Commit
•
e4d435e
1
Parent(s):
54dd7f3
Upload trainer_state.json with huggingface_hub
Browse files- trainer_state.json +2974 -0
trainer_state.json
ADDED
@@ -0,0 +1,2974 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.04516952857375145,
|
3 |
+
"best_model_checkpoint": "./models/results_short_jokes_47/checkpoint-3400",
|
4 |
+
"epoch": 0.6262086748319367,
|
5 |
+
"global_step": 3400,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.0,
|
12 |
+
"learning_rate": 8.000000000000001e-07,
|
13 |
+
"loss": 0.691,
|
14 |
+
"step": 8
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.0,
|
18 |
+
"learning_rate": 1.6000000000000001e-06,
|
19 |
+
"loss": 0.6954,
|
20 |
+
"step": 16
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.0,
|
24 |
+
"learning_rate": 2.4000000000000003e-06,
|
25 |
+
"loss": 0.6964,
|
26 |
+
"step": 24
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.01,
|
30 |
+
"learning_rate": 3.2000000000000003e-06,
|
31 |
+
"loss": 0.6855,
|
32 |
+
"step": 32
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.01,
|
36 |
+
"learning_rate": 4.000000000000001e-06,
|
37 |
+
"loss": 0.6916,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.01,
|
42 |
+
"learning_rate": 4.800000000000001e-06,
|
43 |
+
"loss": 0.6845,
|
44 |
+
"step": 48
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.01,
|
48 |
+
"learning_rate": 5.600000000000001e-06,
|
49 |
+
"loss": 0.6708,
|
50 |
+
"step": 56
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.01,
|
54 |
+
"learning_rate": 6.4000000000000006e-06,
|
55 |
+
"loss": 0.6411,
|
56 |
+
"step": 64
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.01,
|
60 |
+
"learning_rate": 7.2e-06,
|
61 |
+
"loss": 0.5579,
|
62 |
+
"step": 72
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.01,
|
66 |
+
"learning_rate": 7.9e-06,
|
67 |
+
"loss": 0.3916,
|
68 |
+
"step": 80
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.02,
|
72 |
+
"learning_rate": 8.7e-06,
|
73 |
+
"loss": 0.262,
|
74 |
+
"step": 88
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.02,
|
78 |
+
"learning_rate": 9.5e-06,
|
79 |
+
"loss": 0.2353,
|
80 |
+
"step": 96
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.02,
|
84 |
+
"eval_accuracy": 0.9376661947024899,
|
85 |
+
"eval_f1": 0.9405800441123219,
|
86 |
+
"eval_loss": 0.1874532550573349,
|
87 |
+
"eval_precision": 0.9014102280972963,
|
88 |
+
"eval_recall": 0.9833086691674984,
|
89 |
+
"eval_runtime": 312.5596,
|
90 |
+
"eval_samples_per_second": 185.289,
|
91 |
+
"eval_steps_per_second": 23.164,
|
92 |
+
"step": 100
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.02,
|
96 |
+
"learning_rate": 1.03e-05,
|
97 |
+
"loss": 0.193,
|
98 |
+
"step": 104
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.02,
|
102 |
+
"learning_rate": 1.11e-05,
|
103 |
+
"loss": 0.1671,
|
104 |
+
"step": 112
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.02,
|
108 |
+
"learning_rate": 1.19e-05,
|
109 |
+
"loss": 0.1242,
|
110 |
+
"step": 120
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.02,
|
114 |
+
"learning_rate": 1.2600000000000001e-05,
|
115 |
+
"loss": 0.1497,
|
116 |
+
"step": 128
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.03,
|
120 |
+
"learning_rate": 1.3400000000000002e-05,
|
121 |
+
"loss": 0.1173,
|
122 |
+
"step": 136
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.03,
|
126 |
+
"learning_rate": 1.42e-05,
|
127 |
+
"loss": 0.1598,
|
128 |
+
"step": 144
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.03,
|
132 |
+
"learning_rate": 1.5e-05,
|
133 |
+
"loss": 0.1312,
|
134 |
+
"step": 152
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.03,
|
138 |
+
"learning_rate": 1.58e-05,
|
139 |
+
"loss": 0.1374,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.03,
|
144 |
+
"learning_rate": 1.66e-05,
|
145 |
+
"loss": 0.1055,
|
146 |
+
"step": 168
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.03,
|
150 |
+
"learning_rate": 1.74e-05,
|
151 |
+
"loss": 0.1114,
|
152 |
+
"step": 176
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.03,
|
156 |
+
"learning_rate": 1.8200000000000002e-05,
|
157 |
+
"loss": 0.1404,
|
158 |
+
"step": 184
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.04,
|
162 |
+
"learning_rate": 1.9e-05,
|
163 |
+
"loss": 0.1289,
|
164 |
+
"step": 192
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.04,
|
168 |
+
"learning_rate": 1.9800000000000004e-05,
|
169 |
+
"loss": 0.136,
|
170 |
+
"step": 200
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.04,
|
174 |
+
"eval_accuracy": 0.962185309251649,
|
175 |
+
"eval_f1": 0.9613947257086447,
|
176 |
+
"eval_loss": 0.11203108727931976,
|
177 |
+
"eval_precision": 0.9854721549636803,
|
178 |
+
"eval_recall": 0.9384657741680146,
|
179 |
+
"eval_runtime": 315.0228,
|
180 |
+
"eval_samples_per_second": 183.841,
|
181 |
+
"eval_steps_per_second": 22.982,
|
182 |
+
"step": 200
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.04,
|
186 |
+
"learning_rate": 2.06e-05,
|
187 |
+
"loss": 0.1112,
|
188 |
+
"step": 208
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.04,
|
192 |
+
"learning_rate": 2.1400000000000002e-05,
|
193 |
+
"loss": 0.1447,
|
194 |
+
"step": 216
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.04,
|
198 |
+
"learning_rate": 2.22e-05,
|
199 |
+
"loss": 0.143,
|
200 |
+
"step": 224
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.04,
|
204 |
+
"learning_rate": 2.3000000000000003e-05,
|
205 |
+
"loss": 0.1175,
|
206 |
+
"step": 232
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.04,
|
210 |
+
"learning_rate": 2.38e-05,
|
211 |
+
"loss": 0.1208,
|
212 |
+
"step": 240
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.05,
|
216 |
+
"learning_rate": 2.46e-05,
|
217 |
+
"loss": 0.1563,
|
218 |
+
"step": 248
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.05,
|
222 |
+
"learning_rate": 2.54e-05,
|
223 |
+
"loss": 0.0701,
|
224 |
+
"step": 256
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.05,
|
228 |
+
"learning_rate": 2.6200000000000003e-05,
|
229 |
+
"loss": 0.0881,
|
230 |
+
"step": 264
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.05,
|
234 |
+
"learning_rate": 2.7000000000000002e-05,
|
235 |
+
"loss": 0.1091,
|
236 |
+
"step": 272
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.05,
|
240 |
+
"learning_rate": 2.7800000000000005e-05,
|
241 |
+
"loss": 0.1512,
|
242 |
+
"step": 280
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.05,
|
246 |
+
"learning_rate": 2.86e-05,
|
247 |
+
"loss": 0.0802,
|
248 |
+
"step": 288
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.05,
|
252 |
+
"learning_rate": 2.94e-05,
|
253 |
+
"loss": 0.103,
|
254 |
+
"step": 296
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.06,
|
258 |
+
"eval_accuracy": 0.9501674897261456,
|
259 |
+
"eval_f1": 0.9481028591979861,
|
260 |
+
"eval_loss": 0.13948623836040497,
|
261 |
+
"eval_precision": 0.992806839151885,
|
262 |
+
"eval_recall": 0.9072512647554806,
|
263 |
+
"eval_runtime": 304.8107,
|
264 |
+
"eval_samples_per_second": 190.0,
|
265 |
+
"eval_steps_per_second": 23.752,
|
266 |
+
"step": 300
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.06,
|
270 |
+
"learning_rate": 3.02e-05,
|
271 |
+
"loss": 0.0864,
|
272 |
+
"step": 304
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.06,
|
276 |
+
"learning_rate": 3.1e-05,
|
277 |
+
"loss": 0.0991,
|
278 |
+
"step": 312
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.06,
|
282 |
+
"learning_rate": 3.18e-05,
|
283 |
+
"loss": 0.0577,
|
284 |
+
"step": 320
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.06,
|
288 |
+
"learning_rate": 3.26e-05,
|
289 |
+
"loss": 0.1446,
|
290 |
+
"step": 328
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.06,
|
294 |
+
"learning_rate": 3.3400000000000005e-05,
|
295 |
+
"loss": 0.1009,
|
296 |
+
"step": 336
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.06,
|
300 |
+
"learning_rate": 3.4200000000000005e-05,
|
301 |
+
"loss": 0.1059,
|
302 |
+
"step": 344
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.06,
|
306 |
+
"learning_rate": 3.5e-05,
|
307 |
+
"loss": 0.1156,
|
308 |
+
"step": 352
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.07,
|
312 |
+
"learning_rate": 3.58e-05,
|
313 |
+
"loss": 0.0714,
|
314 |
+
"step": 360
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.07,
|
318 |
+
"learning_rate": 3.66e-05,
|
319 |
+
"loss": 0.0862,
|
320 |
+
"step": 368
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.07,
|
324 |
+
"learning_rate": 3.74e-05,
|
325 |
+
"loss": 0.1634,
|
326 |
+
"step": 376
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.07,
|
330 |
+
"learning_rate": 3.82e-05,
|
331 |
+
"loss": 0.0953,
|
332 |
+
"step": 384
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.07,
|
336 |
+
"learning_rate": 3.9000000000000006e-05,
|
337 |
+
"loss": 0.0822,
|
338 |
+
"step": 392
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.07,
|
342 |
+
"learning_rate": 3.9800000000000005e-05,
|
343 |
+
"loss": 0.0768,
|
344 |
+
"step": 400
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.07,
|
348 |
+
"eval_accuracy": 0.973028973995925,
|
349 |
+
"eval_f1": 0.9733447098976109,
|
350 |
+
"eval_loss": 0.08835102617740631,
|
351 |
+
"eval_precision": 0.9653386589039705,
|
352 |
+
"eval_recall": 0.9814846680662147,
|
353 |
+
"eval_runtime": 320.6331,
|
354 |
+
"eval_samples_per_second": 180.624,
|
355 |
+
"eval_steps_per_second": 22.58,
|
356 |
+
"step": 400
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.08,
|
360 |
+
"learning_rate": 4.0600000000000004e-05,
|
361 |
+
"loss": 0.1154,
|
362 |
+
"step": 408
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.08,
|
366 |
+
"learning_rate": 4.14e-05,
|
367 |
+
"loss": 0.1243,
|
368 |
+
"step": 416
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.08,
|
372 |
+
"learning_rate": 4.22e-05,
|
373 |
+
"loss": 0.0727,
|
374 |
+
"step": 424
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.08,
|
378 |
+
"learning_rate": 4.3e-05,
|
379 |
+
"loss": 0.0955,
|
380 |
+
"step": 432
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.08,
|
384 |
+
"learning_rate": 4.38e-05,
|
385 |
+
"loss": 0.0822,
|
386 |
+
"step": 440
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.08,
|
390 |
+
"learning_rate": 4.46e-05,
|
391 |
+
"loss": 0.1043,
|
392 |
+
"step": 448
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.08,
|
396 |
+
"learning_rate": 4.5400000000000006e-05,
|
397 |
+
"loss": 0.1473,
|
398 |
+
"step": 456
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.09,
|
402 |
+
"learning_rate": 4.6200000000000005e-05,
|
403 |
+
"loss": 0.0848,
|
404 |
+
"step": 464
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.09,
|
408 |
+
"learning_rate": 4.7e-05,
|
409 |
+
"loss": 0.139,
|
410 |
+
"step": 472
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.09,
|
414 |
+
"learning_rate": 4.78e-05,
|
415 |
+
"loss": 0.103,
|
416 |
+
"step": 480
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.09,
|
420 |
+
"learning_rate": 4.86e-05,
|
421 |
+
"loss": 0.1075,
|
422 |
+
"step": 488
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.09,
|
426 |
+
"learning_rate": 4.94e-05,
|
427 |
+
"loss": 0.1285,
|
428 |
+
"step": 496
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.09,
|
432 |
+
"eval_accuracy": 0.9650861622405636,
|
433 |
+
"eval_f1": 0.9643335920412051,
|
434 |
+
"eval_loss": 0.10335744917392731,
|
435 |
+
"eval_precision": 0.9891442011941378,
|
436 |
+
"eval_recall": 0.9407371717658396,
|
437 |
+
"eval_runtime": 317.7591,
|
438 |
+
"eval_samples_per_second": 182.258,
|
439 |
+
"eval_steps_per_second": 22.785,
|
440 |
+
"step": 500
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.09,
|
444 |
+
"learning_rate": 4.997971190910936e-05,
|
445 |
+
"loss": 0.085,
|
446 |
+
"step": 504
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.09,
|
450 |
+
"learning_rate": 4.989855954554677e-05,
|
451 |
+
"loss": 0.1381,
|
452 |
+
"step": 512
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.1,
|
456 |
+
"learning_rate": 4.9817407181984176e-05,
|
457 |
+
"loss": 0.1202,
|
458 |
+
"step": 520
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.1,
|
462 |
+
"learning_rate": 4.973625481842159e-05,
|
463 |
+
"loss": 0.0778,
|
464 |
+
"step": 528
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.1,
|
468 |
+
"learning_rate": 4.9655102454859e-05,
|
469 |
+
"loss": 0.0872,
|
470 |
+
"step": 536
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.1,
|
474 |
+
"learning_rate": 4.957395009129641e-05,
|
475 |
+
"loss": 0.1364,
|
476 |
+
"step": 544
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.1,
|
480 |
+
"learning_rate": 4.9492797727733825e-05,
|
481 |
+
"loss": 0.1305,
|
482 |
+
"step": 552
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.1,
|
486 |
+
"learning_rate": 4.9411645364171234e-05,
|
487 |
+
"loss": 0.0677,
|
488 |
+
"step": 560
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.1,
|
492 |
+
"learning_rate": 4.933049300060865e-05,
|
493 |
+
"loss": 0.1187,
|
494 |
+
"step": 568
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.11,
|
498 |
+
"learning_rate": 4.924934063704605e-05,
|
499 |
+
"loss": 0.1605,
|
500 |
+
"step": 576
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.11,
|
504 |
+
"learning_rate": 4.916818827348347e-05,
|
505 |
+
"loss": 0.1732,
|
506 |
+
"step": 584
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.11,
|
510 |
+
"learning_rate": 4.908703590992088e-05,
|
511 |
+
"loss": 0.104,
|
512 |
+
"step": 592
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.11,
|
516 |
+
"learning_rate": 4.900588354635829e-05,
|
517 |
+
"loss": 0.0872,
|
518 |
+
"step": 600
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.11,
|
522 |
+
"eval_accuracy": 0.973305245709155,
|
523 |
+
"eval_f1": 0.9731382701462973,
|
524 |
+
"eval_loss": 0.081203892827034,
|
525 |
+
"eval_precision": 0.982699933326315,
|
526 |
+
"eval_recall": 0.9637608837801562,
|
527 |
+
"eval_runtime": 323.1202,
|
528 |
+
"eval_samples_per_second": 179.234,
|
529 |
+
"eval_steps_per_second": 22.407,
|
530 |
+
"step": 600
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.11,
|
534 |
+
"learning_rate": 4.89247311827957e-05,
|
535 |
+
"loss": 0.0921,
|
536 |
+
"step": 608
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.11,
|
540 |
+
"learning_rate": 4.884357881923311e-05,
|
541 |
+
"loss": 0.069,
|
542 |
+
"step": 616
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.11,
|
546 |
+
"learning_rate": 4.8762426455670526e-05,
|
547 |
+
"loss": 0.0517,
|
548 |
+
"step": 624
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.12,
|
552 |
+
"learning_rate": 4.8681274092107935e-05,
|
553 |
+
"loss": 0.1178,
|
554 |
+
"step": 632
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.12,
|
558 |
+
"learning_rate": 4.8600121728545343e-05,
|
559 |
+
"loss": 0.154,
|
560 |
+
"step": 640
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.12,
|
564 |
+
"learning_rate": 4.851896936498276e-05,
|
565 |
+
"loss": 0.0999,
|
566 |
+
"step": 648
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.12,
|
570 |
+
"learning_rate": 4.843781700142017e-05,
|
571 |
+
"loss": 0.0949,
|
572 |
+
"step": 656
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.12,
|
576 |
+
"learning_rate": 4.835666463785758e-05,
|
577 |
+
"loss": 0.0821,
|
578 |
+
"step": 664
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.12,
|
582 |
+
"learning_rate": 4.827551227429499e-05,
|
583 |
+
"loss": 0.0947,
|
584 |
+
"step": 672
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.13,
|
588 |
+
"learning_rate": 4.81943599107324e-05,
|
589 |
+
"loss": 0.1451,
|
590 |
+
"step": 680
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.13,
|
594 |
+
"learning_rate": 4.811320754716982e-05,
|
595 |
+
"loss": 0.084,
|
596 |
+
"step": 688
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.13,
|
600 |
+
"learning_rate": 4.8032055183607226e-05,
|
601 |
+
"loss": 0.0659,
|
602 |
+
"step": 696
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.13,
|
606 |
+
"eval_accuracy": 0.9683668888351694,
|
607 |
+
"eval_f1": 0.9678054266835373,
|
608 |
+
"eval_loss": 0.13082686066627502,
|
609 |
+
"eval_precision": 0.9888318310769563,
|
610 |
+
"eval_recall": 0.9476546099046701,
|
611 |
+
"eval_runtime": 319.8968,
|
612 |
+
"eval_samples_per_second": 181.04,
|
613 |
+
"eval_steps_per_second": 22.632,
|
614 |
+
"step": 700
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.13,
|
618 |
+
"learning_rate": 4.7950902820044635e-05,
|
619 |
+
"loss": 0.1008,
|
620 |
+
"step": 704
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.13,
|
624 |
+
"learning_rate": 4.786975045648205e-05,
|
625 |
+
"loss": 0.1163,
|
626 |
+
"step": 712
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.13,
|
630 |
+
"learning_rate": 4.778859809291946e-05,
|
631 |
+
"loss": 0.0985,
|
632 |
+
"step": 720
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.13,
|
636 |
+
"learning_rate": 4.770744572935687e-05,
|
637 |
+
"loss": 0.1044,
|
638 |
+
"step": 728
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.14,
|
642 |
+
"learning_rate": 4.7626293365794284e-05,
|
643 |
+
"loss": 0.0954,
|
644 |
+
"step": 736
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.14,
|
648 |
+
"learning_rate": 4.754514100223169e-05,
|
649 |
+
"loss": 0.084,
|
650 |
+
"step": 744
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.14,
|
654 |
+
"learning_rate": 4.74639886386691e-05,
|
655 |
+
"loss": 0.1018,
|
656 |
+
"step": 752
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.14,
|
660 |
+
"learning_rate": 4.738283627510651e-05,
|
661 |
+
"loss": 0.0698,
|
662 |
+
"step": 760
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.14,
|
666 |
+
"learning_rate": 4.730168391154393e-05,
|
667 |
+
"loss": 0.1247,
|
668 |
+
"step": 768
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.14,
|
672 |
+
"learning_rate": 4.722053154798134e-05,
|
673 |
+
"loss": 0.0551,
|
674 |
+
"step": 776
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.14,
|
678 |
+
"learning_rate": 4.7139379184418745e-05,
|
679 |
+
"loss": 0.0788,
|
680 |
+
"step": 784
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.15,
|
684 |
+
"learning_rate": 4.705822682085616e-05,
|
685 |
+
"loss": 0.1147,
|
686 |
+
"step": 792
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.15,
|
690 |
+
"learning_rate": 4.697707445729357e-05,
|
691 |
+
"loss": 0.0704,
|
692 |
+
"step": 800
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.15,
|
696 |
+
"eval_accuracy": 0.9718720861967746,
|
697 |
+
"eval_f1": 0.9722992160797185,
|
698 |
+
"eval_loss": 0.08833611011505127,
|
699 |
+
"eval_precision": 0.9609747899159664,
|
700 |
+
"eval_recall": 0.9838937261245139,
|
701 |
+
"eval_runtime": 320.3064,
|
702 |
+
"eval_samples_per_second": 180.808,
|
703 |
+
"eval_steps_per_second": 22.603,
|
704 |
+
"step": 800
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.15,
|
708 |
+
"learning_rate": 4.6895922093730985e-05,
|
709 |
+
"loss": 0.1034,
|
710 |
+
"step": 808
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.15,
|
714 |
+
"learning_rate": 4.6814769730168394e-05,
|
715 |
+
"loss": 0.1137,
|
716 |
+
"step": 816
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.15,
|
720 |
+
"learning_rate": 4.67336173666058e-05,
|
721 |
+
"loss": 0.0647,
|
722 |
+
"step": 824
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.15,
|
726 |
+
"learning_rate": 4.665246500304322e-05,
|
727 |
+
"loss": 0.1009,
|
728 |
+
"step": 832
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.15,
|
732 |
+
"learning_rate": 4.657131263948063e-05,
|
733 |
+
"loss": 0.0659,
|
734 |
+
"step": 840
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.16,
|
738 |
+
"learning_rate": 4.6490160275918036e-05,
|
739 |
+
"loss": 0.0619,
|
740 |
+
"step": 848
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.16,
|
744 |
+
"learning_rate": 4.640900791235545e-05,
|
745 |
+
"loss": 0.0762,
|
746 |
+
"step": 856
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.16,
|
750 |
+
"learning_rate": 4.632785554879286e-05,
|
751 |
+
"loss": 0.0348,
|
752 |
+
"step": 864
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.16,
|
756 |
+
"learning_rate": 4.624670318523027e-05,
|
757 |
+
"loss": 0.0976,
|
758 |
+
"step": 872
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.16,
|
762 |
+
"learning_rate": 4.6165550821667686e-05,
|
763 |
+
"loss": 0.0727,
|
764 |
+
"step": 880
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.16,
|
768 |
+
"learning_rate": 4.6084398458105094e-05,
|
769 |
+
"loss": 0.0572,
|
770 |
+
"step": 888
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.17,
|
774 |
+
"learning_rate": 4.600324609454251e-05,
|
775 |
+
"loss": 0.0582,
|
776 |
+
"step": 896
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 0.17,
|
780 |
+
"eval_accuracy": 0.973028973995925,
|
781 |
+
"eval_f1": 0.973034561336878,
|
782 |
+
"eval_loss": 0.08047471195459366,
|
783 |
+
"eval_precision": 0.9762028473449028,
|
784 |
+
"eval_recall": 0.9698867742712599,
|
785 |
+
"eval_runtime": 320.2553,
|
786 |
+
"eval_samples_per_second": 180.837,
|
787 |
+
"eval_steps_per_second": 22.607,
|
788 |
+
"step": 900
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.17,
|
792 |
+
"learning_rate": 4.592209373097991e-05,
|
793 |
+
"loss": 0.098,
|
794 |
+
"step": 904
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.17,
|
798 |
+
"learning_rate": 4.584094136741733e-05,
|
799 |
+
"loss": 0.1056,
|
800 |
+
"step": 912
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.17,
|
804 |
+
"learning_rate": 4.5759789003854744e-05,
|
805 |
+
"loss": 0.0511,
|
806 |
+
"step": 920
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 0.17,
|
810 |
+
"learning_rate": 4.567863664029215e-05,
|
811 |
+
"loss": 0.092,
|
812 |
+
"step": 928
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 0.17,
|
816 |
+
"learning_rate": 4.559748427672956e-05,
|
817 |
+
"loss": 0.0727,
|
818 |
+
"step": 936
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 0.17,
|
822 |
+
"learning_rate": 4.551633191316697e-05,
|
823 |
+
"loss": 0.0495,
|
824 |
+
"step": 944
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 0.18,
|
828 |
+
"learning_rate": 4.5435179549604386e-05,
|
829 |
+
"loss": 0.0912,
|
830 |
+
"step": 952
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.18,
|
834 |
+
"learning_rate": 4.5354027186041795e-05,
|
835 |
+
"loss": 0.0717,
|
836 |
+
"step": 960
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.18,
|
840 |
+
"learning_rate": 4.5272874822479204e-05,
|
841 |
+
"loss": 0.0395,
|
842 |
+
"step": 968
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.18,
|
846 |
+
"learning_rate": 4.519172245891662e-05,
|
847 |
+
"loss": 0.1236,
|
848 |
+
"step": 976
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 0.18,
|
852 |
+
"learning_rate": 4.511057009535403e-05,
|
853 |
+
"loss": 0.1675,
|
854 |
+
"step": 984
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 0.18,
|
858 |
+
"learning_rate": 4.502941773179144e-05,
|
859 |
+
"loss": 0.0863,
|
860 |
+
"step": 992
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.18,
|
864 |
+
"learning_rate": 4.494826536822885e-05,
|
865 |
+
"loss": 0.0867,
|
866 |
+
"step": 1000
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 0.18,
|
870 |
+
"eval_accuracy": 0.9773457195151432,
|
871 |
+
"eval_f1": 0.977261698440208,
|
872 |
+
"eval_loss": 0.06294739246368408,
|
873 |
+
"eval_precision": 0.984324267709388,
|
874 |
+
"eval_recall": 0.9702997556526827,
|
875 |
+
"eval_runtime": 318.1602,
|
876 |
+
"eval_samples_per_second": 182.028,
|
877 |
+
"eval_steps_per_second": 22.756,
|
878 |
+
"step": 1000
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.19,
|
882 |
+
"learning_rate": 4.486711300466626e-05,
|
883 |
+
"loss": 0.1165,
|
884 |
+
"step": 1008
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.19,
|
888 |
+
"learning_rate": 4.478596064110368e-05,
|
889 |
+
"loss": 0.083,
|
890 |
+
"step": 1016
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 0.19,
|
894 |
+
"learning_rate": 4.470480827754109e-05,
|
895 |
+
"loss": 0.083,
|
896 |
+
"step": 1024
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.19,
|
900 |
+
"learning_rate": 4.4623655913978496e-05,
|
901 |
+
"loss": 0.0775,
|
902 |
+
"step": 1032
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.19,
|
906 |
+
"learning_rate": 4.454250355041591e-05,
|
907 |
+
"loss": 0.0958,
|
908 |
+
"step": 1040
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 0.19,
|
912 |
+
"learning_rate": 4.446135118685332e-05,
|
913 |
+
"loss": 0.0814,
|
914 |
+
"step": 1048
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.19,
|
918 |
+
"learning_rate": 4.438019882329073e-05,
|
919 |
+
"loss": 0.0633,
|
920 |
+
"step": 1056
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.2,
|
924 |
+
"learning_rate": 4.4299046459728145e-05,
|
925 |
+
"loss": 0.0876,
|
926 |
+
"step": 1064
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.2,
|
930 |
+
"learning_rate": 4.4217894096165554e-05,
|
931 |
+
"loss": 0.0853,
|
932 |
+
"step": 1072
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.2,
|
936 |
+
"learning_rate": 4.413674173260296e-05,
|
937 |
+
"loss": 0.0678,
|
938 |
+
"step": 1080
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.2,
|
942 |
+
"learning_rate": 4.405558936904037e-05,
|
943 |
+
"loss": 0.0541,
|
944 |
+
"step": 1088
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 0.2,
|
948 |
+
"learning_rate": 4.397443700547779e-05,
|
949 |
+
"loss": 0.1059,
|
950 |
+
"step": 1096
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 0.2,
|
954 |
+
"eval_accuracy": 0.9705252615947785,
|
955 |
+
"eval_f1": 0.9711601817905354,
|
956 |
+
"eval_loss": 0.08772066235542297,
|
957 |
+
"eval_precision": 0.9538364529403955,
|
958 |
+
"eval_recall": 0.9891248236225351,
|
959 |
+
"eval_runtime": 320.9793,
|
960 |
+
"eval_samples_per_second": 180.429,
|
961 |
+
"eval_steps_per_second": 22.556,
|
962 |
+
"step": 1100
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.2,
|
966 |
+
"learning_rate": 4.38932846419152e-05,
|
967 |
+
"loss": 0.0416,
|
968 |
+
"step": 1104
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.2,
|
972 |
+
"learning_rate": 4.3812132278352605e-05,
|
973 |
+
"loss": 0.108,
|
974 |
+
"step": 1112
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.21,
|
978 |
+
"learning_rate": 4.373097991479002e-05,
|
979 |
+
"loss": 0.0706,
|
980 |
+
"step": 1120
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.21,
|
984 |
+
"learning_rate": 4.364982755122743e-05,
|
985 |
+
"loss": 0.1139,
|
986 |
+
"step": 1128
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 0.21,
|
990 |
+
"learning_rate": 4.3568675187664845e-05,
|
991 |
+
"loss": 0.0468,
|
992 |
+
"step": 1136
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 0.21,
|
996 |
+
"learning_rate": 4.3487522824102254e-05,
|
997 |
+
"loss": 0.113,
|
998 |
+
"step": 1144
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.21,
|
1002 |
+
"learning_rate": 4.340637046053966e-05,
|
1003 |
+
"loss": 0.0934,
|
1004 |
+
"step": 1152
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.21,
|
1008 |
+
"learning_rate": 4.332521809697708e-05,
|
1009 |
+
"loss": 0.1363,
|
1010 |
+
"step": 1160
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.22,
|
1014 |
+
"learning_rate": 4.324406573341449e-05,
|
1015 |
+
"loss": 0.0816,
|
1016 |
+
"step": 1168
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.22,
|
1020 |
+
"learning_rate": 4.31629133698519e-05,
|
1021 |
+
"loss": 0.0846,
|
1022 |
+
"step": 1176
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 0.22,
|
1026 |
+
"learning_rate": 4.308176100628931e-05,
|
1027 |
+
"loss": 0.0652,
|
1028 |
+
"step": 1184
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.22,
|
1032 |
+
"learning_rate": 4.300060864272672e-05,
|
1033 |
+
"loss": 0.1003,
|
1034 |
+
"step": 1192
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 0.22,
|
1038 |
+
"learning_rate": 4.291945627916413e-05,
|
1039 |
+
"loss": 0.1021,
|
1040 |
+
"step": 1200
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 0.22,
|
1044 |
+
"eval_accuracy": 0.9757571571640709,
|
1045 |
+
"eval_f1": 0.9760752504941722,
|
1046 |
+
"eval_loss": 0.0945325568318367,
|
1047 |
+
"eval_precision": 0.966685793364161,
|
1048 |
+
"eval_recall": 0.9856488969955605,
|
1049 |
+
"eval_runtime": 324.5414,
|
1050 |
+
"eval_samples_per_second": 178.449,
|
1051 |
+
"eval_steps_per_second": 22.308,
|
1052 |
+
"step": 1200
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.22,
|
1056 |
+
"learning_rate": 4.2838303915601546e-05,
|
1057 |
+
"loss": 0.0968,
|
1058 |
+
"step": 1208
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.22,
|
1062 |
+
"learning_rate": 4.2757151552038955e-05,
|
1063 |
+
"loss": 0.076,
|
1064 |
+
"step": 1216
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 0.23,
|
1068 |
+
"learning_rate": 4.267599918847637e-05,
|
1069 |
+
"loss": 0.0614,
|
1070 |
+
"step": 1224
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 0.23,
|
1074 |
+
"learning_rate": 4.259484682491377e-05,
|
1075 |
+
"loss": 0.0889,
|
1076 |
+
"step": 1232
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 0.23,
|
1080 |
+
"learning_rate": 4.251369446135119e-05,
|
1081 |
+
"loss": 0.0951,
|
1082 |
+
"step": 1240
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 0.23,
|
1086 |
+
"learning_rate": 4.2432542097788604e-05,
|
1087 |
+
"loss": 0.0406,
|
1088 |
+
"step": 1248
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.23,
|
1092 |
+
"learning_rate": 4.235138973422601e-05,
|
1093 |
+
"loss": 0.0786,
|
1094 |
+
"step": 1256
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.23,
|
1098 |
+
"learning_rate": 4.227023737066342e-05,
|
1099 |
+
"loss": 0.104,
|
1100 |
+
"step": 1264
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 0.23,
|
1104 |
+
"learning_rate": 4.218908500710083e-05,
|
1105 |
+
"loss": 0.1195,
|
1106 |
+
"step": 1272
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 0.24,
|
1110 |
+
"learning_rate": 4.210793264353825e-05,
|
1111 |
+
"loss": 0.0644,
|
1112 |
+
"step": 1280
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.24,
|
1116 |
+
"learning_rate": 4.2026780279975656e-05,
|
1117 |
+
"loss": 0.0485,
|
1118 |
+
"step": 1288
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.24,
|
1122 |
+
"learning_rate": 4.1945627916413064e-05,
|
1123 |
+
"loss": 0.0737,
|
1124 |
+
"step": 1296
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 0.24,
|
1128 |
+
"eval_accuracy": 0.9794522913285216,
|
1129 |
+
"eval_f1": 0.9795680093403386,
|
1130 |
+
"eval_loss": 0.062313616275787354,
|
1131 |
+
"eval_precision": 0.9774199074867226,
|
1132 |
+
"eval_recall": 0.9817255738720446,
|
1133 |
+
"eval_runtime": 318.2777,
|
1134 |
+
"eval_samples_per_second": 181.961,
|
1135 |
+
"eval_steps_per_second": 22.747,
|
1136 |
+
"step": 1300
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.24,
|
1140 |
+
"learning_rate": 4.186447555285048e-05,
|
1141 |
+
"loss": 0.1107,
|
1142 |
+
"step": 1304
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 0.24,
|
1146 |
+
"learning_rate": 4.178332318928789e-05,
|
1147 |
+
"loss": 0.0381,
|
1148 |
+
"step": 1312
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 0.24,
|
1152 |
+
"learning_rate": 4.17021708257253e-05,
|
1153 |
+
"loss": 0.0901,
|
1154 |
+
"step": 1320
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.24,
|
1158 |
+
"learning_rate": 4.1621018462162714e-05,
|
1159 |
+
"loss": 0.1092,
|
1160 |
+
"step": 1328
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.25,
|
1164 |
+
"learning_rate": 4.153986609860012e-05,
|
1165 |
+
"loss": 0.0992,
|
1166 |
+
"step": 1336
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 0.25,
|
1170 |
+
"learning_rate": 4.145871373503754e-05,
|
1171 |
+
"loss": 0.0763,
|
1172 |
+
"step": 1344
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.25,
|
1176 |
+
"learning_rate": 4.137756137147495e-05,
|
1177 |
+
"loss": 0.0871,
|
1178 |
+
"step": 1352
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.25,
|
1182 |
+
"learning_rate": 4.1296409007912356e-05,
|
1183 |
+
"loss": 0.0894,
|
1184 |
+
"step": 1360
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 0.25,
|
1188 |
+
"learning_rate": 4.121525664434977e-05,
|
1189 |
+
"loss": 0.0837,
|
1190 |
+
"step": 1368
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 0.25,
|
1194 |
+
"learning_rate": 4.113410428078718e-05,
|
1195 |
+
"loss": 0.0786,
|
1196 |
+
"step": 1376
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.25,
|
1200 |
+
"learning_rate": 4.105295191722459e-05,
|
1201 |
+
"loss": 0.0617,
|
1202 |
+
"step": 1384
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.26,
|
1206 |
+
"learning_rate": 4.0971799553662005e-05,
|
1207 |
+
"loss": 0.1143,
|
1208 |
+
"step": 1392
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 0.26,
|
1212 |
+
"learning_rate": 4.0890647190099414e-05,
|
1213 |
+
"loss": 0.0505,
|
1214 |
+
"step": 1400
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.26,
|
1218 |
+
"eval_accuracy": 0.980471043271057,
|
1219 |
+
"eval_f1": 0.9804956283304879,
|
1220 |
+
"eval_loss": 0.060013771057128906,
|
1221 |
+
"eval_precision": 0.9826477704804701,
|
1222 |
+
"eval_recall": 0.9783528925904257,
|
1223 |
+
"eval_runtime": 321.185,
|
1224 |
+
"eval_samples_per_second": 180.314,
|
1225 |
+
"eval_steps_per_second": 22.542,
|
1226 |
+
"step": 1400
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 0.26,
|
1230 |
+
"learning_rate": 4.080949482653682e-05,
|
1231 |
+
"loss": 0.0471,
|
1232 |
+
"step": 1408
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 0.26,
|
1236 |
+
"learning_rate": 4.072834246297423e-05,
|
1237 |
+
"loss": 0.0651,
|
1238 |
+
"step": 1416
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 0.26,
|
1242 |
+
"learning_rate": 4.064719009941165e-05,
|
1243 |
+
"loss": 0.0796,
|
1244 |
+
"step": 1424
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.26,
|
1248 |
+
"learning_rate": 4.0566037735849064e-05,
|
1249 |
+
"loss": 0.0486,
|
1250 |
+
"step": 1432
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 0.27,
|
1254 |
+
"learning_rate": 4.0484885372286466e-05,
|
1255 |
+
"loss": 0.1081,
|
1256 |
+
"step": 1440
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 0.27,
|
1260 |
+
"learning_rate": 4.040373300872388e-05,
|
1261 |
+
"loss": 0.0397,
|
1262 |
+
"step": 1448
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.27,
|
1266 |
+
"learning_rate": 4.032258064516129e-05,
|
1267 |
+
"loss": 0.0586,
|
1268 |
+
"step": 1456
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 0.27,
|
1272 |
+
"learning_rate": 4.0241428281598706e-05,
|
1273 |
+
"loss": 0.0511,
|
1274 |
+
"step": 1464
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 0.27,
|
1278 |
+
"learning_rate": 4.0160275918036115e-05,
|
1279 |
+
"loss": 0.0273,
|
1280 |
+
"step": 1472
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 0.27,
|
1284 |
+
"learning_rate": 4.0079123554473524e-05,
|
1285 |
+
"loss": 0.09,
|
1286 |
+
"step": 1480
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 0.27,
|
1290 |
+
"learning_rate": 3.999797119091094e-05,
|
1291 |
+
"loss": 0.1026,
|
1292 |
+
"step": 1488
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 0.28,
|
1296 |
+
"learning_rate": 3.991681882734835e-05,
|
1297 |
+
"loss": 0.1159,
|
1298 |
+
"step": 1496
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.28,
|
1302 |
+
"eval_accuracy": 0.979538626238906,
|
1303 |
+
"eval_f1": 0.9796374258956955,
|
1304 |
+
"eval_loss": 0.059322111308574677,
|
1305 |
+
"eval_precision": 0.9782757910632164,
|
1306 |
+
"eval_recall": 0.9810028564545549,
|
1307 |
+
"eval_runtime": 320.1061,
|
1308 |
+
"eval_samples_per_second": 180.921,
|
1309 |
+
"eval_steps_per_second": 22.618,
|
1310 |
+
"step": 1500
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 0.28,
|
1314 |
+
"learning_rate": 3.983566646378576e-05,
|
1315 |
+
"loss": 0.055,
|
1316 |
+
"step": 1504
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 0.28,
|
1320 |
+
"learning_rate": 3.975451410022317e-05,
|
1321 |
+
"loss": 0.0556,
|
1322 |
+
"step": 1512
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 0.28,
|
1326 |
+
"learning_rate": 3.967336173666058e-05,
|
1327 |
+
"loss": 0.0569,
|
1328 |
+
"step": 1520
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 0.28,
|
1332 |
+
"learning_rate": 3.959220937309799e-05,
|
1333 |
+
"loss": 0.0622,
|
1334 |
+
"step": 1528
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 0.28,
|
1338 |
+
"learning_rate": 3.9511057009535407e-05,
|
1339 |
+
"loss": 0.0546,
|
1340 |
+
"step": 1536
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 0.28,
|
1344 |
+
"learning_rate": 3.9429904645972815e-05,
|
1345 |
+
"loss": 0.08,
|
1346 |
+
"step": 1544
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.29,
|
1350 |
+
"learning_rate": 3.934875228241023e-05,
|
1351 |
+
"loss": 0.0657,
|
1352 |
+
"step": 1552
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 0.29,
|
1356 |
+
"learning_rate": 3.926759991884763e-05,
|
1357 |
+
"loss": 0.0414,
|
1358 |
+
"step": 1560
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 0.29,
|
1362 |
+
"learning_rate": 3.918644755528505e-05,
|
1363 |
+
"loss": 0.0747,
|
1364 |
+
"step": 1568
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 0.29,
|
1368 |
+
"learning_rate": 3.9105295191722465e-05,
|
1369 |
+
"loss": 0.0617,
|
1370 |
+
"step": 1576
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 0.29,
|
1374 |
+
"learning_rate": 3.9024142828159874e-05,
|
1375 |
+
"loss": 0.0318,
|
1376 |
+
"step": 1584
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 0.29,
|
1380 |
+
"learning_rate": 3.894299046459728e-05,
|
1381 |
+
"loss": 0.1025,
|
1382 |
+
"step": 1592
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 0.29,
|
1386 |
+
"learning_rate": 3.886183810103469e-05,
|
1387 |
+
"loss": 0.1075,
|
1388 |
+
"step": 1600
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.29,
|
1392 |
+
"eval_accuracy": 0.9777946610491418,
|
1393 |
+
"eval_f1": 0.9776805859280085,
|
1394 |
+
"eval_loss": 0.07334825396537781,
|
1395 |
+
"eval_precision": 0.9861699520324919,
|
1396 |
+
"eval_recall": 0.969336132429363,
|
1397 |
+
"eval_runtime": 318.519,
|
1398 |
+
"eval_samples_per_second": 181.823,
|
1399 |
+
"eval_steps_per_second": 22.73,
|
1400 |
+
"step": 1600
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 0.3,
|
1404 |
+
"learning_rate": 3.878068573747211e-05,
|
1405 |
+
"loss": 0.0735,
|
1406 |
+
"step": 1608
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 0.3,
|
1410 |
+
"learning_rate": 3.8699533373909516e-05,
|
1411 |
+
"loss": 0.1103,
|
1412 |
+
"step": 1616
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 0.3,
|
1416 |
+
"learning_rate": 3.8618381010346925e-05,
|
1417 |
+
"loss": 0.0638,
|
1418 |
+
"step": 1624
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 0.3,
|
1422 |
+
"learning_rate": 3.853722864678434e-05,
|
1423 |
+
"loss": 0.0608,
|
1424 |
+
"step": 1632
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.3,
|
1428 |
+
"learning_rate": 3.845607628322175e-05,
|
1429 |
+
"loss": 0.0609,
|
1430 |
+
"step": 1640
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.3,
|
1434 |
+
"learning_rate": 3.837492391965916e-05,
|
1435 |
+
"loss": 0.0606,
|
1436 |
+
"step": 1648
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 0.31,
|
1440 |
+
"learning_rate": 3.8293771556096574e-05,
|
1441 |
+
"loss": 0.0834,
|
1442 |
+
"step": 1656
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 0.31,
|
1446 |
+
"learning_rate": 3.821261919253398e-05,
|
1447 |
+
"loss": 0.0889,
|
1448 |
+
"step": 1664
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 0.31,
|
1452 |
+
"learning_rate": 3.81314668289714e-05,
|
1453 |
+
"loss": 0.0464,
|
1454 |
+
"step": 1672
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 0.31,
|
1458 |
+
"learning_rate": 3.805031446540881e-05,
|
1459 |
+
"loss": 0.0473,
|
1460 |
+
"step": 1680
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 0.31,
|
1464 |
+
"learning_rate": 3.796916210184622e-05,
|
1465 |
+
"loss": 0.0484,
|
1466 |
+
"step": 1688
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 0.31,
|
1470 |
+
"learning_rate": 3.788800973828363e-05,
|
1471 |
+
"loss": 0.0938,
|
1472 |
+
"step": 1696
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.31,
|
1476 |
+
"eval_accuracy": 0.9813343923749007,
|
1477 |
+
"eval_f1": 0.9813185863648146,
|
1478 |
+
"eval_loss": 0.06325095146894455,
|
1479 |
+
"eval_precision": 0.9855595667870036,
|
1480 |
+
"eval_recall": 0.9771139484461575,
|
1481 |
+
"eval_runtime": 318.5283,
|
1482 |
+
"eval_samples_per_second": 181.817,
|
1483 |
+
"eval_steps_per_second": 22.73,
|
1484 |
+
"step": 1700
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 0.31,
|
1488 |
+
"learning_rate": 3.780685737472104e-05,
|
1489 |
+
"loss": 0.0528,
|
1490 |
+
"step": 1704
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 0.32,
|
1494 |
+
"learning_rate": 3.772570501115845e-05,
|
1495 |
+
"loss": 0.0541,
|
1496 |
+
"step": 1712
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 0.32,
|
1500 |
+
"learning_rate": 3.7644552647595866e-05,
|
1501 |
+
"loss": 0.0737,
|
1502 |
+
"step": 1720
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 0.32,
|
1506 |
+
"learning_rate": 3.7563400284033275e-05,
|
1507 |
+
"loss": 0.0593,
|
1508 |
+
"step": 1728
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 0.32,
|
1512 |
+
"learning_rate": 3.7482247920470684e-05,
|
1513 |
+
"loss": 0.0866,
|
1514 |
+
"step": 1736
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.32,
|
1518 |
+
"learning_rate": 3.740109555690809e-05,
|
1519 |
+
"loss": 0.0564,
|
1520 |
+
"step": 1744
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 0.32,
|
1524 |
+
"learning_rate": 3.731994319334551e-05,
|
1525 |
+
"loss": 0.0599,
|
1526 |
+
"step": 1752
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 0.32,
|
1530 |
+
"learning_rate": 3.7238790829782924e-05,
|
1531 |
+
"loss": 0.0726,
|
1532 |
+
"step": 1760
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 0.33,
|
1536 |
+
"learning_rate": 3.7157638466220326e-05,
|
1537 |
+
"loss": 0.0675,
|
1538 |
+
"step": 1768
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 0.33,
|
1542 |
+
"learning_rate": 3.707648610265774e-05,
|
1543 |
+
"loss": 0.0783,
|
1544 |
+
"step": 1776
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 0.33,
|
1548 |
+
"learning_rate": 3.699533373909515e-05,
|
1549 |
+
"loss": 0.065,
|
1550 |
+
"step": 1784
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 0.33,
|
1554 |
+
"learning_rate": 3.6914181375532566e-05,
|
1555 |
+
"loss": 0.0599,
|
1556 |
+
"step": 1792
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.33,
|
1560 |
+
"learning_rate": 3.6833029011969975e-05,
|
1561 |
+
"loss": 0.0708,
|
1562 |
+
"step": 1800
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 0.33,
|
1566 |
+
"eval_accuracy": 0.9794695583105985,
|
1567 |
+
"eval_f1": 0.9794158890639337,
|
1568 |
+
"eval_loss": 0.06451611965894699,
|
1569 |
+
"eval_precision": 0.9854037483452937,
|
1570 |
+
"eval_recall": 0.9735003613587088,
|
1571 |
+
"eval_runtime": 315.4864,
|
1572 |
+
"eval_samples_per_second": 183.57,
|
1573 |
+
"eval_steps_per_second": 22.949,
|
1574 |
+
"step": 1800
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 0.33,
|
1578 |
+
"learning_rate": 3.6751876648407384e-05,
|
1579 |
+
"loss": 0.0811,
|
1580 |
+
"step": 1808
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 0.33,
|
1584 |
+
"learning_rate": 3.66707242848448e-05,
|
1585 |
+
"loss": 0.0723,
|
1586 |
+
"step": 1816
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 0.34,
|
1590 |
+
"learning_rate": 3.658957192128221e-05,
|
1591 |
+
"loss": 0.0748,
|
1592 |
+
"step": 1824
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 0.34,
|
1596 |
+
"learning_rate": 3.650841955771962e-05,
|
1597 |
+
"loss": 0.0869,
|
1598 |
+
"step": 1832
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.34,
|
1602 |
+
"learning_rate": 3.6427267194157034e-05,
|
1603 |
+
"loss": 0.0578,
|
1604 |
+
"step": 1840
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 0.34,
|
1608 |
+
"learning_rate": 3.634611483059444e-05,
|
1609 |
+
"loss": 0.0813,
|
1610 |
+
"step": 1848
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 0.34,
|
1614 |
+
"learning_rate": 3.626496246703185e-05,
|
1615 |
+
"loss": 0.0748,
|
1616 |
+
"step": 1856
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 0.34,
|
1620 |
+
"learning_rate": 3.618381010346927e-05,
|
1621 |
+
"loss": 0.0686,
|
1622 |
+
"step": 1864
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 0.34,
|
1626 |
+
"learning_rate": 3.6102657739906676e-05,
|
1627 |
+
"loss": 0.0697,
|
1628 |
+
"step": 1872
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 0.35,
|
1632 |
+
"learning_rate": 3.602150537634409e-05,
|
1633 |
+
"loss": 0.0728,
|
1634 |
+
"step": 1880
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 0.35,
|
1638 |
+
"learning_rate": 3.5940353012781494e-05,
|
1639 |
+
"loss": 0.079,
|
1640 |
+
"step": 1888
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.35,
|
1644 |
+
"learning_rate": 3.585920064921891e-05,
|
1645 |
+
"loss": 0.0719,
|
1646 |
+
"step": 1896
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 0.35,
|
1650 |
+
"eval_accuracy": 0.9799012328625203,
|
1651 |
+
"eval_f1": 0.9800301948943178,
|
1652 |
+
"eval_loss": 0.0590737946331501,
|
1653 |
+
"eval_precision": 0.9771133385789059,
|
1654 |
+
"eval_recall": 0.9829645180163128,
|
1655 |
+
"eval_runtime": 317.0745,
|
1656 |
+
"eval_samples_per_second": 182.651,
|
1657 |
+
"eval_steps_per_second": 22.834,
|
1658 |
+
"step": 1900
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 0.35,
|
1662 |
+
"learning_rate": 3.5778048285656325e-05,
|
1663 |
+
"loss": 0.0502,
|
1664 |
+
"step": 1904
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 0.35,
|
1668 |
+
"learning_rate": 3.5696895922093734e-05,
|
1669 |
+
"loss": 0.0592,
|
1670 |
+
"step": 1912
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 0.35,
|
1674 |
+
"learning_rate": 3.561574355853114e-05,
|
1675 |
+
"loss": 0.0849,
|
1676 |
+
"step": 1920
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 0.36,
|
1680 |
+
"learning_rate": 3.553459119496855e-05,
|
1681 |
+
"loss": 0.1225,
|
1682 |
+
"step": 1928
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.36,
|
1686 |
+
"learning_rate": 3.545343883140597e-05,
|
1687 |
+
"loss": 0.0855,
|
1688 |
+
"step": 1936
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 0.36,
|
1692 |
+
"learning_rate": 3.5372286467843377e-05,
|
1693 |
+
"loss": 0.0652,
|
1694 |
+
"step": 1944
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 0.36,
|
1698 |
+
"learning_rate": 3.5291134104280785e-05,
|
1699 |
+
"loss": 0.0585,
|
1700 |
+
"step": 1952
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 0.36,
|
1704 |
+
"learning_rate": 3.52099817407182e-05,
|
1705 |
+
"loss": 0.0544,
|
1706 |
+
"step": 1960
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 0.36,
|
1710 |
+
"learning_rate": 3.512882937715561e-05,
|
1711 |
+
"loss": 0.0836,
|
1712 |
+
"step": 1968
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 0.36,
|
1716 |
+
"learning_rate": 3.504767701359302e-05,
|
1717 |
+
"loss": 0.0505,
|
1718 |
+
"step": 1976
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 0.37,
|
1722 |
+
"learning_rate": 3.4966524650030435e-05,
|
1723 |
+
"loss": 0.0435,
|
1724 |
+
"step": 1984
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.37,
|
1728 |
+
"learning_rate": 3.4885372286467844e-05,
|
1729 |
+
"loss": 0.078,
|
1730 |
+
"step": 1992
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 0.37,
|
1734 |
+
"learning_rate": 3.480421992290526e-05,
|
1735 |
+
"loss": 0.0365,
|
1736 |
+
"step": 2000
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 0.37,
|
1740 |
+
"eval_accuracy": 0.9795731602030597,
|
1741 |
+
"eval_f1": 0.9794998873620184,
|
1742 |
+
"eval_loss": 0.08517105132341385,
|
1743 |
+
"eval_precision": 0.986457242582897,
|
1744 |
+
"eval_recall": 0.9726399834807448,
|
1745 |
+
"eval_runtime": 319.0106,
|
1746 |
+
"eval_samples_per_second": 181.543,
|
1747 |
+
"eval_steps_per_second": 22.695,
|
1748 |
+
"step": 2000
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 0.37,
|
1752 |
+
"learning_rate": 3.472306755934267e-05,
|
1753 |
+
"loss": 0.0755,
|
1754 |
+
"step": 2008
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 0.37,
|
1758 |
+
"learning_rate": 3.464191519578008e-05,
|
1759 |
+
"loss": 0.0446,
|
1760 |
+
"step": 2016
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 0.37,
|
1764 |
+
"learning_rate": 3.456076283221749e-05,
|
1765 |
+
"loss": 0.045,
|
1766 |
+
"step": 2024
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.37,
|
1770 |
+
"learning_rate": 3.44796104686549e-05,
|
1771 |
+
"loss": 0.0446,
|
1772 |
+
"step": 2032
|
1773 |
+
},
|
1774 |
+
{
|
1775 |
+
"epoch": 0.38,
|
1776 |
+
"learning_rate": 3.439845810509231e-05,
|
1777 |
+
"loss": 0.0601,
|
1778 |
+
"step": 2040
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 0.38,
|
1782 |
+
"learning_rate": 3.4317305741529726e-05,
|
1783 |
+
"loss": 0.0784,
|
1784 |
+
"step": 2048
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 0.38,
|
1788 |
+
"learning_rate": 3.4236153377967135e-05,
|
1789 |
+
"loss": 0.0601,
|
1790 |
+
"step": 2056
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 0.38,
|
1794 |
+
"learning_rate": 3.4155001014404544e-05,
|
1795 |
+
"loss": 0.0628,
|
1796 |
+
"step": 2064
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 0.38,
|
1800 |
+
"learning_rate": 3.407384865084195e-05,
|
1801 |
+
"loss": 0.0805,
|
1802 |
+
"step": 2072
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 0.38,
|
1806 |
+
"learning_rate": 3.399269628727937e-05,
|
1807 |
+
"loss": 0.0429,
|
1808 |
+
"step": 2080
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.38,
|
1812 |
+
"learning_rate": 3.3911543923716785e-05,
|
1813 |
+
"loss": 0.0589,
|
1814 |
+
"step": 2088
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 0.39,
|
1818 |
+
"learning_rate": 3.383039156015419e-05,
|
1819 |
+
"loss": 0.0564,
|
1820 |
+
"step": 2096
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 0.39,
|
1824 |
+
"eval_accuracy": 0.9813171253928239,
|
1825 |
+
"eval_f1": 0.9813274427915645,
|
1826 |
+
"eval_loss": 0.05837487801909447,
|
1827 |
+
"eval_precision": 0.9841808300737305,
|
1828 |
+
"eval_recall": 0.9784905530508999,
|
1829 |
+
"eval_runtime": 319.719,
|
1830 |
+
"eval_samples_per_second": 181.14,
|
1831 |
+
"eval_steps_per_second": 22.645,
|
1832 |
+
"step": 2100
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 0.39,
|
1836 |
+
"learning_rate": 3.37492391965916e-05,
|
1837 |
+
"loss": 0.0755,
|
1838 |
+
"step": 2104
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 0.39,
|
1842 |
+
"learning_rate": 3.366808683302901e-05,
|
1843 |
+
"loss": 0.0578,
|
1844 |
+
"step": 2112
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 0.39,
|
1848 |
+
"learning_rate": 3.358693446946643e-05,
|
1849 |
+
"loss": 0.076,
|
1850 |
+
"step": 2120
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.39,
|
1854 |
+
"learning_rate": 3.3505782105903836e-05,
|
1855 |
+
"loss": 0.0767,
|
1856 |
+
"step": 2128
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 0.39,
|
1860 |
+
"learning_rate": 3.3424629742341245e-05,
|
1861 |
+
"loss": 0.0393,
|
1862 |
+
"step": 2136
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 0.39,
|
1866 |
+
"learning_rate": 3.334347737877866e-05,
|
1867 |
+
"loss": 0.057,
|
1868 |
+
"step": 2144
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 0.4,
|
1872 |
+
"learning_rate": 3.326232501521607e-05,
|
1873 |
+
"loss": 0.0671,
|
1874 |
+
"step": 2152
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 0.4,
|
1878 |
+
"learning_rate": 3.318117265165348e-05,
|
1879 |
+
"loss": 0.0338,
|
1880 |
+
"step": 2160
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 0.4,
|
1884 |
+
"learning_rate": 3.3100020288090894e-05,
|
1885 |
+
"loss": 0.0637,
|
1886 |
+
"step": 2168
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 0.4,
|
1890 |
+
"learning_rate": 3.30188679245283e-05,
|
1891 |
+
"loss": 0.0585,
|
1892 |
+
"step": 2176
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.4,
|
1896 |
+
"learning_rate": 3.293771556096571e-05,
|
1897 |
+
"loss": 0.0699,
|
1898 |
+
"step": 2184
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 0.4,
|
1902 |
+
"learning_rate": 3.285656319740313e-05,
|
1903 |
+
"loss": 0.0357,
|
1904 |
+
"step": 2192
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 0.41,
|
1908 |
+
"learning_rate": 3.2775410833840536e-05,
|
1909 |
+
"loss": 0.0951,
|
1910 |
+
"step": 2200
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 0.41,
|
1914 |
+
"eval_accuracy": 0.9820250716579756,
|
1915 |
+
"eval_f1": 0.9820328276290582,
|
1916 |
+
"eval_loss": 0.05581849440932274,
|
1917 |
+
"eval_precision": 0.9850079634374351,
|
1918 |
+
"eval_recall": 0.9790756100079154,
|
1919 |
+
"eval_runtime": 315.2538,
|
1920 |
+
"eval_samples_per_second": 183.706,
|
1921 |
+
"eval_steps_per_second": 22.966,
|
1922 |
+
"step": 2200
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 0.41,
|
1926 |
+
"learning_rate": 3.269425847027795e-05,
|
1927 |
+
"loss": 0.0712,
|
1928 |
+
"step": 2208
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 0.41,
|
1932 |
+
"learning_rate": 3.2613106106715354e-05,
|
1933 |
+
"loss": 0.0666,
|
1934 |
+
"step": 2216
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.41,
|
1938 |
+
"learning_rate": 3.253195374315277e-05,
|
1939 |
+
"loss": 0.0806,
|
1940 |
+
"step": 2224
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 0.41,
|
1944 |
+
"learning_rate": 3.2450801379590186e-05,
|
1945 |
+
"loss": 0.0511,
|
1946 |
+
"step": 2232
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 0.41,
|
1950 |
+
"learning_rate": 3.2369649016027595e-05,
|
1951 |
+
"loss": 0.0523,
|
1952 |
+
"step": 2240
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 0.41,
|
1956 |
+
"learning_rate": 3.2288496652465004e-05,
|
1957 |
+
"loss": 0.0738,
|
1958 |
+
"step": 2248
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 0.42,
|
1962 |
+
"learning_rate": 3.220734428890241e-05,
|
1963 |
+
"loss": 0.0555,
|
1964 |
+
"step": 2256
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 0.42,
|
1968 |
+
"learning_rate": 3.212619192533983e-05,
|
1969 |
+
"loss": 0.0723,
|
1970 |
+
"step": 2264
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 0.42,
|
1974 |
+
"learning_rate": 3.204503956177724e-05,
|
1975 |
+
"loss": 0.0603,
|
1976 |
+
"step": 2272
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.42,
|
1980 |
+
"learning_rate": 3.1963887198214646e-05,
|
1981 |
+
"loss": 0.0477,
|
1982 |
+
"step": 2280
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 0.42,
|
1986 |
+
"learning_rate": 3.188273483465206e-05,
|
1987 |
+
"loss": 0.0724,
|
1988 |
+
"step": 2288
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 0.42,
|
1992 |
+
"learning_rate": 3.180158247108947e-05,
|
1993 |
+
"loss": 0.0909,
|
1994 |
+
"step": 2296
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 0.42,
|
1998 |
+
"eval_accuracy": 0.9805573781814414,
|
1999 |
+
"eval_f1": 0.9807237990892596,
|
2000 |
+
"eval_loss": 0.05231529101729393,
|
2001 |
+
"eval_precision": 0.9757127771911299,
|
2002 |
+
"eval_recall": 0.9857865574560347,
|
2003 |
+
"eval_runtime": 314.1871,
|
2004 |
+
"eval_samples_per_second": 184.33,
|
2005 |
+
"eval_steps_per_second": 23.044,
|
2006 |
+
"step": 2300
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 0.42,
|
2010 |
+
"learning_rate": 3.172043010752688e-05,
|
2011 |
+
"loss": 0.0451,
|
2012 |
+
"step": 2304
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 0.43,
|
2016 |
+
"learning_rate": 3.1639277743964295e-05,
|
2017 |
+
"loss": 0.0539,
|
2018 |
+
"step": 2312
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.43,
|
2022 |
+
"learning_rate": 3.1558125380401704e-05,
|
2023 |
+
"loss": 0.0669,
|
2024 |
+
"step": 2320
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 0.43,
|
2028 |
+
"learning_rate": 3.147697301683912e-05,
|
2029 |
+
"loss": 0.0439,
|
2030 |
+
"step": 2328
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 0.43,
|
2034 |
+
"learning_rate": 3.139582065327653e-05,
|
2035 |
+
"loss": 0.0849,
|
2036 |
+
"step": 2336
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 0.43,
|
2040 |
+
"learning_rate": 3.131466828971394e-05,
|
2041 |
+
"loss": 0.0798,
|
2042 |
+
"step": 2344
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 0.43,
|
2046 |
+
"learning_rate": 3.123351592615135e-05,
|
2047 |
+
"loss": 0.0699,
|
2048 |
+
"step": 2352
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 0.43,
|
2052 |
+
"learning_rate": 3.115236356258876e-05,
|
2053 |
+
"loss": 0.0707,
|
2054 |
+
"step": 2360
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 0.44,
|
2058 |
+
"learning_rate": 3.107121119902617e-05,
|
2059 |
+
"loss": 0.0432,
|
2060 |
+
"step": 2368
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.44,
|
2064 |
+
"learning_rate": 3.099005883546359e-05,
|
2065 |
+
"loss": 0.074,
|
2066 |
+
"step": 2376
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 0.44,
|
2070 |
+
"learning_rate": 3.0908906471900996e-05,
|
2071 |
+
"loss": 0.091,
|
2072 |
+
"step": 2384
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 0.44,
|
2076 |
+
"learning_rate": 3.0827754108338405e-05,
|
2077 |
+
"loss": 0.0482,
|
2078 |
+
"step": 2392
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 0.44,
|
2082 |
+
"learning_rate": 3.0746601744775814e-05,
|
2083 |
+
"loss": 0.0673,
|
2084 |
+
"step": 2400
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 0.44,
|
2088 |
+
"eval_accuracy": 0.9821804744966675,
|
2089 |
+
"eval_f1": 0.9821866261608035,
|
2090 |
+
"eval_loss": 0.05170663446187973,
|
2091 |
+
"eval_precision": 0.9852477750458842,
|
2092 |
+
"eval_recall": 0.9791444402381526,
|
2093 |
+
"eval_runtime": 314.3647,
|
2094 |
+
"eval_samples_per_second": 184.226,
|
2095 |
+
"eval_steps_per_second": 23.031,
|
2096 |
+
"step": 2400
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 0.44,
|
2100 |
+
"learning_rate": 3.066544938121323e-05,
|
2101 |
+
"loss": 0.0329,
|
2102 |
+
"step": 2408
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.44,
|
2106 |
+
"learning_rate": 3.0584297017650645e-05,
|
2107 |
+
"loss": 0.0723,
|
2108 |
+
"step": 2416
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 0.45,
|
2112 |
+
"learning_rate": 3.050314465408805e-05,
|
2113 |
+
"loss": 0.0806,
|
2114 |
+
"step": 2424
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 0.45,
|
2118 |
+
"learning_rate": 3.0421992290525463e-05,
|
2119 |
+
"loss": 0.0854,
|
2120 |
+
"step": 2432
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 0.45,
|
2124 |
+
"learning_rate": 3.0340839926962872e-05,
|
2125 |
+
"loss": 0.09,
|
2126 |
+
"step": 2440
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 0.45,
|
2130 |
+
"learning_rate": 3.0259687563400284e-05,
|
2131 |
+
"loss": 0.0537,
|
2132 |
+
"step": 2448
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 0.45,
|
2136 |
+
"learning_rate": 3.01785351998377e-05,
|
2137 |
+
"loss": 0.0342,
|
2138 |
+
"step": 2456
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 0.45,
|
2142 |
+
"learning_rate": 3.0097382836275105e-05,
|
2143 |
+
"loss": 0.0874,
|
2144 |
+
"step": 2464
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.46,
|
2148 |
+
"learning_rate": 3.001623047271252e-05,
|
2149 |
+
"loss": 0.0435,
|
2150 |
+
"step": 2472
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 0.46,
|
2154 |
+
"learning_rate": 2.9935078109149927e-05,
|
2155 |
+
"loss": 0.08,
|
2156 |
+
"step": 2480
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 0.46,
|
2160 |
+
"learning_rate": 2.9853925745587342e-05,
|
2161 |
+
"loss": 0.0496,
|
2162 |
+
"step": 2488
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 0.46,
|
2166 |
+
"learning_rate": 2.9772773382024755e-05,
|
2167 |
+
"loss": 0.0338,
|
2168 |
+
"step": 2496
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 0.46,
|
2172 |
+
"eval_accuracy": 0.9790551507407536,
|
2173 |
+
"eval_f1": 0.9788532278028625,
|
2174 |
+
"eval_loss": 0.07079575955867767,
|
2175 |
+
"eval_precision": 0.9918739400791408,
|
2176 |
+
"eval_recall": 0.9661699418384555,
|
2177 |
+
"eval_runtime": 321.7416,
|
2178 |
+
"eval_samples_per_second": 180.002,
|
2179 |
+
"eval_steps_per_second": 22.503,
|
2180 |
+
"step": 2500
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 0.46,
|
2184 |
+
"learning_rate": 2.9691621018462163e-05,
|
2185 |
+
"loss": 0.1099,
|
2186 |
+
"step": 2504
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.46,
|
2190 |
+
"learning_rate": 2.9610468654899576e-05,
|
2191 |
+
"loss": 0.0828,
|
2192 |
+
"step": 2512
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 0.46,
|
2196 |
+
"learning_rate": 2.9529316291336988e-05,
|
2197 |
+
"loss": 0.0722,
|
2198 |
+
"step": 2520
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 0.47,
|
2202 |
+
"learning_rate": 2.9448163927774397e-05,
|
2203 |
+
"loss": 0.0693,
|
2204 |
+
"step": 2528
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 0.47,
|
2208 |
+
"learning_rate": 2.936701156421181e-05,
|
2209 |
+
"loss": 0.0606,
|
2210 |
+
"step": 2536
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 0.47,
|
2214 |
+
"learning_rate": 2.9285859200649218e-05,
|
2215 |
+
"loss": 0.0794,
|
2216 |
+
"step": 2544
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 0.47,
|
2220 |
+
"learning_rate": 2.920470683708663e-05,
|
2221 |
+
"loss": 0.0794,
|
2222 |
+
"step": 2552
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 0.47,
|
2226 |
+
"learning_rate": 2.9123554473524046e-05,
|
2227 |
+
"loss": 0.0353,
|
2228 |
+
"step": 2560
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.47,
|
2232 |
+
"learning_rate": 2.9042402109961452e-05,
|
2233 |
+
"loss": 0.087,
|
2234 |
+
"step": 2568
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 0.47,
|
2238 |
+
"learning_rate": 2.8961249746398867e-05,
|
2239 |
+
"loss": 0.0708,
|
2240 |
+
"step": 2576
|
2241 |
+
},
|
2242 |
+
{
|
2243 |
+
"epoch": 0.48,
|
2244 |
+
"learning_rate": 2.8880097382836273e-05,
|
2245 |
+
"loss": 0.102,
|
2246 |
+
"step": 2584
|
2247 |
+
},
|
2248 |
+
{
|
2249 |
+
"epoch": 0.48,
|
2250 |
+
"learning_rate": 2.879894501927369e-05,
|
2251 |
+
"loss": 0.0967,
|
2252 |
+
"step": 2592
|
2253 |
+
},
|
2254 |
+
{
|
2255 |
+
"epoch": 0.48,
|
2256 |
+
"learning_rate": 2.87177926557111e-05,
|
2257 |
+
"loss": 0.0528,
|
2258 |
+
"step": 2600
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 0.48,
|
2262 |
+
"eval_accuracy": 0.9754981524329178,
|
2263 |
+
"eval_f1": 0.9751056999000018,
|
2264 |
+
"eval_loss": 0.06617435812950134,
|
2265 |
+
"eval_precision": 0.994524763813341,
|
2266 |
+
"eval_recall": 0.956430464259903,
|
2267 |
+
"eval_runtime": 317.2016,
|
2268 |
+
"eval_samples_per_second": 182.578,
|
2269 |
+
"eval_steps_per_second": 22.825,
|
2270 |
+
"step": 2600
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.48,
|
2274 |
+
"learning_rate": 2.863664029214851e-05,
|
2275 |
+
"loss": 0.0414,
|
2276 |
+
"step": 2608
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 0.48,
|
2280 |
+
"learning_rate": 2.8555487928585922e-05,
|
2281 |
+
"loss": 0.0709,
|
2282 |
+
"step": 2616
|
2283 |
+
},
|
2284 |
+
{
|
2285 |
+
"epoch": 0.48,
|
2286 |
+
"learning_rate": 2.847433556502333e-05,
|
2287 |
+
"loss": 0.0676,
|
2288 |
+
"step": 2624
|
2289 |
+
},
|
2290 |
+
{
|
2291 |
+
"epoch": 0.48,
|
2292 |
+
"learning_rate": 2.8393183201460743e-05,
|
2293 |
+
"loss": 0.0444,
|
2294 |
+
"step": 2632
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 0.49,
|
2298 |
+
"learning_rate": 2.8312030837898156e-05,
|
2299 |
+
"loss": 0.074,
|
2300 |
+
"step": 2640
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 0.49,
|
2304 |
+
"learning_rate": 2.8230878474335565e-05,
|
2305 |
+
"loss": 0.0723,
|
2306 |
+
"step": 2648
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 0.49,
|
2310 |
+
"learning_rate": 2.8149726110772977e-05,
|
2311 |
+
"loss": 0.0471,
|
2312 |
+
"step": 2656
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.49,
|
2316 |
+
"learning_rate": 2.8068573747210393e-05,
|
2317 |
+
"loss": 0.0475,
|
2318 |
+
"step": 2664
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 0.49,
|
2322 |
+
"learning_rate": 2.7987421383647798e-05,
|
2323 |
+
"loss": 0.0507,
|
2324 |
+
"step": 2672
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 0.49,
|
2328 |
+
"learning_rate": 2.7906269020085214e-05,
|
2329 |
+
"loss": 0.0465,
|
2330 |
+
"step": 2680
|
2331 |
+
},
|
2332 |
+
{
|
2333 |
+
"epoch": 0.5,
|
2334 |
+
"learning_rate": 2.782511665652262e-05,
|
2335 |
+
"loss": 0.0358,
|
2336 |
+
"step": 2688
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"epoch": 0.5,
|
2340 |
+
"learning_rate": 2.7743964292960035e-05,
|
2341 |
+
"loss": 0.0662,
|
2342 |
+
"step": 2696
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 0.5,
|
2346 |
+
"eval_accuracy": 0.9828020858514349,
|
2347 |
+
"eval_f1": 0.9828204774389403,
|
2348 |
+
"eval_loss": 0.05437169969081879,
|
2349 |
+
"eval_precision": 0.9851654621529099,
|
2350 |
+
"eval_recall": 0.9804866297277764,
|
2351 |
+
"eval_runtime": 318.7613,
|
2352 |
+
"eval_samples_per_second": 181.685,
|
2353 |
+
"eval_steps_per_second": 22.713,
|
2354 |
+
"step": 2700
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.5,
|
2358 |
+
"learning_rate": 2.7662811929397447e-05,
|
2359 |
+
"loss": 0.0568,
|
2360 |
+
"step": 2704
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 0.5,
|
2364 |
+
"learning_rate": 2.7581659565834856e-05,
|
2365 |
+
"loss": 0.0558,
|
2366 |
+
"step": 2712
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 0.5,
|
2370 |
+
"learning_rate": 2.750050720227227e-05,
|
2371 |
+
"loss": 0.0535,
|
2372 |
+
"step": 2720
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 0.5,
|
2376 |
+
"learning_rate": 2.7419354838709678e-05,
|
2377 |
+
"loss": 0.0641,
|
2378 |
+
"step": 2728
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 0.5,
|
2382 |
+
"learning_rate": 2.733820247514709e-05,
|
2383 |
+
"loss": 0.0529,
|
2384 |
+
"step": 2736
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 0.51,
|
2388 |
+
"learning_rate": 2.7257050111584502e-05,
|
2389 |
+
"loss": 0.0754,
|
2390 |
+
"step": 2744
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 0.51,
|
2394 |
+
"learning_rate": 2.717589774802191e-05,
|
2395 |
+
"loss": 0.0746,
|
2396 |
+
"step": 2752
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.51,
|
2400 |
+
"learning_rate": 2.7094745384459323e-05,
|
2401 |
+
"loss": 0.0752,
|
2402 |
+
"step": 2760
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 0.51,
|
2406 |
+
"learning_rate": 2.7013593020896732e-05,
|
2407 |
+
"loss": 0.0733,
|
2408 |
+
"step": 2768
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 0.51,
|
2412 |
+
"learning_rate": 2.6932440657334145e-05,
|
2413 |
+
"loss": 0.0418,
|
2414 |
+
"step": 2776
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 0.51,
|
2418 |
+
"learning_rate": 2.685128829377156e-05,
|
2419 |
+
"loss": 0.0575,
|
2420 |
+
"step": 2784
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 0.51,
|
2424 |
+
"learning_rate": 2.6770135930208966e-05,
|
2425 |
+
"loss": 0.0463,
|
2426 |
+
"step": 2792
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 0.52,
|
2430 |
+
"learning_rate": 2.668898356664638e-05,
|
2431 |
+
"loss": 0.0606,
|
2432 |
+
"step": 2800
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 0.52,
|
2436 |
+
"eval_accuracy": 0.9828711537797423,
|
2437 |
+
"eval_f1": 0.9828776581054958,
|
2438 |
+
"eval_loss": 0.052921637892723083,
|
2439 |
+
"eval_precision": 0.9859067142214065,
|
2440 |
+
"eval_recall": 0.9798671576556424,
|
2441 |
+
"eval_runtime": 324.5523,
|
2442 |
+
"eval_samples_per_second": 178.443,
|
2443 |
+
"eval_steps_per_second": 22.308,
|
2444 |
+
"step": 2800
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 0.52,
|
2448 |
+
"learning_rate": 2.6607831203083787e-05,
|
2449 |
+
"loss": 0.0665,
|
2450 |
+
"step": 2808
|
2451 |
+
},
|
2452 |
+
{
|
2453 |
+
"epoch": 0.52,
|
2454 |
+
"learning_rate": 2.6526678839521203e-05,
|
2455 |
+
"loss": 0.0533,
|
2456 |
+
"step": 2816
|
2457 |
+
},
|
2458 |
+
{
|
2459 |
+
"epoch": 0.52,
|
2460 |
+
"learning_rate": 2.6445526475958615e-05,
|
2461 |
+
"loss": 0.0706,
|
2462 |
+
"step": 2824
|
2463 |
+
},
|
2464 |
+
{
|
2465 |
+
"epoch": 0.52,
|
2466 |
+
"learning_rate": 2.6364374112396024e-05,
|
2467 |
+
"loss": 0.0729,
|
2468 |
+
"step": 2832
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 0.52,
|
2472 |
+
"learning_rate": 2.6283221748833436e-05,
|
2473 |
+
"loss": 0.0498,
|
2474 |
+
"step": 2840
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 0.52,
|
2478 |
+
"learning_rate": 2.620206938527085e-05,
|
2479 |
+
"loss": 0.0438,
|
2480 |
+
"step": 2848
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.53,
|
2484 |
+
"learning_rate": 2.6120917021708257e-05,
|
2485 |
+
"loss": 0.0599,
|
2486 |
+
"step": 2856
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 0.53,
|
2490 |
+
"learning_rate": 2.603976465814567e-05,
|
2491 |
+
"loss": 0.0413,
|
2492 |
+
"step": 2864
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"epoch": 0.53,
|
2496 |
+
"learning_rate": 2.595861229458308e-05,
|
2497 |
+
"loss": 0.0323,
|
2498 |
+
"step": 2872
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 0.53,
|
2502 |
+
"learning_rate": 2.587745993102049e-05,
|
2503 |
+
"loss": 0.0706,
|
2504 |
+
"step": 2880
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 0.53,
|
2508 |
+
"learning_rate": 2.5796307567457907e-05,
|
2509 |
+
"loss": 0.116,
|
2510 |
+
"step": 2888
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 0.53,
|
2514 |
+
"learning_rate": 2.5715155203895312e-05,
|
2515 |
+
"loss": 0.0585,
|
2516 |
+
"step": 2896
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 0.53,
|
2520 |
+
"eval_accuracy": 0.9815415961598232,
|
2521 |
+
"eval_f1": 0.9814451599465398,
|
2522 |
+
"eval_loss": 0.0516064278781414,
|
2523 |
+
"eval_precision": 0.99005462949993,
|
2524 |
+
"eval_recall": 0.9729841346319303,
|
2525 |
+
"eval_runtime": 325.834,
|
2526 |
+
"eval_samples_per_second": 177.741,
|
2527 |
+
"eval_steps_per_second": 22.22,
|
2528 |
+
"step": 2900
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 0.53,
|
2532 |
+
"learning_rate": 2.5634002840332728e-05,
|
2533 |
+
"loss": 0.0475,
|
2534 |
+
"step": 2904
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 0.54,
|
2538 |
+
"learning_rate": 2.5552850476770133e-05,
|
2539 |
+
"loss": 0.0612,
|
2540 |
+
"step": 2912
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 0.54,
|
2544 |
+
"learning_rate": 2.547169811320755e-05,
|
2545 |
+
"loss": 0.0558,
|
2546 |
+
"step": 2920
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 0.54,
|
2550 |
+
"learning_rate": 2.539054574964496e-05,
|
2551 |
+
"loss": 0.0572,
|
2552 |
+
"step": 2928
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 0.54,
|
2556 |
+
"learning_rate": 2.530939338608237e-05,
|
2557 |
+
"loss": 0.0581,
|
2558 |
+
"step": 2936
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 0.54,
|
2562 |
+
"learning_rate": 2.5228241022519783e-05,
|
2563 |
+
"loss": 0.0487,
|
2564 |
+
"step": 2944
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.54,
|
2568 |
+
"learning_rate": 2.514708865895719e-05,
|
2569 |
+
"loss": 0.0681,
|
2570 |
+
"step": 2952
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"epoch": 0.55,
|
2574 |
+
"learning_rate": 2.5065936295394604e-05,
|
2575 |
+
"loss": 0.0658,
|
2576 |
+
"step": 2960
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 0.55,
|
2580 |
+
"learning_rate": 2.4984783931832016e-05,
|
2581 |
+
"loss": 0.0769,
|
2582 |
+
"step": 2968
|
2583 |
+
},
|
2584 |
+
{
|
2585 |
+
"epoch": 0.55,
|
2586 |
+
"learning_rate": 2.490363156826943e-05,
|
2587 |
+
"loss": 0.0736,
|
2588 |
+
"step": 2976
|
2589 |
+
},
|
2590 |
+
{
|
2591 |
+
"epoch": 0.55,
|
2592 |
+
"learning_rate": 2.4822479204706837e-05,
|
2593 |
+
"loss": 0.0446,
|
2594 |
+
"step": 2984
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 0.55,
|
2598 |
+
"learning_rate": 2.474132684114425e-05,
|
2599 |
+
"loss": 0.0472,
|
2600 |
+
"step": 2992
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 0.55,
|
2604 |
+
"learning_rate": 2.466017447758166e-05,
|
2605 |
+
"loss": 0.058,
|
2606 |
+
"step": 3000
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.55,
|
2610 |
+
"eval_accuracy": 0.9817142659805919,
|
2611 |
+
"eval_f1": 0.981694352733747,
|
2612 |
+
"eval_loss": 0.061614930629730225,
|
2613 |
+
"eval_precision": 0.9861776759047024,
|
2614 |
+
"eval_recall": 0.9772516089066318,
|
2615 |
+
"eval_runtime": 317.9761,
|
2616 |
+
"eval_samples_per_second": 182.133,
|
2617 |
+
"eval_steps_per_second": 22.769,
|
2618 |
+
"step": 3000
|
2619 |
+
},
|
2620 |
+
{
|
2621 |
+
"epoch": 0.55,
|
2622 |
+
"learning_rate": 2.457902211401907e-05,
|
2623 |
+
"loss": 0.0432,
|
2624 |
+
"step": 3008
|
2625 |
+
},
|
2626 |
+
{
|
2627 |
+
"epoch": 0.56,
|
2628 |
+
"learning_rate": 2.4497869750456483e-05,
|
2629 |
+
"loss": 0.0392,
|
2630 |
+
"step": 3016
|
2631 |
+
},
|
2632 |
+
{
|
2633 |
+
"epoch": 0.56,
|
2634 |
+
"learning_rate": 2.4416717386893896e-05,
|
2635 |
+
"loss": 0.0581,
|
2636 |
+
"step": 3024
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 0.56,
|
2640 |
+
"learning_rate": 2.4335565023331305e-05,
|
2641 |
+
"loss": 0.0642,
|
2642 |
+
"step": 3032
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 0.56,
|
2646 |
+
"learning_rate": 2.4254412659768717e-05,
|
2647 |
+
"loss": 0.039,
|
2648 |
+
"step": 3040
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.56,
|
2652 |
+
"learning_rate": 2.417326029620613e-05,
|
2653 |
+
"loss": 0.0361,
|
2654 |
+
"step": 3048
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 0.56,
|
2658 |
+
"learning_rate": 2.409210793264354e-05,
|
2659 |
+
"loss": 0.0591,
|
2660 |
+
"step": 3056
|
2661 |
+
},
|
2662 |
+
{
|
2663 |
+
"epoch": 0.56,
|
2664 |
+
"learning_rate": 2.401095556908095e-05,
|
2665 |
+
"loss": 0.0819,
|
2666 |
+
"step": 3064
|
2667 |
+
},
|
2668 |
+
{
|
2669 |
+
"epoch": 0.57,
|
2670 |
+
"learning_rate": 2.3929803205518363e-05,
|
2671 |
+
"loss": 0.1084,
|
2672 |
+
"step": 3072
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 0.57,
|
2676 |
+
"learning_rate": 2.384865084195577e-05,
|
2677 |
+
"loss": 0.0425,
|
2678 |
+
"step": 3080
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 0.57,
|
2682 |
+
"learning_rate": 2.3767498478393184e-05,
|
2683 |
+
"loss": 0.0711,
|
2684 |
+
"step": 3088
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 0.57,
|
2688 |
+
"learning_rate": 2.3686346114830596e-05,
|
2689 |
+
"loss": 0.0449,
|
2690 |
+
"step": 3096
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.57,
|
2694 |
+
"eval_accuracy": 0.9834064302241254,
|
2695 |
+
"eval_f1": 0.9835052608091176,
|
2696 |
+
"eval_loss": 0.04805440455675125,
|
2697 |
+
"eval_precision": 0.9810299958909738,
|
2698 |
+
"eval_recall": 0.985993048146746,
|
2699 |
+
"eval_runtime": 326.0918,
|
2700 |
+
"eval_samples_per_second": 177.6,
|
2701 |
+
"eval_steps_per_second": 22.202,
|
2702 |
+
"step": 3100
|
2703 |
+
},
|
2704 |
+
{
|
2705 |
+
"epoch": 0.57,
|
2706 |
+
"learning_rate": 2.3605193751268005e-05,
|
2707 |
+
"loss": 0.0558,
|
2708 |
+
"step": 3104
|
2709 |
+
},
|
2710 |
+
{
|
2711 |
+
"epoch": 0.57,
|
2712 |
+
"learning_rate": 2.3524041387705417e-05,
|
2713 |
+
"loss": 0.0629,
|
2714 |
+
"step": 3112
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 0.57,
|
2718 |
+
"learning_rate": 2.344288902414283e-05,
|
2719 |
+
"loss": 0.0392,
|
2720 |
+
"step": 3120
|
2721 |
+
},
|
2722 |
+
{
|
2723 |
+
"epoch": 0.58,
|
2724 |
+
"learning_rate": 2.3361736660580242e-05,
|
2725 |
+
"loss": 0.0564,
|
2726 |
+
"step": 3128
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 0.58,
|
2730 |
+
"learning_rate": 2.328058429701765e-05,
|
2731 |
+
"loss": 0.0418,
|
2732 |
+
"step": 3136
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.58,
|
2736 |
+
"learning_rate": 2.3199431933455063e-05,
|
2737 |
+
"loss": 0.059,
|
2738 |
+
"step": 3144
|
2739 |
+
},
|
2740 |
+
{
|
2741 |
+
"epoch": 0.58,
|
2742 |
+
"learning_rate": 2.3118279569892472e-05,
|
2743 |
+
"loss": 0.0511,
|
2744 |
+
"step": 3152
|
2745 |
+
},
|
2746 |
+
{
|
2747 |
+
"epoch": 0.58,
|
2748 |
+
"learning_rate": 2.3037127206329888e-05,
|
2749 |
+
"loss": 0.0383,
|
2750 |
+
"step": 3160
|
2751 |
+
},
|
2752 |
+
{
|
2753 |
+
"epoch": 0.58,
|
2754 |
+
"learning_rate": 2.2955974842767297e-05,
|
2755 |
+
"loss": 0.0831,
|
2756 |
+
"step": 3168
|
2757 |
+
},
|
2758 |
+
{
|
2759 |
+
"epoch": 0.58,
|
2760 |
+
"learning_rate": 2.287482247920471e-05,
|
2761 |
+
"loss": 0.0407,
|
2762 |
+
"step": 3176
|
2763 |
+
},
|
2764 |
+
{
|
2765 |
+
"epoch": 0.59,
|
2766 |
+
"learning_rate": 2.2793670115642118e-05,
|
2767 |
+
"loss": 0.0354,
|
2768 |
+
"step": 3184
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 0.59,
|
2772 |
+
"learning_rate": 2.271251775207953e-05,
|
2773 |
+
"loss": 0.0524,
|
2774 |
+
"step": 3192
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.59,
|
2778 |
+
"learning_rate": 2.2631365388516943e-05,
|
2779 |
+
"loss": 0.0257,
|
2780 |
+
"step": 3200
|
2781 |
+
},
|
2782 |
+
{
|
2783 |
+
"epoch": 0.59,
|
2784 |
+
"eval_accuracy": 0.9817315329626688,
|
2785 |
+
"eval_f1": 0.9816478751084129,
|
2786 |
+
"eval_loss": 0.06091897934675217,
|
2787 |
+
"eval_precision": 0.9896128423040604,
|
2788 |
+
"eval_recall": 0.9738100973947758,
|
2789 |
+
"eval_runtime": 313.118,
|
2790 |
+
"eval_samples_per_second": 184.959,
|
2791 |
+
"eval_steps_per_second": 23.122,
|
2792 |
+
"step": 3200
|
2793 |
+
},
|
2794 |
+
{
|
2795 |
+
"epoch": 0.59,
|
2796 |
+
"learning_rate": 2.255021302495435e-05,
|
2797 |
+
"loss": 0.0473,
|
2798 |
+
"step": 3208
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 0.59,
|
2802 |
+
"learning_rate": 2.2469060661391764e-05,
|
2803 |
+
"loss": 0.0779,
|
2804 |
+
"step": 3216
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 0.59,
|
2808 |
+
"learning_rate": 2.2387908297829173e-05,
|
2809 |
+
"loss": 0.0436,
|
2810 |
+
"step": 3224
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 0.6,
|
2814 |
+
"learning_rate": 2.230675593426659e-05,
|
2815 |
+
"loss": 0.0541,
|
2816 |
+
"step": 3232
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.6,
|
2820 |
+
"learning_rate": 2.2225603570703997e-05,
|
2821 |
+
"loss": 0.0576,
|
2822 |
+
"step": 3240
|
2823 |
+
},
|
2824 |
+
{
|
2825 |
+
"epoch": 0.6,
|
2826 |
+
"learning_rate": 2.214445120714141e-05,
|
2827 |
+
"loss": 0.0649,
|
2828 |
+
"step": 3248
|
2829 |
+
},
|
2830 |
+
{
|
2831 |
+
"epoch": 0.6,
|
2832 |
+
"learning_rate": 2.206329884357882e-05,
|
2833 |
+
"loss": 0.0404,
|
2834 |
+
"step": 3256
|
2835 |
+
},
|
2836 |
+
{
|
2837 |
+
"epoch": 0.6,
|
2838 |
+
"learning_rate": 2.198214648001623e-05,
|
2839 |
+
"loss": 0.0351,
|
2840 |
+
"step": 3264
|
2841 |
+
},
|
2842 |
+
{
|
2843 |
+
"epoch": 0.6,
|
2844 |
+
"learning_rate": 2.1900994116453643e-05,
|
2845 |
+
"loss": 0.0364,
|
2846 |
+
"step": 3272
|
2847 |
+
},
|
2848 |
+
{
|
2849 |
+
"epoch": 0.6,
|
2850 |
+
"learning_rate": 2.1819841752891055e-05,
|
2851 |
+
"loss": 0.0483,
|
2852 |
+
"step": 3280
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 0.61,
|
2856 |
+
"learning_rate": 2.1738689389328464e-05,
|
2857 |
+
"loss": 0.0562,
|
2858 |
+
"step": 3288
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.61,
|
2862 |
+
"learning_rate": 2.1657537025765877e-05,
|
2863 |
+
"loss": 0.0627,
|
2864 |
+
"step": 3296
|
2865 |
+
},
|
2866 |
+
{
|
2867 |
+
"epoch": 0.61,
|
2868 |
+
"eval_accuracy": 0.9826121490485893,
|
2869 |
+
"eval_f1": 0.9827441438045136,
|
2870 |
+
"eval_loss": 0.04961591958999634,
|
2871 |
+
"eval_precision": 0.9786689419795221,
|
2872 |
+
"eval_recall": 0.98685342602471,
|
2873 |
+
"eval_runtime": 320.6595,
|
2874 |
+
"eval_samples_per_second": 180.609,
|
2875 |
+
"eval_steps_per_second": 22.578,
|
2876 |
+
"step": 3300
|
2877 |
+
},
|
2878 |
+
{
|
2879 |
+
"epoch": 0.61,
|
2880 |
+
"learning_rate": 2.157638466220329e-05,
|
2881 |
+
"loss": 0.0339,
|
2882 |
+
"step": 3304
|
2883 |
+
},
|
2884 |
+
{
|
2885 |
+
"epoch": 0.61,
|
2886 |
+
"learning_rate": 2.1495232298640698e-05,
|
2887 |
+
"loss": 0.0618,
|
2888 |
+
"step": 3312
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 0.61,
|
2892 |
+
"learning_rate": 2.141407993507811e-05,
|
2893 |
+
"loss": 0.074,
|
2894 |
+
"step": 3320
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 0.61,
|
2898 |
+
"learning_rate": 2.133292757151552e-05,
|
2899 |
+
"loss": 0.0781,
|
2900 |
+
"step": 3328
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.61,
|
2904 |
+
"learning_rate": 2.125177520795293e-05,
|
2905 |
+
"loss": 0.059,
|
2906 |
+
"step": 3336
|
2907 |
+
},
|
2908 |
+
{
|
2909 |
+
"epoch": 0.62,
|
2910 |
+
"learning_rate": 2.1170622844390344e-05,
|
2911 |
+
"loss": 0.0411,
|
2912 |
+
"step": 3344
|
2913 |
+
},
|
2914 |
+
{
|
2915 |
+
"epoch": 0.62,
|
2916 |
+
"learning_rate": 2.1089470480827756e-05,
|
2917 |
+
"loss": 0.0604,
|
2918 |
+
"step": 3352
|
2919 |
+
},
|
2920 |
+
{
|
2921 |
+
"epoch": 0.62,
|
2922 |
+
"learning_rate": 2.1008318117265165e-05,
|
2923 |
+
"loss": 0.0602,
|
2924 |
+
"step": 3360
|
2925 |
+
},
|
2926 |
+
{
|
2927 |
+
"epoch": 0.62,
|
2928 |
+
"learning_rate": 2.0927165753702577e-05,
|
2929 |
+
"loss": 0.035,
|
2930 |
+
"step": 3368
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 0.62,
|
2934 |
+
"learning_rate": 2.084601339013999e-05,
|
2935 |
+
"loss": 0.0545,
|
2936 |
+
"step": 3376
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 0.62,
|
2940 |
+
"learning_rate": 2.0764861026577402e-05,
|
2941 |
+
"loss": 0.05,
|
2942 |
+
"step": 3384
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.62,
|
2946 |
+
"learning_rate": 2.068370866301481e-05,
|
2947 |
+
"loss": 0.0676,
|
2948 |
+
"step": 3392
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 0.63,
|
2952 |
+
"learning_rate": 2.0602556299452223e-05,
|
2953 |
+
"loss": 0.0501,
|
2954 |
+
"step": 3400
|
2955 |
+
},
|
2956 |
+
{
|
2957 |
+
"epoch": 0.63,
|
2958 |
+
"eval_accuracy": 0.9837863038298166,
|
2959 |
+
"eval_f1": 0.9838000103514312,
|
2960 |
+
"eval_loss": 0.04516952857375145,
|
2961 |
+
"eval_precision": 0.9863696118452916,
|
2962 |
+
"eval_recall": 0.9812437622603848,
|
2963 |
+
"eval_runtime": 311.4407,
|
2964 |
+
"eval_samples_per_second": 185.955,
|
2965 |
+
"eval_steps_per_second": 23.247,
|
2966 |
+
"step": 3400
|
2967 |
+
}
|
2968 |
+
],
|
2969 |
+
"max_steps": 5429,
|
2970 |
+
"num_train_epochs": 1,
|
2971 |
+
"total_flos": 5.7252965646336e+16,
|
2972 |
+
"trial_name": null,
|
2973 |
+
"trial_params": null
|
2974 |
+
}
|