elsayedissa
commited on
Commit
•
69f9a47
1
Parent(s):
a8f9c20
Training in progress, step 1000
Browse files- all_results.json +12 -0
- eval_results.json +8 -0
- pytorch_model.bin +1 -1
- runs/Dec14_11-19-02_i18n3.ocelote.hpc.arizona.edu/events.out.tfevents.1671225976.i18n3.ocelote.hpc.arizona.edu +3 -0
- runs/Dec17_07-34-52_i16n4.ocelote.hpc.arizona.edu/1671287881.611188/events.out.tfevents.1671287881.i16n4.ocelote.hpc.arizona.edu +3 -0
- runs/Dec17_07-34-52_i16n4.ocelote.hpc.arizona.edu/events.out.tfevents.1671287881.i16n4.ocelote.hpc.arizona.edu +3 -0
- train_results.json +7 -0
- trainer_state.json +3760 -0
- training_args.bin +1 -1
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.95,
|
3 |
+
"eval_loss": 0.37756896018981934,
|
4 |
+
"eval_runtime": 4313.7855,
|
5 |
+
"eval_samples_per_second": 1.799,
|
6 |
+
"eval_steps_per_second": 0.225,
|
7 |
+
"eval_wer": 20.80037591040802,
|
8 |
+
"train_loss": 0.7551171837806702,
|
9 |
+
"train_runtime": 171060.4893,
|
10 |
+
"train_samples_per_second": 1.403,
|
11 |
+
"train_steps_per_second": 0.088
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.95,
|
3 |
+
"eval_loss": 0.37756896018981934,
|
4 |
+
"eval_runtime": 4313.7855,
|
5 |
+
"eval_samples_per_second": 1.799,
|
6 |
+
"eval_steps_per_second": 0.225,
|
7 |
+
"eval_wer": 20.80037591040802
|
8 |
+
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 967102601
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5077eec3caba75244229c408112ea1ad68d3c71e88b16665c07ecb26575f7e8
|
3 |
size 967102601
|
runs/Dec14_11-19-02_i18n3.ocelote.hpc.arizona.edu/events.out.tfevents.1671225976.i18n3.ocelote.hpc.arizona.edu
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:31be477706a1189442fd850c3cf9a17c6d782802664648b9e8b248cb2ac112cd
|
3 |
+
size 358
|
runs/Dec17_07-34-52_i16n4.ocelote.hpc.arizona.edu/1671287881.611188/events.out.tfevents.1671287881.i16n4.ocelote.hpc.arizona.edu
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6a1bc402e1d55ef98bbbe15b168a68ff0eab2188600cf59d2eab1447ba08f527
|
3 |
+
size 5585
|
runs/Dec17_07-34-52_i16n4.ocelote.hpc.arizona.edu/events.out.tfevents.1671287881.i16n4.ocelote.hpc.arizona.edu
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7ff3a4ac1e9fa1b00b836ae64abca762c0b122165a71fa6a9aea49edd46640a4
|
3 |
+
size 10592
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.95,
|
3 |
+
"train_loss": 0.7551171837806702,
|
4 |
+
"train_runtime": 171060.4893,
|
5 |
+
"train_samples_per_second": 1.403,
|
6 |
+
"train_steps_per_second": 0.088
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3760 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.951092611862643,
|
5 |
+
"global_step": 15000,
|
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": 2e-05,
|
13 |
+
"loss": 3.1319,
|
14 |
+
"step": 25
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 4.4999999999999996e-05,
|
19 |
+
"loss": 0.7401,
|
20 |
+
"step": 50
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.01,
|
24 |
+
"learning_rate": 7.000000000000001e-05,
|
25 |
+
"loss": 0.4057,
|
26 |
+
"step": 75
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.01,
|
30 |
+
"learning_rate": 9.5e-05,
|
31 |
+
"loss": 0.4962,
|
32 |
+
"step": 100
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.02,
|
36 |
+
"learning_rate": 0.00012,
|
37 |
+
"loss": 0.5871,
|
38 |
+
"step": 125
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.02,
|
42 |
+
"learning_rate": 0.000145,
|
43 |
+
"loss": 0.7396,
|
44 |
+
"step": 150
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.02,
|
48 |
+
"learning_rate": 0.00017,
|
49 |
+
"loss": 0.8646,
|
50 |
+
"step": 175
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.03,
|
54 |
+
"learning_rate": 0.00019500000000000002,
|
55 |
+
"loss": 0.9588,
|
56 |
+
"step": 200
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.03,
|
60 |
+
"learning_rate": 0.00022,
|
61 |
+
"loss": 1.1775,
|
62 |
+
"step": 225
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.03,
|
66 |
+
"learning_rate": 0.000245,
|
67 |
+
"loss": 1.3102,
|
68 |
+
"step": 250
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.04,
|
72 |
+
"learning_rate": 0.00027,
|
73 |
+
"loss": 1.3424,
|
74 |
+
"step": 275
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.04,
|
78 |
+
"learning_rate": 0.000295,
|
79 |
+
"loss": 1.5322,
|
80 |
+
"step": 300
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.04,
|
84 |
+
"learning_rate": 0.00032,
|
85 |
+
"loss": 1.5378,
|
86 |
+
"step": 325
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.05,
|
90 |
+
"learning_rate": 0.000345,
|
91 |
+
"loss": 1.7126,
|
92 |
+
"step": 350
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.05,
|
96 |
+
"learning_rate": 0.00037,
|
97 |
+
"loss": 1.8599,
|
98 |
+
"step": 375
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.05,
|
102 |
+
"learning_rate": 0.000395,
|
103 |
+
"loss": 1.9935,
|
104 |
+
"step": 400
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.06,
|
108 |
+
"learning_rate": 0.00042,
|
109 |
+
"loss": 2.1787,
|
110 |
+
"step": 425
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.06,
|
114 |
+
"learning_rate": 0.00044500000000000003,
|
115 |
+
"loss": 2.2732,
|
116 |
+
"step": 450
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.06,
|
120 |
+
"learning_rate": 0.00047,
|
121 |
+
"loss": 2.3751,
|
122 |
+
"step": 475
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.07,
|
126 |
+
"learning_rate": 0.000495,
|
127 |
+
"loss": 2.3598,
|
128 |
+
"step": 500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.07,
|
132 |
+
"learning_rate": 0.0004993103448275862,
|
133 |
+
"loss": 2.4274,
|
134 |
+
"step": 525
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.07,
|
138 |
+
"learning_rate": 0.0004984482758620689,
|
139 |
+
"loss": 2.4939,
|
140 |
+
"step": 550
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.07,
|
144 |
+
"learning_rate": 0.0004975862068965517,
|
145 |
+
"loss": 2.5545,
|
146 |
+
"step": 575
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.08,
|
150 |
+
"learning_rate": 0.0004967241379310345,
|
151 |
+
"loss": 2.4871,
|
152 |
+
"step": 600
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.08,
|
156 |
+
"learning_rate": 0.0004958620689655172,
|
157 |
+
"loss": 2.5471,
|
158 |
+
"step": 625
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.08,
|
162 |
+
"learning_rate": 0.000495,
|
163 |
+
"loss": 2.5501,
|
164 |
+
"step": 650
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.09,
|
168 |
+
"learning_rate": 0.0004941379310344828,
|
169 |
+
"loss": 2.5606,
|
170 |
+
"step": 675
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.09,
|
174 |
+
"learning_rate": 0.0004932758620689655,
|
175 |
+
"loss": 2.4623,
|
176 |
+
"step": 700
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.09,
|
180 |
+
"learning_rate": 0.0004924137931034483,
|
181 |
+
"loss": 2.5275,
|
182 |
+
"step": 725
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.1,
|
186 |
+
"learning_rate": 0.000491551724137931,
|
187 |
+
"loss": 2.5476,
|
188 |
+
"step": 750
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.1,
|
192 |
+
"learning_rate": 0.0004906896551724138,
|
193 |
+
"loss": 2.3168,
|
194 |
+
"step": 775
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.1,
|
198 |
+
"learning_rate": 0.0004898275862068966,
|
199 |
+
"loss": 2.5242,
|
200 |
+
"step": 800
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.11,
|
204 |
+
"learning_rate": 0.0004889655172413793,
|
205 |
+
"loss": 2.3614,
|
206 |
+
"step": 825
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.11,
|
210 |
+
"learning_rate": 0.00048810344827586205,
|
211 |
+
"loss": 2.3791,
|
212 |
+
"step": 850
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.11,
|
216 |
+
"learning_rate": 0.00048724137931034487,
|
217 |
+
"loss": 2.3276,
|
218 |
+
"step": 875
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.12,
|
222 |
+
"learning_rate": 0.0004863793103448276,
|
223 |
+
"loss": 2.2025,
|
224 |
+
"step": 900
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.12,
|
228 |
+
"learning_rate": 0.00048551724137931035,
|
229 |
+
"loss": 2.1829,
|
230 |
+
"step": 925
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.12,
|
234 |
+
"learning_rate": 0.0004846551724137931,
|
235 |
+
"loss": 2.1973,
|
236 |
+
"step": 950
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.13,
|
240 |
+
"learning_rate": 0.0004837931034482759,
|
241 |
+
"loss": 2.1836,
|
242 |
+
"step": 975
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.13,
|
246 |
+
"learning_rate": 0.00048293103448275864,
|
247 |
+
"loss": 2.2671,
|
248 |
+
"step": 1000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.13,
|
252 |
+
"eval_loss": 2.2107748985290527,
|
253 |
+
"eval_runtime": 4394.6691,
|
254 |
+
"eval_samples_per_second": 1.766,
|
255 |
+
"eval_steps_per_second": 0.221,
|
256 |
+
"eval_wer": 76.26673976035711,
|
257 |
+
"step": 1000
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.13,
|
261 |
+
"learning_rate": 0.0004820689655172414,
|
262 |
+
"loss": 2.0956,
|
263 |
+
"step": 1025
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.14,
|
267 |
+
"learning_rate": 0.00048120689655172416,
|
268 |
+
"loss": 2.1123,
|
269 |
+
"step": 1050
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.14,
|
273 |
+
"learning_rate": 0.0004803448275862069,
|
274 |
+
"loss": 2.1222,
|
275 |
+
"step": 1075
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.14,
|
279 |
+
"learning_rate": 0.0004794827586206897,
|
280 |
+
"loss": 2.0646,
|
281 |
+
"step": 1100
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.15,
|
285 |
+
"learning_rate": 0.0004786206896551724,
|
286 |
+
"loss": 2.0799,
|
287 |
+
"step": 1125
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 0.15,
|
291 |
+
"learning_rate": 0.0004777586206896552,
|
292 |
+
"loss": 2.1963,
|
293 |
+
"step": 1150
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 0.15,
|
297 |
+
"learning_rate": 0.00047689655172413793,
|
298 |
+
"loss": 2.083,
|
299 |
+
"step": 1175
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.16,
|
303 |
+
"learning_rate": 0.0004760344827586207,
|
304 |
+
"loss": 2.2261,
|
305 |
+
"step": 1200
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.16,
|
309 |
+
"learning_rate": 0.00047517241379310346,
|
310 |
+
"loss": 1.9378,
|
311 |
+
"step": 1225
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.16,
|
315 |
+
"learning_rate": 0.0004743103448275862,
|
316 |
+
"loss": 2.0096,
|
317 |
+
"step": 1250
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.17,
|
321 |
+
"learning_rate": 0.00047344827586206893,
|
322 |
+
"loss": 2.054,
|
323 |
+
"step": 1275
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.17,
|
327 |
+
"learning_rate": 0.00047258620689655175,
|
328 |
+
"loss": 1.9917,
|
329 |
+
"step": 1300
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.17,
|
333 |
+
"learning_rate": 0.00047172413793103446,
|
334 |
+
"loss": 1.9676,
|
335 |
+
"step": 1325
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.18,
|
339 |
+
"learning_rate": 0.0004708620689655173,
|
340 |
+
"loss": 1.9742,
|
341 |
+
"step": 1350
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.18,
|
345 |
+
"learning_rate": 0.00047,
|
346 |
+
"loss": 1.9385,
|
347 |
+
"step": 1375
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.18,
|
351 |
+
"learning_rate": 0.00046913793103448275,
|
352 |
+
"loss": 2.0315,
|
353 |
+
"step": 1400
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.19,
|
357 |
+
"learning_rate": 0.00046827586206896557,
|
358 |
+
"loss": 2.0112,
|
359 |
+
"step": 1425
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.19,
|
363 |
+
"learning_rate": 0.0004674137931034483,
|
364 |
+
"loss": 1.9804,
|
365 |
+
"step": 1450
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.19,
|
369 |
+
"learning_rate": 0.00046655172413793104,
|
370 |
+
"loss": 1.9427,
|
371 |
+
"step": 1475
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 0.2,
|
375 |
+
"learning_rate": 0.0004656896551724138,
|
376 |
+
"loss": 1.9456,
|
377 |
+
"step": 1500
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.2,
|
381 |
+
"learning_rate": 0.00046482758620689657,
|
382 |
+
"loss": 1.945,
|
383 |
+
"step": 1525
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.2,
|
387 |
+
"learning_rate": 0.00046396551724137933,
|
388 |
+
"loss": 1.994,
|
389 |
+
"step": 1550
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.2,
|
393 |
+
"learning_rate": 0.0004631034482758621,
|
394 |
+
"loss": 1.8514,
|
395 |
+
"step": 1575
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.21,
|
399 |
+
"learning_rate": 0.0004622413793103448,
|
400 |
+
"loss": 1.8197,
|
401 |
+
"step": 1600
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.21,
|
405 |
+
"learning_rate": 0.0004613793103448276,
|
406 |
+
"loss": 1.7805,
|
407 |
+
"step": 1625
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 0.21,
|
411 |
+
"learning_rate": 0.00046051724137931033,
|
412 |
+
"loss": 1.6539,
|
413 |
+
"step": 1650
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.22,
|
417 |
+
"learning_rate": 0.0004596551724137931,
|
418 |
+
"loss": 1.7395,
|
419 |
+
"step": 1675
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.22,
|
423 |
+
"learning_rate": 0.00045879310344827586,
|
424 |
+
"loss": 1.668,
|
425 |
+
"step": 1700
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.22,
|
429 |
+
"learning_rate": 0.0004579310344827586,
|
430 |
+
"loss": 1.7438,
|
431 |
+
"step": 1725
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.23,
|
435 |
+
"learning_rate": 0.0004570689655172414,
|
436 |
+
"loss": 1.6567,
|
437 |
+
"step": 1750
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.23,
|
441 |
+
"learning_rate": 0.00045620689655172415,
|
442 |
+
"loss": 1.7735,
|
443 |
+
"step": 1775
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.23,
|
447 |
+
"learning_rate": 0.0004553448275862069,
|
448 |
+
"loss": 1.6275,
|
449 |
+
"step": 1800
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.24,
|
453 |
+
"learning_rate": 0.0004544827586206897,
|
454 |
+
"loss": 1.6819,
|
455 |
+
"step": 1825
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 0.24,
|
459 |
+
"learning_rate": 0.00045362068965517244,
|
460 |
+
"loss": 1.6431,
|
461 |
+
"step": 1850
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.24,
|
465 |
+
"learning_rate": 0.00045275862068965515,
|
466 |
+
"loss": 1.6827,
|
467 |
+
"step": 1875
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 0.25,
|
471 |
+
"learning_rate": 0.00045189655172413797,
|
472 |
+
"loss": 1.5828,
|
473 |
+
"step": 1900
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.25,
|
477 |
+
"learning_rate": 0.0004510344827586207,
|
478 |
+
"loss": 1.5717,
|
479 |
+
"step": 1925
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.25,
|
483 |
+
"learning_rate": 0.0004501724137931035,
|
484 |
+
"loss": 1.5818,
|
485 |
+
"step": 1950
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.26,
|
489 |
+
"learning_rate": 0.0004493103448275862,
|
490 |
+
"loss": 1.5846,
|
491 |
+
"step": 1975
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.26,
|
495 |
+
"learning_rate": 0.000448448275862069,
|
496 |
+
"loss": 1.4465,
|
497 |
+
"step": 2000
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 0.26,
|
501 |
+
"eval_loss": 1.6056782007217407,
|
502 |
+
"eval_runtime": 4475.9307,
|
503 |
+
"eval_samples_per_second": 1.734,
|
504 |
+
"eval_steps_per_second": 0.217,
|
505 |
+
"eval_wer": 67.87532304800689,
|
506 |
+
"step": 2000
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.26,
|
510 |
+
"learning_rate": 0.00044758620689655174,
|
511 |
+
"loss": 1.5138,
|
512 |
+
"step": 2025
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.27,
|
516 |
+
"learning_rate": 0.0004467241379310345,
|
517 |
+
"loss": 1.4,
|
518 |
+
"step": 2050
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.27,
|
522 |
+
"learning_rate": 0.0004458620689655172,
|
523 |
+
"loss": 1.5535,
|
524 |
+
"step": 2075
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.27,
|
528 |
+
"learning_rate": 0.00044500000000000003,
|
529 |
+
"loss": 1.4993,
|
530 |
+
"step": 2100
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.28,
|
534 |
+
"learning_rate": 0.00044413793103448274,
|
535 |
+
"loss": 1.4173,
|
536 |
+
"step": 2125
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.28,
|
540 |
+
"learning_rate": 0.00044327586206896556,
|
541 |
+
"loss": 1.4179,
|
542 |
+
"step": 2150
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.28,
|
546 |
+
"learning_rate": 0.00044241379310344827,
|
547 |
+
"loss": 1.4607,
|
548 |
+
"step": 2175
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.29,
|
552 |
+
"learning_rate": 0.00044155172413793103,
|
553 |
+
"loss": 1.3994,
|
554 |
+
"step": 2200
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.29,
|
558 |
+
"learning_rate": 0.00044068965517241385,
|
559 |
+
"loss": 1.3698,
|
560 |
+
"step": 2225
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.29,
|
564 |
+
"learning_rate": 0.00043982758620689656,
|
565 |
+
"loss": 1.3497,
|
566 |
+
"step": 2250
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.3,
|
570 |
+
"learning_rate": 0.0004389655172413793,
|
571 |
+
"loss": 1.3208,
|
572 |
+
"step": 2275
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.3,
|
576 |
+
"learning_rate": 0.0004381034482758621,
|
577 |
+
"loss": 1.3414,
|
578 |
+
"step": 2300
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.3,
|
582 |
+
"learning_rate": 0.00043724137931034485,
|
583 |
+
"loss": 1.3346,
|
584 |
+
"step": 2325
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.31,
|
588 |
+
"learning_rate": 0.00043637931034482756,
|
589 |
+
"loss": 1.3796,
|
590 |
+
"step": 2350
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.31,
|
594 |
+
"learning_rate": 0.0004355172413793104,
|
595 |
+
"loss": 1.3769,
|
596 |
+
"step": 2375
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.31,
|
600 |
+
"learning_rate": 0.0004346551724137931,
|
601 |
+
"loss": 1.3307,
|
602 |
+
"step": 2400
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.32,
|
606 |
+
"learning_rate": 0.0004337931034482759,
|
607 |
+
"loss": 1.3188,
|
608 |
+
"step": 2425
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.32,
|
612 |
+
"learning_rate": 0.0004329310344827586,
|
613 |
+
"loss": 1.2849,
|
614 |
+
"step": 2450
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.32,
|
618 |
+
"learning_rate": 0.0004320689655172414,
|
619 |
+
"loss": 1.2577,
|
620 |
+
"step": 2475
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.33,
|
624 |
+
"learning_rate": 0.00043120689655172414,
|
625 |
+
"loss": 1.2991,
|
626 |
+
"step": 2500
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.33,
|
630 |
+
"learning_rate": 0.0004303448275862069,
|
631 |
+
"loss": 1.2529,
|
632 |
+
"step": 2525
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.33,
|
636 |
+
"learning_rate": 0.0004294827586206896,
|
637 |
+
"loss": 1.2531,
|
638 |
+
"step": 2550
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.33,
|
642 |
+
"learning_rate": 0.00042862068965517243,
|
643 |
+
"loss": 1.2895,
|
644 |
+
"step": 2575
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.34,
|
648 |
+
"learning_rate": 0.0004277586206896552,
|
649 |
+
"loss": 1.2486,
|
650 |
+
"step": 2600
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.34,
|
654 |
+
"learning_rate": 0.00042689655172413796,
|
655 |
+
"loss": 1.2277,
|
656 |
+
"step": 2625
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.34,
|
660 |
+
"learning_rate": 0.0004260344827586207,
|
661 |
+
"loss": 1.2134,
|
662 |
+
"step": 2650
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.35,
|
666 |
+
"learning_rate": 0.00042517241379310343,
|
667 |
+
"loss": 1.2484,
|
668 |
+
"step": 2675
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.35,
|
672 |
+
"learning_rate": 0.00042431034482758625,
|
673 |
+
"loss": 1.1762,
|
674 |
+
"step": 2700
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.35,
|
678 |
+
"learning_rate": 0.00042344827586206896,
|
679 |
+
"loss": 1.1954,
|
680 |
+
"step": 2725
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.36,
|
684 |
+
"learning_rate": 0.0004225862068965517,
|
685 |
+
"loss": 1.1791,
|
686 |
+
"step": 2750
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.36,
|
690 |
+
"learning_rate": 0.0004217241379310345,
|
691 |
+
"loss": 1.2085,
|
692 |
+
"step": 2775
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.36,
|
696 |
+
"learning_rate": 0.00042086206896551725,
|
697 |
+
"loss": 1.1596,
|
698 |
+
"step": 2800
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.37,
|
702 |
+
"learning_rate": 0.00042,
|
703 |
+
"loss": 1.2118,
|
704 |
+
"step": 2825
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.37,
|
708 |
+
"learning_rate": 0.0004191379310344828,
|
709 |
+
"loss": 1.1266,
|
710 |
+
"step": 2850
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.37,
|
714 |
+
"learning_rate": 0.0004182758620689655,
|
715 |
+
"loss": 1.1305,
|
716 |
+
"step": 2875
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.38,
|
720 |
+
"learning_rate": 0.0004174137931034483,
|
721 |
+
"loss": 1.2088,
|
722 |
+
"step": 2900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.38,
|
726 |
+
"learning_rate": 0.000416551724137931,
|
727 |
+
"loss": 1.2252,
|
728 |
+
"step": 2925
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.38,
|
732 |
+
"learning_rate": 0.0004156896551724138,
|
733 |
+
"loss": 1.1721,
|
734 |
+
"step": 2950
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.39,
|
738 |
+
"learning_rate": 0.00041482758620689655,
|
739 |
+
"loss": 1.2093,
|
740 |
+
"step": 2975
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.39,
|
744 |
+
"learning_rate": 0.0004139655172413793,
|
745 |
+
"loss": 1.0997,
|
746 |
+
"step": 3000
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.39,
|
750 |
+
"eval_loss": 1.1928162574768066,
|
751 |
+
"eval_runtime": 4384.3449,
|
752 |
+
"eval_samples_per_second": 1.77,
|
753 |
+
"eval_steps_per_second": 0.221,
|
754 |
+
"eval_wer": 54.243349779413684,
|
755 |
+
"step": 3000
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 0.39,
|
759 |
+
"learning_rate": 0.00041310344827586213,
|
760 |
+
"loss": 1.1659,
|
761 |
+
"step": 3025
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 0.4,
|
765 |
+
"learning_rate": 0.00041224137931034484,
|
766 |
+
"loss": 1.0854,
|
767 |
+
"step": 3050
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.4,
|
771 |
+
"learning_rate": 0.0004113793103448276,
|
772 |
+
"loss": 1.1169,
|
773 |
+
"step": 3075
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 0.4,
|
777 |
+
"learning_rate": 0.00041051724137931037,
|
778 |
+
"loss": 1.1124,
|
779 |
+
"step": 3100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.41,
|
783 |
+
"learning_rate": 0.00040965517241379313,
|
784 |
+
"loss": 1.1342,
|
785 |
+
"step": 3125
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.41,
|
789 |
+
"learning_rate": 0.00040879310344827584,
|
790 |
+
"loss": 1.151,
|
791 |
+
"step": 3150
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 0.41,
|
795 |
+
"learning_rate": 0.00040793103448275866,
|
796 |
+
"loss": 1.0429,
|
797 |
+
"step": 3175
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 0.42,
|
801 |
+
"learning_rate": 0.00040706896551724137,
|
802 |
+
"loss": 1.0763,
|
803 |
+
"step": 3200
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.42,
|
807 |
+
"learning_rate": 0.0004062068965517242,
|
808 |
+
"loss": 1.0854,
|
809 |
+
"step": 3225
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.42,
|
813 |
+
"learning_rate": 0.0004053448275862069,
|
814 |
+
"loss": 1.0552,
|
815 |
+
"step": 3250
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 0.43,
|
819 |
+
"learning_rate": 0.00040448275862068966,
|
820 |
+
"loss": 1.1546,
|
821 |
+
"step": 3275
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.43,
|
825 |
+
"learning_rate": 0.0004036206896551724,
|
826 |
+
"loss": 1.0574,
|
827 |
+
"step": 3300
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 0.43,
|
831 |
+
"learning_rate": 0.0004027586206896552,
|
832 |
+
"loss": 1.0368,
|
833 |
+
"step": 3325
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.44,
|
837 |
+
"learning_rate": 0.0004018965517241379,
|
838 |
+
"loss": 1.0203,
|
839 |
+
"step": 3350
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 0.44,
|
843 |
+
"learning_rate": 0.0004010344827586207,
|
844 |
+
"loss": 1.0167,
|
845 |
+
"step": 3375
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 0.44,
|
849 |
+
"learning_rate": 0.0004001724137931034,
|
850 |
+
"loss": 1.0448,
|
851 |
+
"step": 3400
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 0.45,
|
855 |
+
"learning_rate": 0.0003993103448275862,
|
856 |
+
"loss": 1.0953,
|
857 |
+
"step": 3425
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.45,
|
861 |
+
"learning_rate": 0.000398448275862069,
|
862 |
+
"loss": 1.0192,
|
863 |
+
"step": 3450
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.45,
|
867 |
+
"learning_rate": 0.0003975862068965517,
|
868 |
+
"loss": 1.0239,
|
869 |
+
"step": 3475
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 0.46,
|
873 |
+
"learning_rate": 0.00039672413793103453,
|
874 |
+
"loss": 1.0651,
|
875 |
+
"step": 3500
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 0.46,
|
879 |
+
"learning_rate": 0.00039586206896551724,
|
880 |
+
"loss": 1.0226,
|
881 |
+
"step": 3525
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.46,
|
885 |
+
"learning_rate": 0.000395,
|
886 |
+
"loss": 1.0377,
|
887 |
+
"step": 3550
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"epoch": 0.47,
|
891 |
+
"learning_rate": 0.00039413793103448277,
|
892 |
+
"loss": 0.9857,
|
893 |
+
"step": 3575
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 0.47,
|
897 |
+
"learning_rate": 0.00039327586206896553,
|
898 |
+
"loss": 1.0303,
|
899 |
+
"step": 3600
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.47,
|
903 |
+
"learning_rate": 0.00039241379310344824,
|
904 |
+
"loss": 0.9793,
|
905 |
+
"step": 3625
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.47,
|
909 |
+
"learning_rate": 0.00039155172413793106,
|
910 |
+
"loss": 0.9847,
|
911 |
+
"step": 3650
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.48,
|
915 |
+
"learning_rate": 0.00039068965517241377,
|
916 |
+
"loss": 0.9959,
|
917 |
+
"step": 3675
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 0.48,
|
921 |
+
"learning_rate": 0.0003898275862068966,
|
922 |
+
"loss": 0.9824,
|
923 |
+
"step": 3700
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.48,
|
927 |
+
"learning_rate": 0.0003889655172413793,
|
928 |
+
"loss": 0.9516,
|
929 |
+
"step": 3725
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.49,
|
933 |
+
"learning_rate": 0.00038810344827586206,
|
934 |
+
"loss": 0.9663,
|
935 |
+
"step": 3750
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 0.49,
|
939 |
+
"learning_rate": 0.0003872413793103448,
|
940 |
+
"loss": 0.931,
|
941 |
+
"step": 3775
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 0.49,
|
945 |
+
"learning_rate": 0.0003863793103448276,
|
946 |
+
"loss": 1.0623,
|
947 |
+
"step": 3800
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.5,
|
951 |
+
"learning_rate": 0.00038551724137931035,
|
952 |
+
"loss": 0.9715,
|
953 |
+
"step": 3825
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.5,
|
957 |
+
"learning_rate": 0.0003846551724137931,
|
958 |
+
"loss": 0.9888,
|
959 |
+
"step": 3850
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 0.5,
|
963 |
+
"learning_rate": 0.0003837931034482759,
|
964 |
+
"loss": 0.9638,
|
965 |
+
"step": 3875
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 0.51,
|
969 |
+
"learning_rate": 0.00038293103448275865,
|
970 |
+
"loss": 1.0095,
|
971 |
+
"step": 3900
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 0.51,
|
975 |
+
"learning_rate": 0.0003820689655172414,
|
976 |
+
"loss": 0.9327,
|
977 |
+
"step": 3925
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.51,
|
981 |
+
"learning_rate": 0.0003812068965517241,
|
982 |
+
"loss": 0.9805,
|
983 |
+
"step": 3950
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 0.52,
|
987 |
+
"learning_rate": 0.00038034482758620694,
|
988 |
+
"loss": 0.9266,
|
989 |
+
"step": 3975
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.52,
|
993 |
+
"learning_rate": 0.00037948275862068965,
|
994 |
+
"loss": 0.9389,
|
995 |
+
"step": 4000
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.52,
|
999 |
+
"eval_loss": 1.0020068883895874,
|
1000 |
+
"eval_runtime": 4390.2968,
|
1001 |
+
"eval_samples_per_second": 1.768,
|
1002 |
+
"eval_steps_per_second": 0.221,
|
1003 |
+
"eval_wer": 47.83068368705459,
|
1004 |
+
"step": 4000
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.52,
|
1008 |
+
"learning_rate": 0.0003786206896551724,
|
1009 |
+
"loss": 0.9285,
|
1010 |
+
"step": 4025
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.53,
|
1014 |
+
"learning_rate": 0.0003777586206896552,
|
1015 |
+
"loss": 0.9294,
|
1016 |
+
"step": 4050
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.53,
|
1020 |
+
"learning_rate": 0.00037689655172413794,
|
1021 |
+
"loss": 1.0058,
|
1022 |
+
"step": 4075
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 0.53,
|
1026 |
+
"learning_rate": 0.0003760344827586207,
|
1027 |
+
"loss": 0.967,
|
1028 |
+
"step": 4100
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.54,
|
1032 |
+
"learning_rate": 0.00037517241379310347,
|
1033 |
+
"loss": 0.961,
|
1034 |
+
"step": 4125
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 0.54,
|
1038 |
+
"learning_rate": 0.0003743103448275862,
|
1039 |
+
"loss": 0.9719,
|
1040 |
+
"step": 4150
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 0.54,
|
1044 |
+
"learning_rate": 0.000373448275862069,
|
1045 |
+
"loss": 0.9453,
|
1046 |
+
"step": 4175
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 0.55,
|
1050 |
+
"learning_rate": 0.0003725862068965517,
|
1051 |
+
"loss": 0.9381,
|
1052 |
+
"step": 4200
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.55,
|
1056 |
+
"learning_rate": 0.00037172413793103447,
|
1057 |
+
"loss": 0.8868,
|
1058 |
+
"step": 4225
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.55,
|
1062 |
+
"learning_rate": 0.0003708620689655173,
|
1063 |
+
"loss": 0.9326,
|
1064 |
+
"step": 4250
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 0.56,
|
1068 |
+
"learning_rate": 0.00037,
|
1069 |
+
"loss": 0.8897,
|
1070 |
+
"step": 4275
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 0.56,
|
1074 |
+
"learning_rate": 0.0003691379310344828,
|
1075 |
+
"loss": 0.8873,
|
1076 |
+
"step": 4300
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 0.56,
|
1080 |
+
"learning_rate": 0.0003682758620689655,
|
1081 |
+
"loss": 0.9535,
|
1082 |
+
"step": 4325
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 0.57,
|
1086 |
+
"learning_rate": 0.0003674137931034483,
|
1087 |
+
"loss": 0.9418,
|
1088 |
+
"step": 4350
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.57,
|
1092 |
+
"learning_rate": 0.00036655172413793105,
|
1093 |
+
"loss": 0.9324,
|
1094 |
+
"step": 4375
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.57,
|
1098 |
+
"learning_rate": 0.0003656896551724138,
|
1099 |
+
"loss": 0.8473,
|
1100 |
+
"step": 4400
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 0.58,
|
1104 |
+
"learning_rate": 0.0003648275862068965,
|
1105 |
+
"loss": 0.8834,
|
1106 |
+
"step": 4425
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 0.58,
|
1110 |
+
"learning_rate": 0.00036396551724137934,
|
1111 |
+
"loss": 0.8658,
|
1112 |
+
"step": 4450
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.58,
|
1116 |
+
"learning_rate": 0.00036310344827586205,
|
1117 |
+
"loss": 0.8875,
|
1118 |
+
"step": 4475
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.59,
|
1122 |
+
"learning_rate": 0.00036224137931034487,
|
1123 |
+
"loss": 0.9032,
|
1124 |
+
"step": 4500
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 0.59,
|
1128 |
+
"learning_rate": 0.0003613793103448276,
|
1129 |
+
"loss": 0.8691,
|
1130 |
+
"step": 4525
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 0.59,
|
1134 |
+
"learning_rate": 0.00036051724137931034,
|
1135 |
+
"loss": 0.9029,
|
1136 |
+
"step": 4550
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.6,
|
1140 |
+
"learning_rate": 0.0003596551724137931,
|
1141 |
+
"loss": 0.9048,
|
1142 |
+
"step": 4575
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 0.6,
|
1146 |
+
"learning_rate": 0.00035879310344827587,
|
1147 |
+
"loss": 0.8637,
|
1148 |
+
"step": 4600
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 0.6,
|
1152 |
+
"learning_rate": 0.00035793103448275863,
|
1153 |
+
"loss": 0.9253,
|
1154 |
+
"step": 4625
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.6,
|
1158 |
+
"learning_rate": 0.0003570689655172414,
|
1159 |
+
"loss": 0.8934,
|
1160 |
+
"step": 4650
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.61,
|
1164 |
+
"learning_rate": 0.00035620689655172416,
|
1165 |
+
"loss": 0.812,
|
1166 |
+
"step": 4675
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 0.61,
|
1170 |
+
"learning_rate": 0.00035534482758620687,
|
1171 |
+
"loss": 0.8735,
|
1172 |
+
"step": 4700
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.61,
|
1176 |
+
"learning_rate": 0.0003544827586206897,
|
1177 |
+
"loss": 0.8427,
|
1178 |
+
"step": 4725
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.62,
|
1182 |
+
"learning_rate": 0.0003536206896551724,
|
1183 |
+
"loss": 0.8414,
|
1184 |
+
"step": 4750
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 0.62,
|
1188 |
+
"learning_rate": 0.0003527586206896552,
|
1189 |
+
"loss": 0.8734,
|
1190 |
+
"step": 4775
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 0.62,
|
1194 |
+
"learning_rate": 0.0003518965517241379,
|
1195 |
+
"loss": 0.8303,
|
1196 |
+
"step": 4800
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.63,
|
1200 |
+
"learning_rate": 0.0003510344827586207,
|
1201 |
+
"loss": 0.8463,
|
1202 |
+
"step": 4825
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.63,
|
1206 |
+
"learning_rate": 0.00035017241379310345,
|
1207 |
+
"loss": 0.821,
|
1208 |
+
"step": 4850
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 0.63,
|
1212 |
+
"learning_rate": 0.0003493103448275862,
|
1213 |
+
"loss": 0.7878,
|
1214 |
+
"step": 4875
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.64,
|
1218 |
+
"learning_rate": 0.00034844827586206893,
|
1219 |
+
"loss": 0.8106,
|
1220 |
+
"step": 4900
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.64,
|
1224 |
+
"learning_rate": 0.00034758620689655175,
|
1225 |
+
"loss": 0.8263,
|
1226 |
+
"step": 4925
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 0.64,
|
1230 |
+
"learning_rate": 0.00034672413793103446,
|
1231 |
+
"loss": 0.8215,
|
1232 |
+
"step": 4950
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 0.65,
|
1236 |
+
"learning_rate": 0.0003458620689655173,
|
1237 |
+
"loss": 0.8063,
|
1238 |
+
"step": 4975
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 0.65,
|
1242 |
+
"learning_rate": 0.000345,
|
1243 |
+
"loss": 0.7881,
|
1244 |
+
"step": 5000
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.65,
|
1248 |
+
"eval_loss": 0.8933315873146057,
|
1249 |
+
"eval_runtime": 4334.0003,
|
1250 |
+
"eval_samples_per_second": 1.79,
|
1251 |
+
"eval_steps_per_second": 0.224,
|
1252 |
+
"eval_wer": 46.00464667032135,
|
1253 |
+
"step": 5000
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 0.65,
|
1257 |
+
"learning_rate": 0.00034413793103448275,
|
1258 |
+
"loss": 0.775,
|
1259 |
+
"step": 5025
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 0.66,
|
1263 |
+
"learning_rate": 0.00034327586206896557,
|
1264 |
+
"loss": 0.842,
|
1265 |
+
"step": 5050
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 0.66,
|
1269 |
+
"learning_rate": 0.0003424137931034483,
|
1270 |
+
"loss": 0.8452,
|
1271 |
+
"step": 5075
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 0.66,
|
1275 |
+
"learning_rate": 0.00034155172413793104,
|
1276 |
+
"loss": 0.8184,
|
1277 |
+
"step": 5100
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 0.67,
|
1281 |
+
"learning_rate": 0.0003406896551724138,
|
1282 |
+
"loss": 0.8292,
|
1283 |
+
"step": 5125
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.67,
|
1287 |
+
"learning_rate": 0.00033982758620689657,
|
1288 |
+
"loss": 0.7263,
|
1289 |
+
"step": 5150
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.67,
|
1293 |
+
"learning_rate": 0.00033896551724137933,
|
1294 |
+
"loss": 0.7959,
|
1295 |
+
"step": 5175
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 0.68,
|
1299 |
+
"learning_rate": 0.0003381034482758621,
|
1300 |
+
"loss": 0.7924,
|
1301 |
+
"step": 5200
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 0.68,
|
1305 |
+
"learning_rate": 0.0003372413793103448,
|
1306 |
+
"loss": 0.8546,
|
1307 |
+
"step": 5225
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 0.68,
|
1311 |
+
"learning_rate": 0.0003363793103448276,
|
1312 |
+
"loss": 0.7946,
|
1313 |
+
"step": 5250
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.69,
|
1317 |
+
"learning_rate": 0.00033551724137931033,
|
1318 |
+
"loss": 0.7834,
|
1319 |
+
"step": 5275
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.69,
|
1323 |
+
"learning_rate": 0.0003346551724137931,
|
1324 |
+
"loss": 0.7676,
|
1325 |
+
"step": 5300
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.69,
|
1329 |
+
"learning_rate": 0.00033379310344827586,
|
1330 |
+
"loss": 0.8122,
|
1331 |
+
"step": 5325
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 0.7,
|
1335 |
+
"learning_rate": 0.0003329310344827586,
|
1336 |
+
"loss": 0.795,
|
1337 |
+
"step": 5350
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 0.7,
|
1341 |
+
"learning_rate": 0.0003320689655172414,
|
1342 |
+
"loss": 0.8275,
|
1343 |
+
"step": 5375
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 0.7,
|
1347 |
+
"learning_rate": 0.00033120689655172415,
|
1348 |
+
"loss": 0.7469,
|
1349 |
+
"step": 5400
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.71,
|
1353 |
+
"learning_rate": 0.0003303448275862069,
|
1354 |
+
"loss": 0.7791,
|
1355 |
+
"step": 5425
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 0.71,
|
1359 |
+
"learning_rate": 0.0003294827586206897,
|
1360 |
+
"loss": 0.735,
|
1361 |
+
"step": 5450
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.71,
|
1365 |
+
"learning_rate": 0.00032862068965517244,
|
1366 |
+
"loss": 0.8282,
|
1367 |
+
"step": 5475
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.72,
|
1371 |
+
"learning_rate": 0.00032775862068965515,
|
1372 |
+
"loss": 0.7646,
|
1373 |
+
"step": 5500
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 0.72,
|
1377 |
+
"learning_rate": 0.00032689655172413797,
|
1378 |
+
"loss": 0.7744,
|
1379 |
+
"step": 5525
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 0.72,
|
1383 |
+
"learning_rate": 0.0003260344827586207,
|
1384 |
+
"loss": 0.6798,
|
1385 |
+
"step": 5550
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.73,
|
1389 |
+
"learning_rate": 0.0003251724137931035,
|
1390 |
+
"loss": 0.728,
|
1391 |
+
"step": 5575
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 0.73,
|
1395 |
+
"learning_rate": 0.0003243103448275862,
|
1396 |
+
"loss": 0.715,
|
1397 |
+
"step": 5600
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 0.73,
|
1401 |
+
"learning_rate": 0.00032344827586206897,
|
1402 |
+
"loss": 0.789,
|
1403 |
+
"step": 5625
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.73,
|
1407 |
+
"learning_rate": 0.00032258620689655173,
|
1408 |
+
"loss": 0.7733,
|
1409 |
+
"step": 5650
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.74,
|
1413 |
+
"learning_rate": 0.0003217241379310345,
|
1414 |
+
"loss": 0.7132,
|
1415 |
+
"step": 5675
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 0.74,
|
1419 |
+
"learning_rate": 0.0003208620689655172,
|
1420 |
+
"loss": 0.7397,
|
1421 |
+
"step": 5700
|
1422 |
+
},
|
1423 |
+
{
|
1424 |
+
"epoch": 0.74,
|
1425 |
+
"learning_rate": 0.00032,
|
1426 |
+
"loss": 0.7236,
|
1427 |
+
"step": 5725
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 0.75,
|
1431 |
+
"learning_rate": 0.00031913793103448274,
|
1432 |
+
"loss": 0.7283,
|
1433 |
+
"step": 5750
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.75,
|
1437 |
+
"learning_rate": 0.00031827586206896555,
|
1438 |
+
"loss": 0.7346,
|
1439 |
+
"step": 5775
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 0.75,
|
1443 |
+
"learning_rate": 0.00031741379310344826,
|
1444 |
+
"loss": 0.8194,
|
1445 |
+
"step": 5800
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.76,
|
1449 |
+
"learning_rate": 0.00031655172413793103,
|
1450 |
+
"loss": 0.7943,
|
1451 |
+
"step": 5825
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.76,
|
1455 |
+
"learning_rate": 0.00031568965517241385,
|
1456 |
+
"loss": 0.7206,
|
1457 |
+
"step": 5850
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 0.76,
|
1461 |
+
"learning_rate": 0.00031482758620689655,
|
1462 |
+
"loss": 0.7185,
|
1463 |
+
"step": 5875
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 0.77,
|
1467 |
+
"learning_rate": 0.0003139655172413793,
|
1468 |
+
"loss": 0.6939,
|
1469 |
+
"step": 5900
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 0.77,
|
1473 |
+
"learning_rate": 0.0003131034482758621,
|
1474 |
+
"loss": 0.6927,
|
1475 |
+
"step": 5925
|
1476 |
+
},
|
1477 |
+
{
|
1478 |
+
"epoch": 0.77,
|
1479 |
+
"learning_rate": 0.00031224137931034485,
|
1480 |
+
"loss": 0.7656,
|
1481 |
+
"step": 5950
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 0.78,
|
1485 |
+
"learning_rate": 0.00031137931034482756,
|
1486 |
+
"loss": 0.7598,
|
1487 |
+
"step": 5975
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 0.78,
|
1491 |
+
"learning_rate": 0.0003105172413793104,
|
1492 |
+
"loss": 0.7596,
|
1493 |
+
"step": 6000
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.78,
|
1497 |
+
"eval_loss": 0.7720913290977478,
|
1498 |
+
"eval_runtime": 4465.1172,
|
1499 |
+
"eval_samples_per_second": 1.738,
|
1500 |
+
"eval_steps_per_second": 0.217,
|
1501 |
+
"eval_wer": 38.55953220038113,
|
1502 |
+
"step": 6000
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 0.78,
|
1506 |
+
"learning_rate": 0.0003096551724137931,
|
1507 |
+
"loss": 0.7287,
|
1508 |
+
"step": 6025
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 0.79,
|
1512 |
+
"learning_rate": 0.0003087931034482759,
|
1513 |
+
"loss": 0.7175,
|
1514 |
+
"step": 6050
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.79,
|
1518 |
+
"learning_rate": 0.0003079310344827586,
|
1519 |
+
"loss": 0.704,
|
1520 |
+
"step": 6075
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 0.79,
|
1524 |
+
"learning_rate": 0.0003070689655172414,
|
1525 |
+
"loss": 0.6944,
|
1526 |
+
"step": 6100
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 0.8,
|
1530 |
+
"learning_rate": 0.00030620689655172414,
|
1531 |
+
"loss": 0.6961,
|
1532 |
+
"step": 6125
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 0.8,
|
1536 |
+
"learning_rate": 0.0003053448275862069,
|
1537 |
+
"loss": 0.6878,
|
1538 |
+
"step": 6150
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 0.8,
|
1542 |
+
"learning_rate": 0.0003044827586206896,
|
1543 |
+
"loss": 0.6977,
|
1544 |
+
"step": 6175
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 0.81,
|
1548 |
+
"learning_rate": 0.00030362068965517243,
|
1549 |
+
"loss": 0.711,
|
1550 |
+
"step": 6200
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 0.81,
|
1554 |
+
"learning_rate": 0.0003027586206896552,
|
1555 |
+
"loss": 0.7098,
|
1556 |
+
"step": 6225
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.81,
|
1560 |
+
"learning_rate": 0.00030189655172413796,
|
1561 |
+
"loss": 0.6776,
|
1562 |
+
"step": 6250
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 0.82,
|
1566 |
+
"learning_rate": 0.0003010344827586207,
|
1567 |
+
"loss": 0.7545,
|
1568 |
+
"step": 6275
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 0.82,
|
1572 |
+
"learning_rate": 0.00030017241379310343,
|
1573 |
+
"loss": 0.6484,
|
1574 |
+
"step": 6300
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 0.82,
|
1578 |
+
"learning_rate": 0.00029931034482758625,
|
1579 |
+
"loss": 0.6543,
|
1580 |
+
"step": 6325
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 0.83,
|
1584 |
+
"learning_rate": 0.00029844827586206896,
|
1585 |
+
"loss": 0.705,
|
1586 |
+
"step": 6350
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 0.83,
|
1590 |
+
"learning_rate": 0.0002975862068965517,
|
1591 |
+
"loss": 0.6692,
|
1592 |
+
"step": 6375
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 0.83,
|
1596 |
+
"learning_rate": 0.0002967241379310345,
|
1597 |
+
"loss": 0.7034,
|
1598 |
+
"step": 6400
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.84,
|
1602 |
+
"learning_rate": 0.00029586206896551725,
|
1603 |
+
"loss": 0.7017,
|
1604 |
+
"step": 6425
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 0.84,
|
1608 |
+
"learning_rate": 0.000295,
|
1609 |
+
"loss": 0.6735,
|
1610 |
+
"step": 6450
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 0.84,
|
1614 |
+
"learning_rate": 0.0002941379310344828,
|
1615 |
+
"loss": 0.7277,
|
1616 |
+
"step": 6475
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 0.85,
|
1620 |
+
"learning_rate": 0.0002932758620689655,
|
1621 |
+
"loss": 0.6576,
|
1622 |
+
"step": 6500
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 0.85,
|
1626 |
+
"learning_rate": 0.0002924137931034483,
|
1627 |
+
"loss": 0.6608,
|
1628 |
+
"step": 6525
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 0.85,
|
1632 |
+
"learning_rate": 0.000291551724137931,
|
1633 |
+
"loss": 0.7124,
|
1634 |
+
"step": 6550
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 0.86,
|
1638 |
+
"learning_rate": 0.0002906896551724138,
|
1639 |
+
"loss": 0.7117,
|
1640 |
+
"step": 6575
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.86,
|
1644 |
+
"learning_rate": 0.00028982758620689654,
|
1645 |
+
"loss": 0.6616,
|
1646 |
+
"step": 6600
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 0.86,
|
1650 |
+
"learning_rate": 0.0002889655172413793,
|
1651 |
+
"loss": 0.6366,
|
1652 |
+
"step": 6625
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 0.86,
|
1656 |
+
"learning_rate": 0.0002881034482758621,
|
1657 |
+
"loss": 0.6889,
|
1658 |
+
"step": 6650
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 0.87,
|
1662 |
+
"learning_rate": 0.00028724137931034484,
|
1663 |
+
"loss": 0.6519,
|
1664 |
+
"step": 6675
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 0.87,
|
1668 |
+
"learning_rate": 0.0002863793103448276,
|
1669 |
+
"loss": 0.6387,
|
1670 |
+
"step": 6700
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 0.87,
|
1674 |
+
"learning_rate": 0.00028551724137931036,
|
1675 |
+
"loss": 0.6623,
|
1676 |
+
"step": 6725
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 0.88,
|
1680 |
+
"learning_rate": 0.0002846551724137931,
|
1681 |
+
"loss": 0.6319,
|
1682 |
+
"step": 6750
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.88,
|
1686 |
+
"learning_rate": 0.00028379310344827584,
|
1687 |
+
"loss": 0.6237,
|
1688 |
+
"step": 6775
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 0.88,
|
1692 |
+
"learning_rate": 0.00028293103448275865,
|
1693 |
+
"loss": 0.6792,
|
1694 |
+
"step": 6800
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 0.89,
|
1698 |
+
"learning_rate": 0.00028206896551724136,
|
1699 |
+
"loss": 0.6469,
|
1700 |
+
"step": 6825
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 0.89,
|
1704 |
+
"learning_rate": 0.0002812068965517242,
|
1705 |
+
"loss": 0.6552,
|
1706 |
+
"step": 6850
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 0.89,
|
1710 |
+
"learning_rate": 0.0002803448275862069,
|
1711 |
+
"loss": 0.6866,
|
1712 |
+
"step": 6875
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 0.9,
|
1716 |
+
"learning_rate": 0.00027948275862068966,
|
1717 |
+
"loss": 0.6912,
|
1718 |
+
"step": 6900
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 0.9,
|
1722 |
+
"learning_rate": 0.0002786206896551724,
|
1723 |
+
"loss": 0.6707,
|
1724 |
+
"step": 6925
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.9,
|
1728 |
+
"learning_rate": 0.0002777586206896552,
|
1729 |
+
"loss": 0.6205,
|
1730 |
+
"step": 6950
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 0.91,
|
1734 |
+
"learning_rate": 0.0002768965517241379,
|
1735 |
+
"loss": 0.6686,
|
1736 |
+
"step": 6975
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 0.91,
|
1740 |
+
"learning_rate": 0.0002760344827586207,
|
1741 |
+
"loss": 0.5678,
|
1742 |
+
"step": 7000
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 0.91,
|
1746 |
+
"eval_loss": 0.6903061866760254,
|
1747 |
+
"eval_runtime": 4363.4092,
|
1748 |
+
"eval_samples_per_second": 1.778,
|
1749 |
+
"eval_steps_per_second": 0.222,
|
1750 |
+
"eval_wer": 36.289712063069416,
|
1751 |
+
"step": 7000
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 0.91,
|
1755 |
+
"learning_rate": 0.0002751724137931034,
|
1756 |
+
"loss": 0.6476,
|
1757 |
+
"step": 7025
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 0.92,
|
1761 |
+
"learning_rate": 0.0002743103448275862,
|
1762 |
+
"loss": 0.5989,
|
1763 |
+
"step": 7050
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 0.92,
|
1767 |
+
"learning_rate": 0.000273448275862069,
|
1768 |
+
"loss": 0.6408,
|
1769 |
+
"step": 7075
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 0.92,
|
1773 |
+
"learning_rate": 0.0002725862068965517,
|
1774 |
+
"loss": 0.6082,
|
1775 |
+
"step": 7100
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 0.93,
|
1779 |
+
"learning_rate": 0.00027172413793103453,
|
1780 |
+
"loss": 0.6294,
|
1781 |
+
"step": 7125
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 0.93,
|
1785 |
+
"learning_rate": 0.00027086206896551724,
|
1786 |
+
"loss": 0.6513,
|
1787 |
+
"step": 7150
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.93,
|
1791 |
+
"learning_rate": 0.00027,
|
1792 |
+
"loss": 0.635,
|
1793 |
+
"step": 7175
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 0.94,
|
1797 |
+
"learning_rate": 0.00026913793103448277,
|
1798 |
+
"loss": 0.6699,
|
1799 |
+
"step": 7200
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 0.94,
|
1803 |
+
"learning_rate": 0.00026827586206896553,
|
1804 |
+
"loss": 0.6685,
|
1805 |
+
"step": 7225
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 0.94,
|
1809 |
+
"learning_rate": 0.00026741379310344824,
|
1810 |
+
"loss": 0.6326,
|
1811 |
+
"step": 7250
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 0.95,
|
1815 |
+
"learning_rate": 0.00026655172413793106,
|
1816 |
+
"loss": 0.6095,
|
1817 |
+
"step": 7275
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 0.95,
|
1821 |
+
"learning_rate": 0.00026568965517241377,
|
1822 |
+
"loss": 0.6083,
|
1823 |
+
"step": 7300
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 0.95,
|
1827 |
+
"learning_rate": 0.0002648275862068966,
|
1828 |
+
"loss": 0.6832,
|
1829 |
+
"step": 7325
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.96,
|
1833 |
+
"learning_rate": 0.0002639655172413793,
|
1834 |
+
"loss": 0.6248,
|
1835 |
+
"step": 7350
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 0.96,
|
1839 |
+
"learning_rate": 0.00026310344827586206,
|
1840 |
+
"loss": 0.5977,
|
1841 |
+
"step": 7375
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 0.96,
|
1845 |
+
"learning_rate": 0.0002622413793103448,
|
1846 |
+
"loss": 0.5741,
|
1847 |
+
"step": 7400
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 0.97,
|
1851 |
+
"learning_rate": 0.0002613793103448276,
|
1852 |
+
"loss": 0.6256,
|
1853 |
+
"step": 7425
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 0.97,
|
1857 |
+
"learning_rate": 0.00026051724137931035,
|
1858 |
+
"loss": 0.599,
|
1859 |
+
"step": 7450
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"epoch": 0.97,
|
1863 |
+
"learning_rate": 0.0002596551724137931,
|
1864 |
+
"loss": 0.6052,
|
1865 |
+
"step": 7475
|
1866 |
+
},
|
1867 |
+
{
|
1868 |
+
"epoch": 0.98,
|
1869 |
+
"learning_rate": 0.0002587931034482759,
|
1870 |
+
"loss": 0.653,
|
1871 |
+
"step": 7500
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.98,
|
1875 |
+
"learning_rate": 0.00025793103448275864,
|
1876 |
+
"loss": 0.5683,
|
1877 |
+
"step": 7525
|
1878 |
+
},
|
1879 |
+
{
|
1880 |
+
"epoch": 0.98,
|
1881 |
+
"learning_rate": 0.0002570689655172414,
|
1882 |
+
"loss": 0.5726,
|
1883 |
+
"step": 7550
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 0.99,
|
1887 |
+
"learning_rate": 0.0002562068965517241,
|
1888 |
+
"loss": 0.5458,
|
1889 |
+
"step": 7575
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 0.99,
|
1893 |
+
"learning_rate": 0.00025534482758620693,
|
1894 |
+
"loss": 0.631,
|
1895 |
+
"step": 7600
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 0.99,
|
1899 |
+
"learning_rate": 0.00025448275862068964,
|
1900 |
+
"loss": 0.6076,
|
1901 |
+
"step": 7625
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"epoch": 1.0,
|
1905 |
+
"learning_rate": 0.0002536206896551724,
|
1906 |
+
"loss": 0.6211,
|
1907 |
+
"step": 7650
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 1.0,
|
1911 |
+
"learning_rate": 0.00025275862068965517,
|
1912 |
+
"loss": 0.587,
|
1913 |
+
"step": 7675
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 1.0,
|
1917 |
+
"learning_rate": 0.00025189655172413794,
|
1918 |
+
"loss": 0.5228,
|
1919 |
+
"step": 7700
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 1.0,
|
1923 |
+
"learning_rate": 0.0002510344827586207,
|
1924 |
+
"loss": 0.4133,
|
1925 |
+
"step": 7725
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 1.01,
|
1929 |
+
"learning_rate": 0.00025017241379310346,
|
1930 |
+
"loss": 0.3992,
|
1931 |
+
"step": 7750
|
1932 |
+
},
|
1933 |
+
{
|
1934 |
+
"epoch": 1.01,
|
1935 |
+
"learning_rate": 0.00024931034482758623,
|
1936 |
+
"loss": 0.4355,
|
1937 |
+
"step": 7775
|
1938 |
+
},
|
1939 |
+
{
|
1940 |
+
"epoch": 1.01,
|
1941 |
+
"learning_rate": 0.000248448275862069,
|
1942 |
+
"loss": 0.43,
|
1943 |
+
"step": 7800
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"epoch": 1.02,
|
1947 |
+
"learning_rate": 0.00024758620689655175,
|
1948 |
+
"loss": 0.4121,
|
1949 |
+
"step": 7825
|
1950 |
+
},
|
1951 |
+
{
|
1952 |
+
"epoch": 1.02,
|
1953 |
+
"learning_rate": 0.00024672413793103446,
|
1954 |
+
"loss": 0.4258,
|
1955 |
+
"step": 7850
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 1.02,
|
1959 |
+
"learning_rate": 0.00024586206896551723,
|
1960 |
+
"loss": 0.4448,
|
1961 |
+
"step": 7875
|
1962 |
+
},
|
1963 |
+
{
|
1964 |
+
"epoch": 1.03,
|
1965 |
+
"learning_rate": 0.000245,
|
1966 |
+
"loss": 0.4889,
|
1967 |
+
"step": 7900
|
1968 |
+
},
|
1969 |
+
{
|
1970 |
+
"epoch": 1.03,
|
1971 |
+
"learning_rate": 0.00024413793103448276,
|
1972 |
+
"loss": 0.4237,
|
1973 |
+
"step": 7925
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 1.03,
|
1977 |
+
"learning_rate": 0.00024327586206896552,
|
1978 |
+
"loss": 0.4333,
|
1979 |
+
"step": 7950
|
1980 |
+
},
|
1981 |
+
{
|
1982 |
+
"epoch": 1.04,
|
1983 |
+
"learning_rate": 0.00024241379310344828,
|
1984 |
+
"loss": 0.4656,
|
1985 |
+
"step": 7975
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 1.04,
|
1989 |
+
"learning_rate": 0.00024155172413793102,
|
1990 |
+
"loss": 0.4412,
|
1991 |
+
"step": 8000
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 1.04,
|
1995 |
+
"eval_loss": 0.6475529074668884,
|
1996 |
+
"eval_runtime": 4254.9114,
|
1997 |
+
"eval_samples_per_second": 1.824,
|
1998 |
+
"eval_steps_per_second": 0.228,
|
1999 |
+
"eval_wer": 32.74727856527528,
|
2000 |
+
"step": 8000
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 1.04,
|
2004 |
+
"learning_rate": 0.00024068965517241378,
|
2005 |
+
"loss": 0.417,
|
2006 |
+
"step": 8025
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 1.05,
|
2010 |
+
"learning_rate": 0.00023982758620689658,
|
2011 |
+
"loss": 0.4202,
|
2012 |
+
"step": 8050
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 1.05,
|
2016 |
+
"learning_rate": 0.00023896551724137934,
|
2017 |
+
"loss": 0.4492,
|
2018 |
+
"step": 8075
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 1.05,
|
2022 |
+
"learning_rate": 0.00023810344827586208,
|
2023 |
+
"loss": 0.4164,
|
2024 |
+
"step": 8100
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 1.06,
|
2028 |
+
"learning_rate": 0.00023724137931034484,
|
2029 |
+
"loss": 0.4167,
|
2030 |
+
"step": 8125
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 1.06,
|
2034 |
+
"learning_rate": 0.0002363793103448276,
|
2035 |
+
"loss": 0.4335,
|
2036 |
+
"step": 8150
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 1.06,
|
2040 |
+
"learning_rate": 0.00023551724137931037,
|
2041 |
+
"loss": 0.4287,
|
2042 |
+
"step": 8175
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 1.07,
|
2046 |
+
"learning_rate": 0.0002346551724137931,
|
2047 |
+
"loss": 0.4858,
|
2048 |
+
"step": 8200
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 1.07,
|
2052 |
+
"learning_rate": 0.00023379310344827587,
|
2053 |
+
"loss": 0.4382,
|
2054 |
+
"step": 8225
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 1.07,
|
2058 |
+
"learning_rate": 0.00023293103448275863,
|
2059 |
+
"loss": 0.4262,
|
2060 |
+
"step": 8250
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 1.08,
|
2064 |
+
"learning_rate": 0.00023206896551724137,
|
2065 |
+
"loss": 0.4313,
|
2066 |
+
"step": 8275
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 1.08,
|
2070 |
+
"learning_rate": 0.00023120689655172413,
|
2071 |
+
"loss": 0.4018,
|
2072 |
+
"step": 8300
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 1.08,
|
2076 |
+
"learning_rate": 0.0002303448275862069,
|
2077 |
+
"loss": 0.437,
|
2078 |
+
"step": 8325
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 1.09,
|
2082 |
+
"learning_rate": 0.00022948275862068966,
|
2083 |
+
"loss": 0.4006,
|
2084 |
+
"step": 8350
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 1.09,
|
2088 |
+
"learning_rate": 0.0002286206896551724,
|
2089 |
+
"loss": 0.4307,
|
2090 |
+
"step": 8375
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 1.09,
|
2094 |
+
"learning_rate": 0.00022775862068965516,
|
2095 |
+
"loss": 0.4145,
|
2096 |
+
"step": 8400
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 1.1,
|
2100 |
+
"learning_rate": 0.00022689655172413792,
|
2101 |
+
"loss": 0.4171,
|
2102 |
+
"step": 8425
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 1.1,
|
2106 |
+
"learning_rate": 0.00022603448275862072,
|
2107 |
+
"loss": 0.4135,
|
2108 |
+
"step": 8450
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 1.1,
|
2112 |
+
"learning_rate": 0.00022517241379310345,
|
2113 |
+
"loss": 0.3852,
|
2114 |
+
"step": 8475
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 1.11,
|
2118 |
+
"learning_rate": 0.00022431034482758622,
|
2119 |
+
"loss": 0.4196,
|
2120 |
+
"step": 8500
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 1.11,
|
2124 |
+
"learning_rate": 0.00022344827586206898,
|
2125 |
+
"loss": 0.4233,
|
2126 |
+
"step": 8525
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 1.11,
|
2130 |
+
"learning_rate": 0.00022258620689655174,
|
2131 |
+
"loss": 0.4414,
|
2132 |
+
"step": 8550
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 1.12,
|
2136 |
+
"learning_rate": 0.00022172413793103448,
|
2137 |
+
"loss": 0.4032,
|
2138 |
+
"step": 8575
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 1.12,
|
2142 |
+
"learning_rate": 0.00022086206896551724,
|
2143 |
+
"loss": 0.4294,
|
2144 |
+
"step": 8600
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 1.12,
|
2148 |
+
"learning_rate": 0.00022,
|
2149 |
+
"loss": 0.3927,
|
2150 |
+
"step": 8625
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 1.13,
|
2154 |
+
"learning_rate": 0.00021913793103448277,
|
2155 |
+
"loss": 0.4101,
|
2156 |
+
"step": 8650
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 1.13,
|
2160 |
+
"learning_rate": 0.0002182758620689655,
|
2161 |
+
"loss": 0.3791,
|
2162 |
+
"step": 8675
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 1.13,
|
2166 |
+
"learning_rate": 0.00021741379310344827,
|
2167 |
+
"loss": 0.4372,
|
2168 |
+
"step": 8700
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 1.13,
|
2172 |
+
"learning_rate": 0.00021655172413793104,
|
2173 |
+
"loss": 0.45,
|
2174 |
+
"step": 8725
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 1.14,
|
2178 |
+
"learning_rate": 0.0002156896551724138,
|
2179 |
+
"loss": 0.4376,
|
2180 |
+
"step": 8750
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 1.14,
|
2184 |
+
"learning_rate": 0.00021482758620689654,
|
2185 |
+
"loss": 0.3919,
|
2186 |
+
"step": 8775
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 1.14,
|
2190 |
+
"learning_rate": 0.0002139655172413793,
|
2191 |
+
"loss": 0.4215,
|
2192 |
+
"step": 8800
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 1.15,
|
2196 |
+
"learning_rate": 0.00021310344827586206,
|
2197 |
+
"loss": 0.3651,
|
2198 |
+
"step": 8825
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 1.15,
|
2202 |
+
"learning_rate": 0.00021224137931034486,
|
2203 |
+
"loss": 0.4094,
|
2204 |
+
"step": 8850
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 1.15,
|
2208 |
+
"learning_rate": 0.0002113793103448276,
|
2209 |
+
"loss": 0.4074,
|
2210 |
+
"step": 8875
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 1.16,
|
2214 |
+
"learning_rate": 0.00021051724137931036,
|
2215 |
+
"loss": 0.4215,
|
2216 |
+
"step": 8900
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 1.16,
|
2220 |
+
"learning_rate": 0.00020965517241379312,
|
2221 |
+
"loss": 0.4052,
|
2222 |
+
"step": 8925
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 1.16,
|
2226 |
+
"learning_rate": 0.00020879310344827588,
|
2227 |
+
"loss": 0.4191,
|
2228 |
+
"step": 8950
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 1.17,
|
2232 |
+
"learning_rate": 0.00020793103448275862,
|
2233 |
+
"loss": 0.4341,
|
2234 |
+
"step": 8975
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 1.17,
|
2238 |
+
"learning_rate": 0.00020706896551724138,
|
2239 |
+
"loss": 0.4239,
|
2240 |
+
"step": 9000
|
2241 |
+
},
|
2242 |
+
{
|
2243 |
+
"epoch": 1.17,
|
2244 |
+
"eval_loss": 0.5972723960876465,
|
2245 |
+
"eval_runtime": 4291.4577,
|
2246 |
+
"eval_samples_per_second": 1.808,
|
2247 |
+
"eval_steps_per_second": 0.226,
|
2248 |
+
"eval_wer": 30.81421150181429,
|
2249 |
+
"step": 9000
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 1.17,
|
2253 |
+
"learning_rate": 0.00020620689655172415,
|
2254 |
+
"loss": 0.4005,
|
2255 |
+
"step": 9025
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 1.18,
|
2259 |
+
"learning_rate": 0.0002053448275862069,
|
2260 |
+
"loss": 0.3868,
|
2261 |
+
"step": 9050
|
2262 |
+
},
|
2263 |
+
{
|
2264 |
+
"epoch": 1.18,
|
2265 |
+
"learning_rate": 0.00020448275862068965,
|
2266 |
+
"loss": 0.39,
|
2267 |
+
"step": 9075
|
2268 |
+
},
|
2269 |
+
{
|
2270 |
+
"epoch": 1.18,
|
2271 |
+
"learning_rate": 0.0002036206896551724,
|
2272 |
+
"loss": 0.4323,
|
2273 |
+
"step": 9100
|
2274 |
+
},
|
2275 |
+
{
|
2276 |
+
"epoch": 1.19,
|
2277 |
+
"learning_rate": 0.00020275862068965518,
|
2278 |
+
"loss": 0.4045,
|
2279 |
+
"step": 9125
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"epoch": 1.19,
|
2283 |
+
"learning_rate": 0.00020189655172413794,
|
2284 |
+
"loss": 0.4103,
|
2285 |
+
"step": 9150
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 1.19,
|
2289 |
+
"learning_rate": 0.00020103448275862068,
|
2290 |
+
"loss": 0.3935,
|
2291 |
+
"step": 9175
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 1.2,
|
2295 |
+
"learning_rate": 0.00020017241379310344,
|
2296 |
+
"loss": 0.4184,
|
2297 |
+
"step": 9200
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 1.2,
|
2301 |
+
"learning_rate": 0.0001993103448275862,
|
2302 |
+
"loss": 0.4026,
|
2303 |
+
"step": 9225
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 1.2,
|
2307 |
+
"learning_rate": 0.000198448275862069,
|
2308 |
+
"loss": 0.3878,
|
2309 |
+
"step": 9250
|
2310 |
+
},
|
2311 |
+
{
|
2312 |
+
"epoch": 1.21,
|
2313 |
+
"learning_rate": 0.00019758620689655173,
|
2314 |
+
"loss": 0.3757,
|
2315 |
+
"step": 9275
|
2316 |
+
},
|
2317 |
+
{
|
2318 |
+
"epoch": 1.21,
|
2319 |
+
"learning_rate": 0.0001967241379310345,
|
2320 |
+
"loss": 0.3906,
|
2321 |
+
"step": 9300
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"epoch": 1.21,
|
2325 |
+
"learning_rate": 0.00019586206896551726,
|
2326 |
+
"loss": 0.3943,
|
2327 |
+
"step": 9325
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 1.22,
|
2331 |
+
"learning_rate": 0.00019500000000000002,
|
2332 |
+
"loss": 0.4365,
|
2333 |
+
"step": 9350
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 1.22,
|
2337 |
+
"learning_rate": 0.00019413793103448276,
|
2338 |
+
"loss": 0.4127,
|
2339 |
+
"step": 9375
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 1.22,
|
2343 |
+
"learning_rate": 0.00019327586206896552,
|
2344 |
+
"loss": 0.3919,
|
2345 |
+
"step": 9400
|
2346 |
+
},
|
2347 |
+
{
|
2348 |
+
"epoch": 1.23,
|
2349 |
+
"learning_rate": 0.0001924137931034483,
|
2350 |
+
"loss": 0.3684,
|
2351 |
+
"step": 9425
|
2352 |
+
},
|
2353 |
+
{
|
2354 |
+
"epoch": 1.23,
|
2355 |
+
"learning_rate": 0.00019155172413793102,
|
2356 |
+
"loss": 0.3723,
|
2357 |
+
"step": 9450
|
2358 |
+
},
|
2359 |
+
{
|
2360 |
+
"epoch": 1.23,
|
2361 |
+
"learning_rate": 0.0001906896551724138,
|
2362 |
+
"loss": 0.431,
|
2363 |
+
"step": 9475
|
2364 |
+
},
|
2365 |
+
{
|
2366 |
+
"epoch": 1.24,
|
2367 |
+
"learning_rate": 0.00018982758620689655,
|
2368 |
+
"loss": 0.4256,
|
2369 |
+
"step": 9500
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 1.24,
|
2373 |
+
"learning_rate": 0.00018896551724137932,
|
2374 |
+
"loss": 0.3996,
|
2375 |
+
"step": 9525
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 1.24,
|
2379 |
+
"learning_rate": 0.00018810344827586205,
|
2380 |
+
"loss": 0.3945,
|
2381 |
+
"step": 9550
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 1.25,
|
2385 |
+
"learning_rate": 0.00018724137931034482,
|
2386 |
+
"loss": 0.378,
|
2387 |
+
"step": 9575
|
2388 |
+
},
|
2389 |
+
{
|
2390 |
+
"epoch": 1.25,
|
2391 |
+
"learning_rate": 0.00018637931034482758,
|
2392 |
+
"loss": 0.386,
|
2393 |
+
"step": 9600
|
2394 |
+
},
|
2395 |
+
{
|
2396 |
+
"epoch": 1.25,
|
2397 |
+
"learning_rate": 0.00018551724137931034,
|
2398 |
+
"loss": 0.3649,
|
2399 |
+
"step": 9625
|
2400 |
+
},
|
2401 |
+
{
|
2402 |
+
"epoch": 1.26,
|
2403 |
+
"learning_rate": 0.0001846551724137931,
|
2404 |
+
"loss": 0.384,
|
2405 |
+
"step": 9650
|
2406 |
+
},
|
2407 |
+
{
|
2408 |
+
"epoch": 1.26,
|
2409 |
+
"learning_rate": 0.00018379310344827587,
|
2410 |
+
"loss": 0.417,
|
2411 |
+
"step": 9675
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 1.26,
|
2415 |
+
"learning_rate": 0.00018293103448275864,
|
2416 |
+
"loss": 0.4006,
|
2417 |
+
"step": 9700
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 1.26,
|
2421 |
+
"learning_rate": 0.0001820689655172414,
|
2422 |
+
"loss": 0.3675,
|
2423 |
+
"step": 9725
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 1.27,
|
2427 |
+
"learning_rate": 0.00018120689655172414,
|
2428 |
+
"loss": 0.3888,
|
2429 |
+
"step": 9750
|
2430 |
+
},
|
2431 |
+
{
|
2432 |
+
"epoch": 1.27,
|
2433 |
+
"learning_rate": 0.0001803448275862069,
|
2434 |
+
"loss": 0.3747,
|
2435 |
+
"step": 9775
|
2436 |
+
},
|
2437 |
+
{
|
2438 |
+
"epoch": 1.27,
|
2439 |
+
"learning_rate": 0.00017948275862068966,
|
2440 |
+
"loss": 0.3842,
|
2441 |
+
"step": 9800
|
2442 |
+
},
|
2443 |
+
{
|
2444 |
+
"epoch": 1.28,
|
2445 |
+
"learning_rate": 0.00017862068965517243,
|
2446 |
+
"loss": 0.3928,
|
2447 |
+
"step": 9825
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"epoch": 1.28,
|
2451 |
+
"learning_rate": 0.00017775862068965516,
|
2452 |
+
"loss": 0.37,
|
2453 |
+
"step": 9850
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 1.28,
|
2457 |
+
"learning_rate": 0.00017689655172413793,
|
2458 |
+
"loss": 0.3633,
|
2459 |
+
"step": 9875
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 1.29,
|
2463 |
+
"learning_rate": 0.0001760344827586207,
|
2464 |
+
"loss": 0.3973,
|
2465 |
+
"step": 9900
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 1.29,
|
2469 |
+
"learning_rate": 0.00017517241379310346,
|
2470 |
+
"loss": 0.3864,
|
2471 |
+
"step": 9925
|
2472 |
+
},
|
2473 |
+
{
|
2474 |
+
"epoch": 1.29,
|
2475 |
+
"learning_rate": 0.0001743103448275862,
|
2476 |
+
"loss": 0.3784,
|
2477 |
+
"step": 9950
|
2478 |
+
},
|
2479 |
+
{
|
2480 |
+
"epoch": 1.3,
|
2481 |
+
"learning_rate": 0.00017344827586206896,
|
2482 |
+
"loss": 0.3646,
|
2483 |
+
"step": 9975
|
2484 |
+
},
|
2485 |
+
{
|
2486 |
+
"epoch": 1.3,
|
2487 |
+
"learning_rate": 0.00017258620689655172,
|
2488 |
+
"loss": 0.3935,
|
2489 |
+
"step": 10000
|
2490 |
+
},
|
2491 |
+
{
|
2492 |
+
"epoch": 1.3,
|
2493 |
+
"eval_loss": 0.54443359375,
|
2494 |
+
"eval_runtime": 4568.2387,
|
2495 |
+
"eval_samples_per_second": 1.699,
|
2496 |
+
"eval_steps_per_second": 0.212,
|
2497 |
+
"eval_wer": 29.020805596888298,
|
2498 |
+
"step": 10000
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 1.3,
|
2502 |
+
"learning_rate": 0.00017172413793103448,
|
2503 |
+
"loss": 0.3519,
|
2504 |
+
"step": 10025
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 1.31,
|
2508 |
+
"learning_rate": 0.00017086206896551722,
|
2509 |
+
"loss": 0.3706,
|
2510 |
+
"step": 10050
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 1.31,
|
2514 |
+
"learning_rate": 0.00017,
|
2515 |
+
"loss": 0.3678,
|
2516 |
+
"step": 10075
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 1.31,
|
2520 |
+
"learning_rate": 0.00016913793103448278,
|
2521 |
+
"loss": 0.3964,
|
2522 |
+
"step": 10100
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 1.32,
|
2526 |
+
"learning_rate": 0.00016827586206896554,
|
2527 |
+
"loss": 0.3489,
|
2528 |
+
"step": 10125
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 1.32,
|
2532 |
+
"learning_rate": 0.00016741379310344828,
|
2533 |
+
"loss": 0.3341,
|
2534 |
+
"step": 10150
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 1.32,
|
2538 |
+
"learning_rate": 0.00016655172413793104,
|
2539 |
+
"loss": 0.3754,
|
2540 |
+
"step": 10175
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 1.33,
|
2544 |
+
"learning_rate": 0.0001656896551724138,
|
2545 |
+
"loss": 0.3617,
|
2546 |
+
"step": 10200
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 1.33,
|
2550 |
+
"learning_rate": 0.00016482758620689657,
|
2551 |
+
"loss": 0.3565,
|
2552 |
+
"step": 10225
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 1.33,
|
2556 |
+
"learning_rate": 0.000164,
|
2557 |
+
"loss": 0.37,
|
2558 |
+
"step": 10250
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 1.34,
|
2562 |
+
"learning_rate": 0.00016313793103448277,
|
2563 |
+
"loss": 0.334,
|
2564 |
+
"step": 10275
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 1.34,
|
2568 |
+
"learning_rate": 0.00016227586206896553,
|
2569 |
+
"loss": 0.3508,
|
2570 |
+
"step": 10300
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"epoch": 1.34,
|
2574 |
+
"learning_rate": 0.0001614137931034483,
|
2575 |
+
"loss": 0.351,
|
2576 |
+
"step": 10325
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 1.35,
|
2580 |
+
"learning_rate": 0.00016055172413793103,
|
2581 |
+
"loss": 0.3416,
|
2582 |
+
"step": 10350
|
2583 |
+
},
|
2584 |
+
{
|
2585 |
+
"epoch": 1.35,
|
2586 |
+
"learning_rate": 0.0001596896551724138,
|
2587 |
+
"loss": 0.38,
|
2588 |
+
"step": 10375
|
2589 |
+
},
|
2590 |
+
{
|
2591 |
+
"epoch": 1.35,
|
2592 |
+
"learning_rate": 0.00015882758620689656,
|
2593 |
+
"loss": 0.3593,
|
2594 |
+
"step": 10400
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 1.36,
|
2598 |
+
"learning_rate": 0.00015796551724137932,
|
2599 |
+
"loss": 0.3445,
|
2600 |
+
"step": 10425
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 1.36,
|
2604 |
+
"learning_rate": 0.00015710344827586206,
|
2605 |
+
"loss": 0.3626,
|
2606 |
+
"step": 10450
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 1.36,
|
2610 |
+
"learning_rate": 0.00015624137931034482,
|
2611 |
+
"loss": 0.3461,
|
2612 |
+
"step": 10475
|
2613 |
+
},
|
2614 |
+
{
|
2615 |
+
"epoch": 1.37,
|
2616 |
+
"learning_rate": 0.00015537931034482759,
|
2617 |
+
"loss": 0.351,
|
2618 |
+
"step": 10500
|
2619 |
+
},
|
2620 |
+
{
|
2621 |
+
"epoch": 1.37,
|
2622 |
+
"learning_rate": 0.00015451724137931032,
|
2623 |
+
"loss": 0.3158,
|
2624 |
+
"step": 10525
|
2625 |
+
},
|
2626 |
+
{
|
2627 |
+
"epoch": 1.37,
|
2628 |
+
"learning_rate": 0.0001536551724137931,
|
2629 |
+
"loss": 0.3363,
|
2630 |
+
"step": 10550
|
2631 |
+
},
|
2632 |
+
{
|
2633 |
+
"epoch": 1.38,
|
2634 |
+
"learning_rate": 0.00015279310344827588,
|
2635 |
+
"loss": 0.3392,
|
2636 |
+
"step": 10575
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 1.38,
|
2640 |
+
"learning_rate": 0.00015193103448275864,
|
2641 |
+
"loss": 0.3629,
|
2642 |
+
"step": 10600
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 1.38,
|
2646 |
+
"learning_rate": 0.00015106896551724138,
|
2647 |
+
"loss": 0.3693,
|
2648 |
+
"step": 10625
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 1.39,
|
2652 |
+
"learning_rate": 0.00015020689655172414,
|
2653 |
+
"loss": 0.3253,
|
2654 |
+
"step": 10650
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 1.39,
|
2658 |
+
"learning_rate": 0.0001493448275862069,
|
2659 |
+
"loss": 0.3799,
|
2660 |
+
"step": 10675
|
2661 |
+
},
|
2662 |
+
{
|
2663 |
+
"epoch": 1.39,
|
2664 |
+
"learning_rate": 0.00014848275862068967,
|
2665 |
+
"loss": 0.3498,
|
2666 |
+
"step": 10700
|
2667 |
+
},
|
2668 |
+
{
|
2669 |
+
"epoch": 1.4,
|
2670 |
+
"learning_rate": 0.0001476206896551724,
|
2671 |
+
"loss": 0.3476,
|
2672 |
+
"step": 10725
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 1.4,
|
2676 |
+
"learning_rate": 0.00014675862068965517,
|
2677 |
+
"loss": 0.3617,
|
2678 |
+
"step": 10750
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 1.4,
|
2682 |
+
"learning_rate": 0.00014589655172413793,
|
2683 |
+
"loss": 0.3356,
|
2684 |
+
"step": 10775
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 1.4,
|
2688 |
+
"learning_rate": 0.0001450344827586207,
|
2689 |
+
"loss": 0.3586,
|
2690 |
+
"step": 10800
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 1.41,
|
2694 |
+
"learning_rate": 0.00014417241379310343,
|
2695 |
+
"loss": 0.3718,
|
2696 |
+
"step": 10825
|
2697 |
+
},
|
2698 |
+
{
|
2699 |
+
"epoch": 1.41,
|
2700 |
+
"learning_rate": 0.0001433103448275862,
|
2701 |
+
"loss": 0.3636,
|
2702 |
+
"step": 10850
|
2703 |
+
},
|
2704 |
+
{
|
2705 |
+
"epoch": 1.41,
|
2706 |
+
"learning_rate": 0.00014244827586206896,
|
2707 |
+
"loss": 0.3336,
|
2708 |
+
"step": 10875
|
2709 |
+
},
|
2710 |
+
{
|
2711 |
+
"epoch": 1.42,
|
2712 |
+
"learning_rate": 0.00014158620689655173,
|
2713 |
+
"loss": 0.3223,
|
2714 |
+
"step": 10900
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 1.42,
|
2718 |
+
"learning_rate": 0.00014072413793103446,
|
2719 |
+
"loss": 0.3768,
|
2720 |
+
"step": 10925
|
2721 |
+
},
|
2722 |
+
{
|
2723 |
+
"epoch": 1.42,
|
2724 |
+
"learning_rate": 0.00013986206896551723,
|
2725 |
+
"loss": 0.3507,
|
2726 |
+
"step": 10950
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 1.43,
|
2730 |
+
"learning_rate": 0.00013900000000000002,
|
2731 |
+
"loss": 0.3418,
|
2732 |
+
"step": 10975
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 1.43,
|
2736 |
+
"learning_rate": 0.00013813793103448278,
|
2737 |
+
"loss": 0.3307,
|
2738 |
+
"step": 11000
|
2739 |
+
},
|
2740 |
+
{
|
2741 |
+
"epoch": 1.43,
|
2742 |
+
"eval_loss": 0.5023880004882812,
|
2743 |
+
"eval_runtime": 4328.4809,
|
2744 |
+
"eval_samples_per_second": 1.793,
|
2745 |
+
"eval_steps_per_second": 0.224,
|
2746 |
+
"eval_wer": 27.04336022136946,
|
2747 |
+
"step": 11000
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 1.43,
|
2751 |
+
"learning_rate": 0.00013727586206896552,
|
2752 |
+
"loss": 0.337,
|
2753 |
+
"step": 11025
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 1.44,
|
2757 |
+
"learning_rate": 0.00013641379310344828,
|
2758 |
+
"loss": 0.3461,
|
2759 |
+
"step": 11050
|
2760 |
+
},
|
2761 |
+
{
|
2762 |
+
"epoch": 1.44,
|
2763 |
+
"learning_rate": 0.00013555172413793105,
|
2764 |
+
"loss": 0.3155,
|
2765 |
+
"step": 11075
|
2766 |
+
},
|
2767 |
+
{
|
2768 |
+
"epoch": 1.44,
|
2769 |
+
"learning_rate": 0.0001346896551724138,
|
2770 |
+
"loss": 0.3749,
|
2771 |
+
"step": 11100
|
2772 |
+
},
|
2773 |
+
{
|
2774 |
+
"epoch": 1.45,
|
2775 |
+
"learning_rate": 0.00013382758620689655,
|
2776 |
+
"loss": 0.3423,
|
2777 |
+
"step": 11125
|
2778 |
+
},
|
2779 |
+
{
|
2780 |
+
"epoch": 1.45,
|
2781 |
+
"learning_rate": 0.0001329655172413793,
|
2782 |
+
"loss": 0.3545,
|
2783 |
+
"step": 11150
|
2784 |
+
},
|
2785 |
+
{
|
2786 |
+
"epoch": 1.45,
|
2787 |
+
"learning_rate": 0.00013210344827586207,
|
2788 |
+
"loss": 0.345,
|
2789 |
+
"step": 11175
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 1.46,
|
2793 |
+
"learning_rate": 0.00013124137931034484,
|
2794 |
+
"loss": 0.3202,
|
2795 |
+
"step": 11200
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 1.46,
|
2799 |
+
"learning_rate": 0.00013037931034482757,
|
2800 |
+
"loss": 0.3508,
|
2801 |
+
"step": 11225
|
2802 |
+
},
|
2803 |
+
{
|
2804 |
+
"epoch": 1.46,
|
2805 |
+
"learning_rate": 0.00012951724137931034,
|
2806 |
+
"loss": 0.3255,
|
2807 |
+
"step": 11250
|
2808 |
+
},
|
2809 |
+
{
|
2810 |
+
"epoch": 1.47,
|
2811 |
+
"learning_rate": 0.0001286551724137931,
|
2812 |
+
"loss": 0.2894,
|
2813 |
+
"step": 11275
|
2814 |
+
},
|
2815 |
+
{
|
2816 |
+
"epoch": 1.47,
|
2817 |
+
"learning_rate": 0.00012779310344827587,
|
2818 |
+
"loss": 0.3045,
|
2819 |
+
"step": 11300
|
2820 |
+
},
|
2821 |
+
{
|
2822 |
+
"epoch": 1.47,
|
2823 |
+
"learning_rate": 0.0001269310344827586,
|
2824 |
+
"loss": 0.3172,
|
2825 |
+
"step": 11325
|
2826 |
+
},
|
2827 |
+
{
|
2828 |
+
"epoch": 1.48,
|
2829 |
+
"learning_rate": 0.00012606896551724137,
|
2830 |
+
"loss": 0.3262,
|
2831 |
+
"step": 11350
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 1.48,
|
2835 |
+
"learning_rate": 0.00012520689655172416,
|
2836 |
+
"loss": 0.3419,
|
2837 |
+
"step": 11375
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 1.48,
|
2841 |
+
"learning_rate": 0.0001243448275862069,
|
2842 |
+
"loss": 0.3341,
|
2843 |
+
"step": 11400
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"epoch": 1.49,
|
2847 |
+
"learning_rate": 0.00012348275862068966,
|
2848 |
+
"loss": 0.2947,
|
2849 |
+
"step": 11425
|
2850 |
+
},
|
2851 |
+
{
|
2852 |
+
"epoch": 1.49,
|
2853 |
+
"learning_rate": 0.00012262068965517242,
|
2854 |
+
"loss": 0.3074,
|
2855 |
+
"step": 11450
|
2856 |
+
},
|
2857 |
+
{
|
2858 |
+
"epoch": 1.49,
|
2859 |
+
"learning_rate": 0.00012175862068965519,
|
2860 |
+
"loss": 0.3026,
|
2861 |
+
"step": 11475
|
2862 |
+
},
|
2863 |
+
{
|
2864 |
+
"epoch": 1.5,
|
2865 |
+
"learning_rate": 0.00012089655172413794,
|
2866 |
+
"loss": 0.3012,
|
2867 |
+
"step": 11500
|
2868 |
+
},
|
2869 |
+
{
|
2870 |
+
"epoch": 1.5,
|
2871 |
+
"learning_rate": 0.0001200344827586207,
|
2872 |
+
"loss": 0.3195,
|
2873 |
+
"step": 11525
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 1.5,
|
2877 |
+
"learning_rate": 0.00011917241379310345,
|
2878 |
+
"loss": 0.2823,
|
2879 |
+
"step": 11550
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 1.51,
|
2883 |
+
"learning_rate": 0.00011831034482758621,
|
2884 |
+
"loss": 0.3612,
|
2885 |
+
"step": 11575
|
2886 |
+
},
|
2887 |
+
{
|
2888 |
+
"epoch": 1.51,
|
2889 |
+
"learning_rate": 0.00011744827586206896,
|
2890 |
+
"loss": 0.3005,
|
2891 |
+
"step": 11600
|
2892 |
+
},
|
2893 |
+
{
|
2894 |
+
"epoch": 1.51,
|
2895 |
+
"learning_rate": 0.00011658620689655173,
|
2896 |
+
"loss": 0.3733,
|
2897 |
+
"step": 11625
|
2898 |
+
},
|
2899 |
+
{
|
2900 |
+
"epoch": 1.52,
|
2901 |
+
"learning_rate": 0.00011572413793103448,
|
2902 |
+
"loss": 0.3113,
|
2903 |
+
"step": 11650
|
2904 |
+
},
|
2905 |
+
{
|
2906 |
+
"epoch": 1.52,
|
2907 |
+
"learning_rate": 0.00011486206896551726,
|
2908 |
+
"loss": 0.3026,
|
2909 |
+
"step": 11675
|
2910 |
+
},
|
2911 |
+
{
|
2912 |
+
"epoch": 1.52,
|
2913 |
+
"learning_rate": 0.000114,
|
2914 |
+
"loss": 0.3372,
|
2915 |
+
"step": 11700
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 1.53,
|
2919 |
+
"learning_rate": 0.00011313793103448277,
|
2920 |
+
"loss": 0.3303,
|
2921 |
+
"step": 11725
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 1.53,
|
2925 |
+
"learning_rate": 0.00011227586206896552,
|
2926 |
+
"loss": 0.3109,
|
2927 |
+
"step": 11750
|
2928 |
+
},
|
2929 |
+
{
|
2930 |
+
"epoch": 1.53,
|
2931 |
+
"learning_rate": 0.00011141379310344827,
|
2932 |
+
"loss": 0.3581,
|
2933 |
+
"step": 11775
|
2934 |
+
},
|
2935 |
+
{
|
2936 |
+
"epoch": 1.53,
|
2937 |
+
"learning_rate": 0.00011055172413793103,
|
2938 |
+
"loss": 0.3221,
|
2939 |
+
"step": 11800
|
2940 |
+
},
|
2941 |
+
{
|
2942 |
+
"epoch": 1.54,
|
2943 |
+
"learning_rate": 0.00010968965517241378,
|
2944 |
+
"loss": 0.3066,
|
2945 |
+
"step": 11825
|
2946 |
+
},
|
2947 |
+
{
|
2948 |
+
"epoch": 1.54,
|
2949 |
+
"learning_rate": 0.00010882758620689655,
|
2950 |
+
"loss": 0.3128,
|
2951 |
+
"step": 11850
|
2952 |
+
},
|
2953 |
+
{
|
2954 |
+
"epoch": 1.54,
|
2955 |
+
"learning_rate": 0.00010796551724137931,
|
2956 |
+
"loss": 0.3117,
|
2957 |
+
"step": 11875
|
2958 |
+
},
|
2959 |
+
{
|
2960 |
+
"epoch": 1.55,
|
2961 |
+
"learning_rate": 0.00010710344827586208,
|
2962 |
+
"loss": 0.2919,
|
2963 |
+
"step": 11900
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 1.55,
|
2967 |
+
"learning_rate": 0.00010624137931034483,
|
2968 |
+
"loss": 0.3158,
|
2969 |
+
"step": 11925
|
2970 |
+
},
|
2971 |
+
{
|
2972 |
+
"epoch": 1.55,
|
2973 |
+
"learning_rate": 0.00010537931034482759,
|
2974 |
+
"loss": 0.2745,
|
2975 |
+
"step": 11950
|
2976 |
+
},
|
2977 |
+
{
|
2978 |
+
"epoch": 1.56,
|
2979 |
+
"learning_rate": 0.00010451724137931034,
|
2980 |
+
"loss": 0.3358,
|
2981 |
+
"step": 11975
|
2982 |
+
},
|
2983 |
+
{
|
2984 |
+
"epoch": 1.56,
|
2985 |
+
"learning_rate": 0.0001036551724137931,
|
2986 |
+
"loss": 0.2937,
|
2987 |
+
"step": 12000
|
2988 |
+
},
|
2989 |
+
{
|
2990 |
+
"epoch": 1.56,
|
2991 |
+
"eval_loss": 0.46081113815307617,
|
2992 |
+
"eval_runtime": 4356.6638,
|
2993 |
+
"eval_samples_per_second": 1.781,
|
2994 |
+
"eval_steps_per_second": 0.223,
|
2995 |
+
"eval_wer": 24.731772260944478,
|
2996 |
+
"step": 12000
|
2997 |
+
},
|
2998 |
+
{
|
2999 |
+
"epoch": 1.56,
|
3000 |
+
"learning_rate": 0.00010279310344827585,
|
3001 |
+
"loss": 0.3444,
|
3002 |
+
"step": 12025
|
3003 |
+
},
|
3004 |
+
{
|
3005 |
+
"epoch": 1.57,
|
3006 |
+
"learning_rate": 0.00010193103448275862,
|
3007 |
+
"loss": 0.3275,
|
3008 |
+
"step": 12050
|
3009 |
+
},
|
3010 |
+
{
|
3011 |
+
"epoch": 1.57,
|
3012 |
+
"learning_rate": 0.00010106896551724138,
|
3013 |
+
"loss": 0.3283,
|
3014 |
+
"step": 12075
|
3015 |
+
},
|
3016 |
+
{
|
3017 |
+
"epoch": 1.57,
|
3018 |
+
"learning_rate": 0.00010020689655172415,
|
3019 |
+
"loss": 0.314,
|
3020 |
+
"step": 12100
|
3021 |
+
},
|
3022 |
+
{
|
3023 |
+
"epoch": 1.58,
|
3024 |
+
"learning_rate": 9.93448275862069e-05,
|
3025 |
+
"loss": 0.3032,
|
3026 |
+
"step": 12125
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 1.58,
|
3030 |
+
"learning_rate": 9.848275862068966e-05,
|
3031 |
+
"loss": 0.2962,
|
3032 |
+
"step": 12150
|
3033 |
+
},
|
3034 |
+
{
|
3035 |
+
"epoch": 1.58,
|
3036 |
+
"learning_rate": 9.762068965517241e-05,
|
3037 |
+
"loss": 0.2966,
|
3038 |
+
"step": 12175
|
3039 |
+
},
|
3040 |
+
{
|
3041 |
+
"epoch": 1.59,
|
3042 |
+
"learning_rate": 9.675862068965517e-05,
|
3043 |
+
"loss": 0.2742,
|
3044 |
+
"step": 12200
|
3045 |
+
},
|
3046 |
+
{
|
3047 |
+
"epoch": 1.59,
|
3048 |
+
"learning_rate": 9.589655172413792e-05,
|
3049 |
+
"loss": 0.2963,
|
3050 |
+
"step": 12225
|
3051 |
+
},
|
3052 |
+
{
|
3053 |
+
"epoch": 1.59,
|
3054 |
+
"learning_rate": 9.503448275862069e-05,
|
3055 |
+
"loss": 0.337,
|
3056 |
+
"step": 12250
|
3057 |
+
},
|
3058 |
+
{
|
3059 |
+
"epoch": 1.6,
|
3060 |
+
"learning_rate": 9.417241379310345e-05,
|
3061 |
+
"loss": 0.2903,
|
3062 |
+
"step": 12275
|
3063 |
+
},
|
3064 |
+
{
|
3065 |
+
"epoch": 1.6,
|
3066 |
+
"learning_rate": 9.331034482758622e-05,
|
3067 |
+
"loss": 0.291,
|
3068 |
+
"step": 12300
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 1.6,
|
3072 |
+
"learning_rate": 9.244827586206897e-05,
|
3073 |
+
"loss": 0.2931,
|
3074 |
+
"step": 12325
|
3075 |
+
},
|
3076 |
+
{
|
3077 |
+
"epoch": 1.61,
|
3078 |
+
"learning_rate": 9.158620689655173e-05,
|
3079 |
+
"loss": 0.2939,
|
3080 |
+
"step": 12350
|
3081 |
+
},
|
3082 |
+
{
|
3083 |
+
"epoch": 1.61,
|
3084 |
+
"learning_rate": 9.072413793103448e-05,
|
3085 |
+
"loss": 0.3276,
|
3086 |
+
"step": 12375
|
3087 |
+
},
|
3088 |
+
{
|
3089 |
+
"epoch": 1.61,
|
3090 |
+
"learning_rate": 8.986206896551724e-05,
|
3091 |
+
"loss": 0.2787,
|
3092 |
+
"step": 12400
|
3093 |
+
},
|
3094 |
+
{
|
3095 |
+
"epoch": 1.62,
|
3096 |
+
"learning_rate": 8.9e-05,
|
3097 |
+
"loss": 0.2883,
|
3098 |
+
"step": 12425
|
3099 |
+
},
|
3100 |
+
{
|
3101 |
+
"epoch": 1.62,
|
3102 |
+
"learning_rate": 8.813793103448276e-05,
|
3103 |
+
"loss": 0.2871,
|
3104 |
+
"step": 12450
|
3105 |
+
},
|
3106 |
+
{
|
3107 |
+
"epoch": 1.62,
|
3108 |
+
"learning_rate": 8.727586206896552e-05,
|
3109 |
+
"loss": 0.281,
|
3110 |
+
"step": 12475
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 1.63,
|
3114 |
+
"learning_rate": 8.641379310344829e-05,
|
3115 |
+
"loss": 0.28,
|
3116 |
+
"step": 12500
|
3117 |
+
},
|
3118 |
+
{
|
3119 |
+
"epoch": 1.63,
|
3120 |
+
"learning_rate": 8.555172413793104e-05,
|
3121 |
+
"loss": 0.3186,
|
3122 |
+
"step": 12525
|
3123 |
+
},
|
3124 |
+
{
|
3125 |
+
"epoch": 1.63,
|
3126 |
+
"learning_rate": 8.46896551724138e-05,
|
3127 |
+
"loss": 0.2893,
|
3128 |
+
"step": 12550
|
3129 |
+
},
|
3130 |
+
{
|
3131 |
+
"epoch": 1.64,
|
3132 |
+
"learning_rate": 8.382758620689655e-05,
|
3133 |
+
"loss": 0.3071,
|
3134 |
+
"step": 12575
|
3135 |
+
},
|
3136 |
+
{
|
3137 |
+
"epoch": 1.64,
|
3138 |
+
"learning_rate": 8.296551724137931e-05,
|
3139 |
+
"loss": 0.2608,
|
3140 |
+
"step": 12600
|
3141 |
+
},
|
3142 |
+
{
|
3143 |
+
"epoch": 1.64,
|
3144 |
+
"learning_rate": 8.210344827586206e-05,
|
3145 |
+
"loss": 0.2681,
|
3146 |
+
"step": 12625
|
3147 |
+
},
|
3148 |
+
{
|
3149 |
+
"epoch": 1.65,
|
3150 |
+
"learning_rate": 8.124137931034483e-05,
|
3151 |
+
"loss": 0.2982,
|
3152 |
+
"step": 12650
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 1.65,
|
3156 |
+
"learning_rate": 8.037931034482759e-05,
|
3157 |
+
"loss": 0.296,
|
3158 |
+
"step": 12675
|
3159 |
+
},
|
3160 |
+
{
|
3161 |
+
"epoch": 1.65,
|
3162 |
+
"learning_rate": 7.951724137931036e-05,
|
3163 |
+
"loss": 0.2987,
|
3164 |
+
"step": 12700
|
3165 |
+
},
|
3166 |
+
{
|
3167 |
+
"epoch": 1.66,
|
3168 |
+
"learning_rate": 7.86551724137931e-05,
|
3169 |
+
"loss": 0.3035,
|
3170 |
+
"step": 12725
|
3171 |
+
},
|
3172 |
+
{
|
3173 |
+
"epoch": 1.66,
|
3174 |
+
"learning_rate": 7.779310344827587e-05,
|
3175 |
+
"loss": 0.2744,
|
3176 |
+
"step": 12750
|
3177 |
+
},
|
3178 |
+
{
|
3179 |
+
"epoch": 1.66,
|
3180 |
+
"learning_rate": 7.693103448275862e-05,
|
3181 |
+
"loss": 0.3077,
|
3182 |
+
"step": 12775
|
3183 |
+
},
|
3184 |
+
{
|
3185 |
+
"epoch": 1.66,
|
3186 |
+
"learning_rate": 7.606896551724138e-05,
|
3187 |
+
"loss": 0.265,
|
3188 |
+
"step": 12800
|
3189 |
+
},
|
3190 |
+
{
|
3191 |
+
"epoch": 1.67,
|
3192 |
+
"learning_rate": 7.520689655172413e-05,
|
3193 |
+
"loss": 0.3041,
|
3194 |
+
"step": 12825
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 1.67,
|
3198 |
+
"learning_rate": 7.43448275862069e-05,
|
3199 |
+
"loss": 0.248,
|
3200 |
+
"step": 12850
|
3201 |
+
},
|
3202 |
+
{
|
3203 |
+
"epoch": 1.67,
|
3204 |
+
"learning_rate": 7.348275862068966e-05,
|
3205 |
+
"loss": 0.2656,
|
3206 |
+
"step": 12875
|
3207 |
+
},
|
3208 |
+
{
|
3209 |
+
"epoch": 1.68,
|
3210 |
+
"learning_rate": 7.262068965517243e-05,
|
3211 |
+
"loss": 0.2983,
|
3212 |
+
"step": 12900
|
3213 |
+
},
|
3214 |
+
{
|
3215 |
+
"epoch": 1.68,
|
3216 |
+
"learning_rate": 7.175862068965518e-05,
|
3217 |
+
"loss": 0.3198,
|
3218 |
+
"step": 12925
|
3219 |
+
},
|
3220 |
+
{
|
3221 |
+
"epoch": 1.68,
|
3222 |
+
"learning_rate": 7.089655172413793e-05,
|
3223 |
+
"loss": 0.2788,
|
3224 |
+
"step": 12950
|
3225 |
+
},
|
3226 |
+
{
|
3227 |
+
"epoch": 1.69,
|
3228 |
+
"learning_rate": 7.003448275862069e-05,
|
3229 |
+
"loss": 0.3102,
|
3230 |
+
"step": 12975
|
3231 |
+
},
|
3232 |
+
{
|
3233 |
+
"epoch": 1.69,
|
3234 |
+
"learning_rate": 6.917241379310344e-05,
|
3235 |
+
"loss": 0.2471,
|
3236 |
+
"step": 13000
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 1.69,
|
3240 |
+
"eval_loss": 0.4258999526500702,
|
3241 |
+
"eval_runtime": 4325.4065,
|
3242 |
+
"eval_samples_per_second": 1.794,
|
3243 |
+
"eval_steps_per_second": 0.224,
|
3244 |
+
"eval_wer": 22.893988043960633,
|
3245 |
+
"step": 13000
|
3246 |
+
},
|
3247 |
+
{
|
3248 |
+
"epoch": 1.69,
|
3249 |
+
"learning_rate": 6.83103448275862e-05,
|
3250 |
+
"loss": 0.2669,
|
3251 |
+
"step": 13025
|
3252 |
+
},
|
3253 |
+
{
|
3254 |
+
"epoch": 1.7,
|
3255 |
+
"learning_rate": 6.744827586206896e-05,
|
3256 |
+
"loss": 0.2777,
|
3257 |
+
"step": 13050
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 1.7,
|
3261 |
+
"learning_rate": 6.658620689655173e-05,
|
3262 |
+
"loss": 0.2804,
|
3263 |
+
"step": 13075
|
3264 |
+
},
|
3265 |
+
{
|
3266 |
+
"epoch": 1.7,
|
3267 |
+
"learning_rate": 6.572413793103448e-05,
|
3268 |
+
"loss": 0.3107,
|
3269 |
+
"step": 13100
|
3270 |
+
},
|
3271 |
+
{
|
3272 |
+
"epoch": 1.71,
|
3273 |
+
"learning_rate": 6.486206896551725e-05,
|
3274 |
+
"loss": 0.2575,
|
3275 |
+
"step": 13125
|
3276 |
+
},
|
3277 |
+
{
|
3278 |
+
"epoch": 1.71,
|
3279 |
+
"learning_rate": 6.4e-05,
|
3280 |
+
"loss": 0.2762,
|
3281 |
+
"step": 13150
|
3282 |
+
},
|
3283 |
+
{
|
3284 |
+
"epoch": 1.71,
|
3285 |
+
"learning_rate": 6.313793103448276e-05,
|
3286 |
+
"loss": 0.2814,
|
3287 |
+
"step": 13175
|
3288 |
+
},
|
3289 |
+
{
|
3290 |
+
"epoch": 1.72,
|
3291 |
+
"learning_rate": 6.227586206896551e-05,
|
3292 |
+
"loss": 0.2872,
|
3293 |
+
"step": 13200
|
3294 |
+
},
|
3295 |
+
{
|
3296 |
+
"epoch": 1.72,
|
3297 |
+
"learning_rate": 6.141379310344828e-05,
|
3298 |
+
"loss": 0.2988,
|
3299 |
+
"step": 13225
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 1.72,
|
3303 |
+
"learning_rate": 6.055172413793104e-05,
|
3304 |
+
"loss": 0.2728,
|
3305 |
+
"step": 13250
|
3306 |
+
},
|
3307 |
+
{
|
3308 |
+
"epoch": 1.73,
|
3309 |
+
"learning_rate": 5.9689655172413796e-05,
|
3310 |
+
"loss": 0.2777,
|
3311 |
+
"step": 13275
|
3312 |
+
},
|
3313 |
+
{
|
3314 |
+
"epoch": 1.73,
|
3315 |
+
"learning_rate": 5.882758620689655e-05,
|
3316 |
+
"loss": 0.272,
|
3317 |
+
"step": 13300
|
3318 |
+
},
|
3319 |
+
{
|
3320 |
+
"epoch": 1.73,
|
3321 |
+
"learning_rate": 5.796551724137932e-05,
|
3322 |
+
"loss": 0.2952,
|
3323 |
+
"step": 13325
|
3324 |
+
},
|
3325 |
+
{
|
3326 |
+
"epoch": 1.74,
|
3327 |
+
"learning_rate": 5.7103448275862074e-05,
|
3328 |
+
"loss": 0.2512,
|
3329 |
+
"step": 13350
|
3330 |
+
},
|
3331 |
+
{
|
3332 |
+
"epoch": 1.74,
|
3333 |
+
"learning_rate": 5.624137931034483e-05,
|
3334 |
+
"loss": 0.2648,
|
3335 |
+
"step": 13375
|
3336 |
+
},
|
3337 |
+
{
|
3338 |
+
"epoch": 1.74,
|
3339 |
+
"learning_rate": 5.537931034482759e-05,
|
3340 |
+
"loss": 0.2759,
|
3341 |
+
"step": 13400
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 1.75,
|
3345 |
+
"learning_rate": 5.451724137931035e-05,
|
3346 |
+
"loss": 0.2689,
|
3347 |
+
"step": 13425
|
3348 |
+
},
|
3349 |
+
{
|
3350 |
+
"epoch": 1.75,
|
3351 |
+
"learning_rate": 5.365517241379311e-05,
|
3352 |
+
"loss": 0.2624,
|
3353 |
+
"step": 13450
|
3354 |
+
},
|
3355 |
+
{
|
3356 |
+
"epoch": 1.75,
|
3357 |
+
"learning_rate": 5.2793103448275866e-05,
|
3358 |
+
"loss": 0.2853,
|
3359 |
+
"step": 13475
|
3360 |
+
},
|
3361 |
+
{
|
3362 |
+
"epoch": 1.76,
|
3363 |
+
"learning_rate": 5.193103448275862e-05,
|
3364 |
+
"loss": 0.2773,
|
3365 |
+
"step": 13500
|
3366 |
+
},
|
3367 |
+
{
|
3368 |
+
"epoch": 1.76,
|
3369 |
+
"learning_rate": 5.106896551724139e-05,
|
3370 |
+
"loss": 0.2625,
|
3371 |
+
"step": 13525
|
3372 |
+
},
|
3373 |
+
{
|
3374 |
+
"epoch": 1.76,
|
3375 |
+
"learning_rate": 5.020689655172414e-05,
|
3376 |
+
"loss": 0.2648,
|
3377 |
+
"step": 13550
|
3378 |
+
},
|
3379 |
+
{
|
3380 |
+
"epoch": 1.77,
|
3381 |
+
"learning_rate": 4.9344827586206894e-05,
|
3382 |
+
"loss": 0.2718,
|
3383 |
+
"step": 13575
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 1.77,
|
3387 |
+
"learning_rate": 4.848275862068965e-05,
|
3388 |
+
"loss": 0.2734,
|
3389 |
+
"step": 13600
|
3390 |
+
},
|
3391 |
+
{
|
3392 |
+
"epoch": 1.77,
|
3393 |
+
"learning_rate": 4.7620689655172415e-05,
|
3394 |
+
"loss": 0.2511,
|
3395 |
+
"step": 13625
|
3396 |
+
},
|
3397 |
+
{
|
3398 |
+
"epoch": 1.78,
|
3399 |
+
"learning_rate": 4.675862068965517e-05,
|
3400 |
+
"loss": 0.2552,
|
3401 |
+
"step": 13650
|
3402 |
+
},
|
3403 |
+
{
|
3404 |
+
"epoch": 1.78,
|
3405 |
+
"learning_rate": 4.589655172413793e-05,
|
3406 |
+
"loss": 0.2476,
|
3407 |
+
"step": 13675
|
3408 |
+
},
|
3409 |
+
{
|
3410 |
+
"epoch": 1.78,
|
3411 |
+
"learning_rate": 4.5034482758620686e-05,
|
3412 |
+
"loss": 0.2851,
|
3413 |
+
"step": 13700
|
3414 |
+
},
|
3415 |
+
{
|
3416 |
+
"epoch": 1.79,
|
3417 |
+
"learning_rate": 4.417241379310345e-05,
|
3418 |
+
"loss": 0.2863,
|
3419 |
+
"step": 13725
|
3420 |
+
},
|
3421 |
+
{
|
3422 |
+
"epoch": 1.79,
|
3423 |
+
"learning_rate": 4.331034482758621e-05,
|
3424 |
+
"loss": 0.2669,
|
3425 |
+
"step": 13750
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 1.79,
|
3429 |
+
"learning_rate": 4.2448275862068964e-05,
|
3430 |
+
"loss": 0.2711,
|
3431 |
+
"step": 13775
|
3432 |
+
},
|
3433 |
+
{
|
3434 |
+
"epoch": 1.8,
|
3435 |
+
"learning_rate": 4.158620689655172e-05,
|
3436 |
+
"loss": 0.2463,
|
3437 |
+
"step": 13800
|
3438 |
+
},
|
3439 |
+
{
|
3440 |
+
"epoch": 1.8,
|
3441 |
+
"learning_rate": 4.0724137931034485e-05,
|
3442 |
+
"loss": 0.2726,
|
3443 |
+
"step": 13825
|
3444 |
+
},
|
3445 |
+
{
|
3446 |
+
"epoch": 1.8,
|
3447 |
+
"learning_rate": 3.986206896551724e-05,
|
3448 |
+
"loss": 0.2507,
|
3449 |
+
"step": 13850
|
3450 |
+
},
|
3451 |
+
{
|
3452 |
+
"epoch": 1.8,
|
3453 |
+
"learning_rate": 3.9e-05,
|
3454 |
+
"loss": 0.2827,
|
3455 |
+
"step": 13875
|
3456 |
+
},
|
3457 |
+
{
|
3458 |
+
"epoch": 1.81,
|
3459 |
+
"learning_rate": 3.8137931034482756e-05,
|
3460 |
+
"loss": 0.2541,
|
3461 |
+
"step": 13900
|
3462 |
+
},
|
3463 |
+
{
|
3464 |
+
"epoch": 1.81,
|
3465 |
+
"learning_rate": 3.727586206896552e-05,
|
3466 |
+
"loss": 0.2527,
|
3467 |
+
"step": 13925
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 1.81,
|
3471 |
+
"learning_rate": 3.641379310344828e-05,
|
3472 |
+
"loss": 0.2555,
|
3473 |
+
"step": 13950
|
3474 |
+
},
|
3475 |
+
{
|
3476 |
+
"epoch": 1.82,
|
3477 |
+
"learning_rate": 3.5551724137931034e-05,
|
3478 |
+
"loss": 0.2882,
|
3479 |
+
"step": 13975
|
3480 |
+
},
|
3481 |
+
{
|
3482 |
+
"epoch": 1.82,
|
3483 |
+
"learning_rate": 3.468965517241379e-05,
|
3484 |
+
"loss": 0.2357,
|
3485 |
+
"step": 14000
|
3486 |
+
},
|
3487 |
+
{
|
3488 |
+
"epoch": 1.82,
|
3489 |
+
"eval_loss": 0.3936106860637665,
|
3490 |
+
"eval_runtime": 4292.3141,
|
3491 |
+
"eval_samples_per_second": 1.808,
|
3492 |
+
"eval_steps_per_second": 0.226,
|
3493 |
+
"eval_wer": 21.60179601639387,
|
3494 |
+
"step": 14000
|
3495 |
+
},
|
3496 |
+
{
|
3497 |
+
"epoch": 1.82,
|
3498 |
+
"learning_rate": 3.382758620689655e-05,
|
3499 |
+
"loss": 0.2675,
|
3500 |
+
"step": 14025
|
3501 |
+
},
|
3502 |
+
{
|
3503 |
+
"epoch": 1.83,
|
3504 |
+
"learning_rate": 3.296551724137931e-05,
|
3505 |
+
"loss": 0.2382,
|
3506 |
+
"step": 14050
|
3507 |
+
},
|
3508 |
+
{
|
3509 |
+
"epoch": 1.83,
|
3510 |
+
"learning_rate": 3.210344827586207e-05,
|
3511 |
+
"loss": 0.2706,
|
3512 |
+
"step": 14075
|
3513 |
+
},
|
3514 |
+
{
|
3515 |
+
"epoch": 1.83,
|
3516 |
+
"learning_rate": 3.1241379310344826e-05,
|
3517 |
+
"loss": 0.2518,
|
3518 |
+
"step": 14100
|
3519 |
+
},
|
3520 |
+
{
|
3521 |
+
"epoch": 1.84,
|
3522 |
+
"learning_rate": 3.0379310344827587e-05,
|
3523 |
+
"loss": 0.2612,
|
3524 |
+
"step": 14125
|
3525 |
+
},
|
3526 |
+
{
|
3527 |
+
"epoch": 1.84,
|
3528 |
+
"learning_rate": 2.9517241379310344e-05,
|
3529 |
+
"loss": 0.2029,
|
3530 |
+
"step": 14150
|
3531 |
+
},
|
3532 |
+
{
|
3533 |
+
"epoch": 1.84,
|
3534 |
+
"learning_rate": 2.8655172413793104e-05,
|
3535 |
+
"loss": 0.2558,
|
3536 |
+
"step": 14175
|
3537 |
+
},
|
3538 |
+
{
|
3539 |
+
"epoch": 1.85,
|
3540 |
+
"learning_rate": 2.779310344827586e-05,
|
3541 |
+
"loss": 0.266,
|
3542 |
+
"step": 14200
|
3543 |
+
},
|
3544 |
+
{
|
3545 |
+
"epoch": 1.85,
|
3546 |
+
"learning_rate": 2.6931034482758622e-05,
|
3547 |
+
"loss": 0.2729,
|
3548 |
+
"step": 14225
|
3549 |
+
},
|
3550 |
+
{
|
3551 |
+
"epoch": 1.85,
|
3552 |
+
"learning_rate": 2.606896551724138e-05,
|
3553 |
+
"loss": 0.2423,
|
3554 |
+
"step": 14250
|
3555 |
+
},
|
3556 |
+
{
|
3557 |
+
"epoch": 1.86,
|
3558 |
+
"learning_rate": 2.520689655172414e-05,
|
3559 |
+
"loss": 0.2539,
|
3560 |
+
"step": 14275
|
3561 |
+
},
|
3562 |
+
{
|
3563 |
+
"epoch": 1.86,
|
3564 |
+
"learning_rate": 2.4344827586206896e-05,
|
3565 |
+
"loss": 0.2264,
|
3566 |
+
"step": 14300
|
3567 |
+
},
|
3568 |
+
{
|
3569 |
+
"epoch": 1.86,
|
3570 |
+
"learning_rate": 2.3482758620689657e-05,
|
3571 |
+
"loss": 0.2423,
|
3572 |
+
"step": 14325
|
3573 |
+
},
|
3574 |
+
{
|
3575 |
+
"epoch": 1.87,
|
3576 |
+
"learning_rate": 2.2620689655172414e-05,
|
3577 |
+
"loss": 0.2669,
|
3578 |
+
"step": 14350
|
3579 |
+
},
|
3580 |
+
{
|
3581 |
+
"epoch": 1.87,
|
3582 |
+
"learning_rate": 2.1758620689655174e-05,
|
3583 |
+
"loss": 0.2393,
|
3584 |
+
"step": 14375
|
3585 |
+
},
|
3586 |
+
{
|
3587 |
+
"epoch": 1.87,
|
3588 |
+
"learning_rate": 2.089655172413793e-05,
|
3589 |
+
"loss": 0.2602,
|
3590 |
+
"step": 14400
|
3591 |
+
},
|
3592 |
+
{
|
3593 |
+
"epoch": 1.88,
|
3594 |
+
"learning_rate": 2.0034482758620692e-05,
|
3595 |
+
"loss": 0.2433,
|
3596 |
+
"step": 14425
|
3597 |
+
},
|
3598 |
+
{
|
3599 |
+
"epoch": 1.88,
|
3600 |
+
"learning_rate": 1.9172413793103446e-05,
|
3601 |
+
"loss": 0.268,
|
3602 |
+
"step": 14450
|
3603 |
+
},
|
3604 |
+
{
|
3605 |
+
"epoch": 1.88,
|
3606 |
+
"learning_rate": 1.8344827586206896e-05,
|
3607 |
+
"loss": 0.2483,
|
3608 |
+
"step": 14475
|
3609 |
+
},
|
3610 |
+
{
|
3611 |
+
"epoch": 1.89,
|
3612 |
+
"learning_rate": 1.7482758620689653e-05,
|
3613 |
+
"loss": 0.2439,
|
3614 |
+
"step": 14500
|
3615 |
+
},
|
3616 |
+
{
|
3617 |
+
"epoch": 1.89,
|
3618 |
+
"learning_rate": 1.6620689655172414e-05,
|
3619 |
+
"loss": 0.2539,
|
3620 |
+
"step": 14525
|
3621 |
+
},
|
3622 |
+
{
|
3623 |
+
"epoch": 1.89,
|
3624 |
+
"learning_rate": 1.575862068965517e-05,
|
3625 |
+
"loss": 0.2593,
|
3626 |
+
"step": 14550
|
3627 |
+
},
|
3628 |
+
{
|
3629 |
+
"epoch": 1.9,
|
3630 |
+
"learning_rate": 1.4896551724137931e-05,
|
3631 |
+
"loss": 0.2572,
|
3632 |
+
"step": 14575
|
3633 |
+
},
|
3634 |
+
{
|
3635 |
+
"epoch": 1.9,
|
3636 |
+
"learning_rate": 1.403448275862069e-05,
|
3637 |
+
"loss": 0.2422,
|
3638 |
+
"step": 14600
|
3639 |
+
},
|
3640 |
+
{
|
3641 |
+
"epoch": 1.9,
|
3642 |
+
"learning_rate": 1.3172413793103449e-05,
|
3643 |
+
"loss": 0.2499,
|
3644 |
+
"step": 14625
|
3645 |
+
},
|
3646 |
+
{
|
3647 |
+
"epoch": 1.91,
|
3648 |
+
"learning_rate": 1.2310344827586208e-05,
|
3649 |
+
"loss": 0.2799,
|
3650 |
+
"step": 14650
|
3651 |
+
},
|
3652 |
+
{
|
3653 |
+
"epoch": 1.91,
|
3654 |
+
"learning_rate": 1.1448275862068966e-05,
|
3655 |
+
"loss": 0.24,
|
3656 |
+
"step": 14675
|
3657 |
+
},
|
3658 |
+
{
|
3659 |
+
"epoch": 1.91,
|
3660 |
+
"learning_rate": 1.0586206896551725e-05,
|
3661 |
+
"loss": 0.2371,
|
3662 |
+
"step": 14700
|
3663 |
+
},
|
3664 |
+
{
|
3665 |
+
"epoch": 1.92,
|
3666 |
+
"learning_rate": 9.724137931034484e-06,
|
3667 |
+
"loss": 0.2306,
|
3668 |
+
"step": 14725
|
3669 |
+
},
|
3670 |
+
{
|
3671 |
+
"epoch": 1.92,
|
3672 |
+
"learning_rate": 8.862068965517241e-06,
|
3673 |
+
"loss": 0.2336,
|
3674 |
+
"step": 14750
|
3675 |
+
},
|
3676 |
+
{
|
3677 |
+
"epoch": 1.92,
|
3678 |
+
"learning_rate": 8e-06,
|
3679 |
+
"loss": 0.2333,
|
3680 |
+
"step": 14775
|
3681 |
+
},
|
3682 |
+
{
|
3683 |
+
"epoch": 1.93,
|
3684 |
+
"learning_rate": 7.137931034482759e-06,
|
3685 |
+
"loss": 0.2281,
|
3686 |
+
"step": 14800
|
3687 |
+
},
|
3688 |
+
{
|
3689 |
+
"epoch": 1.93,
|
3690 |
+
"learning_rate": 6.275862068965517e-06,
|
3691 |
+
"loss": 0.2424,
|
3692 |
+
"step": 14825
|
3693 |
+
},
|
3694 |
+
{
|
3695 |
+
"epoch": 1.93,
|
3696 |
+
"learning_rate": 5.413793103448276e-06,
|
3697 |
+
"loss": 0.2271,
|
3698 |
+
"step": 14850
|
3699 |
+
},
|
3700 |
+
{
|
3701 |
+
"epoch": 1.93,
|
3702 |
+
"learning_rate": 4.551724137931035e-06,
|
3703 |
+
"loss": 0.2713,
|
3704 |
+
"step": 14875
|
3705 |
+
},
|
3706 |
+
{
|
3707 |
+
"epoch": 1.94,
|
3708 |
+
"learning_rate": 3.689655172413793e-06,
|
3709 |
+
"loss": 0.2567,
|
3710 |
+
"step": 14900
|
3711 |
+
},
|
3712 |
+
{
|
3713 |
+
"epoch": 1.94,
|
3714 |
+
"learning_rate": 2.8275862068965517e-06,
|
3715 |
+
"loss": 0.2722,
|
3716 |
+
"step": 14925
|
3717 |
+
},
|
3718 |
+
{
|
3719 |
+
"epoch": 1.94,
|
3720 |
+
"learning_rate": 1.96551724137931e-06,
|
3721 |
+
"loss": 0.2542,
|
3722 |
+
"step": 14950
|
3723 |
+
},
|
3724 |
+
{
|
3725 |
+
"epoch": 1.95,
|
3726 |
+
"learning_rate": 1.103448275862069e-06,
|
3727 |
+
"loss": 0.2503,
|
3728 |
+
"step": 14975
|
3729 |
+
},
|
3730 |
+
{
|
3731 |
+
"epoch": 1.95,
|
3732 |
+
"learning_rate": 2.413793103448276e-07,
|
3733 |
+
"loss": 0.2292,
|
3734 |
+
"step": 15000
|
3735 |
+
},
|
3736 |
+
{
|
3737 |
+
"epoch": 1.95,
|
3738 |
+
"eval_loss": 0.37756896018981934,
|
3739 |
+
"eval_runtime": 4311.5582,
|
3740 |
+
"eval_samples_per_second": 1.8,
|
3741 |
+
"eval_steps_per_second": 0.225,
|
3742 |
+
"eval_wer": 20.80037591040802,
|
3743 |
+
"step": 15000
|
3744 |
+
},
|
3745 |
+
{
|
3746 |
+
"epoch": 1.95,
|
3747 |
+
"step": 15000,
|
3748 |
+
"total_flos": 6.925645588119552e+19,
|
3749 |
+
"train_loss": 0.7551171837806702,
|
3750 |
+
"train_runtime": 171060.4893,
|
3751 |
+
"train_samples_per_second": 1.403,
|
3752 |
+
"train_steps_per_second": 0.088
|
3753 |
+
}
|
3754 |
+
],
|
3755 |
+
"max_steps": 15000,
|
3756 |
+
"num_train_epochs": 2,
|
3757 |
+
"total_flos": 6.925645588119552e+19,
|
3758 |
+
"trial_name": null,
|
3759 |
+
"trial_params": null
|
3760 |
+
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3643
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8142473a381bfbd4892957cf8f03560c2645e1e54bbd9dc6562eeb9a98e4e4a6
|
3 |
size 3643
|