jonatasgrosman
commited on
Commit
·
5f73e5b
1
Parent(s):
8d717e5
End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.56,
|
3 |
+
"eval_cer": 1.0571606245483118,
|
4 |
+
"eval_loss": 0.13207247853279114,
|
5 |
+
"eval_runtime": 939.5389,
|
6 |
+
"eval_samples_per_second": 1.064,
|
7 |
+
"eval_steps_per_second": 0.133,
|
8 |
+
"eval_wer": 3.6508096148043854,
|
9 |
+
"train_loss": 0.1500811086446047,
|
10 |
+
"train_runtime": 62196.6088,
|
11 |
+
"train_samples_per_second": 10.29,
|
12 |
+
"train_steps_per_second": 0.322
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.56,
|
3 |
+
"eval_cer": 1.0571606245483118,
|
4 |
+
"eval_loss": 0.13207247853279114,
|
5 |
+
"eval_runtime": 939.5389,
|
6 |
+
"eval_samples_per_second": 1.064,
|
7 |
+
"eval_steps_per_second": 0.133,
|
8 |
+
"eval_wer": 3.6508096148043854
|
9 |
+
}
|
runs/Dec21_20-41-09_129-146-177-31/events.out.tfevents.1671718880.129-146-177-31.1981645.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7232161df56912998f012f412c21873683a0890428dea8a05b053e53ce5d6f98
|
3 |
+
size 405
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.56,
|
3 |
+
"train_loss": 0.1500811086446047,
|
4 |
+
"train_runtime": 62196.6088,
|
5 |
+
"train_samples_per_second": 10.29,
|
6 |
+
"train_steps_per_second": 0.322
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2025 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 3.6508096148043854,
|
3 |
+
"best_model_checkpoint": "data/model/whisper-large-es-cv11-2/checkpoint-5000",
|
4 |
+
"epoch": 2.56,
|
5 |
+
"global_step": 8000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 1.1499999999999999e-08,
|
13 |
+
"loss": 0.8552,
|
14 |
+
"step": 25
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.02,
|
18 |
+
"learning_rate": 2.35e-08,
|
19 |
+
"loss": 0.8366,
|
20 |
+
"step": 50
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 3.6e-08,
|
25 |
+
"loss": 0.8538,
|
26 |
+
"step": 75
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.03,
|
30 |
+
"learning_rate": 4.85e-08,
|
31 |
+
"loss": 0.842,
|
32 |
+
"step": 100
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.04,
|
36 |
+
"learning_rate": 6.049999999999999e-08,
|
37 |
+
"loss": 0.8284,
|
38 |
+
"step": 125
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.05,
|
42 |
+
"learning_rate": 7.299999999999999e-08,
|
43 |
+
"loss": 0.8163,
|
44 |
+
"step": 150
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06,
|
48 |
+
"learning_rate": 8.55e-08,
|
49 |
+
"loss": 0.7738,
|
50 |
+
"step": 175
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.06,
|
54 |
+
"learning_rate": 9.8e-08,
|
55 |
+
"loss": 0.7009,
|
56 |
+
"step": 200
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.07,
|
60 |
+
"learning_rate": 1.0999999999999999e-07,
|
61 |
+
"loss": 0.5658,
|
62 |
+
"step": 225
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.08,
|
66 |
+
"learning_rate": 1.225e-07,
|
67 |
+
"loss": 0.4291,
|
68 |
+
"step": 250
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.09,
|
72 |
+
"learning_rate": 1.35e-07,
|
73 |
+
"loss": 0.3306,
|
74 |
+
"step": 275
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.1,
|
78 |
+
"learning_rate": 1.475e-07,
|
79 |
+
"loss": 0.3119,
|
80 |
+
"step": 300
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.1,
|
84 |
+
"learning_rate": 1.6e-07,
|
85 |
+
"loss": 0.3076,
|
86 |
+
"step": 325
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.11,
|
90 |
+
"learning_rate": 1.725e-07,
|
91 |
+
"loss": 0.301,
|
92 |
+
"step": 350
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.12,
|
96 |
+
"learning_rate": 1.85e-07,
|
97 |
+
"loss": 0.2942,
|
98 |
+
"step": 375
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.13,
|
102 |
+
"learning_rate": 1.975e-07,
|
103 |
+
"loss": 0.279,
|
104 |
+
"step": 400
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.14,
|
108 |
+
"learning_rate": 2.0999999999999997e-07,
|
109 |
+
"loss": 0.2694,
|
110 |
+
"step": 425
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.14,
|
114 |
+
"learning_rate": 2.225e-07,
|
115 |
+
"loss": 0.2416,
|
116 |
+
"step": 450
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.15,
|
120 |
+
"learning_rate": 2.3499999999999997e-07,
|
121 |
+
"loss": 0.2491,
|
122 |
+
"step": 475
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.16,
|
126 |
+
"learning_rate": 2.475e-07,
|
127 |
+
"loss": 0.2518,
|
128 |
+
"step": 500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.17,
|
132 |
+
"learning_rate": 2.6e-07,
|
133 |
+
"loss": 0.2497,
|
134 |
+
"step": 525
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.18,
|
138 |
+
"learning_rate": 2.725e-07,
|
139 |
+
"loss": 0.2362,
|
140 |
+
"step": 550
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.18,
|
144 |
+
"learning_rate": 2.8499999999999997e-07,
|
145 |
+
"loss": 0.24,
|
146 |
+
"step": 575
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.19,
|
150 |
+
"learning_rate": 2.9749999999999996e-07,
|
151 |
+
"loss": 0.2215,
|
152 |
+
"step": 600
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.2,
|
156 |
+
"learning_rate": 3.1e-07,
|
157 |
+
"loss": 0.2104,
|
158 |
+
"step": 625
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.21,
|
162 |
+
"learning_rate": 3.225e-07,
|
163 |
+
"loss": 0.2115,
|
164 |
+
"step": 650
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.22,
|
168 |
+
"learning_rate": 3.35e-07,
|
169 |
+
"loss": 0.2064,
|
170 |
+
"step": 675
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.22,
|
174 |
+
"learning_rate": 3.4749999999999996e-07,
|
175 |
+
"loss": 0.2026,
|
176 |
+
"step": 700
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.23,
|
180 |
+
"learning_rate": 3.6e-07,
|
181 |
+
"loss": 0.2048,
|
182 |
+
"step": 725
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.24,
|
186 |
+
"learning_rate": 3.725e-07,
|
187 |
+
"loss": 0.1946,
|
188 |
+
"step": 750
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.25,
|
192 |
+
"learning_rate": 3.8499999999999997e-07,
|
193 |
+
"loss": 0.1872,
|
194 |
+
"step": 775
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.26,
|
198 |
+
"learning_rate": 3.975e-07,
|
199 |
+
"loss": 0.1851,
|
200 |
+
"step": 800
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.26,
|
204 |
+
"learning_rate": 4.0999999999999994e-07,
|
205 |
+
"loss": 0.1714,
|
206 |
+
"step": 825
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.27,
|
210 |
+
"learning_rate": 4.225e-07,
|
211 |
+
"loss": 0.1869,
|
212 |
+
"step": 850
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.28,
|
216 |
+
"learning_rate": 4.3499999999999996e-07,
|
217 |
+
"loss": 0.1847,
|
218 |
+
"step": 875
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.29,
|
222 |
+
"learning_rate": 4.475e-07,
|
223 |
+
"loss": 0.1931,
|
224 |
+
"step": 900
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.3,
|
228 |
+
"learning_rate": 4.6e-07,
|
229 |
+
"loss": 0.1776,
|
230 |
+
"step": 925
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.3,
|
234 |
+
"learning_rate": 4.725e-07,
|
235 |
+
"loss": 0.1803,
|
236 |
+
"step": 950
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.31,
|
240 |
+
"learning_rate": 4.85e-07,
|
241 |
+
"loss": 0.1721,
|
242 |
+
"step": 975
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.32,
|
246 |
+
"learning_rate": 4.975e-07,
|
247 |
+
"loss": 0.1837,
|
248 |
+
"step": 1000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.32,
|
252 |
+
"eval_cer": 1.2487604833694683,
|
253 |
+
"eval_loss": 0.16694751381874084,
|
254 |
+
"eval_runtime": 939.4915,
|
255 |
+
"eval_samples_per_second": 1.064,
|
256 |
+
"eval_steps_per_second": 0.133,
|
257 |
+
"eval_wer": 4.244191893794629,
|
258 |
+
"step": 1000
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 0.33,
|
262 |
+
"learning_rate": 5.1e-07,
|
263 |
+
"loss": 0.1685,
|
264 |
+
"step": 1025
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.34,
|
268 |
+
"learning_rate": 5.225e-07,
|
269 |
+
"loss": 0.1667,
|
270 |
+
"step": 1050
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.34,
|
274 |
+
"learning_rate": 5.35e-07,
|
275 |
+
"loss": 0.1731,
|
276 |
+
"step": 1075
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.35,
|
280 |
+
"learning_rate": 5.474999999999999e-07,
|
281 |
+
"loss": 0.1667,
|
282 |
+
"step": 1100
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.36,
|
286 |
+
"learning_rate": 5.6e-07,
|
287 |
+
"loss": 0.1684,
|
288 |
+
"step": 1125
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.37,
|
292 |
+
"learning_rate": 5.725e-07,
|
293 |
+
"loss": 0.1713,
|
294 |
+
"step": 1150
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.38,
|
298 |
+
"learning_rate": 5.849999999999999e-07,
|
299 |
+
"loss": 0.1625,
|
300 |
+
"step": 1175
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.38,
|
304 |
+
"learning_rate": 5.975e-07,
|
305 |
+
"loss": 0.1578,
|
306 |
+
"step": 1200
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.39,
|
310 |
+
"learning_rate": 6.1e-07,
|
311 |
+
"loss": 0.1621,
|
312 |
+
"step": 1225
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 0.4,
|
316 |
+
"learning_rate": 6.225000000000001e-07,
|
317 |
+
"loss": 0.1652,
|
318 |
+
"step": 1250
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.41,
|
322 |
+
"learning_rate": 6.35e-07,
|
323 |
+
"loss": 0.159,
|
324 |
+
"step": 1275
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.42,
|
328 |
+
"learning_rate": 6.474999999999999e-07,
|
329 |
+
"loss": 0.1722,
|
330 |
+
"step": 1300
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.42,
|
334 |
+
"learning_rate": 6.6e-07,
|
335 |
+
"loss": 0.16,
|
336 |
+
"step": 1325
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.43,
|
340 |
+
"learning_rate": 6.724999999999999e-07,
|
341 |
+
"loss": 0.1582,
|
342 |
+
"step": 1350
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 0.44,
|
346 |
+
"learning_rate": 6.85e-07,
|
347 |
+
"loss": 0.1636,
|
348 |
+
"step": 1375
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 0.45,
|
352 |
+
"learning_rate": 6.975e-07,
|
353 |
+
"loss": 0.1555,
|
354 |
+
"step": 1400
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.46,
|
358 |
+
"learning_rate": 7.1e-07,
|
359 |
+
"loss": 0.1576,
|
360 |
+
"step": 1425
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.46,
|
364 |
+
"learning_rate": 7.225e-07,
|
365 |
+
"loss": 0.1605,
|
366 |
+
"step": 1450
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.47,
|
370 |
+
"learning_rate": 7.345e-07,
|
371 |
+
"loss": 0.1614,
|
372 |
+
"step": 1475
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 0.48,
|
376 |
+
"learning_rate": 7.47e-07,
|
377 |
+
"loss": 0.1412,
|
378 |
+
"step": 1500
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 0.49,
|
382 |
+
"learning_rate": 7.594999999999999e-07,
|
383 |
+
"loss": 0.1451,
|
384 |
+
"step": 1525
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.5,
|
388 |
+
"learning_rate": 7.72e-07,
|
389 |
+
"loss": 0.1549,
|
390 |
+
"step": 1550
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.5,
|
394 |
+
"learning_rate": 7.845e-07,
|
395 |
+
"loss": 0.1528,
|
396 |
+
"step": 1575
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.51,
|
400 |
+
"learning_rate": 7.970000000000001e-07,
|
401 |
+
"loss": 0.1535,
|
402 |
+
"step": 1600
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.52,
|
406 |
+
"learning_rate": 8.094999999999999e-07,
|
407 |
+
"loss": 0.1578,
|
408 |
+
"step": 1625
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.53,
|
412 |
+
"learning_rate": 8.219999999999999e-07,
|
413 |
+
"loss": 0.1526,
|
414 |
+
"step": 1650
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.54,
|
418 |
+
"learning_rate": 8.345e-07,
|
419 |
+
"loss": 0.1493,
|
420 |
+
"step": 1675
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 0.54,
|
424 |
+
"learning_rate": 8.469999999999999e-07,
|
425 |
+
"loss": 0.1471,
|
426 |
+
"step": 1700
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.55,
|
430 |
+
"learning_rate": 8.595e-07,
|
431 |
+
"loss": 0.1359,
|
432 |
+
"step": 1725
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.56,
|
436 |
+
"learning_rate": 8.72e-07,
|
437 |
+
"loss": 0.1494,
|
438 |
+
"step": 1750
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.57,
|
442 |
+
"learning_rate": 8.845e-07,
|
443 |
+
"loss": 0.1521,
|
444 |
+
"step": 1775
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.58,
|
448 |
+
"learning_rate": 8.969999999999999e-07,
|
449 |
+
"loss": 0.158,
|
450 |
+
"step": 1800
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.58,
|
454 |
+
"learning_rate": 9.094999999999999e-07,
|
455 |
+
"loss": 0.1591,
|
456 |
+
"step": 1825
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.59,
|
460 |
+
"learning_rate": 9.22e-07,
|
461 |
+
"loss": 0.1408,
|
462 |
+
"step": 1850
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 0.6,
|
466 |
+
"learning_rate": 9.344999999999999e-07,
|
467 |
+
"loss": 0.1719,
|
468 |
+
"step": 1875
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.61,
|
472 |
+
"learning_rate": 9.469999999999999e-07,
|
473 |
+
"loss": 0.1466,
|
474 |
+
"step": 1900
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.62,
|
478 |
+
"learning_rate": 9.594999999999999e-07,
|
479 |
+
"loss": 0.1502,
|
480 |
+
"step": 1925
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.62,
|
484 |
+
"learning_rate": 9.72e-07,
|
485 |
+
"loss": 0.1487,
|
486 |
+
"step": 1950
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.63,
|
490 |
+
"learning_rate": 9.845e-07,
|
491 |
+
"loss": 0.1463,
|
492 |
+
"step": 1975
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.64,
|
496 |
+
"learning_rate": 9.97e-07,
|
497 |
+
"loss": 0.1343,
|
498 |
+
"step": 2000
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.64,
|
502 |
+
"eval_cer": 1.208423670986067,
|
503 |
+
"eval_loss": 0.14436140656471252,
|
504 |
+
"eval_runtime": 941.5744,
|
505 |
+
"eval_samples_per_second": 1.062,
|
506 |
+
"eval_steps_per_second": 0.133,
|
507 |
+
"eval_wer": 4.083274665593885,
|
508 |
+
"step": 2000
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.65,
|
512 |
+
"learning_rate": 9.989444444444443e-07,
|
513 |
+
"loss": 0.1575,
|
514 |
+
"step": 2025
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.66,
|
518 |
+
"learning_rate": 9.975555555555556e-07,
|
519 |
+
"loss": 0.1468,
|
520 |
+
"step": 2050
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.66,
|
524 |
+
"learning_rate": 9.961666666666667e-07,
|
525 |
+
"loss": 0.1389,
|
526 |
+
"step": 2075
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 0.67,
|
530 |
+
"learning_rate": 9.947777777777778e-07,
|
531 |
+
"loss": 0.1412,
|
532 |
+
"step": 2100
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 0.68,
|
536 |
+
"learning_rate": 9.933888888888889e-07,
|
537 |
+
"loss": 0.1589,
|
538 |
+
"step": 2125
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 0.69,
|
542 |
+
"learning_rate": 9.92e-07,
|
543 |
+
"loss": 0.141,
|
544 |
+
"step": 2150
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.7,
|
548 |
+
"learning_rate": 9.90611111111111e-07,
|
549 |
+
"loss": 0.1374,
|
550 |
+
"step": 2175
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 0.7,
|
554 |
+
"learning_rate": 9.892222222222222e-07,
|
555 |
+
"loss": 0.1444,
|
556 |
+
"step": 2200
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.71,
|
560 |
+
"learning_rate": 9.878333333333333e-07,
|
561 |
+
"loss": 0.1583,
|
562 |
+
"step": 2225
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.72,
|
566 |
+
"learning_rate": 9.864444444444444e-07,
|
567 |
+
"loss": 0.1529,
|
568 |
+
"step": 2250
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 0.73,
|
572 |
+
"learning_rate": 9.850555555555555e-07,
|
573 |
+
"loss": 0.1455,
|
574 |
+
"step": 2275
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 0.74,
|
578 |
+
"learning_rate": 9.836666666666666e-07,
|
579 |
+
"loss": 0.1498,
|
580 |
+
"step": 2300
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 0.74,
|
584 |
+
"learning_rate": 9.822777777777777e-07,
|
585 |
+
"loss": 0.1464,
|
586 |
+
"step": 2325
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 0.75,
|
590 |
+
"learning_rate": 9.808888888888888e-07,
|
591 |
+
"loss": 0.1486,
|
592 |
+
"step": 2350
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.76,
|
596 |
+
"learning_rate": 9.795e-07,
|
597 |
+
"loss": 0.1449,
|
598 |
+
"step": 2375
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.77,
|
602 |
+
"learning_rate": 9.781111111111112e-07,
|
603 |
+
"loss": 0.1439,
|
604 |
+
"step": 2400
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.78,
|
608 |
+
"learning_rate": 9.767222222222223e-07,
|
609 |
+
"loss": 0.1454,
|
610 |
+
"step": 2425
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 0.78,
|
614 |
+
"learning_rate": 9.753333333333334e-07,
|
615 |
+
"loss": 0.1285,
|
616 |
+
"step": 2450
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 0.79,
|
620 |
+
"learning_rate": 9.739444444444443e-07,
|
621 |
+
"loss": 0.1495,
|
622 |
+
"step": 2475
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 0.8,
|
626 |
+
"learning_rate": 9.725555555555554e-07,
|
627 |
+
"loss": 0.1487,
|
628 |
+
"step": 2500
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 0.81,
|
632 |
+
"learning_rate": 9.711666666666665e-07,
|
633 |
+
"loss": 0.1284,
|
634 |
+
"step": 2525
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 0.82,
|
638 |
+
"learning_rate": 9.697777777777776e-07,
|
639 |
+
"loss": 0.14,
|
640 |
+
"step": 2550
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.82,
|
644 |
+
"learning_rate": 9.68388888888889e-07,
|
645 |
+
"loss": 0.137,
|
646 |
+
"step": 2575
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.83,
|
650 |
+
"learning_rate": 9.67e-07,
|
651 |
+
"loss": 0.1532,
|
652 |
+
"step": 2600
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 0.84,
|
656 |
+
"learning_rate": 9.656111111111111e-07,
|
657 |
+
"loss": 0.1293,
|
658 |
+
"step": 2625
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 0.85,
|
662 |
+
"learning_rate": 9.642222222222222e-07,
|
663 |
+
"loss": 0.1386,
|
664 |
+
"step": 2650
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 0.86,
|
668 |
+
"learning_rate": 9.628333333333333e-07,
|
669 |
+
"loss": 0.1492,
|
670 |
+
"step": 2675
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 0.86,
|
674 |
+
"learning_rate": 9.614444444444444e-07,
|
675 |
+
"loss": 0.1413,
|
676 |
+
"step": 2700
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 0.87,
|
680 |
+
"learning_rate": 9.600555555555555e-07,
|
681 |
+
"loss": 0.1394,
|
682 |
+
"step": 2725
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.88,
|
686 |
+
"learning_rate": 9.586666666666666e-07,
|
687 |
+
"loss": 0.1377,
|
688 |
+
"step": 2750
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.89,
|
692 |
+
"learning_rate": 9.572777777777777e-07,
|
693 |
+
"loss": 0.1467,
|
694 |
+
"step": 2775
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 0.9,
|
698 |
+
"learning_rate": 9.558888888888888e-07,
|
699 |
+
"loss": 0.1341,
|
700 |
+
"step": 2800
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 0.9,
|
704 |
+
"learning_rate": 9.545e-07,
|
705 |
+
"loss": 0.1387,
|
706 |
+
"step": 2825
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.91,
|
710 |
+
"learning_rate": 9.531111111111111e-07,
|
711 |
+
"loss": 0.1358,
|
712 |
+
"step": 2850
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 0.92,
|
716 |
+
"learning_rate": 9.517222222222222e-07,
|
717 |
+
"loss": 0.1346,
|
718 |
+
"step": 2875
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.93,
|
722 |
+
"learning_rate": 9.503333333333333e-07,
|
723 |
+
"loss": 0.1438,
|
724 |
+
"step": 2900
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 0.94,
|
728 |
+
"learning_rate": 9.489444444444444e-07,
|
729 |
+
"loss": 0.149,
|
730 |
+
"step": 2925
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.94,
|
734 |
+
"learning_rate": 9.475555555555555e-07,
|
735 |
+
"loss": 0.138,
|
736 |
+
"step": 2950
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 0.95,
|
740 |
+
"learning_rate": 9.461666666666666e-07,
|
741 |
+
"loss": 0.1292,
|
742 |
+
"step": 2975
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 0.96,
|
746 |
+
"learning_rate": 9.447777777777777e-07,
|
747 |
+
"loss": 0.1312,
|
748 |
+
"step": 3000
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 0.96,
|
752 |
+
"eval_cer": 1.1932973663422914,
|
753 |
+
"eval_loss": 0.13624157011508942,
|
754 |
+
"eval_runtime": 939.634,
|
755 |
+
"eval_samples_per_second": 1.064,
|
756 |
+
"eval_steps_per_second": 0.133,
|
757 |
+
"eval_wer": 3.9324147641556872,
|
758 |
+
"step": 3000
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.97,
|
762 |
+
"learning_rate": 9.433888888888889e-07,
|
763 |
+
"loss": 0.1414,
|
764 |
+
"step": 3025
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.98,
|
768 |
+
"learning_rate": 9.419999999999999e-07,
|
769 |
+
"loss": 0.1446,
|
770 |
+
"step": 3050
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.98,
|
774 |
+
"learning_rate": 9.40611111111111e-07,
|
775 |
+
"loss": 0.129,
|
776 |
+
"step": 3075
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 0.99,
|
780 |
+
"learning_rate": 9.392222222222221e-07,
|
781 |
+
"loss": 0.1378,
|
782 |
+
"step": 3100
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 1.0,
|
786 |
+
"learning_rate": 9.378333333333332e-07,
|
787 |
+
"loss": 0.1277,
|
788 |
+
"step": 3125
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.01,
|
792 |
+
"learning_rate": 9.364444444444443e-07,
|
793 |
+
"loss": 0.1301,
|
794 |
+
"step": 3150
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 1.02,
|
798 |
+
"learning_rate": 9.350555555555554e-07,
|
799 |
+
"loss": 0.1193,
|
800 |
+
"step": 3175
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.02,
|
804 |
+
"learning_rate": 9.336666666666666e-07,
|
805 |
+
"loss": 0.1223,
|
806 |
+
"step": 3200
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.03,
|
810 |
+
"learning_rate": 9.322777777777778e-07,
|
811 |
+
"loss": 0.1233,
|
812 |
+
"step": 3225
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 1.04,
|
816 |
+
"learning_rate": 9.308888888888889e-07,
|
817 |
+
"loss": 0.1176,
|
818 |
+
"step": 3250
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 1.05,
|
822 |
+
"learning_rate": 9.295e-07,
|
823 |
+
"loss": 0.1145,
|
824 |
+
"step": 3275
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 1.06,
|
828 |
+
"learning_rate": 9.281111111111111e-07,
|
829 |
+
"loss": 0.1225,
|
830 |
+
"step": 3300
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.06,
|
834 |
+
"learning_rate": 9.267222222222222e-07,
|
835 |
+
"loss": 0.1251,
|
836 |
+
"step": 3325
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 1.07,
|
840 |
+
"learning_rate": 9.253333333333333e-07,
|
841 |
+
"loss": 0.1257,
|
842 |
+
"step": 3350
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.08,
|
846 |
+
"learning_rate": 9.239444444444445e-07,
|
847 |
+
"loss": 0.1075,
|
848 |
+
"step": 3375
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.09,
|
852 |
+
"learning_rate": 9.225555555555556e-07,
|
853 |
+
"loss": 0.122,
|
854 |
+
"step": 3400
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 1.1,
|
858 |
+
"learning_rate": 9.211666666666667e-07,
|
859 |
+
"loss": 0.1245,
|
860 |
+
"step": 3425
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 1.1,
|
864 |
+
"learning_rate": 9.197777777777778e-07,
|
865 |
+
"loss": 0.122,
|
866 |
+
"step": 3450
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 1.11,
|
870 |
+
"learning_rate": 9.183888888888889e-07,
|
871 |
+
"loss": 0.1219,
|
872 |
+
"step": 3475
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.12,
|
876 |
+
"learning_rate": 9.17e-07,
|
877 |
+
"loss": 0.1053,
|
878 |
+
"step": 3500
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 1.13,
|
882 |
+
"learning_rate": 9.156111111111111e-07,
|
883 |
+
"loss": 0.1197,
|
884 |
+
"step": 3525
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.14,
|
888 |
+
"learning_rate": 9.142222222222223e-07,
|
889 |
+
"loss": 0.1162,
|
890 |
+
"step": 3550
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.14,
|
894 |
+
"learning_rate": 9.128333333333334e-07,
|
895 |
+
"loss": 0.1185,
|
896 |
+
"step": 3575
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 1.15,
|
900 |
+
"learning_rate": 9.114444444444444e-07,
|
901 |
+
"loss": 0.1148,
|
902 |
+
"step": 3600
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 1.16,
|
906 |
+
"learning_rate": 9.100555555555555e-07,
|
907 |
+
"loss": 0.1117,
|
908 |
+
"step": 3625
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 1.17,
|
912 |
+
"learning_rate": 9.086666666666666e-07,
|
913 |
+
"loss": 0.1211,
|
914 |
+
"step": 3650
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.18,
|
918 |
+
"learning_rate": 9.072777777777777e-07,
|
919 |
+
"loss": 0.1055,
|
920 |
+
"step": 3675
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.18,
|
924 |
+
"learning_rate": 9.058888888888888e-07,
|
925 |
+
"loss": 0.1113,
|
926 |
+
"step": 3700
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 1.19,
|
930 |
+
"learning_rate": 9.045e-07,
|
931 |
+
"loss": 0.1125,
|
932 |
+
"step": 3725
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.2,
|
936 |
+
"learning_rate": 9.031111111111111e-07,
|
937 |
+
"loss": 0.1146,
|
938 |
+
"step": 3750
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 1.21,
|
942 |
+
"learning_rate": 9.017222222222222e-07,
|
943 |
+
"loss": 0.1293,
|
944 |
+
"step": 3775
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 1.22,
|
948 |
+
"learning_rate": 9.003333333333333e-07,
|
949 |
+
"loss": 0.1306,
|
950 |
+
"step": 3800
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 1.22,
|
954 |
+
"learning_rate": 8.989444444444444e-07,
|
955 |
+
"loss": 0.107,
|
956 |
+
"step": 3825
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 1.23,
|
960 |
+
"learning_rate": 8.975555555555555e-07,
|
961 |
+
"loss": 0.1194,
|
962 |
+
"step": 3850
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 1.24,
|
966 |
+
"learning_rate": 8.961666666666666e-07,
|
967 |
+
"loss": 0.112,
|
968 |
+
"step": 3875
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 1.25,
|
972 |
+
"learning_rate": 8.947777777777778e-07,
|
973 |
+
"loss": 0.1173,
|
974 |
+
"step": 3900
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.26,
|
978 |
+
"learning_rate": 8.933888888888889e-07,
|
979 |
+
"loss": 0.1193,
|
980 |
+
"step": 3925
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 1.26,
|
984 |
+
"learning_rate": 8.92e-07,
|
985 |
+
"loss": 0.1148,
|
986 |
+
"step": 3950
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 1.27,
|
990 |
+
"learning_rate": 8.906111111111111e-07,
|
991 |
+
"loss": 0.1154,
|
992 |
+
"step": 3975
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 1.28,
|
996 |
+
"learning_rate": 8.892222222222222e-07,
|
997 |
+
"loss": 0.1206,
|
998 |
+
"step": 4000
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 1.28,
|
1002 |
+
"eval_cer": 1.174809660666566,
|
1003 |
+
"eval_loss": 0.13329146802425385,
|
1004 |
+
"eval_runtime": 941.0652,
|
1005 |
+
"eval_samples_per_second": 1.063,
|
1006 |
+
"eval_steps_per_second": 0.133,
|
1007 |
+
"eval_wer": 3.8519561500553157,
|
1008 |
+
"step": 4000
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 1.29,
|
1012 |
+
"learning_rate": 8.878333333333333e-07,
|
1013 |
+
"loss": 0.1156,
|
1014 |
+
"step": 4025
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 1.3,
|
1018 |
+
"learning_rate": 8.864444444444444e-07,
|
1019 |
+
"loss": 0.1223,
|
1020 |
+
"step": 4050
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 1.3,
|
1024 |
+
"learning_rate": 8.850555555555556e-07,
|
1025 |
+
"loss": 0.1176,
|
1026 |
+
"step": 4075
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 1.31,
|
1030 |
+
"learning_rate": 8.836666666666667e-07,
|
1031 |
+
"loss": 0.1134,
|
1032 |
+
"step": 4100
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 1.32,
|
1036 |
+
"learning_rate": 8.822777777777778e-07,
|
1037 |
+
"loss": 0.1195,
|
1038 |
+
"step": 4125
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 1.33,
|
1042 |
+
"learning_rate": 8.808888888888889e-07,
|
1043 |
+
"loss": 0.1131,
|
1044 |
+
"step": 4150
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 1.34,
|
1048 |
+
"learning_rate": 8.794999999999999e-07,
|
1049 |
+
"loss": 0.1251,
|
1050 |
+
"step": 4175
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 1.34,
|
1054 |
+
"learning_rate": 8.78111111111111e-07,
|
1055 |
+
"loss": 0.1102,
|
1056 |
+
"step": 4200
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 1.35,
|
1060 |
+
"learning_rate": 8.767222222222221e-07,
|
1061 |
+
"loss": 0.1223,
|
1062 |
+
"step": 4225
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 1.36,
|
1066 |
+
"learning_rate": 8.753333333333332e-07,
|
1067 |
+
"loss": 0.109,
|
1068 |
+
"step": 4250
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 1.37,
|
1072 |
+
"learning_rate": 8.739444444444444e-07,
|
1073 |
+
"loss": 0.1226,
|
1074 |
+
"step": 4275
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 1.38,
|
1078 |
+
"learning_rate": 8.725555555555555e-07,
|
1079 |
+
"loss": 0.1201,
|
1080 |
+
"step": 4300
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 1.38,
|
1084 |
+
"learning_rate": 8.711666666666666e-07,
|
1085 |
+
"loss": 0.1126,
|
1086 |
+
"step": 4325
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 1.39,
|
1090 |
+
"learning_rate": 8.697777777777777e-07,
|
1091 |
+
"loss": 0.113,
|
1092 |
+
"step": 4350
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 1.4,
|
1096 |
+
"learning_rate": 8.683888888888888e-07,
|
1097 |
+
"loss": 0.1132,
|
1098 |
+
"step": 4375
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 1.41,
|
1102 |
+
"learning_rate": 8.669999999999999e-07,
|
1103 |
+
"loss": 0.103,
|
1104 |
+
"step": 4400
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 1.42,
|
1108 |
+
"learning_rate": 8.656111111111111e-07,
|
1109 |
+
"loss": 0.1235,
|
1110 |
+
"step": 4425
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 1.42,
|
1114 |
+
"learning_rate": 8.642222222222222e-07,
|
1115 |
+
"loss": 0.1189,
|
1116 |
+
"step": 4450
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 1.43,
|
1120 |
+
"learning_rate": 8.628333333333333e-07,
|
1121 |
+
"loss": 0.1303,
|
1122 |
+
"step": 4475
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 1.44,
|
1126 |
+
"learning_rate": 8.614444444444444e-07,
|
1127 |
+
"loss": 0.1121,
|
1128 |
+
"step": 4500
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 1.45,
|
1132 |
+
"learning_rate": 8.600555555555555e-07,
|
1133 |
+
"loss": 0.1172,
|
1134 |
+
"step": 4525
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 1.46,
|
1138 |
+
"learning_rate": 8.586666666666666e-07,
|
1139 |
+
"loss": 0.1214,
|
1140 |
+
"step": 4550
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 1.46,
|
1144 |
+
"learning_rate": 8.572777777777777e-07,
|
1145 |
+
"loss": 0.1172,
|
1146 |
+
"step": 4575
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 1.47,
|
1150 |
+
"learning_rate": 8.558888888888889e-07,
|
1151 |
+
"loss": 0.1124,
|
1152 |
+
"step": 4600
|
1153 |
+
},
|
1154 |
+
{
|
1155 |
+
"epoch": 1.48,
|
1156 |
+
"learning_rate": 8.545e-07,
|
1157 |
+
"loss": 0.116,
|
1158 |
+
"step": 4625
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 1.49,
|
1162 |
+
"learning_rate": 8.531111111111111e-07,
|
1163 |
+
"loss": 0.1147,
|
1164 |
+
"step": 4650
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 1.5,
|
1168 |
+
"learning_rate": 8.517222222222222e-07,
|
1169 |
+
"loss": 0.1209,
|
1170 |
+
"step": 4675
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 1.5,
|
1174 |
+
"learning_rate": 8.503333333333333e-07,
|
1175 |
+
"loss": 0.1176,
|
1176 |
+
"step": 4700
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 1.51,
|
1180 |
+
"learning_rate": 8.489444444444443e-07,
|
1181 |
+
"loss": 0.1139,
|
1182 |
+
"step": 4725
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 1.52,
|
1186 |
+
"learning_rate": 8.475555555555554e-07,
|
1187 |
+
"loss": 0.1031,
|
1188 |
+
"step": 4750
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 1.53,
|
1192 |
+
"learning_rate": 8.461666666666665e-07,
|
1193 |
+
"loss": 0.1179,
|
1194 |
+
"step": 4775
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 1.54,
|
1198 |
+
"learning_rate": 8.447777777777777e-07,
|
1199 |
+
"loss": 0.1177,
|
1200 |
+
"step": 4800
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 1.54,
|
1204 |
+
"learning_rate": 8.433888888888888e-07,
|
1205 |
+
"loss": 0.1054,
|
1206 |
+
"step": 4825
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 1.55,
|
1210 |
+
"learning_rate": 8.419999999999999e-07,
|
1211 |
+
"loss": 0.1184,
|
1212 |
+
"step": 4850
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 1.56,
|
1216 |
+
"learning_rate": 8.40611111111111e-07,
|
1217 |
+
"loss": 0.1149,
|
1218 |
+
"step": 4875
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"epoch": 1.57,
|
1222 |
+
"learning_rate": 8.392222222222221e-07,
|
1223 |
+
"loss": 0.1085,
|
1224 |
+
"step": 4900
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 1.58,
|
1228 |
+
"learning_rate": 8.378333333333332e-07,
|
1229 |
+
"loss": 0.1158,
|
1230 |
+
"step": 4925
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 1.58,
|
1234 |
+
"learning_rate": 8.364444444444443e-07,
|
1235 |
+
"loss": 0.1168,
|
1236 |
+
"step": 4950
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 1.59,
|
1240 |
+
"learning_rate": 8.350555555555556e-07,
|
1241 |
+
"loss": 0.1085,
|
1242 |
+
"step": 4975
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 1.6,
|
1246 |
+
"learning_rate": 8.336666666666667e-07,
|
1247 |
+
"loss": 0.1143,
|
1248 |
+
"step": 5000
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 1.6,
|
1252 |
+
"eval_cer": 1.0571606245483118,
|
1253 |
+
"eval_loss": 0.13207247853279114,
|
1254 |
+
"eval_runtime": 940.9316,
|
1255 |
+
"eval_samples_per_second": 1.063,
|
1256 |
+
"eval_steps_per_second": 0.133,
|
1257 |
+
"eval_wer": 3.6508096148043854,
|
1258 |
+
"step": 5000
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 1.61,
|
1262 |
+
"learning_rate": 8.322777777777778e-07,
|
1263 |
+
"loss": 0.1176,
|
1264 |
+
"step": 5025
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 1.62,
|
1268 |
+
"learning_rate": 8.308888888888889e-07,
|
1269 |
+
"loss": 0.1303,
|
1270 |
+
"step": 5050
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 1.62,
|
1274 |
+
"learning_rate": 8.295e-07,
|
1275 |
+
"loss": 0.1226,
|
1276 |
+
"step": 5075
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 1.63,
|
1280 |
+
"learning_rate": 8.281111111111111e-07,
|
1281 |
+
"loss": 0.1189,
|
1282 |
+
"step": 5100
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 1.64,
|
1286 |
+
"learning_rate": 8.267222222222222e-07,
|
1287 |
+
"loss": 0.118,
|
1288 |
+
"step": 5125
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"epoch": 1.65,
|
1292 |
+
"learning_rate": 8.253333333333334e-07,
|
1293 |
+
"loss": 0.1264,
|
1294 |
+
"step": 5150
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 1.66,
|
1298 |
+
"learning_rate": 8.239444444444445e-07,
|
1299 |
+
"loss": 0.1162,
|
1300 |
+
"step": 5175
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 1.66,
|
1304 |
+
"learning_rate": 8.225555555555556e-07,
|
1305 |
+
"loss": 0.1081,
|
1306 |
+
"step": 5200
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 1.67,
|
1310 |
+
"learning_rate": 8.211666666666667e-07,
|
1311 |
+
"loss": 0.1205,
|
1312 |
+
"step": 5225
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 1.68,
|
1316 |
+
"learning_rate": 8.197777777777778e-07,
|
1317 |
+
"loss": 0.1191,
|
1318 |
+
"step": 5250
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 1.69,
|
1322 |
+
"learning_rate": 8.183888888888889e-07,
|
1323 |
+
"loss": 0.1166,
|
1324 |
+
"step": 5275
|
1325 |
+
},
|
1326 |
+
{
|
1327 |
+
"epoch": 1.7,
|
1328 |
+
"learning_rate": 8.169999999999999e-07,
|
1329 |
+
"loss": 0.1173,
|
1330 |
+
"step": 5300
|
1331 |
+
},
|
1332 |
+
{
|
1333 |
+
"epoch": 1.7,
|
1334 |
+
"learning_rate": 8.156111111111111e-07,
|
1335 |
+
"loss": 0.1138,
|
1336 |
+
"step": 5325
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 1.71,
|
1340 |
+
"learning_rate": 8.142222222222222e-07,
|
1341 |
+
"loss": 0.1261,
|
1342 |
+
"step": 5350
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 1.72,
|
1346 |
+
"learning_rate": 8.128333333333333e-07,
|
1347 |
+
"loss": 0.1213,
|
1348 |
+
"step": 5375
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"epoch": 1.73,
|
1352 |
+
"learning_rate": 8.114444444444444e-07,
|
1353 |
+
"loss": 0.1097,
|
1354 |
+
"step": 5400
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 1.74,
|
1358 |
+
"learning_rate": 8.100555555555555e-07,
|
1359 |
+
"loss": 0.1169,
|
1360 |
+
"step": 5425
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 1.74,
|
1364 |
+
"learning_rate": 8.086666666666666e-07,
|
1365 |
+
"loss": 0.1145,
|
1366 |
+
"step": 5450
|
1367 |
+
},
|
1368 |
+
{
|
1369 |
+
"epoch": 1.75,
|
1370 |
+
"learning_rate": 8.072777777777777e-07,
|
1371 |
+
"loss": 0.1165,
|
1372 |
+
"step": 5475
|
1373 |
+
},
|
1374 |
+
{
|
1375 |
+
"epoch": 1.76,
|
1376 |
+
"learning_rate": 8.058888888888889e-07,
|
1377 |
+
"loss": 0.122,
|
1378 |
+
"step": 5500
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 1.77,
|
1382 |
+
"learning_rate": 8.045e-07,
|
1383 |
+
"loss": 0.1215,
|
1384 |
+
"step": 5525
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 1.78,
|
1388 |
+
"learning_rate": 8.031111111111111e-07,
|
1389 |
+
"loss": 0.1172,
|
1390 |
+
"step": 5550
|
1391 |
+
},
|
1392 |
+
{
|
1393 |
+
"epoch": 1.78,
|
1394 |
+
"learning_rate": 8.017777777777778e-07,
|
1395 |
+
"loss": 0.1072,
|
1396 |
+
"step": 5575
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 1.79,
|
1400 |
+
"learning_rate": 8.003888888888889e-07,
|
1401 |
+
"loss": 0.1198,
|
1402 |
+
"step": 5600
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 1.8,
|
1406 |
+
"learning_rate": 7.99e-07,
|
1407 |
+
"loss": 0.1232,
|
1408 |
+
"step": 5625
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 1.81,
|
1412 |
+
"learning_rate": 7.976111111111111e-07,
|
1413 |
+
"loss": 0.1184,
|
1414 |
+
"step": 5650
|
1415 |
+
},
|
1416 |
+
{
|
1417 |
+
"epoch": 1.82,
|
1418 |
+
"learning_rate": 7.962222222222222e-07,
|
1419 |
+
"loss": 0.1163,
|
1420 |
+
"step": 5675
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 1.82,
|
1424 |
+
"learning_rate": 7.948333333333333e-07,
|
1425 |
+
"loss": 0.1181,
|
1426 |
+
"step": 5700
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 1.83,
|
1430 |
+
"learning_rate": 7.934444444444444e-07,
|
1431 |
+
"loss": 0.1135,
|
1432 |
+
"step": 5725
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 1.84,
|
1436 |
+
"learning_rate": 7.920555555555555e-07,
|
1437 |
+
"loss": 0.1195,
|
1438 |
+
"step": 5750
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 1.85,
|
1442 |
+
"learning_rate": 7.906666666666666e-07,
|
1443 |
+
"loss": 0.1118,
|
1444 |
+
"step": 5775
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 1.86,
|
1448 |
+
"learning_rate": 7.892777777777777e-07,
|
1449 |
+
"loss": 0.1131,
|
1450 |
+
"step": 5800
|
1451 |
+
},
|
1452 |
+
{
|
1453 |
+
"epoch": 1.86,
|
1454 |
+
"learning_rate": 7.878888888888888e-07,
|
1455 |
+
"loss": 0.1154,
|
1456 |
+
"step": 5825
|
1457 |
+
},
|
1458 |
+
{
|
1459 |
+
"epoch": 1.87,
|
1460 |
+
"learning_rate": 7.864999999999999e-07,
|
1461 |
+
"loss": 0.1136,
|
1462 |
+
"step": 5850
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 1.88,
|
1466 |
+
"learning_rate": 7.851111111111111e-07,
|
1467 |
+
"loss": 0.1097,
|
1468 |
+
"step": 5875
|
1469 |
+
},
|
1470 |
+
{
|
1471 |
+
"epoch": 1.89,
|
1472 |
+
"learning_rate": 7.837222222222222e-07,
|
1473 |
+
"loss": 0.113,
|
1474 |
+
"step": 5900
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 1.9,
|
1478 |
+
"learning_rate": 7.823333333333333e-07,
|
1479 |
+
"loss": 0.1179,
|
1480 |
+
"step": 5925
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 1.9,
|
1484 |
+
"learning_rate": 7.809444444444444e-07,
|
1485 |
+
"loss": 0.1118,
|
1486 |
+
"step": 5950
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 1.91,
|
1490 |
+
"learning_rate": 7.795555555555555e-07,
|
1491 |
+
"loss": 0.1151,
|
1492 |
+
"step": 5975
|
1493 |
+
},
|
1494 |
+
{
|
1495 |
+
"epoch": 1.92,
|
1496 |
+
"learning_rate": 7.781666666666666e-07,
|
1497 |
+
"loss": 0.1202,
|
1498 |
+
"step": 6000
|
1499 |
+
},
|
1500 |
+
{
|
1501 |
+
"epoch": 1.92,
|
1502 |
+
"eval_cer": 1.1311114472512143,
|
1503 |
+
"eval_loss": 0.12914104759693146,
|
1504 |
+
"eval_runtime": 942.1178,
|
1505 |
+
"eval_samples_per_second": 1.061,
|
1506 |
+
"eval_steps_per_second": 0.133,
|
1507 |
+
"eval_wer": 3.8016695162425824,
|
1508 |
+
"step": 6000
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 1.93,
|
1512 |
+
"learning_rate": 7.767777777777777e-07,
|
1513 |
+
"loss": 0.1144,
|
1514 |
+
"step": 6025
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 1.94,
|
1518 |
+
"learning_rate": 7.753888888888889e-07,
|
1519 |
+
"loss": 0.1077,
|
1520 |
+
"step": 6050
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 1.94,
|
1524 |
+
"learning_rate": 7.74e-07,
|
1525 |
+
"loss": 0.1064,
|
1526 |
+
"step": 6075
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 1.95,
|
1530 |
+
"learning_rate": 7.726111111111111e-07,
|
1531 |
+
"loss": 0.1191,
|
1532 |
+
"step": 6100
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 1.96,
|
1536 |
+
"learning_rate": 7.712222222222222e-07,
|
1537 |
+
"loss": 0.1176,
|
1538 |
+
"step": 6125
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 1.97,
|
1542 |
+
"learning_rate": 7.698333333333333e-07,
|
1543 |
+
"loss": 0.112,
|
1544 |
+
"step": 6150
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 1.98,
|
1548 |
+
"learning_rate": 7.684444444444444e-07,
|
1549 |
+
"loss": 0.1103,
|
1550 |
+
"step": 6175
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 1.98,
|
1554 |
+
"learning_rate": 7.670555555555555e-07,
|
1555 |
+
"loss": 0.1189,
|
1556 |
+
"step": 6200
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 1.99,
|
1560 |
+
"learning_rate": 7.656666666666667e-07,
|
1561 |
+
"loss": 0.1124,
|
1562 |
+
"step": 6225
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 2.0,
|
1566 |
+
"learning_rate": 7.642777777777777e-07,
|
1567 |
+
"loss": 0.1103,
|
1568 |
+
"step": 6250
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 2.01,
|
1572 |
+
"learning_rate": 7.628888888888888e-07,
|
1573 |
+
"loss": 0.0959,
|
1574 |
+
"step": 6275
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 2.02,
|
1578 |
+
"learning_rate": 7.614999999999999e-07,
|
1579 |
+
"loss": 0.0909,
|
1580 |
+
"step": 6300
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 2.02,
|
1584 |
+
"learning_rate": 7.60111111111111e-07,
|
1585 |
+
"loss": 0.0894,
|
1586 |
+
"step": 6325
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 2.03,
|
1590 |
+
"learning_rate": 7.587222222222221e-07,
|
1591 |
+
"loss": 0.0895,
|
1592 |
+
"step": 6350
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 2.04,
|
1596 |
+
"learning_rate": 7.573333333333332e-07,
|
1597 |
+
"loss": 0.0957,
|
1598 |
+
"step": 6375
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 2.05,
|
1602 |
+
"learning_rate": 7.559444444444443e-07,
|
1603 |
+
"loss": 0.0949,
|
1604 |
+
"step": 6400
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 2.06,
|
1608 |
+
"learning_rate": 7.545555555555555e-07,
|
1609 |
+
"loss": 0.0966,
|
1610 |
+
"step": 6425
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 2.06,
|
1614 |
+
"learning_rate": 7.531666666666666e-07,
|
1615 |
+
"loss": 0.0903,
|
1616 |
+
"step": 6450
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 2.07,
|
1620 |
+
"learning_rate": 7.517777777777777e-07,
|
1621 |
+
"loss": 0.0943,
|
1622 |
+
"step": 6475
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 2.08,
|
1626 |
+
"learning_rate": 7.503888888888888e-07,
|
1627 |
+
"loss": 0.0923,
|
1628 |
+
"step": 6500
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 2.09,
|
1632 |
+
"learning_rate": 7.489999999999999e-07,
|
1633 |
+
"loss": 0.0958,
|
1634 |
+
"step": 6525
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 2.1,
|
1638 |
+
"learning_rate": 7.47611111111111e-07,
|
1639 |
+
"loss": 0.0867,
|
1640 |
+
"step": 6550
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 2.1,
|
1644 |
+
"learning_rate": 7.462222222222221e-07,
|
1645 |
+
"loss": 0.0901,
|
1646 |
+
"step": 6575
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 2.11,
|
1650 |
+
"learning_rate": 7.448333333333334e-07,
|
1651 |
+
"loss": 0.0947,
|
1652 |
+
"step": 6600
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 2.12,
|
1656 |
+
"learning_rate": 7.434444444444445e-07,
|
1657 |
+
"loss": 0.0897,
|
1658 |
+
"step": 6625
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 2.13,
|
1662 |
+
"learning_rate": 7.420555555555556e-07,
|
1663 |
+
"loss": 0.0908,
|
1664 |
+
"step": 6650
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 2.14,
|
1668 |
+
"learning_rate": 7.406666666666667e-07,
|
1669 |
+
"loss": 0.0945,
|
1670 |
+
"step": 6675
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 2.14,
|
1674 |
+
"learning_rate": 7.392777777777778e-07,
|
1675 |
+
"loss": 0.0867,
|
1676 |
+
"step": 6700
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 2.15,
|
1680 |
+
"learning_rate": 7.378888888888889e-07,
|
1681 |
+
"loss": 0.0979,
|
1682 |
+
"step": 6725
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 2.16,
|
1686 |
+
"learning_rate": 7.365e-07,
|
1687 |
+
"loss": 0.098,
|
1688 |
+
"step": 6750
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 2.17,
|
1692 |
+
"learning_rate": 7.351111111111112e-07,
|
1693 |
+
"loss": 0.0915,
|
1694 |
+
"step": 6775
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 2.18,
|
1698 |
+
"learning_rate": 7.337222222222223e-07,
|
1699 |
+
"loss": 0.092,
|
1700 |
+
"step": 6800
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 2.18,
|
1704 |
+
"learning_rate": 7.323333333333333e-07,
|
1705 |
+
"loss": 0.0888,
|
1706 |
+
"step": 6825
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 2.19,
|
1710 |
+
"learning_rate": 7.309444444444444e-07,
|
1711 |
+
"loss": 0.0872,
|
1712 |
+
"step": 6850
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 2.2,
|
1716 |
+
"learning_rate": 7.295555555555555e-07,
|
1717 |
+
"loss": 0.0892,
|
1718 |
+
"step": 6875
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 2.21,
|
1722 |
+
"learning_rate": 7.281666666666666e-07,
|
1723 |
+
"loss": 0.0808,
|
1724 |
+
"step": 6900
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 2.22,
|
1728 |
+
"learning_rate": 7.267777777777777e-07,
|
1729 |
+
"loss": 0.0965,
|
1730 |
+
"step": 6925
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 2.22,
|
1734 |
+
"learning_rate": 7.253888888888889e-07,
|
1735 |
+
"loss": 0.0879,
|
1736 |
+
"step": 6950
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 2.23,
|
1740 |
+
"learning_rate": 7.24e-07,
|
1741 |
+
"loss": 0.0915,
|
1742 |
+
"step": 6975
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 2.24,
|
1746 |
+
"learning_rate": 7.226111111111111e-07,
|
1747 |
+
"loss": 0.0856,
|
1748 |
+
"step": 7000
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 2.24,
|
1752 |
+
"eval_cer": 1.0840518328039128,
|
1753 |
+
"eval_loss": 0.13248993456363678,
|
1754 |
+
"eval_runtime": 939.5436,
|
1755 |
+
"eval_samples_per_second": 1.064,
|
1756 |
+
"eval_steps_per_second": 0.133,
|
1757 |
+
"eval_wer": 3.7010962486171173,
|
1758 |
+
"step": 7000
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 2.25,
|
1762 |
+
"learning_rate": 7.212222222222222e-07,
|
1763 |
+
"loss": 0.0921,
|
1764 |
+
"step": 7025
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 2.26,
|
1768 |
+
"learning_rate": 7.198333333333333e-07,
|
1769 |
+
"loss": 0.0928,
|
1770 |
+
"step": 7050
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 2.26,
|
1774 |
+
"learning_rate": 7.184444444444444e-07,
|
1775 |
+
"loss": 0.0895,
|
1776 |
+
"step": 7075
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 2.27,
|
1780 |
+
"learning_rate": 7.170555555555555e-07,
|
1781 |
+
"loss": 0.0949,
|
1782 |
+
"step": 7100
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 2.28,
|
1786 |
+
"learning_rate": 7.156666666666667e-07,
|
1787 |
+
"loss": 0.09,
|
1788 |
+
"step": 7125
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 2.29,
|
1792 |
+
"learning_rate": 7.142777777777778e-07,
|
1793 |
+
"loss": 0.0794,
|
1794 |
+
"step": 7150
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 2.3,
|
1798 |
+
"learning_rate": 7.128888888888889e-07,
|
1799 |
+
"loss": 0.0945,
|
1800 |
+
"step": 7175
|
1801 |
+
},
|
1802 |
+
{
|
1803 |
+
"epoch": 2.3,
|
1804 |
+
"learning_rate": 7.115e-07,
|
1805 |
+
"loss": 0.0906,
|
1806 |
+
"step": 7200
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 2.31,
|
1810 |
+
"learning_rate": 7.101111111111111e-07,
|
1811 |
+
"loss": 0.0972,
|
1812 |
+
"step": 7225
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 2.32,
|
1816 |
+
"learning_rate": 7.087222222222222e-07,
|
1817 |
+
"loss": 0.0922,
|
1818 |
+
"step": 7250
|
1819 |
+
},
|
1820 |
+
{
|
1821 |
+
"epoch": 2.33,
|
1822 |
+
"learning_rate": 7.073333333333333e-07,
|
1823 |
+
"loss": 0.091,
|
1824 |
+
"step": 7275
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 2.34,
|
1828 |
+
"learning_rate": 7.059444444444445e-07,
|
1829 |
+
"loss": 0.0981,
|
1830 |
+
"step": 7300
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 2.34,
|
1834 |
+
"learning_rate": 7.045555555555556e-07,
|
1835 |
+
"loss": 0.0913,
|
1836 |
+
"step": 7325
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 2.35,
|
1840 |
+
"learning_rate": 7.031666666666667e-07,
|
1841 |
+
"loss": 0.0955,
|
1842 |
+
"step": 7350
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 2.36,
|
1846 |
+
"learning_rate": 7.017777777777777e-07,
|
1847 |
+
"loss": 0.0918,
|
1848 |
+
"step": 7375
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 2.37,
|
1852 |
+
"learning_rate": 7.003888888888888e-07,
|
1853 |
+
"loss": 0.0991,
|
1854 |
+
"step": 7400
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 2.38,
|
1858 |
+
"learning_rate": 6.989999999999999e-07,
|
1859 |
+
"loss": 0.0926,
|
1860 |
+
"step": 7425
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 2.38,
|
1864 |
+
"learning_rate": 6.97611111111111e-07,
|
1865 |
+
"loss": 0.0999,
|
1866 |
+
"step": 7450
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 2.39,
|
1870 |
+
"learning_rate": 6.962222222222222e-07,
|
1871 |
+
"loss": 0.0857,
|
1872 |
+
"step": 7475
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 2.4,
|
1876 |
+
"learning_rate": 6.948333333333333e-07,
|
1877 |
+
"loss": 0.0948,
|
1878 |
+
"step": 7500
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 2.41,
|
1882 |
+
"learning_rate": 6.934444444444444e-07,
|
1883 |
+
"loss": 0.0961,
|
1884 |
+
"step": 7525
|
1885 |
+
},
|
1886 |
+
{
|
1887 |
+
"epoch": 2.42,
|
1888 |
+
"learning_rate": 6.920555555555555e-07,
|
1889 |
+
"loss": 0.0926,
|
1890 |
+
"step": 7550
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 2.42,
|
1894 |
+
"learning_rate": 6.906666666666666e-07,
|
1895 |
+
"loss": 0.0936,
|
1896 |
+
"step": 7575
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 2.43,
|
1900 |
+
"learning_rate": 6.892777777777777e-07,
|
1901 |
+
"loss": 0.089,
|
1902 |
+
"step": 7600
|
1903 |
+
},
|
1904 |
+
{
|
1905 |
+
"epoch": 2.44,
|
1906 |
+
"learning_rate": 6.879444444444444e-07,
|
1907 |
+
"loss": 0.0931,
|
1908 |
+
"step": 7625
|
1909 |
+
},
|
1910 |
+
{
|
1911 |
+
"epoch": 2.45,
|
1912 |
+
"learning_rate": 6.865555555555555e-07,
|
1913 |
+
"loss": 0.0931,
|
1914 |
+
"step": 7650
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 2.46,
|
1918 |
+
"learning_rate": 6.851666666666667e-07,
|
1919 |
+
"loss": 0.0924,
|
1920 |
+
"step": 7675
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 2.46,
|
1924 |
+
"learning_rate": 6.837777777777778e-07,
|
1925 |
+
"loss": 0.0904,
|
1926 |
+
"step": 7700
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 2.47,
|
1930 |
+
"learning_rate": 6.823888888888889e-07,
|
1931 |
+
"loss": 0.1014,
|
1932 |
+
"step": 7725
|
1933 |
+
},
|
1934 |
+
{
|
1935 |
+
"epoch": 2.48,
|
1936 |
+
"learning_rate": 6.81e-07,
|
1937 |
+
"loss": 0.0919,
|
1938 |
+
"step": 7750
|
1939 |
+
},
|
1940 |
+
{
|
1941 |
+
"epoch": 2.49,
|
1942 |
+
"learning_rate": 6.796111111111111e-07,
|
1943 |
+
"loss": 0.0939,
|
1944 |
+
"step": 7775
|
1945 |
+
},
|
1946 |
+
{
|
1947 |
+
"epoch": 2.5,
|
1948 |
+
"learning_rate": 6.782222222222221e-07,
|
1949 |
+
"loss": 0.0941,
|
1950 |
+
"step": 7800
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 2.5,
|
1954 |
+
"learning_rate": 6.768333333333332e-07,
|
1955 |
+
"loss": 0.0847,
|
1956 |
+
"step": 7825
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 2.51,
|
1960 |
+
"learning_rate": 6.754444444444443e-07,
|
1961 |
+
"loss": 0.0895,
|
1962 |
+
"step": 7850
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 2.52,
|
1966 |
+
"learning_rate": 6.740555555555555e-07,
|
1967 |
+
"loss": 0.0973,
|
1968 |
+
"step": 7875
|
1969 |
+
},
|
1970 |
+
{
|
1971 |
+
"epoch": 2.53,
|
1972 |
+
"learning_rate": 6.726666666666666e-07,
|
1973 |
+
"loss": 0.0916,
|
1974 |
+
"step": 7900
|
1975 |
+
},
|
1976 |
+
{
|
1977 |
+
"epoch": 2.54,
|
1978 |
+
"learning_rate": 6.712777777777777e-07,
|
1979 |
+
"loss": 0.0934,
|
1980 |
+
"step": 7925
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 2.54,
|
1984 |
+
"learning_rate": 6.698888888888888e-07,
|
1985 |
+
"loss": 0.0956,
|
1986 |
+
"step": 7950
|
1987 |
+
},
|
1988 |
+
{
|
1989 |
+
"epoch": 2.55,
|
1990 |
+
"learning_rate": 6.684999999999999e-07,
|
1991 |
+
"loss": 0.0901,
|
1992 |
+
"step": 7975
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 2.56,
|
1996 |
+
"learning_rate": 6.67111111111111e-07,
|
1997 |
+
"loss": 0.1005,
|
1998 |
+
"step": 8000
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 2.56,
|
2002 |
+
"eval_cer": 1.0554799240323367,
|
2003 |
+
"eval_loss": 0.13198651373386383,
|
2004 |
+
"eval_runtime": 941.8725,
|
2005 |
+
"eval_samples_per_second": 1.062,
|
2006 |
+
"eval_steps_per_second": 0.133,
|
2007 |
+
"eval_wer": 3.7010962486171173,
|
2008 |
+
"step": 8000
|
2009 |
+
},
|
2010 |
+
{
|
2011 |
+
"epoch": 2.56,
|
2012 |
+
"step": 8000,
|
2013 |
+
"total_flos": 5.435275349827584e+20,
|
2014 |
+
"train_loss": 0.1500811086446047,
|
2015 |
+
"train_runtime": 62196.6088,
|
2016 |
+
"train_samples_per_second": 10.29,
|
2017 |
+
"train_steps_per_second": 0.322
|
2018 |
+
}
|
2019 |
+
],
|
2020 |
+
"max_steps": 20000,
|
2021 |
+
"num_train_epochs": 7,
|
2022 |
+
"total_flos": 5.435275349827584e+20,
|
2023 |
+
"trial_name": null,
|
2024 |
+
"trial_params": null
|
2025 |
+
}
|