Upload trainer_state.json with huggingface_hub
Browse files- trainer_state.json +2233 -0
trainer_state.json
ADDED
@@ -0,0 +1,2233 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 4.996815286624204,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3138,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01592356687898089,
|
13 |
+
"grad_norm": 5.4758992195129395,
|
14 |
+
"learning_rate": 1.2738853503184714e-05,
|
15 |
+
"loss": 0.9116,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.03184713375796178,
|
20 |
+
"grad_norm": 4.248476028442383,
|
21 |
+
"learning_rate": 2.5477707006369428e-05,
|
22 |
+
"loss": 0.5347,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.04777070063694268,
|
27 |
+
"grad_norm": 2.722592830657959,
|
28 |
+
"learning_rate": 3.821656050955414e-05,
|
29 |
+
"loss": 0.3604,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.06369426751592357,
|
34 |
+
"grad_norm": 1.718458890914917,
|
35 |
+
"learning_rate": 5.0955414012738855e-05,
|
36 |
+
"loss": 0.2924,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.07961783439490445,
|
41 |
+
"grad_norm": 2.0852134227752686,
|
42 |
+
"learning_rate": 6.369426751592356e-05,
|
43 |
+
"loss": 0.2293,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.09554140127388536,
|
48 |
+
"grad_norm": 2.2306277751922607,
|
49 |
+
"learning_rate": 7.643312101910829e-05,
|
50 |
+
"loss": 0.2296,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.11146496815286625,
|
55 |
+
"grad_norm": 1.173863172531128,
|
56 |
+
"learning_rate": 8.9171974522293e-05,
|
57 |
+
"loss": 0.1754,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.12738853503184713,
|
62 |
+
"grad_norm": 1.4193692207336426,
|
63 |
+
"learning_rate": 0.00010191082802547771,
|
64 |
+
"loss": 0.1821,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.14331210191082802,
|
69 |
+
"grad_norm": 1.5220022201538086,
|
70 |
+
"learning_rate": 0.00011464968152866242,
|
71 |
+
"loss": 0.1634,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1592356687898089,
|
76 |
+
"grad_norm": 1.3423898220062256,
|
77 |
+
"learning_rate": 0.00012738853503184712,
|
78 |
+
"loss": 0.1462,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1751592356687898,
|
83 |
+
"grad_norm": 1.2148971557617188,
|
84 |
+
"learning_rate": 0.00014012738853503185,
|
85 |
+
"loss": 0.1386,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.1910828025477707,
|
90 |
+
"grad_norm": 0.9744131565093994,
|
91 |
+
"learning_rate": 0.00015286624203821657,
|
92 |
+
"loss": 0.1376,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.2070063694267516,
|
97 |
+
"grad_norm": 1.014123558998108,
|
98 |
+
"learning_rate": 0.0001656050955414013,
|
99 |
+
"loss": 0.1082,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.2229299363057325,
|
104 |
+
"grad_norm": 1.3054927587509155,
|
105 |
+
"learning_rate": 0.000178343949044586,
|
106 |
+
"loss": 0.1054,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.23885350318471338,
|
111 |
+
"grad_norm": 1.789557695388794,
|
112 |
+
"learning_rate": 0.00019108280254777072,
|
113 |
+
"loss": 0.1308,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.25477707006369427,
|
118 |
+
"grad_norm": 0.6913818717002869,
|
119 |
+
"learning_rate": 0.00019999950020955923,
|
120 |
+
"loss": 0.1197,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.27070063694267515,
|
125 |
+
"grad_norm": 0.9011440277099609,
|
126 |
+
"learning_rate": 0.00019999061518514538,
|
127 |
+
"loss": 0.0938,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.28662420382165604,
|
132 |
+
"grad_norm": 1.6200815439224243,
|
133 |
+
"learning_rate": 0.00019997062484234648,
|
134 |
+
"loss": 0.108,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.30254777070063693,
|
139 |
+
"grad_norm": 0.8650676608085632,
|
140 |
+
"learning_rate": 0.0001999395314013622,
|
141 |
+
"loss": 0.105,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.3184713375796178,
|
146 |
+
"grad_norm": 1.1472347974777222,
|
147 |
+
"learning_rate": 0.00019989733831554218,
|
148 |
+
"loss": 0.1219,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3343949044585987,
|
153 |
+
"grad_norm": 1.0066096782684326,
|
154 |
+
"learning_rate": 0.00019984405027100277,
|
155 |
+
"loss": 0.0927,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.3503184713375796,
|
160 |
+
"grad_norm": 1.0204339027404785,
|
161 |
+
"learning_rate": 0.00019977967318610639,
|
162 |
+
"loss": 0.1119,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.3662420382165605,
|
167 |
+
"grad_norm": 1.074305534362793,
|
168 |
+
"learning_rate": 0.00019970421421080427,
|
169 |
+
"loss": 0.0903,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3821656050955414,
|
174 |
+
"grad_norm": 0.9550490379333496,
|
175 |
+
"learning_rate": 0.0001996176817258424,
|
176 |
+
"loss": 0.091,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.3980891719745223,
|
181 |
+
"grad_norm": 1.0449860095977783,
|
182 |
+
"learning_rate": 0.0001995200853418307,
|
183 |
+
"loss": 0.0861,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.4140127388535032,
|
188 |
+
"grad_norm": 0.9337477684020996,
|
189 |
+
"learning_rate": 0.00019941143589817558,
|
190 |
+
"loss": 0.0907,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.4299363057324841,
|
195 |
+
"grad_norm": 0.7787328958511353,
|
196 |
+
"learning_rate": 0.00019929174546187616,
|
197 |
+
"loss": 0.0816,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.445859872611465,
|
202 |
+
"grad_norm": 0.5837294459342957,
|
203 |
+
"learning_rate": 0.000199161027326184,
|
204 |
+
"loss": 0.085,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.46178343949044587,
|
209 |
+
"grad_norm": 0.6995041370391846,
|
210 |
+
"learning_rate": 0.00019901929600912678,
|
211 |
+
"loss": 0.0767,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.47770700636942676,
|
216 |
+
"grad_norm": 0.9348034262657166,
|
217 |
+
"learning_rate": 0.00019886656725189575,
|
218 |
+
"loss": 0.08,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.49363057324840764,
|
223 |
+
"grad_norm": 0.458731085062027,
|
224 |
+
"learning_rate": 0.0001987028580170976,
|
225 |
+
"loss": 0.0819,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.5095541401273885,
|
230 |
+
"grad_norm": 0.5243947505950928,
|
231 |
+
"learning_rate": 0.00019852818648687044,
|
232 |
+
"loss": 0.078,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.5254777070063694,
|
237 |
+
"grad_norm": 0.6848501563072205,
|
238 |
+
"learning_rate": 0.00019834257206086442,
|
239 |
+
"loss": 0.0891,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.5414012738853503,
|
244 |
+
"grad_norm": 0.9554067254066467,
|
245 |
+
"learning_rate": 0.00019814603535408724,
|
246 |
+
"loss": 0.0759,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.5573248407643312,
|
251 |
+
"grad_norm": 0.49273306131362915,
|
252 |
+
"learning_rate": 0.0001979385981946144,
|
253 |
+
"loss": 0.0744,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5732484076433121,
|
258 |
+
"grad_norm": 0.7968289852142334,
|
259 |
+
"learning_rate": 0.00019772028362116513,
|
260 |
+
"loss": 0.0674,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.589171974522293,
|
265 |
+
"grad_norm": 0.5523058176040649,
|
266 |
+
"learning_rate": 0.00019749111588054333,
|
267 |
+
"loss": 0.078,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.6050955414012739,
|
272 |
+
"grad_norm": 0.7879081964492798,
|
273 |
+
"learning_rate": 0.00019725112042494493,
|
274 |
+
"loss": 0.0727,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.6210191082802548,
|
279 |
+
"grad_norm": 0.897438645362854,
|
280 |
+
"learning_rate": 0.00019700032390913087,
|
281 |
+
"loss": 0.0882,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.6369426751592356,
|
286 |
+
"grad_norm": 0.40805375576019287,
|
287 |
+
"learning_rate": 0.00019673875418746678,
|
288 |
+
"loss": 0.0687,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.6528662420382165,
|
293 |
+
"grad_norm": 0.8794530034065247,
|
294 |
+
"learning_rate": 0.00019646644031082948,
|
295 |
+
"loss": 0.0745,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6687898089171974,
|
300 |
+
"grad_norm": 0.671391487121582,
|
301 |
+
"learning_rate": 0.00019618341252338026,
|
302 |
+
"loss": 0.0773,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.6847133757961783,
|
307 |
+
"grad_norm": 0.7118439078330994,
|
308 |
+
"learning_rate": 0.00019588970225920612,
|
309 |
+
"loss": 0.0646,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.7006369426751592,
|
314 |
+
"grad_norm": 0.8737181425094604,
|
315 |
+
"learning_rate": 0.00019558534213882838,
|
316 |
+
"loss": 0.0667,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.7165605095541401,
|
321 |
+
"grad_norm": 0.9923394322395325,
|
322 |
+
"learning_rate": 0.00019527036596557983,
|
323 |
+
"loss": 0.0699,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.732484076433121,
|
328 |
+
"grad_norm": 0.8922154307365417,
|
329 |
+
"learning_rate": 0.0001949448087218504,
|
330 |
+
"loss": 0.062,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.7484076433121019,
|
335 |
+
"grad_norm": 0.6825265884399414,
|
336 |
+
"learning_rate": 0.0001946087065652018,
|
337 |
+
"loss": 0.0672,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.7643312101910829,
|
342 |
+
"grad_norm": 0.6685843467712402,
|
343 |
+
"learning_rate": 0.0001942620968243519,
|
344 |
+
"loss": 0.057,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.7802547770700637,
|
349 |
+
"grad_norm": 0.5671578049659729,
|
350 |
+
"learning_rate": 0.00019390501799502872,
|
351 |
+
"loss": 0.0543,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.7961783439490446,
|
356 |
+
"grad_norm": 0.5407360196113586,
|
357 |
+
"learning_rate": 0.00019353750973569498,
|
358 |
+
"loss": 0.0526,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.8121019108280255,
|
363 |
+
"grad_norm": 0.45758092403411865,
|
364 |
+
"learning_rate": 0.0001931596128631436,
|
365 |
+
"loss": 0.0523,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.8280254777070064,
|
370 |
+
"grad_norm": 0.5699948668479919,
|
371 |
+
"learning_rate": 0.0001927713693479643,
|
372 |
+
"loss": 0.0508,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.8439490445859873,
|
377 |
+
"grad_norm": 0.6552209258079529,
|
378 |
+
"learning_rate": 0.00019237282230988222,
|
379 |
+
"loss": 0.0736,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.8598726114649682,
|
384 |
+
"grad_norm": 0.6645591855049133,
|
385 |
+
"learning_rate": 0.00019196401601296898,
|
386 |
+
"loss": 0.067,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.8757961783439491,
|
391 |
+
"grad_norm": 0.5558132529258728,
|
392 |
+
"learning_rate": 0.00019154499586072646,
|
393 |
+
"loss": 0.0562,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.89171974522293,
|
398 |
+
"grad_norm": 0.42415371537208557,
|
399 |
+
"learning_rate": 0.00019111580839104418,
|
400 |
+
"loss": 0.064,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.9076433121019108,
|
405 |
+
"grad_norm": 0.6379917860031128,
|
406 |
+
"learning_rate": 0.00019067650127103055,
|
407 |
+
"loss": 0.0628,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.9235668789808917,
|
412 |
+
"grad_norm": 0.603799045085907,
|
413 |
+
"learning_rate": 0.0001902271232917189,
|
414 |
+
"loss": 0.0668,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.9394904458598726,
|
419 |
+
"grad_norm": 0.569402813911438,
|
420 |
+
"learning_rate": 0.0001897677243626485,
|
421 |
+
"loss": 0.0613,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.9554140127388535,
|
426 |
+
"grad_norm": 0.7091385722160339,
|
427 |
+
"learning_rate": 0.00018929835550632145,
|
428 |
+
"loss": 0.0665,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.9713375796178344,
|
433 |
+
"grad_norm": 0.5904159545898438,
|
434 |
+
"learning_rate": 0.00018881906885253593,
|
435 |
+
"loss": 0.0766,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.9872611464968153,
|
440 |
+
"grad_norm": 0.6689817905426025,
|
441 |
+
"learning_rate": 0.00018832991763259647,
|
442 |
+
"loss": 0.065,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.0031847133757963,
|
447 |
+
"grad_norm": 0.7255253791809082,
|
448 |
+
"learning_rate": 0.00018783095617340193,
|
449 |
+
"loss": 0.053,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.019108280254777,
|
454 |
+
"grad_norm": 0.41102227568626404,
|
455 |
+
"learning_rate": 0.0001873222398914117,
|
456 |
+
"loss": 0.0584,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.035031847133758,
|
461 |
+
"grad_norm": 0.5301253199577332,
|
462 |
+
"learning_rate": 0.00018680382528649093,
|
463 |
+
"loss": 0.0619,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.0509554140127388,
|
468 |
+
"grad_norm": 0.5525597929954529,
|
469 |
+
"learning_rate": 0.00018627576993563563,
|
470 |
+
"loss": 0.0556,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.0668789808917198,
|
475 |
+
"grad_norm": 0.5564507246017456,
|
476 |
+
"learning_rate": 0.0001857381324865777,
|
477 |
+
"loss": 0.0428,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.0828025477707006,
|
482 |
+
"grad_norm": 0.5977344512939453,
|
483 |
+
"learning_rate": 0.0001851909726512714,
|
484 |
+
"loss": 0.0576,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.0987261146496816,
|
489 |
+
"grad_norm": 0.49446621537208557,
|
490 |
+
"learning_rate": 0.00018463435119926176,
|
491 |
+
"loss": 0.0527,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.1146496815286624,
|
496 |
+
"grad_norm": 0.4952321946620941,
|
497 |
+
"learning_rate": 0.00018406832995093486,
|
498 |
+
"loss": 0.0472,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 1.1305732484076434,
|
503 |
+
"grad_norm": 0.40190061926841736,
|
504 |
+
"learning_rate": 0.0001834929717706522,
|
505 |
+
"loss": 0.0557,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.1464968152866242,
|
510 |
+
"grad_norm": 0.44065698981285095,
|
511 |
+
"learning_rate": 0.00018290834055976855,
|
512 |
+
"loss": 0.0473,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.1624203821656052,
|
517 |
+
"grad_norm": 0.5594244003295898,
|
518 |
+
"learning_rate": 0.00018231450124953495,
|
519 |
+
"loss": 0.0588,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.178343949044586,
|
524 |
+
"grad_norm": 0.49133527278900146,
|
525 |
+
"learning_rate": 0.00018171151979388714,
|
526 |
+
"loss": 0.0497,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.194267515923567,
|
531 |
+
"grad_norm": 0.5907294750213623,
|
532 |
+
"learning_rate": 0.00018109946316212052,
|
533 |
+
"loss": 0.0525,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.2101910828025477,
|
538 |
+
"grad_norm": 0.5373413562774658,
|
539 |
+
"learning_rate": 0.00018047839933145232,
|
540 |
+
"loss": 0.0553,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.2261146496815287,
|
545 |
+
"grad_norm": 0.5720402598381042,
|
546 |
+
"learning_rate": 0.00017984839727947164,
|
547 |
+
"loss": 0.0505,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.2420382165605095,
|
552 |
+
"grad_norm": 0.3708595037460327,
|
553 |
+
"learning_rate": 0.00017920952697647886,
|
554 |
+
"loss": 0.0544,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.2579617834394905,
|
559 |
+
"grad_norm": 0.48515430092811584,
|
560 |
+
"learning_rate": 0.00017856185937771416,
|
561 |
+
"loss": 0.041,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.2738853503184713,
|
566 |
+
"grad_norm": 0.6001298427581787,
|
567 |
+
"learning_rate": 0.00017790546641547722,
|
568 |
+
"loss": 0.0478,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.2898089171974523,
|
573 |
+
"grad_norm": 0.4815957844257355,
|
574 |
+
"learning_rate": 0.00017724042099113792,
|
575 |
+
"loss": 0.0439,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.305732484076433,
|
580 |
+
"grad_norm": 0.6788195371627808,
|
581 |
+
"learning_rate": 0.00017656679696703996,
|
582 |
+
"loss": 0.0573,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 1.321656050955414,
|
587 |
+
"grad_norm": 0.3975256383419037,
|
588 |
+
"learning_rate": 0.0001758846691582972,
|
589 |
+
"loss": 0.0472,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.3375796178343948,
|
594 |
+
"grad_norm": 0.4403384327888489,
|
595 |
+
"learning_rate": 0.00017519411332448444,
|
596 |
+
"loss": 0.0445,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 1.3535031847133758,
|
601 |
+
"grad_norm": 0.39884060621261597,
|
602 |
+
"learning_rate": 0.00017449520616122344,
|
603 |
+
"loss": 0.0473,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.3694267515923566,
|
608 |
+
"grad_norm": 0.41912099719047546,
|
609 |
+
"learning_rate": 0.00017378802529166462,
|
610 |
+
"loss": 0.0529,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.3853503184713376,
|
615 |
+
"grad_norm": 0.43497881293296814,
|
616 |
+
"learning_rate": 0.00017307264925786622,
|
617 |
+
"loss": 0.0462,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.4012738853503186,
|
622 |
+
"grad_norm": 0.6406415700912476,
|
623 |
+
"learning_rate": 0.0001723491575120708,
|
624 |
+
"loss": 0.0515,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 1.4171974522292994,
|
629 |
+
"grad_norm": 0.5098315477371216,
|
630 |
+
"learning_rate": 0.0001716176304078813,
|
631 |
+
"loss": 0.0537,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.4331210191082802,
|
636 |
+
"grad_norm": 0.39417779445648193,
|
637 |
+
"learning_rate": 0.0001708781491913365,
|
638 |
+
"loss": 0.0462,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 1.4490445859872612,
|
643 |
+
"grad_norm": 0.31453198194503784,
|
644 |
+
"learning_rate": 0.00017013079599188758,
|
645 |
+
"loss": 0.0496,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.4649681528662422,
|
650 |
+
"grad_norm": 0.467495322227478,
|
651 |
+
"learning_rate": 0.00016937565381327661,
|
652 |
+
"loss": 0.0518,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.480891719745223,
|
657 |
+
"grad_norm": 0.5229964256286621,
|
658 |
+
"learning_rate": 0.00016861280652431758,
|
659 |
+
"loss": 0.0588,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.4968152866242037,
|
664 |
+
"grad_norm": 0.5483565926551819,
|
665 |
+
"learning_rate": 0.00016784233884958212,
|
666 |
+
"loss": 0.0454,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 1.5127388535031847,
|
671 |
+
"grad_norm": 0.6096242070198059,
|
672 |
+
"learning_rate": 0.00016706433635998912,
|
673 |
+
"loss": 0.0458,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.5286624203821657,
|
678 |
+
"grad_norm": 0.34970104694366455,
|
679 |
+
"learning_rate": 0.00016627888546330138,
|
680 |
+
"loss": 0.0498,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.5445859872611465,
|
685 |
+
"grad_norm": 0.691208004951477,
|
686 |
+
"learning_rate": 0.00016548607339452853,
|
687 |
+
"loss": 0.0446,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 1.5605095541401273,
|
692 |
+
"grad_norm": 0.32399702072143555,
|
693 |
+
"learning_rate": 0.00016468598820623855,
|
694 |
+
"loss": 0.0452,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.5764331210191083,
|
699 |
+
"grad_norm": 0.36962831020355225,
|
700 |
+
"learning_rate": 0.0001638787187587784,
|
701 |
+
"loss": 0.0415,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.5923566878980893,
|
706 |
+
"grad_norm": 0.45716020464897156,
|
707 |
+
"learning_rate": 0.0001630643547104047,
|
708 |
+
"loss": 0.0439,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 1.60828025477707,
|
713 |
+
"grad_norm": 0.3454309403896332,
|
714 |
+
"learning_rate": 0.00016224298650732597,
|
715 |
+
"loss": 0.0532,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.6242038216560508,
|
720 |
+
"grad_norm": 0.6210212707519531,
|
721 |
+
"learning_rate": 0.00016141470537365754,
|
722 |
+
"loss": 0.0414,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.6401273885350318,
|
727 |
+
"grad_norm": 0.3841806650161743,
|
728 |
+
"learning_rate": 0.00016057960330128973,
|
729 |
+
"loss": 0.0484,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 1.6560509554140128,
|
734 |
+
"grad_norm": 0.3426171839237213,
|
735 |
+
"learning_rate": 0.0001597377730396708,
|
736 |
+
"loss": 0.0423,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 1.6719745222929936,
|
741 |
+
"grad_norm": 0.33869680762290955,
|
742 |
+
"learning_rate": 0.0001588893080855061,
|
743 |
+
"loss": 0.0436,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 1.6878980891719744,
|
748 |
+
"grad_norm": 0.40435710549354553,
|
749 |
+
"learning_rate": 0.00015803430267237383,
|
750 |
+
"loss": 0.0517,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 1.7038216560509554,
|
755 |
+
"grad_norm": 0.25334039330482483,
|
756 |
+
"learning_rate": 0.00015717285176025913,
|
757 |
+
"loss": 0.0339,
|
758 |
+
"step": 1070
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.7197452229299364,
|
762 |
+
"grad_norm": 0.40064361691474915,
|
763 |
+
"learning_rate": 0.00015630505102500754,
|
764 |
+
"loss": 0.0472,
|
765 |
+
"step": 1080
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 1.7356687898089171,
|
769 |
+
"grad_norm": 0.5399286150932312,
|
770 |
+
"learning_rate": 0.0001554309968476988,
|
771 |
+
"loss": 0.0448,
|
772 |
+
"step": 1090
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 1.7515923566878981,
|
776 |
+
"grad_norm": 0.36550888419151306,
|
777 |
+
"learning_rate": 0.0001545507863039426,
|
778 |
+
"loss": 0.0348,
|
779 |
+
"step": 1100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.767515923566879,
|
783 |
+
"grad_norm": 0.5114671587944031,
|
784 |
+
"learning_rate": 0.00015366451715309674,
|
785 |
+
"loss": 0.0409,
|
786 |
+
"step": 1110
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 1.78343949044586,
|
790 |
+
"grad_norm": 0.4588598608970642,
|
791 |
+
"learning_rate": 0.00015277228782740988,
|
792 |
+
"loss": 0.0394,
|
793 |
+
"step": 1120
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 1.799363057324841,
|
797 |
+
"grad_norm": 0.35981065034866333,
|
798 |
+
"learning_rate": 0.0001518741974210892,
|
799 |
+
"loss": 0.0412,
|
800 |
+
"step": 1130
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.8152866242038217,
|
804 |
+
"grad_norm": 0.39596328139305115,
|
805 |
+
"learning_rate": 0.00015097034567929457,
|
806 |
+
"loss": 0.0369,
|
807 |
+
"step": 1140
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.8312101910828025,
|
811 |
+
"grad_norm": 0.45480477809906006,
|
812 |
+
"learning_rate": 0.0001500608329870606,
|
813 |
+
"loss": 0.0439,
|
814 |
+
"step": 1150
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 1.8471337579617835,
|
818 |
+
"grad_norm": 0.28407368063926697,
|
819 |
+
"learning_rate": 0.00014914576035814748,
|
820 |
+
"loss": 0.0483,
|
821 |
+
"step": 1160
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.8630573248407645,
|
825 |
+
"grad_norm": 0.4121032953262329,
|
826 |
+
"learning_rate": 0.000148225229423822,
|
827 |
+
"loss": 0.0488,
|
828 |
+
"step": 1170
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 1.8789808917197452,
|
832 |
+
"grad_norm": 0.44136524200439453,
|
833 |
+
"learning_rate": 0.00014729934242157004,
|
834 |
+
"loss": 0.0434,
|
835 |
+
"step": 1180
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 1.894904458598726,
|
839 |
+
"grad_norm": 0.43993085622787476,
|
840 |
+
"learning_rate": 0.00014636820218374177,
|
841 |
+
"loss": 0.0457,
|
842 |
+
"step": 1190
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.910828025477707,
|
846 |
+
"grad_norm": 0.3353908360004425,
|
847 |
+
"learning_rate": 0.00014543191212613047,
|
848 |
+
"loss": 0.0486,
|
849 |
+
"step": 1200
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.926751592356688,
|
853 |
+
"grad_norm": 0.4279186427593231,
|
854 |
+
"learning_rate": 0.0001444905762364872,
|
855 |
+
"loss": 0.0526,
|
856 |
+
"step": 1210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 1.9426751592356688,
|
860 |
+
"grad_norm": 0.5773082375526428,
|
861 |
+
"learning_rate": 0.00014354429906297125,
|
862 |
+
"loss": 0.0462,
|
863 |
+
"step": 1220
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.9585987261146496,
|
867 |
+
"grad_norm": 0.39543482661247253,
|
868 |
+
"learning_rate": 0.00014259318570253863,
|
869 |
+
"loss": 0.0417,
|
870 |
+
"step": 1230
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 1.9745222929936306,
|
874 |
+
"grad_norm": 0.39346298575401306,
|
875 |
+
"learning_rate": 0.0001416373417892698,
|
876 |
+
"loss": 0.0361,
|
877 |
+
"step": 1240
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 1.9904458598726116,
|
881 |
+
"grad_norm": 0.32164451479911804,
|
882 |
+
"learning_rate": 0.0001406768734826375,
|
883 |
+
"loss": 0.0394,
|
884 |
+
"step": 1250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.0063694267515926,
|
888 |
+
"grad_norm": 0.551193356513977,
|
889 |
+
"learning_rate": 0.00013971188745571616,
|
890 |
+
"loss": 0.042,
|
891 |
+
"step": 1260
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.022292993630573,
|
895 |
+
"grad_norm": 0.3745879530906677,
|
896 |
+
"learning_rate": 0.00013874249088333468,
|
897 |
+
"loss": 0.0432,
|
898 |
+
"step": 1270
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 2.038216560509554,
|
902 |
+
"grad_norm": 0.36253151297569275,
|
903 |
+
"learning_rate": 0.00013776879143017294,
|
904 |
+
"loss": 0.0395,
|
905 |
+
"step": 1280
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.054140127388535,
|
909 |
+
"grad_norm": 0.5354855060577393,
|
910 |
+
"learning_rate": 0.00013679089723880427,
|
911 |
+
"loss": 0.044,
|
912 |
+
"step": 1290
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 2.070063694267516,
|
916 |
+
"grad_norm": 0.5604785680770874,
|
917 |
+
"learning_rate": 0.00013580891691768483,
|
918 |
+
"loss": 0.0377,
|
919 |
+
"step": 1300
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 2.0859872611464967,
|
923 |
+
"grad_norm": 0.42235568165779114,
|
924 |
+
"learning_rate": 0.00013482295952909102,
|
925 |
+
"loss": 0.0381,
|
926 |
+
"step": 1310
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 2.1019108280254777,
|
930 |
+
"grad_norm": 0.3224591612815857,
|
931 |
+
"learning_rate": 0.0001338331345770068,
|
932 |
+
"loss": 0.0396,
|
933 |
+
"step": 1320
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 2.1178343949044587,
|
937 |
+
"grad_norm": 0.36872801184654236,
|
938 |
+
"learning_rate": 0.00013283955199496156,
|
939 |
+
"loss": 0.0469,
|
940 |
+
"step": 1330
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 2.1337579617834397,
|
944 |
+
"grad_norm": 0.38453301787376404,
|
945 |
+
"learning_rate": 0.0001318423221338207,
|
946 |
+
"loss": 0.0433,
|
947 |
+
"step": 1340
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 2.1496815286624202,
|
951 |
+
"grad_norm": 0.3108746409416199,
|
952 |
+
"learning_rate": 0.0001308415557495295,
|
953 |
+
"loss": 0.0373,
|
954 |
+
"step": 1350
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.1656050955414012,
|
958 |
+
"grad_norm": 0.41351979970932007,
|
959 |
+
"learning_rate": 0.00012983736399081242,
|
960 |
+
"loss": 0.0362,
|
961 |
+
"step": 1360
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 2.1815286624203822,
|
965 |
+
"grad_norm": 0.39941781759262085,
|
966 |
+
"learning_rate": 0.0001288298583868282,
|
967 |
+
"loss": 0.0444,
|
968 |
+
"step": 1370
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 2.1974522292993632,
|
972 |
+
"grad_norm": 0.5019637942314148,
|
973 |
+
"learning_rate": 0.00012781915083478332,
|
974 |
+
"loss": 0.0362,
|
975 |
+
"step": 1380
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.213375796178344,
|
979 |
+
"grad_norm": 0.44153285026550293,
|
980 |
+
"learning_rate": 0.00012680535358750402,
|
981 |
+
"loss": 0.048,
|
982 |
+
"step": 1390
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 2.229299363057325,
|
986 |
+
"grad_norm": 0.3250869810581207,
|
987 |
+
"learning_rate": 0.00012578857924096934,
|
988 |
+
"loss": 0.038,
|
989 |
+
"step": 1400
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.245222929936306,
|
993 |
+
"grad_norm": 0.38918137550354004,
|
994 |
+
"learning_rate": 0.00012476894072180575,
|
995 |
+
"loss": 0.0507,
|
996 |
+
"step": 1410
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.261146496815287,
|
1000 |
+
"grad_norm": 0.42312440276145935,
|
1001 |
+
"learning_rate": 0.00012374655127474487,
|
1002 |
+
"loss": 0.0401,
|
1003 |
+
"step": 1420
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 2.2770700636942673,
|
1007 |
+
"grad_norm": 0.6262978911399841,
|
1008 |
+
"learning_rate": 0.00012272152445004647,
|
1009 |
+
"loss": 0.0476,
|
1010 |
+
"step": 1430
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 2.2929936305732483,
|
1014 |
+
"grad_norm": 0.4742312431335449,
|
1015 |
+
"learning_rate": 0.00012169397409088695,
|
1016 |
+
"loss": 0.0375,
|
1017 |
+
"step": 1440
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.3089171974522293,
|
1021 |
+
"grad_norm": 0.5429434180259705,
|
1022 |
+
"learning_rate": 0.00012066401432071551,
|
1023 |
+
"loss": 0.0486,
|
1024 |
+
"step": 1450
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 2.3248407643312103,
|
1028 |
+
"grad_norm": 0.34995678067207336,
|
1029 |
+
"learning_rate": 0.00011963175953057924,
|
1030 |
+
"loss": 0.0398,
|
1031 |
+
"step": 1460
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 2.340764331210191,
|
1035 |
+
"grad_norm": 0.26490700244903564,
|
1036 |
+
"learning_rate": 0.00011859732436641851,
|
1037 |
+
"loss": 0.0285,
|
1038 |
+
"step": 1470
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 2.356687898089172,
|
1042 |
+
"grad_norm": 0.30831092596054077,
|
1043 |
+
"learning_rate": 0.00011756082371633373,
|
1044 |
+
"loss": 0.0344,
|
1045 |
+
"step": 1480
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 2.372611464968153,
|
1049 |
+
"grad_norm": 0.35261446237564087,
|
1050 |
+
"learning_rate": 0.00011652237269782573,
|
1051 |
+
"loss": 0.0327,
|
1052 |
+
"step": 1490
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.388535031847134,
|
1056 |
+
"grad_norm": 0.31007587909698486,
|
1057 |
+
"learning_rate": 0.00011548208664501034,
|
1058 |
+
"loss": 0.049,
|
1059 |
+
"step": 1500
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.404458598726115,
|
1063 |
+
"grad_norm": 0.49864161014556885,
|
1064 |
+
"learning_rate": 0.00011444008109580884,
|
1065 |
+
"loss": 0.0318,
|
1066 |
+
"step": 1510
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 2.4203821656050954,
|
1070 |
+
"grad_norm": 0.2871188521385193,
|
1071 |
+
"learning_rate": 0.00011339647177911599,
|
1072 |
+
"loss": 0.0335,
|
1073 |
+
"step": 1520
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 2.4363057324840764,
|
1077 |
+
"grad_norm": 0.38693806529045105,
|
1078 |
+
"learning_rate": 0.00011235137460194676,
|
1079 |
+
"loss": 0.0334,
|
1080 |
+
"step": 1530
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.4522292993630574,
|
1084 |
+
"grad_norm": 0.34477829933166504,
|
1085 |
+
"learning_rate": 0.00011130490563656326,
|
1086 |
+
"loss": 0.0278,
|
1087 |
+
"step": 1540
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 2.468152866242038,
|
1091 |
+
"grad_norm": 0.21558038890361786,
|
1092 |
+
"learning_rate": 0.00011025718110758338,
|
1093 |
+
"loss": 0.0425,
|
1094 |
+
"step": 1550
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 2.484076433121019,
|
1098 |
+
"grad_norm": 0.3483816683292389,
|
1099 |
+
"learning_rate": 0.0001092083173790724,
|
1100 |
+
"loss": 0.0308,
|
1101 |
+
"step": 1560
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.5,
|
1105 |
+
"grad_norm": 0.365614652633667,
|
1106 |
+
"learning_rate": 0.00010815843094161927,
|
1107 |
+
"loss": 0.0309,
|
1108 |
+
"step": 1570
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 2.515923566878981,
|
1112 |
+
"grad_norm": 0.4408479928970337,
|
1113 |
+
"learning_rate": 0.00010710763839939857,
|
1114 |
+
"loss": 0.034,
|
1115 |
+
"step": 1580
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 2.531847133757962,
|
1119 |
+
"grad_norm": 0.2580474615097046,
|
1120 |
+
"learning_rate": 0.00010605605645722024,
|
1121 |
+
"loss": 0.0349,
|
1122 |
+
"step": 1590
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 2.5477707006369426,
|
1126 |
+
"grad_norm": 0.3337418735027313,
|
1127 |
+
"learning_rate": 0.0001050038019075678,
|
1128 |
+
"loss": 0.0342,
|
1129 |
+
"step": 1600
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 2.5636942675159236,
|
1133 |
+
"grad_norm": 0.41936802864074707,
|
1134 |
+
"learning_rate": 0.00010395099161762698,
|
1135 |
+
"loss": 0.0404,
|
1136 |
+
"step": 1610
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 2.5796178343949046,
|
1140 |
+
"grad_norm": 0.3816032111644745,
|
1141 |
+
"learning_rate": 0.00010289774251630602,
|
1142 |
+
"loss": 0.0442,
|
1143 |
+
"step": 1620
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 2.595541401273885,
|
1147 |
+
"grad_norm": 0.30350789427757263,
|
1148 |
+
"learning_rate": 0.00010184417158124915,
|
1149 |
+
"loss": 0.036,
|
1150 |
+
"step": 1630
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 2.611464968152866,
|
1154 |
+
"grad_norm": 0.20693911612033844,
|
1155 |
+
"learning_rate": 0.00010079039582584457,
|
1156 |
+
"loss": 0.0293,
|
1157 |
+
"step": 1640
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 2.627388535031847,
|
1161 |
+
"grad_norm": 0.31562432646751404,
|
1162 |
+
"learning_rate": 9.973653228622867e-05,
|
1163 |
+
"loss": 0.0268,
|
1164 |
+
"step": 1650
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 2.643312101910828,
|
1168 |
+
"grad_norm": 0.3229486048221588,
|
1169 |
+
"learning_rate": 9.86826980082874e-05,
|
1170 |
+
"loss": 0.0385,
|
1171 |
+
"step": 1660
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 2.659235668789809,
|
1175 |
+
"grad_norm": 0.20771260559558868,
|
1176 |
+
"learning_rate": 9.762901003465679e-05,
|
1177 |
+
"loss": 0.0293,
|
1178 |
+
"step": 1670
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 2.6751592356687897,
|
1182 |
+
"grad_norm": 0.2522100508213043,
|
1183 |
+
"learning_rate": 9.657558539172376e-05,
|
1184 |
+
"loss": 0.0273,
|
1185 |
+
"step": 1680
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 2.6910828025477707,
|
1189 |
+
"grad_norm": 0.30410313606262207,
|
1190 |
+
"learning_rate": 9.552254107662888e-05,
|
1191 |
+
"loss": 0.039,
|
1192 |
+
"step": 1690
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 2.7070063694267517,
|
1196 |
+
"grad_norm": 0.5962004661560059,
|
1197 |
+
"learning_rate": 9.446999404427209e-05,
|
1198 |
+
"loss": 0.0355,
|
1199 |
+
"step": 1700
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 2.722929936305732,
|
1203 |
+
"grad_norm": 0.3611944913864136,
|
1204 |
+
"learning_rate": 9.341806119432324e-05,
|
1205 |
+
"loss": 0.0299,
|
1206 |
+
"step": 1710
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 2.738853503184713,
|
1210 |
+
"grad_norm": 0.23662623763084412,
|
1211 |
+
"learning_rate": 9.2366859358239e-05,
|
1212 |
+
"loss": 0.0305,
|
1213 |
+
"step": 1720
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 2.754777070063694,
|
1217 |
+
"grad_norm": 0.27245596051216125,
|
1218 |
+
"learning_rate": 9.131650528628687e-05,
|
1219 |
+
"loss": 0.0265,
|
1220 |
+
"step": 1730
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 2.770700636942675,
|
1224 |
+
"grad_norm": 0.23096629977226257,
|
1225 |
+
"learning_rate": 9.026711563457868e-05,
|
1226 |
+
"loss": 0.0373,
|
1227 |
+
"step": 1740
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 2.786624203821656,
|
1231 |
+
"grad_norm": 0.23357895016670227,
|
1232 |
+
"learning_rate": 8.921880695211431e-05,
|
1233 |
+
"loss": 0.0301,
|
1234 |
+
"step": 1750
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 2.802547770700637,
|
1238 |
+
"grad_norm": 0.36908674240112305,
|
1239 |
+
"learning_rate": 8.817169566783723e-05,
|
1240 |
+
"loss": 0.0276,
|
1241 |
+
"step": 1760
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 2.8184713375796178,
|
1245 |
+
"grad_norm": 0.20657651126384735,
|
1246 |
+
"learning_rate": 8.712589807770349e-05,
|
1247 |
+
"loss": 0.0299,
|
1248 |
+
"step": 1770
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 2.8343949044585988,
|
1252 |
+
"grad_norm": 0.27385637164115906,
|
1253 |
+
"learning_rate": 8.60815303317657e-05,
|
1254 |
+
"loss": 0.0312,
|
1255 |
+
"step": 1780
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 2.8503184713375798,
|
1259 |
+
"grad_norm": 0.4029058516025543,
|
1260 |
+
"learning_rate": 8.503870842127267e-05,
|
1261 |
+
"loss": 0.0391,
|
1262 |
+
"step": 1790
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 2.8662420382165603,
|
1266 |
+
"grad_norm": 0.2755729556083679,
|
1267 |
+
"learning_rate": 8.399754816578718e-05,
|
1268 |
+
"loss": 0.0367,
|
1269 |
+
"step": 1800
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 2.8821656050955413,
|
1273 |
+
"grad_norm": 0.2416078746318817,
|
1274 |
+
"learning_rate": 8.295816520032271e-05,
|
1275 |
+
"loss": 0.0274,
|
1276 |
+
"step": 1810
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 2.8980891719745223,
|
1280 |
+
"grad_norm": 0.22337061166763306,
|
1281 |
+
"learning_rate": 8.192067496250038e-05,
|
1282 |
+
"loss": 0.0219,
|
1283 |
+
"step": 1820
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 2.9140127388535033,
|
1287 |
+
"grad_norm": 0.21762487292289734,
|
1288 |
+
"learning_rate": 8.088519267972813e-05,
|
1289 |
+
"loss": 0.023,
|
1290 |
+
"step": 1830
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 2.9299363057324843,
|
1294 |
+
"grad_norm": 0.32507646083831787,
|
1295 |
+
"learning_rate": 7.985183335640331e-05,
|
1296 |
+
"loss": 0.0284,
|
1297 |
+
"step": 1840
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 2.945859872611465,
|
1301 |
+
"grad_norm": 0.3356756269931793,
|
1302 |
+
"learning_rate": 7.882071176113967e-05,
|
1303 |
+
"loss": 0.0304,
|
1304 |
+
"step": 1850
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 2.961783439490446,
|
1308 |
+
"grad_norm": 0.31162557005882263,
|
1309 |
+
"learning_rate": 7.779194241402071e-05,
|
1310 |
+
"loss": 0.0282,
|
1311 |
+
"step": 1860
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 2.977707006369427,
|
1315 |
+
"grad_norm": 0.24151593446731567,
|
1316 |
+
"learning_rate": 7.676563957388097e-05,
|
1317 |
+
"loss": 0.0248,
|
1318 |
+
"step": 1870
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 2.9936305732484074,
|
1322 |
+
"grad_norm": 0.41317158937454224,
|
1323 |
+
"learning_rate": 7.574191722561562e-05,
|
1324 |
+
"loss": 0.0303,
|
1325 |
+
"step": 1880
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 3.0095541401273884,
|
1329 |
+
"grad_norm": 0.33723485469818115,
|
1330 |
+
"learning_rate": 7.472088906752124e-05,
|
1331 |
+
"loss": 0.0326,
|
1332 |
+
"step": 1890
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 3.0254777070063694,
|
1336 |
+
"grad_norm": 0.402401328086853,
|
1337 |
+
"learning_rate": 7.37026684986678e-05,
|
1338 |
+
"loss": 0.0327,
|
1339 |
+
"step": 1900
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 3.0414012738853504,
|
1343 |
+
"grad_norm": 0.2733253538608551,
|
1344 |
+
"learning_rate": 7.26873686063045e-05,
|
1345 |
+
"loss": 0.0286,
|
1346 |
+
"step": 1910
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 3.0573248407643314,
|
1350 |
+
"grad_norm": 0.2582903802394867,
|
1351 |
+
"learning_rate": 7.16751021532994e-05,
|
1352 |
+
"loss": 0.0232,
|
1353 |
+
"step": 1920
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 3.073248407643312,
|
1357 |
+
"grad_norm": 0.3948001265525818,
|
1358 |
+
"learning_rate": 7.066598156561606e-05,
|
1359 |
+
"loss": 0.0331,
|
1360 |
+
"step": 1930
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 3.089171974522293,
|
1364 |
+
"grad_norm": 0.23859384655952454,
|
1365 |
+
"learning_rate": 6.966011891982678e-05,
|
1366 |
+
"loss": 0.0253,
|
1367 |
+
"step": 1940
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 3.105095541401274,
|
1371 |
+
"grad_norm": 0.2874588072299957,
|
1372 |
+
"learning_rate": 6.865762593066513e-05,
|
1373 |
+
"loss": 0.0316,
|
1374 |
+
"step": 1950
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 3.121019108280255,
|
1378 |
+
"grad_norm": 0.40092089772224426,
|
1379 |
+
"learning_rate": 6.76586139386184e-05,
|
1380 |
+
"loss": 0.0294,
|
1381 |
+
"step": 1960
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 3.1369426751592355,
|
1385 |
+
"grad_norm": 0.2927519679069519,
|
1386 |
+
"learning_rate": 6.666319389756189e-05,
|
1387 |
+
"loss": 0.0323,
|
1388 |
+
"step": 1970
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 3.1528662420382165,
|
1392 |
+
"grad_norm": 0.2560182809829712,
|
1393 |
+
"learning_rate": 6.567147636243576e-05,
|
1394 |
+
"loss": 0.0292,
|
1395 |
+
"step": 1980
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 3.1687898089171975,
|
1399 |
+
"grad_norm": 0.18076066672801971,
|
1400 |
+
"learning_rate": 6.468357147696653e-05,
|
1401 |
+
"loss": 0.0223,
|
1402 |
+
"step": 1990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 3.1847133757961785,
|
1406 |
+
"grad_norm": 0.32147490978240967,
|
1407 |
+
"learning_rate": 6.36995889614342e-05,
|
1408 |
+
"loss": 0.028,
|
1409 |
+
"step": 2000
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 3.200636942675159,
|
1413 |
+
"grad_norm": 0.24778632819652557,
|
1414 |
+
"learning_rate": 6.271963810048607e-05,
|
1415 |
+
"loss": 0.0244,
|
1416 |
+
"step": 2010
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 3.21656050955414,
|
1420 |
+
"grad_norm": 0.2591859698295593,
|
1421 |
+
"learning_rate": 6.174382773099938e-05,
|
1422 |
+
"loss": 0.0252,
|
1423 |
+
"step": 2020
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 3.232484076433121,
|
1427 |
+
"grad_norm": 0.37974950671195984,
|
1428 |
+
"learning_rate": 6.077226622999355e-05,
|
1429 |
+
"loss": 0.0293,
|
1430 |
+
"step": 2030
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 3.248407643312102,
|
1434 |
+
"grad_norm": 0.36128807067871094,
|
1435 |
+
"learning_rate": 5.980506150259323e-05,
|
1436 |
+
"loss": 0.0253,
|
1437 |
+
"step": 2040
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 3.2643312101910826,
|
1441 |
+
"grad_norm": 0.2899702489376068,
|
1442 |
+
"learning_rate": 5.88423209700441e-05,
|
1443 |
+
"loss": 0.0199,
|
1444 |
+
"step": 2050
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 3.2802547770700636,
|
1448 |
+
"grad_norm": 0.24200858175754547,
|
1449 |
+
"learning_rate": 5.7884151557782305e-05,
|
1450 |
+
"loss": 0.0334,
|
1451 |
+
"step": 2060
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 3.2961783439490446,
|
1455 |
+
"grad_norm": 0.24898533523082733,
|
1456 |
+
"learning_rate": 5.693065968355888e-05,
|
1457 |
+
"loss": 0.0269,
|
1458 |
+
"step": 2070
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 3.3121019108280256,
|
1462 |
+
"grad_norm": 0.33028173446655273,
|
1463 |
+
"learning_rate": 5.598195124562049e-05,
|
1464 |
+
"loss": 0.0309,
|
1465 |
+
"step": 2080
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 3.328025477707006,
|
1469 |
+
"grad_norm": 0.32554179430007935,
|
1470 |
+
"learning_rate": 5.5038131610948326e-05,
|
1471 |
+
"loss": 0.0274,
|
1472 |
+
"step": 2090
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 3.343949044585987,
|
1476 |
+
"grad_norm": 0.25384682416915894,
|
1477 |
+
"learning_rate": 5.409930560355527e-05,
|
1478 |
+
"loss": 0.0235,
|
1479 |
+
"step": 2100
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 3.359872611464968,
|
1483 |
+
"grad_norm": 0.3368367850780487,
|
1484 |
+
"learning_rate": 5.316557749284401e-05,
|
1485 |
+
"loss": 0.0259,
|
1486 |
+
"step": 2110
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 3.375796178343949,
|
1490 |
+
"grad_norm": 0.3751080334186554,
|
1491 |
+
"learning_rate": 5.223705098202647e-05,
|
1492 |
+
"loss": 0.0405,
|
1493 |
+
"step": 2120
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 3.3917197452229297,
|
1497 |
+
"grad_norm": 0.3862003684043884,
|
1498 |
+
"learning_rate": 5.131382919660609e-05,
|
1499 |
+
"loss": 0.0311,
|
1500 |
+
"step": 2130
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 3.4076433121019107,
|
1504 |
+
"grad_norm": 0.32009872794151306,
|
1505 |
+
"learning_rate": 5.03960146729244e-05,
|
1506 |
+
"loss": 0.0252,
|
1507 |
+
"step": 2140
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 3.4235668789808917,
|
1511 |
+
"grad_norm": 0.2071923166513443,
|
1512 |
+
"learning_rate": 4.9483709346772896e-05,
|
1513 |
+
"loss": 0.0248,
|
1514 |
+
"step": 2150
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 3.4394904458598727,
|
1518 |
+
"grad_norm": 0.3461016118526459,
|
1519 |
+
"learning_rate": 4.85770145420718e-05,
|
1520 |
+
"loss": 0.0336,
|
1521 |
+
"step": 2160
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 3.4554140127388537,
|
1525 |
+
"grad_norm": 0.3042682111263275,
|
1526 |
+
"learning_rate": 4.7676030959616526e-05,
|
1527 |
+
"loss": 0.0211,
|
1528 |
+
"step": 2170
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 3.4713375796178343,
|
1532 |
+
"grad_norm": 0.16671477258205414,
|
1533 |
+
"learning_rate": 4.678085866589348e-05,
|
1534 |
+
"loss": 0.018,
|
1535 |
+
"step": 2180
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 3.4872611464968153,
|
1539 |
+
"grad_norm": 0.20116400718688965,
|
1540 |
+
"learning_rate": 4.5891597081966583e-05,
|
1541 |
+
"loss": 0.0224,
|
1542 |
+
"step": 2190
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 3.5031847133757963,
|
1546 |
+
"grad_norm": 0.23196861147880554,
|
1547 |
+
"learning_rate": 4.500834497243478e-05,
|
1548 |
+
"loss": 0.0221,
|
1549 |
+
"step": 2200
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 3.519108280254777,
|
1553 |
+
"grad_norm": 0.2727397084236145,
|
1554 |
+
"learning_rate": 4.413120043446322e-05,
|
1555 |
+
"loss": 0.0272,
|
1556 |
+
"step": 2210
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 3.535031847133758,
|
1560 |
+
"grad_norm": 0.283627450466156,
|
1561 |
+
"learning_rate": 4.3260260886888206e-05,
|
1562 |
+
"loss": 0.0259,
|
1563 |
+
"step": 2220
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 3.550955414012739,
|
1567 |
+
"grad_norm": 0.40015652775764465,
|
1568 |
+
"learning_rate": 4.239562305939725e-05,
|
1569 |
+
"loss": 0.0298,
|
1570 |
+
"step": 2230
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 3.56687898089172,
|
1574 |
+
"grad_norm": 0.30534714460372925,
|
1575 |
+
"learning_rate": 4.153738298178623e-05,
|
1576 |
+
"loss": 0.0245,
|
1577 |
+
"step": 2240
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 3.582802547770701,
|
1581 |
+
"grad_norm": 0.22230559587478638,
|
1582 |
+
"learning_rate": 4.068563597329379e-05,
|
1583 |
+
"loss": 0.0231,
|
1584 |
+
"step": 2250
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 3.5987261146496814,
|
1588 |
+
"grad_norm": 0.3529864549636841,
|
1589 |
+
"learning_rate": 3.984047663201492e-05,
|
1590 |
+
"loss": 0.04,
|
1591 |
+
"step": 2260
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 3.6146496815286624,
|
1595 |
+
"grad_norm": 0.2945915460586548,
|
1596 |
+
"learning_rate": 3.9001998824394526e-05,
|
1597 |
+
"loss": 0.0251,
|
1598 |
+
"step": 2270
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 3.6305732484076434,
|
1602 |
+
"grad_norm": 0.24476458132266998,
|
1603 |
+
"learning_rate": 3.817029567480228e-05,
|
1604 |
+
"loss": 0.0245,
|
1605 |
+
"step": 2280
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 3.646496815286624,
|
1609 |
+
"grad_norm": 0.1646440178155899,
|
1610 |
+
"learning_rate": 3.7345459555189885e-05,
|
1611 |
+
"loss": 0.0246,
|
1612 |
+
"step": 2290
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 3.662420382165605,
|
1616 |
+
"grad_norm": 0.21083424985408783,
|
1617 |
+
"learning_rate": 3.652758207483197e-05,
|
1618 |
+
"loss": 0.0272,
|
1619 |
+
"step": 2300
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 3.678343949044586,
|
1623 |
+
"grad_norm": 0.17064619064331055,
|
1624 |
+
"learning_rate": 3.5716754070151524e-05,
|
1625 |
+
"loss": 0.0169,
|
1626 |
+
"step": 2310
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 3.694267515923567,
|
1630 |
+
"grad_norm": 0.18861030042171478,
|
1631 |
+
"learning_rate": 3.4913065594631434e-05,
|
1632 |
+
"loss": 0.0257,
|
1633 |
+
"step": 2320
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 3.710191082802548,
|
1637 |
+
"grad_norm": 0.31544387340545654,
|
1638 |
+
"learning_rate": 3.4116605908812595e-05,
|
1639 |
+
"loss": 0.0237,
|
1640 |
+
"step": 2330
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 3.7261146496815285,
|
1644 |
+
"grad_norm": 0.5185452103614807,
|
1645 |
+
"learning_rate": 3.3327463470380524e-05,
|
1646 |
+
"loss": 0.0229,
|
1647 |
+
"step": 2340
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 3.7420382165605095,
|
1651 |
+
"grad_norm": 0.2828991115093231,
|
1652 |
+
"learning_rate": 3.2545725924340876e-05,
|
1653 |
+
"loss": 0.0294,
|
1654 |
+
"step": 2350
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 3.7579617834394905,
|
1658 |
+
"grad_norm": 0.2944129407405853,
|
1659 |
+
"learning_rate": 3.1771480093285186e-05,
|
1660 |
+
"loss": 0.0218,
|
1661 |
+
"step": 2360
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 3.7738853503184715,
|
1665 |
+
"grad_norm": 0.24150818586349487,
|
1666 |
+
"learning_rate": 3.1004811967748134e-05,
|
1667 |
+
"loss": 0.024,
|
1668 |
+
"step": 2370
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 3.789808917197452,
|
1672 |
+
"grad_norm": 0.2700318396091461,
|
1673 |
+
"learning_rate": 3.024580669665711e-05,
|
1674 |
+
"loss": 0.0244,
|
1675 |
+
"step": 2380
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 3.805732484076433,
|
1679 |
+
"grad_norm": 0.4214876592159271,
|
1680 |
+
"learning_rate": 2.9494548577875192e-05,
|
1681 |
+
"loss": 0.0264,
|
1682 |
+
"step": 2390
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 3.821656050955414,
|
1686 |
+
"grad_norm": 0.2855050265789032,
|
1687 |
+
"learning_rate": 2.8751121048838836e-05,
|
1688 |
+
"loss": 0.02,
|
1689 |
+
"step": 2400
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 3.837579617834395,
|
1693 |
+
"grad_norm": 0.19058647751808167,
|
1694 |
+
"learning_rate": 2.801560667729093e-05,
|
1695 |
+
"loss": 0.0243,
|
1696 |
+
"step": 2410
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 3.853503184713376,
|
1700 |
+
"grad_norm": 0.32941293716430664,
|
1701 |
+
"learning_rate": 2.7288087152110565e-05,
|
1702 |
+
"loss": 0.0268,
|
1703 |
+
"step": 2420
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 3.8694267515923566,
|
1707 |
+
"grad_norm": 0.4154011905193329,
|
1708 |
+
"learning_rate": 2.656864327424027e-05,
|
1709 |
+
"loss": 0.0206,
|
1710 |
+
"step": 2430
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 3.8853503184713376,
|
1714 |
+
"grad_norm": 0.3098050057888031,
|
1715 |
+
"learning_rate": 2.585735494771222e-05,
|
1716 |
+
"loss": 0.023,
|
1717 |
+
"step": 2440
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 3.9012738853503186,
|
1721 |
+
"grad_norm": 0.27963143587112427,
|
1722 |
+
"learning_rate": 2.515430117077354e-05,
|
1723 |
+
"loss": 0.0273,
|
1724 |
+
"step": 2450
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 3.917197452229299,
|
1728 |
+
"grad_norm": 0.29374557733535767,
|
1729 |
+
"learning_rate": 2.4459560027112504e-05,
|
1730 |
+
"loss": 0.0244,
|
1731 |
+
"step": 2460
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 3.93312101910828,
|
1735 |
+
"grad_norm": 0.1925758719444275,
|
1736 |
+
"learning_rate": 2.377320867718654e-05,
|
1737 |
+
"loss": 0.0214,
|
1738 |
+
"step": 2470
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 3.949044585987261,
|
1742 |
+
"grad_norm": 0.3169631361961365,
|
1743 |
+
"learning_rate": 2.3095323349652153e-05,
|
1744 |
+
"loss": 0.0258,
|
1745 |
+
"step": 2480
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 3.964968152866242,
|
1749 |
+
"grad_norm": 0.2621577978134155,
|
1750 |
+
"learning_rate": 2.242597933289894e-05,
|
1751 |
+
"loss": 0.0238,
|
1752 |
+
"step": 2490
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 3.980891719745223,
|
1756 |
+
"grad_norm": 0.2187499850988388,
|
1757 |
+
"learning_rate": 2.176525096668769e-05,
|
1758 |
+
"loss": 0.0266,
|
1759 |
+
"step": 2500
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 3.9968152866242037,
|
1763 |
+
"grad_norm": 0.2935671806335449,
|
1764 |
+
"learning_rate": 2.1113211633894003e-05,
|
1765 |
+
"loss": 0.0214,
|
1766 |
+
"step": 2510
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 4.012738853503185,
|
1770 |
+
"grad_norm": 0.1593521386384964,
|
1771 |
+
"learning_rate": 2.046993375235804e-05,
|
1772 |
+
"loss": 0.0166,
|
1773 |
+
"step": 2520
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 4.028662420382165,
|
1777 |
+
"grad_norm": 0.32574114203453064,
|
1778 |
+
"learning_rate": 1.9835488766841615e-05,
|
1779 |
+
"loss": 0.0232,
|
1780 |
+
"step": 2530
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 4.044585987261146,
|
1784 |
+
"grad_norm": 0.2108948677778244,
|
1785 |
+
"learning_rate": 1.920994714109323e-05,
|
1786 |
+
"loss": 0.0255,
|
1787 |
+
"step": 2540
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 4.060509554140127,
|
1791 |
+
"grad_norm": 0.2054058164358139,
|
1792 |
+
"learning_rate": 1.8593378350022183e-05,
|
1793 |
+
"loss": 0.0156,
|
1794 |
+
"step": 2550
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 4.076433121019108,
|
1798 |
+
"grad_norm": 0.28134655952453613,
|
1799 |
+
"learning_rate": 1.798585087198228e-05,
|
1800 |
+
"loss": 0.0244,
|
1801 |
+
"step": 2560
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 4.092356687898089,
|
1805 |
+
"grad_norm": 0.26843348145484924,
|
1806 |
+
"learning_rate": 1.7387432181166642e-05,
|
1807 |
+
"loss": 0.0294,
|
1808 |
+
"step": 2570
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 4.10828025477707,
|
1812 |
+
"grad_norm": 0.32004109025001526,
|
1813 |
+
"learning_rate": 1.6798188740113484e-05,
|
1814 |
+
"loss": 0.0263,
|
1815 |
+
"step": 2580
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 4.124203821656051,
|
1819 |
+
"grad_norm": 0.6330613493919373,
|
1820 |
+
"learning_rate": 1.621818599232475e-05,
|
1821 |
+
"loss": 0.0178,
|
1822 |
+
"step": 2590
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 4.140127388535032,
|
1826 |
+
"grad_norm": 0.21530304849147797,
|
1827 |
+
"learning_rate": 1.564748835499773e-05,
|
1828 |
+
"loss": 0.0277,
|
1829 |
+
"step": 2600
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 4.156050955414012,
|
1833 |
+
"grad_norm": 0.20998333394527435,
|
1834 |
+
"learning_rate": 1.5086159211870442e-05,
|
1835 |
+
"loss": 0.0214,
|
1836 |
+
"step": 2610
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 4.171974522292993,
|
1840 |
+
"grad_norm": 0.3173789381980896,
|
1841 |
+
"learning_rate": 1.4534260906182228e-05,
|
1842 |
+
"loss": 0.0198,
|
1843 |
+
"step": 2620
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 4.187898089171974,
|
1847 |
+
"grad_norm": 0.18961144983768463,
|
1848 |
+
"learning_rate": 1.399185473374961e-05,
|
1849 |
+
"loss": 0.021,
|
1850 |
+
"step": 2630
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 4.203821656050955,
|
1854 |
+
"grad_norm": 0.36942291259765625,
|
1855 |
+
"learning_rate": 1.3459000936158528e-05,
|
1856 |
+
"loss": 0.0239,
|
1857 |
+
"step": 2640
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 4.219745222929936,
|
1861 |
+
"grad_norm": 0.28133276104927063,
|
1862 |
+
"learning_rate": 1.293575869407373e-05,
|
1863 |
+
"loss": 0.0244,
|
1864 |
+
"step": 2650
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 4.235668789808917,
|
1868 |
+
"grad_norm": 0.2719907760620117,
|
1869 |
+
"learning_rate": 1.2422186120665935e-05,
|
1870 |
+
"loss": 0.0203,
|
1871 |
+
"step": 2660
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 4.251592356687898,
|
1875 |
+
"grad_norm": 0.15558955073356628,
|
1876 |
+
"learning_rate": 1.1918340255157612e-05,
|
1877 |
+
"loss": 0.0214,
|
1878 |
+
"step": 2670
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 4.267515923566879,
|
1882 |
+
"grad_norm": 0.23012204468250275,
|
1883 |
+
"learning_rate": 1.1424277056487864e-05,
|
1884 |
+
"loss": 0.0232,
|
1885 |
+
"step": 2680
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 4.2834394904458595,
|
1889 |
+
"grad_norm": 0.29646140336990356,
|
1890 |
+
"learning_rate": 1.0940051397097673e-05,
|
1891 |
+
"loss": 0.0179,
|
1892 |
+
"step": 2690
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 4.2993630573248405,
|
1896 |
+
"grad_norm": 0.282185435295105,
|
1897 |
+
"learning_rate": 1.0465717056835355e-05,
|
1898 |
+
"loss": 0.0171,
|
1899 |
+
"step": 2700
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 4.3152866242038215,
|
1903 |
+
"grad_norm": 0.3244917392730713,
|
1904 |
+
"learning_rate": 1.0001326716983584e-05,
|
1905 |
+
"loss": 0.0161,
|
1906 |
+
"step": 2710
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 4.3312101910828025,
|
1910 |
+
"grad_norm": 0.2768123149871826,
|
1911 |
+
"learning_rate": 9.546931954408622e-06,
|
1912 |
+
"loss": 0.0248,
|
1913 |
+
"step": 2720
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 4.3471337579617835,
|
1917 |
+
"grad_norm": 0.14225247502326965,
|
1918 |
+
"learning_rate": 9.10258323583173e-06,
|
1919 |
+
"loss": 0.0171,
|
1920 |
+
"step": 2730
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 4.3630573248407645,
|
1924 |
+
"grad_norm": 0.16188742220401764,
|
1925 |
+
"learning_rate": 8.668329912224337e-06,
|
1926 |
+
"loss": 0.0177,
|
1927 |
+
"step": 2740
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 4.3789808917197455,
|
1931 |
+
"grad_norm": 0.30127179622650146,
|
1932 |
+
"learning_rate": 8.244220213326958e-06,
|
1933 |
+
"loss": 0.0213,
|
1934 |
+
"step": 2750
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 4.3949044585987265,
|
1938 |
+
"grad_norm": 0.1804376244544983,
|
1939 |
+
"learning_rate": 7.83030124229246e-06,
|
1940 |
+
"loss": 0.0232,
|
1941 |
+
"step": 2760
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 4.4108280254777075,
|
1945 |
+
"grad_norm": 0.24196097254753113,
|
1946 |
+
"learning_rate": 7.426618970454757e-06,
|
1947 |
+
"loss": 0.0163,
|
1948 |
+
"step": 2770
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 4.426751592356688,
|
1952 |
+
"grad_norm": 0.4308320879936218,
|
1953 |
+
"learning_rate": 7.033218232223027e-06,
|
1954 |
+
"loss": 0.0165,
|
1955 |
+
"step": 2780
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 4.442675159235669,
|
1959 |
+
"grad_norm": 0.3199467062950134,
|
1960 |
+
"learning_rate": 6.650142720102248e-06,
|
1961 |
+
"loss": 0.024,
|
1962 |
+
"step": 2790
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 4.45859872611465,
|
1966 |
+
"grad_norm": 0.2603253722190857,
|
1967 |
+
"learning_rate": 6.2774349798405465e-06,
|
1968 |
+
"loss": 0.0232,
|
1969 |
+
"step": 2800
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 4.474522292993631,
|
1973 |
+
"grad_norm": 0.20752651989459991,
|
1974 |
+
"learning_rate": 5.915136405703858e-06,
|
1975 |
+
"loss": 0.0223,
|
1976 |
+
"step": 2810
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 4.490445859872612,
|
1980 |
+
"grad_norm": 0.17525236308574677,
|
1981 |
+
"learning_rate": 5.563287235878678e-06,
|
1982 |
+
"loss": 0.0168,
|
1983 |
+
"step": 2820
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 4.506369426751593,
|
1987 |
+
"grad_norm": 0.20458337664604187,
|
1988 |
+
"learning_rate": 5.221926548002876e-06,
|
1989 |
+
"loss": 0.0208,
|
1990 |
+
"step": 2830
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 4.522292993630574,
|
1994 |
+
"grad_norm": 0.353657066822052,
|
1995 |
+
"learning_rate": 4.891092254825725e-06,
|
1996 |
+
"loss": 0.0224,
|
1997 |
+
"step": 2840
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 4.538216560509554,
|
2001 |
+
"grad_norm": 0.23591625690460205,
|
2002 |
+
"learning_rate": 4.570821099997169e-06,
|
2003 |
+
"loss": 0.0186,
|
2004 |
+
"step": 2850
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 4.554140127388535,
|
2008 |
+
"grad_norm": 0.2248276323080063,
|
2009 |
+
"learning_rate": 4.261148653986824e-06,
|
2010 |
+
"loss": 0.0201,
|
2011 |
+
"step": 2860
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 4.570063694267516,
|
2015 |
+
"grad_norm": 0.19413244724273682,
|
2016 |
+
"learning_rate": 3.962109310133544e-06,
|
2017 |
+
"loss": 0.0209,
|
2018 |
+
"step": 2870
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 4.585987261146497,
|
2022 |
+
"grad_norm": 0.1779373288154602,
|
2023 |
+
"learning_rate": 3.6737362808254793e-06,
|
2024 |
+
"loss": 0.0164,
|
2025 |
+
"step": 2880
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 4.601910828025478,
|
2029 |
+
"grad_norm": 0.13120533525943756,
|
2030 |
+
"learning_rate": 3.3960615938114172e-06,
|
2031 |
+
"loss": 0.02,
|
2032 |
+
"step": 2890
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 4.617834394904459,
|
2036 |
+
"grad_norm": 0.24661269783973694,
|
2037 |
+
"learning_rate": 3.1291160886436575e-06,
|
2038 |
+
"loss": 0.0199,
|
2039 |
+
"step": 2900
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 4.63375796178344,
|
2043 |
+
"grad_norm": 0.20324034988880157,
|
2044 |
+
"learning_rate": 2.872929413252867e-06,
|
2045 |
+
"loss": 0.0168,
|
2046 |
+
"step": 2910
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 4.649681528662421,
|
2050 |
+
"grad_norm": 0.1891164630651474,
|
2051 |
+
"learning_rate": 2.6275300206552667e-06,
|
2052 |
+
"loss": 0.0239,
|
2053 |
+
"step": 2920
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 4.665605095541402,
|
2057 |
+
"grad_norm": 0.446866512298584,
|
2058 |
+
"learning_rate": 2.3929451657925482e-06,
|
2059 |
+
"loss": 0.0215,
|
2060 |
+
"step": 2930
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 4.681528662420382,
|
2064 |
+
"grad_norm": 0.1874268352985382,
|
2065 |
+
"learning_rate": 2.1692009025048422e-06,
|
2066 |
+
"loss": 0.0194,
|
2067 |
+
"step": 2940
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 4.697452229299363,
|
2071 |
+
"grad_norm": 0.3293200135231018,
|
2072 |
+
"learning_rate": 1.956322080637052e-06,
|
2073 |
+
"loss": 0.0245,
|
2074 |
+
"step": 2950
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 4.713375796178344,
|
2078 |
+
"grad_norm": 0.21030674874782562,
|
2079 |
+
"learning_rate": 1.754332343278986e-06,
|
2080 |
+
"loss": 0.0218,
|
2081 |
+
"step": 2960
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 4.729299363057325,
|
2085 |
+
"grad_norm": 0.1421198844909668,
|
2086 |
+
"learning_rate": 1.5632541241394461e-06,
|
2087 |
+
"loss": 0.017,
|
2088 |
+
"step": 2970
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 4.745222929936306,
|
2092 |
+
"grad_norm": 0.30587485432624817,
|
2093 |
+
"learning_rate": 1.3831086450546648e-06,
|
2094 |
+
"loss": 0.0165,
|
2095 |
+
"step": 2980
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 4.761146496815287,
|
2099 |
+
"grad_norm": 0.28812679648399353,
|
2100 |
+
"learning_rate": 1.213915913631314e-06,
|
2101 |
+
"loss": 0.0221,
|
2102 |
+
"step": 2990
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 4.777070063694268,
|
2106 |
+
"grad_norm": 0.20168578624725342,
|
2107 |
+
"learning_rate": 1.055694721024425e-06,
|
2108 |
+
"loss": 0.0197,
|
2109 |
+
"step": 3000
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 4.792993630573249,
|
2113 |
+
"grad_norm": 0.31528469920158386,
|
2114 |
+
"learning_rate": 9.084626398503604e-07,
|
2115 |
+
"loss": 0.0278,
|
2116 |
+
"step": 3010
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 4.80891719745223,
|
2120 |
+
"grad_norm": 0.2268596887588501,
|
2121 |
+
"learning_rate": 7.722360222350955e-07,
|
2122 |
+
"loss": 0.0196,
|
2123 |
+
"step": 3020
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 4.82484076433121,
|
2127 |
+
"grad_norm": 0.21379084885120392,
|
2128 |
+
"learning_rate": 6.470299979981609e-07,
|
2129 |
+
"loss": 0.0242,
|
2130 |
+
"step": 3030
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 4.840764331210191,
|
2134 |
+
"grad_norm": 0.4038665294647217,
|
2135 |
+
"learning_rate": 5.328584729722197e-07,
|
2136 |
+
"loss": 0.0208,
|
2137 |
+
"step": 3040
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 4.856687898089172,
|
2141 |
+
"grad_norm": 0.1791532039642334,
|
2142 |
+
"learning_rate": 4.297341274586475e-07,
|
2143 |
+
"loss": 0.0248,
|
2144 |
+
"step": 3050
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 4.872611464968153,
|
2148 |
+
"grad_norm": 0.2981935739517212,
|
2149 |
+
"learning_rate": 3.376684148192255e-07,
|
2150 |
+
"loss": 0.0166,
|
2151 |
+
"step": 3060
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 4.888535031847134,
|
2155 |
+
"grad_norm": 0.37263256311416626,
|
2156 |
+
"learning_rate": 2.5667156020408034e-07,
|
2157 |
+
"loss": 0.0161,
|
2158 |
+
"step": 3070
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 4.904458598726115,
|
2162 |
+
"grad_norm": 0.19920985400676727,
|
2163 |
+
"learning_rate": 1.8675255941604797e-07,
|
2164 |
+
"loss": 0.0296,
|
2165 |
+
"step": 3080
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 4.920382165605096,
|
2169 |
+
"grad_norm": 0.17917926609516144,
|
2170 |
+
"learning_rate": 1.2791917791152853e-07,
|
2171 |
+
"loss": 0.024,
|
2172 |
+
"step": 3090
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 4.936305732484076,
|
2176 |
+
"grad_norm": 0.2005498707294464,
|
2177 |
+
"learning_rate": 8.017794993808725e-08,
|
2178 |
+
"loss": 0.0223,
|
2179 |
+
"step": 3100
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 4.952229299363057,
|
2183 |
+
"grad_norm": 0.23752698302268982,
|
2184 |
+
"learning_rate": 4.353417780872393e-08,
|
2185 |
+
"loss": 0.0199,
|
2186 |
+
"step": 3110
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 4.968152866242038,
|
2190 |
+
"grad_norm": 0.20469646155834198,
|
2191 |
+
"learning_rate": 1.7991931312921762e-08,
|
2192 |
+
"loss": 0.021,
|
2193 |
+
"step": 3120
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 4.984076433121019,
|
2197 |
+
"grad_norm": 0.20618374645709991,
|
2198 |
+
"learning_rate": 3.5540472647088707e-09,
|
2199 |
+
"loss": 0.0183,
|
2200 |
+
"step": 3130
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 4.996815286624204,
|
2204 |
+
"step": 3138,
|
2205 |
+
"total_flos": 1.1375719484380992e+17,
|
2206 |
+
"train_loss": 0.04994222255384489,
|
2207 |
+
"train_runtime": 1406.117,
|
2208 |
+
"train_samples_per_second": 35.707,
|
2209 |
+
"train_steps_per_second": 2.232
|
2210 |
+
}
|
2211 |
+
],
|
2212 |
+
"logging_steps": 10,
|
2213 |
+
"max_steps": 3138,
|
2214 |
+
"num_input_tokens_seen": 0,
|
2215 |
+
"num_train_epochs": 5,
|
2216 |
+
"save_steps": 500,
|
2217 |
+
"stateful_callbacks": {
|
2218 |
+
"TrainerControl": {
|
2219 |
+
"args": {
|
2220 |
+
"should_epoch_stop": false,
|
2221 |
+
"should_evaluate": false,
|
2222 |
+
"should_log": false,
|
2223 |
+
"should_save": true,
|
2224 |
+
"should_training_stop": true
|
2225 |
+
},
|
2226 |
+
"attributes": {}
|
2227 |
+
}
|
2228 |
+
},
|
2229 |
+
"total_flos": 1.1375719484380992e+17,
|
2230 |
+
"train_batch_size": 16,
|
2231 |
+
"trial_name": null,
|
2232 |
+
"trial_params": null
|
2233 |
+
}
|