Ivan Chelombiev
commited on
Commit
•
cf75a0c
1
Parent(s):
29e3760
End of training
Browse files- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +2477 -0
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.04,
|
3 |
+
"train_loss": 0.0,
|
4 |
+
"train_runtime": 2723907.25,
|
5 |
+
"train_samples": 16407928,
|
6 |
+
"train_samples_per_second": 0.006,
|
7 |
+
"train_steps_per_second": 0.0
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.04,
|
3 |
+
"train_loss": 0.0,
|
4 |
+
"train_runtime": 2723907.25,
|
5 |
+
"train_samples": 16407928,
|
6 |
+
"train_samples_per_second": 0.006,
|
7 |
+
"train_steps_per_second": 0.0
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2477 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.035964035964036,
|
5 |
+
"global_step": 2038,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.0,
|
12 |
+
"learning_rate": 0.0013736056394868903,
|
13 |
+
"loss": 1.4723,
|
14 |
+
"step": 5
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 0.0019425717247145285,
|
19 |
+
"loss": 1.568,
|
20 |
+
"step": 10
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.01,
|
24 |
+
"learning_rate": 0.0023791547571544325,
|
25 |
+
"loss": 1.2706,
|
26 |
+
"step": 15
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.02,
|
30 |
+
"learning_rate": 0.0027472112789737805,
|
31 |
+
"loss": 1.3258,
|
32 |
+
"step": 20
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.02,
|
36 |
+
"learning_rate": 0.003071475584169756,
|
37 |
+
"loss": 1.2558,
|
38 |
+
"step": 25
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.03,
|
42 |
+
"learning_rate": 0.0033646329245522657,
|
43 |
+
"loss": 0.8074,
|
44 |
+
"step": 30
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.03,
|
48 |
+
"learning_rate": 0.0036342189215581556,
|
49 |
+
"loss": 1.4713,
|
50 |
+
"step": 35
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.04,
|
54 |
+
"learning_rate": 0.003885143449429057,
|
55 |
+
"loss": 1.2681,
|
56 |
+
"step": 40
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.04,
|
60 |
+
"learning_rate": 0.004120816918460671,
|
61 |
+
"loss": 1.2291,
|
62 |
+
"step": 45
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.05,
|
66 |
+
"learning_rate": 0.004343722427630694,
|
67 |
+
"loss": 1.306,
|
68 |
+
"step": 50
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.05,
|
72 |
+
"learning_rate": 0.004555734516094203,
|
73 |
+
"loss": 1.1953,
|
74 |
+
"step": 55
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.06,
|
78 |
+
"learning_rate": 0.004758309514308865,
|
79 |
+
"loss": 1.2176,
|
80 |
+
"step": 60
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.06,
|
84 |
+
"learning_rate": 0.0049526055654364855,
|
85 |
+
"loss": 1.2338,
|
86 |
+
"step": 65
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.07,
|
90 |
+
"learning_rate": 0.005139561687500467,
|
91 |
+
"loss": 1.381,
|
92 |
+
"step": 70
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.07,
|
96 |
+
"learning_rate": 0.005319951765989316,
|
97 |
+
"loss": 1.5546,
|
98 |
+
"step": 75
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.08,
|
102 |
+
"learning_rate": 0.005494422557947561,
|
103 |
+
"loss": 1.5126,
|
104 |
+
"step": 80
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.08,
|
108 |
+
"learning_rate": 0.005663521139548541,
|
109 |
+
"loss": 1.5132,
|
110 |
+
"step": 85
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.09,
|
114 |
+
"learning_rate": 0.005827715174143585,
|
115 |
+
"loss": 1.2736,
|
116 |
+
"step": 90
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.09,
|
120 |
+
"learning_rate": 0.005987408170800916,
|
121 |
+
"loss": 1.1807,
|
122 |
+
"step": 95
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.1,
|
126 |
+
"learning_rate": 0.006142951168339512,
|
127 |
+
"loss": 1.392,
|
128 |
+
"step": 100
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1,
|
132 |
+
"learning_rate": 0.0062946518179668965,
|
133 |
+
"loss": 1.4068,
|
134 |
+
"step": 105
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.11,
|
138 |
+
"learning_rate": 0.0064427815392316505,
|
139 |
+
"loss": 1.2436,
|
140 |
+
"step": 110
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.11,
|
144 |
+
"learning_rate": 0.0065875812264513545,
|
145 |
+
"loss": 1.6382,
|
146 |
+
"step": 115
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.12,
|
150 |
+
"learning_rate": 0.006729265849104531,
|
151 |
+
"loss": 1.5855,
|
152 |
+
"step": 120
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.12,
|
156 |
+
"learning_rate": 0.006868028197434452,
|
157 |
+
"loss": 1.8619,
|
158 |
+
"step": 125
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.13,
|
162 |
+
"learning_rate": 0.007004041959724749,
|
163 |
+
"loss": 1.4162,
|
164 |
+
"step": 130
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.13,
|
168 |
+
"learning_rate": 0.007137464271463298,
|
169 |
+
"loss": 1.397,
|
170 |
+
"step": 135
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.14,
|
174 |
+
"learning_rate": 0.007268437843116311,
|
175 |
+
"loss": 1.376,
|
176 |
+
"step": 140
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.14,
|
180 |
+
"learning_rate": 0.0073970927486462865,
|
181 |
+
"loss": 1.5437,
|
182 |
+
"step": 145
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.15,
|
186 |
+
"learning_rate": 0.007523547938632788,
|
187 |
+
"loss": 1.8505,
|
188 |
+
"step": 150
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.15,
|
192 |
+
"learning_rate": 0.0076479125281174514,
|
193 |
+
"loss": 1.3138,
|
194 |
+
"step": 155
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.16,
|
198 |
+
"learning_rate": 0.007770286898858114,
|
199 |
+
"loss": 1.6157,
|
200 |
+
"step": 160
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.16,
|
204 |
+
"learning_rate": 0.00789076364767037,
|
205 |
+
"loss": 1.4061,
|
206 |
+
"step": 165
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.17,
|
210 |
+
"learning_rate": 0.008009428406336274,
|
211 |
+
"loss": 1.4829,
|
212 |
+
"step": 170
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.17,
|
216 |
+
"learning_rate": 0.008126360553720012,
|
217 |
+
"loss": 1.3897,
|
218 |
+
"step": 175
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.18,
|
222 |
+
"learning_rate": 0.008241633836921341,
|
223 |
+
"loss": 1.3801,
|
224 |
+
"step": 180
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.18,
|
228 |
+
"learning_rate": 0.008355316915277182,
|
229 |
+
"loss": 1.6133,
|
230 |
+
"step": 185
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.19,
|
234 |
+
"learning_rate": 0.008467473838610143,
|
235 |
+
"loss": 1.6826,
|
236 |
+
"step": 190
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.19,
|
240 |
+
"learning_rate": 0.008578164469184382,
|
241 |
+
"loss": 1.6101,
|
242 |
+
"step": 195
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.2,
|
246 |
+
"learning_rate": 0.008687444855261389,
|
247 |
+
"loss": 1.7164,
|
248 |
+
"step": 200
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.2,
|
252 |
+
"learning_rate": 0.008795367562872955,
|
253 |
+
"loss": 1.6603,
|
254 |
+
"step": 205
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.21,
|
258 |
+
"learning_rate": 0.008901981971385245,
|
259 |
+
"loss": 1.3604,
|
260 |
+
"step": 210
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.21,
|
264 |
+
"learning_rate": 0.009007334537569819,
|
265 |
+
"loss": 1.5517,
|
266 |
+
"step": 215
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.22,
|
270 |
+
"learning_rate": 0.009111469032188405,
|
271 |
+
"loss": 1.6048,
|
272 |
+
"step": 220
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.22,
|
276 |
+
"learning_rate": 0.009214426752509268,
|
277 |
+
"loss": 1.6281,
|
278 |
+
"step": 225
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.23,
|
282 |
+
"learning_rate": 0.009316246713681893,
|
283 |
+
"loss": 2.1204,
|
284 |
+
"step": 230
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.23,
|
288 |
+
"learning_rate": 0.009416965821485117,
|
289 |
+
"loss": 1.6439,
|
290 |
+
"step": 235
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.24,
|
294 |
+
"learning_rate": 0.00951661902861773,
|
295 |
+
"loss": 1.6982,
|
296 |
+
"step": 240
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.24,
|
300 |
+
"learning_rate": 0.009615239476408233,
|
301 |
+
"loss": 1.857,
|
302 |
+
"step": 245
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.25,
|
306 |
+
"learning_rate": 0.009712858623572643,
|
307 |
+
"loss": 1.5612,
|
308 |
+
"step": 250
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.25,
|
312 |
+
"learning_rate": 0.009809506363438459,
|
313 |
+
"loss": 1.4843,
|
314 |
+
"step": 255
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.26,
|
318 |
+
"learning_rate": 0.009905211130872971,
|
319 |
+
"loss": 1.81,
|
320 |
+
"step": 260
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.26,
|
324 |
+
"learning_rate": 0.01,
|
325 |
+
"loss": 1.5551,
|
326 |
+
"step": 265
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.27,
|
330 |
+
"learning_rate": 0.009971799492385787,
|
331 |
+
"loss": 1.8817,
|
332 |
+
"step": 270
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.27,
|
336 |
+
"learning_rate": 0.009943598984771575,
|
337 |
+
"loss": 1.7807,
|
338 |
+
"step": 275
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.28,
|
342 |
+
"learning_rate": 0.009915398477157361,
|
343 |
+
"loss": 1.7788,
|
344 |
+
"step": 280
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.28,
|
348 |
+
"learning_rate": 0.009887197969543148,
|
349 |
+
"loss": 1.9268,
|
350 |
+
"step": 285
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.29,
|
354 |
+
"learning_rate": 0.009858997461928934,
|
355 |
+
"loss": 1.767,
|
356 |
+
"step": 290
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.29,
|
360 |
+
"learning_rate": 0.00983079695431472,
|
361 |
+
"loss": 2.0681,
|
362 |
+
"step": 295
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.3,
|
366 |
+
"learning_rate": 0.009802596446700508,
|
367 |
+
"loss": 1.8078,
|
368 |
+
"step": 300
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.3,
|
372 |
+
"learning_rate": 0.009774395939086295,
|
373 |
+
"loss": 1.5819,
|
374 |
+
"step": 305
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.31,
|
378 |
+
"learning_rate": 0.009746195431472081,
|
379 |
+
"loss": 1.3608,
|
380 |
+
"step": 310
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.31,
|
384 |
+
"learning_rate": 0.00971799492385787,
|
385 |
+
"loss": 1.4035,
|
386 |
+
"step": 315
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.32,
|
390 |
+
"learning_rate": 0.009689794416243654,
|
391 |
+
"loss": 1.7838,
|
392 |
+
"step": 320
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.32,
|
396 |
+
"learning_rate": 0.009661593908629442,
|
397 |
+
"loss": 1.462,
|
398 |
+
"step": 325
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.33,
|
402 |
+
"learning_rate": 0.009633393401015228,
|
403 |
+
"loss": 1.8537,
|
404 |
+
"step": 330
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.33,
|
408 |
+
"learning_rate": 0.009605192893401015,
|
409 |
+
"loss": 1.6035,
|
410 |
+
"step": 335
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.34,
|
414 |
+
"learning_rate": 0.009576992385786803,
|
415 |
+
"loss": 1.7534,
|
416 |
+
"step": 340
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.34,
|
420 |
+
"learning_rate": 0.00954879187817259,
|
421 |
+
"loss": 1.5117,
|
422 |
+
"step": 345
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.35,
|
426 |
+
"learning_rate": 0.009520591370558376,
|
427 |
+
"loss": 1.6606,
|
428 |
+
"step": 350
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.35,
|
432 |
+
"learning_rate": 0.009492390862944162,
|
433 |
+
"loss": 2.2899,
|
434 |
+
"step": 355
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.36,
|
438 |
+
"learning_rate": 0.009464190355329949,
|
439 |
+
"loss": 1.6254,
|
440 |
+
"step": 360
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.36,
|
444 |
+
"learning_rate": 0.009435989847715737,
|
445 |
+
"loss": 1.7699,
|
446 |
+
"step": 365
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.37,
|
450 |
+
"learning_rate": 0.009407789340101523,
|
451 |
+
"loss": 1.5836,
|
452 |
+
"step": 370
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.37,
|
456 |
+
"learning_rate": 0.00937958883248731,
|
457 |
+
"loss": 1.9447,
|
458 |
+
"step": 375
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.38,
|
462 |
+
"learning_rate": 0.009351388324873098,
|
463 |
+
"loss": 1.7334,
|
464 |
+
"step": 380
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.38,
|
468 |
+
"learning_rate": 0.009323187817258882,
|
469 |
+
"loss": 1.5246,
|
470 |
+
"step": 385
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.39,
|
474 |
+
"learning_rate": 0.00929498730964467,
|
475 |
+
"loss": 1.7258,
|
476 |
+
"step": 390
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.39,
|
480 |
+
"learning_rate": 0.009266786802030457,
|
481 |
+
"loss": 1.6757,
|
482 |
+
"step": 395
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.4,
|
486 |
+
"learning_rate": 0.009238586294416243,
|
487 |
+
"loss": 1.7912,
|
488 |
+
"step": 400
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.4,
|
492 |
+
"learning_rate": 0.009210385786802031,
|
493 |
+
"loss": 1.8435,
|
494 |
+
"step": 405
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.41,
|
498 |
+
"learning_rate": 0.009182185279187818,
|
499 |
+
"loss": 2.0267,
|
500 |
+
"step": 410
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.41,
|
504 |
+
"learning_rate": 0.009153984771573604,
|
505 |
+
"loss": 1.6059,
|
506 |
+
"step": 415
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.42,
|
510 |
+
"learning_rate": 0.00912578426395939,
|
511 |
+
"loss": 1.7753,
|
512 |
+
"step": 420
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.42,
|
516 |
+
"learning_rate": 0.009097583756345177,
|
517 |
+
"loss": 1.988,
|
518 |
+
"step": 425
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.43,
|
522 |
+
"learning_rate": 0.009069383248730965,
|
523 |
+
"loss": 1.5201,
|
524 |
+
"step": 430
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.43,
|
528 |
+
"learning_rate": 0.009041182741116751,
|
529 |
+
"loss": 1.397,
|
530 |
+
"step": 435
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.44,
|
534 |
+
"learning_rate": 0.009012982233502538,
|
535 |
+
"loss": 1.7266,
|
536 |
+
"step": 440
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.44,
|
540 |
+
"learning_rate": 0.008984781725888326,
|
541 |
+
"loss": 1.6747,
|
542 |
+
"step": 445
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.45,
|
546 |
+
"learning_rate": 0.008956581218274112,
|
547 |
+
"loss": 1.5811,
|
548 |
+
"step": 450
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.45,
|
552 |
+
"learning_rate": 0.008928380710659899,
|
553 |
+
"loss": 1.4325,
|
554 |
+
"step": 455
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.46,
|
558 |
+
"learning_rate": 0.008900180203045685,
|
559 |
+
"loss": 1.9487,
|
560 |
+
"step": 460
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.46,
|
564 |
+
"learning_rate": 0.008871979695431471,
|
565 |
+
"loss": 1.4969,
|
566 |
+
"step": 465
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.47,
|
570 |
+
"learning_rate": 0.00884377918781726,
|
571 |
+
"loss": 1.6207,
|
572 |
+
"step": 470
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.47,
|
576 |
+
"learning_rate": 0.008815578680203046,
|
577 |
+
"loss": 1.9026,
|
578 |
+
"step": 475
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.48,
|
582 |
+
"learning_rate": 0.008787378172588832,
|
583 |
+
"loss": 1.6797,
|
584 |
+
"step": 480
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.48,
|
588 |
+
"learning_rate": 0.00875917766497462,
|
589 |
+
"loss": 1.5079,
|
590 |
+
"step": 485
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.49,
|
594 |
+
"learning_rate": 0.008730977157360405,
|
595 |
+
"loss": 1.5912,
|
596 |
+
"step": 490
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.49,
|
600 |
+
"learning_rate": 0.008702776649746193,
|
601 |
+
"loss": 1.706,
|
602 |
+
"step": 495
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.5,
|
606 |
+
"learning_rate": 0.00867457614213198,
|
607 |
+
"loss": 1.6559,
|
608 |
+
"step": 500
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.5,
|
612 |
+
"learning_rate": 0.008646375634517766,
|
613 |
+
"loss": 1.6109,
|
614 |
+
"step": 505
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.51,
|
618 |
+
"learning_rate": 0.008618175126903554,
|
619 |
+
"loss": 1.9024,
|
620 |
+
"step": 510
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.51,
|
624 |
+
"learning_rate": 0.00858997461928934,
|
625 |
+
"loss": 1.4508,
|
626 |
+
"step": 515
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.52,
|
630 |
+
"learning_rate": 0.008561774111675127,
|
631 |
+
"loss": 1.7011,
|
632 |
+
"step": 520
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.52,
|
636 |
+
"learning_rate": 0.008533573604060913,
|
637 |
+
"loss": 1.4233,
|
638 |
+
"step": 525
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.53,
|
642 |
+
"learning_rate": 0.0085053730964467,
|
643 |
+
"loss": 1.5886,
|
644 |
+
"step": 530
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.53,
|
648 |
+
"learning_rate": 0.008477172588832488,
|
649 |
+
"loss": 1.6088,
|
650 |
+
"step": 535
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.54,
|
654 |
+
"learning_rate": 0.008448972081218274,
|
655 |
+
"loss": 2.3507,
|
656 |
+
"step": 540
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.54,
|
660 |
+
"learning_rate": 0.00842077157360406,
|
661 |
+
"loss": 1.457,
|
662 |
+
"step": 545
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.55,
|
666 |
+
"learning_rate": 0.008392571065989849,
|
667 |
+
"loss": 1.7145,
|
668 |
+
"step": 550
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.55,
|
672 |
+
"learning_rate": 0.008364370558375635,
|
673 |
+
"loss": 1.6431,
|
674 |
+
"step": 555
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.56,
|
678 |
+
"learning_rate": 0.008336170050761421,
|
679 |
+
"loss": 1.6156,
|
680 |
+
"step": 560
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.56,
|
684 |
+
"learning_rate": 0.008307969543147208,
|
685 |
+
"loss": 1.4988,
|
686 |
+
"step": 565
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.57,
|
690 |
+
"learning_rate": 0.008279769035532994,
|
691 |
+
"loss": 1.6655,
|
692 |
+
"step": 570
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.57,
|
696 |
+
"learning_rate": 0.008251568527918782,
|
697 |
+
"loss": 1.3964,
|
698 |
+
"step": 575
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.58,
|
702 |
+
"learning_rate": 0.008223368020304569,
|
703 |
+
"loss": 1.5442,
|
704 |
+
"step": 580
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.58,
|
708 |
+
"learning_rate": 0.008195167512690355,
|
709 |
+
"loss": 1.576,
|
710 |
+
"step": 585
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.59,
|
714 |
+
"learning_rate": 0.008166967005076143,
|
715 |
+
"loss": 1.6838,
|
716 |
+
"step": 590
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.59,
|
720 |
+
"learning_rate": 0.008138766497461928,
|
721 |
+
"loss": 1.5472,
|
722 |
+
"step": 595
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.6,
|
726 |
+
"learning_rate": 0.008110565989847716,
|
727 |
+
"loss": 1.6603,
|
728 |
+
"step": 600
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.6,
|
732 |
+
"learning_rate": 0.008082365482233502,
|
733 |
+
"loss": 1.8896,
|
734 |
+
"step": 605
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.61,
|
738 |
+
"learning_rate": 0.008054164974619289,
|
739 |
+
"loss": 1.3879,
|
740 |
+
"step": 610
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.61,
|
744 |
+
"learning_rate": 0.008025964467005077,
|
745 |
+
"loss": 1.7506,
|
746 |
+
"step": 615
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.62,
|
750 |
+
"learning_rate": 0.007997763959390863,
|
751 |
+
"loss": 1.6107,
|
752 |
+
"step": 620
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.62,
|
756 |
+
"learning_rate": 0.00796956345177665,
|
757 |
+
"loss": 1.6015,
|
758 |
+
"step": 625
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.63,
|
762 |
+
"learning_rate": 0.007941362944162436,
|
763 |
+
"loss": 1.4905,
|
764 |
+
"step": 630
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.63,
|
768 |
+
"learning_rate": 0.007913162436548223,
|
769 |
+
"loss": 1.7908,
|
770 |
+
"step": 635
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.64,
|
774 |
+
"learning_rate": 0.00788496192893401,
|
775 |
+
"loss": 1.5734,
|
776 |
+
"step": 640
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 0.64,
|
780 |
+
"learning_rate": 0.007856761421319797,
|
781 |
+
"loss": 1.4382,
|
782 |
+
"step": 645
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 0.65,
|
786 |
+
"learning_rate": 0.007828560913705583,
|
787 |
+
"loss": 1.5483,
|
788 |
+
"step": 650
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.65,
|
792 |
+
"learning_rate": 0.00780036040609137,
|
793 |
+
"loss": 1.4697,
|
794 |
+
"step": 655
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.66,
|
798 |
+
"learning_rate": 0.007772159898477159,
|
799 |
+
"loss": 1.5878,
|
800 |
+
"step": 660
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.66,
|
804 |
+
"learning_rate": 0.007743959390862944,
|
805 |
+
"loss": 1.9756,
|
806 |
+
"step": 665
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 0.67,
|
810 |
+
"learning_rate": 0.007715758883248732,
|
811 |
+
"loss": 1.6656,
|
812 |
+
"step": 670
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 0.67,
|
816 |
+
"learning_rate": 0.007687558375634519,
|
817 |
+
"loss": 1.6744,
|
818 |
+
"step": 675
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 0.68,
|
822 |
+
"learning_rate": 0.007659357868020306,
|
823 |
+
"loss": 1.762,
|
824 |
+
"step": 680
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 0.68,
|
828 |
+
"learning_rate": 0.0076311573604060925,
|
829 |
+
"loss": 1.6982,
|
830 |
+
"step": 685
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.69,
|
834 |
+
"learning_rate": 0.007602956852791878,
|
835 |
+
"loss": 1.4908,
|
836 |
+
"step": 690
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.69,
|
840 |
+
"learning_rate": 0.007574756345177666,
|
841 |
+
"loss": 1.6065,
|
842 |
+
"step": 695
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.7,
|
846 |
+
"learning_rate": 0.0075465558375634526,
|
847 |
+
"loss": 1.2293,
|
848 |
+
"step": 700
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 0.7,
|
852 |
+
"learning_rate": 0.007518355329949239,
|
853 |
+
"loss": 1.6052,
|
854 |
+
"step": 705
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 0.71,
|
858 |
+
"learning_rate": 0.007490154822335025,
|
859 |
+
"loss": 1.3118,
|
860 |
+
"step": 710
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.71,
|
864 |
+
"learning_rate": 0.0074619543147208135,
|
865 |
+
"loss": 1.1742,
|
866 |
+
"step": 715
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 0.72,
|
870 |
+
"learning_rate": 0.0074337538071066,
|
871 |
+
"loss": 1.632,
|
872 |
+
"step": 720
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 0.72,
|
876 |
+
"learning_rate": 0.007405553299492385,
|
877 |
+
"loss": 1.6181,
|
878 |
+
"step": 725
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.73,
|
882 |
+
"learning_rate": 0.007377352791878174,
|
883 |
+
"loss": 1.6726,
|
884 |
+
"step": 730
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.73,
|
888 |
+
"learning_rate": 0.00734915228426396,
|
889 |
+
"loss": 1.5759,
|
890 |
+
"step": 735
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 0.74,
|
894 |
+
"learning_rate": 0.007320951776649747,
|
895 |
+
"loss": 1.3197,
|
896 |
+
"step": 740
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.74,
|
900 |
+
"learning_rate": 0.0072927512690355335,
|
901 |
+
"loss": 1.8665,
|
902 |
+
"step": 745
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.75,
|
906 |
+
"learning_rate": 0.007264550761421322,
|
907 |
+
"loss": 1.1938,
|
908 |
+
"step": 750
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 0.75,
|
912 |
+
"learning_rate": 0.007236350253807108,
|
913 |
+
"loss": 1.2782,
|
914 |
+
"step": 755
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.76,
|
918 |
+
"learning_rate": 0.0072081497461928936,
|
919 |
+
"loss": 1.6276,
|
920 |
+
"step": 760
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.76,
|
924 |
+
"learning_rate": 0.007179949238578682,
|
925 |
+
"loss": 1.5382,
|
926 |
+
"step": 765
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.77,
|
930 |
+
"learning_rate": 0.007151748730964467,
|
931 |
+
"loss": 1.5528,
|
932 |
+
"step": 770
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.77,
|
936 |
+
"learning_rate": 0.0071235482233502545,
|
937 |
+
"loss": 1.663,
|
938 |
+
"step": 775
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.78,
|
942 |
+
"learning_rate": 0.007095347715736042,
|
943 |
+
"loss": 1.5098,
|
944 |
+
"step": 780
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 0.78,
|
948 |
+
"learning_rate": 0.007067147208121828,
|
949 |
+
"loss": 1.781,
|
950 |
+
"step": 785
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 0.79,
|
954 |
+
"learning_rate": 0.007038946700507615,
|
955 |
+
"loss": 1.3787,
|
956 |
+
"step": 790
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 0.79,
|
960 |
+
"learning_rate": 0.007010746192893401,
|
961 |
+
"loss": 2.1853,
|
962 |
+
"step": 795
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.8,
|
966 |
+
"learning_rate": 0.006982545685279189,
|
967 |
+
"loss": 1.6639,
|
968 |
+
"step": 800
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.8,
|
972 |
+
"learning_rate": 0.006954345177664975,
|
973 |
+
"loss": 1.7152,
|
974 |
+
"step": 805
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.81,
|
978 |
+
"learning_rate": 0.006926144670050761,
|
979 |
+
"loss": 1.8148,
|
980 |
+
"step": 810
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.81,
|
984 |
+
"learning_rate": 0.006897944162436549,
|
985 |
+
"loss": 1.6564,
|
986 |
+
"step": 815
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 0.82,
|
990 |
+
"learning_rate": 0.0068697436548223354,
|
991 |
+
"loss": 1.3046,
|
992 |
+
"step": 820
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 0.82,
|
996 |
+
"learning_rate": 0.006841543147208123,
|
997 |
+
"loss": 1.3462,
|
998 |
+
"step": 825
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.83,
|
1002 |
+
"learning_rate": 0.006813342639593909,
|
1003 |
+
"loss": 1.4969,
|
1004 |
+
"step": 830
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.83,
|
1008 |
+
"learning_rate": 0.006785142131979697,
|
1009 |
+
"loss": 1.7367,
|
1010 |
+
"step": 835
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.84,
|
1014 |
+
"learning_rate": 0.006756941624365483,
|
1015 |
+
"loss": 1.5385,
|
1016 |
+
"step": 840
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.84,
|
1020 |
+
"learning_rate": 0.00672874111675127,
|
1021 |
+
"loss": 1.5918,
|
1022 |
+
"step": 845
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 0.85,
|
1026 |
+
"learning_rate": 0.006700540609137057,
|
1027 |
+
"loss": 1.4092,
|
1028 |
+
"step": 850
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.85,
|
1032 |
+
"learning_rate": 0.006672340101522844,
|
1033 |
+
"loss": 1.6609,
|
1034 |
+
"step": 855
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 0.86,
|
1038 |
+
"learning_rate": 0.006644139593908631,
|
1039 |
+
"loss": 1.6529,
|
1040 |
+
"step": 860
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 0.86,
|
1044 |
+
"learning_rate": 0.006615939086294417,
|
1045 |
+
"loss": 2.0543,
|
1046 |
+
"step": 865
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 0.87,
|
1050 |
+
"learning_rate": 0.0065877385786802046,
|
1051 |
+
"loss": 1.7507,
|
1052 |
+
"step": 870
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.87,
|
1056 |
+
"learning_rate": 0.00655953807106599,
|
1057 |
+
"loss": 1.3364,
|
1058 |
+
"step": 875
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.88,
|
1062 |
+
"learning_rate": 0.0065313375634517765,
|
1063 |
+
"loss": 1.5436,
|
1064 |
+
"step": 880
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 0.88,
|
1068 |
+
"learning_rate": 0.006503137055837565,
|
1069 |
+
"loss": 1.5808,
|
1070 |
+
"step": 885
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 0.89,
|
1074 |
+
"learning_rate": 0.00647493654822335,
|
1075 |
+
"loss": 1.1435,
|
1076 |
+
"step": 890
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 0.89,
|
1080 |
+
"learning_rate": 0.006446736040609138,
|
1081 |
+
"loss": 1.7857,
|
1082 |
+
"step": 895
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 0.9,
|
1086 |
+
"learning_rate": 0.006418535532994924,
|
1087 |
+
"loss": 1.506,
|
1088 |
+
"step": 900
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.9,
|
1092 |
+
"learning_rate": 0.006390335025380713,
|
1093 |
+
"loss": 1.5276,
|
1094 |
+
"step": 905
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.91,
|
1098 |
+
"learning_rate": 0.006362134517766498,
|
1099 |
+
"loss": 1.7656,
|
1100 |
+
"step": 910
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 0.91,
|
1104 |
+
"learning_rate": 0.006333934010152285,
|
1105 |
+
"loss": 1.2465,
|
1106 |
+
"step": 915
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 0.92,
|
1110 |
+
"learning_rate": 0.006305733502538073,
|
1111 |
+
"loss": 1.1414,
|
1112 |
+
"step": 920
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.92,
|
1116 |
+
"learning_rate": 0.006277532994923858,
|
1117 |
+
"loss": 1.7263,
|
1118 |
+
"step": 925
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.93,
|
1122 |
+
"learning_rate": 0.0062493324873096456,
|
1123 |
+
"loss": 1.6158,
|
1124 |
+
"step": 930
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 0.93,
|
1128 |
+
"learning_rate": 0.006221131979695433,
|
1129 |
+
"loss": 1.3896,
|
1130 |
+
"step": 935
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 0.94,
|
1134 |
+
"learning_rate": 0.00619293147208122,
|
1135 |
+
"loss": 1.8046,
|
1136 |
+
"step": 940
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.94,
|
1140 |
+
"learning_rate": 0.006164730964467006,
|
1141 |
+
"loss": 1.6806,
|
1142 |
+
"step": 945
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 0.95,
|
1146 |
+
"learning_rate": 0.006136530456852793,
|
1147 |
+
"loss": 1.7003,
|
1148 |
+
"step": 950
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 0.95,
|
1152 |
+
"learning_rate": 0.006108329949238579,
|
1153 |
+
"loss": 1.4235,
|
1154 |
+
"step": 955
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.96,
|
1158 |
+
"learning_rate": 0.006080129441624366,
|
1159 |
+
"loss": 1.5528,
|
1160 |
+
"step": 960
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.96,
|
1164 |
+
"learning_rate": 0.006051928934010154,
|
1165 |
+
"loss": 1.6251,
|
1166 |
+
"step": 965
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 0.97,
|
1170 |
+
"learning_rate": 0.006023728426395939,
|
1171 |
+
"loss": 1.7944,
|
1172 |
+
"step": 970
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.97,
|
1176 |
+
"learning_rate": 0.0059955279187817265,
|
1177 |
+
"loss": 1.6361,
|
1178 |
+
"step": 975
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.98,
|
1182 |
+
"learning_rate": 0.005967327411167512,
|
1183 |
+
"loss": 1.6142,
|
1184 |
+
"step": 980
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 0.98,
|
1188 |
+
"learning_rate": 0.0059391269035533,
|
1189 |
+
"loss": 1.6014,
|
1190 |
+
"step": 985
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 0.99,
|
1194 |
+
"learning_rate": 0.005910926395939088,
|
1195 |
+
"loss": 1.5756,
|
1196 |
+
"step": 990
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.99,
|
1200 |
+
"learning_rate": 0.005882725888324872,
|
1201 |
+
"loss": 1.2877,
|
1202 |
+
"step": 995
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 1.0,
|
1206 |
+
"learning_rate": 0.005854525380710661,
|
1207 |
+
"loss": 1.6494,
|
1208 |
+
"step": 1000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 1.0,
|
1212 |
+
"learning_rate": 0.005826324873096447,
|
1213 |
+
"loss": 1.4704,
|
1214 |
+
"step": 1005
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 1.01,
|
1218 |
+
"learning_rate": 0.005798124365482234,
|
1219 |
+
"loss": 1.3735,
|
1220 |
+
"step": 1010
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 1.01,
|
1224 |
+
"learning_rate": 0.005769923857868021,
|
1225 |
+
"loss": 1.3836,
|
1226 |
+
"step": 1015
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 1.02,
|
1230 |
+
"learning_rate": 0.005741723350253808,
|
1231 |
+
"loss": 1.4496,
|
1232 |
+
"step": 1020
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 1.02,
|
1236 |
+
"learning_rate": 0.005713522842639595,
|
1237 |
+
"loss": 1.4613,
|
1238 |
+
"step": 1025
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 1.03,
|
1242 |
+
"learning_rate": 0.00568532233502538,
|
1243 |
+
"loss": 1.4161,
|
1244 |
+
"step": 1030
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 1.03,
|
1248 |
+
"learning_rate": 0.0056571218274111676,
|
1249 |
+
"loss": 1.592,
|
1250 |
+
"step": 1035
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 1.04,
|
1254 |
+
"learning_rate": 0.005628921319796955,
|
1255 |
+
"loss": 1.585,
|
1256 |
+
"step": 1040
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 1.04,
|
1260 |
+
"learning_rate": 0.005600720812182741,
|
1261 |
+
"loss": 1.2444,
|
1262 |
+
"step": 1045
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 1.05,
|
1266 |
+
"learning_rate": 0.005572520304568528,
|
1267 |
+
"loss": 1.3218,
|
1268 |
+
"step": 1050
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 1.05,
|
1272 |
+
"learning_rate": 0.005544319796954316,
|
1273 |
+
"loss": 1.4106,
|
1274 |
+
"step": 1055
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 1.06,
|
1278 |
+
"learning_rate": 0.005516119289340102,
|
1279 |
+
"loss": 1.6454,
|
1280 |
+
"step": 1060
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 1.06,
|
1284 |
+
"learning_rate": 0.005487918781725888,
|
1285 |
+
"loss": 1.4884,
|
1286 |
+
"step": 1065
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 1.07,
|
1290 |
+
"learning_rate": 0.005459718274111677,
|
1291 |
+
"loss": 1.387,
|
1292 |
+
"step": 1070
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 1.07,
|
1296 |
+
"learning_rate": 0.005431517766497462,
|
1297 |
+
"loss": 1.5909,
|
1298 |
+
"step": 1075
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 1.08,
|
1302 |
+
"learning_rate": 0.005403317258883249,
|
1303 |
+
"loss": 1.2899,
|
1304 |
+
"step": 1080
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 1.08,
|
1308 |
+
"learning_rate": 0.005375116751269036,
|
1309 |
+
"loss": 1.2528,
|
1310 |
+
"step": 1085
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 1.09,
|
1314 |
+
"learning_rate": 0.005346916243654824,
|
1315 |
+
"loss": 1.3185,
|
1316 |
+
"step": 1090
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 1.09,
|
1320 |
+
"learning_rate": 0.00531871573604061,
|
1321 |
+
"loss": 1.751,
|
1322 |
+
"step": 1095
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 1.1,
|
1326 |
+
"learning_rate": 0.005290515228426396,
|
1327 |
+
"loss": 1.2762,
|
1328 |
+
"step": 1100
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 1.1,
|
1332 |
+
"learning_rate": 0.005262314720812184,
|
1333 |
+
"loss": 1.4006,
|
1334 |
+
"step": 1105
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 1.11,
|
1338 |
+
"learning_rate": 0.0052341142131979695,
|
1339 |
+
"loss": 1.3565,
|
1340 |
+
"step": 1110
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 1.11,
|
1344 |
+
"learning_rate": 0.005205913705583757,
|
1345 |
+
"loss": 1.7962,
|
1346 |
+
"step": 1115
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 1.12,
|
1350 |
+
"learning_rate": 0.005177713197969543,
|
1351 |
+
"loss": 1.3809,
|
1352 |
+
"step": 1120
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 1.12,
|
1356 |
+
"learning_rate": 0.00514951269035533,
|
1357 |
+
"loss": 1.6438,
|
1358 |
+
"step": 1125
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 1.13,
|
1362 |
+
"learning_rate": 0.005121312182741118,
|
1363 |
+
"loss": 1.4397,
|
1364 |
+
"step": 1130
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 1.13,
|
1368 |
+
"learning_rate": 0.005093111675126903,
|
1369 |
+
"loss": 1.8387,
|
1370 |
+
"step": 1135
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 1.14,
|
1374 |
+
"learning_rate": 0.005064911167512691,
|
1375 |
+
"loss": 1.4722,
|
1376 |
+
"step": 1140
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 1.14,
|
1380 |
+
"learning_rate": 0.005036710659898478,
|
1381 |
+
"loss": 1.6683,
|
1382 |
+
"step": 1145
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 1.15,
|
1386 |
+
"learning_rate": 0.005008510152284263,
|
1387 |
+
"loss": 1.3579,
|
1388 |
+
"step": 1150
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 1.15,
|
1392 |
+
"learning_rate": 0.004980309644670051,
|
1393 |
+
"loss": 1.4072,
|
1394 |
+
"step": 1155
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 1.16,
|
1398 |
+
"learning_rate": 0.004952109137055839,
|
1399 |
+
"loss": 1.4808,
|
1400 |
+
"step": 1160
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 1.16,
|
1404 |
+
"learning_rate": 0.004923908629441625,
|
1405 |
+
"loss": 1.37,
|
1406 |
+
"step": 1165
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 1.17,
|
1410 |
+
"learning_rate": 0.004895708121827412,
|
1411 |
+
"loss": 1.4239,
|
1412 |
+
"step": 1170
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 1.17,
|
1416 |
+
"learning_rate": 0.004867507614213198,
|
1417 |
+
"loss": 1.6803,
|
1418 |
+
"step": 1175
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 1.18,
|
1422 |
+
"learning_rate": 0.004839307106598985,
|
1423 |
+
"loss": 1.3899,
|
1424 |
+
"step": 1180
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 1.18,
|
1428 |
+
"learning_rate": 0.004811106598984772,
|
1429 |
+
"loss": 1.209,
|
1430 |
+
"step": 1185
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 1.19,
|
1434 |
+
"learning_rate": 0.004782906091370559,
|
1435 |
+
"loss": 1.3444,
|
1436 |
+
"step": 1190
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 1.19,
|
1440 |
+
"learning_rate": 0.004754705583756346,
|
1441 |
+
"loss": 1.5994,
|
1442 |
+
"step": 1195
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 1.2,
|
1446 |
+
"learning_rate": 0.004726505076142133,
|
1447 |
+
"loss": 1.7138,
|
1448 |
+
"step": 1200
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 1.2,
|
1452 |
+
"learning_rate": 0.0046983045685279196,
|
1453 |
+
"loss": 1.6732,
|
1454 |
+
"step": 1205
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 1.21,
|
1458 |
+
"learning_rate": 0.004670104060913706,
|
1459 |
+
"loss": 1.6533,
|
1460 |
+
"step": 1210
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 1.21,
|
1464 |
+
"learning_rate": 0.004641903553299492,
|
1465 |
+
"loss": 1.4821,
|
1466 |
+
"step": 1215
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 1.22,
|
1470 |
+
"learning_rate": 0.00461370304568528,
|
1471 |
+
"loss": 1.9074,
|
1472 |
+
"step": 1220
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 1.22,
|
1476 |
+
"learning_rate": 0.004585502538071067,
|
1477 |
+
"loss": 1.6595,
|
1478 |
+
"step": 1225
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 1.23,
|
1482 |
+
"learning_rate": 0.004557302030456853,
|
1483 |
+
"loss": 1.5424,
|
1484 |
+
"step": 1230
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 1.23,
|
1488 |
+
"learning_rate": 0.0045291015228426405,
|
1489 |
+
"loss": 1.669,
|
1490 |
+
"step": 1235
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 1.24,
|
1494 |
+
"learning_rate": 0.004500901015228428,
|
1495 |
+
"loss": 1.7157,
|
1496 |
+
"step": 1240
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 1.24,
|
1500 |
+
"learning_rate": 0.004472700507614213,
|
1501 |
+
"loss": 1.3508,
|
1502 |
+
"step": 1245
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 1.25,
|
1506 |
+
"learning_rate": 0.0044445000000000005,
|
1507 |
+
"loss": 1.6086,
|
1508 |
+
"step": 1250
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 1.25,
|
1512 |
+
"learning_rate": 0.004416299492385787,
|
1513 |
+
"loss": 2.1126,
|
1514 |
+
"step": 1255
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 1.26,
|
1518 |
+
"learning_rate": 0.004388098984771574,
|
1519 |
+
"loss": 1.2235,
|
1520 |
+
"step": 1260
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 1.26,
|
1524 |
+
"learning_rate": 0.0043598984771573614,
|
1525 |
+
"loss": 1.3403,
|
1526 |
+
"step": 1265
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 1.27,
|
1530 |
+
"learning_rate": 0.004331697969543148,
|
1531 |
+
"loss": 1.4274,
|
1532 |
+
"step": 1270
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 1.27,
|
1536 |
+
"learning_rate": 0.004303497461928934,
|
1537 |
+
"loss": 1.4858,
|
1538 |
+
"step": 1275
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 1.28,
|
1542 |
+
"learning_rate": 0.0042752969543147215,
|
1543 |
+
"loss": 1.4251,
|
1544 |
+
"step": 1280
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 1.28,
|
1548 |
+
"learning_rate": 0.004247096446700508,
|
1549 |
+
"loss": 1.2581,
|
1550 |
+
"step": 1285
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 1.29,
|
1554 |
+
"learning_rate": 0.004218895939086295,
|
1555 |
+
"loss": 1.3023,
|
1556 |
+
"step": 1290
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 1.29,
|
1560 |
+
"learning_rate": 0.0041906954314720815,
|
1561 |
+
"loss": 1.2824,
|
1562 |
+
"step": 1295
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 1.3,
|
1566 |
+
"learning_rate": 0.004162494923857869,
|
1567 |
+
"loss": 1.6138,
|
1568 |
+
"step": 1300
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 1.3,
|
1572 |
+
"learning_rate": 0.004134294416243656,
|
1573 |
+
"loss": 1.6641,
|
1574 |
+
"step": 1305
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 1.31,
|
1578 |
+
"learning_rate": 0.0041060939086294415,
|
1579 |
+
"loss": 1.2635,
|
1580 |
+
"step": 1310
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 1.31,
|
1584 |
+
"learning_rate": 0.004077893401015229,
|
1585 |
+
"loss": 1.5835,
|
1586 |
+
"step": 1315
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 1.32,
|
1590 |
+
"learning_rate": 0.004049692893401016,
|
1591 |
+
"loss": 1.6182,
|
1592 |
+
"step": 1320
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 1.32,
|
1596 |
+
"learning_rate": 0.0040214923857868025,
|
1597 |
+
"loss": 1.2402,
|
1598 |
+
"step": 1325
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 1.33,
|
1602 |
+
"learning_rate": 0.00399329187817259,
|
1603 |
+
"loss": 1.6024,
|
1604 |
+
"step": 1330
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 1.33,
|
1608 |
+
"learning_rate": 0.003965091370558376,
|
1609 |
+
"loss": 1.3873,
|
1610 |
+
"step": 1335
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 1.34,
|
1614 |
+
"learning_rate": 0.003936890862944163,
|
1615 |
+
"loss": 1.5199,
|
1616 |
+
"step": 1340
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 1.34,
|
1620 |
+
"learning_rate": 0.00390869035532995,
|
1621 |
+
"loss": 1.3065,
|
1622 |
+
"step": 1345
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 1.35,
|
1626 |
+
"learning_rate": 0.0038804898477157357,
|
1627 |
+
"loss": 1.3709,
|
1628 |
+
"step": 1350
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 1.35,
|
1632 |
+
"learning_rate": 0.003852289340101523,
|
1633 |
+
"loss": 1.5692,
|
1634 |
+
"step": 1355
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 1.36,
|
1638 |
+
"learning_rate": 0.0038240888324873098,
|
1639 |
+
"loss": 1.2774,
|
1640 |
+
"step": 1360
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 1.36,
|
1644 |
+
"learning_rate": 0.003795888324873097,
|
1645 |
+
"loss": 1.3966,
|
1646 |
+
"step": 1365
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 1.37,
|
1650 |
+
"learning_rate": 0.0037676878172588843,
|
1651 |
+
"loss": 1.0405,
|
1652 |
+
"step": 1370
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 1.37,
|
1656 |
+
"learning_rate": 0.0037394873096446707,
|
1657 |
+
"loss": 1.6305,
|
1658 |
+
"step": 1375
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 1.38,
|
1662 |
+
"learning_rate": 0.003711286802030457,
|
1663 |
+
"loss": 1.3404,
|
1664 |
+
"step": 1380
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 1.38,
|
1668 |
+
"learning_rate": 0.0036830862944162435,
|
1669 |
+
"loss": 1.5225,
|
1670 |
+
"step": 1385
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 1.39,
|
1674 |
+
"learning_rate": 0.0036548857868020303,
|
1675 |
+
"loss": 1.4402,
|
1676 |
+
"step": 1390
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 1.39,
|
1680 |
+
"learning_rate": 0.0036266852791878175,
|
1681 |
+
"loss": 1.8302,
|
1682 |
+
"step": 1395
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 1.4,
|
1686 |
+
"learning_rate": 0.003598484771573604,
|
1687 |
+
"loss": 1.1884,
|
1688 |
+
"step": 1400
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 1.4,
|
1692 |
+
"learning_rate": 0.003570284263959391,
|
1693 |
+
"loss": 1.6533,
|
1694 |
+
"step": 1405
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 1.41,
|
1698 |
+
"learning_rate": 0.0035420837563451785,
|
1699 |
+
"loss": 1.449,
|
1700 |
+
"step": 1410
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 1.41,
|
1704 |
+
"learning_rate": 0.003513883248730964,
|
1705 |
+
"loss": 1.4537,
|
1706 |
+
"step": 1415
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 1.42,
|
1710 |
+
"learning_rate": 0.0034856827411167512,
|
1711 |
+
"loss": 1.4386,
|
1712 |
+
"step": 1420
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 1.42,
|
1716 |
+
"learning_rate": 0.003457482233502538,
|
1717 |
+
"loss": 1.3043,
|
1718 |
+
"step": 1425
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 1.43,
|
1722 |
+
"learning_rate": 0.0034292817258883244,
|
1723 |
+
"loss": 1.5577,
|
1724 |
+
"step": 1430
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 1.43,
|
1728 |
+
"learning_rate": 0.0034010812182741117,
|
1729 |
+
"loss": 1.6184,
|
1730 |
+
"step": 1435
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 1.44,
|
1734 |
+
"learning_rate": 0.003372880710659899,
|
1735 |
+
"loss": 1.2835,
|
1736 |
+
"step": 1440
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 1.44,
|
1740 |
+
"learning_rate": 0.0033446802030456858,
|
1741 |
+
"loss": 1.4659,
|
1742 |
+
"step": 1445
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 1.45,
|
1746 |
+
"learning_rate": 0.0033164796954314717,
|
1747 |
+
"loss": 1.1781,
|
1748 |
+
"step": 1450
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 1.45,
|
1752 |
+
"learning_rate": 0.0032882791878172586,
|
1753 |
+
"loss": 1.4166,
|
1754 |
+
"step": 1455
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 1.46,
|
1758 |
+
"learning_rate": 0.003260078680203046,
|
1759 |
+
"loss": 1.3821,
|
1760 |
+
"step": 1460
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 1.46,
|
1764 |
+
"learning_rate": 0.0032318781725888326,
|
1765 |
+
"loss": 1.417,
|
1766 |
+
"step": 1465
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 1.47,
|
1770 |
+
"learning_rate": 0.0032036776649746195,
|
1771 |
+
"loss": 1.0738,
|
1772 |
+
"step": 1470
|
1773 |
+
},
|
1774 |
+
{
|
1775 |
+
"epoch": 1.47,
|
1776 |
+
"learning_rate": 0.0031754771573604067,
|
1777 |
+
"loss": 1.2626,
|
1778 |
+
"step": 1475
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 1.48,
|
1782 |
+
"learning_rate": 0.0031472766497461935,
|
1783 |
+
"loss": 1.4132,
|
1784 |
+
"step": 1480
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 1.48,
|
1788 |
+
"learning_rate": 0.0031190761421319795,
|
1789 |
+
"loss": 1.3976,
|
1790 |
+
"step": 1485
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 1.49,
|
1794 |
+
"learning_rate": 0.0030908756345177663,
|
1795 |
+
"loss": 1.1655,
|
1796 |
+
"step": 1490
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 1.49,
|
1800 |
+
"learning_rate": 0.003062675126903553,
|
1801 |
+
"loss": 1.6067,
|
1802 |
+
"step": 1495
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 1.5,
|
1806 |
+
"learning_rate": 0.0030344746192893404,
|
1807 |
+
"loss": 1.2399,
|
1808 |
+
"step": 1500
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 1.5,
|
1812 |
+
"learning_rate": 0.0030062741116751272,
|
1813 |
+
"loss": 1.3499,
|
1814 |
+
"step": 1505
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 1.51,
|
1818 |
+
"learning_rate": 0.002978073604060914,
|
1819 |
+
"loss": 1.2958,
|
1820 |
+
"step": 1510
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 1.51,
|
1824 |
+
"learning_rate": 0.0029498730964467,
|
1825 |
+
"loss": 0.9839,
|
1826 |
+
"step": 1515
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 1.52,
|
1830 |
+
"learning_rate": 0.002921672588832487,
|
1831 |
+
"loss": 1.423,
|
1832 |
+
"step": 1520
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 1.52,
|
1836 |
+
"learning_rate": 0.002893472081218274,
|
1837 |
+
"loss": 1.4083,
|
1838 |
+
"step": 1525
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 1.53,
|
1842 |
+
"learning_rate": 0.002865271573604061,
|
1843 |
+
"loss": 1.552,
|
1844 |
+
"step": 1530
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 1.53,
|
1848 |
+
"learning_rate": 0.002837071065989848,
|
1849 |
+
"loss": 1.1468,
|
1850 |
+
"step": 1535
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 1.54,
|
1854 |
+
"learning_rate": 0.002808870558375635,
|
1855 |
+
"loss": 1.1524,
|
1856 |
+
"step": 1540
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 1.54,
|
1860 |
+
"learning_rate": 0.002780670050761422,
|
1861 |
+
"loss": 1.7909,
|
1862 |
+
"step": 1545
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 1.55,
|
1866 |
+
"learning_rate": 0.0027524695431472078,
|
1867 |
+
"loss": 1.2374,
|
1868 |
+
"step": 1550
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 1.55,
|
1872 |
+
"learning_rate": 0.0027242690355329946,
|
1873 |
+
"loss": 1.5076,
|
1874 |
+
"step": 1555
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 1.56,
|
1878 |
+
"learning_rate": 0.0026960685279187814,
|
1879 |
+
"loss": 1.2157,
|
1880 |
+
"step": 1560
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 1.56,
|
1884 |
+
"learning_rate": 0.0026678680203045687,
|
1885 |
+
"loss": 1.4255,
|
1886 |
+
"step": 1565
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 1.57,
|
1890 |
+
"learning_rate": 0.002639667512690356,
|
1891 |
+
"loss": 1.1614,
|
1892 |
+
"step": 1570
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 1.57,
|
1896 |
+
"learning_rate": 0.0026114670050761423,
|
1897 |
+
"loss": 1.2836,
|
1898 |
+
"step": 1575
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 1.58,
|
1902 |
+
"learning_rate": 0.0025832664974619296,
|
1903 |
+
"loss": 0.9739,
|
1904 |
+
"step": 1580
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 1.58,
|
1908 |
+
"learning_rate": 0.002555065989847715,
|
1909 |
+
"loss": 1.445,
|
1910 |
+
"step": 1585
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 1.59,
|
1914 |
+
"learning_rate": 0.0025268654822335024,
|
1915 |
+
"loss": 1.3724,
|
1916 |
+
"step": 1590
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 1.59,
|
1920 |
+
"learning_rate": 0.002498664974619289,
|
1921 |
+
"loss": 1.1985,
|
1922 |
+
"step": 1595
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 1.6,
|
1926 |
+
"learning_rate": 0.002470464467005076,
|
1927 |
+
"loss": 1.5102,
|
1928 |
+
"step": 1600
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 1.6,
|
1932 |
+
"learning_rate": 0.0024422639593908633,
|
1933 |
+
"loss": 1.4111,
|
1934 |
+
"step": 1605
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 1.61,
|
1938 |
+
"learning_rate": 0.00241406345177665,
|
1939 |
+
"loss": 1.4832,
|
1940 |
+
"step": 1610
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 1.61,
|
1944 |
+
"learning_rate": 0.002385862944162437,
|
1945 |
+
"loss": 1.7259,
|
1946 |
+
"step": 1615
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 1.62,
|
1950 |
+
"learning_rate": 0.002357662436548223,
|
1951 |
+
"loss": 1.4051,
|
1952 |
+
"step": 1620
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 1.62,
|
1956 |
+
"learning_rate": 0.0023294619289340097,
|
1957 |
+
"loss": 1.1585,
|
1958 |
+
"step": 1625
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 1.63,
|
1962 |
+
"learning_rate": 0.002301261421319797,
|
1963 |
+
"loss": 1.4892,
|
1964 |
+
"step": 1630
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 1.63,
|
1968 |
+
"learning_rate": 0.0022730609137055838,
|
1969 |
+
"loss": 1.2785,
|
1970 |
+
"step": 1635
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 1.64,
|
1974 |
+
"learning_rate": 0.0022448604060913706,
|
1975 |
+
"loss": 1.4697,
|
1976 |
+
"step": 1640
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 1.64,
|
1980 |
+
"learning_rate": 0.002216659898477158,
|
1981 |
+
"loss": 1.5335,
|
1982 |
+
"step": 1645
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 1.65,
|
1986 |
+
"learning_rate": 0.0021884593908629447,
|
1987 |
+
"loss": 1.6132,
|
1988 |
+
"step": 1650
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 1.65,
|
1992 |
+
"learning_rate": 0.0021602588832487306,
|
1993 |
+
"loss": 1.2333,
|
1994 |
+
"step": 1655
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 1.66,
|
1998 |
+
"learning_rate": 0.0021320583756345175,
|
1999 |
+
"loss": 1.7243,
|
2000 |
+
"step": 1660
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 1.66,
|
2004 |
+
"learning_rate": 0.0021038578680203043,
|
2005 |
+
"loss": 1.5654,
|
2006 |
+
"step": 1665
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 1.67,
|
2010 |
+
"learning_rate": 0.0020756573604060915,
|
2011 |
+
"loss": 1.3233,
|
2012 |
+
"step": 1670
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 1.67,
|
2016 |
+
"learning_rate": 0.0020474568527918784,
|
2017 |
+
"loss": 1.2538,
|
2018 |
+
"step": 1675
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 1.68,
|
2022 |
+
"learning_rate": 0.002019256345177665,
|
2023 |
+
"loss": 1.5129,
|
2024 |
+
"step": 1680
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 1.68,
|
2028 |
+
"learning_rate": 0.0019910558375634524,
|
2029 |
+
"loss": 1.2342,
|
2030 |
+
"step": 1685
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 1.69,
|
2034 |
+
"learning_rate": 0.001962855329949238,
|
2035 |
+
"loss": 1.2484,
|
2036 |
+
"step": 1690
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 1.69,
|
2040 |
+
"learning_rate": 0.0019346548223350254,
|
2041 |
+
"loss": 1.6045,
|
2042 |
+
"step": 1695
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 1.7,
|
2046 |
+
"learning_rate": 0.0019064543147208123,
|
2047 |
+
"loss": 1.2544,
|
2048 |
+
"step": 1700
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 1.7,
|
2052 |
+
"learning_rate": 0.0018782538071065993,
|
2053 |
+
"loss": 1.1989,
|
2054 |
+
"step": 1705
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 1.71,
|
2058 |
+
"learning_rate": 0.0018500532994923861,
|
2059 |
+
"loss": 1.3844,
|
2060 |
+
"step": 1710
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 1.71,
|
2064 |
+
"learning_rate": 0.0018218527918781732,
|
2065 |
+
"loss": 1.2898,
|
2066 |
+
"step": 1715
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 1.72,
|
2070 |
+
"learning_rate": 0.0017936522842639591,
|
2071 |
+
"loss": 1.176,
|
2072 |
+
"step": 1720
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 1.72,
|
2076 |
+
"learning_rate": 0.001765451776649746,
|
2077 |
+
"loss": 1.3886,
|
2078 |
+
"step": 1725
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 1.73,
|
2082 |
+
"learning_rate": 0.001737251269035533,
|
2083 |
+
"loss": 1.4818,
|
2084 |
+
"step": 1730
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 1.73,
|
2088 |
+
"learning_rate": 0.00170905076142132,
|
2089 |
+
"loss": 1.4334,
|
2090 |
+
"step": 1735
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 1.74,
|
2094 |
+
"learning_rate": 0.0016808502538071069,
|
2095 |
+
"loss": 1.3581,
|
2096 |
+
"step": 1740
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 1.74,
|
2100 |
+
"learning_rate": 0.0016526497461928939,
|
2101 |
+
"loss": 1.287,
|
2102 |
+
"step": 1745
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 1.75,
|
2106 |
+
"learning_rate": 0.0016244492385786807,
|
2107 |
+
"loss": 1.4921,
|
2108 |
+
"step": 1750
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 1.75,
|
2112 |
+
"learning_rate": 0.0015962487309644667,
|
2113 |
+
"loss": 1.6024,
|
2114 |
+
"step": 1755
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 1.76,
|
2118 |
+
"learning_rate": 0.001568048223350254,
|
2119 |
+
"loss": 1.3267,
|
2120 |
+
"step": 1760
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 1.76,
|
2124 |
+
"learning_rate": 0.0015398477157360405,
|
2125 |
+
"loss": 1.3324,
|
2126 |
+
"step": 1765
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 1.77,
|
2130 |
+
"learning_rate": 0.0015116472081218278,
|
2131 |
+
"loss": 1.4282,
|
2132 |
+
"step": 1770
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 1.77,
|
2136 |
+
"learning_rate": 0.0014834467005076146,
|
2137 |
+
"loss": 1.4165,
|
2138 |
+
"step": 1775
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 1.78,
|
2142 |
+
"learning_rate": 0.0014552461928934012,
|
2143 |
+
"loss": 1.5209,
|
2144 |
+
"step": 1780
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 1.78,
|
2148 |
+
"learning_rate": 0.0014270456852791885,
|
2149 |
+
"loss": 1.5915,
|
2150 |
+
"step": 1785
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 1.79,
|
2154 |
+
"learning_rate": 0.001398845177664974,
|
2155 |
+
"loss": 1.5822,
|
2156 |
+
"step": 1790
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 1.79,
|
2160 |
+
"learning_rate": 0.0013706446700507613,
|
2161 |
+
"loss": 1.4356,
|
2162 |
+
"step": 1795
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 1.8,
|
2166 |
+
"learning_rate": 0.0013424441624365483,
|
2167 |
+
"loss": 1.3999,
|
2168 |
+
"step": 1800
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 1.8,
|
2172 |
+
"learning_rate": 0.0013142436548223351,
|
2173 |
+
"loss": 1.3192,
|
2174 |
+
"step": 1805
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 1.81,
|
2178 |
+
"learning_rate": 0.0012860431472081222,
|
2179 |
+
"loss": 0.9928,
|
2180 |
+
"step": 1810
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 1.81,
|
2184 |
+
"learning_rate": 0.0012578426395939092,
|
2185 |
+
"loss": 1.7191,
|
2186 |
+
"step": 1815
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 1.82,
|
2190 |
+
"learning_rate": 0.001229642131979696,
|
2191 |
+
"loss": 1.2173,
|
2192 |
+
"step": 1820
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 1.82,
|
2196 |
+
"learning_rate": 0.001201441624365482,
|
2197 |
+
"loss": 1.1303,
|
2198 |
+
"step": 1825
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 1.83,
|
2202 |
+
"learning_rate": 0.0011732411167512688,
|
2203 |
+
"loss": 1.649,
|
2204 |
+
"step": 1830
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 1.83,
|
2208 |
+
"learning_rate": 0.0011450406091370558,
|
2209 |
+
"loss": 1.5897,
|
2210 |
+
"step": 1835
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 1.84,
|
2214 |
+
"learning_rate": 0.0011168401015228429,
|
2215 |
+
"loss": 1.163,
|
2216 |
+
"step": 1840
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 1.84,
|
2220 |
+
"learning_rate": 0.0010886395939086297,
|
2221 |
+
"loss": 1.1745,
|
2222 |
+
"step": 1845
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 1.85,
|
2226 |
+
"learning_rate": 0.0010604390862944168,
|
2227 |
+
"loss": 1.2499,
|
2228 |
+
"step": 1850
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 1.85,
|
2232 |
+
"learning_rate": 0.0010322385786802038,
|
2233 |
+
"loss": 1.1123,
|
2234 |
+
"step": 1855
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 1.86,
|
2238 |
+
"learning_rate": 0.0010040380710659895,
|
2239 |
+
"loss": 1.6267,
|
2240 |
+
"step": 1860
|
2241 |
+
},
|
2242 |
+
{
|
2243 |
+
"epoch": 1.86,
|
2244 |
+
"learning_rate": 0.0009758375634517764,
|
2245 |
+
"loss": 1.7138,
|
2246 |
+
"step": 1865
|
2247 |
+
},
|
2248 |
+
{
|
2249 |
+
"epoch": 1.87,
|
2250 |
+
"learning_rate": 0.0009476370558375634,
|
2251 |
+
"loss": 1.0705,
|
2252 |
+
"step": 1870
|
2253 |
+
},
|
2254 |
+
{
|
2255 |
+
"epoch": 1.87,
|
2256 |
+
"learning_rate": 0.0009194365482233503,
|
2257 |
+
"loss": 1.5925,
|
2258 |
+
"step": 1875
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 1.88,
|
2262 |
+
"learning_rate": 0.0008912360406091373,
|
2263 |
+
"loss": 1.2733,
|
2264 |
+
"step": 1880
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 1.88,
|
2268 |
+
"learning_rate": 0.0008630355329949242,
|
2269 |
+
"loss": 1.5511,
|
2270 |
+
"step": 1885
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 1.89,
|
2274 |
+
"learning_rate": 0.0008348350253807112,
|
2275 |
+
"loss": 1.3351,
|
2276 |
+
"step": 1890
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 1.89,
|
2280 |
+
"learning_rate": 0.000806634517766497,
|
2281 |
+
"loss": 1.1094,
|
2282 |
+
"step": 1895
|
2283 |
+
},
|
2284 |
+
{
|
2285 |
+
"epoch": 1.9,
|
2286 |
+
"learning_rate": 0.000778434010152284,
|
2287 |
+
"loss": 1.1718,
|
2288 |
+
"step": 1900
|
2289 |
+
},
|
2290 |
+
{
|
2291 |
+
"epoch": 1.9,
|
2292 |
+
"learning_rate": 0.0007502335025380709,
|
2293 |
+
"loss": 1.2751,
|
2294 |
+
"step": 1905
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 1.91,
|
2298 |
+
"learning_rate": 0.000722032994923858,
|
2299 |
+
"loss": 0.9808,
|
2300 |
+
"step": 1910
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 1.91,
|
2304 |
+
"learning_rate": 0.0006938324873096449,
|
2305 |
+
"loss": 1.5196,
|
2306 |
+
"step": 1915
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 1.92,
|
2310 |
+
"learning_rate": 0.0006656319796954318,
|
2311 |
+
"loss": 1.1567,
|
2312 |
+
"step": 1920
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 1.92,
|
2316 |
+
"learning_rate": 0.0006374314720812188,
|
2317 |
+
"loss": 1.2295,
|
2318 |
+
"step": 1925
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 1.93,
|
2322 |
+
"learning_rate": 0.0006092309644670046,
|
2323 |
+
"loss": 1.3395,
|
2324 |
+
"step": 1930
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 1.93,
|
2328 |
+
"learning_rate": 0.0005810304568527917,
|
2329 |
+
"loss": 1.2176,
|
2330 |
+
"step": 1935
|
2331 |
+
},
|
2332 |
+
{
|
2333 |
+
"epoch": 1.94,
|
2334 |
+
"learning_rate": 0.0005528299492385786,
|
2335 |
+
"loss": 1.2218,
|
2336 |
+
"step": 1940
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"epoch": 1.94,
|
2340 |
+
"learning_rate": 0.0005246294416243655,
|
2341 |
+
"loss": 1.1824,
|
2342 |
+
"step": 1945
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 1.95,
|
2346 |
+
"learning_rate": 0.0004964289340101526,
|
2347 |
+
"loss": 1.4026,
|
2348 |
+
"step": 1950
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 1.95,
|
2352 |
+
"learning_rate": 0.0004682284263959396,
|
2353 |
+
"loss": 1.391,
|
2354 |
+
"step": 1955
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 1.96,
|
2358 |
+
"learning_rate": 0.0004400279187817254,
|
2359 |
+
"loss": 1.5254,
|
2360 |
+
"step": 1960
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 1.96,
|
2364 |
+
"learning_rate": 0.0004118274111675124,
|
2365 |
+
"loss": 1.2331,
|
2366 |
+
"step": 1965
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 1.97,
|
2370 |
+
"learning_rate": 0.0003836269035532993,
|
2371 |
+
"loss": 1.2529,
|
2372 |
+
"step": 1970
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 1.97,
|
2376 |
+
"learning_rate": 0.00035542639593908625,
|
2377 |
+
"loss": 1.0726,
|
2378 |
+
"step": 1975
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 1.98,
|
2382 |
+
"learning_rate": 0.00032722588832487324,
|
2383 |
+
"loss": 1.2203,
|
2384 |
+
"step": 1980
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 1.98,
|
2388 |
+
"learning_rate": 0.0002990253807106602,
|
2389 |
+
"loss": 1.2456,
|
2390 |
+
"step": 1985
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 1.99,
|
2394 |
+
"learning_rate": 0.00027082487309644716,
|
2395 |
+
"loss": 1.3003,
|
2396 |
+
"step": 1990
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 1.99,
|
2400 |
+
"learning_rate": 0.00024262436548223298,
|
2401 |
+
"loss": 1.299,
|
2402 |
+
"step": 1995
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 2.0,
|
2406 |
+
"learning_rate": 0.00021442385786802,
|
2407 |
+
"loss": 1.488,
|
2408 |
+
"step": 2000
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 2.0,
|
2412 |
+
"learning_rate": 0.00018622335025380695,
|
2413 |
+
"loss": 937.4512,
|
2414 |
+
"step": 2005
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 2.01,
|
2418 |
+
"learning_rate": 0.00015802284263959394,
|
2419 |
+
"loss": 924.4408,
|
2420 |
+
"step": 2010
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 2.01,
|
2424 |
+
"learning_rate": 0.00012982233502538087,
|
2425 |
+
"loss": 903.1811,
|
2426 |
+
"step": 2015
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 2.02,
|
2430 |
+
"learning_rate": 0.00010162182741116783,
|
2431 |
+
"loss": 868.8327,
|
2432 |
+
"step": 2020
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 2.02,
|
2436 |
+
"learning_rate": 7.342131979695479e-05,
|
2437 |
+
"loss": 833.6856,
|
2438 |
+
"step": 2025
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 2.03,
|
2442 |
+
"learning_rate": 4.522081218274065e-05,
|
2443 |
+
"loss": 816.0007,
|
2444 |
+
"step": 2030
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 2.03,
|
2448 |
+
"learning_rate": 1.70203045685276e-05,
|
2449 |
+
"loss": 795.98,
|
2450 |
+
"step": 2035
|
2451 |
+
},
|
2452 |
+
{
|
2453 |
+
"epoch": 2.04,
|
2454 |
+
"step": 2038,
|
2455 |
+
"total_flos": 2.2810681001063887e+23,
|
2456 |
+
"train_loss": 16.08543400488377,
|
2457 |
+
"train_runtime": 323733.6046,
|
2458 |
+
"train_samples_per_second": 103.142,
|
2459 |
+
"train_steps_per_second": 0.006
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 2.04,
|
2463 |
+
"step": 2038,
|
2464 |
+
"total_flos": 2.2810681001063887e+23,
|
2465 |
+
"train_loss": 0.0,
|
2466 |
+
"train_runtime": 2723907.25,
|
2467 |
+
"train_samples_per_second": 0.006,
|
2468 |
+
"train_steps_per_second": 0.0
|
2469 |
+
}
|
2470 |
+
],
|
2471 |
+
"max_steps": 1,
|
2472 |
+
"num_train_epochs": 1,
|
2473 |
+
"start_time": 1663027920.2259,
|
2474 |
+
"total_flos": 2.2810681001063887e+23,
|
2475 |
+
"trial_name": null,
|
2476 |
+
"trial_params": null
|
2477 |
+
}
|