End of training
Browse files- all_results.json +15 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1686627593.serv-9225.1849788.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1345 -0
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.84,
|
| 3 |
+
"eval_accuracy": 0.5797464745406702,
|
| 4 |
+
"eval_loss": 2.262802839279175,
|
| 5 |
+
"eval_runtime": 1877.391,
|
| 6 |
+
"eval_samples": 308356,
|
| 7 |
+
"eval_samples_per_second": 164.247,
|
| 8 |
+
"eval_steps_per_second": 3.422,
|
| 9 |
+
"perplexity": 9.609986702623116,
|
| 10 |
+
"train_loss": 2.3798838982364097,
|
| 11 |
+
"train_runtime": 107983.5978,
|
| 12 |
+
"train_samples": 5858758,
|
| 13 |
+
"train_samples_per_second": 271.28,
|
| 14 |
+
"train_steps_per_second": 5.652
|
| 15 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.84,
|
| 3 |
+
"eval_accuracy": 0.5797464745406702,
|
| 4 |
+
"eval_loss": 2.262802839279175,
|
| 5 |
+
"eval_runtime": 1877.391,
|
| 6 |
+
"eval_samples": 308356,
|
| 7 |
+
"eval_samples_per_second": 164.247,
|
| 8 |
+
"eval_steps_per_second": 3.422,
|
| 9 |
+
"perplexity": 9.609986702623116
|
| 10 |
+
}
|
logs/events.out.tfevents.1686627593.serv-9225.1849788.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f41213285d6a69652ea0ca676fb26147c9f85b2953359159a486f8d74394025
|
| 3 |
+
size 369
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.84,
|
| 3 |
+
"train_loss": 2.3798838982364097,
|
| 4 |
+
"train_runtime": 107983.5978,
|
| 5 |
+
"train_samples": 5858758,
|
| 6 |
+
"train_samples_per_second": 271.28,
|
| 7 |
+
"train_steps_per_second": 5.652
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1345 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 2.2642505168914795,
|
| 3 |
+
"best_model_checkpoint": "bert_12_layer_model_v1_complete_training_new_120/checkpoint-100000",
|
| 4 |
+
"epoch": 0.8401251863867997,
|
| 5 |
+
"global_step": 102544,
|
| 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": 5.000000000000001e-07,
|
| 13 |
+
"loss": 2.4457,
|
| 14 |
+
"step": 500
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.01,
|
| 18 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 19 |
+
"loss": 2.4345,
|
| 20 |
+
"step": 1000
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.01,
|
| 24 |
+
"learning_rate": 1.5e-06,
|
| 25 |
+
"loss": 2.4321,
|
| 26 |
+
"step": 1500
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.02,
|
| 30 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 31 |
+
"loss": 2.4263,
|
| 32 |
+
"step": 2000
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.02,
|
| 36 |
+
"learning_rate": 2.5e-06,
|
| 37 |
+
"loss": 2.425,
|
| 38 |
+
"step": 2500
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.02,
|
| 42 |
+
"learning_rate": 3e-06,
|
| 43 |
+
"loss": 2.4301,
|
| 44 |
+
"step": 3000
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.03,
|
| 48 |
+
"learning_rate": 3.5e-06,
|
| 49 |
+
"loss": 2.4237,
|
| 50 |
+
"step": 3500
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.03,
|
| 54 |
+
"learning_rate": 4.000000000000001e-06,
|
| 55 |
+
"loss": 2.4301,
|
| 56 |
+
"step": 4000
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.04,
|
| 60 |
+
"learning_rate": 4.5e-06,
|
| 61 |
+
"loss": 2.4274,
|
| 62 |
+
"step": 4500
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.04,
|
| 66 |
+
"learning_rate": 5e-06,
|
| 67 |
+
"loss": 2.4339,
|
| 68 |
+
"step": 5000
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.05,
|
| 72 |
+
"learning_rate": 5.500000000000001e-06,
|
| 73 |
+
"loss": 2.4271,
|
| 74 |
+
"step": 5500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.05,
|
| 78 |
+
"learning_rate": 6e-06,
|
| 79 |
+
"loss": 2.4326,
|
| 80 |
+
"step": 6000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.05,
|
| 84 |
+
"learning_rate": 6.5000000000000004e-06,
|
| 85 |
+
"loss": 2.4352,
|
| 86 |
+
"step": 6500
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.06,
|
| 90 |
+
"learning_rate": 7e-06,
|
| 91 |
+
"loss": 2.4296,
|
| 92 |
+
"step": 7000
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.06,
|
| 96 |
+
"learning_rate": 7.500000000000001e-06,
|
| 97 |
+
"loss": 2.4327,
|
| 98 |
+
"step": 7500
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.07,
|
| 102 |
+
"learning_rate": 8.000000000000001e-06,
|
| 103 |
+
"loss": 2.4353,
|
| 104 |
+
"step": 8000
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.07,
|
| 108 |
+
"learning_rate": 8.5e-06,
|
| 109 |
+
"loss": 2.4334,
|
| 110 |
+
"step": 8500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.07,
|
| 114 |
+
"learning_rate": 9e-06,
|
| 115 |
+
"loss": 2.4362,
|
| 116 |
+
"step": 9000
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.08,
|
| 120 |
+
"learning_rate": 9.5e-06,
|
| 121 |
+
"loss": 2.4367,
|
| 122 |
+
"step": 9500
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.08,
|
| 126 |
+
"learning_rate": 1e-05,
|
| 127 |
+
"loss": 2.4425,
|
| 128 |
+
"step": 10000
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.08,
|
| 132 |
+
"eval_accuracy": 0.5641066783899575,
|
| 133 |
+
"eval_loss": 2.383796453475952,
|
| 134 |
+
"eval_runtime": 1886.5077,
|
| 135 |
+
"eval_samples_per_second": 163.453,
|
| 136 |
+
"eval_steps_per_second": 3.406,
|
| 137 |
+
"step": 10000
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.09,
|
| 141 |
+
"learning_rate": 9.991670692498626e-06,
|
| 142 |
+
"loss": 2.4407,
|
| 143 |
+
"step": 10500
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.09,
|
| 147 |
+
"learning_rate": 9.983341384997253e-06,
|
| 148 |
+
"loss": 2.453,
|
| 149 |
+
"step": 11000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.09,
|
| 153 |
+
"learning_rate": 9.975012077495878e-06,
|
| 154 |
+
"loss": 2.4437,
|
| 155 |
+
"step": 11500
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 0.1,
|
| 159 |
+
"learning_rate": 9.966682769994504e-06,
|
| 160 |
+
"loss": 2.4417,
|
| 161 |
+
"step": 12000
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.1,
|
| 165 |
+
"learning_rate": 9.95835346249313e-06,
|
| 166 |
+
"loss": 2.438,
|
| 167 |
+
"step": 12500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 0.11,
|
| 171 |
+
"learning_rate": 9.950024154991756e-06,
|
| 172 |
+
"loss": 2.4354,
|
| 173 |
+
"step": 13000
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.11,
|
| 177 |
+
"learning_rate": 9.941694847490381e-06,
|
| 178 |
+
"loss": 2.4396,
|
| 179 |
+
"step": 13500
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.11,
|
| 183 |
+
"learning_rate": 9.933365539989006e-06,
|
| 184 |
+
"loss": 2.4402,
|
| 185 |
+
"step": 14000
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.12,
|
| 189 |
+
"learning_rate": 9.925036232487631e-06,
|
| 190 |
+
"loss": 2.4302,
|
| 191 |
+
"step": 14500
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.12,
|
| 195 |
+
"learning_rate": 9.916706924986258e-06,
|
| 196 |
+
"loss": 2.4353,
|
| 197 |
+
"step": 15000
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 0.13,
|
| 201 |
+
"learning_rate": 9.908377617484883e-06,
|
| 202 |
+
"loss": 2.4302,
|
| 203 |
+
"step": 15500
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 0.13,
|
| 207 |
+
"learning_rate": 9.90004830998351e-06,
|
| 208 |
+
"loss": 2.4342,
|
| 209 |
+
"step": 16000
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.14,
|
| 213 |
+
"learning_rate": 9.891719002482134e-06,
|
| 214 |
+
"loss": 2.4367,
|
| 215 |
+
"step": 16500
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.14,
|
| 219 |
+
"learning_rate": 9.883389694980761e-06,
|
| 220 |
+
"loss": 2.4308,
|
| 221 |
+
"step": 17000
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.14,
|
| 225 |
+
"learning_rate": 9.875060387479386e-06,
|
| 226 |
+
"loss": 2.4341,
|
| 227 |
+
"step": 17500
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.15,
|
| 231 |
+
"learning_rate": 9.866731079978011e-06,
|
| 232 |
+
"loss": 2.434,
|
| 233 |
+
"step": 18000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.15,
|
| 237 |
+
"learning_rate": 9.858401772476636e-06,
|
| 238 |
+
"loss": 2.4361,
|
| 239 |
+
"step": 18500
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.16,
|
| 243 |
+
"learning_rate": 9.850072464975263e-06,
|
| 244 |
+
"loss": 2.4313,
|
| 245 |
+
"step": 19000
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 0.16,
|
| 249 |
+
"learning_rate": 9.84174315747389e-06,
|
| 250 |
+
"loss": 2.4304,
|
| 251 |
+
"step": 19500
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.16,
|
| 255 |
+
"learning_rate": 9.833413849972514e-06,
|
| 256 |
+
"loss": 2.4415,
|
| 257 |
+
"step": 20000
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.16,
|
| 261 |
+
"eval_accuracy": 0.5658001427669171,
|
| 262 |
+
"eval_loss": 2.370534896850586,
|
| 263 |
+
"eval_runtime": 1888.3249,
|
| 264 |
+
"eval_samples_per_second": 163.296,
|
| 265 |
+
"eval_steps_per_second": 3.402,
|
| 266 |
+
"step": 20000
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.17,
|
| 270 |
+
"learning_rate": 9.82508454247114e-06,
|
| 271 |
+
"loss": 2.4238,
|
| 272 |
+
"step": 20500
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.17,
|
| 276 |
+
"learning_rate": 9.816755234969766e-06,
|
| 277 |
+
"loss": 2.4273,
|
| 278 |
+
"step": 21000
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.18,
|
| 282 |
+
"learning_rate": 9.808425927468391e-06,
|
| 283 |
+
"loss": 2.4231,
|
| 284 |
+
"step": 21500
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.18,
|
| 288 |
+
"learning_rate": 9.800096619967016e-06,
|
| 289 |
+
"loss": 2.4225,
|
| 290 |
+
"step": 22000
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.18,
|
| 294 |
+
"learning_rate": 9.791767312465643e-06,
|
| 295 |
+
"loss": 2.4157,
|
| 296 |
+
"step": 22500
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.19,
|
| 300 |
+
"learning_rate": 9.783438004964268e-06,
|
| 301 |
+
"loss": 2.415,
|
| 302 |
+
"step": 23000
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 0.19,
|
| 306 |
+
"learning_rate": 9.775108697462895e-06,
|
| 307 |
+
"loss": 2.4223,
|
| 308 |
+
"step": 23500
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 0.2,
|
| 312 |
+
"learning_rate": 9.76677938996152e-06,
|
| 313 |
+
"loss": 2.4173,
|
| 314 |
+
"step": 24000
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.2,
|
| 318 |
+
"learning_rate": 9.758450082460145e-06,
|
| 319 |
+
"loss": 2.4165,
|
| 320 |
+
"step": 24500
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.2,
|
| 324 |
+
"learning_rate": 9.750120774958771e-06,
|
| 325 |
+
"loss": 2.4105,
|
| 326 |
+
"step": 25000
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.21,
|
| 330 |
+
"learning_rate": 9.741791467457396e-06,
|
| 331 |
+
"loss": 2.4157,
|
| 332 |
+
"step": 25500
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.21,
|
| 336 |
+
"learning_rate": 9.733462159956021e-06,
|
| 337 |
+
"loss": 2.4165,
|
| 338 |
+
"step": 26000
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.22,
|
| 342 |
+
"learning_rate": 9.725132852454648e-06,
|
| 343 |
+
"loss": 2.4188,
|
| 344 |
+
"step": 26500
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.22,
|
| 348 |
+
"learning_rate": 9.716803544953275e-06,
|
| 349 |
+
"loss": 2.4175,
|
| 350 |
+
"step": 27000
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 0.23,
|
| 354 |
+
"learning_rate": 9.7084742374519e-06,
|
| 355 |
+
"loss": 2.4159,
|
| 356 |
+
"step": 27500
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 0.23,
|
| 360 |
+
"learning_rate": 9.700144929950525e-06,
|
| 361 |
+
"loss": 2.41,
|
| 362 |
+
"step": 28000
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.23,
|
| 366 |
+
"learning_rate": 9.69181562244915e-06,
|
| 367 |
+
"loss": 2.4157,
|
| 368 |
+
"step": 28500
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.24,
|
| 372 |
+
"learning_rate": 9.683486314947776e-06,
|
| 373 |
+
"loss": 2.4125,
|
| 374 |
+
"step": 29000
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.24,
|
| 378 |
+
"learning_rate": 9.675157007446401e-06,
|
| 379 |
+
"loss": 2.4142,
|
| 380 |
+
"step": 29500
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.25,
|
| 384 |
+
"learning_rate": 9.666827699945028e-06,
|
| 385 |
+
"loss": 2.4103,
|
| 386 |
+
"step": 30000
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 0.25,
|
| 390 |
+
"eval_accuracy": 0.5680406910642719,
|
| 391 |
+
"eval_loss": 2.353705883026123,
|
| 392 |
+
"eval_runtime": 1889.4384,
|
| 393 |
+
"eval_samples_per_second": 163.2,
|
| 394 |
+
"eval_steps_per_second": 3.4,
|
| 395 |
+
"step": 30000
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.25,
|
| 399 |
+
"learning_rate": 9.658498392443653e-06,
|
| 400 |
+
"loss": 2.404,
|
| 401 |
+
"step": 30500
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.25,
|
| 405 |
+
"learning_rate": 9.65016908494228e-06,
|
| 406 |
+
"loss": 2.4095,
|
| 407 |
+
"step": 31000
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 0.26,
|
| 411 |
+
"learning_rate": 9.641839777440905e-06,
|
| 412 |
+
"loss": 2.4095,
|
| 413 |
+
"step": 31500
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 0.26,
|
| 417 |
+
"learning_rate": 9.63351046993953e-06,
|
| 418 |
+
"loss": 2.4109,
|
| 419 |
+
"step": 32000
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.27,
|
| 423 |
+
"learning_rate": 9.625181162438155e-06,
|
| 424 |
+
"loss": 2.4055,
|
| 425 |
+
"step": 32500
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 0.27,
|
| 429 |
+
"learning_rate": 9.616851854936781e-06,
|
| 430 |
+
"loss": 2.4101,
|
| 431 |
+
"step": 33000
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.27,
|
| 435 |
+
"learning_rate": 9.608522547435406e-06,
|
| 436 |
+
"loss": 2.4073,
|
| 437 |
+
"step": 33500
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.28,
|
| 441 |
+
"learning_rate": 9.600193239934033e-06,
|
| 442 |
+
"loss": 2.4037,
|
| 443 |
+
"step": 34000
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.28,
|
| 447 |
+
"learning_rate": 9.591863932432658e-06,
|
| 448 |
+
"loss": 2.4054,
|
| 449 |
+
"step": 34500
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.29,
|
| 453 |
+
"learning_rate": 9.583534624931285e-06,
|
| 454 |
+
"loss": 2.4044,
|
| 455 |
+
"step": 35000
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 0.29,
|
| 459 |
+
"learning_rate": 9.57520531742991e-06,
|
| 460 |
+
"loss": 2.4103,
|
| 461 |
+
"step": 35500
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.29,
|
| 465 |
+
"learning_rate": 9.566876009928535e-06,
|
| 466 |
+
"loss": 2.4036,
|
| 467 |
+
"step": 36000
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 0.3,
|
| 471 |
+
"learning_rate": 9.55854670242716e-06,
|
| 472 |
+
"loss": 2.4054,
|
| 473 |
+
"step": 36500
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.3,
|
| 477 |
+
"learning_rate": 9.550217394925787e-06,
|
| 478 |
+
"loss": 2.4005,
|
| 479 |
+
"step": 37000
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.31,
|
| 483 |
+
"learning_rate": 9.541888087424413e-06,
|
| 484 |
+
"loss": 2.4017,
|
| 485 |
+
"step": 37500
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.31,
|
| 489 |
+
"learning_rate": 9.533558779923038e-06,
|
| 490 |
+
"loss": 2.3948,
|
| 491 |
+
"step": 38000
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 0.32,
|
| 495 |
+
"learning_rate": 9.525229472421663e-06,
|
| 496 |
+
"loss": 2.3888,
|
| 497 |
+
"step": 38500
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 0.32,
|
| 501 |
+
"learning_rate": 9.51690016492029e-06,
|
| 502 |
+
"loss": 2.3953,
|
| 503 |
+
"step": 39000
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 0.32,
|
| 507 |
+
"learning_rate": 9.508570857418915e-06,
|
| 508 |
+
"loss": 2.3939,
|
| 509 |
+
"step": 39500
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 0.33,
|
| 513 |
+
"learning_rate": 9.50024154991754e-06,
|
| 514 |
+
"loss": 2.4068,
|
| 515 |
+
"step": 40000
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.33,
|
| 519 |
+
"eval_accuracy": 0.5696406007169104,
|
| 520 |
+
"eval_loss": 2.3429617881774902,
|
| 521 |
+
"eval_runtime": 1888.2965,
|
| 522 |
+
"eval_samples_per_second": 163.299,
|
| 523 |
+
"eval_steps_per_second": 3.403,
|
| 524 |
+
"step": 40000
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 0.33,
|
| 528 |
+
"learning_rate": 9.491912242416167e-06,
|
| 529 |
+
"loss": 2.3953,
|
| 530 |
+
"step": 40500
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 0.34,
|
| 534 |
+
"learning_rate": 9.483582934914792e-06,
|
| 535 |
+
"loss": 2.3931,
|
| 536 |
+
"step": 41000
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.34,
|
| 540 |
+
"learning_rate": 9.475253627413418e-06,
|
| 541 |
+
"loss": 2.3936,
|
| 542 |
+
"step": 41500
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.34,
|
| 546 |
+
"learning_rate": 9.466924319912043e-06,
|
| 547 |
+
"loss": 2.3972,
|
| 548 |
+
"step": 42000
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.35,
|
| 552 |
+
"learning_rate": 9.458595012410668e-06,
|
| 553 |
+
"loss": 2.3896,
|
| 554 |
+
"step": 42500
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 0.35,
|
| 558 |
+
"learning_rate": 9.450265704909295e-06,
|
| 559 |
+
"loss": 2.3909,
|
| 560 |
+
"step": 43000
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 0.36,
|
| 564 |
+
"learning_rate": 9.44193639740792e-06,
|
| 565 |
+
"loss": 2.3827,
|
| 566 |
+
"step": 43500
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 0.36,
|
| 570 |
+
"learning_rate": 9.433607089906545e-06,
|
| 571 |
+
"loss": 2.39,
|
| 572 |
+
"step": 44000
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 0.36,
|
| 576 |
+
"learning_rate": 9.425277782405172e-06,
|
| 577 |
+
"loss": 2.3878,
|
| 578 |
+
"step": 44500
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.37,
|
| 582 |
+
"learning_rate": 9.416948474903798e-06,
|
| 583 |
+
"loss": 2.3894,
|
| 584 |
+
"step": 45000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.37,
|
| 588 |
+
"learning_rate": 9.408619167402423e-06,
|
| 589 |
+
"loss": 2.3928,
|
| 590 |
+
"step": 45500
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.38,
|
| 594 |
+
"learning_rate": 9.400289859901048e-06,
|
| 595 |
+
"loss": 2.3804,
|
| 596 |
+
"step": 46000
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 0.38,
|
| 600 |
+
"learning_rate": 9.391960552399673e-06,
|
| 601 |
+
"loss": 2.3819,
|
| 602 |
+
"step": 46500
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 0.39,
|
| 606 |
+
"learning_rate": 9.3836312448983e-06,
|
| 607 |
+
"loss": 2.3814,
|
| 608 |
+
"step": 47000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 0.39,
|
| 612 |
+
"learning_rate": 9.375301937396925e-06,
|
| 613 |
+
"loss": 2.3826,
|
| 614 |
+
"step": 47500
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 0.39,
|
| 618 |
+
"learning_rate": 9.366972629895552e-06,
|
| 619 |
+
"loss": 2.381,
|
| 620 |
+
"step": 48000
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.4,
|
| 624 |
+
"learning_rate": 9.358643322394177e-06,
|
| 625 |
+
"loss": 2.3846,
|
| 626 |
+
"step": 48500
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.4,
|
| 630 |
+
"learning_rate": 9.350314014892804e-06,
|
| 631 |
+
"loss": 2.3789,
|
| 632 |
+
"step": 49000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.41,
|
| 636 |
+
"learning_rate": 9.341984707391429e-06,
|
| 637 |
+
"loss": 2.3813,
|
| 638 |
+
"step": 49500
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 0.41,
|
| 642 |
+
"learning_rate": 9.333655399890054e-06,
|
| 643 |
+
"loss": 2.3823,
|
| 644 |
+
"step": 50000
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 0.41,
|
| 648 |
+
"eval_accuracy": 0.5718559029214005,
|
| 649 |
+
"eval_loss": 2.3248536586761475,
|
| 650 |
+
"eval_runtime": 1901.4727,
|
| 651 |
+
"eval_samples_per_second": 162.167,
|
| 652 |
+
"eval_steps_per_second": 3.379,
|
| 653 |
+
"step": 50000
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.41,
|
| 657 |
+
"learning_rate": 9.325326092388679e-06,
|
| 658 |
+
"loss": 2.3785,
|
| 659 |
+
"step": 50500
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 0.42,
|
| 663 |
+
"learning_rate": 9.316996784887305e-06,
|
| 664 |
+
"loss": 2.3815,
|
| 665 |
+
"step": 51000
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 0.42,
|
| 669 |
+
"learning_rate": 9.30866747738593e-06,
|
| 670 |
+
"loss": 2.3797,
|
| 671 |
+
"step": 51500
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 0.43,
|
| 675 |
+
"learning_rate": 9.300338169884557e-06,
|
| 676 |
+
"loss": 2.3823,
|
| 677 |
+
"step": 52000
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 0.43,
|
| 681 |
+
"learning_rate": 9.292008862383182e-06,
|
| 682 |
+
"loss": 2.3773,
|
| 683 |
+
"step": 52500
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.43,
|
| 687 |
+
"learning_rate": 9.283679554881809e-06,
|
| 688 |
+
"loss": 2.3758,
|
| 689 |
+
"step": 53000
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.44,
|
| 693 |
+
"learning_rate": 9.275350247380434e-06,
|
| 694 |
+
"loss": 2.3766,
|
| 695 |
+
"step": 53500
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.44,
|
| 699 |
+
"learning_rate": 9.267020939879059e-06,
|
| 700 |
+
"loss": 2.3712,
|
| 701 |
+
"step": 54000
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 0.45,
|
| 705 |
+
"learning_rate": 9.258691632377685e-06,
|
| 706 |
+
"loss": 2.3737,
|
| 707 |
+
"step": 54500
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 0.45,
|
| 711 |
+
"learning_rate": 9.25036232487631e-06,
|
| 712 |
+
"loss": 2.3714,
|
| 713 |
+
"step": 55000
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 0.45,
|
| 717 |
+
"learning_rate": 9.242033017374937e-06,
|
| 718 |
+
"loss": 2.3737,
|
| 719 |
+
"step": 55500
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 0.46,
|
| 723 |
+
"learning_rate": 9.233703709873562e-06,
|
| 724 |
+
"loss": 2.3686,
|
| 725 |
+
"step": 56000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.46,
|
| 729 |
+
"learning_rate": 9.225374402372189e-06,
|
| 730 |
+
"loss": 2.3706,
|
| 731 |
+
"step": 56500
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.47,
|
| 735 |
+
"learning_rate": 9.217045094870814e-06,
|
| 736 |
+
"loss": 2.364,
|
| 737 |
+
"step": 57000
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.47,
|
| 741 |
+
"learning_rate": 9.208715787369439e-06,
|
| 742 |
+
"loss": 2.3707,
|
| 743 |
+
"step": 57500
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 0.48,
|
| 747 |
+
"learning_rate": 9.200386479868064e-06,
|
| 748 |
+
"loss": 2.3669,
|
| 749 |
+
"step": 58000
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 0.48,
|
| 753 |
+
"learning_rate": 9.19205717236669e-06,
|
| 754 |
+
"loss": 2.3636,
|
| 755 |
+
"step": 58500
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 0.48,
|
| 759 |
+
"learning_rate": 9.183727864865315e-06,
|
| 760 |
+
"loss": 2.3722,
|
| 761 |
+
"step": 59000
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.49,
|
| 765 |
+
"learning_rate": 9.175398557363942e-06,
|
| 766 |
+
"loss": 2.3718,
|
| 767 |
+
"step": 59500
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 0.49,
|
| 771 |
+
"learning_rate": 9.167069249862567e-06,
|
| 772 |
+
"loss": 2.3729,
|
| 773 |
+
"step": 60000
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.49,
|
| 777 |
+
"eval_accuracy": 0.5732608497518056,
|
| 778 |
+
"eval_loss": 2.314063549041748,
|
| 779 |
+
"eval_runtime": 1886.4966,
|
| 780 |
+
"eval_samples_per_second": 163.454,
|
| 781 |
+
"eval_steps_per_second": 3.406,
|
| 782 |
+
"step": 60000
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.5,
|
| 786 |
+
"learning_rate": 9.158739942361194e-06,
|
| 787 |
+
"loss": 2.3651,
|
| 788 |
+
"step": 60500
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.5,
|
| 792 |
+
"learning_rate": 9.150410634859819e-06,
|
| 793 |
+
"loss": 2.3607,
|
| 794 |
+
"step": 61000
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.5,
|
| 798 |
+
"learning_rate": 9.142081327358444e-06,
|
| 799 |
+
"loss": 2.3685,
|
| 800 |
+
"step": 61500
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.51,
|
| 804 |
+
"learning_rate": 9.133752019857069e-06,
|
| 805 |
+
"loss": 2.3583,
|
| 806 |
+
"step": 62000
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 0.51,
|
| 810 |
+
"learning_rate": 9.125422712355696e-06,
|
| 811 |
+
"loss": 2.3659,
|
| 812 |
+
"step": 62500
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 0.52,
|
| 816 |
+
"learning_rate": 9.11709340485432e-06,
|
| 817 |
+
"loss": 2.366,
|
| 818 |
+
"step": 63000
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 0.52,
|
| 822 |
+
"learning_rate": 9.108764097352947e-06,
|
| 823 |
+
"loss": 2.3559,
|
| 824 |
+
"step": 63500
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.52,
|
| 828 |
+
"learning_rate": 9.100434789851572e-06,
|
| 829 |
+
"loss": 2.3576,
|
| 830 |
+
"step": 64000
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.53,
|
| 834 |
+
"learning_rate": 9.092105482350199e-06,
|
| 835 |
+
"loss": 2.3592,
|
| 836 |
+
"step": 64500
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.53,
|
| 840 |
+
"learning_rate": 9.083776174848824e-06,
|
| 841 |
+
"loss": 2.3564,
|
| 842 |
+
"step": 65000
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.54,
|
| 846 |
+
"learning_rate": 9.075446867347449e-06,
|
| 847 |
+
"loss": 2.3668,
|
| 848 |
+
"step": 65500
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 0.54,
|
| 852 |
+
"learning_rate": 9.067117559846076e-06,
|
| 853 |
+
"loss": 2.3609,
|
| 854 |
+
"step": 66000
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 0.54,
|
| 858 |
+
"learning_rate": 9.0587882523447e-06,
|
| 859 |
+
"loss": 2.3578,
|
| 860 |
+
"step": 66500
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 0.55,
|
| 864 |
+
"learning_rate": 9.050458944843327e-06,
|
| 865 |
+
"loss": 2.3497,
|
| 866 |
+
"step": 67000
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.55,
|
| 870 |
+
"learning_rate": 9.042129637341952e-06,
|
| 871 |
+
"loss": 2.3556,
|
| 872 |
+
"step": 67500
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.56,
|
| 876 |
+
"learning_rate": 9.033800329840577e-06,
|
| 877 |
+
"loss": 2.3559,
|
| 878 |
+
"step": 68000
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.56,
|
| 882 |
+
"learning_rate": 9.025471022339204e-06,
|
| 883 |
+
"loss": 2.3615,
|
| 884 |
+
"step": 68500
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.57,
|
| 888 |
+
"learning_rate": 9.017141714837829e-06,
|
| 889 |
+
"loss": 2.3548,
|
| 890 |
+
"step": 69000
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 0.57,
|
| 894 |
+
"learning_rate": 9.008812407336454e-06,
|
| 895 |
+
"loss": 2.358,
|
| 896 |
+
"step": 69500
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 0.57,
|
| 900 |
+
"learning_rate": 9.00048309983508e-06,
|
| 901 |
+
"loss": 2.3516,
|
| 902 |
+
"step": 70000
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 0.57,
|
| 906 |
+
"eval_accuracy": 0.5751267112637455,
|
| 907 |
+
"eval_loss": 2.2986373901367188,
|
| 908 |
+
"eval_runtime": 1879.9393,
|
| 909 |
+
"eval_samples_per_second": 164.024,
|
| 910 |
+
"eval_steps_per_second": 3.418,
|
| 911 |
+
"step": 70000
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 0.58,
|
| 915 |
+
"learning_rate": 8.992153792333706e-06,
|
| 916 |
+
"loss": 2.3482,
|
| 917 |
+
"step": 70500
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 0.58,
|
| 921 |
+
"learning_rate": 8.983824484832332e-06,
|
| 922 |
+
"loss": 2.3494,
|
| 923 |
+
"step": 71000
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 0.59,
|
| 927 |
+
"learning_rate": 8.975495177330957e-06,
|
| 928 |
+
"loss": 2.3546,
|
| 929 |
+
"step": 71500
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.59,
|
| 933 |
+
"learning_rate": 8.967165869829582e-06,
|
| 934 |
+
"loss": 2.3475,
|
| 935 |
+
"step": 72000
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 0.59,
|
| 939 |
+
"learning_rate": 8.958836562328209e-06,
|
| 940 |
+
"loss": 2.3514,
|
| 941 |
+
"step": 72500
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.6,
|
| 945 |
+
"learning_rate": 8.950507254826834e-06,
|
| 946 |
+
"loss": 2.3452,
|
| 947 |
+
"step": 73000
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.6,
|
| 951 |
+
"learning_rate": 8.942177947325459e-06,
|
| 952 |
+
"loss": 2.3511,
|
| 953 |
+
"step": 73500
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 0.61,
|
| 957 |
+
"learning_rate": 8.933848639824086e-06,
|
| 958 |
+
"loss": 2.349,
|
| 959 |
+
"step": 74000
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 0.61,
|
| 963 |
+
"learning_rate": 8.925519332322713e-06,
|
| 964 |
+
"loss": 2.3471,
|
| 965 |
+
"step": 74500
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 0.61,
|
| 969 |
+
"learning_rate": 8.917190024821338e-06,
|
| 970 |
+
"loss": 2.3513,
|
| 971 |
+
"step": 75000
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.62,
|
| 975 |
+
"learning_rate": 8.908860717319963e-06,
|
| 976 |
+
"loss": 2.3449,
|
| 977 |
+
"step": 75500
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.62,
|
| 981 |
+
"learning_rate": 8.900531409818588e-06,
|
| 982 |
+
"loss": 2.3421,
|
| 983 |
+
"step": 76000
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.63,
|
| 987 |
+
"learning_rate": 8.892202102317214e-06,
|
| 988 |
+
"loss": 2.3417,
|
| 989 |
+
"step": 76500
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.63,
|
| 993 |
+
"learning_rate": 8.88387279481584e-06,
|
| 994 |
+
"loss": 2.3402,
|
| 995 |
+
"step": 77000
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 0.63,
|
| 999 |
+
"learning_rate": 8.875543487314466e-06,
|
| 1000 |
+
"loss": 2.3407,
|
| 1001 |
+
"step": 77500
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 0.64,
|
| 1005 |
+
"learning_rate": 8.867214179813091e-06,
|
| 1006 |
+
"loss": 2.3362,
|
| 1007 |
+
"step": 78000
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 0.64,
|
| 1011 |
+
"learning_rate": 8.858884872311718e-06,
|
| 1012 |
+
"loss": 2.3428,
|
| 1013 |
+
"step": 78500
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.65,
|
| 1017 |
+
"learning_rate": 8.850555564810343e-06,
|
| 1018 |
+
"loss": 2.3359,
|
| 1019 |
+
"step": 79000
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.65,
|
| 1023 |
+
"learning_rate": 8.842226257308968e-06,
|
| 1024 |
+
"loss": 2.3455,
|
| 1025 |
+
"step": 79500
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.66,
|
| 1029 |
+
"learning_rate": 8.833896949807593e-06,
|
| 1030 |
+
"loss": 2.342,
|
| 1031 |
+
"step": 80000
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.66,
|
| 1035 |
+
"eval_accuracy": 0.5763929795108652,
|
| 1036 |
+
"eval_loss": 2.287837266921997,
|
| 1037 |
+
"eval_runtime": 1881.1252,
|
| 1038 |
+
"eval_samples_per_second": 163.921,
|
| 1039 |
+
"eval_steps_per_second": 3.416,
|
| 1040 |
+
"step": 80000
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.66,
|
| 1044 |
+
"learning_rate": 8.82556764230622e-06,
|
| 1045 |
+
"loss": 2.3395,
|
| 1046 |
+
"step": 80500
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.66,
|
| 1050 |
+
"learning_rate": 8.817238334804844e-06,
|
| 1051 |
+
"loss": 2.3416,
|
| 1052 |
+
"step": 81000
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.67,
|
| 1056 |
+
"learning_rate": 8.808909027303471e-06,
|
| 1057 |
+
"loss": 2.3374,
|
| 1058 |
+
"step": 81500
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 0.67,
|
| 1062 |
+
"learning_rate": 8.800579719802096e-06,
|
| 1063 |
+
"loss": 2.3336,
|
| 1064 |
+
"step": 82000
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 0.68,
|
| 1068 |
+
"learning_rate": 8.792250412300723e-06,
|
| 1069 |
+
"loss": 2.3265,
|
| 1070 |
+
"step": 82500
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 0.68,
|
| 1074 |
+
"learning_rate": 8.783921104799348e-06,
|
| 1075 |
+
"loss": 2.3378,
|
| 1076 |
+
"step": 83000
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 0.68,
|
| 1080 |
+
"learning_rate": 8.775591797297973e-06,
|
| 1081 |
+
"loss": 2.337,
|
| 1082 |
+
"step": 83500
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 0.69,
|
| 1086 |
+
"learning_rate": 8.767262489796598e-06,
|
| 1087 |
+
"loss": 2.3341,
|
| 1088 |
+
"step": 84000
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.69,
|
| 1092 |
+
"learning_rate": 8.758933182295224e-06,
|
| 1093 |
+
"loss": 2.3307,
|
| 1094 |
+
"step": 84500
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.7,
|
| 1098 |
+
"learning_rate": 8.750603874793851e-06,
|
| 1099 |
+
"loss": 2.331,
|
| 1100 |
+
"step": 85000
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 0.7,
|
| 1104 |
+
"learning_rate": 8.742274567292476e-06,
|
| 1105 |
+
"loss": 2.3355,
|
| 1106 |
+
"step": 85500
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 0.7,
|
| 1110 |
+
"learning_rate": 8.733945259791101e-06,
|
| 1111 |
+
"loss": 2.3284,
|
| 1112 |
+
"step": 86000
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 0.71,
|
| 1116 |
+
"learning_rate": 8.725615952289728e-06,
|
| 1117 |
+
"loss": 2.3304,
|
| 1118 |
+
"step": 86500
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 0.71,
|
| 1122 |
+
"learning_rate": 8.717286644788353e-06,
|
| 1123 |
+
"loss": 2.3335,
|
| 1124 |
+
"step": 87000
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 0.72,
|
| 1128 |
+
"learning_rate": 8.708957337286978e-06,
|
| 1129 |
+
"loss": 2.3298,
|
| 1130 |
+
"step": 87500
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.72,
|
| 1134 |
+
"learning_rate": 8.700628029785605e-06,
|
| 1135 |
+
"loss": 2.3258,
|
| 1136 |
+
"step": 88000
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.73,
|
| 1140 |
+
"learning_rate": 8.69229872228423e-06,
|
| 1141 |
+
"loss": 2.3312,
|
| 1142 |
+
"step": 88500
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 0.73,
|
| 1146 |
+
"learning_rate": 8.683969414782856e-06,
|
| 1147 |
+
"loss": 2.3273,
|
| 1148 |
+
"step": 89000
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 0.73,
|
| 1152 |
+
"learning_rate": 8.675640107281481e-06,
|
| 1153 |
+
"loss": 2.3228,
|
| 1154 |
+
"step": 89500
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 0.74,
|
| 1158 |
+
"learning_rate": 8.667310799780106e-06,
|
| 1159 |
+
"loss": 2.3265,
|
| 1160 |
+
"step": 90000
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.74,
|
| 1164 |
+
"eval_accuracy": 0.5782202967194991,
|
| 1165 |
+
"eval_loss": 2.2734427452087402,
|
| 1166 |
+
"eval_runtime": 1878.8142,
|
| 1167 |
+
"eval_samples_per_second": 164.123,
|
| 1168 |
+
"eval_steps_per_second": 3.42,
|
| 1169 |
+
"step": 90000
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 0.74,
|
| 1173 |
+
"learning_rate": 8.658981492278733e-06,
|
| 1174 |
+
"loss": 2.3211,
|
| 1175 |
+
"step": 90500
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 0.75,
|
| 1179 |
+
"learning_rate": 8.650652184777358e-06,
|
| 1180 |
+
"loss": 2.3245,
|
| 1181 |
+
"step": 91000
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.75,
|
| 1185 |
+
"learning_rate": 8.642322877275983e-06,
|
| 1186 |
+
"loss": 2.3294,
|
| 1187 |
+
"step": 91500
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 0.75,
|
| 1191 |
+
"learning_rate": 8.63399356977461e-06,
|
| 1192 |
+
"loss": 2.3317,
|
| 1193 |
+
"step": 92000
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.76,
|
| 1197 |
+
"learning_rate": 8.625664262273236e-06,
|
| 1198 |
+
"loss": 2.3273,
|
| 1199 |
+
"step": 92500
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.76,
|
| 1203 |
+
"learning_rate": 8.617334954771861e-06,
|
| 1204 |
+
"loss": 2.3451,
|
| 1205 |
+
"step": 93000
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 0.77,
|
| 1209 |
+
"learning_rate": 8.609005647270486e-06,
|
| 1210 |
+
"loss": 2.3355,
|
| 1211 |
+
"step": 93500
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 0.77,
|
| 1215 |
+
"learning_rate": 8.600676339769111e-06,
|
| 1216 |
+
"loss": 2.3318,
|
| 1217 |
+
"step": 94000
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 0.77,
|
| 1221 |
+
"learning_rate": 8.592347032267738e-06,
|
| 1222 |
+
"loss": 2.3263,
|
| 1223 |
+
"step": 94500
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 0.78,
|
| 1227 |
+
"learning_rate": 8.584017724766363e-06,
|
| 1228 |
+
"loss": 2.319,
|
| 1229 |
+
"step": 95000
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 0.78,
|
| 1233 |
+
"learning_rate": 8.57568841726499e-06,
|
| 1234 |
+
"loss": 2.3219,
|
| 1235 |
+
"step": 95500
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.79,
|
| 1239 |
+
"learning_rate": 8.567359109763615e-06,
|
| 1240 |
+
"loss": 2.3192,
|
| 1241 |
+
"step": 96000
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.79,
|
| 1245 |
+
"learning_rate": 8.559029802262241e-06,
|
| 1246 |
+
"loss": 2.3167,
|
| 1247 |
+
"step": 96500
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 0.79,
|
| 1251 |
+
"learning_rate": 8.550700494760866e-06,
|
| 1252 |
+
"loss": 2.3177,
|
| 1253 |
+
"step": 97000
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 0.8,
|
| 1257 |
+
"learning_rate": 8.542371187259491e-06,
|
| 1258 |
+
"loss": 2.3187,
|
| 1259 |
+
"step": 97500
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 0.8,
|
| 1263 |
+
"learning_rate": 8.534041879758118e-06,
|
| 1264 |
+
"loss": 2.319,
|
| 1265 |
+
"step": 98000
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.81,
|
| 1269 |
+
"learning_rate": 8.525712572256743e-06,
|
| 1270 |
+
"loss": 2.3227,
|
| 1271 |
+
"step": 98500
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 0.81,
|
| 1275 |
+
"learning_rate": 8.517383264755368e-06,
|
| 1276 |
+
"loss": 2.3193,
|
| 1277 |
+
"step": 99000
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.82,
|
| 1281 |
+
"learning_rate": 8.509053957253995e-06,
|
| 1282 |
+
"loss": 2.3139,
|
| 1283 |
+
"step": 99500
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.82,
|
| 1287 |
+
"learning_rate": 8.500724649752622e-06,
|
| 1288 |
+
"loss": 2.3158,
|
| 1289 |
+
"step": 100000
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 0.82,
|
| 1293 |
+
"eval_accuracy": 0.5795734098420514,
|
| 1294 |
+
"eval_loss": 2.2642505168914795,
|
| 1295 |
+
"eval_runtime": 1878.2718,
|
| 1296 |
+
"eval_samples_per_second": 164.17,
|
| 1297 |
+
"eval_steps_per_second": 3.421,
|
| 1298 |
+
"step": 100000
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.82,
|
| 1302 |
+
"learning_rate": 8.492395342251247e-06,
|
| 1303 |
+
"loss": 2.3384,
|
| 1304 |
+
"step": 100500
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.83,
|
| 1308 |
+
"learning_rate": 8.484066034749872e-06,
|
| 1309 |
+
"loss": 2.3293,
|
| 1310 |
+
"step": 101000
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 0.83,
|
| 1314 |
+
"learning_rate": 8.475736727248497e-06,
|
| 1315 |
+
"loss": 2.3386,
|
| 1316 |
+
"step": 101500
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 0.84,
|
| 1320 |
+
"learning_rate": 8.467407419747123e-06,
|
| 1321 |
+
"loss": 2.3319,
|
| 1322 |
+
"step": 102000
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 0.84,
|
| 1326 |
+
"learning_rate": 8.459078112245748e-06,
|
| 1327 |
+
"loss": 2.3322,
|
| 1328 |
+
"step": 102500
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 0.84,
|
| 1332 |
+
"step": 102544,
|
| 1333 |
+
"total_flos": 1.4583593352424325e+18,
|
| 1334 |
+
"train_loss": 2.3798838982364097,
|
| 1335 |
+
"train_runtime": 107983.5978,
|
| 1336 |
+
"train_samples_per_second": 271.28,
|
| 1337 |
+
"train_steps_per_second": 5.652
|
| 1338 |
+
}
|
| 1339 |
+
],
|
| 1340 |
+
"max_steps": 610290,
|
| 1341 |
+
"num_train_epochs": 5,
|
| 1342 |
+
"total_flos": 1.4583593352424325e+18,
|
| 1343 |
+
"trial_name": null,
|
| 1344 |
+
"trial_params": null
|
| 1345 |
+
}
|