Hugging Face's logo

Circularmachines
/
MAE

Transformers
PyTorch
TensorBoard
vit_mae
pretraining
masked-auto-encoding
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
Circularmachines commited on
Commit
45c5770
•
1 Parent(s): 67d8c35

End of training

Browse files
Files changed (5) hide show
  1. all_results.json +11 -0
  2. eval_results.json +7 -0
  3. runs/May09_05-23-04_9a594e8f2c64/events.out.tfevents.1683610787.9a594e8f2c64.4853.2 +3 -0
  4. train_results.json +7 -0
  5. trainer_state.json +4653 -0
all_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 0.5655748844146729,
4
+ "eval_runtime": 58.2482,
5
+ "eval_samples_per_second": 186.735,
6
+ "eval_steps_per_second": 23.348,
7
+ "train_loss": 0.6247228051840988,
8
+ "train_runtime": 911.3454,
9
+ "train_samples_per_second": 67.629,
10
+ "train_steps_per_second": 8.455
11
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 0.5655748844146729,
4
+ "eval_runtime": 58.2482,
5
+ "eval_samples_per_second": 186.735,
6
+ "eval_steps_per_second": 23.348
7
+ }
runs/May09_05-23-04_9a594e8f2c64/events.out.tfevents.1683610787.9a594e8f2c64.4853.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d7f2487833da54541776a22d7c8719aed95f6e4b9d320efde6204225c16e7b1c
3
+ size 359
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 0.6247228051840988,
4
+ "train_runtime": 911.3454,
5
+ "train_samples_per_second": 67.629,
6
+ "train_steps_per_second": 8.455
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,4653 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.5662159323692322,
3
+ "best_model_checkpoint": "./vit-mae-demo/checkpoint-7705",
4
+ "epoch": 1.0,
5
+ "global_step": 7705,
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": 1.2143782383419688e-07,
13
+ "loss": 1.1962,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.0,
18
+ "learning_rate": 2.4287564766839375e-07,
19
+ "loss": 1.1898,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.0,
24
+ "learning_rate": 3.6431347150259065e-07,
25
+ "loss": 1.1806,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 4.857512953367875e-07,
31
+ "loss": 1.1654,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 6.071891191709843e-07,
37
+ "loss": 1.1466,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.01,
42
+ "learning_rate": 7.286269430051813e-07,
43
+ "loss": 1.1258,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.01,
48
+ "learning_rate": 8.500647668393782e-07,
49
+ "loss": 1.1007,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.01,
54
+ "learning_rate": 9.71502590673575e-07,
55
+ "loss": 1.0794,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.01,
60
+ "learning_rate": 1.092940414507772e-06,
61
+ "loss": 1.0455,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.01,
66
+ "learning_rate": 1.2143782383419686e-06,
67
+ "loss": 1.0274,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.01,
72
+ "learning_rate": 1.3358160621761657e-06,
73
+ "loss": 1.0019,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.02,
78
+ "learning_rate": 1.4572538860103626e-06,
79
+ "loss": 0.9826,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.02,
84
+ "learning_rate": 1.5786917098445593e-06,
85
+ "loss": 0.9774,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.02,
90
+ "learning_rate": 1.7001295336787564e-06,
91
+ "loss": 0.9693,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.02,
96
+ "learning_rate": 1.8215673575129531e-06,
97
+ "loss": 0.9425,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.02,
102
+ "learning_rate": 1.94300518134715e-06,
103
+ "loss": 0.9488,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.02,
108
+ "learning_rate": 2.064443005181347e-06,
109
+ "loss": 0.9207,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.02,
114
+ "learning_rate": 2.185880829015544e-06,
115
+ "loss": 0.9075,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.02,
120
+ "learning_rate": 2.3073186528497407e-06,
121
+ "loss": 0.9234,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.03,
126
+ "learning_rate": 2.428756476683937e-06,
127
+ "loss": 0.8749,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.03,
132
+ "learning_rate": 2.5501943005181345e-06,
133
+ "loss": 0.8928,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.03,
138
+ "learning_rate": 2.6716321243523314e-06,
139
+ "loss": 0.8831,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.03,
144
+ "learning_rate": 2.7930699481865283e-06,
145
+ "loss": 0.8802,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.03,
150
+ "learning_rate": 2.9145077720207252e-06,
151
+ "loss": 0.8831,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.03,
156
+ "learning_rate": 3.0359455958549217e-06,
157
+ "loss": 0.8745,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.03,
162
+ "learning_rate": 3.1573834196891186e-06,
163
+ "loss": 0.8503,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.04,
168
+ "learning_rate": 3.278821243523316e-06,
169
+ "loss": 0.8672,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.04,
174
+ "learning_rate": 3.400259067357513e-06,
175
+ "loss": 0.8717,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.04,
180
+ "learning_rate": 3.5216968911917097e-06,
181
+ "loss": 0.8471,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.04,
186
+ "learning_rate": 3.6431347150259062e-06,
187
+ "loss": 0.8562,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.04,
192
+ "learning_rate": 3.764572538860103e-06,
193
+ "loss": 0.8275,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.04,
198
+ "learning_rate": 3.8860103626943e-06,
199
+ "loss": 0.8412,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.04,
204
+ "learning_rate": 4.007448186528497e-06,
205
+ "loss": 0.8518,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.04,
210
+ "learning_rate": 4.128886010362694e-06,
211
+ "loss": 0.8227,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.05,
216
+ "learning_rate": 4.250323834196891e-06,
217
+ "loss": 0.8263,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.05,
222
+ "learning_rate": 4.371761658031088e-06,
223
+ "loss": 0.8236,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.05,
228
+ "learning_rate": 4.4931994818652845e-06,
229
+ "loss": 0.8543,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.05,
234
+ "learning_rate": 4.6146373056994814e-06,
235
+ "loss": 0.79,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.05,
240
+ "learning_rate": 4.6874965454028015e-06,
241
+ "loss": 0.8373,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.05,
246
+ "learning_rate": 4.687457681301278e-06,
247
+ "loss": 0.8063,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.05,
252
+ "learning_rate": 4.687375635570173e-06,
253
+ "loss": 0.8134,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.05,
258
+ "learning_rate": 4.687250409721135e-06,
259
+ "loss": 0.7963,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.06,
264
+ "learning_rate": 4.687082006061389e-06,
265
+ "loss": 0.802,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.06,
270
+ "learning_rate": 4.686870427693687e-06,
271
+ "loss": 0.8135,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.06,
276
+ "learning_rate": 4.686615678516253e-06,
277
+ "loss": 0.8251,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.06,
282
+ "learning_rate": 4.686317763222712e-06,
283
+ "loss": 0.7704,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.06,
288
+ "learning_rate": 4.685976687302003e-06,
289
+ "loss": 0.8015,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.06,
294
+ "learning_rate": 4.685592457038277e-06,
295
+ "loss": 0.7791,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.06,
300
+ "learning_rate": 4.6851650795107834e-06,
301
+ "loss": 0.8139,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.06,
306
+ "learning_rate": 4.684694562593737e-06,
307
+ "loss": 0.7643,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.07,
312
+ "learning_rate": 4.684180914956173e-06,
313
+ "loss": 0.7895,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.07,
318
+ "learning_rate": 4.68362414606179e-06,
319
+ "loss": 0.7852,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.07,
324
+ "learning_rate": 4.683024266168774e-06,
325
+ "loss": 0.789,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.07,
330
+ "learning_rate": 4.682381286329609e-06,
331
+ "loss": 0.7944,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 0.07,
336
+ "learning_rate": 4.6816952183908725e-06,
337
+ "loss": 0.7984,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 0.07,
342
+ "learning_rate": 4.680966074993021e-06,
343
+ "loss": 0.7705,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 0.07,
348
+ "learning_rate": 4.6801938695701525e-06,
349
+ "loss": 0.7555,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 0.08,
354
+ "learning_rate": 4.679378616349761e-06,
355
+ "loss": 0.7786,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 0.08,
360
+ "learning_rate": 4.678520330352476e-06,
361
+ "loss": 0.7742,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 0.08,
366
+ "learning_rate": 4.677619027391783e-06,
367
+ "loss": 0.7689,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 0.08,
372
+ "learning_rate": 4.676674724073732e-06,
373
+ "loss": 0.7746,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 0.08,
378
+ "learning_rate": 4.675687437796638e-06,
379
+ "loss": 0.7735,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 0.08,
384
+ "learning_rate": 4.674657186750749e-06,
385
+ "loss": 0.7922,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 0.08,
390
+ "learning_rate": 4.673583989917919e-06,
391
+ "loss": 0.7579,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 0.08,
396
+ "learning_rate": 4.67246786707126e-06,
397
+ "loss": 0.7654,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 0.09,
402
+ "learning_rate": 4.671308838774771e-06,
403
+ "loss": 0.7437,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 0.09,
408
+ "learning_rate": 4.67010692638296e-06,
409
+ "loss": 0.7607,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 0.09,
414
+ "learning_rate": 4.668862152040458e-06,
415
+ "loss": 0.7857,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 0.09,
420
+ "learning_rate": 4.667574538681602e-06,
421
+ "loss": 0.784,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 0.09,
426
+ "learning_rate": 4.666244110030018e-06,
427
+ "loss": 0.758,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 0.09,
432
+ "learning_rate": 4.664870890598181e-06,
433
+ "loss": 0.7385,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 0.09,
438
+ "learning_rate": 4.663454905686965e-06,
439
+ "loss": 0.7733,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 0.09,
444
+ "learning_rate": 4.661996181385176e-06,
445
+ "loss": 0.7574,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 0.1,
450
+ "learning_rate": 4.660494744569075e-06,
451
+ "loss": 0.7816,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 0.1,
456
+ "learning_rate": 4.658950622901873e-06,
457
+ "loss": 0.7538,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 0.1,
462
+ "learning_rate": 4.6573638448332325e-06,
463
+ "loss": 0.7728,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 0.1,
468
+ "learning_rate": 4.655734439598738e-06,
469
+ "loss": 0.7852,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 0.1,
474
+ "learning_rate": 4.654062437219358e-06,
475
+ "loss": 0.7509,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 0.1,
480
+ "learning_rate": 4.6523478685008895e-06,
481
+ "loss": 0.7577,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 0.1,
486
+ "learning_rate": 4.650590765033395e-06,
487
+ "loss": 0.8028,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 0.11,
492
+ "learning_rate": 4.64879115919062e-06,
493
+ "loss": 0.7585,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 0.11,
498
+ "learning_rate": 4.64694908412939e-06,
499
+ "loss": 0.749,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 0.11,
504
+ "learning_rate": 4.645064573789009e-06,
505
+ "loss": 0.7771,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 0.11,
510
+ "learning_rate": 4.643137662890627e-06,
511
+ "loss": 0.7645,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 0.11,
516
+ "learning_rate": 4.641168386936603e-06,
517
+ "loss": 0.7852,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 0.11,
522
+ "learning_rate": 4.639156782209853e-06,
523
+ "loss": 0.7746,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 0.11,
528
+ "learning_rate": 4.6371028857731744e-06,
529
+ "loss": 0.7709,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 0.11,
534
+ "learning_rate": 4.6350067354685745e-06,
535
+ "loss": 0.7612,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 0.12,
540
+ "learning_rate": 4.632868369916561e-06,
541
+ "loss": 0.7601,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 0.12,
546
+ "learning_rate": 4.630687828515439e-06,
547
+ "loss": 0.7647,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 0.12,
552
+ "learning_rate": 4.628465151440582e-06,
553
+ "loss": 0.8073,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 0.12,
558
+ "learning_rate": 4.626200379643692e-06,
559
+ "loss": 0.7374,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 0.12,
564
+ "learning_rate": 4.623893554852044e-06,
565
+ "loss": 0.7766,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 0.12,
570
+ "learning_rate": 4.62154471956772e-06,
571
+ "loss": 0.7578,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 0.12,
576
+ "learning_rate": 4.619153917066823e-06,
577
+ "loss": 0.7671,
578
+ "step": 950
579
+ },
580
+ {
581
+ "epoch": 0.12,
582
+ "learning_rate": 4.61672119139868e-06,
583
+ "loss": 0.7761,
584
+ "step": 960
585
+ },
586
+ {
587
+ "epoch": 0.13,
588
+ "learning_rate": 4.614246587385033e-06,
589
+ "loss": 0.7803,
590
+ "step": 970
591
+ },
592
+ {
593
+ "epoch": 0.13,
594
+ "learning_rate": 4.61173015061921e-06,
595
+ "loss": 0.7657,
596
+ "step": 980
597
+ },
598
+ {
599
+ "epoch": 0.13,
600
+ "learning_rate": 4.6091719274652855e-06,
601
+ "loss": 0.7659,
602
+ "step": 990
603
+ },
604
+ {
605
+ "epoch": 0.13,
606
+ "learning_rate": 4.6065719650572305e-06,
607
+ "loss": 0.7458,
608
+ "step": 1000
609
+ },
610
+ {
611
+ "epoch": 0.13,
612
+ "learning_rate": 4.603930311298037e-06,
613
+ "loss": 0.7511,
614
+ "step": 1010
615
+ },
616
+ {
617
+ "epoch": 0.13,
618
+ "learning_rate": 4.60124701485884e-06,
619
+ "loss": 0.7341,
620
+ "step": 1020
621
+ },
622
+ {
623
+ "epoch": 0.13,
624
+ "learning_rate": 4.598522125178022e-06,
625
+ "loss": 0.7825,
626
+ "step": 1030
627
+ },
628
+ {
629
+ "epoch": 0.13,
630
+ "learning_rate": 4.595755692460297e-06,
631
+ "loss": 0.7773,
632
+ "step": 1040
633
+ },
634
+ {
635
+ "epoch": 0.14,
636
+ "learning_rate": 4.59294776767579e-06,
637
+ "loss": 0.783,
638
+ "step": 1050
639
+ },
640
+ {
641
+ "epoch": 0.14,
642
+ "learning_rate": 4.590098402559097e-06,
643
+ "loss": 0.7629,
644
+ "step": 1060
645
+ },
646
+ {
647
+ "epoch": 0.14,
648
+ "learning_rate": 4.587207649608328e-06,
649
+ "loss": 0.7717,
650
+ "step": 1070
651
+ },
652
+ {
653
+ "epoch": 0.14,
654
+ "learning_rate": 4.584275562084148e-06,
655
+ "loss": 0.7135,
656
+ "step": 1080
657
+ },
658
+ {
659
+ "epoch": 0.14,
660
+ "learning_rate": 4.581302194008786e-06,
661
+ "loss": 0.7641,
662
+ "step": 1090
663
+ },
664
+ {
665
+ "epoch": 0.14,
666
+ "learning_rate": 4.578287600165046e-06,
667
+ "loss": 0.7786,
668
+ "step": 1100
669
+ },
670
+ {
671
+ "epoch": 0.14,
672
+ "learning_rate": 4.575231836095298e-06,
673
+ "loss": 0.7443,
674
+ "step": 1110
675
+ },
676
+ {
677
+ "epoch": 0.15,
678
+ "learning_rate": 4.5721349581004486e-06,
679
+ "loss": 0.7577,
680
+ "step": 1120
681
+ },
682
+ {
683
+ "epoch": 0.15,
684
+ "learning_rate": 4.56899702323891e-06,
685
+ "loss": 0.7825,
686
+ "step": 1130
687
+ },
688
+ {
689
+ "epoch": 0.15,
690
+ "learning_rate": 4.565818089325548e-06,
691
+ "loss": 0.7511,
692
+ "step": 1140
693
+ },
694
+ {
695
+ "epoch": 0.15,
696
+ "learning_rate": 4.562598214930612e-06,
697
+ "loss": 0.7615,
698
+ "step": 1150
699
+ },
700
+ {
701
+ "epoch": 0.15,
702
+ "learning_rate": 4.55933745937866e-06,
703
+ "loss": 0.7938,
704
+ "step": 1160
705
+ },
706
+ {
707
+ "epoch": 0.15,
708
+ "learning_rate": 4.556035882747467e-06,
709
+ "loss": 0.765,
710
+ "step": 1170
711
+ },
712
+ {
713
+ "epoch": 0.15,
714
+ "learning_rate": 4.552693545866911e-06,
715
+ "loss": 0.7689,
716
+ "step": 1180
717
+ },
718
+ {
719
+ "epoch": 0.15,
720
+ "learning_rate": 4.549310510317863e-06,
721
+ "loss": 0.7487,
722
+ "step": 1190
723
+ },
724
+ {
725
+ "epoch": 0.16,
726
+ "learning_rate": 4.545886838431042e-06,
727
+ "loss": 0.7747,
728
+ "step": 1200
729
+ },
730
+ {
731
+ "epoch": 0.16,
732
+ "learning_rate": 4.542422593285872e-06,
733
+ "loss": 0.7907,
734
+ "step": 1210
735
+ },
736
+ {
737
+ "epoch": 0.16,
738
+ "learning_rate": 4.538917838709319e-06,
739
+ "loss": 0.7508,
740
+ "step": 1220
741
+ },
742
+ {
743
+ "epoch": 0.16,
744
+ "learning_rate": 4.535372639274715e-06,
745
+ "loss": 0.7462,
746
+ "step": 1230
747
+ },
748
+ {
749
+ "epoch": 0.16,
750
+ "learning_rate": 4.531787060300568e-06,
751
+ "loss": 0.7563,
752
+ "step": 1240
753
+ },
754
+ {
755
+ "epoch": 0.16,
756
+ "learning_rate": 4.528161167849359e-06,
757
+ "loss": 0.7192,
758
+ "step": 1250
759
+ },
760
+ {
761
+ "epoch": 0.16,
762
+ "learning_rate": 4.524495028726325e-06,
763
+ "loss": 0.7385,
764
+ "step": 1260
765
+ },
766
+ {
767
+ "epoch": 0.16,
768
+ "learning_rate": 4.520788710478224e-06,
769
+ "loss": 0.7305,
770
+ "step": 1270
771
+ },
772
+ {
773
+ "epoch": 0.17,
774
+ "learning_rate": 4.517042281392097e-06,
775
+ "loss": 0.7589,
776
+ "step": 1280
777
+ },
778
+ {
779
+ "epoch": 0.17,
780
+ "learning_rate": 4.513255810494008e-06,
781
+ "loss": 0.7603,
782
+ "step": 1290
783
+ },
784
+ {
785
+ "epoch": 0.17,
786
+ "learning_rate": 4.509429367547769e-06,
787
+ "loss": 0.7263,
788
+ "step": 1300
789
+ },
790
+ {
791
+ "epoch": 0.17,
792
+ "learning_rate": 4.505563023053659e-06,
793
+ "loss": 0.7168,
794
+ "step": 1310
795
+ },
796
+ {
797
+ "epoch": 0.17,
798
+ "learning_rate": 4.501656848247118e-06,
799
+ "loss": 0.7261,
800
+ "step": 1320
801
+ },
802
+ {
803
+ "epoch": 0.17,
804
+ "learning_rate": 4.497710915097446e-06,
805
+ "loss": 0.7431,
806
+ "step": 1330
807
+ },
808
+ {
809
+ "epoch": 0.17,
810
+ "learning_rate": 4.493725296306466e-06,
811
+ "loss": 0.7467,
812
+ "step": 1340
813
+ },
814
+ {
815
+ "epoch": 0.18,
816
+ "learning_rate": 4.489700065307189e-06,
817
+ "loss": 0.7266,
818
+ "step": 1350
819
+ },
820
+ {
821
+ "epoch": 0.18,
822
+ "learning_rate": 4.485635296262463e-06,
823
+ "loss": 0.7231,
824
+ "step": 1360
825
+ },
826
+ {
827
+ "epoch": 0.18,
828
+ "learning_rate": 4.481531064063604e-06,
829
+ "loss": 0.7376,
830
+ "step": 1370
831
+ },
832
+ {
833
+ "epoch": 0.18,
834
+ "learning_rate": 4.477387444329015e-06,
835
+ "loss": 0.6859,
836
+ "step": 1380
837
+ },
838
+ {
839
+ "epoch": 0.18,
840
+ "learning_rate": 4.473204513402796e-06,
841
+ "loss": 0.6906,
842
+ "step": 1390
843
+ },
844
+ {
845
+ "epoch": 0.18,
846
+ "learning_rate": 4.4689823483533345e-06,
847
+ "loss": 0.7265,
848
+ "step": 1400
849
+ },
850
+ {
851
+ "epoch": 0.18,
852
+ "learning_rate": 4.464721026971889e-06,
853
+ "loss": 0.6932,
854
+ "step": 1410
855
+ },
856
+ {
857
+ "epoch": 0.18,
858
+ "learning_rate": 4.460420627771152e-06,
859
+ "loss": 0.7083,
860
+ "step": 1420
861
+ },
862
+ {
863
+ "epoch": 0.19,
864
+ "learning_rate": 4.456081229983805e-06,
865
+ "loss": 0.6923,
866
+ "step": 1430
867
+ },
868
+ {
869
+ "epoch": 0.19,
870
+ "learning_rate": 4.451702913561059e-06,
871
+ "loss": 0.6764,
872
+ "step": 1440
873
+ },
874
+ {
875
+ "epoch": 0.19,
876
+ "learning_rate": 4.447285759171183e-06,
877
+ "loss": 0.7025,
878
+ "step": 1450
879
+ },
880
+ {
881
+ "epoch": 0.19,
882
+ "learning_rate": 4.442829848198013e-06,
883
+ "loss": 0.667,
884
+ "step": 1460
885
+ },
886
+ {
887
+ "epoch": 0.19,
888
+ "learning_rate": 4.438335262739458e-06,
889
+ "loss": 0.6773,
890
+ "step": 1470
891
+ },
892
+ {
893
+ "epoch": 0.19,
894
+ "learning_rate": 4.433802085605981e-06,
895
+ "loss": 0.6699,
896
+ "step": 1480
897
+ },
898
+ {
899
+ "epoch": 0.19,
900
+ "learning_rate": 4.4292304003190824e-06,
901
+ "loss": 0.6531,
902
+ "step": 1490
903
+ },
904
+ {
905
+ "epoch": 0.19,
906
+ "learning_rate": 4.4246202911097526e-06,
907
+ "loss": 0.6819,
908
+ "step": 1500
909
+ },
910
+ {
911
+ "epoch": 0.2,
912
+ "learning_rate": 4.4199718429169235e-06,
913
+ "loss": 0.678,
914
+ "step": 1510
915
+ },
916
+ {
917
+ "epoch": 0.2,
918
+ "learning_rate": 4.415285141385904e-06,
919
+ "loss": 0.6561,
920
+ "step": 1520
921
+ },
922
+ {
923
+ "epoch": 0.2,
924
+ "learning_rate": 4.410560272866801e-06,
925
+ "loss": 0.6931,
926
+ "step": 1530
927
+ },
928
+ {
929
+ "epoch": 0.2,
930
+ "learning_rate": 4.40579732441293e-06,
931
+ "loss": 0.6609,
932
+ "step": 1540
933
+ },
934
+ {
935
+ "epoch": 0.2,
936
+ "learning_rate": 4.400996383779208e-06,
937
+ "loss": 0.6708,
938
+ "step": 1550
939
+ },
940
+ {
941
+ "epoch": 0.2,
942
+ "learning_rate": 4.39615753942054e-06,
943
+ "loss": 0.6895,
944
+ "step": 1560
945
+ },
946
+ {
947
+ "epoch": 0.2,
948
+ "learning_rate": 4.39128088049019e-06,
949
+ "loss": 0.6347,
950
+ "step": 1570
951
+ },
952
+ {
953
+ "epoch": 0.21,
954
+ "learning_rate": 4.386366496838131e-06,
955
+ "loss": 0.6387,
956
+ "step": 1580
957
+ },
958
+ {
959
+ "epoch": 0.21,
960
+ "learning_rate": 4.381414479009401e-06,
961
+ "loss": 0.6538,
962
+ "step": 1590
963
+ },
964
+ {
965
+ "epoch": 0.21,
966
+ "learning_rate": 4.376424918242424e-06,
967
+ "loss": 0.6517,
968
+ "step": 1600
969
+ },
970
+ {
971
+ "epoch": 0.21,
972
+ "learning_rate": 4.371397906467338e-06,
973
+ "loss": 0.6585,
974
+ "step": 1610
975
+ },
976
+ {
977
+ "epoch": 0.21,
978
+ "learning_rate": 4.366333536304291e-06,
979
+ "loss": 0.6795,
980
+ "step": 1620
981
+ },
982
+ {
983
+ "epoch": 0.21,
984
+ "learning_rate": 4.361231901061746e-06,
985
+ "loss": 0.6575,
986
+ "step": 1630
987
+ },
988
+ {
989
+ "epoch": 0.21,
990
+ "learning_rate": 4.356093094734755e-06,
991
+ "loss": 0.6594,
992
+ "step": 1640
993
+ },
994
+ {
995
+ "epoch": 0.21,
996
+ "learning_rate": 4.350917212003224e-06,
997
+ "loss": 0.6646,
998
+ "step": 1650
999
+ },
1000
+ {
1001
+ "epoch": 0.22,
1002
+ "learning_rate": 4.34570434823018e-06,
1003
+ "loss": 0.6527,
1004
+ "step": 1660
1005
+ },
1006
+ {
1007
+ "epoch": 0.22,
1008
+ "learning_rate": 4.340454599460004e-06,
1009
+ "loss": 0.6146,
1010
+ "step": 1670
1011
+ },
1012
+ {
1013
+ "epoch": 0.22,
1014
+ "learning_rate": 4.335168062416661e-06,
1015
+ "loss": 0.6632,
1016
+ "step": 1680
1017
+ },
1018
+ {
1019
+ "epoch": 0.22,
1020
+ "learning_rate": 4.329844834501925e-06,
1021
+ "loss": 0.6327,
1022
+ "step": 1690
1023
+ },
1024
+ {
1025
+ "epoch": 0.22,
1026
+ "learning_rate": 4.324485013793582e-06,
1027
+ "loss": 0.642,
1028
+ "step": 1700
1029
+ },
1030
+ {
1031
+ "epoch": 0.22,
1032
+ "learning_rate": 4.3190886990436184e-06,
1033
+ "loss": 0.6518,
1034
+ "step": 1710
1035
+ },
1036
+ {
1037
+ "epoch": 0.22,
1038
+ "learning_rate": 4.313655989676407e-06,
1039
+ "loss": 0.6648,
1040
+ "step": 1720
1041
+ },
1042
+ {
1043
+ "epoch": 0.22,
1044
+ "learning_rate": 4.308186985786872e-06,
1045
+ "loss": 0.6221,
1046
+ "step": 1730
1047
+ },
1048
+ {
1049
+ "epoch": 0.23,
1050
+ "learning_rate": 4.3026817881386465e-06,
1051
+ "loss": 0.6491,
1052
+ "step": 1740
1053
+ },
1054
+ {
1055
+ "epoch": 0.23,
1056
+ "learning_rate": 4.297140498162214e-06,
1057
+ "loss": 0.6684,
1058
+ "step": 1750
1059
+ },
1060
+ {
1061
+ "epoch": 0.23,
1062
+ "learning_rate": 4.291563217953044e-06,
1063
+ "loss": 0.6355,
1064
+ "step": 1760
1065
+ },
1066
+ {
1067
+ "epoch": 0.23,
1068
+ "learning_rate": 4.285950050269703e-06,
1069
+ "loss": 0.6151,
1070
+ "step": 1770
1071
+ },
1072
+ {
1073
+ "epoch": 0.23,
1074
+ "learning_rate": 4.2803010985319704e-06,
1075
+ "loss": 0.6486,
1076
+ "step": 1780
1077
+ },
1078
+ {
1079
+ "epoch": 0.23,
1080
+ "learning_rate": 4.2746164668189275e-06,
1081
+ "loss": 0.6579,
1082
+ "step": 1790
1083
+ },
1084
+ {
1085
+ "epoch": 0.23,
1086
+ "learning_rate": 4.26889625986704e-06,
1087
+ "loss": 0.6103,
1088
+ "step": 1800
1089
+ },
1090
+ {
1091
+ "epoch": 0.23,
1092
+ "learning_rate": 4.2631405830682305e-06,
1093
+ "loss": 0.6243,
1094
+ "step": 1810
1095
+ },
1096
+ {
1097
+ "epoch": 0.24,
1098
+ "learning_rate": 4.257349542467934e-06,
1099
+ "loss": 0.6446,
1100
+ "step": 1820
1101
+ },
1102
+ {
1103
+ "epoch": 0.24,
1104
+ "learning_rate": 4.2515232447631495e-06,
1105
+ "loss": 0.6307,
1106
+ "step": 1830
1107
+ },
1108
+ {
1109
+ "epoch": 0.24,
1110
+ "learning_rate": 4.2456617973004655e-06,
1111
+ "loss": 0.6022,
1112
+ "step": 1840
1113
+ },
1114
+ {
1115
+ "epoch": 0.24,
1116
+ "learning_rate": 4.23976530807409e-06,
1117
+ "loss": 0.6184,
1118
+ "step": 1850
1119
+ },
1120
+ {
1121
+ "epoch": 0.24,
1122
+ "learning_rate": 4.233833885723858e-06,
1123
+ "loss": 0.6164,
1124
+ "step": 1860
1125
+ },
1126
+ {
1127
+ "epoch": 0.24,
1128
+ "learning_rate": 4.227867639533227e-06,
1129
+ "loss": 0.5928,
1130
+ "step": 1870
1131
+ },
1132
+ {
1133
+ "epoch": 0.24,
1134
+ "learning_rate": 4.22186667942727e-06,
1135
+ "loss": 0.6362,
1136
+ "step": 1880
1137
+ },
1138
+ {
1139
+ "epoch": 0.25,
1140
+ "learning_rate": 4.215831115970642e-06,
1141
+ "loss": 0.6311,
1142
+ "step": 1890
1143
+ },
1144
+ {
1145
+ "epoch": 0.25,
1146
+ "learning_rate": 4.20976106036555e-06,
1147
+ "loss": 0.6579,
1148
+ "step": 1900
1149
+ },
1150
+ {
1151
+ "epoch": 0.25,
1152
+ "learning_rate": 4.203656624449703e-06,
1153
+ "loss": 0.6386,
1154
+ "step": 1910
1155
+ },
1156
+ {
1157
+ "epoch": 0.25,
1158
+ "learning_rate": 4.197517920694245e-06,
1159
+ "loss": 0.608,
1160
+ "step": 1920
1161
+ },
1162
+ {
1163
+ "epoch": 0.25,
1164
+ "learning_rate": 4.1913450622016915e-06,
1165
+ "loss": 0.6524,
1166
+ "step": 1930
1167
+ },
1168
+ {
1169
+ "epoch": 0.25,
1170
+ "learning_rate": 4.185138162703841e-06,
1171
+ "loss": 0.5948,
1172
+ "step": 1940
1173
+ },
1174
+ {
1175
+ "epoch": 0.25,
1176
+ "learning_rate": 4.178897336559679e-06,
1177
+ "loss": 0.5944,
1178
+ "step": 1950
1179
+ },
1180
+ {
1181
+ "epoch": 0.25,
1182
+ "learning_rate": 4.1726226987532745e-06,
1183
+ "loss": 0.6271,
1184
+ "step": 1960
1185
+ },
1186
+ {
1187
+ "epoch": 0.26,
1188
+ "learning_rate": 4.166314364891657e-06,
1189
+ "loss": 0.6096,
1190
+ "step": 1970
1191
+ },
1192
+ {
1193
+ "epoch": 0.26,
1194
+ "learning_rate": 4.15997245120269e-06,
1195
+ "loss": 0.6078,
1196
+ "step": 1980
1197
+ },
1198
+ {
1199
+ "epoch": 0.26,
1200
+ "learning_rate": 4.153597074532928e-06,
1201
+ "loss": 0.5921,
1202
+ "step": 1990
1203
+ },
1204
+ {
1205
+ "epoch": 0.26,
1206
+ "learning_rate": 4.147188352345466e-06,
1207
+ "loss": 0.6065,
1208
+ "step": 2000
1209
+ },
1210
+ {
1211
+ "epoch": 0.26,
1212
+ "learning_rate": 4.1407464027177685e-06,
1213
+ "loss": 0.5999,
1214
+ "step": 2010
1215
+ },
1216
+ {
1217
+ "epoch": 0.26,
1218
+ "learning_rate": 4.134271344339505e-06,
1219
+ "loss": 0.5988,
1220
+ "step": 2020
1221
+ },
1222
+ {
1223
+ "epoch": 0.26,
1224
+ "learning_rate": 4.127763296510351e-06,
1225
+ "loss": 0.6057,
1226
+ "step": 2030
1227
+ },
1228
+ {
1229
+ "epoch": 0.26,
1230
+ "learning_rate": 4.121222379137801e-06,
1231
+ "loss": 0.5926,
1232
+ "step": 2040
1233
+ },
1234
+ {
1235
+ "epoch": 0.27,
1236
+ "learning_rate": 4.11464871273495e-06,
1237
+ "loss": 0.6038,
1238
+ "step": 2050
1239
+ },
1240
+ {
1241
+ "epoch": 0.27,
1242
+ "learning_rate": 4.108042418418282e-06,
1243
+ "loss": 0.5989,
1244
+ "step": 2060
1245
+ },
1246
+ {
1247
+ "epoch": 0.27,
1248
+ "learning_rate": 4.1014036179054275e-06,
1249
+ "loss": 0.5942,
1250
+ "step": 2070
1251
+ },
1252
+ {
1253
+ "epoch": 0.27,
1254
+ "learning_rate": 4.094732433512933e-06,
1255
+ "loss": 0.6147,
1256
+ "step": 2080
1257
+ },
1258
+ {
1259
+ "epoch": 0.27,
1260
+ "learning_rate": 4.088028988154e-06,
1261
+ "loss": 0.5953,
1262
+ "step": 2090
1263
+ },
1264
+ {
1265
+ "epoch": 0.27,
1266
+ "learning_rate": 4.081293405336221e-06,
1267
+ "loss": 0.6255,
1268
+ "step": 2100
1269
+ },
1270
+ {
1271
+ "epoch": 0.27,
1272
+ "learning_rate": 4.0745258091593045e-06,
1273
+ "loss": 0.5941,
1274
+ "step": 2110
1275
+ },
1276
+ {
1277
+ "epoch": 0.28,
1278
+ "learning_rate": 4.067726324312792e-06,
1279
+ "loss": 0.6083,
1280
+ "step": 2120
1281
+ },
1282
+ {
1283
+ "epoch": 0.28,
1284
+ "learning_rate": 4.060895076073753e-06,
1285
+ "loss": 0.613,
1286
+ "step": 2130
1287
+ },
1288
+ {
1289
+ "epoch": 0.28,
1290
+ "learning_rate": 4.054032190304486e-06,
1291
+ "loss": 0.5829,
1292
+ "step": 2140
1293
+ },
1294
+ {
1295
+ "epoch": 0.28,
1296
+ "learning_rate": 4.047137793450191e-06,
1297
+ "loss": 0.5984,
1298
+ "step": 2150
1299
+ },
1300
+ {
1301
+ "epoch": 0.28,
1302
+ "learning_rate": 4.040212012536648e-06,
1303
+ "loss": 0.6085,
1304
+ "step": 2160
1305
+ },
1306
+ {
1307
+ "epoch": 0.28,
1308
+ "learning_rate": 4.033254975167869e-06,
1309
+ "loss": 0.6008,
1310
+ "step": 2170
1311
+ },
1312
+ {
1313
+ "epoch": 0.28,
1314
+ "learning_rate": 4.026266809523752e-06,
1315
+ "loss": 0.6173,
1316
+ "step": 2180
1317
+ },
1318
+ {
1319
+ "epoch": 0.28,
1320
+ "learning_rate": 4.0192476443577164e-06,
1321
+ "loss": 0.5689,
1322
+ "step": 2190
1323
+ },
1324
+ {
1325
+ "epoch": 0.29,
1326
+ "learning_rate": 4.012197608994335e-06,
1327
+ "loss": 0.6124,
1328
+ "step": 2200
1329
+ },
1330
+ {
1331
+ "epoch": 0.29,
1332
+ "learning_rate": 4.005116833326944e-06,
1333
+ "loss": 0.6094,
1334
+ "step": 2210
1335
+ },
1336
+ {
1337
+ "epoch": 0.29,
1338
+ "learning_rate": 3.9980054478152595e-06,
1339
+ "loss": 0.5848,
1340
+ "step": 2220
1341
+ },
1342
+ {
1343
+ "epoch": 0.29,
1344
+ "learning_rate": 3.990863583482963e-06,
1345
+ "loss": 0.5825,
1346
+ "step": 2230
1347
+ },
1348
+ {
1349
+ "epoch": 0.29,
1350
+ "learning_rate": 3.983691371915297e-06,
1351
+ "loss": 0.5828,
1352
+ "step": 2240
1353
+ },
1354
+ {
1355
+ "epoch": 0.29,
1356
+ "learning_rate": 3.976488945256635e-06,
1357
+ "loss": 0.5945,
1358
+ "step": 2250
1359
+ },
1360
+ {
1361
+ "epoch": 0.29,
1362
+ "learning_rate": 3.969256436208048e-06,
1363
+ "loss": 0.6047,
1364
+ "step": 2260
1365
+ },
1366
+ {
1367
+ "epoch": 0.29,
1368
+ "learning_rate": 3.961993978024859e-06,
1369
+ "loss": 0.5872,
1370
+ "step": 2270
1371
+ },
1372
+ {
1373
+ "epoch": 0.3,
1374
+ "learning_rate": 3.954701704514192e-06,
1375
+ "loss": 0.6147,
1376
+ "step": 2280
1377
+ },
1378
+ {
1379
+ "epoch": 0.3,
1380
+ "learning_rate": 3.9473797500325e-06,
1381
+ "loss": 0.5925,
1382
+ "step": 2290
1383
+ },
1384
+ {
1385
+ "epoch": 0.3,
1386
+ "learning_rate": 3.940028249483093e-06,
1387
+ "loss": 0.6357,
1388
+ "step": 2300
1389
+ },
1390
+ {
1391
+ "epoch": 0.3,
1392
+ "learning_rate": 3.932647338313655e-06,
1393
+ "loss": 0.6098,
1394
+ "step": 2310
1395
+ },
1396
+ {
1397
+ "epoch": 0.3,
1398
+ "learning_rate": 3.9252371525137435e-06,
1399
+ "loss": 0.6184,
1400
+ "step": 2320
1401
+ },
1402
+ {
1403
+ "epoch": 0.3,
1404
+ "learning_rate": 3.917797828612287e-06,
1405
+ "loss": 0.6001,
1406
+ "step": 2330
1407
+ },
1408
+ {
1409
+ "epoch": 0.3,
1410
+ "learning_rate": 3.910329503675069e-06,
1411
+ "loss": 0.5985,
1412
+ "step": 2340
1413
+ },
1414
+ {
1415
+ "epoch": 0.3,
1416
+ "learning_rate": 3.902832315302201e-06,
1417
+ "loss": 0.5854,
1418
+ "step": 2350
1419
+ },
1420
+ {
1421
+ "epoch": 0.31,
1422
+ "learning_rate": 3.895306401625592e-06,
1423
+ "loss": 0.5967,
1424
+ "step": 2360
1425
+ },
1426
+ {
1427
+ "epoch": 0.31,
1428
+ "learning_rate": 3.887751901306396e-06,
1429
+ "loss": 0.5824,
1430
+ "step": 2370
1431
+ },
1432
+ {
1433
+ "epoch": 0.31,
1434
+ "learning_rate": 3.8801689535324645e-06,
1435
+ "loss": 0.5695,
1436
+ "step": 2380
1437
+ },
1438
+ {
1439
+ "epoch": 0.31,
1440
+ "learning_rate": 3.872557698015779e-06,
1441
+ "loss": 0.6066,
1442
+ "step": 2390
1443
+ },
1444
+ {
1445
+ "epoch": 0.31,
1446
+ "learning_rate": 3.864918274989874e-06,
1447
+ "loss": 0.6131,
1448
+ "step": 2400
1449
+ },
1450
+ {
1451
+ "epoch": 0.31,
1452
+ "learning_rate": 3.857250825207259e-06,
1453
+ "loss": 0.6004,
1454
+ "step": 2410
1455
+ },
1456
+ {
1457
+ "epoch": 0.31,
1458
+ "learning_rate": 3.849555489936821e-06,
1459
+ "loss": 0.5908,
1460
+ "step": 2420
1461
+ },
1462
+ {
1463
+ "epoch": 0.32,
1464
+ "learning_rate": 3.841832410961225e-06,
1465
+ "loss": 0.5914,
1466
+ "step": 2430
1467
+ },
1468
+ {
1469
+ "epoch": 0.32,
1470
+ "learning_rate": 3.834081730574294e-06,
1471
+ "loss": 0.611,
1472
+ "step": 2440
1473
+ },
1474
+ {
1475
+ "epoch": 0.32,
1476
+ "learning_rate": 3.826303591578402e-06,
1477
+ "loss": 0.5972,
1478
+ "step": 2450
1479
+ },
1480
+ {
1481
+ "epoch": 0.32,
1482
+ "learning_rate": 3.818498137281826e-06,
1483
+ "loss": 0.5953,
1484
+ "step": 2460
1485
+ },
1486
+ {
1487
+ "epoch": 0.32,
1488
+ "learning_rate": 3.8106655114961175e-06,
1489
+ "loss": 0.5932,
1490
+ "step": 2470
1491
+ },
1492
+ {
1493
+ "epoch": 0.32,
1494
+ "learning_rate": 3.802805858533449e-06,
1495
+ "loss": 0.6316,
1496
+ "step": 2480
1497
+ },
1498
+ {
1499
+ "epoch": 0.32,
1500
+ "learning_rate": 3.7949193232039534e-06,
1501
+ "loss": 0.588,
1502
+ "step": 2490
1503
+ },
1504
+ {
1505
+ "epoch": 0.32,
1506
+ "learning_rate": 3.7870060508130585e-06,
1507
+ "loss": 0.5723,
1508
+ "step": 2500
1509
+ },
1510
+ {
1511
+ "epoch": 0.33,
1512
+ "learning_rate": 3.7790661871588104e-06,
1513
+ "loss": 0.6306,
1514
+ "step": 2510
1515
+ },
1516
+ {
1517
+ "epoch": 0.33,
1518
+ "learning_rate": 3.7710998785291817e-06,
1519
+ "loss": 0.6023,
1520
+ "step": 2520
1521
+ },
1522
+ {
1523
+ "epoch": 0.33,
1524
+ "learning_rate": 3.7631072716993856e-06,
1525
+ "loss": 0.5491,
1526
+ "step": 2530
1527
+ },
1528
+ {
1529
+ "epoch": 0.33,
1530
+ "learning_rate": 3.7550885139291617e-06,
1531
+ "loss": 0.5676,
1532
+ "step": 2540
1533
+ },
1534
+ {
1535
+ "epoch": 0.33,
1536
+ "learning_rate": 3.7470437529600705e-06,
1537
+ "loss": 0.5952,
1538
+ "step": 2550
1539
+ },
1540
+ {
1541
+ "epoch": 0.33,
1542
+ "learning_rate": 3.738973137012767e-06,
1543
+ "loss": 0.5796,
1544
+ "step": 2560
1545
+ },
1546
+ {
1547
+ "epoch": 0.33,
1548
+ "learning_rate": 3.7308768147842717e-06,
1549
+ "loss": 0.5717,
1550
+ "step": 2570
1551
+ },
1552
+ {
1553
+ "epoch": 0.33,
1554
+ "learning_rate": 3.7227549354452296e-06,
1555
+ "loss": 0.5991,
1556
+ "step": 2580
1557
+ },
1558
+ {
1559
+ "epoch": 0.34,
1560
+ "learning_rate": 3.7146076486371625e-06,
1561
+ "loss": 0.5906,
1562
+ "step": 2590
1563
+ },
1564
+ {
1565
+ "epoch": 0.34,
1566
+ "learning_rate": 3.706435104469714e-06,
1567
+ "loss": 0.5738,
1568
+ "step": 2600
1569
+ },
1570
+ {
1571
+ "epoch": 0.34,
1572
+ "learning_rate": 3.6982374535178783e-06,
1573
+ "loss": 0.6033,
1574
+ "step": 2610
1575
+ },
1576
+ {
1577
+ "epoch": 0.34,
1578
+ "learning_rate": 3.6900148468192326e-06,
1579
+ "loss": 0.5925,
1580
+ "step": 2620
1581
+ },
1582
+ {
1583
+ "epoch": 0.34,
1584
+ "learning_rate": 3.6817674358711494e-06,
1585
+ "loss": 0.6114,
1586
+ "step": 2630
1587
+ },
1588
+ {
1589
+ "epoch": 0.34,
1590
+ "learning_rate": 3.6734953726280074e-06,
1591
+ "loss": 0.5925,
1592
+ "step": 2640
1593
+ },
1594
+ {
1595
+ "epoch": 0.34,
1596
+ "learning_rate": 3.665198809498391e-06,
1597
+ "loss": 0.5856,
1598
+ "step": 2650
1599
+ },
1600
+ {
1601
+ "epoch": 0.35,
1602
+ "learning_rate": 3.6568778993422835e-06,
1603
+ "loss": 0.6054,
1604
+ "step": 2660
1605
+ },
1606
+ {
1607
+ "epoch": 0.35,
1608
+ "learning_rate": 3.64853279546825e-06,
1609
+ "loss": 0.586,
1610
+ "step": 2670
1611
+ },
1612
+ {
1613
+ "epoch": 0.35,
1614
+ "learning_rate": 3.6401636516306112e-06,
1615
+ "loss": 0.5659,
1616
+ "step": 2680
1617
+ },
1618
+ {
1619
+ "epoch": 0.35,
1620
+ "learning_rate": 3.6317706220266126e-06,
1621
+ "loss": 0.6194,
1622
+ "step": 2690
1623
+ },
1624
+ {
1625
+ "epoch": 0.35,
1626
+ "learning_rate": 3.6233538612935835e-06,
1627
+ "loss": 0.5847,
1628
+ "step": 2700
1629
+ },
1630
+ {
1631
+ "epoch": 0.35,
1632
+ "learning_rate": 3.6149135245060863e-06,
1633
+ "loss": 0.5928,
1634
+ "step": 2710
1635
+ },
1636
+ {
1637
+ "epoch": 0.35,
1638
+ "learning_rate": 3.606449767173061e-06,
1639
+ "loss": 0.5843,
1640
+ "step": 2720
1641
+ },
1642
+ {
1643
+ "epoch": 0.35,
1644
+ "learning_rate": 3.5979627452349597e-06,
1645
+ "loss": 0.6179,
1646
+ "step": 2730
1647
+ },
1648
+ {
1649
+ "epoch": 0.36,
1650
+ "learning_rate": 3.589452615060872e-06,
1651
+ "loss": 0.547,
1652
+ "step": 2740
1653
+ },
1654
+ {
1655
+ "epoch": 0.36,
1656
+ "learning_rate": 3.580919533445645e-06,
1657
+ "loss": 0.5938,
1658
+ "step": 2750
1659
+ },
1660
+ {
1661
+ "epoch": 0.36,
1662
+ "learning_rate": 3.5723636576069957e-06,
1663
+ "loss": 0.6023,
1664
+ "step": 2760
1665
+ },
1666
+ {
1667
+ "epoch": 0.36,
1668
+ "learning_rate": 3.5637851451826134e-06,
1669
+ "loss": 0.5723,
1670
+ "step": 2770
1671
+ },
1672
+ {
1673
+ "epoch": 0.36,
1674
+ "learning_rate": 3.5551841542272528e-06,
1675
+ "loss": 0.5807,
1676
+ "step": 2780
1677
+ },
1678
+ {
1679
+ "epoch": 0.36,
1680
+ "learning_rate": 3.5465608432098257e-06,
1681
+ "loss": 0.5969,
1682
+ "step": 2790
1683
+ },
1684
+ {
1685
+ "epoch": 0.36,
1686
+ "learning_rate": 3.5379153710104803e-06,
1687
+ "loss": 0.5992,
1688
+ "step": 2800
1689
+ },
1690
+ {
1691
+ "epoch": 0.36,
1692
+ "learning_rate": 3.5292478969176722e-06,
1693
+ "loss": 0.5764,
1694
+ "step": 2810
1695
+ },
1696
+ {
1697
+ "epoch": 0.37,
1698
+ "learning_rate": 3.5205585806252313e-06,
1699
+ "loss": 0.5862,
1700
+ "step": 2820
1701
+ },
1702
+ {
1703
+ "epoch": 0.37,
1704
+ "learning_rate": 3.5118475822294193e-06,
1705
+ "loss": 0.5777,
1706
+ "step": 2830
1707
+ },
1708
+ {
1709
+ "epoch": 0.37,
1710
+ "learning_rate": 3.5031150622259793e-06,
1711
+ "loss": 0.5716,
1712
+ "step": 2840
1713
+ },
1714
+ {
1715
+ "epoch": 0.37,
1716
+ "learning_rate": 3.4943611815071784e-06,
1717
+ "loss": 0.5729,
1718
+ "step": 2850
1719
+ },
1720
+ {
1721
+ "epoch": 0.37,
1722
+ "learning_rate": 3.4855861013588455e-06,
1723
+ "loss": 0.5908,
1724
+ "step": 2860
1725
+ },
1726
+ {
1727
+ "epoch": 0.37,
1728
+ "learning_rate": 3.4767899834573983e-06,
1729
+ "loss": 0.6212,
1730
+ "step": 2870
1731
+ },
1732
+ {
1733
+ "epoch": 0.37,
1734
+ "learning_rate": 3.4679729898668627e-06,
1735
+ "loss": 0.5972,
1736
+ "step": 2880
1737
+ },
1738
+ {
1739
+ "epoch": 0.38,
1740
+ "learning_rate": 3.4591352830358895e-06,
1741
+ "loss": 0.6005,
1742
+ "step": 2890
1743
+ },
1744
+ {
1745
+ "epoch": 0.38,
1746
+ "learning_rate": 3.450277025794762e-06,
1747
+ "loss": 0.5733,
1748
+ "step": 2900
1749
+ },
1750
+ {
1751
+ "epoch": 0.38,
1752
+ "learning_rate": 3.441398381352392e-06,
1753
+ "loss": 0.5631,
1754
+ "step": 2910
1755
+ },
1756
+ {
1757
+ "epoch": 0.38,
1758
+ "learning_rate": 3.4324995132933178e-06,
1759
+ "loss": 0.5629,
1760
+ "step": 2920
1761
+ },
1762
+ {
1763
+ "epoch": 0.38,
1764
+ "learning_rate": 3.423580585574684e-06,
1765
+ "loss": 0.5931,
1766
+ "step": 2930
1767
+ },
1768
+ {
1769
+ "epoch": 0.38,
1770
+ "learning_rate": 3.4146417625232287e-06,
1771
+ "loss": 0.5582,
1772
+ "step": 2940
1773
+ },
1774
+ {
1775
+ "epoch": 0.38,
1776
+ "learning_rate": 3.405683208832248e-06,
1777
+ "loss": 0.5946,
1778
+ "step": 2950
1779
+ },
1780
+ {
1781
+ "epoch": 0.38,
1782
+ "learning_rate": 3.3967050895585655e-06,
1783
+ "loss": 0.5386,
1784
+ "step": 2960
1785
+ },
1786
+ {
1787
+ "epoch": 0.39,
1788
+ "learning_rate": 3.387707570119493e-06,
1789
+ "loss": 0.5721,
1790
+ "step": 2970
1791
+ },
1792
+ {
1793
+ "epoch": 0.39,
1794
+ "learning_rate": 3.3786908162897785e-06,
1795
+ "loss": 0.5882,
1796
+ "step": 2980
1797
+ },
1798
+ {
1799
+ "epoch": 0.39,
1800
+ "learning_rate": 3.369654994198555e-06,
1801
+ "loss": 0.6098,
1802
+ "step": 2990
1803
+ },
1804
+ {
1805
+ "epoch": 0.39,
1806
+ "learning_rate": 3.3606002703262762e-06,
1807
+ "loss": 0.5881,
1808
+ "step": 3000
1809
+ },
1810
+ {
1811
+ "epoch": 0.39,
1812
+ "learning_rate": 3.3515268115016557e-06,
1813
+ "loss": 0.573,
1814
+ "step": 3010
1815
+ },
1816
+ {
1817
+ "epoch": 0.39,
1818
+ "learning_rate": 3.3424347848985854e-06,
1819
+ "loss": 0.5673,
1820
+ "step": 3020
1821
+ },
1822
+ {
1823
+ "epoch": 0.39,
1824
+ "learning_rate": 3.3333243580330614e-06,
1825
+ "loss": 0.6082,
1826
+ "step": 3030
1827
+ },
1828
+ {
1829
+ "epoch": 0.39,
1830
+ "learning_rate": 3.3241956987600945e-06,
1831
+ "loss": 0.5839,
1832
+ "step": 3040
1833
+ },
1834
+ {
1835
+ "epoch": 0.4,
1836
+ "learning_rate": 3.315048975270618e-06,
1837
+ "loss": 0.5966,
1838
+ "step": 3050
1839
+ },
1840
+ {
1841
+ "epoch": 0.4,
1842
+ "learning_rate": 3.30588435608839e-06,
1843
+ "loss": 0.6007,
1844
+ "step": 3060
1845
+ },
1846
+ {
1847
+ "epoch": 0.4,
1848
+ "learning_rate": 3.2967020100668872e-06,
1849
+ "loss": 0.5822,
1850
+ "step": 3070
1851
+ },
1852
+ {
1853
+ "epoch": 0.4,
1854
+ "learning_rate": 3.287502106386195e-06,
1855
+ "loss": 0.5707,
1856
+ "step": 3080
1857
+ },
1858
+ {
1859
+ "epoch": 0.4,
1860
+ "learning_rate": 3.2782848145498885e-06,
1861
+ "loss": 0.6007,
1862
+ "step": 3090
1863
+ },
1864
+ {
1865
+ "epoch": 0.4,
1866
+ "learning_rate": 3.2690503043819114e-06,
1867
+ "loss": 0.5771,
1868
+ "step": 3100
1869
+ },
1870
+ {
1871
+ "epoch": 0.4,
1872
+ "learning_rate": 3.259798746023448e-06,
1873
+ "loss": 0.5913,
1874
+ "step": 3110
1875
+ },
1876
+ {
1877
+ "epoch": 0.4,
1878
+ "learning_rate": 3.2505303099297857e-06,
1879
+ "loss": 0.5792,
1880
+ "step": 3120
1881
+ },
1882
+ {
1883
+ "epoch": 0.41,
1884
+ "learning_rate": 3.241245166867174e-06,
1885
+ "loss": 0.5891,
1886
+ "step": 3130
1887
+ },
1888
+ {
1889
+ "epoch": 0.41,
1890
+ "learning_rate": 3.231943487909682e-06,
1891
+ "loss": 0.5751,
1892
+ "step": 3140
1893
+ },
1894
+ {
1895
+ "epoch": 0.41,
1896
+ "learning_rate": 3.2226254444360448e-06,
1897
+ "loss": 0.5702,
1898
+ "step": 3150
1899
+ },
1900
+ {
1901
+ "epoch": 0.41,
1902
+ "learning_rate": 3.213291208126502e-06,
1903
+ "loss": 0.5906,
1904
+ "step": 3160
1905
+ },
1906
+ {
1907
+ "epoch": 0.41,
1908
+ "learning_rate": 3.2039409509596418e-06,
1909
+ "loss": 0.556,
1910
+ "step": 3170
1911
+ },
1912
+ {
1913
+ "epoch": 0.41,
1914
+ "learning_rate": 3.1945748452092277e-06,
1915
+ "loss": 0.5541,
1916
+ "step": 3180
1917
+ },
1918
+ {
1919
+ "epoch": 0.41,
1920
+ "learning_rate": 3.1851930634410233e-06,
1921
+ "loss": 0.5909,
1922
+ "step": 3190
1923
+ },
1924
+ {
1925
+ "epoch": 0.42,
1926
+ "learning_rate": 3.175795778509618e-06,
1927
+ "loss": 0.5861,
1928
+ "step": 3200
1929
+ },
1930
+ {
1931
+ "epoch": 0.42,
1932
+ "learning_rate": 3.166383163555236e-06,
1933
+ "loss": 0.5759,
1934
+ "step": 3210
1935
+ },
1936
+ {
1937
+ "epoch": 0.42,
1938
+ "learning_rate": 3.1569553920005527e-06,
1939
+ "loss": 0.5695,
1940
+ "step": 3220
1941
+ },
1942
+ {
1943
+ "epoch": 0.42,
1944
+ "learning_rate": 3.147512637547492e-06,
1945
+ "loss": 0.5654,
1946
+ "step": 3230
1947
+ },
1948
+ {
1949
+ "epoch": 0.42,
1950
+ "learning_rate": 3.1380550741740343e-06,
1951
+ "loss": 0.5945,
1952
+ "step": 3240
1953
+ },
1954
+ {
1955
+ "epoch": 0.42,
1956
+ "learning_rate": 3.1285828761310052e-06,
1957
+ "loss": 0.5642,
1958
+ "step": 3250
1959
+ },
1960
+ {
1961
+ "epoch": 0.42,
1962
+ "learning_rate": 3.1190962179388666e-06,
1963
+ "loss": 0.5874,
1964
+ "step": 3260
1965
+ },
1966
+ {
1967
+ "epoch": 0.42,
1968
+ "learning_rate": 3.109595274384501e-06,
1969
+ "loss": 0.5721,
1970
+ "step": 3270
1971
+ },
1972
+ {
1973
+ "epoch": 0.43,
1974
+ "learning_rate": 3.100080220517991e-06,
1975
+ "loss": 0.5978,
1976
+ "step": 3280
1977
+ },
1978
+ {
1979
+ "epoch": 0.43,
1980
+ "learning_rate": 3.0905512316493976e-06,
1981
+ "loss": 0.5633,
1982
+ "step": 3290
1983
+ },
1984
+ {
1985
+ "epoch": 0.43,
1986
+ "learning_rate": 3.0810084833455236e-06,
1987
+ "loss": 0.5646,
1988
+ "step": 3300
1989
+ },
1990
+ {
1991
+ "epoch": 0.43,
1992
+ "learning_rate": 3.0714521514266834e-06,
1993
+ "loss": 0.5824,
1994
+ "step": 3310
1995
+ },
1996
+ {
1997
+ "epoch": 0.43,
1998
+ "learning_rate": 3.061882411963465e-06,
1999
+ "loss": 0.5965,
2000
+ "step": 3320
2001
+ },
2002
+ {
2003
+ "epoch": 0.43,
2004
+ "learning_rate": 3.05229944127348e-06,
2005
+ "loss": 0.5749,
2006
+ "step": 3330
2007
+ },
2008
+ {
2009
+ "epoch": 0.43,
2010
+ "learning_rate": 3.0427034159181205e-06,
2011
+ "loss": 0.5765,
2012
+ "step": 3340
2013
+ },
2014
+ {
2015
+ "epoch": 0.43,
2016
+ "learning_rate": 3.0330945126993043e-06,
2017
+ "loss": 0.5619,
2018
+ "step": 3350
2019
+ },
2020
+ {
2021
+ "epoch": 0.44,
2022
+ "learning_rate": 3.0234729086562184e-06,
2023
+ "loss": 0.5582,
2024
+ "step": 3360
2025
+ },
2026
+ {
2027
+ "epoch": 0.44,
2028
+ "learning_rate": 3.013838781062053e-06,
2029
+ "loss": 0.5486,
2030
+ "step": 3370
2031
+ },
2032
+ {
2033
+ "epoch": 0.44,
2034
+ "learning_rate": 3.004192307420741e-06,
2035
+ "loss": 0.59,
2036
+ "step": 3380
2037
+ },
2038
+ {
2039
+ "epoch": 0.44,
2040
+ "learning_rate": 2.994533665463684e-06,
2041
+ "loss": 0.5491,
2042
+ "step": 3390
2043
+ },
2044
+ {
2045
+ "epoch": 0.44,
2046
+ "learning_rate": 2.9848630331464796e-06,
2047
+ "loss": 0.6037,
2048
+ "step": 3400
2049
+ },
2050
+ {
2051
+ "epoch": 0.44,
2052
+ "learning_rate": 2.9751805886456396e-06,
2053
+ "loss": 0.5722,
2054
+ "step": 3410
2055
+ },
2056
+ {
2057
+ "epoch": 0.44,
2058
+ "learning_rate": 2.9654865103553115e-06,
2059
+ "loss": 0.587,
2060
+ "step": 3420
2061
+ },
2062
+ {
2063
+ "epoch": 0.45,
2064
+ "learning_rate": 2.95578097688399e-06,
2065
+ "loss": 0.5757,
2066
+ "step": 3430
2067
+ },
2068
+ {
2069
+ "epoch": 0.45,
2070
+ "learning_rate": 2.9460641670512215e-06,
2071
+ "loss": 0.6111,
2072
+ "step": 3440
2073
+ },
2074
+ {
2075
+ "epoch": 0.45,
2076
+ "learning_rate": 2.936336259884318e-06,
2077
+ "loss": 0.5916,
2078
+ "step": 3450
2079
+ },
2080
+ {
2081
+ "epoch": 0.45,
2082
+ "learning_rate": 2.9265974346150538e-06,
2083
+ "loss": 0.5614,
2084
+ "step": 3460
2085
+ },
2086
+ {
2087
+ "epoch": 0.45,
2088
+ "learning_rate": 2.9168478706763613e-06,
2089
+ "loss": 0.5874,
2090
+ "step": 3470
2091
+ },
2092
+ {
2093
+ "epoch": 0.45,
2094
+ "learning_rate": 2.90708774769903e-06,
2095
+ "loss": 0.6018,
2096
+ "step": 3480
2097
+ },
2098
+ {
2099
+ "epoch": 0.45,
2100
+ "learning_rate": 2.8973172455083925e-06,
2101
+ "loss": 0.561,
2102
+ "step": 3490
2103
+ },
2104
+ {
2105
+ "epoch": 0.45,
2106
+ "learning_rate": 2.8875365441210138e-06,
2107
+ "loss": 0.5717,
2108
+ "step": 3500
2109
+ },
2110
+ {
2111
+ "epoch": 0.46,
2112
+ "learning_rate": 2.8777458237413744e-06,
2113
+ "loss": 0.5711,
2114
+ "step": 3510
2115
+ },
2116
+ {
2117
+ "epoch": 0.46,
2118
+ "learning_rate": 2.8679452647585497e-06,
2119
+ "loss": 0.5632,
2120
+ "step": 3520
2121
+ },
2122
+ {
2123
+ "epoch": 0.46,
2124
+ "learning_rate": 2.858135047742886e-06,
2125
+ "loss": 0.5911,
2126
+ "step": 3530
2127
+ },
2128
+ {
2129
+ "epoch": 0.46,
2130
+ "learning_rate": 2.848315353442673e-06,
2131
+ "loss": 0.602,
2132
+ "step": 3540
2133
+ },
2134
+ {
2135
+ "epoch": 0.46,
2136
+ "learning_rate": 2.838486362780817e-06,
2137
+ "loss": 0.5599,
2138
+ "step": 3550
2139
+ },
2140
+ {
2141
+ "epoch": 0.46,
2142
+ "learning_rate": 2.828648256851502e-06,
2143
+ "loss": 0.5685,
2144
+ "step": 3560
2145
+ },
2146
+ {
2147
+ "epoch": 0.46,
2148
+ "learning_rate": 2.818801216916859e-06,
2149
+ "loss": 0.598,
2150
+ "step": 3570
2151
+ },
2152
+ {
2153
+ "epoch": 0.46,
2154
+ "learning_rate": 2.808945424403622e-06,
2155
+ "loss": 0.5906,
2156
+ "step": 3580
2157
+ },
2158
+ {
2159
+ "epoch": 0.47,
2160
+ "learning_rate": 2.799081060899788e-06,
2161
+ "loss": 0.5477,
2162
+ "step": 3590
2163
+ },
2164
+ {
2165
+ "epoch": 0.47,
2166
+ "learning_rate": 2.789208308151268e-06,
2167
+ "loss": 0.57,
2168
+ "step": 3600
2169
+ },
2170
+ {
2171
+ "epoch": 0.47,
2172
+ "learning_rate": 2.779327348058543e-06,
2173
+ "loss": 0.5786,
2174
+ "step": 3610
2175
+ },
2176
+ {
2177
+ "epoch": 0.47,
2178
+ "learning_rate": 2.7694383626733088e-06,
2179
+ "loss": 0.5791,
2180
+ "step": 3620
2181
+ },
2182
+ {
2183
+ "epoch": 0.47,
2184
+ "learning_rate": 2.759541534195124e-06,
2185
+ "loss": 0.5783,
2186
+ "step": 3630
2187
+ },
2188
+ {
2189
+ "epoch": 0.47,
2190
+ "learning_rate": 2.7496370449680507e-06,
2191
+ "loss": 0.6006,
2192
+ "step": 3640
2193
+ },
2194
+ {
2195
+ "epoch": 0.47,
2196
+ "learning_rate": 2.7397250774772976e-06,
2197
+ "loss": 0.5791,
2198
+ "step": 3650
2199
+ },
2200
+ {
2201
+ "epoch": 0.48,
2202
+ "learning_rate": 2.7298058143458573e-06,
2203
+ "loss": 0.5588,
2204
+ "step": 3660
2205
+ },
2206
+ {
2207
+ "epoch": 0.48,
2208
+ "learning_rate": 2.7198794383311405e-06,
2209
+ "loss": 0.5801,
2210
+ "step": 3670
2211
+ },
2212
+ {
2213
+ "epoch": 0.48,
2214
+ "learning_rate": 2.7099461323216063e-06,
2215
+ "loss": 0.5396,
2216
+ "step": 3680
2217
+ },
2218
+ {
2219
+ "epoch": 0.48,
2220
+ "learning_rate": 2.7000060793334003e-06,
2221
+ "loss": 0.5913,
2222
+ "step": 3690
2223
+ },
2224
+ {
2225
+ "epoch": 0.48,
2226
+ "learning_rate": 2.6900594625069746e-06,
2227
+ "loss": 0.5806,
2228
+ "step": 3700
2229
+ },
2230
+ {
2231
+ "epoch": 0.48,
2232
+ "learning_rate": 2.6801064651037175e-06,
2233
+ "loss": 0.5557,
2234
+ "step": 3710
2235
+ },
2236
+ {
2237
+ "epoch": 0.48,
2238
+ "learning_rate": 2.670147270502576e-06,
2239
+ "loss": 0.5556,
2240
+ "step": 3720
2241
+ },
2242
+ {
2243
+ "epoch": 0.48,
2244
+ "learning_rate": 2.6601820621966784e-06,
2245
+ "loss": 0.574,
2246
+ "step": 3730
2247
+ },
2248
+ {
2249
+ "epoch": 0.49,
2250
+ "learning_rate": 2.6502110237899505e-06,
2251
+ "loss": 0.5932,
2252
+ "step": 3740
2253
+ },
2254
+ {
2255
+ "epoch": 0.49,
2256
+ "learning_rate": 2.6402343389937352e-06,
2257
+ "loss": 0.5636,
2258
+ "step": 3750
2259
+ },
2260
+ {
2261
+ "epoch": 0.49,
2262
+ "learning_rate": 2.63025219162341e-06,
2263
+ "loss": 0.5743,
2264
+ "step": 3760
2265
+ },
2266
+ {
2267
+ "epoch": 0.49,
2268
+ "learning_rate": 2.6202647655949946e-06,
2269
+ "loss": 0.5883,
2270
+ "step": 3770
2271
+ },
2272
+ {
2273
+ "epoch": 0.49,
2274
+ "learning_rate": 2.6102722449217657e-06,
2275
+ "loss": 0.5784,
2276
+ "step": 3780
2277
+ },
2278
+ {
2279
+ "epoch": 0.49,
2280
+ "learning_rate": 2.6002748137108672e-06,
2281
+ "loss": 0.5349,
2282
+ "step": 3790
2283
+ },
2284
+ {
2285
+ "epoch": 0.49,
2286
+ "learning_rate": 2.5902726561599163e-06,
2287
+ "loss": 0.5642,
2288
+ "step": 3800
2289
+ },
2290
+ {
2291
+ "epoch": 0.49,
2292
+ "learning_rate": 2.580265956553612e-06,
2293
+ "loss": 0.5918,
2294
+ "step": 3810
2295
+ },
2296
+ {
2297
+ "epoch": 0.5,
2298
+ "learning_rate": 2.5702548992603357e-06,
2299
+ "loss": 0.5612,
2300
+ "step": 3820
2301
+ },
2302
+ {
2303
+ "epoch": 0.5,
2304
+ "learning_rate": 2.5602396687287613e-06,
2305
+ "loss": 0.5738,
2306
+ "step": 3830
2307
+ },
2308
+ {
2309
+ "epoch": 0.5,
2310
+ "learning_rate": 2.5502204494844483e-06,
2311
+ "loss": 0.5782,
2312
+ "step": 3840
2313
+ },
2314
+ {
2315
+ "epoch": 0.5,
2316
+ "learning_rate": 2.5401974261264476e-06,
2317
+ "loss": 0.5748,
2318
+ "step": 3850
2319
+ },
2320
+ {
2321
+ "epoch": 0.5,
2322
+ "learning_rate": 2.530170783323899e-06,
2323
+ "loss": 0.5803,
2324
+ "step": 3860
2325
+ },
2326
+ {
2327
+ "epoch": 0.5,
2328
+ "learning_rate": 2.5201407058126307e-06,
2329
+ "loss": 0.6119,
2330
+ "step": 3870
2331
+ },
2332
+ {
2333
+ "epoch": 0.5,
2334
+ "learning_rate": 2.5101073783917504e-06,
2335
+ "loss": 0.5579,
2336
+ "step": 3880
2337
+ },
2338
+ {
2339
+ "epoch": 0.5,
2340
+ "learning_rate": 2.5000709859202455e-06,
2341
+ "loss": 0.5793,
2342
+ "step": 3890
2343
+ },
2344
+ {
2345
+ "epoch": 0.51,
2346
+ "learning_rate": 2.4900317133135754e-06,
2347
+ "loss": 0.5514,
2348
+ "step": 3900
2349
+ },
2350
+ {
2351
+ "epoch": 0.51,
2352
+ "learning_rate": 2.479989745540265e-06,
2353
+ "loss": 0.5795,
2354
+ "step": 3910
2355
+ },
2356
+ {
2357
+ "epoch": 0.51,
2358
+ "learning_rate": 2.469945267618494e-06,
2359
+ "loss": 0.5712,
2360
+ "step": 3920
2361
+ },
2362
+ {
2363
+ "epoch": 0.51,
2364
+ "learning_rate": 2.4598984646126927e-06,
2365
+ "loss": 0.5922,
2366
+ "step": 3930
2367
+ },
2368
+ {
2369
+ "epoch": 0.51,
2370
+ "learning_rate": 2.449849521630129e-06,
2371
+ "loss": 0.5623,
2372
+ "step": 3940
2373
+ },
2374
+ {
2375
+ "epoch": 0.51,
2376
+ "learning_rate": 2.4397986238175e-06,
2377
+ "loss": 0.5828,
2378
+ "step": 3950
2379
+ },
2380
+ {
2381
+ "epoch": 0.51,
2382
+ "learning_rate": 2.4297459563575166e-06,
2383
+ "loss": 0.5921,
2384
+ "step": 3960
2385
+ },
2386
+ {
2387
+ "epoch": 0.52,
2388
+ "learning_rate": 2.4196917044654974e-06,
2389
+ "loss": 0.5714,
2390
+ "step": 3970
2391
+ },
2392
+ {
2393
+ "epoch": 0.52,
2394
+ "learning_rate": 2.4096360533859527e-06,
2395
+ "loss": 0.5718,
2396
+ "step": 3980
2397
+ },
2398
+ {
2399
+ "epoch": 0.52,
2400
+ "learning_rate": 2.399579188389171e-06,
2401
+ "loss": 0.5527,
2402
+ "step": 3990
2403
+ },
2404
+ {
2405
+ "epoch": 0.52,
2406
+ "learning_rate": 2.3895212947678075e-06,
2407
+ "loss": 0.5995,
2408
+ "step": 4000
2409
+ },
2410
+ {
2411
+ "epoch": 0.52,
2412
+ "learning_rate": 2.3794625578334705e-06,
2413
+ "loss": 0.5862,
2414
+ "step": 4010
2415
+ },
2416
+ {
2417
+ "epoch": 0.52,
2418
+ "learning_rate": 2.369403162913303e-06,
2419
+ "loss": 0.5761,
2420
+ "step": 4020
2421
+ },
2422
+ {
2423
+ "epoch": 0.52,
2424
+ "learning_rate": 2.359343295346573e-06,
2425
+ "loss": 0.5829,
2426
+ "step": 4030
2427
+ },
2428
+ {
2429
+ "epoch": 0.52,
2430
+ "learning_rate": 2.3492831404812565e-06,
2431
+ "loss": 0.5687,
2432
+ "step": 4040
2433
+ },
2434
+ {
2435
+ "epoch": 0.53,
2436
+ "learning_rate": 2.3392228836706236e-06,
2437
+ "loss": 0.5658,
2438
+ "step": 4050
2439
+ },
2440
+ {
2441
+ "epoch": 0.53,
2442
+ "learning_rate": 2.3291627102698204e-06,
2443
+ "loss": 0.5741,
2444
+ "step": 4060
2445
+ },
2446
+ {
2447
+ "epoch": 0.53,
2448
+ "learning_rate": 2.3191028056324595e-06,
2449
+ "loss": 0.5737,
2450
+ "step": 4070
2451
+ },
2452
+ {
2453
+ "epoch": 0.53,
2454
+ "learning_rate": 2.309043355107198e-06,
2455
+ "loss": 0.5744,
2456
+ "step": 4080
2457
+ },
2458
+ {
2459
+ "epoch": 0.53,
2460
+ "learning_rate": 2.298984544034329e-06,
2461
+ "loss": 0.5942,
2462
+ "step": 4090
2463
+ },
2464
+ {
2465
+ "epoch": 0.53,
2466
+ "learning_rate": 2.2889265577423624e-06,
2467
+ "loss": 0.5575,
2468
+ "step": 4100
2469
+ },
2470
+ {
2471
+ "epoch": 0.53,
2472
+ "learning_rate": 2.2788695815446142e-06,
2473
+ "loss": 0.5823,
2474
+ "step": 4110
2475
+ },
2476
+ {
2477
+ "epoch": 0.53,
2478
+ "learning_rate": 2.2688138007357873e-06,
2479
+ "loss": 0.5637,
2480
+ "step": 4120
2481
+ },
2482
+ {
2483
+ "epoch": 0.54,
2484
+ "learning_rate": 2.2587594005885604e-06,
2485
+ "loss": 0.5741,
2486
+ "step": 4130
2487
+ },
2488
+ {
2489
+ "epoch": 0.54,
2490
+ "learning_rate": 2.2487065663501758e-06,
2491
+ "loss": 0.5866,
2492
+ "step": 4140
2493
+ },
2494
+ {
2495
+ "epoch": 0.54,
2496
+ "learning_rate": 2.238655483239024e-06,
2497
+ "loss": 0.6083,
2498
+ "step": 4150
2499
+ },
2500
+ {
2501
+ "epoch": 0.54,
2502
+ "learning_rate": 2.2286063364412324e-06,
2503
+ "loss": 0.5604,
2504
+ "step": 4160
2505
+ },
2506
+ {
2507
+ "epoch": 0.54,
2508
+ "learning_rate": 2.2185593111072506e-06,
2509
+ "loss": 0.5496,
2510
+ "step": 4170
2511
+ },
2512
+ {
2513
+ "epoch": 0.54,
2514
+ "learning_rate": 2.208514592348443e-06,
2515
+ "loss": 0.5869,
2516
+ "step": 4180
2517
+ },
2518
+ {
2519
+ "epoch": 0.54,
2520
+ "learning_rate": 2.1984723652336784e-06,
2521
+ "loss": 0.553,
2522
+ "step": 4190
2523
+ },
2524
+ {
2525
+ "epoch": 0.55,
2526
+ "learning_rate": 2.1884328147859143e-06,
2527
+ "loss": 0.575,
2528
+ "step": 4200
2529
+ },
2530
+ {
2531
+ "epoch": 0.55,
2532
+ "learning_rate": 2.1783961259787957e-06,
2533
+ "loss": 0.6092,
2534
+ "step": 4210
2535
+ },
2536
+ {
2537
+ "epoch": 0.55,
2538
+ "learning_rate": 2.1683624837332402e-06,
2539
+ "loss": 0.6142,
2540
+ "step": 4220
2541
+ },
2542
+ {
2543
+ "epoch": 0.55,
2544
+ "learning_rate": 2.1583320729140354e-06,
2545
+ "loss": 0.5889,
2546
+ "step": 4230
2547
+ },
2548
+ {
2549
+ "epoch": 0.55,
2550
+ "learning_rate": 2.148305078326432e-06,
2551
+ "loss": 0.5904,
2552
+ "step": 4240
2553
+ },
2554
+ {
2555
+ "epoch": 0.55,
2556
+ "learning_rate": 2.1382816847127392e-06,
2557
+ "loss": 0.5803,
2558
+ "step": 4250
2559
+ },
2560
+ {
2561
+ "epoch": 0.55,
2562
+ "learning_rate": 2.1282620767489166e-06,
2563
+ "loss": 0.5629,
2564
+ "step": 4260
2565
+ },
2566
+ {
2567
+ "epoch": 0.55,
2568
+ "learning_rate": 2.118246439041178e-06,
2569
+ "loss": 0.5552,
2570
+ "step": 4270
2571
+ },
2572
+ {
2573
+ "epoch": 0.56,
2574
+ "learning_rate": 2.1082349561225866e-06,
2575
+ "loss": 0.5773,
2576
+ "step": 4280
2577
+ },
2578
+ {
2579
+ "epoch": 0.56,
2580
+ "learning_rate": 2.0982278124496565e-06,
2581
+ "loss": 0.5803,
2582
+ "step": 4290
2583
+ },
2584
+ {
2585
+ "epoch": 0.56,
2586
+ "learning_rate": 2.088225192398952e-06,
2587
+ "loss": 0.5898,
2588
+ "step": 4300
2589
+ },
2590
+ {
2591
+ "epoch": 0.56,
2592
+ "learning_rate": 2.0782272802636917e-06,
2593
+ "loss": 0.5627,
2594
+ "step": 4310
2595
+ },
2596
+ {
2597
+ "epoch": 0.56,
2598
+ "learning_rate": 2.068234260250355e-06,
2599
+ "loss": 0.5964,
2600
+ "step": 4320
2601
+ },
2602
+ {
2603
+ "epoch": 0.56,
2604
+ "learning_rate": 2.0582463164752854e-06,
2605
+ "loss": 0.5625,
2606
+ "step": 4330
2607
+ },
2608
+ {
2609
+ "epoch": 0.56,
2610
+ "learning_rate": 2.048263632961298e-06,
2611
+ "loss": 0.5695,
2612
+ "step": 4340
2613
+ },
2614
+ {
2615
+ "epoch": 0.56,
2616
+ "learning_rate": 2.038286393634294e-06,
2617
+ "loss": 0.5741,
2618
+ "step": 4350
2619
+ },
2620
+ {
2621
+ "epoch": 0.57,
2622
+ "learning_rate": 2.028314782319864e-06,
2623
+ "loss": 0.5664,
2624
+ "step": 4360
2625
+ },
2626
+ {
2627
+ "epoch": 0.57,
2628
+ "learning_rate": 2.018348982739907e-06,
2629
+ "loss": 0.5539,
2630
+ "step": 4370
2631
+ },
2632
+ {
2633
+ "epoch": 0.57,
2634
+ "learning_rate": 2.008389178509244e-06,
2635
+ "loss": 0.5762,
2636
+ "step": 4380
2637
+ },
2638
+ {
2639
+ "epoch": 0.57,
2640
+ "learning_rate": 1.998435553132236e-06,
2641
+ "loss": 0.551,
2642
+ "step": 4390
2643
+ },
2644
+ {
2645
+ "epoch": 0.57,
2646
+ "learning_rate": 1.988488289999399e-06,
2647
+ "loss": 0.5796,
2648
+ "step": 4400
2649
+ },
2650
+ {
2651
+ "epoch": 0.57,
2652
+ "learning_rate": 1.978547572384028e-06,
2653
+ "loss": 0.5268,
2654
+ "step": 4410
2655
+ },
2656
+ {
2657
+ "epoch": 0.57,
2658
+ "learning_rate": 1.968613583438823e-06,
2659
+ "loss": 0.5741,
2660
+ "step": 4420
2661
+ },
2662
+ {
2663
+ "epoch": 0.57,
2664
+ "learning_rate": 1.9586865061925098e-06,
2665
+ "loss": 0.5521,
2666
+ "step": 4430
2667
+ },
2668
+ {
2669
+ "epoch": 0.58,
2670
+ "learning_rate": 1.9487665235464706e-06,
2671
+ "loss": 0.5662,
2672
+ "step": 4440
2673
+ },
2674
+ {
2675
+ "epoch": 0.58,
2676
+ "learning_rate": 1.9388538182713696e-06,
2677
+ "loss": 0.5716,
2678
+ "step": 4450
2679
+ },
2680
+ {
2681
+ "epoch": 0.58,
2682
+ "learning_rate": 1.9289485730037945e-06,
2683
+ "loss": 0.5942,
2684
+ "step": 4460
2685
+ },
2686
+ {
2687
+ "epoch": 0.58,
2688
+ "learning_rate": 1.919050970242882e-06,
2689
+ "loss": 0.5511,
2690
+ "step": 4470
2691
+ },
2692
+ {
2693
+ "epoch": 0.58,
2694
+ "learning_rate": 1.9091611923469618e-06,
2695
+ "loss": 0.5591,
2696
+ "step": 4480
2697
+ },
2698
+ {
2699
+ "epoch": 0.58,
2700
+ "learning_rate": 1.899279421530194e-06,
2701
+ "loss": 0.5656,
2702
+ "step": 4490
2703
+ },
2704
+ {
2705
+ "epoch": 0.58,
2706
+ "learning_rate": 1.889405839859211e-06,
2707
+ "loss": 0.5657,
2708
+ "step": 4500
2709
+ },
2710
+ {
2711
+ "epoch": 0.59,
2712
+ "learning_rate": 1.8795406292497649e-06,
2713
+ "loss": 0.5951,
2714
+ "step": 4510
2715
+ },
2716
+ {
2717
+ "epoch": 0.59,
2718
+ "learning_rate": 1.8696839714633764e-06,
2719
+ "loss": 0.5599,
2720
+ "step": 4520
2721
+ },
2722
+ {
2723
+ "epoch": 0.59,
2724
+ "learning_rate": 1.8598360481039848e-06,
2725
+ "loss": 0.5968,
2726
+ "step": 4530
2727
+ },
2728
+ {
2729
+ "epoch": 0.59,
2730
+ "learning_rate": 1.8499970406145992e-06,
2731
+ "loss": 0.5677,
2732
+ "step": 4540
2733
+ },
2734
+ {
2735
+ "epoch": 0.59,
2736
+ "learning_rate": 1.8401671302739611e-06,
2737
+ "loss": 0.5941,
2738
+ "step": 4550
2739
+ },
2740
+ {
2741
+ "epoch": 0.59,
2742
+ "learning_rate": 1.8303464981932012e-06,
2743
+ "loss": 0.5848,
2744
+ "step": 4560
2745
+ },
2746
+ {
2747
+ "epoch": 0.59,
2748
+ "learning_rate": 1.8205353253125017e-06,
2749
+ "loss": 0.5847,
2750
+ "step": 4570
2751
+ },
2752
+ {
2753
+ "epoch": 0.59,
2754
+ "learning_rate": 1.8107337923977659e-06,
2755
+ "loss": 0.5591,
2756
+ "step": 4580
2757
+ },
2758
+ {
2759
+ "epoch": 0.6,
2760
+ "learning_rate": 1.8009420800372823e-06,
2761
+ "loss": 0.5683,
2762
+ "step": 4590
2763
+ },
2764
+ {
2765
+ "epoch": 0.6,
2766
+ "learning_rate": 1.7911603686384046e-06,
2767
+ "loss": 0.5494,
2768
+ "step": 4600
2769
+ },
2770
+ {
2771
+ "epoch": 0.6,
2772
+ "learning_rate": 1.7813888384242203e-06,
2773
+ "loss": 0.5804,
2774
+ "step": 4610
2775
+ },
2776
+ {
2777
+ "epoch": 0.6,
2778
+ "learning_rate": 1.7716276694302366e-06,
2779
+ "loss": 0.5901,
2780
+ "step": 4620
2781
+ },
2782
+ {
2783
+ "epoch": 0.6,
2784
+ "learning_rate": 1.7618770415010592e-06,
2785
+ "loss": 0.5661,
2786
+ "step": 4630
2787
+ },
2788
+ {
2789
+ "epoch": 0.6,
2790
+ "learning_rate": 1.7521371342870795e-06,
2791
+ "loss": 0.5529,
2792
+ "step": 4640
2793
+ },
2794
+ {
2795
+ "epoch": 0.6,
2796
+ "learning_rate": 1.7424081272411653e-06,
2797
+ "loss": 0.5664,
2798
+ "step": 4650
2799
+ },
2800
+ {
2801
+ "epoch": 0.6,
2802
+ "learning_rate": 1.732690199615355e-06,
2803
+ "loss": 0.5516,
2804
+ "step": 4660
2805
+ },
2806
+ {
2807
+ "epoch": 0.61,
2808
+ "learning_rate": 1.7229835304575547e-06,
2809
+ "loss": 0.546,
2810
+ "step": 4670
2811
+ },
2812
+ {
2813
+ "epoch": 0.61,
2814
+ "learning_rate": 1.7132882986082373e-06,
2815
+ "loss": 0.584,
2816
+ "step": 4680
2817
+ },
2818
+ {
2819
+ "epoch": 0.61,
2820
+ "learning_rate": 1.7036046826971493e-06,
2821
+ "loss": 0.5432,
2822
+ "step": 4690
2823
+ },
2824
+ {
2825
+ "epoch": 0.61,
2826
+ "learning_rate": 1.6939328611400214e-06,
2827
+ "loss": 0.5955,
2828
+ "step": 4700
2829
+ },
2830
+ {
2831
+ "epoch": 0.61,
2832
+ "learning_rate": 1.684273012135277e-06,
2833
+ "loss": 0.5605,
2834
+ "step": 4710
2835
+ },
2836
+ {
2837
+ "epoch": 0.61,
2838
+ "learning_rate": 1.674625313660753e-06,
2839
+ "loss": 0.5979,
2840
+ "step": 4720
2841
+ },
2842
+ {
2843
+ "epoch": 0.61,
2844
+ "learning_rate": 1.664989943470417e-06,
2845
+ "loss": 0.6037,
2846
+ "step": 4730
2847
+ },
2848
+ {
2849
+ "epoch": 0.62,
2850
+ "learning_rate": 1.6553670790910962e-06,
2851
+ "loss": 0.5521,
2852
+ "step": 4740
2853
+ },
2854
+ {
2855
+ "epoch": 0.62,
2856
+ "learning_rate": 1.645756897819203e-06,
2857
+ "loss": 0.5812,
2858
+ "step": 4750
2859
+ },
2860
+ {
2861
+ "epoch": 0.62,
2862
+ "learning_rate": 1.6361595767174719e-06,
2863
+ "loss": 0.5815,
2864
+ "step": 4760
2865
+ },
2866
+ {
2867
+ "epoch": 0.62,
2868
+ "learning_rate": 1.6265752926116924e-06,
2869
+ "loss": 0.576,
2870
+ "step": 4770
2871
+ },
2872
+ {
2873
+ "epoch": 0.62,
2874
+ "learning_rate": 1.6170042220874564e-06,
2875
+ "loss": 0.561,
2876
+ "step": 4780
2877
+ },
2878
+ {
2879
+ "epoch": 0.62,
2880
+ "learning_rate": 1.6074465414869008e-06,
2881
+ "loss": 0.5405,
2882
+ "step": 4790
2883
+ },
2884
+ {
2885
+ "epoch": 0.62,
2886
+ "learning_rate": 1.597902426905461e-06,
2887
+ "loss": 0.5599,
2888
+ "step": 4800
2889
+ },
2890
+ {
2891
+ "epoch": 0.62,
2892
+ "learning_rate": 1.5883720541886253e-06,
2893
+ "loss": 0.5405,
2894
+ "step": 4810
2895
+ },
2896
+ {
2897
+ "epoch": 0.63,
2898
+ "learning_rate": 1.5788555989286928e-06,
2899
+ "loss": 0.5558,
2900
+ "step": 4820
2901
+ },
2902
+ {
2903
+ "epoch": 0.63,
2904
+ "learning_rate": 1.5693532364615437e-06,
2905
+ "loss": 0.5668,
2906
+ "step": 4830
2907
+ },
2908
+ {
2909
+ "epoch": 0.63,
2910
+ "learning_rate": 1.5598651418634044e-06,
2911
+ "loss": 0.5857,
2912
+ "step": 4840
2913
+ },
2914
+ {
2915
+ "epoch": 0.63,
2916
+ "learning_rate": 1.5503914899476223e-06,
2917
+ "loss": 0.5731,
2918
+ "step": 4850
2919
+ },
2920
+ {
2921
+ "epoch": 0.63,
2922
+ "learning_rate": 1.540932455261447e-06,
2923
+ "loss": 0.5599,
2924
+ "step": 4860
2925
+ },
2926
+ {
2927
+ "epoch": 0.63,
2928
+ "learning_rate": 1.5314882120828105e-06,
2929
+ "loss": 0.5644,
2930
+ "step": 4870
2931
+ },
2932
+ {
2933
+ "epoch": 0.63,
2934
+ "learning_rate": 1.5220589344171221e-06,
2935
+ "loss": 0.5939,
2936
+ "step": 4880
2937
+ },
2938
+ {
2939
+ "epoch": 0.63,
2940
+ "learning_rate": 1.5126447959940568e-06,
2941
+ "loss": 0.5872,
2942
+ "step": 4890
2943
+ },
2944
+ {
2945
+ "epoch": 0.64,
2946
+ "learning_rate": 1.5032459702643585e-06,
2947
+ "loss": 0.5833,
2948
+ "step": 4900
2949
+ },
2950
+ {
2951
+ "epoch": 0.64,
2952
+ "learning_rate": 1.4938626303966397e-06,
2953
+ "loss": 0.5505,
2954
+ "step": 4910
2955
+ },
2956
+ {
2957
+ "epoch": 0.64,
2958
+ "learning_rate": 1.4844949492741964e-06,
2959
+ "loss": 0.5886,
2960
+ "step": 4920
2961
+ },
2962
+ {
2963
+ "epoch": 0.64,
2964
+ "learning_rate": 1.4751430994918185e-06,
2965
+ "loss": 0.5804,
2966
+ "step": 4930
2967
+ },
2968
+ {
2969
+ "epoch": 0.64,
2970
+ "learning_rate": 1.4658072533526132e-06,
2971
+ "loss": 0.5597,
2972
+ "step": 4940
2973
+ },
2974
+ {
2975
+ "epoch": 0.64,
2976
+ "learning_rate": 1.4564875828648266e-06,
2977
+ "loss": 0.5704,
2978
+ "step": 4950
2979
+ },
2980
+ {
2981
+ "epoch": 0.64,
2982
+ "learning_rate": 1.4471842597386774e-06,
2983
+ "loss": 0.5827,
2984
+ "step": 4960
2985
+ },
2986
+ {
2987
+ "epoch": 0.65,
2988
+ "learning_rate": 1.4378974553831926e-06,
2989
+ "loss": 0.5458,
2990
+ "step": 4970
2991
+ },
2992
+ {
2993
+ "epoch": 0.65,
2994
+ "learning_rate": 1.42862734090305e-06,
2995
+ "loss": 0.5631,
2996
+ "step": 4980
2997
+ },
2998
+ {
2999
+ "epoch": 0.65,
3000
+ "learning_rate": 1.4193740870954227e-06,
3001
+ "loss": 0.5672,
3002
+ "step": 4990
3003
+ },
3004
+ {
3005
+ "epoch": 0.65,
3006
+ "learning_rate": 1.410137864446838e-06,
3007
+ "loss": 0.5692,
3008
+ "step": 5000
3009
+ },
3010
+ {
3011
+ "epoch": 0.65,
3012
+ "learning_rate": 1.4009188431300279e-06,
3013
+ "loss": 0.5682,
3014
+ "step": 5010
3015
+ },
3016
+ {
3017
+ "epoch": 0.65,
3018
+ "learning_rate": 1.3917171930008023e-06,
3019
+ "loss": 0.5557,
3020
+ "step": 5020
3021
+ },
3022
+ {
3023
+ "epoch": 0.65,
3024
+ "learning_rate": 1.3825330835949142e-06,
3025
+ "loss": 0.5679,
3026
+ "step": 5030
3027
+ },
3028
+ {
3029
+ "epoch": 0.65,
3030
+ "learning_rate": 1.3733666841249394e-06,
3031
+ "loss": 0.5671,
3032
+ "step": 5040
3033
+ },
3034
+ {
3035
+ "epoch": 0.66,
3036
+ "learning_rate": 1.3642181634771537e-06,
3037
+ "loss": 0.5714,
3038
+ "step": 5050
3039
+ },
3040
+ {
3041
+ "epoch": 0.66,
3042
+ "learning_rate": 1.3550876902084279e-06,
3043
+ "loss": 0.5556,
3044
+ "step": 5060
3045
+ },
3046
+ {
3047
+ "epoch": 0.66,
3048
+ "learning_rate": 1.3459754325431172e-06,
3049
+ "loss": 0.565,
3050
+ "step": 5070
3051
+ },
3052
+ {
3053
+ "epoch": 0.66,
3054
+ "learning_rate": 1.3368815583699631e-06,
3055
+ "loss": 0.553,
3056
+ "step": 5080
3057
+ },
3058
+ {
3059
+ "epoch": 0.66,
3060
+ "learning_rate": 1.3278062352390044e-06,
3061
+ "loss": 0.5736,
3062
+ "step": 5090
3063
+ },
3064
+ {
3065
+ "epoch": 0.66,
3066
+ "learning_rate": 1.3187496303584809e-06,
3067
+ "loss": 0.5827,
3068
+ "step": 5100
3069
+ },
3070
+ {
3071
+ "epoch": 0.66,
3072
+ "learning_rate": 1.3097119105917598e-06,
3073
+ "loss": 0.5623,
3074
+ "step": 5110
3075
+ },
3076
+ {
3077
+ "epoch": 0.66,
3078
+ "learning_rate": 1.3006932424542622e-06,
3079
+ "loss": 0.5768,
3080
+ "step": 5120
3081
+ },
3082
+ {
3083
+ "epoch": 0.67,
3084
+ "learning_rate": 1.2916937921103908e-06,
3085
+ "loss": 0.5592,
3086
+ "step": 5130
3087
+ },
3088
+ {
3089
+ "epoch": 0.67,
3090
+ "learning_rate": 1.2827137253704695e-06,
3091
+ "loss": 0.5888,
3092
+ "step": 5140
3093
+ },
3094
+ {
3095
+ "epoch": 0.67,
3096
+ "learning_rate": 1.2737532076876895e-06,
3097
+ "loss": 0.5592,
3098
+ "step": 5150
3099
+ },
3100
+ {
3101
+ "epoch": 0.67,
3102
+ "learning_rate": 1.26481240415506e-06,
3103
+ "loss": 0.5783,
3104
+ "step": 5160
3105
+ },
3106
+ {
3107
+ "epoch": 0.67,
3108
+ "learning_rate": 1.2558914795023695e-06,
3109
+ "loss": 0.5788,
3110
+ "step": 5170
3111
+ },
3112
+ {
3113
+ "epoch": 0.67,
3114
+ "learning_rate": 1.2469905980931466e-06,
3115
+ "loss": 0.5964,
3116
+ "step": 5180
3117
+ },
3118
+ {
3119
+ "epoch": 0.67,
3120
+ "learning_rate": 1.2381099239216298e-06,
3121
+ "loss": 0.5605,
3122
+ "step": 5190
3123
+ },
3124
+ {
3125
+ "epoch": 0.67,
3126
+ "learning_rate": 1.2292496206097555e-06,
3127
+ "loss": 0.5575,
3128
+ "step": 5200
3129
+ },
3130
+ {
3131
+ "epoch": 0.68,
3132
+ "learning_rate": 1.2204098514041339e-06,
3133
+ "loss": 0.5855,
3134
+ "step": 5210
3135
+ },
3136
+ {
3137
+ "epoch": 0.68,
3138
+ "learning_rate": 1.211590779173044e-06,
3139
+ "loss": 0.589,
3140
+ "step": 5220
3141
+ },
3142
+ {
3143
+ "epoch": 0.68,
3144
+ "learning_rate": 1.2027925664034376e-06,
3145
+ "loss": 0.5703,
3146
+ "step": 5230
3147
+ },
3148
+ {
3149
+ "epoch": 0.68,
3150
+ "learning_rate": 1.1940153751979358e-06,
3151
+ "loss": 0.598,
3152
+ "step": 5240
3153
+ },
3154
+ {
3155
+ "epoch": 0.68,
3156
+ "learning_rate": 1.1852593672718508e-06,
3157
+ "loss": 0.5744,
3158
+ "step": 5250
3159
+ },
3160
+ {
3161
+ "epoch": 0.68,
3162
+ "learning_rate": 1.1765247039502054e-06,
3163
+ "loss": 0.5595,
3164
+ "step": 5260
3165
+ },
3166
+ {
3167
+ "epoch": 0.68,
3168
+ "learning_rate": 1.1678115461647562e-06,
3169
+ "loss": 0.5845,
3170
+ "step": 5270
3171
+ },
3172
+ {
3173
+ "epoch": 0.69,
3174
+ "learning_rate": 1.159120054451032e-06,
3175
+ "loss": 0.5748,
3176
+ "step": 5280
3177
+ },
3178
+ {
3179
+ "epoch": 0.69,
3180
+ "learning_rate": 1.1504503889453754e-06,
3181
+ "loss": 0.5799,
3182
+ "step": 5290
3183
+ },
3184
+ {
3185
+ "epoch": 0.69,
3186
+ "learning_rate": 1.1418027093819907e-06,
3187
+ "loss": 0.5909,
3188
+ "step": 5300
3189
+ },
3190
+ {
3191
+ "epoch": 0.69,
3192
+ "learning_rate": 1.1331771750900054e-06,
3193
+ "loss": 0.5644,
3194
+ "step": 5310
3195
+ },
3196
+ {
3197
+ "epoch": 0.69,
3198
+ "learning_rate": 1.12457394499053e-06,
3199
+ "loss": 0.5593,
3200
+ "step": 5320
3201
+ },
3202
+ {
3203
+ "epoch": 0.69,
3204
+ "learning_rate": 1.1159931775937283e-06,
3205
+ "loss": 0.5559,
3206
+ "step": 5330
3207
+ },
3208
+ {
3209
+ "epoch": 0.69,
3210
+ "learning_rate": 1.1074350309959058e-06,
3211
+ "loss": 0.5893,
3212
+ "step": 5340
3213
+ },
3214
+ {
3215
+ "epoch": 0.69,
3216
+ "learning_rate": 1.0988996628765874e-06,
3217
+ "loss": 0.583,
3218
+ "step": 5350
3219
+ },
3220
+ {
3221
+ "epoch": 0.7,
3222
+ "learning_rate": 1.0903872304956168e-06,
3223
+ "loss": 0.5815,
3224
+ "step": 5360
3225
+ },
3226
+ {
3227
+ "epoch": 0.7,
3228
+ "learning_rate": 1.0818978906902608e-06,
3229
+ "loss": 0.5769,
3230
+ "step": 5370
3231
+ },
3232
+ {
3233
+ "epoch": 0.7,
3234
+ "learning_rate": 1.073431799872313e-06,
3235
+ "loss": 0.5678,
3236
+ "step": 5380
3237
+ },
3238
+ {
3239
+ "epoch": 0.7,
3240
+ "learning_rate": 1.0649891140252177e-06,
3241
+ "loss": 0.602,
3242
+ "step": 5390
3243
+ },
3244
+ {
3245
+ "epoch": 0.7,
3246
+ "learning_rate": 1.0565699887011967e-06,
3247
+ "loss": 0.6014,
3248
+ "step": 5400
3249
+ },
3250
+ {
3251
+ "epoch": 0.7,
3252
+ "learning_rate": 1.0481745790183785e-06,
3253
+ "loss": 0.5416,
3254
+ "step": 5410
3255
+ },
3256
+ {
3257
+ "epoch": 0.7,
3258
+ "learning_rate": 1.039803039657944e-06,
3259
+ "loss": 0.5702,
3260
+ "step": 5420
3261
+ },
3262
+ {
3263
+ "epoch": 0.7,
3264
+ "learning_rate": 1.0314555248612746e-06,
3265
+ "loss": 0.5689,
3266
+ "step": 5430
3267
+ },
3268
+ {
3269
+ "epoch": 0.71,
3270
+ "learning_rate": 1.0231321884271116e-06,
3271
+ "loss": 0.5393,
3272
+ "step": 5440
3273
+ },
3274
+ {
3275
+ "epoch": 0.71,
3276
+ "learning_rate": 1.0148331837087237e-06,
3277
+ "loss": 0.5694,
3278
+ "step": 5450
3279
+ },
3280
+ {
3281
+ "epoch": 0.71,
3282
+ "learning_rate": 1.0065586636110787e-06,
3283
+ "loss": 0.534,
3284
+ "step": 5460
3285
+ },
3286
+ {
3287
+ "epoch": 0.71,
3288
+ "learning_rate": 9.983087805880254e-07,
3289
+ "loss": 0.5588,
3290
+ "step": 5470
3291
+ },
3292
+ {
3293
+ "epoch": 0.71,
3294
+ "learning_rate": 9.900836866394918e-07,
3295
+ "loss": 0.5538,
3296
+ "step": 5480
3297
+ },
3298
+ {
3299
+ "epoch": 0.71,
3300
+ "learning_rate": 9.818835333086761e-07,
3301
+ "loss": 0.5974,
3302
+ "step": 5490
3303
+ },
3304
+ {
3305
+ "epoch": 0.71,
3306
+ "learning_rate": 9.737084716792582e-07,
3307
+ "loss": 0.5802,
3308
+ "step": 5500
3309
+ },
3310
+ {
3311
+ "epoch": 0.72,
3312
+ "learning_rate": 9.655586523726204e-07,
3313
+ "loss": 0.5757,
3314
+ "step": 5510
3315
+ },
3316
+ {
3317
+ "epoch": 0.72,
3318
+ "learning_rate": 9.574342255450618e-07,
3319
+ "loss": 0.5545,
3320
+ "step": 5520
3321
+ },
3322
+ {
3323
+ "epoch": 0.72,
3324
+ "learning_rate": 9.493353408850409e-07,
3325
+ "loss": 0.5949,
3326
+ "step": 5530
3327
+ },
3328
+ {
3329
+ "epoch": 0.72,
3330
+ "learning_rate": 9.412621476104161e-07,
3331
+ "loss": 0.5759,
3332
+ "step": 5540
3333
+ },
3334
+ {
3335
+ "epoch": 0.72,
3336
+ "learning_rate": 9.332147944656929e-07,
3337
+ "loss": 0.565,
3338
+ "step": 5550
3339
+ },
3340
+ {
3341
+ "epoch": 0.72,
3342
+ "learning_rate": 9.251934297192861e-07,
3343
+ "loss": 0.5509,
3344
+ "step": 5560
3345
+ },
3346
+ {
3347
+ "epoch": 0.72,
3348
+ "learning_rate": 9.171982011607873e-07,
3349
+ "loss": 0.5278,
3350
+ "step": 5570
3351
+ },
3352
+ {
3353
+ "epoch": 0.72,
3354
+ "learning_rate": 9.092292560982419e-07,
3355
+ "loss": 0.5672,
3356
+ "step": 5580
3357
+ },
3358
+ {
3359
+ "epoch": 0.73,
3360
+ "learning_rate": 9.01286741355435e-07,
3361
+ "loss": 0.5837,
3362
+ "step": 5590
3363
+ },
3364
+ {
3365
+ "epoch": 0.73,
3366
+ "learning_rate": 8.933708032691889e-07,
3367
+ "loss": 0.5698,
3368
+ "step": 5600
3369
+ },
3370
+ {
3371
+ "epoch": 0.73,
3372
+ "learning_rate": 8.854815876866593e-07,
3373
+ "loss": 0.5638,
3374
+ "step": 5610
3375
+ },
3376
+ {
3377
+ "epoch": 0.73,
3378
+ "learning_rate": 8.776192399626588e-07,
3379
+ "loss": 0.555,
3380
+ "step": 5620
3381
+ },
3382
+ {
3383
+ "epoch": 0.73,
3384
+ "learning_rate": 8.697839049569696e-07,
3385
+ "loss": 0.5713,
3386
+ "step": 5630
3387
+ },
3388
+ {
3389
+ "epoch": 0.73,
3390
+ "learning_rate": 8.61975727031679e-07,
3391
+ "loss": 0.5568,
3392
+ "step": 5640
3393
+ },
3394
+ {
3395
+ "epoch": 0.73,
3396
+ "learning_rate": 8.541948500485217e-07,
3397
+ "loss": 0.592,
3398
+ "step": 5650
3399
+ },
3400
+ {
3401
+ "epoch": 0.73,
3402
+ "learning_rate": 8.464414173662211e-07,
3403
+ "loss": 0.5924,
3404
+ "step": 5660
3405
+ },
3406
+ {
3407
+ "epoch": 0.74,
3408
+ "learning_rate": 8.387155718378564e-07,
3409
+ "loss": 0.5891,
3410
+ "step": 5670
3411
+ },
3412
+ {
3413
+ "epoch": 0.74,
3414
+ "learning_rate": 8.310174558082282e-07,
3415
+ "loss": 0.5575,
3416
+ "step": 5680
3417
+ },
3418
+ {
3419
+ "epoch": 0.74,
3420
+ "learning_rate": 8.233472111112335e-07,
3421
+ "loss": 0.5733,
3422
+ "step": 5690
3423
+ },
3424
+ {
3425
+ "epoch": 0.74,
3426
+ "learning_rate": 8.157049790672542e-07,
3427
+ "loss": 0.5687,
3428
+ "step": 5700
3429
+ },
3430
+ {
3431
+ "epoch": 0.74,
3432
+ "learning_rate": 8.08090900480554e-07,
3433
+ "loss": 0.5738,
3434
+ "step": 5710
3435
+ },
3436
+ {
3437
+ "epoch": 0.74,
3438
+ "learning_rate": 8.005051156366824e-07,
3439
+ "loss": 0.5767,
3440
+ "step": 5720
3441
+ },
3442
+ {
3443
+ "epoch": 0.74,
3444
+ "learning_rate": 7.929477642998909e-07,
3445
+ "loss": 0.5511,
3446
+ "step": 5730
3447
+ },
3448
+ {
3449
+ "epoch": 0.74,
3450
+ "learning_rate": 7.854189857105611e-07,
3451
+ "loss": 0.5306,
3452
+ "step": 5740
3453
+ },
3454
+ {
3455
+ "epoch": 0.75,
3456
+ "learning_rate": 7.779189185826306e-07,
3457
+ "loss": 0.5812,
3458
+ "step": 5750
3459
+ },
3460
+ {
3461
+ "epoch": 0.75,
3462
+ "learning_rate": 7.704477011010477e-07,
3463
+ "loss": 0.5593,
3464
+ "step": 5760
3465
+ },
3466
+ {
3467
+ "epoch": 0.75,
3468
+ "learning_rate": 7.630054709192186e-07,
3469
+ "loss": 0.563,
3470
+ "step": 5770
3471
+ },
3472
+ {
3473
+ "epoch": 0.75,
3474
+ "learning_rate": 7.555923651564721e-07,
3475
+ "loss": 0.5411,
3476
+ "step": 5780
3477
+ },
3478
+ {
3479
+ "epoch": 0.75,
3480
+ "learning_rate": 7.482085203955382e-07,
3481
+ "loss": 0.6212,
3482
+ "step": 5790
3483
+ },
3484
+ {
3485
+ "epoch": 0.75,
3486
+ "learning_rate": 7.408540726800224e-07,
3487
+ "loss": 0.6006,
3488
+ "step": 5800
3489
+ },
3490
+ {
3491
+ "epoch": 0.75,
3492
+ "learning_rate": 7.335291575119075e-07,
3493
+ "loss": 0.5715,
3494
+ "step": 5810
3495
+ },
3496
+ {
3497
+ "epoch": 0.76,
3498
+ "learning_rate": 7.262339098490546e-07,
3499
+ "loss": 0.5517,
3500
+ "step": 5820
3501
+ },
3502
+ {
3503
+ "epoch": 0.76,
3504
+ "learning_rate": 7.189684641027155e-07,
3505
+ "loss": 0.5787,
3506
+ "step": 5830
3507
+ },
3508
+ {
3509
+ "epoch": 0.76,
3510
+ "learning_rate": 7.11732954135054e-07,
3511
+ "loss": 0.58,
3512
+ "step": 5840
3513
+ },
3514
+ {
3515
+ "epoch": 0.76,
3516
+ "learning_rate": 7.045275132566867e-07,
3517
+ "loss": 0.5606,
3518
+ "step": 5850
3519
+ },
3520
+ {
3521
+ "epoch": 0.76,
3522
+ "learning_rate": 6.973522742242199e-07,
3523
+ "loss": 0.5606,
3524
+ "step": 5860
3525
+ },
3526
+ {
3527
+ "epoch": 0.76,
3528
+ "learning_rate": 6.902073692378057e-07,
3529
+ "loss": 0.5469,
3530
+ "step": 5870
3531
+ },
3532
+ {
3533
+ "epoch": 0.76,
3534
+ "learning_rate": 6.830929299387097e-07,
3535
+ "loss": 0.5561,
3536
+ "step": 5880
3537
+ },
3538
+ {
3539
+ "epoch": 0.76,
3540
+ "learning_rate": 6.760090874068779e-07,
3541
+ "loss": 0.5826,
3542
+ "step": 5890
3543
+ },
3544
+ {
3545
+ "epoch": 0.77,
3546
+ "learning_rate": 6.68955972158531e-07,
3547
+ "loss": 0.5532,
3548
+ "step": 5900
3549
+ },
3550
+ {
3551
+ "epoch": 0.77,
3552
+ "learning_rate": 6.619337141437523e-07,
3553
+ "loss": 0.5563,
3554
+ "step": 5910
3555
+ },
3556
+ {
3557
+ "epoch": 0.77,
3558
+ "learning_rate": 6.549424427440968e-07,
3559
+ "loss": 0.5595,
3560
+ "step": 5920
3561
+ },
3562
+ {
3563
+ "epoch": 0.77,
3564
+ "learning_rate": 6.479822867702067e-07,
3565
+ "loss": 0.5698,
3566
+ "step": 5930
3567
+ },
3568
+ {
3569
+ "epoch": 0.77,
3570
+ "learning_rate": 6.41053374459439e-07,
3571
+ "loss": 0.5702,
3572
+ "step": 5940
3573
+ },
3574
+ {
3575
+ "epoch": 0.77,
3576
+ "learning_rate": 6.341558334735e-07,
3577
+ "loss": 0.5635,
3578
+ "step": 5950
3579
+ },
3580
+ {
3581
+ "epoch": 0.77,
3582
+ "learning_rate": 6.272897908960978e-07,
3583
+ "loss": 0.5857,
3584
+ "step": 5960
3585
+ },
3586
+ {
3587
+ "epoch": 0.77,
3588
+ "learning_rate": 6.204553732305978e-07,
3589
+ "loss": 0.5711,
3590
+ "step": 5970
3591
+ },
3592
+ {
3593
+ "epoch": 0.78,
3594
+ "learning_rate": 6.136527063976885e-07,
3595
+ "loss": 0.5559,
3596
+ "step": 5980
3597
+ },
3598
+ {
3599
+ "epoch": 0.78,
3600
+ "learning_rate": 6.068819157330717e-07,
3601
+ "loss": 0.6099,
3602
+ "step": 5990
3603
+ },
3604
+ {
3605
+ "epoch": 0.78,
3606
+ "learning_rate": 6.001431259851415e-07,
3607
+ "loss": 0.5783,
3608
+ "step": 6000
3609
+ },
3610
+ {
3611
+ "epoch": 0.78,
3612
+ "learning_rate": 5.934364613126937e-07,
3613
+ "loss": 0.5771,
3614
+ "step": 6010
3615
+ },
3616
+ {
3617
+ "epoch": 0.78,
3618
+ "learning_rate": 5.867620452826375e-07,
3619
+ "loss": 0.5711,
3620
+ "step": 6020
3621
+ },
3622
+ {
3623
+ "epoch": 0.78,
3624
+ "learning_rate": 5.801200008677121e-07,
3625
+ "loss": 0.5851,
3626
+ "step": 6030
3627
+ },
3628
+ {
3629
+ "epoch": 0.78,
3630
+ "learning_rate": 5.735104504442313e-07,
3631
+ "loss": 0.5726,
3632
+ "step": 6040
3633
+ },
3634
+ {
3635
+ "epoch": 0.79,
3636
+ "learning_rate": 5.669335157898206e-07,
3637
+ "loss": 0.5488,
3638
+ "step": 6050
3639
+ },
3640
+ {
3641
+ "epoch": 0.79,
3642
+ "learning_rate": 5.603893180811778e-07,
3643
+ "loss": 0.5644,
3644
+ "step": 6060
3645
+ },
3646
+ {
3647
+ "epoch": 0.79,
3648
+ "learning_rate": 5.538779778918377e-07,
3649
+ "loss": 0.5686,
3650
+ "step": 6070
3651
+ },
3652
+ {
3653
+ "epoch": 0.79,
3654
+ "learning_rate": 5.473996151899528e-07,
3655
+ "loss": 0.5601,
3656
+ "step": 6080
3657
+ },
3658
+ {
3659
+ "epoch": 0.79,
3660
+ "learning_rate": 5.409543493360816e-07,
3661
+ "loss": 0.5825,
3662
+ "step": 6090
3663
+ },
3664
+ {
3665
+ "epoch": 0.79,
3666
+ "learning_rate": 5.345422990809909e-07,
3667
+ "loss": 0.5875,
3668
+ "step": 6100
3669
+ },
3670
+ {
3671
+ "epoch": 0.79,
3672
+ "learning_rate": 5.281635825634669e-07,
3673
+ "loss": 0.5729,
3674
+ "step": 6110
3675
+ },
3676
+ {
3677
+ "epoch": 0.79,
3678
+ "learning_rate": 5.218183173081353e-07,
3679
+ "loss": 0.5807,
3680
+ "step": 6120
3681
+ },
3682
+ {
3683
+ "epoch": 0.8,
3684
+ "learning_rate": 5.155066202233038e-07,
3685
+ "loss": 0.5762,
3686
+ "step": 6130
3687
+ },
3688
+ {
3689
+ "epoch": 0.8,
3690
+ "learning_rate": 5.092286075988009e-07,
3691
+ "loss": 0.5522,
3692
+ "step": 6140
3693
+ },
3694
+ {
3695
+ "epoch": 0.8,
3696
+ "learning_rate": 5.029843951038359e-07,
3697
+ "loss": 0.5893,
3698
+ "step": 6150
3699
+ },
3700
+ {
3701
+ "epoch": 0.8,
3702
+ "learning_rate": 4.9677409778487e-07,
3703
+ "loss": 0.5541,
3704
+ "step": 6160
3705
+ },
3706
+ {
3707
+ "epoch": 0.8,
3708
+ "learning_rate": 4.905978300634908e-07,
3709
+ "loss": 0.5514,
3710
+ "step": 6170
3711
+ },
3712
+ {
3713
+ "epoch": 0.8,
3714
+ "learning_rate": 4.844557057343104e-07,
3715
+ "loss": 0.592,
3716
+ "step": 6180
3717
+ },
3718
+ {
3719
+ "epoch": 0.8,
3720
+ "learning_rate": 4.783478379628659e-07,
3721
+ "loss": 0.5586,
3722
+ "step": 6190
3723
+ },
3724
+ {
3725
+ "epoch": 0.8,
3726
+ "learning_rate": 4.722743392835343e-07,
3727
+ "loss": 0.5806,
3728
+ "step": 6200
3729
+ },
3730
+ {
3731
+ "epoch": 0.81,
3732
+ "learning_rate": 4.66235321597459e-07,
3733
+ "loss": 0.5745,
3734
+ "step": 6210
3735
+ },
3736
+ {
3737
+ "epoch": 0.81,
3738
+ "learning_rate": 4.6023089617048937e-07,
3739
+ "loss": 0.595,
3740
+ "step": 6220
3741
+ },
3742
+ {
3743
+ "epoch": 0.81,
3744
+ "learning_rate": 4.542611736311283e-07,
3745
+ "loss": 0.58,
3746
+ "step": 6230
3747
+ },
3748
+ {
3749
+ "epoch": 0.81,
3750
+ "learning_rate": 4.483262639684977e-07,
3751
+ "loss": 0.5602,
3752
+ "step": 6240
3753
+ },
3754
+ {
3755
+ "epoch": 0.81,
3756
+ "learning_rate": 4.4242627653030966e-07,
3757
+ "loss": 0.5682,
3758
+ "step": 6250
3759
+ },
3760
+ {
3761
+ "epoch": 0.81,
3762
+ "learning_rate": 4.365613200208484e-07,
3763
+ "loss": 0.5957,
3764
+ "step": 6260
3765
+ },
3766
+ {
3767
+ "epoch": 0.81,
3768
+ "learning_rate": 4.307315024989758e-07,
3769
+ "loss": 0.574,
3770
+ "step": 6270
3771
+ },
3772
+ {
3773
+ "epoch": 0.82,
3774
+ "learning_rate": 4.2493693137613284e-07,
3775
+ "loss": 0.5369,
3776
+ "step": 6280
3777
+ },
3778
+ {
3779
+ "epoch": 0.82,
3780
+ "learning_rate": 4.191777134143632e-07,
3781
+ "loss": 0.5248,
3782
+ "step": 6290
3783
+ },
3784
+ {
3785
+ "epoch": 0.82,
3786
+ "learning_rate": 4.1345395472434947e-07,
3787
+ "loss": 0.5676,
3788
+ "step": 6300
3789
+ },
3790
+ {
3791
+ "epoch": 0.82,
3792
+ "learning_rate": 4.077657607634508e-07,
3793
+ "loss": 0.5623,
3794
+ "step": 6310
3795
+ },
3796
+ {
3797
+ "epoch": 0.82,
3798
+ "learning_rate": 4.0211323633376616e-07,
3799
+ "loss": 0.5743,
3800
+ "step": 6320
3801
+ },
3802
+ {
3803
+ "epoch": 0.82,
3804
+ "learning_rate": 3.96496485580203e-07,
3805
+ "loss": 0.5527,
3806
+ "step": 6330
3807
+ },
3808
+ {
3809
+ "epoch": 0.82,
3810
+ "learning_rate": 3.9091561198855486e-07,
3811
+ "loss": 0.5762,
3812
+ "step": 6340
3813
+ },
3814
+ {
3815
+ "epoch": 0.82,
3816
+ "learning_rate": 3.85370718383597e-07,
3817
+ "loss": 0.5795,
3818
+ "step": 6350
3819
+ },
3820
+ {
3821
+ "epoch": 0.83,
3822
+ "learning_rate": 3.79861906927192e-07,
3823
+ "loss": 0.5694,
3824
+ "step": 6360
3825
+ },
3826
+ {
3827
+ "epoch": 0.83,
3828
+ "learning_rate": 3.743892791164063e-07,
3829
+ "loss": 0.5891,
3830
+ "step": 6370
3831
+ },
3832
+ {
3833
+ "epoch": 0.83,
3834
+ "learning_rate": 3.6895293578164284e-07,
3835
+ "loss": 0.571,
3836
+ "step": 6380
3837
+ },
3838
+ {
3839
+ "epoch": 0.83,
3840
+ "learning_rate": 3.6355297708477984e-07,
3841
+ "loss": 0.5618,
3842
+ "step": 6390
3843
+ },
3844
+ {
3845
+ "epoch": 0.83,
3846
+ "learning_rate": 3.5818950251732617e-07,
3847
+ "loss": 0.5807,
3848
+ "step": 6400
3849
+ },
3850
+ {
3851
+ "epoch": 0.83,
3852
+ "learning_rate": 3.5286261089859146e-07,
3853
+ "loss": 0.5695,
3854
+ "step": 6410
3855
+ },
3856
+ {
3857
+ "epoch": 0.83,
3858
+ "learning_rate": 3.4757240037386145e-07,
3859
+ "loss": 0.5725,
3860
+ "step": 6420
3861
+ },
3862
+ {
3863
+ "epoch": 0.83,
3864
+ "learning_rate": 3.4231896841259104e-07,
3865
+ "loss": 0.5618,
3866
+ "step": 6430
3867
+ },
3868
+ {
3869
+ "epoch": 0.84,
3870
+ "learning_rate": 3.3710241180660966e-07,
3871
+ "loss": 0.5617,
3872
+ "step": 6440
3873
+ },
3874
+ {
3875
+ "epoch": 0.84,
3876
+ "learning_rate": 3.319228266683365e-07,
3877
+ "loss": 0.5889,
3878
+ "step": 6450
3879
+ },
3880
+ {
3881
+ "epoch": 0.84,
3882
+ "learning_rate": 3.267803084290091e-07,
3883
+ "loss": 0.5875,
3884
+ "step": 6460
3885
+ },
3886
+ {
3887
+ "epoch": 0.84,
3888
+ "learning_rate": 3.216749518369286e-07,
3889
+ "loss": 0.5585,
3890
+ "step": 6470
3891
+ },
3892
+ {
3893
+ "epoch": 0.84,
3894
+ "learning_rate": 3.1660685095570927e-07,
3895
+ "loss": 0.5613,
3896
+ "step": 6480
3897
+ },
3898
+ {
3899
+ "epoch": 0.84,
3900
+ "learning_rate": 3.1157609916254893e-07,
3901
+ "loss": 0.5827,
3902
+ "step": 6490
3903
+ },
3904
+ {
3905
+ "epoch": 0.84,
3906
+ "learning_rate": 3.0658278914650694e-07,
3907
+ "loss": 0.536,
3908
+ "step": 6500
3909
+ },
3910
+ {
3911
+ "epoch": 0.84,
3912
+ "learning_rate": 3.016270129067964e-07,
3913
+ "loss": 0.5667,
3914
+ "step": 6510
3915
+ },
3916
+ {
3917
+ "epoch": 0.85,
3918
+ "learning_rate": 2.9670886175109e-07,
3919
+ "loss": 0.5759,
3920
+ "step": 6520
3921
+ },
3922
+ {
3923
+ "epoch": 0.85,
3924
+ "learning_rate": 2.9182842629383864e-07,
3925
+ "loss": 0.5817,
3926
+ "step": 6530
3927
+ },
3928
+ {
3929
+ "epoch": 0.85,
3930
+ "learning_rate": 2.869857964545971e-07,
3931
+ "loss": 0.5621,
3932
+ "step": 6540
3933
+ },
3934
+ {
3935
+ "epoch": 0.85,
3936
+ "learning_rate": 2.8218106145637425e-07,
3937
+ "loss": 0.5713,
3938
+ "step": 6550
3939
+ },
3940
+ {
3941
+ "epoch": 0.85,
3942
+ "learning_rate": 2.77414309823984e-07,
3943
+ "loss": 0.5694,
3944
+ "step": 6560
3945
+ },
3946
+ {
3947
+ "epoch": 0.85,
3948
+ "learning_rate": 2.7268562938241607e-07,
3949
+ "loss": 0.5928,
3950
+ "step": 6570
3951
+ },
3952
+ {
3953
+ "epoch": 0.85,
3954
+ "learning_rate": 2.6799510725521807e-07,
3955
+ "loss": 0.5558,
3956
+ "step": 6580
3957
+ },
3958
+ {
3959
+ "epoch": 0.86,
3960
+ "learning_rate": 2.633428298628892e-07,
3961
+ "loss": 0.5621,
3962
+ "step": 6590
3963
+ },
3964
+ {
3965
+ "epoch": 0.86,
3966
+ "learning_rate": 2.587288829212894e-07,
3967
+ "loss": 0.5671,
3968
+ "step": 6600
3969
+ },
3970
+ {
3971
+ "epoch": 0.86,
3972
+ "learning_rate": 2.541533514400597e-07,
3973
+ "loss": 0.5849,
3974
+ "step": 6610
3975
+ },
3976
+ {
3977
+ "epoch": 0.86,
3978
+ "learning_rate": 2.4961631972105535e-07,
3979
+ "loss": 0.5439,
3980
+ "step": 6620
3981
+ },
3982
+ {
3983
+ "epoch": 0.86,
3984
+ "learning_rate": 2.451178713567926e-07,
3985
+ "loss": 0.5871,
3986
+ "step": 6630
3987
+ },
3988
+ {
3989
+ "epoch": 0.86,
3990
+ "learning_rate": 2.4065808922890927e-07,
3991
+ "loss": 0.6058,
3992
+ "step": 6640
3993
+ },
3994
+ {
3995
+ "epoch": 0.86,
3996
+ "learning_rate": 2.3623705550663684e-07,
3997
+ "loss": 0.5589,
3998
+ "step": 6650
3999
+ },
4000
+ {
4001
+ "epoch": 0.86,
4002
+ "learning_rate": 2.3185485164528743e-07,
4003
+ "loss": 0.5592,
4004
+ "step": 6660
4005
+ },
4006
+ {
4007
+ "epoch": 0.87,
4008
+ "learning_rate": 2.275115583847539e-07,
4009
+ "loss": 0.5976,
4010
+ "step": 6670
4011
+ },
4012
+ {
4013
+ "epoch": 0.87,
4014
+ "learning_rate": 2.2320725574801746e-07,
4015
+ "loss": 0.5844,
4016
+ "step": 6680
4017
+ },
4018
+ {
4019
+ "epoch": 0.87,
4020
+ "learning_rate": 2.189420230396803e-07,
4021
+ "loss": 0.5654,
4022
+ "step": 6690
4023
+ },
4024
+ {
4025
+ "epoch": 0.87,
4026
+ "learning_rate": 2.1471593884449914e-07,
4027
+ "loss": 0.5768,
4028
+ "step": 6700
4029
+ },
4030
+ {
4031
+ "epoch": 0.87,
4032
+ "learning_rate": 2.1052908102593985e-07,
4033
+ "loss": 0.5814,
4034
+ "step": 6710
4035
+ },
4036
+ {
4037
+ "epoch": 0.87,
4038
+ "learning_rate": 2.0638152672474132e-07,
4039
+ "loss": 0.6007,
4040
+ "step": 6720
4041
+ },
4042
+ {
4043
+ "epoch": 0.87,
4044
+ "learning_rate": 2.0227335235749564e-07,
4045
+ "loss": 0.5712,
4046
+ "step": 6730
4047
+ },
4048
+ {
4049
+ "epoch": 0.87,
4050
+ "learning_rate": 1.9820463361523924e-07,
4051
+ "loss": 0.5537,
4052
+ "step": 6740
4053
+ },
4054
+ {
4055
+ "epoch": 0.88,
4056
+ "learning_rate": 1.9417544546205923e-07,
4057
+ "loss": 0.546,
4058
+ "step": 6750
4059
+ },
4060
+ {
4061
+ "epoch": 0.88,
4062
+ "learning_rate": 1.9018586213371086e-07,
4063
+ "loss": 0.5498,
4064
+ "step": 6760
4065
+ },
4066
+ {
4067
+ "epoch": 0.88,
4068
+ "learning_rate": 1.8623595713625057e-07,
4069
+ "loss": 0.5738,
4070
+ "step": 6770
4071
+ },
4072
+ {
4073
+ "epoch": 0.88,
4074
+ "learning_rate": 1.823258032446819e-07,
4075
+ "loss": 0.5741,
4076
+ "step": 6780
4077
+ },
4078
+ {
4079
+ "epoch": 0.88,
4080
+ "learning_rate": 1.7845547250161414e-07,
4081
+ "loss": 0.5767,
4082
+ "step": 6790
4083
+ },
4084
+ {
4085
+ "epoch": 0.88,
4086
+ "learning_rate": 1.7462503621593505e-07,
4087
+ "loss": 0.5909,
4088
+ "step": 6800
4089
+ },
4090
+ {
4091
+ "epoch": 0.88,
4092
+ "learning_rate": 1.708345649614984e-07,
4093
+ "loss": 0.5956,
4094
+ "step": 6810
4095
+ },
4096
+ {
4097
+ "epoch": 0.89,
4098
+ "learning_rate": 1.6708412857581967e-07,
4099
+ "loss": 0.5817,
4100
+ "step": 6820
4101
+ },
4102
+ {
4103
+ "epoch": 0.89,
4104
+ "learning_rate": 1.6337379615879572e-07,
4105
+ "loss": 0.5775,
4106
+ "step": 6830
4107
+ },
4108
+ {
4109
+ "epoch": 0.89,
4110
+ "learning_rate": 1.5970363607142522e-07,
4111
+ "loss": 0.5778,
4112
+ "step": 6840
4113
+ },
4114
+ {
4115
+ "epoch": 0.89,
4116
+ "learning_rate": 1.5607371593455302e-07,
4117
+ "loss": 0.5534,
4118
+ "step": 6850
4119
+ },
4120
+ {
4121
+ "epoch": 0.89,
4122
+ "learning_rate": 1.5248410262762378e-07,
4123
+ "loss": 0.5519,
4124
+ "step": 6860
4125
+ },
4126
+ {
4127
+ "epoch": 0.89,
4128
+ "learning_rate": 1.489348622874479e-07,
4129
+ "loss": 0.5612,
4130
+ "step": 6870
4131
+ },
4132
+ {
4133
+ "epoch": 0.89,
4134
+ "learning_rate": 1.4542606030698488e-07,
4135
+ "loss": 0.5542,
4136
+ "step": 6880
4137
+ },
4138
+ {
4139
+ "epoch": 0.89,
4140
+ "learning_rate": 1.419577613341387e-07,
4141
+ "loss": 0.5832,
4142
+ "step": 6890
4143
+ },
4144
+ {
4145
+ "epoch": 0.9,
4146
+ "learning_rate": 1.385300292705652e-07,
4147
+ "loss": 0.578,
4148
+ "step": 6900
4149
+ },
4150
+ {
4151
+ "epoch": 0.9,
4152
+ "learning_rate": 1.351429272704944e-07,
4153
+ "loss": 0.5643,
4154
+ "step": 6910
4155
+ },
4156
+ {
4157
+ "epoch": 0.9,
4158
+ "learning_rate": 1.3179651773956942e-07,
4159
+ "loss": 0.5789,
4160
+ "step": 6920
4161
+ },
4162
+ {
4163
+ "epoch": 0.9,
4164
+ "learning_rate": 1.2849086233369491e-07,
4165
+ "loss": 0.5766,
4166
+ "step": 6930
4167
+ },
4168
+ {
4169
+ "epoch": 0.9,
4170
+ "learning_rate": 1.2522602195790083e-07,
4171
+ "loss": 0.5607,
4172
+ "step": 6940
4173
+ },
4174
+ {
4175
+ "epoch": 0.9,
4176
+ "learning_rate": 1.220020567652213e-07,
4177
+ "loss": 0.5761,
4178
+ "step": 6950
4179
+ },
4180
+ {
4181
+ "epoch": 0.9,
4182
+ "learning_rate": 1.1881902615558554e-07,
4183
+ "loss": 0.5611,
4184
+ "step": 6960
4185
+ },
4186
+ {
4187
+ "epoch": 0.9,
4188
+ "learning_rate": 1.1567698877472404e-07,
4189
+ "loss": 0.5863,
4190
+ "step": 6970
4191
+ },
4192
+ {
4193
+ "epoch": 0.91,
4194
+ "learning_rate": 1.1257600251308756e-07,
4195
+ "loss": 0.59,
4196
+ "step": 6980
4197
+ },
4198
+ {
4199
+ "epoch": 0.91,
4200
+ "learning_rate": 1.0951612450478108e-07,
4201
+ "loss": 0.5798,
4202
+ "step": 6990
4203
+ },
4204
+ {
4205
+ "epoch": 0.91,
4206
+ "learning_rate": 1.0649741112651027e-07,
4207
+ "loss": 0.5696,
4208
+ "step": 7000
4209
+ },
4210
+ {
4211
+ "epoch": 0.91,
4212
+ "learning_rate": 1.035199179965437e-07,
4213
+ "loss": 0.5625,
4214
+ "step": 7010
4215
+ },
4216
+ {
4217
+ "epoch": 0.91,
4218
+ "learning_rate": 1.0058369997368691e-07,
4219
+ "loss": 0.5528,
4220
+ "step": 7020
4221
+ },
4222
+ {
4223
+ "epoch": 0.91,
4224
+ "learning_rate": 9.768881115627403e-08,
4225
+ "loss": 0.5614,
4226
+ "step": 7030
4227
+ },
4228
+ {
4229
+ "epoch": 0.91,
4230
+ "learning_rate": 9.483530488116837e-08,
4231
+ "loss": 0.5517,
4232
+ "step": 7040
4233
+ },
4234
+ {
4235
+ "epoch": 0.91,
4236
+ "learning_rate": 9.202323372278011e-08,
4237
+ "loss": 0.5992,
4238
+ "step": 7050
4239
+ },
4240
+ {
4241
+ "epoch": 0.92,
4242
+ "learning_rate": 8.92526494921002e-08,
4243
+ "loss": 0.5633,
4244
+ "step": 7060
4245
+ },
4246
+ {
4247
+ "epoch": 0.92,
4248
+ "learning_rate": 8.652360323574267e-08,
4249
+ "loss": 0.5581,
4250
+ "step": 7070
4251
+ },
4252
+ {
4253
+ "epoch": 0.92,
4254
+ "learning_rate": 8.383614523500516e-08,
4255
+ "loss": 0.5632,
4256
+ "step": 7080
4257
+ },
4258
+ {
4259
+ "epoch": 0.92,
4260
+ "learning_rate": 8.119032500494352e-08,
4261
+ "loss": 0.567,
4262
+ "step": 7090
4263
+ },
4264
+ {
4265
+ "epoch": 0.92,
4266
+ "learning_rate": 7.8586191293458e-08,
4267
+ "loss": 0.5361,
4268
+ "step": 7100
4269
+ },
4270
+ {
4271
+ "epoch": 0.92,
4272
+ "learning_rate": 7.602379208039681e-08,
4273
+ "loss": 0.608,
4274
+ "step": 7110
4275
+ },
4276
+ {
4277
+ "epoch": 0.92,
4278
+ "learning_rate": 7.350317457667014e-08,
4279
+ "loss": 0.5594,
4280
+ "step": 7120
4281
+ },
4282
+ {
4283
+ "epoch": 0.93,
4284
+ "learning_rate": 7.102438522338184e-08,
4285
+ "loss": 0.5746,
4286
+ "step": 7130
4287
+ },
4288
+ {
4289
+ "epoch": 0.93,
4290
+ "learning_rate": 6.858746969097272e-08,
4291
+ "loss": 0.5698,
4292
+ "step": 7140
4293
+ },
4294
+ {
4295
+ "epoch": 0.93,
4296
+ "learning_rate": 6.619247287838001e-08,
4297
+ "loss": 0.5633,
4298
+ "step": 7150
4299
+ },
4300
+ {
4301
+ "epoch": 0.93,
4302
+ "learning_rate": 6.383943891220943e-08,
4303
+ "loss": 0.5627,
4304
+ "step": 7160
4305
+ },
4306
+ {
4307
+ "epoch": 0.93,
4308
+ "learning_rate": 6.152841114592296e-08,
4309
+ "loss": 0.5629,
4310
+ "step": 7170
4311
+ },
4312
+ {
4313
+ "epoch": 0.93,
4314
+ "learning_rate": 5.9259432159039674e-08,
4315
+ "loss": 0.5933,
4316
+ "step": 7180
4317
+ },
4318
+ {
4319
+ "epoch": 0.93,
4320
+ "learning_rate": 5.703254375634967e-08,
4321
+ "loss": 0.5361,
4322
+ "step": 7190
4323
+ },
4324
+ {
4325
+ "epoch": 0.93,
4326
+ "learning_rate": 5.484778696714723e-08,
4327
+ "loss": 0.5623,
4328
+ "step": 7200
4329
+ },
4330
+ {
4331
+ "epoch": 0.94,
4332
+ "learning_rate": 5.270520204447154e-08,
4333
+ "loss": 0.5728,
4334
+ "step": 7210
4335
+ },
4336
+ {
4337
+ "epoch": 0.94,
4338
+ "learning_rate": 5.060482846436743e-08,
4339
+ "loss": 0.5516,
4340
+ "step": 7220
4341
+ },
4342
+ {
4343
+ "epoch": 0.94,
4344
+ "learning_rate": 4.854670492515627e-08,
4345
+ "loss": 0.5855,
4346
+ "step": 7230
4347
+ },
4348
+ {
4349
+ "epoch": 0.94,
4350
+ "learning_rate": 4.65308693467243e-08,
4351
+ "loss": 0.5654,
4352
+ "step": 7240
4353
+ },
4354
+ {
4355
+ "epoch": 0.94,
4356
+ "learning_rate": 4.4557358869823455e-08,
4357
+ "loss": 0.6076,
4358
+ "step": 7250
4359
+ },
4360
+ {
4361
+ "epoch": 0.94,
4362
+ "learning_rate": 4.262620985538675e-08,
4363
+ "loss": 0.5791,
4364
+ "step": 7260
4365
+ },
4366
+ {
4367
+ "epoch": 0.94,
4368
+ "learning_rate": 4.0737457883858756e-08,
4369
+ "loss": 0.5522,
4370
+ "step": 7270
4371
+ },
4372
+ {
4373
+ "epoch": 0.94,
4374
+ "learning_rate": 3.889113775454016e-08,
4375
+ "loss": 0.5791,
4376
+ "step": 7280
4377
+ },
4378
+ {
4379
+ "epoch": 0.95,
4380
+ "learning_rate": 3.7087283484946334e-08,
4381
+ "loss": 0.5661,
4382
+ "step": 7290
4383
+ },
4384
+ {
4385
+ "epoch": 0.95,
4386
+ "learning_rate": 3.532592831018023e-08,
4387
+ "loss": 0.5753,
4388
+ "step": 7300
4389
+ },
4390
+ {
4391
+ "epoch": 0.95,
4392
+ "learning_rate": 3.36071046823214e-08,
4393
+ "loss": 0.5879,
4394
+ "step": 7310
4395
+ },
4396
+ {
4397
+ "epoch": 0.95,
4398
+ "learning_rate": 3.193084426982625e-08,
4399
+ "loss": 0.5609,
4400
+ "step": 7320
4401
+ },
4402
+ {
4403
+ "epoch": 0.95,
4404
+ "learning_rate": 3.029717795694515e-08,
4405
+ "loss": 0.5779,
4406
+ "step": 7330
4407
+ },
4408
+ {
4409
+ "epoch": 0.95,
4410
+ "learning_rate": 2.870613584315517e-08,
4411
+ "loss": 0.5748,
4412
+ "step": 7340
4413
+ },
4414
+ {
4415
+ "epoch": 0.95,
4416
+ "learning_rate": 2.7157747242602997e-08,
4417
+ "loss": 0.5437,
4418
+ "step": 7350
4419
+ },
4420
+ {
4421
+ "epoch": 0.96,
4422
+ "learning_rate": 2.565204068356577e-08,
4423
+ "loss": 0.5945,
4424
+ "step": 7360
4425
+ },
4426
+ {
4427
+ "epoch": 0.96,
4428
+ "learning_rate": 2.4189043907925973e-08,
4429
+ "loss": 0.5528,
4430
+ "step": 7370
4431
+ },
4432
+ {
4433
+ "epoch": 0.96,
4434
+ "learning_rate": 2.276878387066014e-08,
4435
+ "loss": 0.5716,
4436
+ "step": 7380
4437
+ },
4438
+ {
4439
+ "epoch": 0.96,
4440
+ "learning_rate": 2.139128673934133e-08,
4441
+ "loss": 0.6122,
4442
+ "step": 7390
4443
+ },
4444
+ {
4445
+ "epoch": 0.96,
4446
+ "learning_rate": 2.0056577893658253e-08,
4447
+ "loss": 0.5787,
4448
+ "step": 7400
4449
+ },
4450
+ {
4451
+ "epoch": 0.96,
4452
+ "learning_rate": 1.876468192494691e-08,
4453
+ "loss": 0.5693,
4454
+ "step": 7410
4455
+ },
4456
+ {
4457
+ "epoch": 0.96,
4458
+ "learning_rate": 1.7515622635737304e-08,
4459
+ "loss": 0.5558,
4460
+ "step": 7420
4461
+ },
4462
+ {
4463
+ "epoch": 0.96,
4464
+ "learning_rate": 1.6309423039316017e-08,
4465
+ "loss": 0.5533,
4466
+ "step": 7430
4467
+ },
4468
+ {
4469
+ "epoch": 0.97,
4470
+ "learning_rate": 1.5146105359300794e-08,
4471
+ "loss": 0.5447,
4472
+ "step": 7440
4473
+ },
4474
+ {
4475
+ "epoch": 0.97,
4476
+ "learning_rate": 1.4025691029232247e-08,
4477
+ "loss": 0.5703,
4478
+ "step": 7450
4479
+ },
4480
+ {
4481
+ "epoch": 0.97,
4482
+ "learning_rate": 1.2948200692177845e-08,
4483
+ "loss": 0.5734,
4484
+ "step": 7460
4485
+ },
4486
+ {
4487
+ "epoch": 0.97,
4488
+ "learning_rate": 1.191365420035225e-08,
4489
+ "loss": 0.5465,
4490
+ "step": 7470
4491
+ },
4492
+ {
4493
+ "epoch": 0.97,
4494
+ "learning_rate": 1.0922070614752514e-08,
4495
+ "loss": 0.5691,
4496
+ "step": 7480
4497
+ },
4498
+ {
4499
+ "epoch": 0.97,
4500
+ "learning_rate": 9.973468204804713e-09,
4501
+ "loss": 0.5532,
4502
+ "step": 7490
4503
+ },
4504
+ {
4505
+ "epoch": 0.97,
4506
+ "learning_rate": 9.0678644480288e-09,
4507
+ "loss": 0.5912,
4508
+ "step": 7500
4509
+ },
4510
+ {
4511
+ "epoch": 0.97,
4512
+ "learning_rate": 8.205276029716462e-09,
4513
+ "loss": 0.5719,
4514
+ "step": 7510
4515
+ },
4516
+ {
4517
+ "epoch": 0.98,
4518
+ "learning_rate": 7.385718842623043e-09,
4519
+ "loss": 0.5561,
4520
+ "step": 7520
4521
+ },
4522
+ {
4523
+ "epoch": 0.98,
4524
+ "learning_rate": 6.60920798667584e-09,
4525
+ "loss": 0.5488,
4526
+ "step": 7530
4527
+ },
4528
+ {
4529
+ "epoch": 0.98,
4530
+ "learning_rate": 5.875757768694904e-09,
4531
+ "loss": 0.5506,
4532
+ "step": 7540
4533
+ },
4534
+ {
4535
+ "epoch": 0.98,
4536
+ "learning_rate": 5.185381702129971e-09,
4537
+ "loss": 0.5614,
4538
+ "step": 7550
4539
+ },
4540
+ {
4541
+ "epoch": 0.98,
4542
+ "learning_rate": 4.538092506810916e-09,
4543
+ "loss": 0.5688,
4544
+ "step": 7560
4545
+ },
4546
+ {
4547
+ "epoch": 0.98,
4548
+ "learning_rate": 3.933902108714092e-09,
4549
+ "loss": 0.5801,
4550
+ "step": 7570
4551
+ },
4552
+ {
4553
+ "epoch": 0.98,
4554
+ "learning_rate": 3.372821639742191e-09,
4555
+ "loss": 0.5541,
4556
+ "step": 7580
4557
+ },
4558
+ {
4559
+ "epoch": 0.99,
4560
+ "learning_rate": 2.8548614375194582e-09,
4561
+ "loss": 0.5836,
4562
+ "step": 7590
4563
+ },
4564
+ {
4565
+ "epoch": 0.99,
4566
+ "learning_rate": 2.380031045200962e-09,
4567
+ "loss": 0.5542,
4568
+ "step": 7600
4569
+ },
4570
+ {
4571
+ "epoch": 0.99,
4572
+ "learning_rate": 1.948339211296432e-09,
4573
+ "loss": 0.5689,
4574
+ "step": 7610
4575
+ },
4576
+ {
4577
+ "epoch": 0.99,
4578
+ "learning_rate": 1.5597938895097092e-09,
4579
+ "loss": 0.5931,
4580
+ "step": 7620
4581
+ },
4582
+ {
4583
+ "epoch": 0.99,
4584
+ "learning_rate": 1.2144022385922498e-09,
4585
+ "loss": 0.5175,
4586
+ "step": 7630
4587
+ },
4588
+ {
4589
+ "epoch": 0.99,
4590
+ "learning_rate": 9.121706222106791e-10,
4591
+ "loss": 0.5868,
4592
+ "step": 7640
4593
+ },
4594
+ {
4595
+ "epoch": 0.99,
4596
+ "learning_rate": 6.531046088294363e-10,
4597
+ "loss": 0.5521,
4598
+ "step": 7650
4599
+ },
4600
+ {
4601
+ "epoch": 0.99,
4602
+ "learning_rate": 4.372089716092944e-10,
4603
+ "loss": 0.5685,
4604
+ "step": 7660
4605
+ },
4606
+ {
4607
+ "epoch": 1.0,
4608
+ "learning_rate": 2.644876883181081e-10,
4609
+ "loss": 0.5718,
4610
+ "step": 7670
4611
+ },
4612
+ {
4613
+ "epoch": 1.0,
4614
+ "learning_rate": 1.3494394125821567e-10,
4615
+ "loss": 0.5407,
4616
+ "step": 7680
4617
+ },
4618
+ {
4619
+ "epoch": 1.0,
4620
+ "learning_rate": 4.858011720763194e-11,
4621
+ "loss": 0.5773,
4622
+ "step": 7690
4623
+ },
4624
+ {
4625
+ "epoch": 1.0,
4626
+ "learning_rate": 5.397807376072982e-12,
4627
+ "loss": 0.592,
4628
+ "step": 7700
4629
+ },
4630
+ {
4631
+ "epoch": 1.0,
4632
+ "eval_loss": 0.5662159323692322,
4633
+ "eval_runtime": 58.2198,
4634
+ "eval_samples_per_second": 186.827,
4635
+ "eval_steps_per_second": 23.36,
4636
+ "step": 7705
4637
+ },
4638
+ {
4639
+ "epoch": 1.0,
4640
+ "step": 7705,
4641
+ "total_flos": 6.229344692427817e+18,
4642
+ "train_loss": 0.6247228051840988,
4643
+ "train_runtime": 911.3454,
4644
+ "train_samples_per_second": 67.629,
4645
+ "train_steps_per_second": 8.455
4646
+ }
4647
+ ],
4648
+ "max_steps": 7705,
4649
+ "num_train_epochs": 1,
4650
+ "total_flos": 6.229344692427817e+18,
4651
+ "trial_name": null,
4652
+ "trial_params": null
4653
+ }