"eval_samples_per_second": 525.011,
|
| 920 |
+
"eval_steps_per_second": 16.699,
|
| 921 |
+
"step": 11400
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 12.42,
|
| 925 |
+
"grad_norm": 1.1885521411895752,
|
| 926 |
+
"learning_rate": 0.00012633832976445395,
|
| 927 |
+
"loss": 0.381,
|
| 928 |
+
"step": 11600
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 12.42,
|
| 932 |
+
"eval_accuracy": 0.8072519083969466,
|
| 933 |
+
"eval_loss": 0.5207549929618835,
|
| 934 |
+
"eval_runtime": 2.9746,
|
| 935 |
+
"eval_samples_per_second": 528.479,
|
| 936 |
+
"eval_steps_per_second": 16.809,
|
| 937 |
+
"step": 11600
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 12.63,
|
| 941 |
+
"grad_norm": 0.8873888254165649,
|
| 942 |
+
"learning_rate": 0.00012276945039257673,
|
| 943 |
+
"loss": 0.3906,
|
| 944 |
+
"step": 11800
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 12.63,
|
| 948 |
+
"eval_accuracy": 0.806615776081425,
|
| 949 |
+
"eval_loss": 0.513671875,
|
| 950 |
+
"eval_runtime": 2.961,
|
| 951 |
+
"eval_samples_per_second": 530.901,
|
| 952 |
+
"eval_steps_per_second": 16.886,
|
| 953 |
+
"step": 11800
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 12.85,
|
| 957 |
+
"grad_norm": 1.6491570472717285,
|
| 958 |
+
"learning_rate": 0.0001192005710206995,
|
| 959 |
+
"loss": 0.3734,
|
| 960 |
+
"step": 12000
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 12.85,
|
| 964 |
+
"eval_accuracy": 0.8040712468193384,
|
| 965 |
+
"eval_loss": 0.5183374881744385,
|
| 966 |
+
"eval_runtime": 2.9533,
|
| 967 |
+
"eval_samples_per_second": 532.292,
|
| 968 |
+
"eval_steps_per_second": 16.93,
|
| 969 |
+
"step": 12000
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 13.06,
|
| 973 |
+
"grad_norm": 2.042646884918213,
|
| 974 |
+
"learning_rate": 0.00011563169164882227,
|
| 975 |
+
"loss": 0.3928,
|
| 976 |
+
"step": 12200
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 13.06,
|
| 980 |
+
"eval_accuracy": 0.806615776081425,
|
| 981 |
+
"eval_loss": 0.5069447159767151,
|
| 982 |
+
"eval_runtime": 2.959,
|
| 983 |
+
"eval_samples_per_second": 531.259,
|
| 984 |
+
"eval_steps_per_second": 16.898,
|
| 985 |
+
"step": 12200
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 13.28,
|
| 989 |
+
"grad_norm": 0.817425549030304,
|
| 990 |
+
"learning_rate": 0.00011206281227694502,
|
| 991 |
+
"loss": 0.3774,
|
| 992 |
+
"step": 12400
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 13.28,
|
| 996 |
+
"eval_accuracy": 0.8008905852417303,
|
| 997 |
+
"eval_loss": 0.5086419582366943,
|
| 998 |
+
"eval_runtime": 2.9547,
|
| 999 |
+
"eval_samples_per_second": 532.04,
|
| 1000 |
+
"eval_steps_per_second": 16.922,
|
| 1001 |
+
"step": 12400
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 13.49,
|
| 1005 |
+
"grad_norm": 1.0988578796386719,
|
| 1006 |
+
"learning_rate": 0.0001084939329050678,
|
| 1007 |
+
"loss": 0.3892,
|
| 1008 |
+
"step": 12600
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 13.49,
|
| 1012 |
+
"eval_accuracy": 0.8059796437659033,
|
| 1013 |
+
"eval_loss": 0.4966925382614136,
|
| 1014 |
+
"eval_runtime": 2.9538,
|
| 1015 |
+
"eval_samples_per_second": 532.194,
|
| 1016 |
+
"eval_steps_per_second": 16.927,
|
| 1017 |
+
"step": 12600
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 13.7,
|
| 1021 |
+
"grad_norm": 1.312321662902832,
|
| 1022 |
+
"learning_rate": 0.00010492505353319058,
|
| 1023 |
+
"loss": 0.372,
|
| 1024 |
+
"step": 12800
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 13.7,
|
| 1028 |
+
"eval_accuracy": 0.8040712468193384,
|
| 1029 |
+
"eval_loss": 0.5042534470558167,
|
| 1030 |
+
"eval_runtime": 2.9651,
|
| 1031 |
+
"eval_samples_per_second": 530.16,
|
| 1032 |
+
"eval_steps_per_second": 16.863,
|
| 1033 |
+
"step": 12800
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 13.92,
|
| 1037 |
+
"grad_norm": 1.642741322517395,
|
| 1038 |
+
"learning_rate": 0.00010135617416131332,
|
| 1039 |
+
"loss": 0.388,
|
| 1040 |
+
"step": 13000
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 13.92,
|
| 1044 |
+
"eval_accuracy": 0.8072519083969466,
|
| 1045 |
+
"eval_loss": 0.5095480680465698,
|
| 1046 |
+
"eval_runtime": 2.9526,
|
| 1047 |
+
"eval_samples_per_second": 532.404,
|
| 1048 |
+
"eval_steps_per_second": 16.934,
|
| 1049 |
+
"step": 13000
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 14.13,
|
| 1053 |
+
"grad_norm": 1.10377836227417,
|
| 1054 |
+
"learning_rate": 9.778729478943611e-05,
|
| 1055 |
+
"loss": 0.3754,
|
| 1056 |
+
"step": 13200
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 14.13,
|
| 1060 |
+
"eval_accuracy": 0.8021628498727735,
|
| 1061 |
+
"eval_loss": 0.5103972554206848,
|
| 1062 |
+
"eval_runtime": 2.9663,
|
| 1063 |
+
"eval_samples_per_second": 529.954,
|
| 1064 |
+
"eval_steps_per_second": 16.856,
|
| 1065 |
+
"step": 13200
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 14.35,
|
| 1069 |
+
"grad_norm": 1.1614229679107666,
|
| 1070 |
+
"learning_rate": 9.421841541755888e-05,
|
| 1071 |
+
"loss": 0.3639,
|
| 1072 |
+
"step": 13400
|
| 1073 |
+
},
|
| 1074 |
+
{
|
| 1075 |
+
"epoch": 14.35,
|
| 1076 |
+
"eval_accuracy": 0.7983460559796438,
|
| 1077 |
+
"eval_loss": 0.5263165235519409,
|
| 1078 |
+
"eval_runtime": 2.9391,
|
| 1079 |
+
"eval_samples_per_second": 534.858,
|
| 1080 |
+
"eval_steps_per_second": 17.012,
|
| 1081 |
+
"step": 13400
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 14.56,
|
| 1085 |
+
"grad_norm": 1.6049692630767822,
|
| 1086 |
+
"learning_rate": 9.064953604568166e-05,
|
| 1087 |
+
"loss": 0.3795,
|
| 1088 |
+
"step": 13600
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 14.56,
|
| 1092 |
+
"eval_accuracy": 0.8015267175572519,
|
| 1093 |
+
"eval_loss": 0.5145931839942932,
|
| 1094 |
+
"eval_runtime": 2.9465,
|
| 1095 |
+
"eval_samples_per_second": 533.506,
|
| 1096 |
+
"eval_steps_per_second": 16.969,
|
| 1097 |
+
"step": 13600
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 14.78,
|
| 1101 |
+
"grad_norm": 2.813002347946167,
|
| 1102 |
+
"learning_rate": 8.708065667380442e-05,
|
| 1103 |
+
"loss": 0.3792,
|
| 1104 |
+
"step": 13800
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 14.78,
|
| 1108 |
+
"eval_accuracy": 0.8040712468193384,
|
| 1109 |
+
"eval_loss": 0.5066380500793457,
|
| 1110 |
+
"eval_runtime": 2.9409,
|
| 1111 |
+
"eval_samples_per_second": 534.523,
|
| 1112 |
+
"eval_steps_per_second": 17.001,
|
| 1113 |
+
"step": 13800
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 14.99,
|
| 1117 |
+
"grad_norm": 1.2670201063156128,
|
| 1118 |
+
"learning_rate": 8.351177730192719e-05,
|
| 1119 |
+
"loss": 0.3589,
|
| 1120 |
+
"step": 14000
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"epoch": 14.99,
|
| 1124 |
+
"eval_accuracy": 0.8078880407124682,
|
| 1125 |
+
"eval_loss": 0.5135853886604309,
|
| 1126 |
+
"eval_runtime": 2.962,
|
| 1127 |
+
"eval_samples_per_second": 530.717,
|
| 1128 |
+
"eval_steps_per_second": 16.88,
|
| 1129 |
+
"step": 14000
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 15.2,
|
| 1133 |
+
"grad_norm": 1.9681557416915894,
|
| 1134 |
+
"learning_rate": 7.994289793004996e-05,
|
| 1135 |
+
"loss": 0.3624,
|
| 1136 |
+
"step": 14200
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 15.2,
|
| 1140 |
+
"eval_accuracy": 0.8021628498727735,
|
| 1141 |
+
"eval_loss": 0.5237164497375488,
|
| 1142 |
+
"eval_runtime": 2.9535,
|
| 1143 |
+
"eval_samples_per_second": 532.245,
|
| 1144 |
+
"eval_steps_per_second": 16.929,
|
| 1145 |
+
"step": 14200
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 15.42,
|
| 1149 |
+
"grad_norm": 1.8548041582107544,
|
| 1150 |
+
"learning_rate": 7.637401855817274e-05,
|
| 1151 |
+
"loss": 0.3659,
|
| 1152 |
+
"step": 14400
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 15.42,
|
| 1156 |
+
"eval_accuracy": 0.8059796437659033,
|
| 1157 |
+
"eval_loss": 0.5165674090385437,
|
| 1158 |
+
"eval_runtime": 2.9482,
|
| 1159 |
+
"eval_samples_per_second": 533.2,
|
| 1160 |
+
"eval_steps_per_second": 16.959,
|
| 1161 |
+
"step": 14400
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 15.63,
|
| 1165 |
+
"grad_norm": 1.3727173805236816,
|
| 1166 |
+
"learning_rate": 7.28051391862955e-05,
|
| 1167 |
+
"loss": 0.3657,
|
| 1168 |
+
"step": 14600
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 15.63,
|
| 1172 |
+
"eval_accuracy": 0.8002544529262087,
|
| 1173 |
+
"eval_loss": 0.5177738070487976,
|
| 1174 |
+
"eval_runtime": 2.9451,
|
| 1175 |
+
"eval_samples_per_second": 533.764,
|
| 1176 |
+
"eval_steps_per_second": 16.977,
|
| 1177 |
+
"step": 14600
|
| 1178 |
+
},
|
| 1179 |
+
{
|
| 1180 |
+
"epoch": 15.85,
|
| 1181 |
+
"grad_norm": 2.10198974609375,
|
| 1182 |
+
"learning_rate": 6.923625981441827e-05,
|
| 1183 |
+
"loss": 0.359,
|
| 1184 |
+
"step": 14800
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 15.85,
|
| 1188 |
+
"eval_accuracy": 0.7983460559796438,
|
| 1189 |
+
"eval_loss": 0.5152426362037659,
|
| 1190 |
+
"eval_runtime": 2.9473,
|
| 1191 |
+
"eval_samples_per_second": 533.372,
|
| 1192 |
+
"eval_steps_per_second": 16.965,
|
| 1193 |
+
"step": 14800
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 16.06,
|
| 1197 |
+
"grad_norm": 1.0453667640686035,
|
| 1198 |
+
"learning_rate": 6.566738044254104e-05,
|
| 1199 |
+
"loss": 0.3677,
|
| 1200 |
+
"step": 15000
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 16.06,
|
| 1204 |
+
"eval_accuracy": 0.8034351145038168,
|
| 1205 |
+
"eval_loss": 0.5211815237998962,
|
| 1206 |
+
"eval_runtime": 2.9478,
|
| 1207 |
+
"eval_samples_per_second": 533.274,
|
| 1208 |
+
"eval_steps_per_second": 16.962,
|
| 1209 |
+
"step": 15000
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 16.27,
|
| 1213 |
+
"grad_norm": 1.0645538568496704,
|
| 1214 |
+
"learning_rate": 6.20985010706638e-05,
|
| 1215 |
+
"loss": 0.3521,
|
| 1216 |
+
"step": 15200
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 16.27,
|
| 1220 |
+
"eval_accuracy": 0.8002544529262087,
|
| 1221 |
+
"eval_loss": 0.5323696732521057,
|
| 1222 |
+
"eval_runtime": 2.9594,
|
| 1223 |
+
"eval_samples_per_second": 531.197,
|
| 1224 |
+
"eval_steps_per_second": 16.896,
|
| 1225 |
+
"step": 15200
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 16.49,
|
| 1229 |
+
"grad_norm": 3.849015951156616,
|
| 1230 |
+
"learning_rate": 5.852962169878657e-05,
|
| 1231 |
+
"loss": 0.3589,
|
| 1232 |
+
"step": 15400
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 16.49,
|
| 1236 |
+
"eval_accuracy": 0.8040712468193384,
|
| 1237 |
+
"eval_loss": 0.5237988829612732,
|
| 1238 |
+
"eval_runtime": 2.9364,
|
| 1239 |
+
"eval_samples_per_second": 535.357,
|
| 1240 |
+
"eval_steps_per_second": 17.028,
|
| 1241 |
+
"step": 15400
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 16.7,
|
| 1245 |
+
"grad_norm": 1.3231987953186035,
|
| 1246 |
+
"learning_rate": 5.496074232690935e-05,
|
| 1247 |
+
"loss": 0.3695,
|
| 1248 |
+
"step": 15600
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 16.7,
|
| 1252 |
+
"eval_accuracy": 0.7977099236641222,
|
| 1253 |
+
"eval_loss": 0.511340320110321,
|
| 1254 |
+
"eval_runtime": 2.969,
|
| 1255 |
+
"eval_samples_per_second": 529.468,
|
| 1256 |
+
"eval_steps_per_second": 16.841,
|
| 1257 |
+
"step": 15600
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 16.92,
|
| 1261 |
+
"grad_norm": 1.7709985971450806,
|
| 1262 |
+
"learning_rate": 5.139186295503211e-05,
|
| 1263 |
+
"loss": 0.3606,
|
| 1264 |
+
"step": 15800
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 16.92,
|
| 1268 |
+
"eval_accuracy": 0.7983460559796438,
|
| 1269 |
+
"eval_loss": 0.5136662721633911,
|
| 1270 |
+
"eval_runtime": 2.9594,
|
| 1271 |
+
"eval_samples_per_second": 531.193,
|
| 1272 |
+
"eval_steps_per_second": 16.895,
|
| 1273 |
+
"step": 15800
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 17.13,
|
| 1277 |
+
"grad_norm": 1.5108495950698853,
|
| 1278 |
+
"learning_rate": 4.782298358315489e-05,
|
| 1279 |
+
"loss": 0.3581,
|
| 1280 |
+
"step": 16000
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 17.13,
|
| 1284 |
+
"eval_accuracy": 0.799618320610687,
|
| 1285 |
+
"eval_loss": 0.5130853056907654,
|
| 1286 |
+
"eval_runtime": 2.9611,
|
| 1287 |
+
"eval_samples_per_second": 530.882,
|
| 1288 |
+
"eval_steps_per_second": 16.886,
|
| 1289 |
+
"step": 16000
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 17.34,
|
| 1293 |
+
"grad_norm": 1.3634617328643799,
|
| 1294 |
+
"learning_rate": 4.4254104211277655e-05,
|
| 1295 |
+
"loss": 0.3488,
|
| 1296 |
+
"step": 16200
|
| 1297 |
+
},
|
| 1298 |
+
{
|
| 1299 |
+
"epoch": 17.34,
|
| 1300 |
+
"eval_accuracy": 0.7989821882951654,
|
| 1301 |
+
"eval_loss": 0.5270070433616638,
|
| 1302 |
+
"eval_runtime": 2.9953,
|
| 1303 |
+
"eval_samples_per_second": 524.824,
|
| 1304 |
+
"eval_steps_per_second": 16.693,
|
| 1305 |
+
"step": 16200
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 17.56,
|
| 1309 |
+
"grad_norm": 1.0239213705062866,
|
| 1310 |
+
"learning_rate": 4.068522483940043e-05,
|
| 1311 |
+
"loss": 0.3499,
|
| 1312 |
+
"step": 16400
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 17.56,
|
| 1316 |
+
"eval_accuracy": 0.7964376590330788,
|
| 1317 |
+
"eval_loss": 0.523576021194458,
|
| 1318 |
+
"eval_runtime": 2.9356,
|
| 1319 |
+
"eval_samples_per_second": 535.502,
|
| 1320 |
+
"eval_steps_per_second": 17.033,
|
| 1321 |
+
"step": 16400
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 17.77,
|
| 1325 |
+
"grad_norm": 1.108484148979187,
|
| 1326 |
+
"learning_rate": 3.7116345467523195e-05,
|
| 1327 |
+
"loss": 0.3603,
|
| 1328 |
+
"step": 16600
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 17.77,
|
| 1332 |
+
"eval_accuracy": 0.8002544529262087,
|
| 1333 |
+
"eval_loss": 0.5186541080474854,
|
| 1334 |
+
"eval_runtime": 2.9666,
|
| 1335 |
+
"eval_samples_per_second": 529.891,
|
| 1336 |
+
"eval_steps_per_second": 16.854,
|
| 1337 |
+
"step": 16600
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 17.99,
|
| 1341 |
+
"grad_norm": 2.816092014312744,
|
| 1342 |
+
"learning_rate": 3.354746609564596e-05,
|
| 1343 |
+
"loss": 0.3578,
|
| 1344 |
+
"step": 16800
|
| 1345 |
+
},
|
| 1346 |
+
{
|
| 1347 |
+
"epoch": 17.99,
|
| 1348 |
+
"eval_accuracy": 0.8021628498727735,
|
| 1349 |
+
"eval_loss": 0.5223926901817322,
|
| 1350 |
+
"eval_runtime": 2.9355,
|
| 1351 |
+
"eval_samples_per_second": 535.521,
|
| 1352 |
+
"eval_steps_per_second": 17.033,
|
| 1353 |
+
"step": 16800
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 18.2,
|
| 1357 |
+
"grad_norm": 1.5831489562988281,
|
| 1358 |
+
"learning_rate": 2.997858672376873e-05,
|
| 1359 |
+
"loss": 0.3449,
|
| 1360 |
+
"step": 17000
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 18.2,
|
| 1364 |
+
"eval_accuracy": 0.7989821882951654,
|
| 1365 |
+
"eval_loss": 0.5227622389793396,
|
| 1366 |
+
"eval_runtime": 2.9602,
|
| 1367 |
+
"eval_samples_per_second": 531.048,
|
| 1368 |
+
"eval_steps_per_second": 16.891,
|
| 1369 |
+
"step": 17000
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 18.42,
|
| 1373 |
+
"grad_norm": 1.0060327053070068,
|
| 1374 |
+
"learning_rate": 2.64097073518915e-05,
|
| 1375 |
+
"loss": 0.3418,
|
| 1376 |
+
"step": 17200
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 18.42,
|
| 1380 |
+
"eval_accuracy": 0.8008905852417303,
|
| 1381 |
+
"eval_loss": 0.5287216901779175,
|
| 1382 |
+
"eval_runtime": 2.9537,
|
| 1383 |
+
"eval_samples_per_second": 532.21,
|
| 1384 |
+
"eval_steps_per_second": 16.928,
|
| 1385 |
+
"step": 17200
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 18.63,
|
| 1389 |
+
"grad_norm": 1.8092093467712402,
|
| 1390 |
+
"learning_rate": 2.2840827980014274e-05,
|
| 1391 |
+
"loss": 0.3334,
|
| 1392 |
+
"step": 17400
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 18.63,
|
| 1396 |
+
"eval_accuracy": 0.799618320610687,
|
| 1397 |
+
"eval_loss": 0.5322315096855164,
|
| 1398 |
+
"eval_runtime": 2.9745,
|
| 1399 |
+
"eval_samples_per_second": 528.484,
|
| 1400 |
+
"eval_steps_per_second": 16.809,
|
| 1401 |
+
"step": 17400
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 18.84,
|
| 1405 |
+
"grad_norm": 1.4800430536270142,
|
| 1406 |
+
"learning_rate": 1.9271948608137044e-05,
|
| 1407 |
+
"loss": 0.3567,
|
| 1408 |
+
"step": 17600
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"epoch": 18.84,
|
| 1412 |
+
"eval_accuracy": 0.7983460559796438,
|
| 1413 |
+
"eval_loss": 0.5293812155723572,
|
| 1414 |
+
"eval_runtime": 2.9485,
|
| 1415 |
+
"eval_samples_per_second": 533.161,
|
| 1416 |
+
"eval_steps_per_second": 16.958,
|
| 1417 |
+
"step": 17600
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 19.06,
|
| 1421 |
+
"grad_norm": 1.6271811723709106,
|
| 1422 |
+
"learning_rate": 1.5703069236259814e-05,
|
| 1423 |
+
"loss": 0.3541,
|
| 1424 |
+
"step": 17800
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 19.06,
|
| 1428 |
+
"eval_accuracy": 0.8002544529262087,
|
| 1429 |
+
"eval_loss": 0.5250320434570312,
|
| 1430 |
+
"eval_runtime": 2.9479,
|
| 1431 |
+
"eval_samples_per_second": 533.268,
|
| 1432 |
+
"eval_steps_per_second": 16.961,
|
| 1433 |
+
"step": 17800
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 19.27,
|
| 1437 |
+
"grad_norm": 0.7758527994155884,
|
| 1438 |
+
"learning_rate": 1.2134189864382584e-05,
|
| 1439 |
+
"loss": 0.365,
|
| 1440 |
+
"step": 18000
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 19.27,
|
| 1444 |
+
"eval_accuracy": 0.7983460559796438,
|
| 1445 |
+
"eval_loss": 0.5246437788009644,
|
| 1446 |
+
"eval_runtime": 2.9363,
|
| 1447 |
+
"eval_samples_per_second": 535.369,
|
| 1448 |
+
"eval_steps_per_second": 17.028,
|
| 1449 |
+
"step": 18000
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 19.49,
|
| 1453 |
+
"grad_norm": 0.9722337126731873,
|
| 1454 |
+
"learning_rate": 8.565310492505352e-06,
|
| 1455 |
+
"loss": 0.337,
|
| 1456 |
+
"step": 18200
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 19.49,
|
| 1460 |
+
"eval_accuracy": 0.7977099236641222,
|
| 1461 |
+
"eval_loss": 0.527810275554657,
|
| 1462 |
+
"eval_runtime": 2.9383,
|
| 1463 |
+
"eval_samples_per_second": 535.006,
|
| 1464 |
+
"eval_steps_per_second": 17.017,
|
| 1465 |
+
"step": 18200
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 19.7,
|
| 1469 |
+
"grad_norm": 1.5007203817367554,
|
| 1470 |
+
"learning_rate": 4.996431120628123e-06,
|
| 1471 |
+
"loss": 0.3301,
|
| 1472 |
+
"step": 18400
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 19.7,
|
| 1476 |
+
"eval_accuracy": 0.7989821882951654,
|
| 1477 |
+
"eval_loss": 0.5283259153366089,
|
| 1478 |
+
"eval_runtime": 2.9603,
|
| 1479 |
+
"eval_samples_per_second": 531.035,
|
| 1480 |
+
"eval_steps_per_second": 16.89,
|
| 1481 |
+
"step": 18400
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 19.91,
|
| 1485 |
+
"grad_norm": 1.1220752000808716,
|
| 1486 |
+
"learning_rate": 1.4275517487508921e-06,
|
| 1487 |
+
"loss": 0.3421,
|
| 1488 |
+
"step": 18600
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 19.91,
|
| 1492 |
+
"eval_accuracy": 0.7977099236641222,
|
| 1493 |
+
"eval_loss": 0.5287136435508728,
|
| 1494 |
+
"eval_runtime": 2.9398,
|
| 1495 |
+
"eval_samples_per_second": 534.737,
|
| 1496 |
+
"eval_steps_per_second": 17.008,
|
| 1497 |
+
"step": 18600
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 20.0,
|
| 1501 |
+
"step": 18680,
|
| 1502 |
+
"total_flos": 1.44512252251488e+16,
|
| 1503 |
+
"train_loss": 0.42864556159401346,
|
| 1504 |
+
"train_runtime": 2680.553,
|
| 1505 |
+
"train_samples_per_second": 222.82,
|
| 1506 |
+
"train_steps_per_second": 6.969
|
| 1507 |
+
}
|
| 1508 |
+
],
|
| 1509 |
+
"logging_steps": 200,
|
| 1510 |
+
"max_steps": 18680,
|
| 1511 |
+
"num_input_tokens_seen": 0,
|
| 1512 |
+
"num_train_epochs": 20,
|
| 1513 |
+
"save_steps": 200,
|
| 1514 |
+
"total_flos": 1.44512252251488e+16,
|
| 1515 |
+
"train_batch_size": 32,
|
| 1516 |
+
"trial_name": null,
|
| 1517 |
+
"trial_params": null
|
| 1518 |
+
}
|