Upload colministral_instruct/checkpoint-1847/trainer_state.json with huggingface_hub
Browse files
colministral_instruct/checkpoint-1847/trainer_state.json
ADDED
|
@@ -0,0 +1,1466 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 1600,
|
| 3 |
+
"best_metric": 0.23008832335472107,
|
| 4 |
+
"best_model_checkpoint": "./colministral_instruct/checkpoint-1000",
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 1847,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.005414185165132647,
|
| 14 |
+
"grad_norm": 543.6699829101562,
|
| 15 |
+
"learning_rate": 1.8000000000000001e-06,
|
| 16 |
+
"loss": 1.9993927001953125,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.010828370330265295,
|
| 21 |
+
"grad_norm": 164.02720642089844,
|
| 22 |
+
"learning_rate": 3.8000000000000005e-06,
|
| 23 |
+
"loss": 0.9693916320800782,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.016242555495397944,
|
| 28 |
+
"grad_norm": 69.46759033203125,
|
| 29 |
+
"learning_rate": 5.8e-06,
|
| 30 |
+
"loss": 0.8458441734313965,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.02165674066053059,
|
| 35 |
+
"grad_norm": 54.746402740478516,
|
| 36 |
+
"learning_rate": 7.800000000000002e-06,
|
| 37 |
+
"loss": 0.763066577911377,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.02707092582566324,
|
| 42 |
+
"grad_norm": 42.537715911865234,
|
| 43 |
+
"learning_rate": 9.800000000000001e-06,
|
| 44 |
+
"loss": 0.5721867561340332,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.03248511099079589,
|
| 49 |
+
"grad_norm": 48.38426971435547,
|
| 50 |
+
"learning_rate": 1.18e-05,
|
| 51 |
+
"loss": 0.5147192001342773,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03789929615592853,
|
| 56 |
+
"grad_norm": 45.789772033691406,
|
| 57 |
+
"learning_rate": 1.38e-05,
|
| 58 |
+
"loss": 0.5864397525787354,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.04331348132106118,
|
| 63 |
+
"grad_norm": 18.709171295166016,
|
| 64 |
+
"learning_rate": 1.58e-05,
|
| 65 |
+
"loss": 0.46416621208190917,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.04872766648619383,
|
| 70 |
+
"grad_norm": 26.018476486206055,
|
| 71 |
+
"learning_rate": 1.7800000000000002e-05,
|
| 72 |
+
"loss": 0.43240785598754883,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.05414185165132648,
|
| 77 |
+
"grad_norm": 11.97115421295166,
|
| 78 |
+
"learning_rate": 1.98e-05,
|
| 79 |
+
"loss": 0.44753470420837405,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.05414185165132648,
|
| 84 |
+
"eval_loss": 0.44970378279685974,
|
| 85 |
+
"eval_runtime": 186.8008,
|
| 86 |
+
"eval_samples_per_second": 2.677,
|
| 87 |
+
"eval_steps_per_second": 0.043,
|
| 88 |
+
"step": 100
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.05955603681645912,
|
| 92 |
+
"grad_norm": 20.446115493774414,
|
| 93 |
+
"learning_rate": 1.989696622781912e-05,
|
| 94 |
+
"loss": 0.5036756515502929,
|
| 95 |
+
"step": 110
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.06497022198159177,
|
| 99 |
+
"grad_norm": 11.368502616882324,
|
| 100 |
+
"learning_rate": 1.978248425872925e-05,
|
| 101 |
+
"loss": 0.43140034675598143,
|
| 102 |
+
"step": 120
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 0.07038440714672442,
|
| 106 |
+
"grad_norm": 10.996442794799805,
|
| 107 |
+
"learning_rate": 1.9668002289639383e-05,
|
| 108 |
+
"loss": 0.34702048301696775,
|
| 109 |
+
"step": 130
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.07579859231185707,
|
| 113 |
+
"grad_norm": 7.0032958984375,
|
| 114 |
+
"learning_rate": 1.9553520320549515e-05,
|
| 115 |
+
"loss": 0.3230997800827026,
|
| 116 |
+
"step": 140
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.08121277747698971,
|
| 120 |
+
"grad_norm": 7.132344722747803,
|
| 121 |
+
"learning_rate": 1.9439038351459647e-05,
|
| 122 |
+
"loss": 0.26646687984466555,
|
| 123 |
+
"step": 150
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.08662696264212236,
|
| 127 |
+
"grad_norm": 5.496569633483887,
|
| 128 |
+
"learning_rate": 1.932455638236978e-05,
|
| 129 |
+
"loss": 0.3255231618881226,
|
| 130 |
+
"step": 160
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.092041147807255,
|
| 134 |
+
"grad_norm": 6.669372081756592,
|
| 135 |
+
"learning_rate": 1.921007441327991e-05,
|
| 136 |
+
"loss": 0.29929318428039553,
|
| 137 |
+
"step": 170
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.09745533297238766,
|
| 141 |
+
"grad_norm": 6.67273473739624,
|
| 142 |
+
"learning_rate": 1.909559244419004e-05,
|
| 143 |
+
"loss": 0.3939538478851318,
|
| 144 |
+
"step": 180
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.10286951813752031,
|
| 148 |
+
"grad_norm": 6.498716354370117,
|
| 149 |
+
"learning_rate": 1.898111047510017e-05,
|
| 150 |
+
"loss": 0.3435858964920044,
|
| 151 |
+
"step": 190
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.10828370330265295,
|
| 155 |
+
"grad_norm": 8.604414939880371,
|
| 156 |
+
"learning_rate": 1.8866628506010306e-05,
|
| 157 |
+
"loss": 0.3231580495834351,
|
| 158 |
+
"step": 200
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.10828370330265295,
|
| 162 |
+
"eval_loss": 0.3424125909805298,
|
| 163 |
+
"eval_runtime": 177.9599,
|
| 164 |
+
"eval_samples_per_second": 2.81,
|
| 165 |
+
"eval_steps_per_second": 0.045,
|
| 166 |
+
"step": 200
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.1136978884677856,
|
| 170 |
+
"grad_norm": 8.97314453125,
|
| 171 |
+
"learning_rate": 1.875214653692044e-05,
|
| 172 |
+
"loss": 0.25650060176849365,
|
| 173 |
+
"step": 210
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.11911207363291824,
|
| 177 |
+
"grad_norm": 9.391942024230957,
|
| 178 |
+
"learning_rate": 1.863766456783057e-05,
|
| 179 |
+
"loss": 0.26157987117767334,
|
| 180 |
+
"step": 220
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.12452625879805089,
|
| 184 |
+
"grad_norm": 9.933388710021973,
|
| 185 |
+
"learning_rate": 1.85231825987407e-05,
|
| 186 |
+
"loss": 0.2816105127334595,
|
| 187 |
+
"step": 230
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.12994044396318355,
|
| 191 |
+
"grad_norm": 4.43155574798584,
|
| 192 |
+
"learning_rate": 1.840870062965083e-05,
|
| 193 |
+
"loss": 0.3001199722290039,
|
| 194 |
+
"step": 240
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.1353546291283162,
|
| 198 |
+
"grad_norm": 3.869915723800659,
|
| 199 |
+
"learning_rate": 1.8294218660560962e-05,
|
| 200 |
+
"loss": 0.3068208932876587,
|
| 201 |
+
"step": 250
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.14076881429344884,
|
| 205 |
+
"grad_norm": 6.167764186859131,
|
| 206 |
+
"learning_rate": 1.8179736691471094e-05,
|
| 207 |
+
"loss": 0.2766712188720703,
|
| 208 |
+
"step": 260
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.1461829994585815,
|
| 212 |
+
"grad_norm": 5.81295919418335,
|
| 213 |
+
"learning_rate": 1.8065254722381226e-05,
|
| 214 |
+
"loss": 0.2602296590805054,
|
| 215 |
+
"step": 270
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.15159718462371413,
|
| 219 |
+
"grad_norm": 5.53621244430542,
|
| 220 |
+
"learning_rate": 1.7950772753291358e-05,
|
| 221 |
+
"loss": 0.253632116317749,
|
| 222 |
+
"step": 280
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 0.15701136978884678,
|
| 226 |
+
"grad_norm": 5.341790676116943,
|
| 227 |
+
"learning_rate": 1.783629078420149e-05,
|
| 228 |
+
"loss": 0.28205304145812987,
|
| 229 |
+
"step": 290
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 0.16242555495397942,
|
| 233 |
+
"grad_norm": 5.494793891906738,
|
| 234 |
+
"learning_rate": 1.7721808815111622e-05,
|
| 235 |
+
"loss": 0.25325493812561034,
|
| 236 |
+
"step": 300
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.16242555495397942,
|
| 240 |
+
"eval_loss": 0.2979429364204407,
|
| 241 |
+
"eval_runtime": 179.1915,
|
| 242 |
+
"eval_samples_per_second": 2.79,
|
| 243 |
+
"eval_steps_per_second": 0.045,
|
| 244 |
+
"step": 300
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.16783974011911207,
|
| 248 |
+
"grad_norm": 4.257375717163086,
|
| 249 |
+
"learning_rate": 1.7607326846021754e-05,
|
| 250 |
+
"loss": 0.26064889430999755,
|
| 251 |
+
"step": 310
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.17325392528424471,
|
| 255 |
+
"grad_norm": 11.936477661132812,
|
| 256 |
+
"learning_rate": 1.7492844876931886e-05,
|
| 257 |
+
"loss": 0.2734109878540039,
|
| 258 |
+
"step": 320
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 0.17866811044937736,
|
| 262 |
+
"grad_norm": 6.3007073402404785,
|
| 263 |
+
"learning_rate": 1.7378362907842017e-05,
|
| 264 |
+
"loss": 0.276493501663208,
|
| 265 |
+
"step": 330
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.18408229561451,
|
| 269 |
+
"grad_norm": 16.37439727783203,
|
| 270 |
+
"learning_rate": 1.726388093875215e-05,
|
| 271 |
+
"loss": 0.2587301254272461,
|
| 272 |
+
"step": 340
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.18949648077964265,
|
| 276 |
+
"grad_norm": 4.225547790527344,
|
| 277 |
+
"learning_rate": 1.7149398969662278e-05,
|
| 278 |
+
"loss": 0.274665904045105,
|
| 279 |
+
"step": 350
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.19491066594477532,
|
| 283 |
+
"grad_norm": 6.299052715301514,
|
| 284 |
+
"learning_rate": 1.703491700057241e-05,
|
| 285 |
+
"loss": 0.2801411867141724,
|
| 286 |
+
"step": 360
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.20032485110990797,
|
| 290 |
+
"grad_norm": 3.3382489681243896,
|
| 291 |
+
"learning_rate": 1.692043503148254e-05,
|
| 292 |
+
"loss": 0.24772999286651612,
|
| 293 |
+
"step": 370
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.20573903627504062,
|
| 297 |
+
"grad_norm": 2.4406442642211914,
|
| 298 |
+
"learning_rate": 1.6805953062392673e-05,
|
| 299 |
+
"loss": 0.27379584312438965,
|
| 300 |
+
"step": 380
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.21115322144017326,
|
| 304 |
+
"grad_norm": 8.307928085327148,
|
| 305 |
+
"learning_rate": 1.6691471093302805e-05,
|
| 306 |
+
"loss": 0.22101922035217286,
|
| 307 |
+
"step": 390
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.2165674066053059,
|
| 311 |
+
"grad_norm": 4.049592971801758,
|
| 312 |
+
"learning_rate": 1.657698912421294e-05,
|
| 313 |
+
"loss": 0.2537801504135132,
|
| 314 |
+
"step": 400
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.2165674066053059,
|
| 318 |
+
"eval_loss": 0.2929852306842804,
|
| 319 |
+
"eval_runtime": 179.5677,
|
| 320 |
+
"eval_samples_per_second": 2.784,
|
| 321 |
+
"eval_steps_per_second": 0.045,
|
| 322 |
+
"step": 400
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 0.22198159177043855,
|
| 326 |
+
"grad_norm": 6.283323764801025,
|
| 327 |
+
"learning_rate": 1.646250715512307e-05,
|
| 328 |
+
"loss": 0.20543107986450196,
|
| 329 |
+
"step": 410
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.2273957769355712,
|
| 333 |
+
"grad_norm": 4.430580139160156,
|
| 334 |
+
"learning_rate": 1.63480251860332e-05,
|
| 335 |
+
"loss": 0.2284616231918335,
|
| 336 |
+
"step": 420
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.23280996210070384,
|
| 340 |
+
"grad_norm": 5.426084041595459,
|
| 341 |
+
"learning_rate": 1.6233543216943333e-05,
|
| 342 |
+
"loss": 0.2641509294509888,
|
| 343 |
+
"step": 430
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.2382241472658365,
|
| 347 |
+
"grad_norm": 2.4687888622283936,
|
| 348 |
+
"learning_rate": 1.6119061247853465e-05,
|
| 349 |
+
"loss": 0.26944191455841066,
|
| 350 |
+
"step": 440
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 0.24363833243096913,
|
| 354 |
+
"grad_norm": 2.113584518432617,
|
| 355 |
+
"learning_rate": 1.6004579278763596e-05,
|
| 356 |
+
"loss": 0.23050076961517335,
|
| 357 |
+
"step": 450
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 0.24905251759610178,
|
| 361 |
+
"grad_norm": 5.187865257263184,
|
| 362 |
+
"learning_rate": 1.589009730967373e-05,
|
| 363 |
+
"loss": 0.2878826141357422,
|
| 364 |
+
"step": 460
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 0.25446670276123445,
|
| 368 |
+
"grad_norm": 2.0604100227355957,
|
| 369 |
+
"learning_rate": 1.577561534058386e-05,
|
| 370 |
+
"loss": 0.21956250667572022,
|
| 371 |
+
"step": 470
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 0.2598808879263671,
|
| 375 |
+
"grad_norm": 3.203840494155884,
|
| 376 |
+
"learning_rate": 1.5661133371493992e-05,
|
| 377 |
+
"loss": 0.17572344541549684,
|
| 378 |
+
"step": 480
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.26529507309149974,
|
| 382 |
+
"grad_norm": 3.815284252166748,
|
| 383 |
+
"learning_rate": 1.5546651402404124e-05,
|
| 384 |
+
"loss": 0.3006906986236572,
|
| 385 |
+
"step": 490
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.2707092582566324,
|
| 389 |
+
"grad_norm": 3.670311450958252,
|
| 390 |
+
"learning_rate": 1.5432169433314256e-05,
|
| 391 |
+
"loss": 0.21811861991882325,
|
| 392 |
+
"step": 500
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 0.2707092582566324,
|
| 396 |
+
"eval_loss": 0.26628464460372925,
|
| 397 |
+
"eval_runtime": 178.7338,
|
| 398 |
+
"eval_samples_per_second": 2.797,
|
| 399 |
+
"eval_steps_per_second": 0.045,
|
| 400 |
+
"step": 500
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 0.27612344342176504,
|
| 404 |
+
"grad_norm": 2.1825575828552246,
|
| 405 |
+
"learning_rate": 1.5317687464224388e-05,
|
| 406 |
+
"loss": 0.17886087894439698,
|
| 407 |
+
"step": 510
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 0.2815376285868977,
|
| 411 |
+
"grad_norm": 2.963296413421631,
|
| 412 |
+
"learning_rate": 1.5203205495134516e-05,
|
| 413 |
+
"loss": 0.23231356143951415,
|
| 414 |
+
"step": 520
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.2869518137520303,
|
| 418 |
+
"grad_norm": 2.992211103439331,
|
| 419 |
+
"learning_rate": 1.5088723526044648e-05,
|
| 420 |
+
"loss": 0.21149744987487792,
|
| 421 |
+
"step": 530
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.292365998917163,
|
| 425 |
+
"grad_norm": 3.792454957962036,
|
| 426 |
+
"learning_rate": 1.497424155695478e-05,
|
| 427 |
+
"loss": 0.2430887222290039,
|
| 428 |
+
"step": 540
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.2977801840822956,
|
| 432 |
+
"grad_norm": 3.3317453861236572,
|
| 433 |
+
"learning_rate": 1.4859759587864912e-05,
|
| 434 |
+
"loss": 0.2693284034729004,
|
| 435 |
+
"step": 550
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.30319436924742826,
|
| 439 |
+
"grad_norm": 3.111405611038208,
|
| 440 |
+
"learning_rate": 1.4745277618775045e-05,
|
| 441 |
+
"loss": 0.260522198677063,
|
| 442 |
+
"step": 560
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 0.3086085544125609,
|
| 446 |
+
"grad_norm": 3.055248260498047,
|
| 447 |
+
"learning_rate": 1.4630795649685177e-05,
|
| 448 |
+
"loss": 0.19022750854492188,
|
| 449 |
+
"step": 570
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.31402273957769355,
|
| 453 |
+
"grad_norm": 2.2119758129119873,
|
| 454 |
+
"learning_rate": 1.4516313680595306e-05,
|
| 455 |
+
"loss": 0.20317349433898926,
|
| 456 |
+
"step": 580
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 0.3194369247428262,
|
| 460 |
+
"grad_norm": 3.7249059677124023,
|
| 461 |
+
"learning_rate": 1.440183171150544e-05,
|
| 462 |
+
"loss": 0.33064947128295896,
|
| 463 |
+
"step": 590
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 0.32485110990795885,
|
| 467 |
+
"grad_norm": 1.8266000747680664,
|
| 468 |
+
"learning_rate": 1.4287349742415571e-05,
|
| 469 |
+
"loss": 0.19054170846939086,
|
| 470 |
+
"step": 600
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 0.32485110990795885,
|
| 474 |
+
"eval_loss": 0.2649596929550171,
|
| 475 |
+
"eval_runtime": 195.5012,
|
| 476 |
+
"eval_samples_per_second": 2.558,
|
| 477 |
+
"eval_steps_per_second": 0.041,
|
| 478 |
+
"step": 600
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.3302652950730915,
|
| 482 |
+
"grad_norm": 2.6137237548828125,
|
| 483 |
+
"learning_rate": 1.4172867773325703e-05,
|
| 484 |
+
"loss": 0.1838314414024353,
|
| 485 |
+
"step": 610
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.33567948023822414,
|
| 489 |
+
"grad_norm": 5.4166646003723145,
|
| 490 |
+
"learning_rate": 1.4058385804235835e-05,
|
| 491 |
+
"loss": 0.24083592891693115,
|
| 492 |
+
"step": 620
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.3410936654033568,
|
| 496 |
+
"grad_norm": 0.9654495716094971,
|
| 497 |
+
"learning_rate": 1.3943903835145967e-05,
|
| 498 |
+
"loss": 0.1810009717941284,
|
| 499 |
+
"step": 630
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.34650785056848943,
|
| 503 |
+
"grad_norm": 3.7898268699645996,
|
| 504 |
+
"learning_rate": 1.3829421866056097e-05,
|
| 505 |
+
"loss": 0.2546801805496216,
|
| 506 |
+
"step": 640
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.3519220357336221,
|
| 510 |
+
"grad_norm": 4.334327220916748,
|
| 511 |
+
"learning_rate": 1.3714939896966229e-05,
|
| 512 |
+
"loss": 0.24812486171722412,
|
| 513 |
+
"step": 650
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.3573362208987547,
|
| 517 |
+
"grad_norm": 2.674356698989868,
|
| 518 |
+
"learning_rate": 1.360045792787636e-05,
|
| 519 |
+
"loss": 0.21139421463012695,
|
| 520 |
+
"step": 660
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.36275040606388737,
|
| 524 |
+
"grad_norm": 3.904670000076294,
|
| 525 |
+
"learning_rate": 1.3485975958786492e-05,
|
| 526 |
+
"loss": 0.3260847330093384,
|
| 527 |
+
"step": 670
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.36816459122902,
|
| 531 |
+
"grad_norm": 2.031989574432373,
|
| 532 |
+
"learning_rate": 1.3371493989696624e-05,
|
| 533 |
+
"loss": 0.16769688129425048,
|
| 534 |
+
"step": 680
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.37357877639415266,
|
| 538 |
+
"grad_norm": 2.078270196914673,
|
| 539 |
+
"learning_rate": 1.3257012020606756e-05,
|
| 540 |
+
"loss": 0.2228013515472412,
|
| 541 |
+
"step": 690
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.3789929615592853,
|
| 545 |
+
"grad_norm": 3.559065341949463,
|
| 546 |
+
"learning_rate": 1.3142530051516886e-05,
|
| 547 |
+
"loss": 0.24497828483581544,
|
| 548 |
+
"step": 700
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.3789929615592853,
|
| 552 |
+
"eval_loss": 0.27438169717788696,
|
| 553 |
+
"eval_runtime": 192.25,
|
| 554 |
+
"eval_samples_per_second": 2.601,
|
| 555 |
+
"eval_steps_per_second": 0.042,
|
| 556 |
+
"step": 700
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.38440714672441795,
|
| 560 |
+
"grad_norm": 5.049474716186523,
|
| 561 |
+
"learning_rate": 1.3028048082427018e-05,
|
| 562 |
+
"loss": 0.2515050172805786,
|
| 563 |
+
"step": 710
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.38982133188955065,
|
| 567 |
+
"grad_norm": 4.7093377113342285,
|
| 568 |
+
"learning_rate": 1.291356611333715e-05,
|
| 569 |
+
"loss": 0.25796053409576414,
|
| 570 |
+
"step": 720
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.3952355170546833,
|
| 574 |
+
"grad_norm": 1.9789268970489502,
|
| 575 |
+
"learning_rate": 1.2799084144247282e-05,
|
| 576 |
+
"loss": 0.26365816593170166,
|
| 577 |
+
"step": 730
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.40064970221981594,
|
| 581 |
+
"grad_norm": 3.205653190612793,
|
| 582 |
+
"learning_rate": 1.2684602175157414e-05,
|
| 583 |
+
"loss": 0.20367937088012694,
|
| 584 |
+
"step": 740
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.4060638873849486,
|
| 588 |
+
"grad_norm": 2.377321720123291,
|
| 589 |
+
"learning_rate": 1.2570120206067546e-05,
|
| 590 |
+
"loss": 0.24045815467834472,
|
| 591 |
+
"step": 750
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.41147807255008123,
|
| 595 |
+
"grad_norm": 3.0709166526794434,
|
| 596 |
+
"learning_rate": 1.2455638236977676e-05,
|
| 597 |
+
"loss": 0.2220609188079834,
|
| 598 |
+
"step": 760
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.4168922577152139,
|
| 602 |
+
"grad_norm": 4.950815677642822,
|
| 603 |
+
"learning_rate": 1.2341156267887808e-05,
|
| 604 |
+
"loss": 0.23310546875,
|
| 605 |
+
"step": 770
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.4223064428803465,
|
| 609 |
+
"grad_norm": 2.7067513465881348,
|
| 610 |
+
"learning_rate": 1.222667429879794e-05,
|
| 611 |
+
"loss": 0.21087515354156494,
|
| 612 |
+
"step": 780
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.42772062804547917,
|
| 616 |
+
"grad_norm": 2.995311737060547,
|
| 617 |
+
"learning_rate": 1.2112192329708072e-05,
|
| 618 |
+
"loss": 0.270160436630249,
|
| 619 |
+
"step": 790
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.4331348132106118,
|
| 623 |
+
"grad_norm": 3.1798107624053955,
|
| 624 |
+
"learning_rate": 1.1997710360618205e-05,
|
| 625 |
+
"loss": 0.23834543228149413,
|
| 626 |
+
"step": 800
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.4331348132106118,
|
| 630 |
+
"eval_loss": 0.27385658025741577,
|
| 631 |
+
"eval_runtime": 194.0948,
|
| 632 |
+
"eval_samples_per_second": 2.576,
|
| 633 |
+
"eval_steps_per_second": 0.041,
|
| 634 |
+
"step": 800
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.43854899837574446,
|
| 638 |
+
"grad_norm": 2.943222999572754,
|
| 639 |
+
"learning_rate": 1.1883228391528334e-05,
|
| 640 |
+
"loss": 0.216874361038208,
|
| 641 |
+
"step": 810
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.4439631835408771,
|
| 645 |
+
"grad_norm": 2.110621929168701,
|
| 646 |
+
"learning_rate": 1.1768746422438465e-05,
|
| 647 |
+
"loss": 0.20865044593811036,
|
| 648 |
+
"step": 820
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.44937736870600975,
|
| 652 |
+
"grad_norm": 1.6052929162979126,
|
| 653 |
+
"learning_rate": 1.1654264453348599e-05,
|
| 654 |
+
"loss": 0.30108621120452883,
|
| 655 |
+
"step": 830
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.4547915538711424,
|
| 659 |
+
"grad_norm": 2.5788700580596924,
|
| 660 |
+
"learning_rate": 1.1539782484258731e-05,
|
| 661 |
+
"loss": 0.2957357406616211,
|
| 662 |
+
"step": 840
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.46020573903627504,
|
| 666 |
+
"grad_norm": 2.628265857696533,
|
| 667 |
+
"learning_rate": 1.1425300515168863e-05,
|
| 668 |
+
"loss": 0.22570197582244872,
|
| 669 |
+
"step": 850
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.4656199242014077,
|
| 673 |
+
"grad_norm": 2.545527935028076,
|
| 674 |
+
"learning_rate": 1.1310818546078995e-05,
|
| 675 |
+
"loss": 0.22279636859893798,
|
| 676 |
+
"step": 860
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.47103410936654033,
|
| 680 |
+
"grad_norm": 3.573845148086548,
|
| 681 |
+
"learning_rate": 1.1196336576989125e-05,
|
| 682 |
+
"loss": 0.2773691415786743,
|
| 683 |
+
"step": 870
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.476448294531673,
|
| 687 |
+
"grad_norm": 0.9069404006004333,
|
| 688 |
+
"learning_rate": 1.1081854607899257e-05,
|
| 689 |
+
"loss": 0.17301480770111083,
|
| 690 |
+
"step": 880
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.4818624796968056,
|
| 694 |
+
"grad_norm": 1.6237963438034058,
|
| 695 |
+
"learning_rate": 1.0967372638809389e-05,
|
| 696 |
+
"loss": 0.26461865901947024,
|
| 697 |
+
"step": 890
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.48727666486193827,
|
| 701 |
+
"grad_norm": 2.365058183670044,
|
| 702 |
+
"learning_rate": 1.085289066971952e-05,
|
| 703 |
+
"loss": 0.2359367847442627,
|
| 704 |
+
"step": 900
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.48727666486193827,
|
| 708 |
+
"eval_loss": 0.2610641121864319,
|
| 709 |
+
"eval_runtime": 195.832,
|
| 710 |
+
"eval_samples_per_second": 2.553,
|
| 711 |
+
"eval_steps_per_second": 0.041,
|
| 712 |
+
"step": 900
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 0.4926908500270709,
|
| 716 |
+
"grad_norm": 3.731443166732788,
|
| 717 |
+
"learning_rate": 1.0738408700629652e-05,
|
| 718 |
+
"loss": 0.22426066398620606,
|
| 719 |
+
"step": 910
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 0.49810503519220356,
|
| 723 |
+
"grad_norm": 6.362759590148926,
|
| 724 |
+
"learning_rate": 1.0623926731539784e-05,
|
| 725 |
+
"loss": 0.15455341339111328,
|
| 726 |
+
"step": 920
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 0.5035192203573362,
|
| 730 |
+
"grad_norm": 3.9102375507354736,
|
| 731 |
+
"learning_rate": 1.0509444762449914e-05,
|
| 732 |
+
"loss": 0.2390758991241455,
|
| 733 |
+
"step": 930
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.5089334055224689,
|
| 737 |
+
"grad_norm": 3.2802300453186035,
|
| 738 |
+
"learning_rate": 1.0394962793360046e-05,
|
| 739 |
+
"loss": 0.16872775554656982,
|
| 740 |
+
"step": 940
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.5143475906876015,
|
| 744 |
+
"grad_norm": 1.5911115407943726,
|
| 745 |
+
"learning_rate": 1.0280480824270178e-05,
|
| 746 |
+
"loss": 0.16606497764587402,
|
| 747 |
+
"step": 950
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.5197617758527342,
|
| 751 |
+
"grad_norm": 2.215773582458496,
|
| 752 |
+
"learning_rate": 1.016599885518031e-05,
|
| 753 |
+
"loss": 0.2688090085983276,
|
| 754 |
+
"step": 960
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.5251759610178668,
|
| 758 |
+
"grad_norm": 4.990248680114746,
|
| 759 |
+
"learning_rate": 1.0051516886090442e-05,
|
| 760 |
+
"loss": 0.22968034744262694,
|
| 761 |
+
"step": 970
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.5305901461829995,
|
| 765 |
+
"grad_norm": 3.477569580078125,
|
| 766 |
+
"learning_rate": 9.937034917000574e-06,
|
| 767 |
+
"loss": 0.22531018257141114,
|
| 768 |
+
"step": 980
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.5360043313481321,
|
| 772 |
+
"grad_norm": 3.1716578006744385,
|
| 773 |
+
"learning_rate": 9.822552947910706e-06,
|
| 774 |
+
"loss": 0.23770229816436766,
|
| 775 |
+
"step": 990
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.5414185165132648,
|
| 779 |
+
"grad_norm": 1.9167814254760742,
|
| 780 |
+
"learning_rate": 9.708070978820836e-06,
|
| 781 |
+
"loss": 0.24618821144104003,
|
| 782 |
+
"step": 1000
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.5414185165132648,
|
| 786 |
+
"eval_loss": 0.26103678345680237,
|
| 787 |
+
"eval_runtime": 202.5161,
|
| 788 |
+
"eval_samples_per_second": 2.469,
|
| 789 |
+
"eval_steps_per_second": 0.04,
|
| 790 |
+
"step": 1000
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 0.5468327016783974,
|
| 794 |
+
"grad_norm": 3.180967330932617,
|
| 795 |
+
"learning_rate": 9.593589009730968e-06,
|
| 796 |
+
"loss": 0.20270924568176268,
|
| 797 |
+
"step": 1010
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 0.5522468868435301,
|
| 801 |
+
"grad_norm": 3.502568483352661,
|
| 802 |
+
"learning_rate": 9.4791070406411e-06,
|
| 803 |
+
"loss": 0.2067967176437378,
|
| 804 |
+
"step": 1020
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 0.5576610720086627,
|
| 808 |
+
"grad_norm": 3.1334002017974854,
|
| 809 |
+
"learning_rate": 9.364625071551231e-06,
|
| 810 |
+
"loss": 0.17062442302703856,
|
| 811 |
+
"step": 1030
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 0.5630752571737954,
|
| 815 |
+
"grad_norm": 1.5967116355895996,
|
| 816 |
+
"learning_rate": 9.250143102461363e-06,
|
| 817 |
+
"loss": 0.18205602169036866,
|
| 818 |
+
"step": 1040
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 0.568489442338928,
|
| 822 |
+
"grad_norm": 2.9699482917785645,
|
| 823 |
+
"learning_rate": 9.135661133371495e-06,
|
| 824 |
+
"loss": 0.20786123275756835,
|
| 825 |
+
"step": 1050
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 0.5739036275040607,
|
| 829 |
+
"grad_norm": 1.907443642616272,
|
| 830 |
+
"learning_rate": 9.021179164281625e-06,
|
| 831 |
+
"loss": 0.15080078840255737,
|
| 832 |
+
"step": 1060
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 0.5793178126691932,
|
| 836 |
+
"grad_norm": 3.473672389984131,
|
| 837 |
+
"learning_rate": 8.906697195191759e-06,
|
| 838 |
+
"loss": 0.18944071531295775,
|
| 839 |
+
"step": 1070
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 0.584731997834326,
|
| 843 |
+
"grad_norm": 3.6919825077056885,
|
| 844 |
+
"learning_rate": 8.79221522610189e-06,
|
| 845 |
+
"loss": 0.21239805221557617,
|
| 846 |
+
"step": 1080
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 0.5901461829994585,
|
| 850 |
+
"grad_norm": 4.364081859588623,
|
| 851 |
+
"learning_rate": 8.677733257012021e-06,
|
| 852 |
+
"loss": 0.1917807102203369,
|
| 853 |
+
"step": 1090
|
| 854 |
+
},
|
| 855 |
+
{
|
| 856 |
+
"epoch": 0.5955603681645912,
|
| 857 |
+
"grad_norm": 2.423961877822876,
|
| 858 |
+
"learning_rate": 8.563251287922153e-06,
|
| 859 |
+
"loss": 0.1762956738471985,
|
| 860 |
+
"step": 1100
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 0.5955603681645912,
|
| 864 |
+
"eval_loss": 0.26289770007133484,
|
| 865 |
+
"eval_runtime": 197.9472,
|
| 866 |
+
"eval_samples_per_second": 2.526,
|
| 867 |
+
"eval_steps_per_second": 0.04,
|
| 868 |
+
"step": 1100
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"epoch": 0.6009745533297238,
|
| 872 |
+
"grad_norm": 2.546036720275879,
|
| 873 |
+
"learning_rate": 8.448769318832285e-06,
|
| 874 |
+
"loss": 0.22362699508666992,
|
| 875 |
+
"step": 1110
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"epoch": 0.6063887384948565,
|
| 879 |
+
"grad_norm": 1.8597356081008911,
|
| 880 |
+
"learning_rate": 8.334287349742416e-06,
|
| 881 |
+
"loss": 0.2219099998474121,
|
| 882 |
+
"step": 1120
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 0.6118029236599891,
|
| 886 |
+
"grad_norm": 2.0282323360443115,
|
| 887 |
+
"learning_rate": 8.219805380652548e-06,
|
| 888 |
+
"loss": 0.19398486614227295,
|
| 889 |
+
"step": 1130
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 0.6172171088251218,
|
| 893 |
+
"grad_norm": 2.632211923599243,
|
| 894 |
+
"learning_rate": 8.10532341156268e-06,
|
| 895 |
+
"loss": 0.248856520652771,
|
| 896 |
+
"step": 1140
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 0.6226312939902545,
|
| 900 |
+
"grad_norm": 4.281766414642334,
|
| 901 |
+
"learning_rate": 7.99084144247281e-06,
|
| 902 |
+
"loss": 0.20348639488220216,
|
| 903 |
+
"step": 1150
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 0.6280454791553871,
|
| 907 |
+
"grad_norm": 2.856067180633545,
|
| 908 |
+
"learning_rate": 7.876359473382942e-06,
|
| 909 |
+
"loss": 0.19252336025238037,
|
| 910 |
+
"step": 1160
|
| 911 |
+
},
|
| 912 |
+
{
|
| 913 |
+
"epoch": 0.6334596643205198,
|
| 914 |
+
"grad_norm": 2.3007686138153076,
|
| 915 |
+
"learning_rate": 7.761877504293074e-06,
|
| 916 |
+
"loss": 0.19838290214538573,
|
| 917 |
+
"step": 1170
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 0.6388738494856524,
|
| 921 |
+
"grad_norm": 3.8178551197052,
|
| 922 |
+
"learning_rate": 7.647395535203206e-06,
|
| 923 |
+
"loss": 0.18021087646484374,
|
| 924 |
+
"step": 1180
|
| 925 |
+
},
|
| 926 |
+
{
|
| 927 |
+
"epoch": 0.6442880346507851,
|
| 928 |
+
"grad_norm": 3.6084835529327393,
|
| 929 |
+
"learning_rate": 7.532913566113338e-06,
|
| 930 |
+
"loss": 0.22094388008117677,
|
| 931 |
+
"step": 1190
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"epoch": 0.6497022198159177,
|
| 935 |
+
"grad_norm": 6.249308109283447,
|
| 936 |
+
"learning_rate": 7.41843159702347e-06,
|
| 937 |
+
"loss": 0.22846508026123047,
|
| 938 |
+
"step": 1200
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 0.6497022198159177,
|
| 942 |
+
"eval_loss": 0.26082879304885864,
|
| 943 |
+
"eval_runtime": 197.6681,
|
| 944 |
+
"eval_samples_per_second": 2.529,
|
| 945 |
+
"eval_steps_per_second": 0.04,
|
| 946 |
+
"step": 1200
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 0.6551164049810504,
|
| 950 |
+
"grad_norm": 1.656842589378357,
|
| 951 |
+
"learning_rate": 7.303949627933601e-06,
|
| 952 |
+
"loss": 0.22114207744598388,
|
| 953 |
+
"step": 1210
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 0.660530590146183,
|
| 957 |
+
"grad_norm": 1.733744740486145,
|
| 958 |
+
"learning_rate": 7.189467658843733e-06,
|
| 959 |
+
"loss": 0.19672303199768065,
|
| 960 |
+
"step": 1220
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 0.6659447753113157,
|
| 964 |
+
"grad_norm": 2.984363079071045,
|
| 965 |
+
"learning_rate": 7.074985689753864e-06,
|
| 966 |
+
"loss": 0.19985967874526978,
|
| 967 |
+
"step": 1230
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"epoch": 0.6713589604764483,
|
| 971 |
+
"grad_norm": 2.040590286254883,
|
| 972 |
+
"learning_rate": 6.9605037206639955e-06,
|
| 973 |
+
"loss": 0.20405862331390381,
|
| 974 |
+
"step": 1240
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 0.676773145641581,
|
| 978 |
+
"grad_norm": 2.7927029132843018,
|
| 979 |
+
"learning_rate": 6.846021751574128e-06,
|
| 980 |
+
"loss": 0.1785689115524292,
|
| 981 |
+
"step": 1250
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 0.6821873308067136,
|
| 985 |
+
"grad_norm": 2.0617730617523193,
|
| 986 |
+
"learning_rate": 6.731539782484258e-06,
|
| 987 |
+
"loss": 0.23286046981811523,
|
| 988 |
+
"step": 1260
|
| 989 |
+
},
|
| 990 |
+
{
|
| 991 |
+
"epoch": 0.6876015159718463,
|
| 992 |
+
"grad_norm": 1.4006119966506958,
|
| 993 |
+
"learning_rate": 6.617057813394391e-06,
|
| 994 |
+
"loss": 0.15599097013473512,
|
| 995 |
+
"step": 1270
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 0.6930157011369789,
|
| 999 |
+
"grad_norm": 1.0037789344787598,
|
| 1000 |
+
"learning_rate": 6.502575844304523e-06,
|
| 1001 |
+
"loss": 0.18484125137329102,
|
| 1002 |
+
"step": 1280
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 0.6984298863021116,
|
| 1006 |
+
"grad_norm": 1.9619852304458618,
|
| 1007 |
+
"learning_rate": 6.388093875214654e-06,
|
| 1008 |
+
"loss": 0.17117856740951537,
|
| 1009 |
+
"step": 1290
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 0.7038440714672441,
|
| 1013 |
+
"grad_norm": 1.8951348066329956,
|
| 1014 |
+
"learning_rate": 6.273611906124786e-06,
|
| 1015 |
+
"loss": 0.15421656370162964,
|
| 1016 |
+
"step": 1300
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 0.7038440714672441,
|
| 1020 |
+
"eval_loss": 0.24713610112667084,
|
| 1021 |
+
"eval_runtime": 197.305,
|
| 1022 |
+
"eval_samples_per_second": 2.534,
|
| 1023 |
+
"eval_steps_per_second": 0.041,
|
| 1024 |
+
"step": 1300
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.7092582566323768,
|
| 1028 |
+
"grad_norm": 1.8595006465911865,
|
| 1029 |
+
"learning_rate": 6.159129937034918e-06,
|
| 1030 |
+
"loss": 0.20136659145355223,
|
| 1031 |
+
"step": 1310
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.7146724417975094,
|
| 1035 |
+
"grad_norm": 1.911445140838623,
|
| 1036 |
+
"learning_rate": 6.044647967945049e-06,
|
| 1037 |
+
"loss": 0.22435379028320312,
|
| 1038 |
+
"step": 1320
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.7200866269626421,
|
| 1042 |
+
"grad_norm": 2.9821128845214844,
|
| 1043 |
+
"learning_rate": 5.930165998855181e-06,
|
| 1044 |
+
"loss": 0.17085719108581543,
|
| 1045 |
+
"step": 1330
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.7255008121277747,
|
| 1049 |
+
"grad_norm": 3.1084084510803223,
|
| 1050 |
+
"learning_rate": 5.8156840297653125e-06,
|
| 1051 |
+
"loss": 0.2252281427383423,
|
| 1052 |
+
"step": 1340
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.7309149972929074,
|
| 1056 |
+
"grad_norm": 3.328385353088379,
|
| 1057 |
+
"learning_rate": 5.7012020606754436e-06,
|
| 1058 |
+
"loss": 0.1808006763458252,
|
| 1059 |
+
"step": 1350
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.73632918245804,
|
| 1063 |
+
"grad_norm": 5.224213123321533,
|
| 1064 |
+
"learning_rate": 5.586720091585575e-06,
|
| 1065 |
+
"loss": 0.21561839580535888,
|
| 1066 |
+
"step": 1360
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.7417433676231727,
|
| 1070 |
+
"grad_norm": 2.294597625732422,
|
| 1071 |
+
"learning_rate": 5.472238122495708e-06,
|
| 1072 |
+
"loss": 0.1859654188156128,
|
| 1073 |
+
"step": 1370
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.7471575527883053,
|
| 1077 |
+
"grad_norm": 9.48151969909668,
|
| 1078 |
+
"learning_rate": 5.357756153405838e-06,
|
| 1079 |
+
"loss": 0.23293592929840087,
|
| 1080 |
+
"step": 1380
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.752571737953438,
|
| 1084 |
+
"grad_norm": 3.8372254371643066,
|
| 1085 |
+
"learning_rate": 5.243274184315971e-06,
|
| 1086 |
+
"loss": 0.2260469913482666,
|
| 1087 |
+
"step": 1390
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.7579859231185706,
|
| 1091 |
+
"grad_norm": 3.6920197010040283,
|
| 1092 |
+
"learning_rate": 5.128792215226103e-06,
|
| 1093 |
+
"loss": 0.24736006259918214,
|
| 1094 |
+
"step": 1400
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.7579859231185706,
|
| 1098 |
+
"eval_loss": 0.24021951854228973,
|
| 1099 |
+
"eval_runtime": 201.5415,
|
| 1100 |
+
"eval_samples_per_second": 2.481,
|
| 1101 |
+
"eval_steps_per_second": 0.04,
|
| 1102 |
+
"step": 1400
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.7634001082837033,
|
| 1106 |
+
"grad_norm": 1.501937985420227,
|
| 1107 |
+
"learning_rate": 5.014310246136234e-06,
|
| 1108 |
+
"loss": 0.18035067319869996,
|
| 1109 |
+
"step": 1410
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.7688142934488359,
|
| 1113 |
+
"grad_norm": 3.374809503555298,
|
| 1114 |
+
"learning_rate": 4.899828277046366e-06,
|
| 1115 |
+
"loss": 0.21222240924835206,
|
| 1116 |
+
"step": 1420
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.7742284786139686,
|
| 1120 |
+
"grad_norm": 3.993654251098633,
|
| 1121 |
+
"learning_rate": 4.785346307956497e-06,
|
| 1122 |
+
"loss": 0.22286715507507324,
|
| 1123 |
+
"step": 1430
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.7796426637791013,
|
| 1127 |
+
"grad_norm": 2.5385210514068604,
|
| 1128 |
+
"learning_rate": 4.6708643388666295e-06,
|
| 1129 |
+
"loss": 0.1685676693916321,
|
| 1130 |
+
"step": 1440
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.7850568489442339,
|
| 1134 |
+
"grad_norm": 8.243449211120605,
|
| 1135 |
+
"learning_rate": 4.5563823697767606e-06,
|
| 1136 |
+
"loss": 0.1630874752998352,
|
| 1137 |
+
"step": 1450
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.7904710341093666,
|
| 1141 |
+
"grad_norm": 2.1819725036621094,
|
| 1142 |
+
"learning_rate": 4.4419004006868924e-06,
|
| 1143 |
+
"loss": 0.14002175331115724,
|
| 1144 |
+
"step": 1460
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.7958852192744992,
|
| 1148 |
+
"grad_norm": 1.8207204341888428,
|
| 1149 |
+
"learning_rate": 4.3274184315970235e-06,
|
| 1150 |
+
"loss": 0.21312854290008545,
|
| 1151 |
+
"step": 1470
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.8012994044396319,
|
| 1155 |
+
"grad_norm": 2.690337657928467,
|
| 1156 |
+
"learning_rate": 4.212936462507155e-06,
|
| 1157 |
+
"loss": 0.20999128818511964,
|
| 1158 |
+
"step": 1480
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.8067135896047645,
|
| 1162 |
+
"grad_norm": 3.4996583461761475,
|
| 1163 |
+
"learning_rate": 4.098454493417287e-06,
|
| 1164 |
+
"loss": 0.2015742063522339,
|
| 1165 |
+
"step": 1490
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.8121277747698972,
|
| 1169 |
+
"grad_norm": 5.295816898345947,
|
| 1170 |
+
"learning_rate": 3.983972524327418e-06,
|
| 1171 |
+
"loss": 0.18731640577316283,
|
| 1172 |
+
"step": 1500
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.8121277747698972,
|
| 1176 |
+
"eval_loss": 0.24025236070156097,
|
| 1177 |
+
"eval_runtime": 205.0466,
|
| 1178 |
+
"eval_samples_per_second": 2.438,
|
| 1179 |
+
"eval_steps_per_second": 0.039,
|
| 1180 |
+
"step": 1500
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 0.8175419599350298,
|
| 1184 |
+
"grad_norm": 2.626138687133789,
|
| 1185 |
+
"learning_rate": 3.869490555237551e-06,
|
| 1186 |
+
"loss": 0.2093656301498413,
|
| 1187 |
+
"step": 1510
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 0.8229561451001625,
|
| 1191 |
+
"grad_norm": 3.203584909439087,
|
| 1192 |
+
"learning_rate": 3.755008586147682e-06,
|
| 1193 |
+
"loss": 0.2214874267578125,
|
| 1194 |
+
"step": 1520
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 0.828370330265295,
|
| 1198 |
+
"grad_norm": 4.272320747375488,
|
| 1199 |
+
"learning_rate": 3.6405266170578134e-06,
|
| 1200 |
+
"loss": 0.2030639171600342,
|
| 1201 |
+
"step": 1530
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 0.8337845154304278,
|
| 1205 |
+
"grad_norm": 3.8653929233551025,
|
| 1206 |
+
"learning_rate": 3.5260446479679457e-06,
|
| 1207 |
+
"loss": 0.21513140201568604,
|
| 1208 |
+
"step": 1540
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 0.8391987005955603,
|
| 1212 |
+
"grad_norm": 1.6656320095062256,
|
| 1213 |
+
"learning_rate": 3.411562678878077e-06,
|
| 1214 |
+
"loss": 0.1873192310333252,
|
| 1215 |
+
"step": 1550
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 0.844612885760693,
|
| 1219 |
+
"grad_norm": 3.7267749309539795,
|
| 1220 |
+
"learning_rate": 3.2970807097882086e-06,
|
| 1221 |
+
"loss": 0.2560776710510254,
|
| 1222 |
+
"step": 1560
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 0.8500270709258256,
|
| 1226 |
+
"grad_norm": 2.020503282546997,
|
| 1227 |
+
"learning_rate": 3.1825987406983405e-06,
|
| 1228 |
+
"loss": 0.22832510471343995,
|
| 1229 |
+
"step": 1570
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 0.8554412560909583,
|
| 1233 |
+
"grad_norm": 3.3405399322509766,
|
| 1234 |
+
"learning_rate": 3.068116771608472e-06,
|
| 1235 |
+
"loss": 0.2855821132659912,
|
| 1236 |
+
"step": 1580
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 0.8608554412560909,
|
| 1240 |
+
"grad_norm": 4.161988735198975,
|
| 1241 |
+
"learning_rate": 2.9536348025186033e-06,
|
| 1242 |
+
"loss": 0.2596909999847412,
|
| 1243 |
+
"step": 1590
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 0.8662696264212236,
|
| 1247 |
+
"grad_norm": 2.9795329570770264,
|
| 1248 |
+
"learning_rate": 2.839152833428735e-06,
|
| 1249 |
+
"loss": 0.23321220874786378,
|
| 1250 |
+
"step": 1600
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 0.8662696264212236,
|
| 1254 |
+
"eval_loss": 0.23008832335472107,
|
| 1255 |
+
"eval_runtime": 199.7244,
|
| 1256 |
+
"eval_samples_per_second": 2.503,
|
| 1257 |
+
"eval_steps_per_second": 0.04,
|
| 1258 |
+
"step": 1600
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.8716838115863562,
|
| 1262 |
+
"grad_norm": 2.333751916885376,
|
| 1263 |
+
"learning_rate": 2.724670864338867e-06,
|
| 1264 |
+
"loss": 0.18981714248657228,
|
| 1265 |
+
"step": 1610
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.8770979967514889,
|
| 1269 |
+
"grad_norm": 2.537992238998413,
|
| 1270 |
+
"learning_rate": 2.6101888952489985e-06,
|
| 1271 |
+
"loss": 0.20572936534881592,
|
| 1272 |
+
"step": 1620
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 0.8825121819166215,
|
| 1276 |
+
"grad_norm": 2.639810562133789,
|
| 1277 |
+
"learning_rate": 2.49570692615913e-06,
|
| 1278 |
+
"loss": 0.19441728591918944,
|
| 1279 |
+
"step": 1630
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 0.8879263670817542,
|
| 1283 |
+
"grad_norm": 4.594723701477051,
|
| 1284 |
+
"learning_rate": 2.381224957069262e-06,
|
| 1285 |
+
"loss": 0.23592715263366698,
|
| 1286 |
+
"step": 1640
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 0.8933405522468868,
|
| 1290 |
+
"grad_norm": 1.656269907951355,
|
| 1291 |
+
"learning_rate": 2.2667429879793933e-06,
|
| 1292 |
+
"loss": 0.2300281286239624,
|
| 1293 |
+
"step": 1650
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.8987547374120195,
|
| 1297 |
+
"grad_norm": 2.857682943344116,
|
| 1298 |
+
"learning_rate": 2.152261018889525e-06,
|
| 1299 |
+
"loss": 0.136912739276886,
|
| 1300 |
+
"step": 1660
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 0.9041689225771521,
|
| 1304 |
+
"grad_norm": 0.9192827939987183,
|
| 1305 |
+
"learning_rate": 2.0377790497996566e-06,
|
| 1306 |
+
"loss": 0.1558546781539917,
|
| 1307 |
+
"step": 1670
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.9095831077422848,
|
| 1311 |
+
"grad_norm": 2.1612555980682373,
|
| 1312 |
+
"learning_rate": 1.9232970807097885e-06,
|
| 1313 |
+
"loss": 0.18931626081466674,
|
| 1314 |
+
"step": 1680
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.9149972929074174,
|
| 1318 |
+
"grad_norm": 0.5950096845626831,
|
| 1319 |
+
"learning_rate": 1.8088151116199201e-06,
|
| 1320 |
+
"loss": 0.2016817569732666,
|
| 1321 |
+
"step": 1690
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.9204114780725501,
|
| 1325 |
+
"grad_norm": 3.5624423027038574,
|
| 1326 |
+
"learning_rate": 1.6943331425300516e-06,
|
| 1327 |
+
"loss": 0.19636456966400145,
|
| 1328 |
+
"step": 1700
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 0.9204114780725501,
|
| 1332 |
+
"eval_loss": 0.23311281204223633,
|
| 1333 |
+
"eval_runtime": 199.3664,
|
| 1334 |
+
"eval_samples_per_second": 2.508,
|
| 1335 |
+
"eval_steps_per_second": 0.04,
|
| 1336 |
+
"step": 1700
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 0.9258256632376828,
|
| 1340 |
+
"grad_norm": 2.2664475440979004,
|
| 1341 |
+
"learning_rate": 1.5798511734401832e-06,
|
| 1342 |
+
"loss": 0.2285313606262207,
|
| 1343 |
+
"step": 1710
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.9312398484028154,
|
| 1347 |
+
"grad_norm": 3.5705580711364746,
|
| 1348 |
+
"learning_rate": 1.465369204350315e-06,
|
| 1349 |
+
"loss": 0.1859218120574951,
|
| 1350 |
+
"step": 1720
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 0.9366540335679481,
|
| 1354 |
+
"grad_norm": 2.9145383834838867,
|
| 1355 |
+
"learning_rate": 1.3508872352604466e-06,
|
| 1356 |
+
"loss": 0.1987086296081543,
|
| 1357 |
+
"step": 1730
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 0.9420682187330807,
|
| 1361 |
+
"grad_norm": 2.9760794639587402,
|
| 1362 |
+
"learning_rate": 1.2364052661705782e-06,
|
| 1363 |
+
"loss": 0.18447954654693605,
|
| 1364 |
+
"step": 1740
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 0.9474824038982134,
|
| 1368 |
+
"grad_norm": 2.6048951148986816,
|
| 1369 |
+
"learning_rate": 1.1219232970807099e-06,
|
| 1370 |
+
"loss": 0.1942603349685669,
|
| 1371 |
+
"step": 1750
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 0.952896589063346,
|
| 1375 |
+
"grad_norm": 2.2810306549072266,
|
| 1376 |
+
"learning_rate": 1.0074413279908415e-06,
|
| 1377 |
+
"loss": 0.18738332986831666,
|
| 1378 |
+
"step": 1760
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 0.9583107742284787,
|
| 1382 |
+
"grad_norm": 2.824094772338867,
|
| 1383 |
+
"learning_rate": 8.929593589009732e-07,
|
| 1384 |
+
"loss": 0.14145716428756713,
|
| 1385 |
+
"step": 1770
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.9637249593936112,
|
| 1389 |
+
"grad_norm": 2.267519235610962,
|
| 1390 |
+
"learning_rate": 7.784773898111047e-07,
|
| 1391 |
+
"loss": 0.2008665084838867,
|
| 1392 |
+
"step": 1780
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 0.969139144558744,
|
| 1396 |
+
"grad_norm": 3.057860851287842,
|
| 1397 |
+
"learning_rate": 6.639954207212365e-07,
|
| 1398 |
+
"loss": 0.21448450088500975,
|
| 1399 |
+
"step": 1790
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 0.9745533297238765,
|
| 1403 |
+
"grad_norm": 1.798217535018921,
|
| 1404 |
+
"learning_rate": 5.495134516313682e-07,
|
| 1405 |
+
"loss": 0.1896081805229187,
|
| 1406 |
+
"step": 1800
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 0.9745533297238765,
|
| 1410 |
+
"eval_loss": 0.2321406900882721,
|
| 1411 |
+
"eval_runtime": 198.8104,
|
| 1412 |
+
"eval_samples_per_second": 2.515,
|
| 1413 |
+
"eval_steps_per_second": 0.04,
|
| 1414 |
+
"step": 1800
|
| 1415 |
+
},
|
| 1416 |
+
{
|
| 1417 |
+
"epoch": 0.9799675148890092,
|
| 1418 |
+
"grad_norm": 1.8614650964736938,
|
| 1419 |
+
"learning_rate": 4.350314825414997e-07,
|
| 1420 |
+
"loss": 0.18881338834762573,
|
| 1421 |
+
"step": 1810
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 0.9853817000541418,
|
| 1425 |
+
"grad_norm": 2.053508996963501,
|
| 1426 |
+
"learning_rate": 3.2054951345163143e-07,
|
| 1427 |
+
"loss": 0.19796223640441896,
|
| 1428 |
+
"step": 1820
|
| 1429 |
+
},
|
| 1430 |
+
{
|
| 1431 |
+
"epoch": 0.9907958852192745,
|
| 1432 |
+
"grad_norm": 2.887795925140381,
|
| 1433 |
+
"learning_rate": 2.0606754436176304e-07,
|
| 1434 |
+
"loss": 0.22852680683135987,
|
| 1435 |
+
"step": 1830
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"epoch": 0.9962100703844071,
|
| 1439 |
+
"grad_norm": 2.2565934658050537,
|
| 1440 |
+
"learning_rate": 9.158557527189468e-08,
|
| 1441 |
+
"loss": 0.2269829273223877,
|
| 1442 |
+
"step": 1840
|
| 1443 |
+
}
|
| 1444 |
+
],
|
| 1445 |
+
"logging_steps": 10,
|
| 1446 |
+
"max_steps": 1847,
|
| 1447 |
+
"num_input_tokens_seen": 0,
|
| 1448 |
+
"num_train_epochs": 1,
|
| 1449 |
+
"save_steps": 500,
|
| 1450 |
+
"stateful_callbacks": {
|
| 1451 |
+
"TrainerControl": {
|
| 1452 |
+
"args": {
|
| 1453 |
+
"should_epoch_stop": false,
|
| 1454 |
+
"should_evaluate": false,
|
| 1455 |
+
"should_log": false,
|
| 1456 |
+
"should_save": true,
|
| 1457 |
+
"should_training_stop": true
|
| 1458 |
+
},
|
| 1459 |
+
"attributes": {}
|
| 1460 |
+
}
|
| 1461 |
+
},
|
| 1462 |
+
"total_flos": 0.0,
|
| 1463 |
+
"train_batch_size": 64,
|
| 1464 |
+
"trial_name": null,
|
| 1465 |
+
"trial_params": null
|
| 1466 |
+
}
|