Upload trainer_state.json with huggingface_hub
Browse files- trainer_state.json +2245 -0
trainer_state.json
ADDED
@@ -0,0 +1,2245 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 14.962593516209477,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04987531172069826,
|
13 |
+
"grad_norm": 39.54836654663086,
|
14 |
+
"learning_rate": 1.9940000000000002e-05,
|
15 |
+
"loss": 7.4096,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09975062344139651,
|
20 |
+
"grad_norm": 47.2942008972168,
|
21 |
+
"learning_rate": 1.9873333333333335e-05,
|
22 |
+
"loss": 5.883,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.14962593516209477,
|
27 |
+
"grad_norm": 44.06085968017578,
|
28 |
+
"learning_rate": 1.9806666666666668e-05,
|
29 |
+
"loss": 3.9265,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.19950124688279303,
|
34 |
+
"grad_norm": 19.404735565185547,
|
35 |
+
"learning_rate": 1.974e-05,
|
36 |
+
"loss": 1.9858,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.24937655860349128,
|
41 |
+
"grad_norm": 1.9771770238876343,
|
42 |
+
"learning_rate": 1.9673333333333337e-05,
|
43 |
+
"loss": 1.0943,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.29925187032418954,
|
48 |
+
"grad_norm": 0.6882551312446594,
|
49 |
+
"learning_rate": 1.9606666666666666e-05,
|
50 |
+
"loss": 0.9006,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.3491271820448878,
|
55 |
+
"grad_norm": 0.7775446772575378,
|
56 |
+
"learning_rate": 1.9540000000000003e-05,
|
57 |
+
"loss": 0.8786,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.39900249376558605,
|
62 |
+
"grad_norm": 0.720007598400116,
|
63 |
+
"learning_rate": 1.9473333333333335e-05,
|
64 |
+
"loss": 0.858,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.4488778054862843,
|
69 |
+
"grad_norm": 0.6773384809494019,
|
70 |
+
"learning_rate": 1.940666666666667e-05,
|
71 |
+
"loss": 0.811,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.49875311720698257,
|
76 |
+
"grad_norm": 0.6907929182052612,
|
77 |
+
"learning_rate": 1.934e-05,
|
78 |
+
"loss": 0.7896,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.5486284289276808,
|
83 |
+
"grad_norm": 0.7552163600921631,
|
84 |
+
"learning_rate": 1.9273333333333334e-05,
|
85 |
+
"loss": 0.7589,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.5985037406483791,
|
90 |
+
"grad_norm": 0.7480026483535767,
|
91 |
+
"learning_rate": 1.920666666666667e-05,
|
92 |
+
"loss": 0.7347,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.6483790523690773,
|
97 |
+
"grad_norm": 0.9136413931846619,
|
98 |
+
"learning_rate": 1.914e-05,
|
99 |
+
"loss": 0.7218,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.6982543640897756,
|
104 |
+
"grad_norm": 0.7177766561508179,
|
105 |
+
"learning_rate": 1.9073333333333336e-05,
|
106 |
+
"loss": 0.6983,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.7481296758104738,
|
111 |
+
"grad_norm": 0.7291643023490906,
|
112 |
+
"learning_rate": 1.900666666666667e-05,
|
113 |
+
"loss": 0.6811,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.7980049875311721,
|
118 |
+
"grad_norm": 0.8402264714241028,
|
119 |
+
"learning_rate": 1.894e-05,
|
120 |
+
"loss": 0.6518,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.8478802992518704,
|
125 |
+
"grad_norm": 0.7445259690284729,
|
126 |
+
"learning_rate": 1.8873333333333334e-05,
|
127 |
+
"loss": 0.6621,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.8977556109725686,
|
132 |
+
"grad_norm": 0.7637977004051208,
|
133 |
+
"learning_rate": 1.8806666666666667e-05,
|
134 |
+
"loss": 0.623,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.9476309226932669,
|
139 |
+
"grad_norm": 0.7605411410331726,
|
140 |
+
"learning_rate": 1.8740000000000004e-05,
|
141 |
+
"loss": 0.642,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.9975062344139651,
|
146 |
+
"grad_norm": 0.7474659085273743,
|
147 |
+
"learning_rate": 1.8673333333333333e-05,
|
148 |
+
"loss": 0.6081,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.9975062344139651,
|
153 |
+
"eval_loss": 0.6107227802276611,
|
154 |
+
"eval_runtime": 57.9983,
|
155 |
+
"eval_samples_per_second": 17.294,
|
156 |
+
"eval_steps_per_second": 3.466,
|
157 |
+
"step": 200
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 1.0473815461346634,
|
161 |
+
"grad_norm": 0.7955527901649475,
|
162 |
+
"learning_rate": 1.860666666666667e-05,
|
163 |
+
"loss": 0.6313,
|
164 |
+
"step": 210
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.0972568578553616,
|
168 |
+
"grad_norm": 0.8842599391937256,
|
169 |
+
"learning_rate": 1.8540000000000002e-05,
|
170 |
+
"loss": 0.5837,
|
171 |
+
"step": 220
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 1.14713216957606,
|
175 |
+
"grad_norm": 0.9143279790878296,
|
176 |
+
"learning_rate": 1.8473333333333335e-05,
|
177 |
+
"loss": 0.5668,
|
178 |
+
"step": 230
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 1.1970074812967582,
|
182 |
+
"grad_norm": 0.8860597610473633,
|
183 |
+
"learning_rate": 1.8406666666666668e-05,
|
184 |
+
"loss": 0.565,
|
185 |
+
"step": 240
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.2468827930174564,
|
189 |
+
"grad_norm": 0.8665011525154114,
|
190 |
+
"learning_rate": 1.834e-05,
|
191 |
+
"loss": 0.5611,
|
192 |
+
"step": 250
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.2967581047381547,
|
196 |
+
"grad_norm": 0.8916261196136475,
|
197 |
+
"learning_rate": 1.8273333333333333e-05,
|
198 |
+
"loss": 0.5461,
|
199 |
+
"step": 260
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 1.346633416458853,
|
203 |
+
"grad_norm": 0.8792281150817871,
|
204 |
+
"learning_rate": 1.820666666666667e-05,
|
205 |
+
"loss": 0.5569,
|
206 |
+
"step": 270
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.3965087281795512,
|
210 |
+
"grad_norm": 0.8166815638542175,
|
211 |
+
"learning_rate": 1.8140000000000003e-05,
|
212 |
+
"loss": 0.5435,
|
213 |
+
"step": 280
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 1.4463840399002494,
|
217 |
+
"grad_norm": 0.9711934328079224,
|
218 |
+
"learning_rate": 1.8073333333333335e-05,
|
219 |
+
"loss": 0.5205,
|
220 |
+
"step": 290
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 1.4962593516209477,
|
224 |
+
"grad_norm": 0.8851374983787537,
|
225 |
+
"learning_rate": 1.8006666666666668e-05,
|
226 |
+
"loss": 0.5269,
|
227 |
+
"step": 300
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 1.546134663341646,
|
231 |
+
"grad_norm": 0.940987765789032,
|
232 |
+
"learning_rate": 1.794e-05,
|
233 |
+
"loss": 0.5177,
|
234 |
+
"step": 310
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.5960099750623442,
|
238 |
+
"grad_norm": 1.1342016458511353,
|
239 |
+
"learning_rate": 1.7873333333333337e-05,
|
240 |
+
"loss": 0.4981,
|
241 |
+
"step": 320
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 1.6458852867830425,
|
245 |
+
"grad_norm": 1.0847837924957275,
|
246 |
+
"learning_rate": 1.7806666666666667e-05,
|
247 |
+
"loss": 0.5056,
|
248 |
+
"step": 330
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.6957605985037407,
|
252 |
+
"grad_norm": 0.979576587677002,
|
253 |
+
"learning_rate": 1.7740000000000003e-05,
|
254 |
+
"loss": 0.5048,
|
255 |
+
"step": 340
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 1.745635910224439,
|
259 |
+
"grad_norm": 0.9637285470962524,
|
260 |
+
"learning_rate": 1.7673333333333336e-05,
|
261 |
+
"loss": 0.5076,
|
262 |
+
"step": 350
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 1.7955112219451372,
|
266 |
+
"grad_norm": 0.9592918157577515,
|
267 |
+
"learning_rate": 1.760666666666667e-05,
|
268 |
+
"loss": 0.512,
|
269 |
+
"step": 360
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.8453865336658355,
|
273 |
+
"grad_norm": 0.9521375894546509,
|
274 |
+
"learning_rate": 1.754e-05,
|
275 |
+
"loss": 0.4993,
|
276 |
+
"step": 370
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 1.8952618453865338,
|
280 |
+
"grad_norm": 1.1952577829360962,
|
281 |
+
"learning_rate": 1.7473333333333334e-05,
|
282 |
+
"loss": 0.4933,
|
283 |
+
"step": 380
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 1.945137157107232,
|
287 |
+
"grad_norm": 0.8078787326812744,
|
288 |
+
"learning_rate": 1.7406666666666667e-05,
|
289 |
+
"loss": 0.4894,
|
290 |
+
"step": 390
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 1.9950124688279303,
|
294 |
+
"grad_norm": 1.0912864208221436,
|
295 |
+
"learning_rate": 1.734e-05,
|
296 |
+
"loss": 0.4865,
|
297 |
+
"step": 400
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 2.0,
|
301 |
+
"eval_loss": 0.49822476506233215,
|
302 |
+
"eval_runtime": 57.9997,
|
303 |
+
"eval_samples_per_second": 17.293,
|
304 |
+
"eval_steps_per_second": 3.466,
|
305 |
+
"step": 401
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 2.0448877805486285,
|
309 |
+
"grad_norm": 0.9705982804298401,
|
310 |
+
"learning_rate": 1.7273333333333336e-05,
|
311 |
+
"loss": 0.4976,
|
312 |
+
"step": 410
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 2.0947630922693268,
|
316 |
+
"grad_norm": 1.0686686038970947,
|
317 |
+
"learning_rate": 1.7206666666666666e-05,
|
318 |
+
"loss": 0.4851,
|
319 |
+
"step": 420
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 2.144638403990025,
|
323 |
+
"grad_norm": 1.0422980785369873,
|
324 |
+
"learning_rate": 1.7140000000000002e-05,
|
325 |
+
"loss": 0.4577,
|
326 |
+
"step": 430
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 2.1945137157107233,
|
330 |
+
"grad_norm": 1.0678831338882446,
|
331 |
+
"learning_rate": 1.7073333333333335e-05,
|
332 |
+
"loss": 0.5092,
|
333 |
+
"step": 440
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 2.2443890274314215,
|
337 |
+
"grad_norm": 1.1621687412261963,
|
338 |
+
"learning_rate": 1.7006666666666668e-05,
|
339 |
+
"loss": 0.4897,
|
340 |
+
"step": 450
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 2.29426433915212,
|
344 |
+
"grad_norm": 0.9376991391181946,
|
345 |
+
"learning_rate": 1.694e-05,
|
346 |
+
"loss": 0.4788,
|
347 |
+
"step": 460
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 2.344139650872818,
|
351 |
+
"grad_norm": 1.0832690000534058,
|
352 |
+
"learning_rate": 1.6873333333333333e-05,
|
353 |
+
"loss": 0.4864,
|
354 |
+
"step": 470
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 2.3940149625935163,
|
358 |
+
"grad_norm": 1.1426657438278198,
|
359 |
+
"learning_rate": 1.680666666666667e-05,
|
360 |
+
"loss": 0.4659,
|
361 |
+
"step": 480
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 2.4438902743142146,
|
365 |
+
"grad_norm": 1.016119122505188,
|
366 |
+
"learning_rate": 1.6740000000000002e-05,
|
367 |
+
"loss": 0.4636,
|
368 |
+
"step": 490
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 2.493765586034913,
|
372 |
+
"grad_norm": 1.1347243785858154,
|
373 |
+
"learning_rate": 1.6673333333333335e-05,
|
374 |
+
"loss": 0.4663,
|
375 |
+
"step": 500
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 2.543640897755611,
|
379 |
+
"grad_norm": 1.087796926498413,
|
380 |
+
"learning_rate": 1.6606666666666668e-05,
|
381 |
+
"loss": 0.4729,
|
382 |
+
"step": 510
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 2.5935162094763093,
|
386 |
+
"grad_norm": 1.1080952882766724,
|
387 |
+
"learning_rate": 1.654e-05,
|
388 |
+
"loss": 0.4803,
|
389 |
+
"step": 520
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 2.6433915211970076,
|
393 |
+
"grad_norm": 0.9999821186065674,
|
394 |
+
"learning_rate": 1.6473333333333334e-05,
|
395 |
+
"loss": 0.4872,
|
396 |
+
"step": 530
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 2.693266832917706,
|
400 |
+
"grad_norm": 1.2594393491744995,
|
401 |
+
"learning_rate": 1.640666666666667e-05,
|
402 |
+
"loss": 0.4708,
|
403 |
+
"step": 540
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 2.743142144638404,
|
407 |
+
"grad_norm": 1.012904167175293,
|
408 |
+
"learning_rate": 1.634e-05,
|
409 |
+
"loss": 0.46,
|
410 |
+
"step": 550
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 2.7930174563591024,
|
414 |
+
"grad_norm": 1.052252173423767,
|
415 |
+
"learning_rate": 1.6273333333333336e-05,
|
416 |
+
"loss": 0.4664,
|
417 |
+
"step": 560
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 2.8428927680798006,
|
421 |
+
"grad_norm": 1.2155933380126953,
|
422 |
+
"learning_rate": 1.620666666666667e-05,
|
423 |
+
"loss": 0.4518,
|
424 |
+
"step": 570
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 2.892768079800499,
|
428 |
+
"grad_norm": 1.064907193183899,
|
429 |
+
"learning_rate": 1.614e-05,
|
430 |
+
"loss": 0.4933,
|
431 |
+
"step": 580
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 2.942643391521197,
|
435 |
+
"grad_norm": 1.0846999883651733,
|
436 |
+
"learning_rate": 1.6073333333333334e-05,
|
437 |
+
"loss": 0.4724,
|
438 |
+
"step": 590
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 2.9925187032418954,
|
442 |
+
"grad_norm": 1.2878086566925049,
|
443 |
+
"learning_rate": 1.6006666666666667e-05,
|
444 |
+
"loss": 0.4895,
|
445 |
+
"step": 600
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 2.997506234413965,
|
449 |
+
"eval_loss": 0.47463858127593994,
|
450 |
+
"eval_runtime": 57.9983,
|
451 |
+
"eval_samples_per_second": 17.294,
|
452 |
+
"eval_steps_per_second": 3.466,
|
453 |
+
"step": 601
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 3.0423940149625937,
|
457 |
+
"grad_norm": 1.141946792602539,
|
458 |
+
"learning_rate": 1.5940000000000003e-05,
|
459 |
+
"loss": 0.4808,
|
460 |
+
"step": 610
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 3.092269326683292,
|
464 |
+
"grad_norm": 1.1112643480300903,
|
465 |
+
"learning_rate": 1.5873333333333333e-05,
|
466 |
+
"loss": 0.4525,
|
467 |
+
"step": 620
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 3.14214463840399,
|
471 |
+
"grad_norm": 1.0057584047317505,
|
472 |
+
"learning_rate": 1.580666666666667e-05,
|
473 |
+
"loss": 0.4699,
|
474 |
+
"step": 630
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 3.1920199501246884,
|
478 |
+
"grad_norm": 1.3252357244491577,
|
479 |
+
"learning_rate": 1.5740000000000002e-05,
|
480 |
+
"loss": 0.4631,
|
481 |
+
"step": 640
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 3.2418952618453867,
|
485 |
+
"grad_norm": 1.1567648649215698,
|
486 |
+
"learning_rate": 1.5673333333333335e-05,
|
487 |
+
"loss": 0.4559,
|
488 |
+
"step": 650
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 3.291770573566085,
|
492 |
+
"grad_norm": 1.0659315586090088,
|
493 |
+
"learning_rate": 1.5606666666666667e-05,
|
494 |
+
"loss": 0.4575,
|
495 |
+
"step": 660
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 3.341645885286783,
|
499 |
+
"grad_norm": 1.1061469316482544,
|
500 |
+
"learning_rate": 1.554e-05,
|
501 |
+
"loss": 0.4592,
|
502 |
+
"step": 670
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 3.3915211970074814,
|
506 |
+
"grad_norm": 1.342760443687439,
|
507 |
+
"learning_rate": 1.5473333333333333e-05,
|
508 |
+
"loss": 0.4459,
|
509 |
+
"step": 680
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 3.4413965087281797,
|
513 |
+
"grad_norm": 1.080640196800232,
|
514 |
+
"learning_rate": 1.5406666666666666e-05,
|
515 |
+
"loss": 0.4801,
|
516 |
+
"step": 690
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 3.491271820448878,
|
520 |
+
"grad_norm": 1.1660523414611816,
|
521 |
+
"learning_rate": 1.5340000000000002e-05,
|
522 |
+
"loss": 0.4536,
|
523 |
+
"step": 700
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 3.541147132169576,
|
527 |
+
"grad_norm": 1.0911084413528442,
|
528 |
+
"learning_rate": 1.5273333333333335e-05,
|
529 |
+
"loss": 0.4536,
|
530 |
+
"step": 710
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 3.5910224438902745,
|
534 |
+
"grad_norm": 1.1449761390686035,
|
535 |
+
"learning_rate": 1.5206666666666668e-05,
|
536 |
+
"loss": 0.4663,
|
537 |
+
"step": 720
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 3.6408977556109727,
|
541 |
+
"grad_norm": 1.0596632957458496,
|
542 |
+
"learning_rate": 1.514e-05,
|
543 |
+
"loss": 0.4633,
|
544 |
+
"step": 730
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 3.690773067331671,
|
548 |
+
"grad_norm": 1.1071261167526245,
|
549 |
+
"learning_rate": 1.5073333333333335e-05,
|
550 |
+
"loss": 0.4579,
|
551 |
+
"step": 740
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 3.7406483790523692,
|
555 |
+
"grad_norm": 1.3376258611679077,
|
556 |
+
"learning_rate": 1.5006666666666666e-05,
|
557 |
+
"loss": 0.4526,
|
558 |
+
"step": 750
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 3.7905236907730675,
|
562 |
+
"grad_norm": 1.2122935056686401,
|
563 |
+
"learning_rate": 1.4940000000000001e-05,
|
564 |
+
"loss": 0.4602,
|
565 |
+
"step": 760
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 3.8403990024937658,
|
569 |
+
"grad_norm": 1.1372263431549072,
|
570 |
+
"learning_rate": 1.4873333333333335e-05,
|
571 |
+
"loss": 0.4733,
|
572 |
+
"step": 770
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 3.890274314214464,
|
576 |
+
"grad_norm": 1.1192553043365479,
|
577 |
+
"learning_rate": 1.4806666666666667e-05,
|
578 |
+
"loss": 0.466,
|
579 |
+
"step": 780
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 3.9401496259351623,
|
583 |
+
"grad_norm": 1.1695116758346558,
|
584 |
+
"learning_rate": 1.4740000000000001e-05,
|
585 |
+
"loss": 0.4485,
|
586 |
+
"step": 790
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 3.9900249376558605,
|
590 |
+
"grad_norm": 1.2374085187911987,
|
591 |
+
"learning_rate": 1.4673333333333336e-05,
|
592 |
+
"loss": 0.4428,
|
593 |
+
"step": 800
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 4.0,
|
597 |
+
"eval_loss": 0.4639199376106262,
|
598 |
+
"eval_runtime": 58.0007,
|
599 |
+
"eval_samples_per_second": 17.293,
|
600 |
+
"eval_steps_per_second": 3.465,
|
601 |
+
"step": 802
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 4.039900249376559,
|
605 |
+
"grad_norm": 1.2248201370239258,
|
606 |
+
"learning_rate": 1.4606666666666667e-05,
|
607 |
+
"loss": 0.4765,
|
608 |
+
"step": 810
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 4.089775561097257,
|
612 |
+
"grad_norm": 1.0709633827209473,
|
613 |
+
"learning_rate": 1.4540000000000001e-05,
|
614 |
+
"loss": 0.458,
|
615 |
+
"step": 820
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 4.139650872817955,
|
619 |
+
"grad_norm": 1.245808482170105,
|
620 |
+
"learning_rate": 1.4473333333333334e-05,
|
621 |
+
"loss": 0.4413,
|
622 |
+
"step": 830
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 4.1895261845386536,
|
626 |
+
"grad_norm": 1.0952578783035278,
|
627 |
+
"learning_rate": 1.4406666666666669e-05,
|
628 |
+
"loss": 0.4466,
|
629 |
+
"step": 840
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 4.239401496259352,
|
633 |
+
"grad_norm": 1.3013060092926025,
|
634 |
+
"learning_rate": 1.434e-05,
|
635 |
+
"loss": 0.4579,
|
636 |
+
"step": 850
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 4.28927680798005,
|
640 |
+
"grad_norm": 1.40675687789917,
|
641 |
+
"learning_rate": 1.4273333333333334e-05,
|
642 |
+
"loss": 0.4547,
|
643 |
+
"step": 860
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 4.339152119700748,
|
647 |
+
"grad_norm": 1.0993843078613281,
|
648 |
+
"learning_rate": 1.4206666666666669e-05,
|
649 |
+
"loss": 0.4326,
|
650 |
+
"step": 870
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 4.389027431421447,
|
654 |
+
"grad_norm": 1.279954195022583,
|
655 |
+
"learning_rate": 1.414e-05,
|
656 |
+
"loss": 0.4528,
|
657 |
+
"step": 880
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 4.438902743142145,
|
661 |
+
"grad_norm": 1.1767985820770264,
|
662 |
+
"learning_rate": 1.4073333333333335e-05,
|
663 |
+
"loss": 0.4678,
|
664 |
+
"step": 890
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 4.488778054862843,
|
668 |
+
"grad_norm": 1.2366374731063843,
|
669 |
+
"learning_rate": 1.400666666666667e-05,
|
670 |
+
"loss": 0.4383,
|
671 |
+
"step": 900
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 4.538653366583541,
|
675 |
+
"grad_norm": 1.3890389204025269,
|
676 |
+
"learning_rate": 1.394e-05,
|
677 |
+
"loss": 0.4586,
|
678 |
+
"step": 910
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 4.58852867830424,
|
682 |
+
"grad_norm": 1.288946509361267,
|
683 |
+
"learning_rate": 1.3873333333333335e-05,
|
684 |
+
"loss": 0.4329,
|
685 |
+
"step": 920
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 4.638403990024938,
|
689 |
+
"grad_norm": 1.5377354621887207,
|
690 |
+
"learning_rate": 1.3806666666666668e-05,
|
691 |
+
"loss": 0.4524,
|
692 |
+
"step": 930
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 4.688279301745636,
|
696 |
+
"grad_norm": 1.1805988550186157,
|
697 |
+
"learning_rate": 1.3740000000000002e-05,
|
698 |
+
"loss": 0.4421,
|
699 |
+
"step": 940
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 4.738154613466334,
|
703 |
+
"grad_norm": 1.2433724403381348,
|
704 |
+
"learning_rate": 1.3673333333333333e-05,
|
705 |
+
"loss": 0.4463,
|
706 |
+
"step": 950
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 4.788029925187033,
|
710 |
+
"grad_norm": 1.5534576177597046,
|
711 |
+
"learning_rate": 1.3606666666666668e-05,
|
712 |
+
"loss": 0.4529,
|
713 |
+
"step": 960
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 4.837905236907731,
|
717 |
+
"grad_norm": 1.1943343877792358,
|
718 |
+
"learning_rate": 1.3540000000000003e-05,
|
719 |
+
"loss": 0.4342,
|
720 |
+
"step": 970
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 4.887780548628429,
|
724 |
+
"grad_norm": 1.4089887142181396,
|
725 |
+
"learning_rate": 1.3473333333333334e-05,
|
726 |
+
"loss": 0.4474,
|
727 |
+
"step": 980
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 4.937655860349127,
|
731 |
+
"grad_norm": 1.2032736539840698,
|
732 |
+
"learning_rate": 1.3406666666666668e-05,
|
733 |
+
"loss": 0.4367,
|
734 |
+
"step": 990
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 4.987531172069826,
|
738 |
+
"grad_norm": 1.2193266153335571,
|
739 |
+
"learning_rate": 1.3340000000000001e-05,
|
740 |
+
"loss": 0.4617,
|
741 |
+
"step": 1000
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 4.997506234413965,
|
745 |
+
"eval_loss": 0.457111656665802,
|
746 |
+
"eval_runtime": 58.0103,
|
747 |
+
"eval_samples_per_second": 17.29,
|
748 |
+
"eval_steps_per_second": 3.465,
|
749 |
+
"step": 1002
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 5.037406483790524,
|
753 |
+
"grad_norm": 1.2309563159942627,
|
754 |
+
"learning_rate": 1.3273333333333334e-05,
|
755 |
+
"loss": 0.4802,
|
756 |
+
"step": 1010
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 5.087281795511222,
|
760 |
+
"grad_norm": 1.3006610870361328,
|
761 |
+
"learning_rate": 1.3206666666666668e-05,
|
762 |
+
"loss": 0.4304,
|
763 |
+
"step": 1020
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 5.13715710723192,
|
767 |
+
"grad_norm": 1.1411958932876587,
|
768 |
+
"learning_rate": 1.3140000000000001e-05,
|
769 |
+
"loss": 0.4379,
|
770 |
+
"step": 1030
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 5.187032418952619,
|
774 |
+
"grad_norm": 1.489011287689209,
|
775 |
+
"learning_rate": 1.3073333333333334e-05,
|
776 |
+
"loss": 0.4377,
|
777 |
+
"step": 1040
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 5.236907730673317,
|
781 |
+
"grad_norm": 1.127456784248352,
|
782 |
+
"learning_rate": 1.3006666666666667e-05,
|
783 |
+
"loss": 0.4401,
|
784 |
+
"step": 1050
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 5.286783042394015,
|
788 |
+
"grad_norm": 1.1423261165618896,
|
789 |
+
"learning_rate": 1.2940000000000001e-05,
|
790 |
+
"loss": 0.4195,
|
791 |
+
"step": 1060
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 5.3366583541147135,
|
795 |
+
"grad_norm": 1.2664945125579834,
|
796 |
+
"learning_rate": 1.2873333333333336e-05,
|
797 |
+
"loss": 0.4421,
|
798 |
+
"step": 1070
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 5.386533665835412,
|
802 |
+
"grad_norm": 1.3833181858062744,
|
803 |
+
"learning_rate": 1.2806666666666667e-05,
|
804 |
+
"loss": 0.4493,
|
805 |
+
"step": 1080
|
806 |
+
},
|
807 |
+
{
|
808 |
+
"epoch": 5.43640897755611,
|
809 |
+
"grad_norm": 1.2505003213882446,
|
810 |
+
"learning_rate": 1.2740000000000002e-05,
|
811 |
+
"loss": 0.4322,
|
812 |
+
"step": 1090
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 5.486284289276808,
|
816 |
+
"grad_norm": 1.1786164045333862,
|
817 |
+
"learning_rate": 1.2673333333333335e-05,
|
818 |
+
"loss": 0.4474,
|
819 |
+
"step": 1100
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 5.5361596009975065,
|
823 |
+
"grad_norm": 1.3222135305404663,
|
824 |
+
"learning_rate": 1.2606666666666667e-05,
|
825 |
+
"loss": 0.4434,
|
826 |
+
"step": 1110
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 5.586034912718205,
|
830 |
+
"grad_norm": 1.1747450828552246,
|
831 |
+
"learning_rate": 1.254e-05,
|
832 |
+
"loss": 0.4577,
|
833 |
+
"step": 1120
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 5.635910224438903,
|
837 |
+
"grad_norm": 1.299611210823059,
|
838 |
+
"learning_rate": 1.2473333333333335e-05,
|
839 |
+
"loss": 0.4306,
|
840 |
+
"step": 1130
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 5.685785536159601,
|
844 |
+
"grad_norm": 1.353705883026123,
|
845 |
+
"learning_rate": 1.2406666666666668e-05,
|
846 |
+
"loss": 0.4438,
|
847 |
+
"step": 1140
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 5.7356608478802995,
|
851 |
+
"grad_norm": 1.195237398147583,
|
852 |
+
"learning_rate": 1.234e-05,
|
853 |
+
"loss": 0.4203,
|
854 |
+
"step": 1150
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 5.785536159600998,
|
858 |
+
"grad_norm": 1.4759230613708496,
|
859 |
+
"learning_rate": 1.2273333333333335e-05,
|
860 |
+
"loss": 0.4399,
|
861 |
+
"step": 1160
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 5.835411471321696,
|
865 |
+
"grad_norm": 1.1856341361999512,
|
866 |
+
"learning_rate": 1.2206666666666666e-05,
|
867 |
+
"loss": 0.4566,
|
868 |
+
"step": 1170
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 5.885286783042394,
|
872 |
+
"grad_norm": 1.369195818901062,
|
873 |
+
"learning_rate": 1.214e-05,
|
874 |
+
"loss": 0.4568,
|
875 |
+
"step": 1180
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 5.9351620947630925,
|
879 |
+
"grad_norm": 1.2702898979187012,
|
880 |
+
"learning_rate": 1.2073333333333335e-05,
|
881 |
+
"loss": 0.4372,
|
882 |
+
"step": 1190
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 5.985037406483791,
|
886 |
+
"grad_norm": 1.5332574844360352,
|
887 |
+
"learning_rate": 1.2006666666666668e-05,
|
888 |
+
"loss": 0.454,
|
889 |
+
"step": 1200
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 6.0,
|
893 |
+
"eval_loss": 0.45269879698753357,
|
894 |
+
"eval_runtime": 57.8329,
|
895 |
+
"eval_samples_per_second": 17.343,
|
896 |
+
"eval_steps_per_second": 3.476,
|
897 |
+
"step": 1203
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 6.034912718204489,
|
901 |
+
"grad_norm": 1.502089500427246,
|
902 |
+
"learning_rate": 1.1940000000000001e-05,
|
903 |
+
"loss": 0.4509,
|
904 |
+
"step": 1210
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 6.084788029925187,
|
908 |
+
"grad_norm": 1.1866357326507568,
|
909 |
+
"learning_rate": 1.1873333333333334e-05,
|
910 |
+
"loss": 0.4315,
|
911 |
+
"step": 1220
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 6.134663341645886,
|
915 |
+
"grad_norm": 1.2971949577331543,
|
916 |
+
"learning_rate": 1.1806666666666668e-05,
|
917 |
+
"loss": 0.4378,
|
918 |
+
"step": 1230
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 6.184538653366584,
|
922 |
+
"grad_norm": 1.3105353116989136,
|
923 |
+
"learning_rate": 1.1740000000000001e-05,
|
924 |
+
"loss": 0.4462,
|
925 |
+
"step": 1240
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 6.234413965087282,
|
929 |
+
"grad_norm": 1.6913713216781616,
|
930 |
+
"learning_rate": 1.1673333333333334e-05,
|
931 |
+
"loss": 0.4273,
|
932 |
+
"step": 1250
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 6.28428927680798,
|
936 |
+
"grad_norm": 1.2743034362792969,
|
937 |
+
"learning_rate": 1.1606666666666668e-05,
|
938 |
+
"loss": 0.4308,
|
939 |
+
"step": 1260
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 6.334164588528679,
|
943 |
+
"grad_norm": 1.2764904499053955,
|
944 |
+
"learning_rate": 1.154e-05,
|
945 |
+
"loss": 0.4416,
|
946 |
+
"step": 1270
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 6.384039900249377,
|
950 |
+
"grad_norm": 1.2375209331512451,
|
951 |
+
"learning_rate": 1.1473333333333334e-05,
|
952 |
+
"loss": 0.4279,
|
953 |
+
"step": 1280
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 6.433915211970075,
|
957 |
+
"grad_norm": 1.2813770771026611,
|
958 |
+
"learning_rate": 1.1406666666666669e-05,
|
959 |
+
"loss": 0.4318,
|
960 |
+
"step": 1290
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 6.483790523690773,
|
964 |
+
"grad_norm": 1.413662314414978,
|
965 |
+
"learning_rate": 1.134e-05,
|
966 |
+
"loss": 0.4299,
|
967 |
+
"step": 1300
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 6.533665835411472,
|
971 |
+
"grad_norm": 1.4377459287643433,
|
972 |
+
"learning_rate": 1.1273333333333334e-05,
|
973 |
+
"loss": 0.4538,
|
974 |
+
"step": 1310
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 6.58354114713217,
|
978 |
+
"grad_norm": 1.280629277229309,
|
979 |
+
"learning_rate": 1.1206666666666667e-05,
|
980 |
+
"loss": 0.4305,
|
981 |
+
"step": 1320
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 6.633416458852868,
|
985 |
+
"grad_norm": 1.4439893960952759,
|
986 |
+
"learning_rate": 1.1140000000000002e-05,
|
987 |
+
"loss": 0.4382,
|
988 |
+
"step": 1330
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 6.683291770573566,
|
992 |
+
"grad_norm": 1.290280818939209,
|
993 |
+
"learning_rate": 1.1073333333333333e-05,
|
994 |
+
"loss": 0.4395,
|
995 |
+
"step": 1340
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 6.733167082294265,
|
999 |
+
"grad_norm": 1.7553201913833618,
|
1000 |
+
"learning_rate": 1.1006666666666667e-05,
|
1001 |
+
"loss": 0.4633,
|
1002 |
+
"step": 1350
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 6.783042394014963,
|
1006 |
+
"grad_norm": 1.3317337036132812,
|
1007 |
+
"learning_rate": 1.0940000000000002e-05,
|
1008 |
+
"loss": 0.4396,
|
1009 |
+
"step": 1360
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 6.832917705735661,
|
1013 |
+
"grad_norm": 1.4611096382141113,
|
1014 |
+
"learning_rate": 1.0873333333333333e-05,
|
1015 |
+
"loss": 0.4306,
|
1016 |
+
"step": 1370
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 6.882793017456359,
|
1020 |
+
"grad_norm": 1.461767554283142,
|
1021 |
+
"learning_rate": 1.0806666666666668e-05,
|
1022 |
+
"loss": 0.4363,
|
1023 |
+
"step": 1380
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 6.932668329177058,
|
1027 |
+
"grad_norm": 1.2594436407089233,
|
1028 |
+
"learning_rate": 1.0740000000000002e-05,
|
1029 |
+
"loss": 0.4311,
|
1030 |
+
"step": 1390
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 6.982543640897756,
|
1034 |
+
"grad_norm": 1.339422345161438,
|
1035 |
+
"learning_rate": 1.0673333333333333e-05,
|
1036 |
+
"loss": 0.4359,
|
1037 |
+
"step": 1400
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 6.997506234413965,
|
1041 |
+
"eval_loss": 0.4493270516395569,
|
1042 |
+
"eval_runtime": 57.825,
|
1043 |
+
"eval_samples_per_second": 17.345,
|
1044 |
+
"eval_steps_per_second": 3.476,
|
1045 |
+
"step": 1403
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 7.032418952618454,
|
1049 |
+
"grad_norm": 1.5040308237075806,
|
1050 |
+
"learning_rate": 1.0606666666666668e-05,
|
1051 |
+
"loss": 0.4513,
|
1052 |
+
"step": 1410
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 7.082294264339152,
|
1056 |
+
"grad_norm": 1.3062398433685303,
|
1057 |
+
"learning_rate": 1.054e-05,
|
1058 |
+
"loss": 0.4286,
|
1059 |
+
"step": 1420
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 7.132169576059851,
|
1063 |
+
"grad_norm": 1.2743724584579468,
|
1064 |
+
"learning_rate": 1.0473333333333334e-05,
|
1065 |
+
"loss": 0.4308,
|
1066 |
+
"step": 1430
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 7.182044887780549,
|
1070 |
+
"grad_norm": 1.335893154144287,
|
1071 |
+
"learning_rate": 1.0406666666666666e-05,
|
1072 |
+
"loss": 0.4467,
|
1073 |
+
"step": 1440
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 7.231920199501247,
|
1077 |
+
"grad_norm": 1.5432289838790894,
|
1078 |
+
"learning_rate": 1.0340000000000001e-05,
|
1079 |
+
"loss": 0.4249,
|
1080 |
+
"step": 1450
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 7.2817955112219455,
|
1084 |
+
"grad_norm": 1.3191583156585693,
|
1085 |
+
"learning_rate": 1.0273333333333335e-05,
|
1086 |
+
"loss": 0.4308,
|
1087 |
+
"step": 1460
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 7.331670822942644,
|
1091 |
+
"grad_norm": 1.4070515632629395,
|
1092 |
+
"learning_rate": 1.0206666666666667e-05,
|
1093 |
+
"loss": 0.4346,
|
1094 |
+
"step": 1470
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 7.381546134663342,
|
1098 |
+
"grad_norm": 1.2089998722076416,
|
1099 |
+
"learning_rate": 1.0140000000000001e-05,
|
1100 |
+
"loss": 0.4261,
|
1101 |
+
"step": 1480
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 7.43142144638404,
|
1105 |
+
"grad_norm": 1.349908709526062,
|
1106 |
+
"learning_rate": 1.0073333333333336e-05,
|
1107 |
+
"loss": 0.4506,
|
1108 |
+
"step": 1490
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 7.4812967581047385,
|
1112 |
+
"grad_norm": 1.3772706985473633,
|
1113 |
+
"learning_rate": 1.0006666666666667e-05,
|
1114 |
+
"loss": 0.4194,
|
1115 |
+
"step": 1500
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 7.531172069825437,
|
1119 |
+
"grad_norm": 1.265548586845398,
|
1120 |
+
"learning_rate": 9.940000000000001e-06,
|
1121 |
+
"loss": 0.4109,
|
1122 |
+
"step": 1510
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 7.581047381546135,
|
1126 |
+
"grad_norm": 1.4737778902053833,
|
1127 |
+
"learning_rate": 9.873333333333334e-06,
|
1128 |
+
"loss": 0.4335,
|
1129 |
+
"step": 1520
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 7.630922693266833,
|
1133 |
+
"grad_norm": 1.2900265455245972,
|
1134 |
+
"learning_rate": 9.806666666666667e-06,
|
1135 |
+
"loss": 0.4489,
|
1136 |
+
"step": 1530
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 7.6807980049875315,
|
1140 |
+
"grad_norm": 1.3885109424591064,
|
1141 |
+
"learning_rate": 9.74e-06,
|
1142 |
+
"loss": 0.4246,
|
1143 |
+
"step": 1540
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 7.73067331670823,
|
1147 |
+
"grad_norm": 1.4786447286605835,
|
1148 |
+
"learning_rate": 9.673333333333334e-06,
|
1149 |
+
"loss": 0.4307,
|
1150 |
+
"step": 1550
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 7.780548628428928,
|
1154 |
+
"grad_norm": 1.4943320751190186,
|
1155 |
+
"learning_rate": 9.606666666666667e-06,
|
1156 |
+
"loss": 0.4272,
|
1157 |
+
"step": 1560
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 7.830423940149626,
|
1161 |
+
"grad_norm": 1.2281179428100586,
|
1162 |
+
"learning_rate": 9.54e-06,
|
1163 |
+
"loss": 0.4361,
|
1164 |
+
"step": 1570
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 7.8802992518703245,
|
1168 |
+
"grad_norm": 1.4099763631820679,
|
1169 |
+
"learning_rate": 9.473333333333335e-06,
|
1170 |
+
"loss": 0.4328,
|
1171 |
+
"step": 1580
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 7.930174563591023,
|
1175 |
+
"grad_norm": 1.2165679931640625,
|
1176 |
+
"learning_rate": 9.406666666666668e-06,
|
1177 |
+
"loss": 0.4325,
|
1178 |
+
"step": 1590
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 7.980049875311721,
|
1182 |
+
"grad_norm": 1.5678939819335938,
|
1183 |
+
"learning_rate": 9.340000000000002e-06,
|
1184 |
+
"loss": 0.4431,
|
1185 |
+
"step": 1600
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 8.0,
|
1189 |
+
"eval_loss": 0.4465142786502838,
|
1190 |
+
"eval_runtime": 57.9689,
|
1191 |
+
"eval_samples_per_second": 17.302,
|
1192 |
+
"eval_steps_per_second": 3.467,
|
1193 |
+
"step": 1604
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 8.029925187032418,
|
1197 |
+
"grad_norm": 1.3903255462646484,
|
1198 |
+
"learning_rate": 9.273333333333335e-06,
|
1199 |
+
"loss": 0.4489,
|
1200 |
+
"step": 1610
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 8.079800498753118,
|
1204 |
+
"grad_norm": 1.4039775133132935,
|
1205 |
+
"learning_rate": 9.206666666666668e-06,
|
1206 |
+
"loss": 0.4282,
|
1207 |
+
"step": 1620
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 8.129675810473815,
|
1211 |
+
"grad_norm": 1.238571286201477,
|
1212 |
+
"learning_rate": 9.14e-06,
|
1213 |
+
"loss": 0.4352,
|
1214 |
+
"step": 1630
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 8.179551122194514,
|
1218 |
+
"grad_norm": 1.418980360031128,
|
1219 |
+
"learning_rate": 9.073333333333333e-06,
|
1220 |
+
"loss": 0.4232,
|
1221 |
+
"step": 1640
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 8.229426433915211,
|
1225 |
+
"grad_norm": 1.362851619720459,
|
1226 |
+
"learning_rate": 9.006666666666666e-06,
|
1227 |
+
"loss": 0.4251,
|
1228 |
+
"step": 1650
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 8.27930174563591,
|
1232 |
+
"grad_norm": 1.3849656581878662,
|
1233 |
+
"learning_rate": 8.94e-06,
|
1234 |
+
"loss": 0.4367,
|
1235 |
+
"step": 1660
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 8.329177057356608,
|
1239 |
+
"grad_norm": 1.4366765022277832,
|
1240 |
+
"learning_rate": 8.873333333333334e-06,
|
1241 |
+
"loss": 0.4348,
|
1242 |
+
"step": 1670
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 8.379052369077307,
|
1246 |
+
"grad_norm": 1.3090085983276367,
|
1247 |
+
"learning_rate": 8.806666666666668e-06,
|
1248 |
+
"loss": 0.4349,
|
1249 |
+
"step": 1680
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 8.428927680798004,
|
1253 |
+
"grad_norm": 1.3340786695480347,
|
1254 |
+
"learning_rate": 8.740000000000001e-06,
|
1255 |
+
"loss": 0.4292,
|
1256 |
+
"step": 1690
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 8.478802992518704,
|
1260 |
+
"grad_norm": 1.224572777748108,
|
1261 |
+
"learning_rate": 8.673333333333334e-06,
|
1262 |
+
"loss": 0.4225,
|
1263 |
+
"step": 1700
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 8.528678304239401,
|
1267 |
+
"grad_norm": 1.3066871166229248,
|
1268 |
+
"learning_rate": 8.606666666666668e-06,
|
1269 |
+
"loss": 0.4295,
|
1270 |
+
"step": 1710
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 8.5785536159601,
|
1274 |
+
"grad_norm": 1.3138604164123535,
|
1275 |
+
"learning_rate": 8.540000000000001e-06,
|
1276 |
+
"loss": 0.4249,
|
1277 |
+
"step": 1720
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 8.628428927680797,
|
1281 |
+
"grad_norm": 1.3178144693374634,
|
1282 |
+
"learning_rate": 8.473333333333334e-06,
|
1283 |
+
"loss": 0.4295,
|
1284 |
+
"step": 1730
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 8.678304239401497,
|
1288 |
+
"grad_norm": 1.5216317176818848,
|
1289 |
+
"learning_rate": 8.406666666666667e-06,
|
1290 |
+
"loss": 0.4249,
|
1291 |
+
"step": 1740
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 8.728179551122194,
|
1295 |
+
"grad_norm": 1.3315293788909912,
|
1296 |
+
"learning_rate": 8.34e-06,
|
1297 |
+
"loss": 0.4156,
|
1298 |
+
"step": 1750
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 8.778054862842893,
|
1302 |
+
"grad_norm": 1.613593578338623,
|
1303 |
+
"learning_rate": 8.273333333333334e-06,
|
1304 |
+
"loss": 0.418,
|
1305 |
+
"step": 1760
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 8.82793017456359,
|
1309 |
+
"grad_norm": 1.2980856895446777,
|
1310 |
+
"learning_rate": 8.206666666666667e-06,
|
1311 |
+
"loss": 0.4234,
|
1312 |
+
"step": 1770
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 8.87780548628429,
|
1316 |
+
"grad_norm": 1.4451056718826294,
|
1317 |
+
"learning_rate": 8.14e-06,
|
1318 |
+
"loss": 0.4427,
|
1319 |
+
"step": 1780
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 8.927680798004987,
|
1323 |
+
"grad_norm": 1.3692457675933838,
|
1324 |
+
"learning_rate": 8.073333333333335e-06,
|
1325 |
+
"loss": 0.4394,
|
1326 |
+
"step": 1790
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 8.977556109725686,
|
1330 |
+
"grad_norm": 1.4997522830963135,
|
1331 |
+
"learning_rate": 8.006666666666667e-06,
|
1332 |
+
"loss": 0.4299,
|
1333 |
+
"step": 1800
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 8.997506234413965,
|
1337 |
+
"eval_loss": 0.4446782171726227,
|
1338 |
+
"eval_runtime": 57.956,
|
1339 |
+
"eval_samples_per_second": 17.306,
|
1340 |
+
"eval_steps_per_second": 3.468,
|
1341 |
+
"step": 1804
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 9.027431421446384,
|
1345 |
+
"grad_norm": 1.4114794731140137,
|
1346 |
+
"learning_rate": 7.94e-06,
|
1347 |
+
"loss": 0.4409,
|
1348 |
+
"step": 1810
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"epoch": 9.077306733167083,
|
1352 |
+
"grad_norm": 1.2984321117401123,
|
1353 |
+
"learning_rate": 7.873333333333335e-06,
|
1354 |
+
"loss": 0.4091,
|
1355 |
+
"step": 1820
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 9.12718204488778,
|
1359 |
+
"grad_norm": 1.3625205755233765,
|
1360 |
+
"learning_rate": 7.806666666666668e-06,
|
1361 |
+
"loss": 0.4224,
|
1362 |
+
"step": 1830
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 9.17705735660848,
|
1366 |
+
"grad_norm": 1.4072176218032837,
|
1367 |
+
"learning_rate": 7.74e-06,
|
1368 |
+
"loss": 0.4416,
|
1369 |
+
"step": 1840
|
1370 |
+
},
|
1371 |
+
{
|
1372 |
+
"epoch": 9.226932668329177,
|
1373 |
+
"grad_norm": 1.2547061443328857,
|
1374 |
+
"learning_rate": 7.673333333333333e-06,
|
1375 |
+
"loss": 0.4228,
|
1376 |
+
"step": 1850
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 9.276807980049876,
|
1380 |
+
"grad_norm": 1.5764844417572021,
|
1381 |
+
"learning_rate": 7.606666666666668e-06,
|
1382 |
+
"loss": 0.4346,
|
1383 |
+
"step": 1860
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 9.326683291770573,
|
1387 |
+
"grad_norm": 1.4493110179901123,
|
1388 |
+
"learning_rate": 7.540000000000001e-06,
|
1389 |
+
"loss": 0.438,
|
1390 |
+
"step": 1870
|
1391 |
+
},
|
1392 |
+
{
|
1393 |
+
"epoch": 9.376558603491272,
|
1394 |
+
"grad_norm": 1.3886995315551758,
|
1395 |
+
"learning_rate": 7.4733333333333335e-06,
|
1396 |
+
"loss": 0.4282,
|
1397 |
+
"step": 1880
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 9.42643391521197,
|
1401 |
+
"grad_norm": 1.5260852575302124,
|
1402 |
+
"learning_rate": 7.406666666666667e-06,
|
1403 |
+
"loss": 0.4267,
|
1404 |
+
"step": 1890
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 9.476309226932669,
|
1408 |
+
"grad_norm": 1.7208826541900635,
|
1409 |
+
"learning_rate": 7.340000000000001e-06,
|
1410 |
+
"loss": 0.4195,
|
1411 |
+
"step": 1900
|
1412 |
+
},
|
1413 |
+
{
|
1414 |
+
"epoch": 9.526184538653366,
|
1415 |
+
"grad_norm": 1.3822261095046997,
|
1416 |
+
"learning_rate": 7.2733333333333346e-06,
|
1417 |
+
"loss": 0.4254,
|
1418 |
+
"step": 1910
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 9.576059850374065,
|
1422 |
+
"grad_norm": 1.6141988039016724,
|
1423 |
+
"learning_rate": 7.206666666666667e-06,
|
1424 |
+
"loss": 0.4165,
|
1425 |
+
"step": 1920
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 9.625935162094763,
|
1429 |
+
"grad_norm": 1.4055383205413818,
|
1430 |
+
"learning_rate": 7.14e-06,
|
1431 |
+
"loss": 0.4149,
|
1432 |
+
"step": 1930
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 9.675810473815462,
|
1436 |
+
"grad_norm": 1.3142189979553223,
|
1437 |
+
"learning_rate": 7.073333333333334e-06,
|
1438 |
+
"loss": 0.4107,
|
1439 |
+
"step": 1940
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 9.72568578553616,
|
1443 |
+
"grad_norm": 1.2457393407821655,
|
1444 |
+
"learning_rate": 7.006666666666667e-06,
|
1445 |
+
"loss": 0.4296,
|
1446 |
+
"step": 1950
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 9.775561097256858,
|
1450 |
+
"grad_norm": 1.4622180461883545,
|
1451 |
+
"learning_rate": 6.9400000000000005e-06,
|
1452 |
+
"loss": 0.4422,
|
1453 |
+
"step": 1960
|
1454 |
+
},
|
1455 |
+
{
|
1456 |
+
"epoch": 9.825436408977556,
|
1457 |
+
"grad_norm": 1.4130418300628662,
|
1458 |
+
"learning_rate": 6.873333333333334e-06,
|
1459 |
+
"loss": 0.4317,
|
1460 |
+
"step": 1970
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 9.875311720698255,
|
1464 |
+
"grad_norm": 1.311515212059021,
|
1465 |
+
"learning_rate": 6.806666666666667e-06,
|
1466 |
+
"loss": 0.4184,
|
1467 |
+
"step": 1980
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 9.925187032418952,
|
1471 |
+
"grad_norm": 1.4601870775222778,
|
1472 |
+
"learning_rate": 6.740000000000001e-06,
|
1473 |
+
"loss": 0.4136,
|
1474 |
+
"step": 1990
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 9.975062344139651,
|
1478 |
+
"grad_norm": 1.3348491191864014,
|
1479 |
+
"learning_rate": 6.6733333333333335e-06,
|
1480 |
+
"loss": 0.4409,
|
1481 |
+
"step": 2000
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 10.0,
|
1485 |
+
"eval_loss": 0.44308173656463623,
|
1486 |
+
"eval_runtime": 57.9177,
|
1487 |
+
"eval_samples_per_second": 17.318,
|
1488 |
+
"eval_steps_per_second": 3.47,
|
1489 |
+
"step": 2005
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 10.024937655860349,
|
1493 |
+
"grad_norm": 1.3334033489227295,
|
1494 |
+
"learning_rate": 6.606666666666666e-06,
|
1495 |
+
"loss": 0.4456,
|
1496 |
+
"step": 2010
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 10.074812967581048,
|
1500 |
+
"grad_norm": 1.5118451118469238,
|
1501 |
+
"learning_rate": 6.540000000000001e-06,
|
1502 |
+
"loss": 0.4385,
|
1503 |
+
"step": 2020
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 10.124688279301745,
|
1507 |
+
"grad_norm": 1.3644325733184814,
|
1508 |
+
"learning_rate": 6.473333333333334e-06,
|
1509 |
+
"loss": 0.4208,
|
1510 |
+
"step": 2030
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 10.174563591022444,
|
1514 |
+
"grad_norm": 1.426771640777588,
|
1515 |
+
"learning_rate": 6.4066666666666674e-06,
|
1516 |
+
"loss": 0.4201,
|
1517 |
+
"step": 2040
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"epoch": 10.224438902743142,
|
1521 |
+
"grad_norm": 1.3023799657821655,
|
1522 |
+
"learning_rate": 6.34e-06,
|
1523 |
+
"loss": 0.4068,
|
1524 |
+
"step": 2050
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 10.27431421446384,
|
1528 |
+
"grad_norm": 1.3506182432174683,
|
1529 |
+
"learning_rate": 6.273333333333333e-06,
|
1530 |
+
"loss": 0.4264,
|
1531 |
+
"step": 2060
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 10.324189526184538,
|
1535 |
+
"grad_norm": 1.4448788166046143,
|
1536 |
+
"learning_rate": 6.206666666666668e-06,
|
1537 |
+
"loss": 0.4249,
|
1538 |
+
"step": 2070
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 10.374064837905237,
|
1542 |
+
"grad_norm": 1.3727625608444214,
|
1543 |
+
"learning_rate": 6.1400000000000005e-06,
|
1544 |
+
"loss": 0.4351,
|
1545 |
+
"step": 2080
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 10.423940149625935,
|
1549 |
+
"grad_norm": 1.512022614479065,
|
1550 |
+
"learning_rate": 6.073333333333333e-06,
|
1551 |
+
"loss": 0.4332,
|
1552 |
+
"step": 2090
|
1553 |
+
},
|
1554 |
+
{
|
1555 |
+
"epoch": 10.473815461346634,
|
1556 |
+
"grad_norm": 1.305282473564148,
|
1557 |
+
"learning_rate": 6.006666666666667e-06,
|
1558 |
+
"loss": 0.4248,
|
1559 |
+
"step": 2100
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 10.523690773067331,
|
1563 |
+
"grad_norm": 1.4088374376296997,
|
1564 |
+
"learning_rate": 5.94e-06,
|
1565 |
+
"loss": 0.4323,
|
1566 |
+
"step": 2110
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 10.57356608478803,
|
1570 |
+
"grad_norm": 1.4796631336212158,
|
1571 |
+
"learning_rate": 5.873333333333334e-06,
|
1572 |
+
"loss": 0.4254,
|
1573 |
+
"step": 2120
|
1574 |
+
},
|
1575 |
+
{
|
1576 |
+
"epoch": 10.623441396508728,
|
1577 |
+
"grad_norm": 1.556593418121338,
|
1578 |
+
"learning_rate": 5.806666666666667e-06,
|
1579 |
+
"loss": 0.4117,
|
1580 |
+
"step": 2130
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 10.673316708229427,
|
1584 |
+
"grad_norm": 1.3857340812683105,
|
1585 |
+
"learning_rate": 5.74e-06,
|
1586 |
+
"loss": 0.4241,
|
1587 |
+
"step": 2140
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 10.723192019950124,
|
1591 |
+
"grad_norm": 1.6449425220489502,
|
1592 |
+
"learning_rate": 5.673333333333334e-06,
|
1593 |
+
"loss": 0.4144,
|
1594 |
+
"step": 2150
|
1595 |
+
},
|
1596 |
+
{
|
1597 |
+
"epoch": 10.773067331670823,
|
1598 |
+
"grad_norm": 1.8624916076660156,
|
1599 |
+
"learning_rate": 5.606666666666667e-06,
|
1600 |
+
"loss": 0.4239,
|
1601 |
+
"step": 2160
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 10.82294264339152,
|
1605 |
+
"grad_norm": 1.3718584775924683,
|
1606 |
+
"learning_rate": 5.540000000000001e-06,
|
1607 |
+
"loss": 0.4081,
|
1608 |
+
"step": 2170
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 10.87281795511222,
|
1612 |
+
"grad_norm": 1.4391957521438599,
|
1613 |
+
"learning_rate": 5.473333333333334e-06,
|
1614 |
+
"loss": 0.4195,
|
1615 |
+
"step": 2180
|
1616 |
+
},
|
1617 |
+
{
|
1618 |
+
"epoch": 10.922693266832917,
|
1619 |
+
"grad_norm": 1.6265774965286255,
|
1620 |
+
"learning_rate": 5.406666666666667e-06,
|
1621 |
+
"loss": 0.4446,
|
1622 |
+
"step": 2190
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 10.972568578553616,
|
1626 |
+
"grad_norm": 1.5026485919952393,
|
1627 |
+
"learning_rate": 5.3400000000000005e-06,
|
1628 |
+
"loss": 0.4229,
|
1629 |
+
"step": 2200
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 10.997506234413965,
|
1633 |
+
"eval_loss": 0.44174298644065857,
|
1634 |
+
"eval_runtime": 57.9098,
|
1635 |
+
"eval_samples_per_second": 17.32,
|
1636 |
+
"eval_steps_per_second": 3.471,
|
1637 |
+
"step": 2205
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 11.022443890274314,
|
1641 |
+
"grad_norm": 1.452600121498108,
|
1642 |
+
"learning_rate": 5.273333333333333e-06,
|
1643 |
+
"loss": 0.4326,
|
1644 |
+
"step": 2210
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 11.072319201995013,
|
1648 |
+
"grad_norm": 1.3822201490402222,
|
1649 |
+
"learning_rate": 5.206666666666668e-06,
|
1650 |
+
"loss": 0.4264,
|
1651 |
+
"step": 2220
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 11.12219451371571,
|
1655 |
+
"grad_norm": 1.468363642692566,
|
1656 |
+
"learning_rate": 5.140000000000001e-06,
|
1657 |
+
"loss": 0.4078,
|
1658 |
+
"step": 2230
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 11.17206982543641,
|
1662 |
+
"grad_norm": 1.495955467224121,
|
1663 |
+
"learning_rate": 5.073333333333334e-06,
|
1664 |
+
"loss": 0.4173,
|
1665 |
+
"step": 2240
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 11.221945137157107,
|
1669 |
+
"grad_norm": 1.441292405128479,
|
1670 |
+
"learning_rate": 5.006666666666667e-06,
|
1671 |
+
"loss": 0.415,
|
1672 |
+
"step": 2250
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 11.271820448877806,
|
1676 |
+
"grad_norm": 1.421720266342163,
|
1677 |
+
"learning_rate": 4.94e-06,
|
1678 |
+
"loss": 0.4126,
|
1679 |
+
"step": 2260
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 11.321695760598503,
|
1683 |
+
"grad_norm": 1.2590454816818237,
|
1684 |
+
"learning_rate": 4.873333333333334e-06,
|
1685 |
+
"loss": 0.4193,
|
1686 |
+
"step": 2270
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 11.371571072319203,
|
1690 |
+
"grad_norm": 1.48396897315979,
|
1691 |
+
"learning_rate": 4.8066666666666675e-06,
|
1692 |
+
"loss": 0.4266,
|
1693 |
+
"step": 2280
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 11.4214463840399,
|
1697 |
+
"grad_norm": 1.3837693929672241,
|
1698 |
+
"learning_rate": 4.74e-06,
|
1699 |
+
"loss": 0.4199,
|
1700 |
+
"step": 2290
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 11.471321695760599,
|
1704 |
+
"grad_norm": 1.5965029001235962,
|
1705 |
+
"learning_rate": 4.673333333333333e-06,
|
1706 |
+
"loss": 0.4148,
|
1707 |
+
"step": 2300
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 11.521197007481296,
|
1711 |
+
"grad_norm": 1.4824038743972778,
|
1712 |
+
"learning_rate": 4.606666666666667e-06,
|
1713 |
+
"loss": 0.4369,
|
1714 |
+
"step": 2310
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 11.571072319201996,
|
1718 |
+
"grad_norm": 1.4421814680099487,
|
1719 |
+
"learning_rate": 4.540000000000001e-06,
|
1720 |
+
"loss": 0.4182,
|
1721 |
+
"step": 2320
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 11.620947630922693,
|
1725 |
+
"grad_norm": 1.4961748123168945,
|
1726 |
+
"learning_rate": 4.473333333333334e-06,
|
1727 |
+
"loss": 0.4117,
|
1728 |
+
"step": 2330
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 11.670822942643392,
|
1732 |
+
"grad_norm": 1.63477623462677,
|
1733 |
+
"learning_rate": 4.406666666666667e-06,
|
1734 |
+
"loss": 0.4237,
|
1735 |
+
"step": 2340
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 11.72069825436409,
|
1739 |
+
"grad_norm": 1.6593093872070312,
|
1740 |
+
"learning_rate": 4.34e-06,
|
1741 |
+
"loss": 0.4279,
|
1742 |
+
"step": 2350
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 11.770573566084789,
|
1746 |
+
"grad_norm": 1.5250682830810547,
|
1747 |
+
"learning_rate": 4.273333333333334e-06,
|
1748 |
+
"loss": 0.4264,
|
1749 |
+
"step": 2360
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 11.820448877805486,
|
1753 |
+
"grad_norm": 1.5515984296798706,
|
1754 |
+
"learning_rate": 4.206666666666667e-06,
|
1755 |
+
"loss": 0.4341,
|
1756 |
+
"step": 2370
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 11.870324189526185,
|
1760 |
+
"grad_norm": 1.6062873601913452,
|
1761 |
+
"learning_rate": 4.14e-06,
|
1762 |
+
"loss": 0.4247,
|
1763 |
+
"step": 2380
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 11.920199501246882,
|
1767 |
+
"grad_norm": 1.760644793510437,
|
1768 |
+
"learning_rate": 4.073333333333334e-06,
|
1769 |
+
"loss": 0.4417,
|
1770 |
+
"step": 2390
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 11.970074812967582,
|
1774 |
+
"grad_norm": 1.2911533117294312,
|
1775 |
+
"learning_rate": 4.006666666666667e-06,
|
1776 |
+
"loss": 0.4159,
|
1777 |
+
"step": 2400
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 12.0,
|
1781 |
+
"eval_loss": 0.44075635075569153,
|
1782 |
+
"eval_runtime": 57.9093,
|
1783 |
+
"eval_samples_per_second": 17.32,
|
1784 |
+
"eval_steps_per_second": 3.471,
|
1785 |
+
"step": 2406
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 12.019950124688279,
|
1789 |
+
"grad_norm": 1.5172271728515625,
|
1790 |
+
"learning_rate": 3.94e-06,
|
1791 |
+
"loss": 0.437,
|
1792 |
+
"step": 2410
|
1793 |
+
},
|
1794 |
+
{
|
1795 |
+
"epoch": 12.069825436408978,
|
1796 |
+
"grad_norm": 1.4542344808578491,
|
1797 |
+
"learning_rate": 3.873333333333333e-06,
|
1798 |
+
"loss": 0.4314,
|
1799 |
+
"step": 2420
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 12.119700748129675,
|
1803 |
+
"grad_norm": 1.4818074703216553,
|
1804 |
+
"learning_rate": 3.806666666666667e-06,
|
1805 |
+
"loss": 0.4184,
|
1806 |
+
"step": 2430
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 12.169576059850375,
|
1810 |
+
"grad_norm": 1.4975398778915405,
|
1811 |
+
"learning_rate": 3.74e-06,
|
1812 |
+
"loss": 0.4087,
|
1813 |
+
"step": 2440
|
1814 |
+
},
|
1815 |
+
{
|
1816 |
+
"epoch": 12.219451371571072,
|
1817 |
+
"grad_norm": 1.3974961042404175,
|
1818 |
+
"learning_rate": 3.673333333333334e-06,
|
1819 |
+
"loss": 0.4135,
|
1820 |
+
"step": 2450
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 12.269326683291771,
|
1824 |
+
"grad_norm": 1.6019673347473145,
|
1825 |
+
"learning_rate": 3.606666666666667e-06,
|
1826 |
+
"loss": 0.4238,
|
1827 |
+
"step": 2460
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 12.319201995012468,
|
1831 |
+
"grad_norm": 1.7037951946258545,
|
1832 |
+
"learning_rate": 3.54e-06,
|
1833 |
+
"loss": 0.4218,
|
1834 |
+
"step": 2470
|
1835 |
+
},
|
1836 |
+
{
|
1837 |
+
"epoch": 12.369077306733168,
|
1838 |
+
"grad_norm": 1.5602372884750366,
|
1839 |
+
"learning_rate": 3.4733333333333337e-06,
|
1840 |
+
"loss": 0.4192,
|
1841 |
+
"step": 2480
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 12.418952618453865,
|
1845 |
+
"grad_norm": 1.391041874885559,
|
1846 |
+
"learning_rate": 3.406666666666667e-06,
|
1847 |
+
"loss": 0.414,
|
1848 |
+
"step": 2490
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 12.468827930174564,
|
1852 |
+
"grad_norm": 1.5659008026123047,
|
1853 |
+
"learning_rate": 3.3400000000000006e-06,
|
1854 |
+
"loss": 0.4251,
|
1855 |
+
"step": 2500
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"epoch": 12.518703241895262,
|
1859 |
+
"grad_norm": 1.4149389266967773,
|
1860 |
+
"learning_rate": 3.2733333333333335e-06,
|
1861 |
+
"loss": 0.4299,
|
1862 |
+
"step": 2510
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 12.56857855361596,
|
1866 |
+
"grad_norm": 1.5269657373428345,
|
1867 |
+
"learning_rate": 3.2066666666666667e-06,
|
1868 |
+
"loss": 0.4355,
|
1869 |
+
"step": 2520
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 12.618453865336658,
|
1873 |
+
"grad_norm": 1.6707123517990112,
|
1874 |
+
"learning_rate": 3.1400000000000004e-06,
|
1875 |
+
"loss": 0.4282,
|
1876 |
+
"step": 2530
|
1877 |
+
},
|
1878 |
+
{
|
1879 |
+
"epoch": 12.668329177057357,
|
1880 |
+
"grad_norm": 1.3647090196609497,
|
1881 |
+
"learning_rate": 3.0733333333333337e-06,
|
1882 |
+
"loss": 0.3994,
|
1883 |
+
"step": 2540
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 12.718204488778055,
|
1887 |
+
"grad_norm": 1.4243894815444946,
|
1888 |
+
"learning_rate": 3.0066666666666674e-06,
|
1889 |
+
"loss": 0.4181,
|
1890 |
+
"step": 2550
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 12.768079800498754,
|
1894 |
+
"grad_norm": 1.3579431772232056,
|
1895 |
+
"learning_rate": 2.9400000000000002e-06,
|
1896 |
+
"loss": 0.4251,
|
1897 |
+
"step": 2560
|
1898 |
+
},
|
1899 |
+
{
|
1900 |
+
"epoch": 12.817955112219451,
|
1901 |
+
"grad_norm": 1.6759490966796875,
|
1902 |
+
"learning_rate": 2.8733333333333335e-06,
|
1903 |
+
"loss": 0.4143,
|
1904 |
+
"step": 2570
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 12.86783042394015,
|
1908 |
+
"grad_norm": 1.5581449270248413,
|
1909 |
+
"learning_rate": 2.806666666666667e-06,
|
1910 |
+
"loss": 0.4083,
|
1911 |
+
"step": 2580
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 12.917705735660848,
|
1915 |
+
"grad_norm": 1.607188105583191,
|
1916 |
+
"learning_rate": 2.7400000000000004e-06,
|
1917 |
+
"loss": 0.4236,
|
1918 |
+
"step": 2590
|
1919 |
+
},
|
1920 |
+
{
|
1921 |
+
"epoch": 12.967581047381547,
|
1922 |
+
"grad_norm": 1.3592510223388672,
|
1923 |
+
"learning_rate": 2.6733333333333333e-06,
|
1924 |
+
"loss": 0.4108,
|
1925 |
+
"step": 2600
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 12.997506234413965,
|
1929 |
+
"eval_loss": 0.44020339846611023,
|
1930 |
+
"eval_runtime": 57.8997,
|
1931 |
+
"eval_samples_per_second": 17.323,
|
1932 |
+
"eval_steps_per_second": 3.472,
|
1933 |
+
"step": 2606
|
1934 |
+
},
|
1935 |
+
{
|
1936 |
+
"epoch": 13.017456359102244,
|
1937 |
+
"grad_norm": 1.461461067199707,
|
1938 |
+
"learning_rate": 2.606666666666667e-06,
|
1939 |
+
"loss": 0.4439,
|
1940 |
+
"step": 2610
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 13.067331670822943,
|
1944 |
+
"grad_norm": 1.40589439868927,
|
1945 |
+
"learning_rate": 2.5400000000000002e-06,
|
1946 |
+
"loss": 0.4057,
|
1947 |
+
"step": 2620
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 13.11720698254364,
|
1951 |
+
"grad_norm": 1.665216088294983,
|
1952 |
+
"learning_rate": 2.4733333333333335e-06,
|
1953 |
+
"loss": 0.4053,
|
1954 |
+
"step": 2630
|
1955 |
+
},
|
1956 |
+
{
|
1957 |
+
"epoch": 13.16708229426434,
|
1958 |
+
"grad_norm": 1.4636025428771973,
|
1959 |
+
"learning_rate": 2.4066666666666668e-06,
|
1960 |
+
"loss": 0.4199,
|
1961 |
+
"step": 2640
|
1962 |
+
},
|
1963 |
+
{
|
1964 |
+
"epoch": 13.216957605985037,
|
1965 |
+
"grad_norm": 1.4638257026672363,
|
1966 |
+
"learning_rate": 2.3400000000000005e-06,
|
1967 |
+
"loss": 0.4062,
|
1968 |
+
"step": 2650
|
1969 |
+
},
|
1970 |
+
{
|
1971 |
+
"epoch": 13.266832917705736,
|
1972 |
+
"grad_norm": 1.4565849304199219,
|
1973 |
+
"learning_rate": 2.2733333333333333e-06,
|
1974 |
+
"loss": 0.4354,
|
1975 |
+
"step": 2660
|
1976 |
+
},
|
1977 |
+
{
|
1978 |
+
"epoch": 13.316708229426434,
|
1979 |
+
"grad_norm": 1.4819647073745728,
|
1980 |
+
"learning_rate": 2.206666666666667e-06,
|
1981 |
+
"loss": 0.4088,
|
1982 |
+
"step": 2670
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 13.366583541147133,
|
1986 |
+
"grad_norm": 1.5023897886276245,
|
1987 |
+
"learning_rate": 2.1400000000000003e-06,
|
1988 |
+
"loss": 0.4313,
|
1989 |
+
"step": 2680
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 13.41645885286783,
|
1993 |
+
"grad_norm": 1.4261906147003174,
|
1994 |
+
"learning_rate": 2.0733333333333335e-06,
|
1995 |
+
"loss": 0.4179,
|
1996 |
+
"step": 2690
|
1997 |
+
},
|
1998 |
+
{
|
1999 |
+
"epoch": 13.46633416458853,
|
2000 |
+
"grad_norm": 1.6513773202896118,
|
2001 |
+
"learning_rate": 2.006666666666667e-06,
|
2002 |
+
"loss": 0.4341,
|
2003 |
+
"step": 2700
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 13.516209476309227,
|
2007 |
+
"grad_norm": 1.6153149604797363,
|
2008 |
+
"learning_rate": 1.94e-06,
|
2009 |
+
"loss": 0.4231,
|
2010 |
+
"step": 2710
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 13.566084788029926,
|
2014 |
+
"grad_norm": 1.6202324628829956,
|
2015 |
+
"learning_rate": 1.8733333333333333e-06,
|
2016 |
+
"loss": 0.4173,
|
2017 |
+
"step": 2720
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 13.615960099750623,
|
2021 |
+
"grad_norm": 1.2559431791305542,
|
2022 |
+
"learning_rate": 1.8066666666666668e-06,
|
2023 |
+
"loss": 0.4238,
|
2024 |
+
"step": 2730
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 13.665835411471322,
|
2028 |
+
"grad_norm": 1.3010227680206299,
|
2029 |
+
"learning_rate": 1.74e-06,
|
2030 |
+
"loss": 0.4287,
|
2031 |
+
"step": 2740
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 13.71571072319202,
|
2035 |
+
"grad_norm": 1.432409644126892,
|
2036 |
+
"learning_rate": 1.6733333333333335e-06,
|
2037 |
+
"loss": 0.4143,
|
2038 |
+
"step": 2750
|
2039 |
+
},
|
2040 |
+
{
|
2041 |
+
"epoch": 13.765586034912719,
|
2042 |
+
"grad_norm": 1.4686477184295654,
|
2043 |
+
"learning_rate": 1.606666666666667e-06,
|
2044 |
+
"loss": 0.4192,
|
2045 |
+
"step": 2760
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 13.815461346633416,
|
2049 |
+
"grad_norm": 1.526962161064148,
|
2050 |
+
"learning_rate": 1.54e-06,
|
2051 |
+
"loss": 0.4199,
|
2052 |
+
"step": 2770
|
2053 |
+
},
|
2054 |
+
{
|
2055 |
+
"epoch": 13.865336658354115,
|
2056 |
+
"grad_norm": 1.5790767669677734,
|
2057 |
+
"learning_rate": 1.4733333333333336e-06,
|
2058 |
+
"loss": 0.4089,
|
2059 |
+
"step": 2780
|
2060 |
+
},
|
2061 |
+
{
|
2062 |
+
"epoch": 13.915211970074813,
|
2063 |
+
"grad_norm": 1.4289913177490234,
|
2064 |
+
"learning_rate": 1.4066666666666668e-06,
|
2065 |
+
"loss": 0.4195,
|
2066 |
+
"step": 2790
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 13.965087281795512,
|
2070 |
+
"grad_norm": 1.613978624343872,
|
2071 |
+
"learning_rate": 1.34e-06,
|
2072 |
+
"loss": 0.4279,
|
2073 |
+
"step": 2800
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 14.0,
|
2077 |
+
"eval_loss": 0.439765065908432,
|
2078 |
+
"eval_runtime": 57.9105,
|
2079 |
+
"eval_samples_per_second": 17.32,
|
2080 |
+
"eval_steps_per_second": 3.471,
|
2081 |
+
"step": 2807
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 14.01496259351621,
|
2085 |
+
"grad_norm": 1.4722168445587158,
|
2086 |
+
"learning_rate": 1.2733333333333334e-06,
|
2087 |
+
"loss": 0.445,
|
2088 |
+
"step": 2810
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 14.064837905236908,
|
2092 |
+
"grad_norm": 1.6725043058395386,
|
2093 |
+
"learning_rate": 1.2066666666666668e-06,
|
2094 |
+
"loss": 0.4313,
|
2095 |
+
"step": 2820
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 14.114713216957606,
|
2099 |
+
"grad_norm": 1.4227081537246704,
|
2100 |
+
"learning_rate": 1.14e-06,
|
2101 |
+
"loss": 0.4181,
|
2102 |
+
"step": 2830
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 14.164588528678305,
|
2106 |
+
"grad_norm": 1.5610967874526978,
|
2107 |
+
"learning_rate": 1.0733333333333334e-06,
|
2108 |
+
"loss": 0.4229,
|
2109 |
+
"step": 2840
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 14.214463840399002,
|
2113 |
+
"grad_norm": 1.520051121711731,
|
2114 |
+
"learning_rate": 1.0066666666666668e-06,
|
2115 |
+
"loss": 0.4301,
|
2116 |
+
"step": 2850
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 14.264339152119701,
|
2120 |
+
"grad_norm": 1.4826945066452026,
|
2121 |
+
"learning_rate": 9.400000000000001e-07,
|
2122 |
+
"loss": 0.443,
|
2123 |
+
"step": 2860
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 14.314214463840399,
|
2127 |
+
"grad_norm": 1.6496617794036865,
|
2128 |
+
"learning_rate": 8.733333333333334e-07,
|
2129 |
+
"loss": 0.4109,
|
2130 |
+
"step": 2870
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 14.364089775561098,
|
2134 |
+
"grad_norm": 1.472607135772705,
|
2135 |
+
"learning_rate": 8.066666666666667e-07,
|
2136 |
+
"loss": 0.4075,
|
2137 |
+
"step": 2880
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 14.413965087281795,
|
2141 |
+
"grad_norm": 1.4754953384399414,
|
2142 |
+
"learning_rate": 7.4e-07,
|
2143 |
+
"loss": 0.4257,
|
2144 |
+
"step": 2890
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 14.463840399002494,
|
2148 |
+
"grad_norm": 1.6782726049423218,
|
2149 |
+
"learning_rate": 6.733333333333334e-07,
|
2150 |
+
"loss": 0.4099,
|
2151 |
+
"step": 2900
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 14.513715710723192,
|
2155 |
+
"grad_norm": 1.4635963439941406,
|
2156 |
+
"learning_rate": 6.066666666666668e-07,
|
2157 |
+
"loss": 0.3977,
|
2158 |
+
"step": 2910
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 14.563591022443891,
|
2162 |
+
"grad_norm": 1.5924144983291626,
|
2163 |
+
"learning_rate": 5.4e-07,
|
2164 |
+
"loss": 0.4181,
|
2165 |
+
"step": 2920
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 14.613466334164588,
|
2169 |
+
"grad_norm": 1.346475601196289,
|
2170 |
+
"learning_rate": 4.7333333333333334e-07,
|
2171 |
+
"loss": 0.4132,
|
2172 |
+
"step": 2930
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 14.663341645885287,
|
2176 |
+
"grad_norm": 1.4001176357269287,
|
2177 |
+
"learning_rate": 4.0666666666666666e-07,
|
2178 |
+
"loss": 0.4007,
|
2179 |
+
"step": 2940
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 14.713216957605985,
|
2183 |
+
"grad_norm": 1.6243798732757568,
|
2184 |
+
"learning_rate": 3.4000000000000003e-07,
|
2185 |
+
"loss": 0.4332,
|
2186 |
+
"step": 2950
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 14.763092269326684,
|
2190 |
+
"grad_norm": 1.5413304567337036,
|
2191 |
+
"learning_rate": 2.7333333333333335e-07,
|
2192 |
+
"loss": 0.4083,
|
2193 |
+
"step": 2960
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 14.812967581047381,
|
2197 |
+
"grad_norm": 1.4332594871520996,
|
2198 |
+
"learning_rate": 2.066666666666667e-07,
|
2199 |
+
"loss": 0.4206,
|
2200 |
+
"step": 2970
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 14.86284289276808,
|
2204 |
+
"grad_norm": 1.4844541549682617,
|
2205 |
+
"learning_rate": 1.4e-07,
|
2206 |
+
"loss": 0.4285,
|
2207 |
+
"step": 2980
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 14.912718204488778,
|
2211 |
+
"grad_norm": 1.471591830253601,
|
2212 |
+
"learning_rate": 7.333333333333334e-08,
|
2213 |
+
"loss": 0.4118,
|
2214 |
+
"step": 2990
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 14.962593516209477,
|
2218 |
+
"grad_norm": 1.3903006315231323,
|
2219 |
+
"learning_rate": 6.666666666666667e-09,
|
2220 |
+
"loss": 0.4145,
|
2221 |
+
"step": 3000
|
2222 |
+
}
|
2223 |
+
],
|
2224 |
+
"logging_steps": 10,
|
2225 |
+
"max_steps": 3000,
|
2226 |
+
"num_input_tokens_seen": 0,
|
2227 |
+
"num_train_epochs": 15,
|
2228 |
+
"save_steps": 500,
|
2229 |
+
"stateful_callbacks": {
|
2230 |
+
"TrainerControl": {
|
2231 |
+
"args": {
|
2232 |
+
"should_epoch_stop": false,
|
2233 |
+
"should_evaluate": false,
|
2234 |
+
"should_log": false,
|
2235 |
+
"should_save": true,
|
2236 |
+
"should_training_stop": true
|
2237 |
+
},
|
2238 |
+
"attributes": {}
|
2239 |
+
}
|
2240 |
+
},
|
2241 |
+
"total_flos": 4.48818315264e+16,
|
2242 |
+
"train_batch_size": 5,
|
2243 |
+
"trial_name": null,
|
2244 |
+
"trial_params": null
|
2245 |
+
}
|