patrickvonplaten
commited on
Commit
•
e1985a8
1
Parent(s):
f39d27b
End of training
Browse files- all_results.json +14 -0
- emissions.csv +2 -0
- eval_results.json +9 -0
- pytorch_model.bin +1 -1
- runs/Oct28_14-28-27_brutasse/events.out.tfevents.1635431386.brutasse.20006.0 +2 -2
- runs/Oct28_14-28-27_brutasse/events.out.tfevents.1635436290.brutasse.20006.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +2026 -0
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_loss": 1.7356616258621216,
|
4 |
+
"eval_runtime": 71.2568,
|
5 |
+
"eval_samples": 1680,
|
6 |
+
"eval_samples_per_second": 23.577,
|
7 |
+
"eval_steps_per_second": 23.577,
|
8 |
+
"eval_wer": 0.7935359382537386,
|
9 |
+
"train_loss": 2.2490714783504093,
|
10 |
+
"train_runtime": 4828.6822,
|
11 |
+
"train_samples": 4620,
|
12 |
+
"train_samples_per_second": 19.136,
|
13 |
+
"train_steps_per_second": 0.601
|
14 |
+
}
|
emissions.csv
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
|
2 |
+
2021-10-28T15:50:18,a5ff4598-240a-42b3-b235-1ecb1d15e34d,codecarbon,4825.001961231232,0.011958957715932412,0.05681864728735305,United States,USA,new york,N,,
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_loss": 1.7356616258621216,
|
4 |
+
"eval_runtime": 71.2568,
|
5 |
+
"eval_samples": 1680,
|
6 |
+
"eval_samples_per_second": 23.577,
|
7 |
+
"eval_steps_per_second": 23.577,
|
8 |
+
"eval_wer": 0.7935359382537386
|
9 |
+
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 164046635
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:08b1bb3306710b16d701e031973d3240957d5f553159b41e2a62d6109c30e552
|
3 |
size 164046635
|
runs/Oct28_14-28-27_brutasse/events.out.tfevents.1635431386.brutasse.20006.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f31c3c6648133129f34c61432a3982b622d190e68709e5a8088fdbcd389ec88e
|
3 |
+
size 59464
|
runs/Oct28_14-28-27_brutasse/events.out.tfevents.1635436290.brutasse.20006.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1dc618ee4948857e4fd17b86f5d8d46c4416e31f84725eba67d9f6e85889cb49
|
3 |
+
size 358
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"train_loss": 2.2490714783504093,
|
4 |
+
"train_runtime": 4828.6822,
|
5 |
+
"train_samples": 4620,
|
6 |
+
"train_samples_per_second": 19.136,
|
7 |
+
"train_steps_per_second": 0.601
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2026 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 20.0,
|
5 |
+
"global_step": 2900,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.07,
|
12 |
+
"learning_rate": 9e-07,
|
13 |
+
"loss": 9.1137,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.14,
|
18 |
+
"learning_rate": 1.9e-06,
|
19 |
+
"loss": 8.4051,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.21,
|
24 |
+
"learning_rate": 2.9e-06,
|
25 |
+
"loss": 7.7484,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.28,
|
30 |
+
"learning_rate": 3.8e-06,
|
31 |
+
"loss": 7.4819,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.34,
|
36 |
+
"learning_rate": 4.800000000000001e-06,
|
37 |
+
"loss": 7.0253,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.41,
|
42 |
+
"learning_rate": 5.8e-06,
|
43 |
+
"loss": 6.0543,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.48,
|
48 |
+
"learning_rate": 6.800000000000001e-06,
|
49 |
+
"loss": 5.1796,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.55,
|
54 |
+
"learning_rate": 7.8e-06,
|
55 |
+
"loss": 5.0354,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.62,
|
60 |
+
"learning_rate": 8.8e-06,
|
61 |
+
"loss": 4.5542,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.69,
|
66 |
+
"learning_rate": 9.800000000000001e-06,
|
67 |
+
"loss": 4.1554,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.69,
|
72 |
+
"eval_loss": 4.053138256072998,
|
73 |
+
"eval_runtime": 72.4668,
|
74 |
+
"eval_samples_per_second": 23.183,
|
75 |
+
"eval_steps_per_second": 23.183,
|
76 |
+
"eval_wer": 1.0,
|
77 |
+
"step": 100
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.76,
|
81 |
+
"learning_rate": 1.08e-05,
|
82 |
+
"loss": 3.8952,
|
83 |
+
"step": 110
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 0.83,
|
87 |
+
"learning_rate": 1.18e-05,
|
88 |
+
"loss": 3.7272,
|
89 |
+
"step": 120
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.9,
|
93 |
+
"learning_rate": 1.2800000000000001e-05,
|
94 |
+
"loss": 3.4985,
|
95 |
+
"step": 130
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 0.97,
|
99 |
+
"learning_rate": 1.3800000000000002e-05,
|
100 |
+
"loss": 3.3278,
|
101 |
+
"step": 140
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.03,
|
105 |
+
"learning_rate": 1.48e-05,
|
106 |
+
"loss": 3.2449,
|
107 |
+
"step": 150
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.1,
|
111 |
+
"learning_rate": 1.58e-05,
|
112 |
+
"loss": 3.1355,
|
113 |
+
"step": 160
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.17,
|
117 |
+
"learning_rate": 1.6800000000000002e-05,
|
118 |
+
"loss": 3.0556,
|
119 |
+
"step": 170
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.24,
|
123 |
+
"learning_rate": 1.78e-05,
|
124 |
+
"loss": 3.034,
|
125 |
+
"step": 180
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.31,
|
129 |
+
"learning_rate": 1.88e-05,
|
130 |
+
"loss": 2.9962,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.38,
|
135 |
+
"learning_rate": 1.9800000000000004e-05,
|
136 |
+
"loss": 2.9584,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.38,
|
141 |
+
"eval_loss": 2.977475643157959,
|
142 |
+
"eval_runtime": 71.877,
|
143 |
+
"eval_samples_per_second": 23.373,
|
144 |
+
"eval_steps_per_second": 23.373,
|
145 |
+
"eval_wer": 1.0,
|
146 |
+
"step": 200
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.45,
|
150 |
+
"learning_rate": 2.08e-05,
|
151 |
+
"loss": 2.9505,
|
152 |
+
"step": 210
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.52,
|
156 |
+
"learning_rate": 2.18e-05,
|
157 |
+
"loss": 2.9527,
|
158 |
+
"step": 220
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.59,
|
162 |
+
"learning_rate": 2.2800000000000002e-05,
|
163 |
+
"loss": 2.9569,
|
164 |
+
"step": 230
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.66,
|
168 |
+
"learning_rate": 2.38e-05,
|
169 |
+
"loss": 2.9286,
|
170 |
+
"step": 240
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.72,
|
174 |
+
"learning_rate": 2.48e-05,
|
175 |
+
"loss": 2.9256,
|
176 |
+
"step": 250
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 1.79,
|
180 |
+
"learning_rate": 2.58e-05,
|
181 |
+
"loss": 2.9423,
|
182 |
+
"step": 260
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 1.86,
|
186 |
+
"learning_rate": 2.6800000000000004e-05,
|
187 |
+
"loss": 2.9096,
|
188 |
+
"step": 270
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.93,
|
192 |
+
"learning_rate": 2.7800000000000005e-05,
|
193 |
+
"loss": 2.9218,
|
194 |
+
"step": 280
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.0,
|
198 |
+
"learning_rate": 2.88e-05,
|
199 |
+
"loss": 2.9453,
|
200 |
+
"step": 290
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 2.07,
|
204 |
+
"learning_rate": 2.98e-05,
|
205 |
+
"loss": 2.9355,
|
206 |
+
"step": 300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.07,
|
210 |
+
"eval_loss": 2.9411780834198,
|
211 |
+
"eval_runtime": 71.4798,
|
212 |
+
"eval_samples_per_second": 23.503,
|
213 |
+
"eval_steps_per_second": 23.503,
|
214 |
+
"eval_wer": 1.0,
|
215 |
+
"step": 300
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 2.14,
|
219 |
+
"learning_rate": 3.08e-05,
|
220 |
+
"loss": 2.8964,
|
221 |
+
"step": 310
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 2.21,
|
225 |
+
"learning_rate": 3.18e-05,
|
226 |
+
"loss": 2.9011,
|
227 |
+
"step": 320
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 2.28,
|
231 |
+
"learning_rate": 3.2800000000000004e-05,
|
232 |
+
"loss": 2.9182,
|
233 |
+
"step": 330
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 2.34,
|
237 |
+
"learning_rate": 3.38e-05,
|
238 |
+
"loss": 2.9111,
|
239 |
+
"step": 340
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.41,
|
243 |
+
"learning_rate": 3.48e-05,
|
244 |
+
"loss": 2.8983,
|
245 |
+
"step": 350
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 2.48,
|
249 |
+
"learning_rate": 3.58e-05,
|
250 |
+
"loss": 2.9013,
|
251 |
+
"step": 360
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 2.55,
|
255 |
+
"learning_rate": 3.68e-05,
|
256 |
+
"loss": 2.9018,
|
257 |
+
"step": 370
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 2.62,
|
261 |
+
"learning_rate": 3.7800000000000004e-05,
|
262 |
+
"loss": 2.8843,
|
263 |
+
"step": 380
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 2.69,
|
267 |
+
"learning_rate": 3.88e-05,
|
268 |
+
"loss": 2.8906,
|
269 |
+
"step": 390
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 2.76,
|
273 |
+
"learning_rate": 3.9800000000000005e-05,
|
274 |
+
"loss": 2.9048,
|
275 |
+
"step": 400
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 2.76,
|
279 |
+
"eval_loss": 2.9143226146698,
|
280 |
+
"eval_runtime": 72.4169,
|
281 |
+
"eval_samples_per_second": 23.199,
|
282 |
+
"eval_steps_per_second": 23.199,
|
283 |
+
"eval_wer": 1.0,
|
284 |
+
"step": 400
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.83,
|
288 |
+
"learning_rate": 4.08e-05,
|
289 |
+
"loss": 2.8922,
|
290 |
+
"step": 410
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.9,
|
294 |
+
"learning_rate": 4.18e-05,
|
295 |
+
"loss": 2.8697,
|
296 |
+
"step": 420
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.97,
|
300 |
+
"learning_rate": 4.2800000000000004e-05,
|
301 |
+
"loss": 2.8645,
|
302 |
+
"step": 430
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 3.03,
|
306 |
+
"learning_rate": 4.38e-05,
|
307 |
+
"loss": 2.9111,
|
308 |
+
"step": 440
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.1,
|
312 |
+
"learning_rate": 4.4800000000000005e-05,
|
313 |
+
"loss": 2.8674,
|
314 |
+
"step": 450
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 3.17,
|
318 |
+
"learning_rate": 4.58e-05,
|
319 |
+
"loss": 2.8603,
|
320 |
+
"step": 460
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 3.24,
|
324 |
+
"learning_rate": 4.6800000000000006e-05,
|
325 |
+
"loss": 2.858,
|
326 |
+
"step": 470
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 3.31,
|
330 |
+
"learning_rate": 4.78e-05,
|
331 |
+
"loss": 2.883,
|
332 |
+
"step": 480
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 3.38,
|
336 |
+
"learning_rate": 4.88e-05,
|
337 |
+
"loss": 2.8584,
|
338 |
+
"step": 490
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 3.45,
|
342 |
+
"learning_rate": 4.9800000000000004e-05,
|
343 |
+
"loss": 2.8568,
|
344 |
+
"step": 500
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 3.45,
|
348 |
+
"eval_loss": 2.878626585006714,
|
349 |
+
"eval_runtime": 72.7252,
|
350 |
+
"eval_samples_per_second": 23.101,
|
351 |
+
"eval_steps_per_second": 23.101,
|
352 |
+
"eval_wer": 1.0,
|
353 |
+
"step": 500
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 3.52,
|
357 |
+
"learning_rate": 5.08e-05,
|
358 |
+
"loss": 2.86,
|
359 |
+
"step": 510
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 3.59,
|
363 |
+
"learning_rate": 5.1800000000000005e-05,
|
364 |
+
"loss": 2.8582,
|
365 |
+
"step": 520
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 3.66,
|
369 |
+
"learning_rate": 5.28e-05,
|
370 |
+
"loss": 2.8348,
|
371 |
+
"step": 530
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 3.72,
|
375 |
+
"learning_rate": 5.380000000000001e-05,
|
376 |
+
"loss": 2.8496,
|
377 |
+
"step": 540
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.79,
|
381 |
+
"learning_rate": 5.4800000000000004e-05,
|
382 |
+
"loss": 2.8642,
|
383 |
+
"step": 550
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.86,
|
387 |
+
"learning_rate": 5.580000000000001e-05,
|
388 |
+
"loss": 2.8257,
|
389 |
+
"step": 560
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 3.93,
|
393 |
+
"learning_rate": 5.68e-05,
|
394 |
+
"loss": 2.796,
|
395 |
+
"step": 570
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 4.0,
|
399 |
+
"learning_rate": 5.7799999999999995e-05,
|
400 |
+
"loss": 2.7954,
|
401 |
+
"step": 580
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 4.07,
|
405 |
+
"learning_rate": 5.88e-05,
|
406 |
+
"loss": 2.8045,
|
407 |
+
"step": 590
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 4.14,
|
411 |
+
"learning_rate": 5.9800000000000003e-05,
|
412 |
+
"loss": 2.7248,
|
413 |
+
"step": 600
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 4.14,
|
417 |
+
"eval_loss": 2.7552971839904785,
|
418 |
+
"eval_runtime": 72.4023,
|
419 |
+
"eval_samples_per_second": 23.204,
|
420 |
+
"eval_steps_per_second": 23.204,
|
421 |
+
"eval_wer": 0.9832540831093654,
|
422 |
+
"step": 600
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 4.21,
|
426 |
+
"learning_rate": 6.08e-05,
|
427 |
+
"loss": 2.7032,
|
428 |
+
"step": 610
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 4.28,
|
432 |
+
"learning_rate": 6.18e-05,
|
433 |
+
"loss": 2.7207,
|
434 |
+
"step": 620
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 4.34,
|
438 |
+
"learning_rate": 6.280000000000001e-05,
|
439 |
+
"loss": 2.6933,
|
440 |
+
"step": 630
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 4.41,
|
444 |
+
"learning_rate": 6.38e-05,
|
445 |
+
"loss": 2.6425,
|
446 |
+
"step": 640
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 4.48,
|
450 |
+
"learning_rate": 6.48e-05,
|
451 |
+
"loss": 2.6579,
|
452 |
+
"step": 650
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 4.55,
|
456 |
+
"learning_rate": 6.58e-05,
|
457 |
+
"loss": 2.6758,
|
458 |
+
"step": 660
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 4.62,
|
462 |
+
"learning_rate": 6.680000000000001e-05,
|
463 |
+
"loss": 2.5976,
|
464 |
+
"step": 670
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 4.69,
|
468 |
+
"learning_rate": 6.780000000000001e-05,
|
469 |
+
"loss": 2.6003,
|
470 |
+
"step": 680
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 4.76,
|
474 |
+
"learning_rate": 6.879999999999999e-05,
|
475 |
+
"loss": 2.6394,
|
476 |
+
"step": 690
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 4.83,
|
480 |
+
"learning_rate": 6.98e-05,
|
481 |
+
"loss": 2.6124,
|
482 |
+
"step": 700
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 4.83,
|
486 |
+
"eval_loss": 2.5874478816986084,
|
487 |
+
"eval_runtime": 72.2581,
|
488 |
+
"eval_samples_per_second": 23.25,
|
489 |
+
"eval_steps_per_second": 23.25,
|
490 |
+
"eval_wer": 1.0510647095307009,
|
491 |
+
"step": 700
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 4.9,
|
495 |
+
"learning_rate": 7.08e-05,
|
496 |
+
"loss": 2.5232,
|
497 |
+
"step": 710
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 4.97,
|
501 |
+
"learning_rate": 7.18e-05,
|
502 |
+
"loss": 2.5713,
|
503 |
+
"step": 720
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 5.03,
|
507 |
+
"learning_rate": 7.280000000000001e-05,
|
508 |
+
"loss": 2.6144,
|
509 |
+
"step": 730
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 5.1,
|
513 |
+
"learning_rate": 7.38e-05,
|
514 |
+
"loss": 2.5095,
|
515 |
+
"step": 740
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 5.17,
|
519 |
+
"learning_rate": 7.48e-05,
|
520 |
+
"loss": 2.4838,
|
521 |
+
"step": 750
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 5.24,
|
525 |
+
"learning_rate": 7.58e-05,
|
526 |
+
"loss": 2.5541,
|
527 |
+
"step": 760
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 5.31,
|
531 |
+
"learning_rate": 7.680000000000001e-05,
|
532 |
+
"loss": 2.5471,
|
533 |
+
"step": 770
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 5.38,
|
537 |
+
"learning_rate": 7.780000000000001e-05,
|
538 |
+
"loss": 2.4351,
|
539 |
+
"step": 780
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 5.45,
|
543 |
+
"learning_rate": 7.88e-05,
|
544 |
+
"loss": 2.4678,
|
545 |
+
"step": 790
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 5.52,
|
549 |
+
"learning_rate": 7.98e-05,
|
550 |
+
"loss": 2.5463,
|
551 |
+
"step": 800
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 5.52,
|
555 |
+
"eval_loss": 2.4629976749420166,
|
556 |
+
"eval_runtime": 72.2879,
|
557 |
+
"eval_samples_per_second": 23.24,
|
558 |
+
"eval_steps_per_second": 23.24,
|
559 |
+
"eval_wer": 1.0883467714147887,
|
560 |
+
"step": 800
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 5.59,
|
564 |
+
"learning_rate": 8.080000000000001e-05,
|
565 |
+
"loss": 2.4432,
|
566 |
+
"step": 810
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 5.66,
|
570 |
+
"learning_rate": 8.18e-05,
|
571 |
+
"loss": 2.4039,
|
572 |
+
"step": 820
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 5.72,
|
576 |
+
"learning_rate": 8.28e-05,
|
577 |
+
"loss": 2.4578,
|
578 |
+
"step": 830
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 5.79,
|
582 |
+
"learning_rate": 8.38e-05,
|
583 |
+
"loss": 2.5401,
|
584 |
+
"step": 840
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 5.86,
|
588 |
+
"learning_rate": 8.48e-05,
|
589 |
+
"loss": 2.3699,
|
590 |
+
"step": 850
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 5.93,
|
594 |
+
"learning_rate": 8.58e-05,
|
595 |
+
"loss": 2.3765,
|
596 |
+
"step": 860
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 6.0,
|
600 |
+
"learning_rate": 8.680000000000001e-05,
|
601 |
+
"loss": 2.4682,
|
602 |
+
"step": 870
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 6.07,
|
606 |
+
"learning_rate": 8.78e-05,
|
607 |
+
"loss": 2.4733,
|
608 |
+
"step": 880
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 6.14,
|
612 |
+
"learning_rate": 8.88e-05,
|
613 |
+
"loss": 2.322,
|
614 |
+
"step": 890
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 6.21,
|
618 |
+
"learning_rate": 8.98e-05,
|
619 |
+
"loss": 2.3302,
|
620 |
+
"step": 900
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 6.21,
|
624 |
+
"eval_loss": 2.394815444946289,
|
625 |
+
"eval_runtime": 72.3077,
|
626 |
+
"eval_samples_per_second": 23.234,
|
627 |
+
"eval_steps_per_second": 23.234,
|
628 |
+
"eval_wer": 1.065054096892013,
|
629 |
+
"step": 900
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 6.28,
|
633 |
+
"learning_rate": 9.080000000000001e-05,
|
634 |
+
"loss": 2.4985,
|
635 |
+
"step": 910
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 6.34,
|
639 |
+
"learning_rate": 9.180000000000001e-05,
|
640 |
+
"loss": 2.359,
|
641 |
+
"step": 920
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 6.41,
|
645 |
+
"learning_rate": 9.28e-05,
|
646 |
+
"loss": 2.3208,
|
647 |
+
"step": 930
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 6.48,
|
651 |
+
"learning_rate": 9.38e-05,
|
652 |
+
"loss": 2.3997,
|
653 |
+
"step": 940
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 6.55,
|
657 |
+
"learning_rate": 9.48e-05,
|
658 |
+
"loss": 2.4434,
|
659 |
+
"step": 950
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 6.62,
|
663 |
+
"learning_rate": 9.58e-05,
|
664 |
+
"loss": 2.2,
|
665 |
+
"step": 960
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 6.69,
|
669 |
+
"learning_rate": 9.680000000000001e-05,
|
670 |
+
"loss": 2.187,
|
671 |
+
"step": 970
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 6.76,
|
675 |
+
"learning_rate": 9.78e-05,
|
676 |
+
"loss": 2.4585,
|
677 |
+
"step": 980
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 6.83,
|
681 |
+
"learning_rate": 9.88e-05,
|
682 |
+
"loss": 2.3281,
|
683 |
+
"step": 990
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 6.9,
|
687 |
+
"learning_rate": 9.98e-05,
|
688 |
+
"loss": 2.0669,
|
689 |
+
"step": 1000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 6.9,
|
693 |
+
"eval_loss": 2.2227554321289062,
|
694 |
+
"eval_runtime": 72.5814,
|
695 |
+
"eval_samples_per_second": 23.146,
|
696 |
+
"eval_steps_per_second": 23.146,
|
697 |
+
"eval_wer": 0.9920060643649645,
|
698 |
+
"step": 1000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 6.97,
|
702 |
+
"learning_rate": 9.957894736842106e-05,
|
703 |
+
"loss": 2.2318,
|
704 |
+
"step": 1010
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 7.03,
|
708 |
+
"learning_rate": 9.905263157894737e-05,
|
709 |
+
"loss": 2.4545,
|
710 |
+
"step": 1020
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 7.1,
|
714 |
+
"learning_rate": 9.852631578947368e-05,
|
715 |
+
"loss": 2.1879,
|
716 |
+
"step": 1030
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 7.17,
|
720 |
+
"learning_rate": 9.8e-05,
|
721 |
+
"loss": 2.0836,
|
722 |
+
"step": 1040
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 7.24,
|
726 |
+
"learning_rate": 9.747368421052632e-05,
|
727 |
+
"loss": 2.2671,
|
728 |
+
"step": 1050
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 7.31,
|
732 |
+
"learning_rate": 9.694736842105264e-05,
|
733 |
+
"loss": 2.3343,
|
734 |
+
"step": 1060
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 7.38,
|
738 |
+
"learning_rate": 9.642105263157896e-05,
|
739 |
+
"loss": 1.9379,
|
740 |
+
"step": 1070
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 7.45,
|
744 |
+
"learning_rate": 9.589473684210528e-05,
|
745 |
+
"loss": 2.0721,
|
746 |
+
"step": 1080
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 7.52,
|
750 |
+
"learning_rate": 9.536842105263159e-05,
|
751 |
+
"loss": 2.3738,
|
752 |
+
"step": 1090
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 7.59,
|
756 |
+
"learning_rate": 9.48421052631579e-05,
|
757 |
+
"loss": 2.1991,
|
758 |
+
"step": 1100
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 7.59,
|
762 |
+
"eval_loss": 2.0815486907958984,
|
763 |
+
"eval_runtime": 72.7547,
|
764 |
+
"eval_samples_per_second": 23.091,
|
765 |
+
"eval_steps_per_second": 23.091,
|
766 |
+
"eval_wer": 0.9184756391702846,
|
767 |
+
"step": 1100
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 7.66,
|
771 |
+
"learning_rate": 9.431578947368421e-05,
|
772 |
+
"loss": 1.894,
|
773 |
+
"step": 1110
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 7.72,
|
777 |
+
"learning_rate": 9.378947368421053e-05,
|
778 |
+
"loss": 2.0673,
|
779 |
+
"step": 1120
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 7.79,
|
783 |
+
"learning_rate": 9.326315789473684e-05,
|
784 |
+
"loss": 2.2889,
|
785 |
+
"step": 1130
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 7.86,
|
789 |
+
"learning_rate": 9.273684210526317e-05,
|
790 |
+
"loss": 1.8846,
|
791 |
+
"step": 1140
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 7.93,
|
795 |
+
"learning_rate": 9.221052631578948e-05,
|
796 |
+
"loss": 1.9944,
|
797 |
+
"step": 1150
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 8.0,
|
801 |
+
"learning_rate": 9.16842105263158e-05,
|
802 |
+
"loss": 2.2969,
|
803 |
+
"step": 1160
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 8.07,
|
807 |
+
"learning_rate": 9.11578947368421e-05,
|
808 |
+
"loss": 2.2064,
|
809 |
+
"step": 1170
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 8.14,
|
813 |
+
"learning_rate": 9.063157894736842e-05,
|
814 |
+
"loss": 1.8752,
|
815 |
+
"step": 1180
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 8.21,
|
819 |
+
"learning_rate": 9.010526315789473e-05,
|
820 |
+
"loss": 1.9839,
|
821 |
+
"step": 1190
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 8.28,
|
825 |
+
"learning_rate": 8.957894736842106e-05,
|
826 |
+
"loss": 2.293,
|
827 |
+
"step": 1200
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 8.28,
|
831 |
+
"eval_loss": 2.0229156017303467,
|
832 |
+
"eval_runtime": 72.8641,
|
833 |
+
"eval_samples_per_second": 23.057,
|
834 |
+
"eval_steps_per_second": 23.057,
|
835 |
+
"eval_wer": 0.8674109296395838,
|
836 |
+
"step": 1200
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 8.34,
|
840 |
+
"learning_rate": 8.905263157894737e-05,
|
841 |
+
"loss": 1.8509,
|
842 |
+
"step": 1210
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 8.41,
|
846 |
+
"learning_rate": 8.852631578947368e-05,
|
847 |
+
"loss": 1.8529,
|
848 |
+
"step": 1220
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 8.48,
|
852 |
+
"learning_rate": 8.800000000000001e-05,
|
853 |
+
"loss": 2.1446,
|
854 |
+
"step": 1230
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 8.55,
|
858 |
+
"learning_rate": 8.747368421052632e-05,
|
859 |
+
"loss": 2.1791,
|
860 |
+
"step": 1240
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 8.62,
|
864 |
+
"learning_rate": 8.694736842105264e-05,
|
865 |
+
"loss": 1.7817,
|
866 |
+
"step": 1250
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 8.69,
|
870 |
+
"learning_rate": 8.642105263157895e-05,
|
871 |
+
"loss": 1.8903,
|
872 |
+
"step": 1260
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 8.76,
|
876 |
+
"learning_rate": 8.589473684210528e-05,
|
877 |
+
"loss": 2.2622,
|
878 |
+
"step": 1270
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 8.83,
|
882 |
+
"learning_rate": 8.536842105263159e-05,
|
883 |
+
"loss": 1.9584,
|
884 |
+
"step": 1280
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 8.9,
|
888 |
+
"learning_rate": 8.48421052631579e-05,
|
889 |
+
"loss": 1.7396,
|
890 |
+
"step": 1290
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 8.97,
|
894 |
+
"learning_rate": 8.431578947368422e-05,
|
895 |
+
"loss": 2.0366,
|
896 |
+
"step": 1300
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 8.97,
|
900 |
+
"eval_loss": 1.9590282440185547,
|
901 |
+
"eval_runtime": 72.3447,
|
902 |
+
"eval_samples_per_second": 23.222,
|
903 |
+
"eval_steps_per_second": 23.222,
|
904 |
+
"eval_wer": 0.9164771552615257,
|
905 |
+
"step": 1300
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 9.03,
|
909 |
+
"learning_rate": 8.378947368421053e-05,
|
910 |
+
"loss": 2.2349,
|
911 |
+
"step": 1310
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 9.1,
|
915 |
+
"learning_rate": 8.326315789473684e-05,
|
916 |
+
"loss": 1.6997,
|
917 |
+
"step": 1320
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 9.17,
|
921 |
+
"learning_rate": 8.273684210526315e-05,
|
922 |
+
"loss": 1.7567,
|
923 |
+
"step": 1330
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 9.24,
|
927 |
+
"learning_rate": 8.221052631578948e-05,
|
928 |
+
"loss": 2.1089,
|
929 |
+
"step": 1340
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 9.31,
|
933 |
+
"learning_rate": 8.16842105263158e-05,
|
934 |
+
"loss": 2.0903,
|
935 |
+
"step": 1350
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 9.38,
|
939 |
+
"learning_rate": 8.115789473684211e-05,
|
940 |
+
"loss": 1.7575,
|
941 |
+
"step": 1360
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 9.45,
|
945 |
+
"learning_rate": 8.063157894736842e-05,
|
946 |
+
"loss": 1.8904,
|
947 |
+
"step": 1370
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 9.52,
|
951 |
+
"learning_rate": 8.010526315789473e-05,
|
952 |
+
"loss": 2.1946,
|
953 |
+
"step": 1380
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 9.59,
|
957 |
+
"learning_rate": 7.957894736842106e-05,
|
958 |
+
"loss": 1.8283,
|
959 |
+
"step": 1390
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 9.66,
|
963 |
+
"learning_rate": 7.905263157894737e-05,
|
964 |
+
"loss": 1.767,
|
965 |
+
"step": 1400
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 9.66,
|
969 |
+
"eval_loss": 1.9129446744918823,
|
970 |
+
"eval_runtime": 72.6019,
|
971 |
+
"eval_samples_per_second": 23.14,
|
972 |
+
"eval_steps_per_second": 23.14,
|
973 |
+
"eval_wer": 0.8124870787678313,
|
974 |
+
"step": 1400
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 9.72,
|
978 |
+
"learning_rate": 7.852631578947369e-05,
|
979 |
+
"loss": 2.0462,
|
980 |
+
"step": 1410
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 9.79,
|
984 |
+
"learning_rate": 7.800000000000001e-05,
|
985 |
+
"loss": 2.2074,
|
986 |
+
"step": 1420
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 9.86,
|
990 |
+
"learning_rate": 7.747368421052633e-05,
|
991 |
+
"loss": 1.6767,
|
992 |
+
"step": 1430
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 9.93,
|
996 |
+
"learning_rate": 7.694736842105264e-05,
|
997 |
+
"loss": 1.794,
|
998 |
+
"step": 1440
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 10.0,
|
1002 |
+
"learning_rate": 7.642105263157895e-05,
|
1003 |
+
"loss": 2.0682,
|
1004 |
+
"step": 1450
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 10.07,
|
1008 |
+
"learning_rate": 7.589473684210526e-05,
|
1009 |
+
"loss": 1.9451,
|
1010 |
+
"step": 1460
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 10.14,
|
1014 |
+
"learning_rate": 7.536842105263158e-05,
|
1015 |
+
"loss": 1.6441,
|
1016 |
+
"step": 1470
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 10.21,
|
1020 |
+
"learning_rate": 7.48421052631579e-05,
|
1021 |
+
"loss": 1.8124,
|
1022 |
+
"step": 1480
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 10.28,
|
1026 |
+
"learning_rate": 7.431578947368422e-05,
|
1027 |
+
"loss": 2.221,
|
1028 |
+
"step": 1490
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 10.34,
|
1032 |
+
"learning_rate": 7.378947368421053e-05,
|
1033 |
+
"loss": 1.6222,
|
1034 |
+
"step": 1500
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 10.34,
|
1038 |
+
"eval_loss": 1.8867629766464233,
|
1039 |
+
"eval_runtime": 72.6044,
|
1040 |
+
"eval_samples_per_second": 23.139,
|
1041 |
+
"eval_steps_per_second": 23.139,
|
1042 |
+
"eval_wer": 0.8258562469850458,
|
1043 |
+
"step": 1500
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 10.41,
|
1047 |
+
"learning_rate": 7.326315789473684e-05,
|
1048 |
+
"loss": 1.6811,
|
1049 |
+
"step": 1510
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 10.48,
|
1053 |
+
"learning_rate": 7.273684210526316e-05,
|
1054 |
+
"loss": 1.9881,
|
1055 |
+
"step": 1520
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 10.55,
|
1059 |
+
"learning_rate": 7.221052631578947e-05,
|
1060 |
+
"loss": 2.1143,
|
1061 |
+
"step": 1530
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 10.62,
|
1065 |
+
"learning_rate": 7.16842105263158e-05,
|
1066 |
+
"loss": 1.6932,
|
1067 |
+
"step": 1540
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 10.69,
|
1071 |
+
"learning_rate": 7.115789473684211e-05,
|
1072 |
+
"loss": 1.9069,
|
1073 |
+
"step": 1550
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 10.76,
|
1077 |
+
"learning_rate": 7.063157894736842e-05,
|
1078 |
+
"loss": 2.1833,
|
1079 |
+
"step": 1560
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 10.83,
|
1083 |
+
"learning_rate": 7.010526315789473e-05,
|
1084 |
+
"loss": 1.8623,
|
1085 |
+
"step": 1570
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 10.9,
|
1089 |
+
"learning_rate": 6.957894736842106e-05,
|
1090 |
+
"loss": 1.7111,
|
1091 |
+
"step": 1580
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 10.97,
|
1095 |
+
"learning_rate": 6.905263157894737e-05,
|
1096 |
+
"loss": 1.8365,
|
1097 |
+
"step": 1590
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 11.03,
|
1101 |
+
"learning_rate": 6.852631578947369e-05,
|
1102 |
+
"loss": 2.173,
|
1103 |
+
"step": 1600
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 11.03,
|
1107 |
+
"eval_loss": 1.869093418121338,
|
1108 |
+
"eval_runtime": 72.9861,
|
1109 |
+
"eval_samples_per_second": 23.018,
|
1110 |
+
"eval_steps_per_second": 23.018,
|
1111 |
+
"eval_wer": 0.8661015781131556,
|
1112 |
+
"step": 1600
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 11.1,
|
1116 |
+
"learning_rate": 6.800000000000001e-05,
|
1117 |
+
"loss": 1.6774,
|
1118 |
+
"step": 1610
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 11.17,
|
1122 |
+
"learning_rate": 6.747368421052633e-05,
|
1123 |
+
"loss": 1.6742,
|
1124 |
+
"step": 1620
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 11.24,
|
1128 |
+
"learning_rate": 6.694736842105264e-05,
|
1129 |
+
"loss": 1.9821,
|
1130 |
+
"step": 1630
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 11.31,
|
1134 |
+
"learning_rate": 6.642105263157895e-05,
|
1135 |
+
"loss": 2.0149,
|
1136 |
+
"step": 1640
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 11.38,
|
1140 |
+
"learning_rate": 6.589473684210526e-05,
|
1141 |
+
"loss": 1.6565,
|
1142 |
+
"step": 1650
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 11.45,
|
1146 |
+
"learning_rate": 6.536842105263158e-05,
|
1147 |
+
"loss": 1.7984,
|
1148 |
+
"step": 1660
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 11.52,
|
1152 |
+
"learning_rate": 6.484210526315789e-05,
|
1153 |
+
"loss": 2.1405,
|
1154 |
+
"step": 1670
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 11.59,
|
1158 |
+
"learning_rate": 6.431578947368422e-05,
|
1159 |
+
"loss": 1.6816,
|
1160 |
+
"step": 1680
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 11.66,
|
1164 |
+
"learning_rate": 6.378947368421053e-05,
|
1165 |
+
"loss": 1.5845,
|
1166 |
+
"step": 1690
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 11.72,
|
1170 |
+
"learning_rate": 6.326315789473684e-05,
|
1171 |
+
"loss": 1.8614,
|
1172 |
+
"step": 1700
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 11.72,
|
1176 |
+
"eval_loss": 1.838814377784729,
|
1177 |
+
"eval_runtime": 72.6721,
|
1178 |
+
"eval_samples_per_second": 23.118,
|
1179 |
+
"eval_steps_per_second": 23.118,
|
1180 |
+
"eval_wer": 0.8250292881262491,
|
1181 |
+
"step": 1700
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 11.79,
|
1185 |
+
"learning_rate": 6.273684210526316e-05,
|
1186 |
+
"loss": 2.0775,
|
1187 |
+
"step": 1710
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 11.86,
|
1191 |
+
"learning_rate": 6.221052631578947e-05,
|
1192 |
+
"loss": 1.5785,
|
1193 |
+
"step": 1720
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 11.93,
|
1197 |
+
"learning_rate": 6.168421052631578e-05,
|
1198 |
+
"loss": 1.755,
|
1199 |
+
"step": 1730
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 12.0,
|
1203 |
+
"learning_rate": 6.115789473684211e-05,
|
1204 |
+
"loss": 2.075,
|
1205 |
+
"step": 1740
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 12.07,
|
1209 |
+
"learning_rate": 6.063157894736843e-05,
|
1210 |
+
"loss": 1.863,
|
1211 |
+
"step": 1750
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 12.14,
|
1215 |
+
"learning_rate": 6.010526315789474e-05,
|
1216 |
+
"loss": 1.583,
|
1217 |
+
"step": 1760
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 12.21,
|
1221 |
+
"learning_rate": 5.9578947368421055e-05,
|
1222 |
+
"loss": 1.7871,
|
1223 |
+
"step": 1770
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 12.28,
|
1227 |
+
"learning_rate": 5.905263157894737e-05,
|
1228 |
+
"loss": 2.1129,
|
1229 |
+
"step": 1780
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 12.34,
|
1233 |
+
"learning_rate": 5.852631578947369e-05,
|
1234 |
+
"loss": 1.6468,
|
1235 |
+
"step": 1790
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 12.41,
|
1239 |
+
"learning_rate": 5.8e-05,
|
1240 |
+
"loss": 1.5928,
|
1241 |
+
"step": 1800
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 12.41,
|
1245 |
+
"eval_loss": 1.8527811765670776,
|
1246 |
+
"eval_runtime": 72.6282,
|
1247 |
+
"eval_samples_per_second": 23.131,
|
1248 |
+
"eval_steps_per_second": 23.131,
|
1249 |
+
"eval_wer": 0.7772035007925022,
|
1250 |
+
"step": 1800
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 12.48,
|
1254 |
+
"learning_rate": 5.747368421052633e-05,
|
1255 |
+
"loss": 1.9437,
|
1256 |
+
"step": 1810
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 12.55,
|
1260 |
+
"learning_rate": 5.694736842105264e-05,
|
1261 |
+
"loss": 2.0138,
|
1262 |
+
"step": 1820
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 12.62,
|
1266 |
+
"learning_rate": 5.642105263157895e-05,
|
1267 |
+
"loss": 1.5605,
|
1268 |
+
"step": 1830
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 12.69,
|
1272 |
+
"learning_rate": 5.5894736842105266e-05,
|
1273 |
+
"loss": 1.6621,
|
1274 |
+
"step": 1840
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 12.76,
|
1278 |
+
"learning_rate": 5.536842105263158e-05,
|
1279 |
+
"loss": 2.0522,
|
1280 |
+
"step": 1850
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 12.83,
|
1284 |
+
"learning_rate": 5.484210526315789e-05,
|
1285 |
+
"loss": 1.7832,
|
1286 |
+
"step": 1860
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 12.9,
|
1290 |
+
"learning_rate": 5.431578947368421e-05,
|
1291 |
+
"loss": 1.5737,
|
1292 |
+
"step": 1870
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 12.97,
|
1296 |
+
"learning_rate": 5.378947368421053e-05,
|
1297 |
+
"loss": 1.7934,
|
1298 |
+
"step": 1880
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 13.03,
|
1302 |
+
"learning_rate": 5.326315789473685e-05,
|
1303 |
+
"loss": 2.0458,
|
1304 |
+
"step": 1890
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 13.1,
|
1308 |
+
"learning_rate": 5.2736842105263164e-05,
|
1309 |
+
"loss": 1.5978,
|
1310 |
+
"step": 1900
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 13.1,
|
1314 |
+
"eval_loss": 1.8002482652664185,
|
1315 |
+
"eval_runtime": 72.3724,
|
1316 |
+
"eval_samples_per_second": 23.213,
|
1317 |
+
"eval_steps_per_second": 23.213,
|
1318 |
+
"eval_wer": 0.7891944042450555,
|
1319 |
+
"step": 1900
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 13.17,
|
1323 |
+
"learning_rate": 5.221052631578948e-05,
|
1324 |
+
"loss": 1.6475,
|
1325 |
+
"step": 1910
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 13.24,
|
1329 |
+
"learning_rate": 5.168421052631579e-05,
|
1330 |
+
"loss": 1.8777,
|
1331 |
+
"step": 1920
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 13.31,
|
1335 |
+
"learning_rate": 5.11578947368421e-05,
|
1336 |
+
"loss": 1.8604,
|
1337 |
+
"step": 1930
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 13.38,
|
1341 |
+
"learning_rate": 5.0631578947368416e-05,
|
1342 |
+
"loss": 1.6094,
|
1343 |
+
"step": 1940
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 13.45,
|
1347 |
+
"learning_rate": 5.010526315789474e-05,
|
1348 |
+
"loss": 1.6582,
|
1349 |
+
"step": 1950
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 13.52,
|
1353 |
+
"learning_rate": 4.9578947368421055e-05,
|
1354 |
+
"loss": 2.1104,
|
1355 |
+
"step": 1960
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 13.59,
|
1359 |
+
"learning_rate": 4.9052631578947375e-05,
|
1360 |
+
"loss": 1.6908,
|
1361 |
+
"step": 1970
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 13.66,
|
1365 |
+
"learning_rate": 4.852631578947369e-05,
|
1366 |
+
"loss": 1.5252,
|
1367 |
+
"step": 1980
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 13.72,
|
1371 |
+
"learning_rate": 4.8e-05,
|
1372 |
+
"loss": 1.919,
|
1373 |
+
"step": 1990
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 13.79,
|
1377 |
+
"learning_rate": 4.747368421052632e-05,
|
1378 |
+
"loss": 1.9886,
|
1379 |
+
"step": 2000
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 13.79,
|
1383 |
+
"eval_loss": 1.7848409414291382,
|
1384 |
+
"eval_runtime": 72.7789,
|
1385 |
+
"eval_samples_per_second": 23.084,
|
1386 |
+
"eval_steps_per_second": 23.084,
|
1387 |
+
"eval_wer": 0.8448073874991385,
|
1388 |
+
"step": 2000
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 13.86,
|
1392 |
+
"learning_rate": 4.6947368421052634e-05,
|
1393 |
+
"loss": 1.5232,
|
1394 |
+
"step": 2010
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 13.93,
|
1398 |
+
"learning_rate": 4.642105263157895e-05,
|
1399 |
+
"loss": 1.6242,
|
1400 |
+
"step": 2020
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 14.0,
|
1404 |
+
"learning_rate": 4.589473684210526e-05,
|
1405 |
+
"loss": 1.8527,
|
1406 |
+
"step": 2030
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 14.07,
|
1410 |
+
"learning_rate": 4.536842105263158e-05,
|
1411 |
+
"loss": 1.7781,
|
1412 |
+
"step": 2040
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 14.14,
|
1416 |
+
"learning_rate": 4.48421052631579e-05,
|
1417 |
+
"loss": 1.4409,
|
1418 |
+
"step": 2050
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 14.21,
|
1422 |
+
"learning_rate": 4.431578947368421e-05,
|
1423 |
+
"loss": 1.7067,
|
1424 |
+
"step": 2060
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 14.28,
|
1428 |
+
"learning_rate": 4.378947368421053e-05,
|
1429 |
+
"loss": 2.0791,
|
1430 |
+
"step": 2070
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 14.34,
|
1434 |
+
"learning_rate": 4.3263157894736845e-05,
|
1435 |
+
"loss": 1.6208,
|
1436 |
+
"step": 2080
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 14.41,
|
1440 |
+
"learning_rate": 4.273684210526316e-05,
|
1441 |
+
"loss": 1.6079,
|
1442 |
+
"step": 2090
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 14.48,
|
1446 |
+
"learning_rate": 4.221052631578948e-05,
|
1447 |
+
"loss": 1.8042,
|
1448 |
+
"step": 2100
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 14.48,
|
1452 |
+
"eval_loss": 1.7818946838378906,
|
1453 |
+
"eval_runtime": 71.0121,
|
1454 |
+
"eval_samples_per_second": 23.658,
|
1455 |
+
"eval_steps_per_second": 23.658,
|
1456 |
+
"eval_wer": 0.8155881744883192,
|
1457 |
+
"step": 2100
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 14.55,
|
1461 |
+
"learning_rate": 4.168421052631579e-05,
|
1462 |
+
"loss": 1.8973,
|
1463 |
+
"step": 2110
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 14.62,
|
1467 |
+
"learning_rate": 4.1157894736842104e-05,
|
1468 |
+
"loss": 1.5267,
|
1469 |
+
"step": 2120
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 14.69,
|
1473 |
+
"learning_rate": 4.0631578947368424e-05,
|
1474 |
+
"loss": 1.7287,
|
1475 |
+
"step": 2130
|
1476 |
+
},
|
1477 |
+
{
|
1478 |
+
"epoch": 14.76,
|
1479 |
+
"learning_rate": 4.010526315789474e-05,
|
1480 |
+
"loss": 1.9913,
|
1481 |
+
"step": 2140
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 14.83,
|
1485 |
+
"learning_rate": 3.9578947368421056e-05,
|
1486 |
+
"loss": 1.6745,
|
1487 |
+
"step": 2150
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 14.9,
|
1491 |
+
"learning_rate": 3.905263157894737e-05,
|
1492 |
+
"loss": 1.4516,
|
1493 |
+
"step": 2160
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 14.97,
|
1497 |
+
"learning_rate": 3.852631578947369e-05,
|
1498 |
+
"loss": 1.6448,
|
1499 |
+
"step": 2170
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 15.03,
|
1503 |
+
"learning_rate": 3.8e-05,
|
1504 |
+
"loss": 1.9553,
|
1505 |
+
"step": 2180
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 15.1,
|
1509 |
+
"learning_rate": 3.7473684210526315e-05,
|
1510 |
+
"loss": 1.5075,
|
1511 |
+
"step": 2190
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 15.17,
|
1515 |
+
"learning_rate": 3.6947368421052635e-05,
|
1516 |
+
"loss": 1.5488,
|
1517 |
+
"step": 2200
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"epoch": 15.17,
|
1521 |
+
"eval_loss": 1.7614949941635132,
|
1522 |
+
"eval_runtime": 71.3707,
|
1523 |
+
"eval_samples_per_second": 23.539,
|
1524 |
+
"eval_steps_per_second": 23.539,
|
1525 |
+
"eval_wer": 0.8227551512645579,
|
1526 |
+
"step": 2200
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 15.24,
|
1530 |
+
"learning_rate": 3.642105263157895e-05,
|
1531 |
+
"loss": 1.8287,
|
1532 |
+
"step": 2210
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 15.31,
|
1536 |
+
"learning_rate": 3.589473684210527e-05,
|
1537 |
+
"loss": 1.7579,
|
1538 |
+
"step": 2220
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 15.38,
|
1542 |
+
"learning_rate": 3.536842105263158e-05,
|
1543 |
+
"loss": 1.5378,
|
1544 |
+
"step": 2230
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 15.45,
|
1548 |
+
"learning_rate": 3.48421052631579e-05,
|
1549 |
+
"loss": 1.5749,
|
1550 |
+
"step": 2240
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 15.52,
|
1554 |
+
"learning_rate": 3.431578947368421e-05,
|
1555 |
+
"loss": 1.9909,
|
1556 |
+
"step": 2250
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 15.59,
|
1560 |
+
"learning_rate": 3.3789473684210526e-05,
|
1561 |
+
"loss": 1.5317,
|
1562 |
+
"step": 2260
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 15.66,
|
1566 |
+
"learning_rate": 3.3263157894736846e-05,
|
1567 |
+
"loss": 1.5424,
|
1568 |
+
"step": 2270
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 15.72,
|
1572 |
+
"learning_rate": 3.273684210526316e-05,
|
1573 |
+
"loss": 1.819,
|
1574 |
+
"step": 2280
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 15.79,
|
1578 |
+
"learning_rate": 3.221052631578947e-05,
|
1579 |
+
"loss": 1.9687,
|
1580 |
+
"step": 2290
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 15.86,
|
1584 |
+
"learning_rate": 3.168421052631579e-05,
|
1585 |
+
"loss": 1.4468,
|
1586 |
+
"step": 2300
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 15.86,
|
1590 |
+
"eval_loss": 1.756456971168518,
|
1591 |
+
"eval_runtime": 71.2139,
|
1592 |
+
"eval_samples_per_second": 23.591,
|
1593 |
+
"eval_steps_per_second": 23.591,
|
1594 |
+
"eval_wer": 0.7945696368272345,
|
1595 |
+
"step": 2300
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 15.93,
|
1599 |
+
"learning_rate": 3.115789473684211e-05,
|
1600 |
+
"loss": 1.5571,
|
1601 |
+
"step": 2310
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 16.0,
|
1605 |
+
"learning_rate": 3.0631578947368425e-05,
|
1606 |
+
"loss": 1.9013,
|
1607 |
+
"step": 2320
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 16.07,
|
1611 |
+
"learning_rate": 3.0105263157894737e-05,
|
1612 |
+
"loss": 1.7373,
|
1613 |
+
"step": 2330
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 16.14,
|
1617 |
+
"learning_rate": 2.9578947368421057e-05,
|
1618 |
+
"loss": 1.4294,
|
1619 |
+
"step": 2340
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 16.21,
|
1623 |
+
"learning_rate": 2.905263157894737e-05,
|
1624 |
+
"loss": 1.6095,
|
1625 |
+
"step": 2350
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 16.28,
|
1629 |
+
"learning_rate": 2.8526315789473683e-05,
|
1630 |
+
"loss": 1.9819,
|
1631 |
+
"step": 2360
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 16.34,
|
1635 |
+
"learning_rate": 2.8000000000000003e-05,
|
1636 |
+
"loss": 1.4882,
|
1637 |
+
"step": 2370
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 16.41,
|
1641 |
+
"learning_rate": 2.747368421052632e-05,
|
1642 |
+
"loss": 1.53,
|
1643 |
+
"step": 2380
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 16.48,
|
1647 |
+
"learning_rate": 2.6947368421052632e-05,
|
1648 |
+
"loss": 1.7475,
|
1649 |
+
"step": 2390
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 16.55,
|
1653 |
+
"learning_rate": 2.6421052631578945e-05,
|
1654 |
+
"loss": 1.8153,
|
1655 |
+
"step": 2400
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 16.55,
|
1659 |
+
"eval_loss": 1.7536742687225342,
|
1660 |
+
"eval_runtime": 71.6632,
|
1661 |
+
"eval_samples_per_second": 23.443,
|
1662 |
+
"eval_steps_per_second": 23.443,
|
1663 |
+
"eval_wer": 0.8340569223347805,
|
1664 |
+
"step": 2400
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 16.62,
|
1668 |
+
"learning_rate": 2.5894736842105265e-05,
|
1669 |
+
"loss": 1.4362,
|
1670 |
+
"step": 2410
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 16.69,
|
1674 |
+
"learning_rate": 2.536842105263158e-05,
|
1675 |
+
"loss": 1.5779,
|
1676 |
+
"step": 2420
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 16.76,
|
1680 |
+
"learning_rate": 2.4842105263157898e-05,
|
1681 |
+
"loss": 1.9271,
|
1682 |
+
"step": 2430
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 16.83,
|
1686 |
+
"learning_rate": 2.431578947368421e-05,
|
1687 |
+
"loss": 1.6156,
|
1688 |
+
"step": 2440
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 16.9,
|
1692 |
+
"learning_rate": 2.3789473684210527e-05,
|
1693 |
+
"loss": 1.486,
|
1694 |
+
"step": 2450
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 16.97,
|
1698 |
+
"learning_rate": 2.3263157894736844e-05,
|
1699 |
+
"loss": 1.6086,
|
1700 |
+
"step": 2460
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 17.03,
|
1704 |
+
"learning_rate": 2.273684210526316e-05,
|
1705 |
+
"loss": 1.9037,
|
1706 |
+
"step": 2470
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 17.1,
|
1710 |
+
"learning_rate": 2.2210526315789476e-05,
|
1711 |
+
"loss": 1.4369,
|
1712 |
+
"step": 2480
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 17.17,
|
1716 |
+
"learning_rate": 2.168421052631579e-05,
|
1717 |
+
"loss": 1.4858,
|
1718 |
+
"step": 2490
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 17.24,
|
1722 |
+
"learning_rate": 2.1157894736842106e-05,
|
1723 |
+
"loss": 1.77,
|
1724 |
+
"step": 2500
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 17.24,
|
1728 |
+
"eval_loss": 1.7527410984039307,
|
1729 |
+
"eval_runtime": 71.241,
|
1730 |
+
"eval_samples_per_second": 23.582,
|
1731 |
+
"eval_steps_per_second": 23.582,
|
1732 |
+
"eval_wer": 0.7958100751154297,
|
1733 |
+
"step": 2500
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 17.31,
|
1737 |
+
"learning_rate": 2.0631578947368422e-05,
|
1738 |
+
"loss": 1.8011,
|
1739 |
+
"step": 2510
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 17.38,
|
1743 |
+
"learning_rate": 2.010526315789474e-05,
|
1744 |
+
"loss": 1.368,
|
1745 |
+
"step": 2520
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 17.45,
|
1749 |
+
"learning_rate": 1.957894736842105e-05,
|
1750 |
+
"loss": 1.5566,
|
1751 |
+
"step": 2530
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 17.52,
|
1755 |
+
"learning_rate": 1.9052631578947368e-05,
|
1756 |
+
"loss": 1.8702,
|
1757 |
+
"step": 2540
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 17.59,
|
1761 |
+
"learning_rate": 1.8526315789473687e-05,
|
1762 |
+
"loss": 1.5503,
|
1763 |
+
"step": 2550
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 17.66,
|
1767 |
+
"learning_rate": 1.8e-05,
|
1768 |
+
"loss": 1.4542,
|
1769 |
+
"step": 2560
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 17.72,
|
1773 |
+
"learning_rate": 1.7473684210526317e-05,
|
1774 |
+
"loss": 1.6839,
|
1775 |
+
"step": 2570
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 17.79,
|
1779 |
+
"learning_rate": 1.694736842105263e-05,
|
1780 |
+
"loss": 1.8379,
|
1781 |
+
"step": 2580
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 17.86,
|
1785 |
+
"learning_rate": 1.642105263157895e-05,
|
1786 |
+
"loss": 1.422,
|
1787 |
+
"step": 2590
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 17.93,
|
1791 |
+
"learning_rate": 1.5894736842105266e-05,
|
1792 |
+
"loss": 1.4742,
|
1793 |
+
"step": 2600
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 17.93,
|
1797 |
+
"eval_loss": 1.7592216730117798,
|
1798 |
+
"eval_runtime": 71.3803,
|
1799 |
+
"eval_samples_per_second": 23.536,
|
1800 |
+
"eval_steps_per_second": 23.536,
|
1801 |
+
"eval_wer": 0.7849906967128385,
|
1802 |
+
"step": 2600
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 18.0,
|
1806 |
+
"learning_rate": 1.536842105263158e-05,
|
1807 |
+
"loss": 1.8645,
|
1808 |
+
"step": 2610
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 18.07,
|
1812 |
+
"learning_rate": 1.4842105263157895e-05,
|
1813 |
+
"loss": 1.6385,
|
1814 |
+
"step": 2620
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 18.14,
|
1818 |
+
"learning_rate": 1.431578947368421e-05,
|
1819 |
+
"loss": 1.3692,
|
1820 |
+
"step": 2630
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 18.21,
|
1824 |
+
"learning_rate": 1.3789473684210526e-05,
|
1825 |
+
"loss": 1.5574,
|
1826 |
+
"step": 2640
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 18.28,
|
1830 |
+
"learning_rate": 1.3263157894736844e-05,
|
1831 |
+
"loss": 1.8886,
|
1832 |
+
"step": 2650
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 18.34,
|
1836 |
+
"learning_rate": 1.2736842105263157e-05,
|
1837 |
+
"loss": 1.4443,
|
1838 |
+
"step": 2660
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 18.41,
|
1842 |
+
"learning_rate": 1.2210526315789474e-05,
|
1843 |
+
"loss": 1.4329,
|
1844 |
+
"step": 2670
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 18.48,
|
1848 |
+
"learning_rate": 1.168421052631579e-05,
|
1849 |
+
"loss": 1.7405,
|
1850 |
+
"step": 2680
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 18.55,
|
1854 |
+
"learning_rate": 1.1157894736842106e-05,
|
1855 |
+
"loss": 1.7542,
|
1856 |
+
"step": 2690
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 18.62,
|
1860 |
+
"learning_rate": 1.0631578947368421e-05,
|
1861 |
+
"loss": 1.4088,
|
1862 |
+
"step": 2700
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 18.62,
|
1866 |
+
"eval_loss": 1.742145299911499,
|
1867 |
+
"eval_runtime": 71.2352,
|
1868 |
+
"eval_samples_per_second": 23.584,
|
1869 |
+
"eval_steps_per_second": 23.584,
|
1870 |
+
"eval_wer": 0.8148990421059885,
|
1871 |
+
"step": 2700
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 18.69,
|
1875 |
+
"learning_rate": 1.0105263157894738e-05,
|
1876 |
+
"loss": 1.5163,
|
1877 |
+
"step": 2710
|
1878 |
+
},
|
1879 |
+
{
|
1880 |
+
"epoch": 18.76,
|
1881 |
+
"learning_rate": 9.578947368421052e-06,
|
1882 |
+
"loss": 1.86,
|
1883 |
+
"step": 2720
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 18.83,
|
1887 |
+
"learning_rate": 9.05263157894737e-06,
|
1888 |
+
"loss": 1.5346,
|
1889 |
+
"step": 2730
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 18.9,
|
1893 |
+
"learning_rate": 8.526315789473685e-06,
|
1894 |
+
"loss": 1.4966,
|
1895 |
+
"step": 2740
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 18.97,
|
1899 |
+
"learning_rate": 8.000000000000001e-06,
|
1900 |
+
"loss": 1.5937,
|
1901 |
+
"step": 2750
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"epoch": 19.03,
|
1905 |
+
"learning_rate": 7.473684210526316e-06,
|
1906 |
+
"loss": 1.7928,
|
1907 |
+
"step": 2760
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 19.1,
|
1911 |
+
"learning_rate": 6.9473684210526315e-06,
|
1912 |
+
"loss": 1.3874,
|
1913 |
+
"step": 2770
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 19.17,
|
1917 |
+
"learning_rate": 6.421052631578947e-06,
|
1918 |
+
"loss": 1.4221,
|
1919 |
+
"step": 2780
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 19.24,
|
1923 |
+
"learning_rate": 5.8947368421052634e-06,
|
1924 |
+
"loss": 1.7668,
|
1925 |
+
"step": 2790
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 19.31,
|
1929 |
+
"learning_rate": 5.36842105263158e-06,
|
1930 |
+
"loss": 1.7066,
|
1931 |
+
"step": 2800
|
1932 |
+
},
|
1933 |
+
{
|
1934 |
+
"epoch": 19.31,
|
1935 |
+
"eval_loss": 1.73816978931427,
|
1936 |
+
"eval_runtime": 71.1848,
|
1937 |
+
"eval_samples_per_second": 23.601,
|
1938 |
+
"eval_steps_per_second": 23.601,
|
1939 |
+
"eval_wer": 0.7977396457859555,
|
1940 |
+
"step": 2800
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 19.38,
|
1944 |
+
"learning_rate": 4.842105263157895e-06,
|
1945 |
+
"loss": 1.4119,
|
1946 |
+
"step": 2810
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 19.45,
|
1950 |
+
"learning_rate": 4.315789473684211e-06,
|
1951 |
+
"loss": 1.5033,
|
1952 |
+
"step": 2820
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 19.52,
|
1956 |
+
"learning_rate": 3.789473684210527e-06,
|
1957 |
+
"loss": 1.8575,
|
1958 |
+
"step": 2830
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 19.59,
|
1962 |
+
"learning_rate": 3.2631578947368423e-06,
|
1963 |
+
"loss": 1.4447,
|
1964 |
+
"step": 2840
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 19.66,
|
1968 |
+
"learning_rate": 2.7368421052631583e-06,
|
1969 |
+
"loss": 1.3956,
|
1970 |
+
"step": 2850
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 19.72,
|
1974 |
+
"learning_rate": 2.2105263157894738e-06,
|
1975 |
+
"loss": 1.6589,
|
1976 |
+
"step": 2860
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 19.79,
|
1980 |
+
"learning_rate": 1.6842105263157895e-06,
|
1981 |
+
"loss": 1.784,
|
1982 |
+
"step": 2870
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 19.86,
|
1986 |
+
"learning_rate": 1.1578947368421055e-06,
|
1987 |
+
"loss": 1.3676,
|
1988 |
+
"step": 2880
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 19.93,
|
1992 |
+
"learning_rate": 6.315789473684211e-07,
|
1993 |
+
"loss": 1.5221,
|
1994 |
+
"step": 2890
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 20.0,
|
1998 |
+
"learning_rate": 1.0526315789473685e-07,
|
1999 |
+
"loss": 1.7068,
|
2000 |
+
"step": 2900
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 20.0,
|
2004 |
+
"eval_loss": 1.7356616258621216,
|
2005 |
+
"eval_runtime": 71.2787,
|
2006 |
+
"eval_samples_per_second": 23.569,
|
2007 |
+
"eval_steps_per_second": 23.569,
|
2008 |
+
"eval_wer": 0.7935359382537386,
|
2009 |
+
"step": 2900
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 20.0,
|
2013 |
+
"step": 2900,
|
2014 |
+
"total_flos": 1.1463619274186412e+18,
|
2015 |
+
"train_loss": 2.2490714783504093,
|
2016 |
+
"train_runtime": 4828.6822,
|
2017 |
+
"train_samples_per_second": 19.136,
|
2018 |
+
"train_steps_per_second": 0.601
|
2019 |
+
}
|
2020 |
+
],
|
2021 |
+
"max_steps": 2900,
|
2022 |
+
"num_train_epochs": 20,
|
2023 |
+
"total_flos": 1.1463619274186412e+18,
|
2024 |
+
"trial_name": null,
|
2025 |
+
"trial_params": null
|
2026 |
+
}
|