Commit
•
4971d46
1
Parent(s):
161333e
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/Oct21_10-36-28_brutasse/events.out.tfevents.1634812669.brutasse.27744.0 +2 -2
- runs/Oct21_10-36-28_brutasse/events.out.tfevents.1634815527.brutasse.27744.2 +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": 0.6711965203285217,
|
| 4 |
+
"eval_runtime": 56.4312,
|
| 5 |
+
"eval_samples": 1680,
|
| 6 |
+
"eval_samples_per_second": 29.771,
|
| 7 |
+
"eval_steps_per_second": 29.771,
|
| 8 |
+
"eval_wer": 0.41010268072496725,
|
| 9 |
+
"train_loss": 0.1187238040669211,
|
| 10 |
+
"train_runtime": 2793.6874,
|
| 11 |
+
"train_samples": 4620,
|
| 12 |
+
"train_samples_per_second": 33.075,
|
| 13 |
+
"train_steps_per_second": 1.038
|
| 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 |
+
2021-10-21T11:24:25,22912ea7-1e11-40fa-953f-e5767ff63345,codecarbon,2790.8437974452972,0.006912278017465639,0.0328411803064798,United States,USA,new york,N,,
|
eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"eval_loss": 0.6711965203285217,
|
| 4 |
+
"eval_runtime": 56.4312,
|
| 5 |
+
"eval_samples": 1680,
|
| 6 |
+
"eval_samples_per_second": 29.771,
|
| 7 |
+
"eval_steps_per_second": 29.771,
|
| 8 |
+
"eval_wer": 0.41010268072496725
|
| 9 |
+
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377674476
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9eea2e2a0a451fde01ddce25087eb598c8dd34ebff52ae45d328712d3dda988d
|
| 3 |
size 377674476
|
runs/Oct21_10-36-28_brutasse/events.out.tfevents.1634812669.brutasse.27744.0
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:eb99eea040ebd405f1c8f5fbd3c9b36da78c7dac2cfd1b841d8c3b8a14faf000
|
| 3 |
+
size 36765
|
runs/Oct21_10-36-28_brutasse/events.out.tfevents.1634815527.brutasse.27744.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a309934d41c546dc6ff9d47e4d7fb816f25a5ee707d1d46859cf262fcda98a05
|
| 3 |
+
size 358
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"train_loss": 0.1187238040669211,
|
| 4 |
+
"train_runtime": 2793.6874,
|
| 5 |
+
"train_samples": 4620,
|
| 6 |
+
"train_samples_per_second": 33.075,
|
| 7 |
+
"train_steps_per_second": 1.038
|
| 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": 8.000000000000001e-07,
|
| 13 |
+
"loss": 9.5948,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.14,
|
| 18 |
+
"learning_rate": 1.8e-06,
|
| 19 |
+
"loss": 8.4287,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.21,
|
| 24 |
+
"learning_rate": 2.8000000000000003e-06,
|
| 25 |
+
"loss": 7.8808,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.28,
|
| 30 |
+
"learning_rate": 3.7e-06,
|
| 31 |
+
"loss": 8.5345,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.34,
|
| 36 |
+
"learning_rate": 4.7e-06,
|
| 37 |
+
"loss": 7.885,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.41,
|
| 42 |
+
"learning_rate": 5.7000000000000005e-06,
|
| 43 |
+
"loss": 7.0681,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.48,
|
| 48 |
+
"learning_rate": 6.700000000000001e-06,
|
| 49 |
+
"loss": 5.7587,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.55,
|
| 54 |
+
"learning_rate": 7.6e-06,
|
| 55 |
+
"loss": 5.1226,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.62,
|
| 60 |
+
"learning_rate": 8.599999999999999e-06,
|
| 61 |
+
"loss": 3.6571,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.69,
|
| 66 |
+
"learning_rate": 9.600000000000001e-06,
|
| 67 |
+
"loss": 3.2582,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.69,
|
| 72 |
+
"eval_loss": 3.1650655269622803,
|
| 73 |
+
"eval_runtime": 55.5137,
|
| 74 |
+
"eval_samples_per_second": 30.263,
|
| 75 |
+
"eval_steps_per_second": 30.263,
|
| 76 |
+
"eval_wer": 1.0,
|
| 77 |
+
"step": 100
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.76,
|
| 81 |
+
"learning_rate": 1.06e-05,
|
| 82 |
+
"loss": 3.1539,
|
| 83 |
+
"step": 110
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 0.83,
|
| 87 |
+
"learning_rate": 1.16e-05,
|
| 88 |
+
"loss": 3.0631,
|
| 89 |
+
"step": 120
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 0.9,
|
| 93 |
+
"learning_rate": 1.2600000000000001e-05,
|
| 94 |
+
"loss": 3.0257,
|
| 95 |
+
"step": 130
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.97,
|
| 99 |
+
"learning_rate": 1.3600000000000002e-05,
|
| 100 |
+
"loss": 3.0019,
|
| 101 |
+
"step": 140
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 1.03,
|
| 105 |
+
"learning_rate": 1.4599999999999999e-05,
|
| 106 |
+
"loss": 3.0388,
|
| 107 |
+
"step": 150
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 1.1,
|
| 111 |
+
"learning_rate": 1.56e-05,
|
| 112 |
+
"loss": 2.9952,
|
| 113 |
+
"step": 160
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 1.17,
|
| 117 |
+
"learning_rate": 1.66e-05,
|
| 118 |
+
"loss": 2.9761,
|
| 119 |
+
"step": 170
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 1.24,
|
| 123 |
+
"learning_rate": 1.76e-05,
|
| 124 |
+
"loss": 2.99,
|
| 125 |
+
"step": 180
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 1.31,
|
| 129 |
+
"learning_rate": 1.86e-05,
|
| 130 |
+
"loss": 2.9804,
|
| 131 |
+
"step": 190
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 1.38,
|
| 135 |
+
"learning_rate": 1.9600000000000002e-05,
|
| 136 |
+
"loss": 2.9542,
|
| 137 |
+
"step": 200
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.38,
|
| 141 |
+
"eval_loss": 2.9566688537597656,
|
| 142 |
+
"eval_runtime": 55.4569,
|
| 143 |
+
"eval_samples_per_second": 30.294,
|
| 144 |
+
"eval_steps_per_second": 30.294,
|
| 145 |
+
"eval_wer": 1.0,
|
| 146 |
+
"step": 200
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 1.45,
|
| 150 |
+
"learning_rate": 2.06e-05,
|
| 151 |
+
"loss": 2.9482,
|
| 152 |
+
"step": 210
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 1.52,
|
| 156 |
+
"learning_rate": 2.16e-05,
|
| 157 |
+
"loss": 2.9609,
|
| 158 |
+
"step": 220
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 1.59,
|
| 162 |
+
"learning_rate": 2.26e-05,
|
| 163 |
+
"loss": 2.9481,
|
| 164 |
+
"step": 230
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 1.66,
|
| 168 |
+
"learning_rate": 2.36e-05,
|
| 169 |
+
"loss": 2.9313,
|
| 170 |
+
"step": 240
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.72,
|
| 174 |
+
"learning_rate": 2.46e-05,
|
| 175 |
+
"loss": 2.9242,
|
| 176 |
+
"step": 250
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 1.79,
|
| 180 |
+
"learning_rate": 2.5600000000000002e-05,
|
| 181 |
+
"loss": 2.9556,
|
| 182 |
+
"step": 260
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 1.86,
|
| 186 |
+
"learning_rate": 2.6600000000000003e-05,
|
| 187 |
+
"loss": 2.9124,
|
| 188 |
+
"step": 270
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 1.93,
|
| 192 |
+
"learning_rate": 2.7600000000000003e-05,
|
| 193 |
+
"loss": 2.9213,
|
| 194 |
+
"step": 280
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 2.0,
|
| 198 |
+
"learning_rate": 2.86e-05,
|
| 199 |
+
"loss": 2.9496,
|
| 200 |
+
"step": 290
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 2.07,
|
| 204 |
+
"learning_rate": 2.96e-05,
|
| 205 |
+
"loss": 2.9656,
|
| 206 |
+
"step": 300
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 2.07,
|
| 210 |
+
"eval_loss": 2.919543504714966,
|
| 211 |
+
"eval_runtime": 55.4422,
|
| 212 |
+
"eval_samples_per_second": 30.302,
|
| 213 |
+
"eval_steps_per_second": 30.302,
|
| 214 |
+
"eval_wer": 1.0,
|
| 215 |
+
"step": 300
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 2.14,
|
| 219 |
+
"learning_rate": 3.06e-05,
|
| 220 |
+
"loss": 2.8978,
|
| 221 |
+
"step": 310
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 2.21,
|
| 225 |
+
"learning_rate": 3.16e-05,
|
| 226 |
+
"loss": 2.8973,
|
| 227 |
+
"step": 320
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 2.28,
|
| 231 |
+
"learning_rate": 3.26e-05,
|
| 232 |
+
"loss": 2.9267,
|
| 233 |
+
"step": 330
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 2.34,
|
| 237 |
+
"learning_rate": 3.3600000000000004e-05,
|
| 238 |
+
"loss": 2.894,
|
| 239 |
+
"step": 340
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 2.41,
|
| 243 |
+
"learning_rate": 3.46e-05,
|
| 244 |
+
"loss": 2.8864,
|
| 245 |
+
"step": 350
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 2.48,
|
| 249 |
+
"learning_rate": 3.56e-05,
|
| 250 |
+
"loss": 2.8939,
|
| 251 |
+
"step": 360
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 2.55,
|
| 255 |
+
"learning_rate": 3.66e-05,
|
| 256 |
+
"loss": 2.9002,
|
| 257 |
+
"step": 370
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 2.62,
|
| 261 |
+
"learning_rate": 3.76e-05,
|
| 262 |
+
"loss": 2.8699,
|
| 263 |
+
"step": 380
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 2.69,
|
| 267 |
+
"learning_rate": 3.86e-05,
|
| 268 |
+
"loss": 2.8659,
|
| 269 |
+
"step": 390
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 2.76,
|
| 273 |
+
"learning_rate": 3.960000000000001e-05,
|
| 274 |
+
"loss": 2.8946,
|
| 275 |
+
"step": 400
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 2.76,
|
| 279 |
+
"eval_loss": 2.8640990257263184,
|
| 280 |
+
"eval_runtime": 55.3518,
|
| 281 |
+
"eval_samples_per_second": 30.351,
|
| 282 |
+
"eval_steps_per_second": 30.351,
|
| 283 |
+
"eval_wer": 1.0,
|
| 284 |
+
"step": 400
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 2.83,
|
| 288 |
+
"learning_rate": 4.0600000000000004e-05,
|
| 289 |
+
"loss": 2.8589,
|
| 290 |
+
"step": 410
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 2.9,
|
| 294 |
+
"learning_rate": 4.16e-05,
|
| 295 |
+
"loss": 2.8074,
|
| 296 |
+
"step": 420
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 2.97,
|
| 300 |
+
"learning_rate": 4.26e-05,
|
| 301 |
+
"loss": 2.7744,
|
| 302 |
+
"step": 430
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 3.03,
|
| 306 |
+
"learning_rate": 4.36e-05,
|
| 307 |
+
"loss": 2.8088,
|
| 308 |
+
"step": 440
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 3.1,
|
| 312 |
+
"learning_rate": 4.46e-05,
|
| 313 |
+
"loss": 2.6376,
|
| 314 |
+
"step": 450
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 3.17,
|
| 318 |
+
"learning_rate": 4.5600000000000004e-05,
|
| 319 |
+
"loss": 2.5122,
|
| 320 |
+
"step": 460
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 3.24,
|
| 324 |
+
"learning_rate": 4.660000000000001e-05,
|
| 325 |
+
"loss": 2.4022,
|
| 326 |
+
"step": 470
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 3.31,
|
| 330 |
+
"learning_rate": 4.76e-05,
|
| 331 |
+
"loss": 2.3265,
|
| 332 |
+
"step": 480
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 3.38,
|
| 336 |
+
"learning_rate": 4.86e-05,
|
| 337 |
+
"loss": 2.0526,
|
| 338 |
+
"step": 490
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 3.45,
|
| 342 |
+
"learning_rate": 4.96e-05,
|
| 343 |
+
"loss": 1.9305,
|
| 344 |
+
"step": 500
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 3.45,
|
| 348 |
+
"eval_loss": 1.7680213451385498,
|
| 349 |
+
"eval_runtime": 55.2749,
|
| 350 |
+
"eval_samples_per_second": 30.394,
|
| 351 |
+
"eval_steps_per_second": 30.394,
|
| 352 |
+
"eval_wer": 1.0028943560057888,
|
| 353 |
+
"step": 500
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 3.52,
|
| 357 |
+
"learning_rate": 5.0600000000000003e-05,
|
| 358 |
+
"loss": 1.9207,
|
| 359 |
+
"step": 510
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 3.59,
|
| 363 |
+
"learning_rate": 5.16e-05,
|
| 364 |
+
"loss": 1.6255,
|
| 365 |
+
"step": 520
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 3.66,
|
| 369 |
+
"learning_rate": 5.2600000000000005e-05,
|
| 370 |
+
"loss": 1.4896,
|
| 371 |
+
"step": 530
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 3.72,
|
| 375 |
+
"learning_rate": 5.360000000000001e-05,
|
| 376 |
+
"loss": 1.5529,
|
| 377 |
+
"step": 540
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 3.79,
|
| 381 |
+
"learning_rate": 5.4600000000000006e-05,
|
| 382 |
+
"loss": 1.5405,
|
| 383 |
+
"step": 550
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 3.86,
|
| 387 |
+
"learning_rate": 5.560000000000001e-05,
|
| 388 |
+
"loss": 1.2831,
|
| 389 |
+
"step": 560
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 3.93,
|
| 393 |
+
"learning_rate": 5.66e-05,
|
| 394 |
+
"loss": 1.2698,
|
| 395 |
+
"step": 570
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 4.0,
|
| 399 |
+
"learning_rate": 5.76e-05,
|
| 400 |
+
"loss": 1.378,
|
| 401 |
+
"step": 580
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 4.07,
|
| 405 |
+
"learning_rate": 5.86e-05,
|
| 406 |
+
"loss": 1.2493,
|
| 407 |
+
"step": 590
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 4.14,
|
| 411 |
+
"learning_rate": 5.96e-05,
|
| 412 |
+
"loss": 1.0134,
|
| 413 |
+
"step": 600
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 4.14,
|
| 417 |
+
"eval_loss": 1.0184355974197388,
|
| 418 |
+
"eval_runtime": 55.9345,
|
| 419 |
+
"eval_samples_per_second": 30.035,
|
| 420 |
+
"eval_steps_per_second": 30.035,
|
| 421 |
+
"eval_wer": 0.6941630487216595,
|
| 422 |
+
"step": 600
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 4.21,
|
| 426 |
+
"learning_rate": 6.06e-05,
|
| 427 |
+
"loss": 1.0426,
|
| 428 |
+
"step": 610
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 4.28,
|
| 432 |
+
"learning_rate": 6.16e-05,
|
| 433 |
+
"loss": 1.2224,
|
| 434 |
+
"step": 620
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 4.34,
|
| 438 |
+
"learning_rate": 6.26e-05,
|
| 439 |
+
"loss": 0.9292,
|
| 440 |
+
"step": 630
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 4.41,
|
| 444 |
+
"learning_rate": 6.36e-05,
|
| 445 |
+
"loss": 0.9431,
|
| 446 |
+
"step": 640
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 4.48,
|
| 450 |
+
"learning_rate": 6.460000000000001e-05,
|
| 451 |
+
"loss": 1.0235,
|
| 452 |
+
"step": 650
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 4.55,
|
| 456 |
+
"learning_rate": 6.560000000000001e-05,
|
| 457 |
+
"loss": 1.0563,
|
| 458 |
+
"step": 660
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 4.62,
|
| 462 |
+
"learning_rate": 6.66e-05,
|
| 463 |
+
"loss": 0.8267,
|
| 464 |
+
"step": 670
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 4.69,
|
| 468 |
+
"learning_rate": 6.76e-05,
|
| 469 |
+
"loss": 0.9135,
|
| 470 |
+
"step": 680
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 4.76,
|
| 474 |
+
"learning_rate": 6.860000000000001e-05,
|
| 475 |
+
"loss": 1.0406,
|
| 476 |
+
"step": 690
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 4.83,
|
| 480 |
+
"learning_rate": 6.96e-05,
|
| 481 |
+
"loss": 0.8355,
|
| 482 |
+
"step": 700
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 4.83,
|
| 486 |
+
"eval_loss": 0.7769410610198975,
|
| 487 |
+
"eval_runtime": 55.6343,
|
| 488 |
+
"eval_samples_per_second": 30.197,
|
| 489 |
+
"eval_steps_per_second": 30.197,
|
| 490 |
+
"eval_wer": 0.6080215009303287,
|
| 491 |
+
"step": 700
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 4.9,
|
| 495 |
+
"learning_rate": 7.06e-05,
|
| 496 |
+
"loss": 0.7333,
|
| 497 |
+
"step": 710
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 4.97,
|
| 501 |
+
"learning_rate": 7.16e-05,
|
| 502 |
+
"loss": 0.8576,
|
| 503 |
+
"step": 720
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 5.03,
|
| 507 |
+
"learning_rate": 7.26e-05,
|
| 508 |
+
"loss": 0.9464,
|
| 509 |
+
"step": 730
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 5.1,
|
| 513 |
+
"learning_rate": 7.36e-05,
|
| 514 |
+
"loss": 0.6546,
|
| 515 |
+
"step": 740
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 5.17,
|
| 519 |
+
"learning_rate": 7.46e-05,
|
| 520 |
+
"loss": 0.6878,
|
| 521 |
+
"step": 750
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 5.24,
|
| 525 |
+
"learning_rate": 7.560000000000001e-05,
|
| 526 |
+
"loss": 0.8312,
|
| 527 |
+
"step": 760
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 5.31,
|
| 531 |
+
"learning_rate": 7.66e-05,
|
| 532 |
+
"loss": 0.7914,
|
| 533 |
+
"step": 770
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 5.38,
|
| 537 |
+
"learning_rate": 7.76e-05,
|
| 538 |
+
"loss": 0.625,
|
| 539 |
+
"step": 780
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 5.45,
|
| 543 |
+
"learning_rate": 7.860000000000001e-05,
|
| 544 |
+
"loss": 0.671,
|
| 545 |
+
"step": 790
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 5.52,
|
| 549 |
+
"learning_rate": 7.960000000000001e-05,
|
| 550 |
+
"loss": 0.8724,
|
| 551 |
+
"step": 800
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 5.52,
|
| 555 |
+
"eval_loss": 0.7182188034057617,
|
| 556 |
+
"eval_runtime": 55.6008,
|
| 557 |
+
"eval_samples_per_second": 30.215,
|
| 558 |
+
"eval_steps_per_second": 30.215,
|
| 559 |
+
"eval_wer": 0.6035421404451795,
|
| 560 |
+
"step": 800
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 5.59,
|
| 564 |
+
"learning_rate": 8.060000000000001e-05,
|
| 565 |
+
"loss": 0.6512,
|
| 566 |
+
"step": 810
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 5.66,
|
| 570 |
+
"learning_rate": 8.16e-05,
|
| 571 |
+
"loss": 0.5989,
|
| 572 |
+
"step": 820
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 5.72,
|
| 576 |
+
"learning_rate": 8.26e-05,
|
| 577 |
+
"loss": 0.7179,
|
| 578 |
+
"step": 830
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 5.79,
|
| 582 |
+
"learning_rate": 8.36e-05,
|
| 583 |
+
"loss": 0.8365,
|
| 584 |
+
"step": 840
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 5.86,
|
| 588 |
+
"learning_rate": 8.46e-05,
|
| 589 |
+
"loss": 0.5486,
|
| 590 |
+
"step": 850
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 5.93,
|
| 594 |
+
"learning_rate": 8.560000000000001e-05,
|
| 595 |
+
"loss": 0.6065,
|
| 596 |
+
"step": 860
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 6.0,
|
| 600 |
+
"learning_rate": 8.66e-05,
|
| 601 |
+
"loss": 0.7953,
|
| 602 |
+
"step": 870
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 6.07,
|
| 606 |
+
"learning_rate": 8.76e-05,
|
| 607 |
+
"loss": 0.5734,
|
| 608 |
+
"step": 880
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 6.14,
|
| 612 |
+
"learning_rate": 8.86e-05,
|
| 613 |
+
"loss": 0.4909,
|
| 614 |
+
"step": 890
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 6.21,
|
| 618 |
+
"learning_rate": 8.960000000000001e-05,
|
| 619 |
+
"loss": 0.5619,
|
| 620 |
+
"step": 900
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 6.21,
|
| 624 |
+
"eval_loss": 0.6822848916053772,
|
| 625 |
+
"eval_runtime": 56.1503,
|
| 626 |
+
"eval_samples_per_second": 29.92,
|
| 627 |
+
"eval_steps_per_second": 29.92,
|
| 628 |
+
"eval_wer": 0.5406243539383916,
|
| 629 |
+
"step": 900
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 6.28,
|
| 633 |
+
"learning_rate": 9.06e-05,
|
| 634 |
+
"loss": 0.7535,
|
| 635 |
+
"step": 910
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 6.34,
|
| 639 |
+
"learning_rate": 9.16e-05,
|
| 640 |
+
"loss": 0.5114,
|
| 641 |
+
"step": 920
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 6.41,
|
| 645 |
+
"learning_rate": 9.260000000000001e-05,
|
| 646 |
+
"loss": 0.5154,
|
| 647 |
+
"step": 930
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 6.48,
|
| 651 |
+
"learning_rate": 9.360000000000001e-05,
|
| 652 |
+
"loss": 0.6215,
|
| 653 |
+
"step": 940
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 6.55,
|
| 657 |
+
"learning_rate": 9.46e-05,
|
| 658 |
+
"loss": 0.6334,
|
| 659 |
+
"step": 950
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 6.62,
|
| 663 |
+
"learning_rate": 9.56e-05,
|
| 664 |
+
"loss": 0.4418,
|
| 665 |
+
"step": 960
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 6.69,
|
| 669 |
+
"learning_rate": 9.66e-05,
|
| 670 |
+
"loss": 0.4978,
|
| 671 |
+
"step": 970
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 6.76,
|
| 675 |
+
"learning_rate": 9.76e-05,
|
| 676 |
+
"loss": 0.7198,
|
| 677 |
+
"step": 980
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 6.83,
|
| 681 |
+
"learning_rate": 9.86e-05,
|
| 682 |
+
"loss": 0.5381,
|
| 683 |
+
"step": 990
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 6.9,
|
| 687 |
+
"learning_rate": 9.960000000000001e-05,
|
| 688 |
+
"loss": 0.4247,
|
| 689 |
+
"step": 1000
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 6.9,
|
| 693 |
+
"eval_loss": 0.6278514862060547,
|
| 694 |
+
"eval_runtime": 55.8229,
|
| 695 |
+
"eval_samples_per_second": 30.095,
|
| 696 |
+
"eval_steps_per_second": 30.095,
|
| 697 |
+
"eval_wer": 0.5237406105712907,
|
| 698 |
+
"step": 1000
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 6.97,
|
| 702 |
+
"learning_rate": 9.968421052631578e-05,
|
| 703 |
+
"loss": 0.5439,
|
| 704 |
+
"step": 1010
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 7.03,
|
| 708 |
+
"learning_rate": 9.915789473684211e-05,
|
| 709 |
+
"loss": 0.64,
|
| 710 |
+
"step": 1020
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 7.1,
|
| 714 |
+
"learning_rate": 9.863157894736842e-05,
|
| 715 |
+
"loss": 0.3949,
|
| 716 |
+
"step": 1030
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 7.17,
|
| 720 |
+
"learning_rate": 9.810526315789475e-05,
|
| 721 |
+
"loss": 0.4053,
|
| 722 |
+
"step": 1040
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 7.24,
|
| 726 |
+
"learning_rate": 9.757894736842106e-05,
|
| 727 |
+
"loss": 0.5467,
|
| 728 |
+
"step": 1050
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 7.31,
|
| 732 |
+
"learning_rate": 9.705263157894738e-05,
|
| 733 |
+
"loss": 0.5064,
|
| 734 |
+
"step": 1060
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 7.38,
|
| 738 |
+
"learning_rate": 9.652631578947369e-05,
|
| 739 |
+
"loss": 0.3485,
|
| 740 |
+
"step": 1070
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 7.45,
|
| 744 |
+
"learning_rate": 9.6e-05,
|
| 745 |
+
"loss": 0.4358,
|
| 746 |
+
"step": 1080
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 7.52,
|
| 750 |
+
"learning_rate": 9.547368421052632e-05,
|
| 751 |
+
"loss": 0.6029,
|
| 752 |
+
"step": 1090
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 7.59,
|
| 756 |
+
"learning_rate": 9.494736842105264e-05,
|
| 757 |
+
"loss": 0.4257,
|
| 758 |
+
"step": 1100
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 7.59,
|
| 762 |
+
"eval_loss": 0.6055994033813477,
|
| 763 |
+
"eval_runtime": 55.3764,
|
| 764 |
+
"eval_samples_per_second": 30.338,
|
| 765 |
+
"eval_steps_per_second": 30.338,
|
| 766 |
+
"eval_wer": 0.5000344566191165,
|
| 767 |
+
"step": 1100
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 7.66,
|
| 771 |
+
"learning_rate": 9.442105263157895e-05,
|
| 772 |
+
"loss": 0.3649,
|
| 773 |
+
"step": 1110
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 7.72,
|
| 777 |
+
"learning_rate": 9.389473684210527e-05,
|
| 778 |
+
"loss": 0.4477,
|
| 779 |
+
"step": 1120
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 7.79,
|
| 783 |
+
"learning_rate": 9.336842105263158e-05,
|
| 784 |
+
"loss": 0.5411,
|
| 785 |
+
"step": 1130
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 7.86,
|
| 789 |
+
"learning_rate": 9.28421052631579e-05,
|
| 790 |
+
"loss": 0.336,
|
| 791 |
+
"step": 1140
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 7.93,
|
| 795 |
+
"learning_rate": 9.231578947368421e-05,
|
| 796 |
+
"loss": 0.3939,
|
| 797 |
+
"step": 1150
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 8.0,
|
| 801 |
+
"learning_rate": 9.178947368421052e-05,
|
| 802 |
+
"loss": 0.5429,
|
| 803 |
+
"step": 1160
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 8.07,
|
| 807 |
+
"learning_rate": 9.126315789473685e-05,
|
| 808 |
+
"loss": 0.3765,
|
| 809 |
+
"step": 1170
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 8.14,
|
| 813 |
+
"learning_rate": 9.073684210526316e-05,
|
| 814 |
+
"loss": 0.2774,
|
| 815 |
+
"step": 1180
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 8.21,
|
| 819 |
+
"learning_rate": 9.021052631578947e-05,
|
| 820 |
+
"loss": 0.3571,
|
| 821 |
+
"step": 1190
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 8.28,
|
| 825 |
+
"learning_rate": 8.96842105263158e-05,
|
| 826 |
+
"loss": 0.5007,
|
| 827 |
+
"step": 1200
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 8.28,
|
| 831 |
+
"eval_loss": 0.5869982242584229,
|
| 832 |
+
"eval_runtime": 55.5221,
|
| 833 |
+
"eval_samples_per_second": 30.258,
|
| 834 |
+
"eval_steps_per_second": 30.258,
|
| 835 |
+
"eval_wer": 0.4918337812693819,
|
| 836 |
+
"step": 1200
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 8.34,
|
| 840 |
+
"learning_rate": 8.915789473684211e-05,
|
| 841 |
+
"loss": 0.3043,
|
| 842 |
+
"step": 1210
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 8.41,
|
| 846 |
+
"learning_rate": 8.863157894736842e-05,
|
| 847 |
+
"loss": 0.3133,
|
| 848 |
+
"step": 1220
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 8.48,
|
| 852 |
+
"learning_rate": 8.810526315789475e-05,
|
| 853 |
+
"loss": 0.4263,
|
| 854 |
+
"step": 1230
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 8.55,
|
| 858 |
+
"learning_rate": 8.757894736842106e-05,
|
| 859 |
+
"loss": 0.4459,
|
| 860 |
+
"step": 1240
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 8.62,
|
| 864 |
+
"learning_rate": 8.705263157894738e-05,
|
| 865 |
+
"loss": 0.2818,
|
| 866 |
+
"step": 1250
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 8.69,
|
| 870 |
+
"learning_rate": 8.652631578947369e-05,
|
| 871 |
+
"loss": 0.3313,
|
| 872 |
+
"step": 1260
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 8.76,
|
| 876 |
+
"learning_rate": 8.6e-05,
|
| 877 |
+
"loss": 0.4947,
|
| 878 |
+
"step": 1270
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 8.83,
|
| 882 |
+
"learning_rate": 8.547368421052632e-05,
|
| 883 |
+
"loss": 0.323,
|
| 884 |
+
"step": 1280
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 8.9,
|
| 888 |
+
"learning_rate": 8.494736842105263e-05,
|
| 889 |
+
"loss": 0.2867,
|
| 890 |
+
"step": 1290
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 8.97,
|
| 894 |
+
"learning_rate": 8.442105263157896e-05,
|
| 895 |
+
"loss": 0.3854,
|
| 896 |
+
"step": 1300
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 8.97,
|
| 900 |
+
"eval_loss": 0.6200077533721924,
|
| 901 |
+
"eval_runtime": 55.2433,
|
| 902 |
+
"eval_samples_per_second": 30.411,
|
| 903 |
+
"eval_steps_per_second": 30.411,
|
| 904 |
+
"eval_wer": 0.4803941837226931,
|
| 905 |
+
"step": 1300
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 9.03,
|
| 909 |
+
"learning_rate": 8.389473684210527e-05,
|
| 910 |
+
"loss": 0.4356,
|
| 911 |
+
"step": 1310
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 9.1,
|
| 915 |
+
"learning_rate": 8.336842105263158e-05,
|
| 916 |
+
"loss": 0.2332,
|
| 917 |
+
"step": 1320
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 9.17,
|
| 921 |
+
"learning_rate": 8.28421052631579e-05,
|
| 922 |
+
"loss": 0.2656,
|
| 923 |
+
"step": 1330
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 9.24,
|
| 927 |
+
"learning_rate": 8.231578947368421e-05,
|
| 928 |
+
"loss": 0.3761,
|
| 929 |
+
"step": 1340
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 9.31,
|
| 933 |
+
"learning_rate": 8.178947368421052e-05,
|
| 934 |
+
"loss": 0.3593,
|
| 935 |
+
"step": 1350
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 9.38,
|
| 939 |
+
"learning_rate": 8.126315789473685e-05,
|
| 940 |
+
"loss": 0.2388,
|
| 941 |
+
"step": 1360
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 9.45,
|
| 945 |
+
"learning_rate": 8.073684210526316e-05,
|
| 946 |
+
"loss": 0.2869,
|
| 947 |
+
"step": 1370
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 9.52,
|
| 951 |
+
"learning_rate": 8.021052631578949e-05,
|
| 952 |
+
"loss": 0.4014,
|
| 953 |
+
"step": 1380
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 9.59,
|
| 957 |
+
"learning_rate": 7.96842105263158e-05,
|
| 958 |
+
"loss": 0.2585,
|
| 959 |
+
"step": 1390
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 9.66,
|
| 963 |
+
"learning_rate": 7.915789473684211e-05,
|
| 964 |
+
"loss": 0.264,
|
| 965 |
+
"step": 1400
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 9.66,
|
| 969 |
+
"eval_loss": 0.6030145883560181,
|
| 970 |
+
"eval_runtime": 55.5584,
|
| 971 |
+
"eval_samples_per_second": 30.238,
|
| 972 |
+
"eval_steps_per_second": 30.238,
|
| 973 |
+
"eval_wer": 0.459995865205706,
|
| 974 |
+
"step": 1400
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 9.72,
|
| 978 |
+
"learning_rate": 7.863157894736843e-05,
|
| 979 |
+
"loss": 0.3439,
|
| 980 |
+
"step": 1410
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 9.79,
|
| 984 |
+
"learning_rate": 7.810526315789474e-05,
|
| 985 |
+
"loss": 0.3895,
|
| 986 |
+
"step": 1420
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 9.86,
|
| 990 |
+
"learning_rate": 7.757894736842105e-05,
|
| 991 |
+
"loss": 0.2278,
|
| 992 |
+
"step": 1430
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 9.93,
|
| 996 |
+
"learning_rate": 7.705263157894738e-05,
|
| 997 |
+
"loss": 0.2772,
|
| 998 |
+
"step": 1440
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 10.0,
|
| 1002 |
+
"learning_rate": 7.652631578947369e-05,
|
| 1003 |
+
"loss": 0.3984,
|
| 1004 |
+
"step": 1450
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 10.07,
|
| 1008 |
+
"learning_rate": 7.6e-05,
|
| 1009 |
+
"loss": 0.2493,
|
| 1010 |
+
"step": 1460
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 10.14,
|
| 1014 |
+
"learning_rate": 7.547368421052632e-05,
|
| 1015 |
+
"loss": 0.2003,
|
| 1016 |
+
"step": 1470
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 10.21,
|
| 1020 |
+
"learning_rate": 7.494736842105263e-05,
|
| 1021 |
+
"loss": 0.2734,
|
| 1022 |
+
"step": 1480
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 10.28,
|
| 1026 |
+
"learning_rate": 7.442105263157894e-05,
|
| 1027 |
+
"loss": 0.3931,
|
| 1028 |
+
"step": 1490
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 10.34,
|
| 1032 |
+
"learning_rate": 7.389473684210527e-05,
|
| 1033 |
+
"loss": 0.1989,
|
| 1034 |
+
"step": 1500
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 10.34,
|
| 1038 |
+
"eval_loss": 0.6049150228500366,
|
| 1039 |
+
"eval_runtime": 55.7466,
|
| 1040 |
+
"eval_samples_per_second": 30.136,
|
| 1041 |
+
"eval_steps_per_second": 30.136,
|
| 1042 |
+
"eval_wer": 0.45875542691751087,
|
| 1043 |
+
"step": 1500
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 10.41,
|
| 1047 |
+
"learning_rate": 7.336842105263158e-05,
|
| 1048 |
+
"loss": 0.218,
|
| 1049 |
+
"step": 1510
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 10.48,
|
| 1053 |
+
"learning_rate": 7.28421052631579e-05,
|
| 1054 |
+
"loss": 0.3049,
|
| 1055 |
+
"step": 1520
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 10.55,
|
| 1059 |
+
"learning_rate": 7.231578947368421e-05,
|
| 1060 |
+
"loss": 0.3151,
|
| 1061 |
+
"step": 1530
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 10.62,
|
| 1065 |
+
"learning_rate": 7.178947368421054e-05,
|
| 1066 |
+
"loss": 0.2026,
|
| 1067 |
+
"step": 1540
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 10.69,
|
| 1071 |
+
"learning_rate": 7.126315789473685e-05,
|
| 1072 |
+
"loss": 0.2733,
|
| 1073 |
+
"step": 1550
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 10.76,
|
| 1077 |
+
"learning_rate": 7.073684210526316e-05,
|
| 1078 |
+
"loss": 0.3534,
|
| 1079 |
+
"step": 1560
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 10.83,
|
| 1083 |
+
"learning_rate": 7.021052631578949e-05,
|
| 1084 |
+
"loss": 0.2302,
|
| 1085 |
+
"step": 1570
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 10.9,
|
| 1089 |
+
"learning_rate": 6.96842105263158e-05,
|
| 1090 |
+
"loss": 0.2019,
|
| 1091 |
+
"step": 1580
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 10.97,
|
| 1095 |
+
"learning_rate": 6.915789473684211e-05,
|
| 1096 |
+
"loss": 0.2623,
|
| 1097 |
+
"step": 1590
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 11.03,
|
| 1101 |
+
"learning_rate": 6.863157894736843e-05,
|
| 1102 |
+
"loss": 0.3196,
|
| 1103 |
+
"step": 1600
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 11.03,
|
| 1107 |
+
"eval_loss": 0.5946373343467712,
|
| 1108 |
+
"eval_runtime": 55.8167,
|
| 1109 |
+
"eval_samples_per_second": 30.099,
|
| 1110 |
+
"eval_steps_per_second": 30.099,
|
| 1111 |
+
"eval_wer": 0.45992695196747296,
|
| 1112 |
+
"step": 1600
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 11.1,
|
| 1116 |
+
"learning_rate": 6.810526315789474e-05,
|
| 1117 |
+
"loss": 0.171,
|
| 1118 |
+
"step": 1610
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 11.17,
|
| 1122 |
+
"learning_rate": 6.757894736842105e-05,
|
| 1123 |
+
"loss": 0.1797,
|
| 1124 |
+
"step": 1620
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 11.24,
|
| 1128 |
+
"learning_rate": 6.705263157894737e-05,
|
| 1129 |
+
"loss": 0.3063,
|
| 1130 |
+
"step": 1630
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 11.31,
|
| 1134 |
+
"learning_rate": 6.652631578947369e-05,
|
| 1135 |
+
"loss": 0.2461,
|
| 1136 |
+
"step": 1640
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 11.38,
|
| 1140 |
+
"learning_rate": 6.6e-05,
|
| 1141 |
+
"loss": 0.1774,
|
| 1142 |
+
"step": 1650
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 11.45,
|
| 1146 |
+
"learning_rate": 6.547368421052632e-05,
|
| 1147 |
+
"loss": 0.2203,
|
| 1148 |
+
"step": 1660
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 11.52,
|
| 1152 |
+
"learning_rate": 6.494736842105263e-05,
|
| 1153 |
+
"loss": 0.3276,
|
| 1154 |
+
"step": 1670
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 11.59,
|
| 1158 |
+
"learning_rate": 6.442105263157894e-05,
|
| 1159 |
+
"loss": 0.185,
|
| 1160 |
+
"step": 1680
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 11.66,
|
| 1164 |
+
"learning_rate": 6.389473684210526e-05,
|
| 1165 |
+
"loss": 0.1844,
|
| 1166 |
+
"step": 1690
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 11.72,
|
| 1170 |
+
"learning_rate": 6.336842105263158e-05,
|
| 1171 |
+
"loss": 0.2622,
|
| 1172 |
+
"step": 1700
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 11.72,
|
| 1176 |
+
"eval_loss": 0.6282255053520203,
|
| 1177 |
+
"eval_runtime": 56.2007,
|
| 1178 |
+
"eval_samples_per_second": 29.893,
|
| 1179 |
+
"eval_steps_per_second": 29.893,
|
| 1180 |
+
"eval_wer": 0.44221624974157536,
|
| 1181 |
+
"step": 1700
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 11.79,
|
| 1185 |
+
"learning_rate": 6.28421052631579e-05,
|
| 1186 |
+
"loss": 0.2972,
|
| 1187 |
+
"step": 1710
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 11.86,
|
| 1191 |
+
"learning_rate": 6.231578947368422e-05,
|
| 1192 |
+
"loss": 0.1421,
|
| 1193 |
+
"step": 1720
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 11.93,
|
| 1197 |
+
"learning_rate": 6.178947368421054e-05,
|
| 1198 |
+
"loss": 0.234,
|
| 1199 |
+
"step": 1730
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 12.0,
|
| 1203 |
+
"learning_rate": 6.126315789473685e-05,
|
| 1204 |
+
"loss": 0.3268,
|
| 1205 |
+
"step": 1740
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 12.07,
|
| 1209 |
+
"learning_rate": 6.073684210526316e-05,
|
| 1210 |
+
"loss": 0.181,
|
| 1211 |
+
"step": 1750
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 12.14,
|
| 1215 |
+
"learning_rate": 6.0210526315789475e-05,
|
| 1216 |
+
"loss": 0.1642,
|
| 1217 |
+
"step": 1760
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 12.21,
|
| 1221 |
+
"learning_rate": 5.968421052631579e-05,
|
| 1222 |
+
"loss": 0.2088,
|
| 1223 |
+
"step": 1770
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 12.28,
|
| 1227 |
+
"learning_rate": 5.9157894736842114e-05,
|
| 1228 |
+
"loss": 0.2914,
|
| 1229 |
+
"step": 1780
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 12.34,
|
| 1233 |
+
"learning_rate": 5.863157894736843e-05,
|
| 1234 |
+
"loss": 0.1558,
|
| 1235 |
+
"step": 1790
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 12.41,
|
| 1239 |
+
"learning_rate": 5.810526315789474e-05,
|
| 1240 |
+
"loss": 0.1697,
|
| 1241 |
+
"step": 1800
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 12.41,
|
| 1245 |
+
"eval_loss": 0.655932605266571,
|
| 1246 |
+
"eval_runtime": 56.1286,
|
| 1247 |
+
"eval_samples_per_second": 29.931,
|
| 1248 |
+
"eval_steps_per_second": 29.931,
|
| 1249 |
+
"eval_wer": 0.4413203776445455,
|
| 1250 |
+
"step": 1800
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 12.48,
|
| 1254 |
+
"learning_rate": 5.7578947368421053e-05,
|
| 1255 |
+
"loss": 0.2814,
|
| 1256 |
+
"step": 1810
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 12.55,
|
| 1260 |
+
"learning_rate": 5.7052631578947366e-05,
|
| 1261 |
+
"loss": 0.243,
|
| 1262 |
+
"step": 1820
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 12.62,
|
| 1266 |
+
"learning_rate": 5.652631578947368e-05,
|
| 1267 |
+
"loss": 0.1452,
|
| 1268 |
+
"step": 1830
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 12.69,
|
| 1272 |
+
"learning_rate": 5.6000000000000006e-05,
|
| 1273 |
+
"loss": 0.1819,
|
| 1274 |
+
"step": 1840
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 12.76,
|
| 1278 |
+
"learning_rate": 5.547368421052632e-05,
|
| 1279 |
+
"loss": 0.2672,
|
| 1280 |
+
"step": 1850
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 12.83,
|
| 1284 |
+
"learning_rate": 5.494736842105264e-05,
|
| 1285 |
+
"loss": 0.166,
|
| 1286 |
+
"step": 1860
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 12.9,
|
| 1290 |
+
"learning_rate": 5.442105263157895e-05,
|
| 1291 |
+
"loss": 0.1595,
|
| 1292 |
+
"step": 1870
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 12.97,
|
| 1296 |
+
"learning_rate": 5.3894736842105265e-05,
|
| 1297 |
+
"loss": 0.2145,
|
| 1298 |
+
"step": 1880
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 13.03,
|
| 1302 |
+
"learning_rate": 5.336842105263158e-05,
|
| 1303 |
+
"loss": 0.2245,
|
| 1304 |
+
"step": 1890
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 13.1,
|
| 1308 |
+
"learning_rate": 5.284210526315789e-05,
|
| 1309 |
+
"loss": 0.1464,
|
| 1310 |
+
"step": 1900
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 13.1,
|
| 1314 |
+
"eval_loss": 0.6348641514778137,
|
| 1315 |
+
"eval_runtime": 55.8927,
|
| 1316 |
+
"eval_samples_per_second": 30.058,
|
| 1317 |
+
"eval_steps_per_second": 30.058,
|
| 1318 |
+
"eval_wer": 0.4327751361036455,
|
| 1319 |
+
"step": 1900
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 13.17,
|
| 1323 |
+
"learning_rate": 5.231578947368422e-05,
|
| 1324 |
+
"loss": 0.1798,
|
| 1325 |
+
"step": 1910
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 13.24,
|
| 1329 |
+
"learning_rate": 5.178947368421053e-05,
|
| 1330 |
+
"loss": 0.2327,
|
| 1331 |
+
"step": 1920
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 13.31,
|
| 1335 |
+
"learning_rate": 5.126315789473684e-05,
|
| 1336 |
+
"loss": 0.1854,
|
| 1337 |
+
"step": 1930
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 13.38,
|
| 1341 |
+
"learning_rate": 5.073684210526316e-05,
|
| 1342 |
+
"loss": 0.1386,
|
| 1343 |
+
"step": 1940
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 13.45,
|
| 1347 |
+
"learning_rate": 5.0210526315789476e-05,
|
| 1348 |
+
"loss": 0.1891,
|
| 1349 |
+
"step": 1950
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 13.52,
|
| 1353 |
+
"learning_rate": 4.9684210526315796e-05,
|
| 1354 |
+
"loss": 0.2851,
|
| 1355 |
+
"step": 1960
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 13.59,
|
| 1359 |
+
"learning_rate": 4.915789473684211e-05,
|
| 1360 |
+
"loss": 0.1592,
|
| 1361 |
+
"step": 1970
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 13.66,
|
| 1365 |
+
"learning_rate": 4.863157894736842e-05,
|
| 1366 |
+
"loss": 0.1503,
|
| 1367 |
+
"step": 1980
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 13.72,
|
| 1371 |
+
"learning_rate": 4.8105263157894735e-05,
|
| 1372 |
+
"loss": 0.232,
|
| 1373 |
+
"step": 1990
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 13.79,
|
| 1377 |
+
"learning_rate": 4.7578947368421054e-05,
|
| 1378 |
+
"loss": 0.2277,
|
| 1379 |
+
"step": 2000
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 13.79,
|
| 1383 |
+
"eval_loss": 0.6132542490959167,
|
| 1384 |
+
"eval_runtime": 56.1305,
|
| 1385 |
+
"eval_samples_per_second": 29.93,
|
| 1386 |
+
"eval_steps_per_second": 29.93,
|
| 1387 |
+
"eval_wer": 0.4283646888567294,
|
| 1388 |
+
"step": 2000
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 13.86,
|
| 1392 |
+
"learning_rate": 4.705263157894737e-05,
|
| 1393 |
+
"loss": 0.1354,
|
| 1394 |
+
"step": 2010
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 13.93,
|
| 1398 |
+
"learning_rate": 4.652631578947369e-05,
|
| 1399 |
+
"loss": 0.1661,
|
| 1400 |
+
"step": 2020
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 14.0,
|
| 1404 |
+
"learning_rate": 4.600000000000001e-05,
|
| 1405 |
+
"loss": 0.2663,
|
| 1406 |
+
"step": 2030
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 14.07,
|
| 1410 |
+
"learning_rate": 4.547368421052632e-05,
|
| 1411 |
+
"loss": 0.1451,
|
| 1412 |
+
"step": 2040
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 14.14,
|
| 1416 |
+
"learning_rate": 4.494736842105263e-05,
|
| 1417 |
+
"loss": 0.1315,
|
| 1418 |
+
"step": 2050
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 14.21,
|
| 1422 |
+
"learning_rate": 4.442105263157895e-05,
|
| 1423 |
+
"loss": 0.1791,
|
| 1424 |
+
"step": 2060
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 14.28,
|
| 1428 |
+
"learning_rate": 4.3894736842105266e-05,
|
| 1429 |
+
"loss": 0.2521,
|
| 1430 |
+
"step": 2070
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 14.34,
|
| 1434 |
+
"learning_rate": 4.336842105263158e-05,
|
| 1435 |
+
"loss": 0.1194,
|
| 1436 |
+
"step": 2080
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 14.41,
|
| 1440 |
+
"learning_rate": 4.284210526315789e-05,
|
| 1441 |
+
"loss": 0.1591,
|
| 1442 |
+
"step": 2090
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 14.48,
|
| 1446 |
+
"learning_rate": 4.231578947368421e-05,
|
| 1447 |
+
"loss": 0.221,
|
| 1448 |
+
"step": 2100
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 14.48,
|
| 1452 |
+
"eval_loss": 0.6617235541343689,
|
| 1453 |
+
"eval_runtime": 56.1176,
|
| 1454 |
+
"eval_samples_per_second": 29.937,
|
| 1455 |
+
"eval_steps_per_second": 29.937,
|
| 1456 |
+
"eval_wer": 0.4218868444628213,
|
| 1457 |
+
"step": 2100
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 14.55,
|
| 1461 |
+
"learning_rate": 4.178947368421053e-05,
|
| 1462 |
+
"loss": 0.2025,
|
| 1463 |
+
"step": 2110
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 14.62,
|
| 1467 |
+
"learning_rate": 4.1263157894736844e-05,
|
| 1468 |
+
"loss": 0.1239,
|
| 1469 |
+
"step": 2120
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 14.69,
|
| 1473 |
+
"learning_rate": 4.0736842105263164e-05,
|
| 1474 |
+
"loss": 0.1833,
|
| 1475 |
+
"step": 2130
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 14.76,
|
| 1479 |
+
"learning_rate": 4.021052631578948e-05,
|
| 1480 |
+
"loss": 0.2398,
|
| 1481 |
+
"step": 2140
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 14.83,
|
| 1485 |
+
"learning_rate": 3.968421052631579e-05,
|
| 1486 |
+
"loss": 0.1389,
|
| 1487 |
+
"step": 2150
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 14.9,
|
| 1491 |
+
"learning_rate": 3.91578947368421e-05,
|
| 1492 |
+
"loss": 0.1291,
|
| 1493 |
+
"step": 2160
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 14.97,
|
| 1497 |
+
"learning_rate": 3.863157894736842e-05,
|
| 1498 |
+
"loss": 0.1669,
|
| 1499 |
+
"step": 2170
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 15.03,
|
| 1503 |
+
"learning_rate": 3.8105263157894735e-05,
|
| 1504 |
+
"loss": 0.2176,
|
| 1505 |
+
"step": 2180
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 15.1,
|
| 1509 |
+
"learning_rate": 3.7578947368421055e-05,
|
| 1510 |
+
"loss": 0.1196,
|
| 1511 |
+
"step": 2190
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 15.17,
|
| 1515 |
+
"learning_rate": 3.7052631578947375e-05,
|
| 1516 |
+
"loss": 0.1391,
|
| 1517 |
+
"step": 2200
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 15.17,
|
| 1521 |
+
"eval_loss": 0.6704933643341064,
|
| 1522 |
+
"eval_runtime": 55.8352,
|
| 1523 |
+
"eval_samples_per_second": 30.089,
|
| 1524 |
+
"eval_steps_per_second": 30.089,
|
| 1525 |
+
"eval_wer": 0.4234718489421818,
|
| 1526 |
+
"step": 2200
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 15.24,
|
| 1530 |
+
"learning_rate": 3.652631578947369e-05,
|
| 1531 |
+
"loss": 0.2142,
|
| 1532 |
+
"step": 2210
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 15.31,
|
| 1536 |
+
"learning_rate": 3.6e-05,
|
| 1537 |
+
"loss": 0.1519,
|
| 1538 |
+
"step": 2220
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 15.38,
|
| 1542 |
+
"learning_rate": 3.547368421052632e-05,
|
| 1543 |
+
"loss": 0.1236,
|
| 1544 |
+
"step": 2230
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 15.45,
|
| 1548 |
+
"learning_rate": 3.4947368421052634e-05,
|
| 1549 |
+
"loss": 0.1452,
|
| 1550 |
+
"step": 2240
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 15.52,
|
| 1554 |
+
"learning_rate": 3.442105263157895e-05,
|
| 1555 |
+
"loss": 0.2405,
|
| 1556 |
+
"step": 2250
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 15.59,
|
| 1560 |
+
"learning_rate": 3.389473684210526e-05,
|
| 1561 |
+
"loss": 0.1229,
|
| 1562 |
+
"step": 2260
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 15.66,
|
| 1566 |
+
"learning_rate": 3.336842105263158e-05,
|
| 1567 |
+
"loss": 0.1357,
|
| 1568 |
+
"step": 2270
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 15.72,
|
| 1572 |
+
"learning_rate": 3.28421052631579e-05,
|
| 1573 |
+
"loss": 0.2144,
|
| 1574 |
+
"step": 2280
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 15.79,
|
| 1578 |
+
"learning_rate": 3.231578947368421e-05,
|
| 1579 |
+
"loss": 0.192,
|
| 1580 |
+
"step": 2290
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 15.86,
|
| 1584 |
+
"learning_rate": 3.178947368421053e-05,
|
| 1585 |
+
"loss": 0.112,
|
| 1586 |
+
"step": 2300
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 15.86,
|
| 1590 |
+
"eval_loss": 0.6207090616226196,
|
| 1591 |
+
"eval_runtime": 56.0432,
|
| 1592 |
+
"eval_samples_per_second": 29.977,
|
| 1593 |
+
"eval_steps_per_second": 29.977,
|
| 1594 |
+
"eval_wer": 0.4218179312245882,
|
| 1595 |
+
"step": 2300
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 15.93,
|
| 1599 |
+
"learning_rate": 3.1263157894736845e-05,
|
| 1600 |
+
"loss": 0.1391,
|
| 1601 |
+
"step": 2310
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 16.0,
|
| 1605 |
+
"learning_rate": 3.073684210526316e-05,
|
| 1606 |
+
"loss": 0.2383,
|
| 1607 |
+
"step": 2320
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 16.07,
|
| 1611 |
+
"learning_rate": 3.021052631578947e-05,
|
| 1612 |
+
"loss": 0.1233,
|
| 1613 |
+
"step": 2330
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 16.14,
|
| 1617 |
+
"learning_rate": 2.968421052631579e-05,
|
| 1618 |
+
"loss": 0.1164,
|
| 1619 |
+
"step": 2340
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 16.21,
|
| 1623 |
+
"learning_rate": 2.9157894736842107e-05,
|
| 1624 |
+
"loss": 0.1582,
|
| 1625 |
+
"step": 2350
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 16.28,
|
| 1629 |
+
"learning_rate": 2.863157894736842e-05,
|
| 1630 |
+
"loss": 0.2145,
|
| 1631 |
+
"step": 2360
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 16.34,
|
| 1635 |
+
"learning_rate": 2.810526315789474e-05,
|
| 1636 |
+
"loss": 0.1143,
|
| 1637 |
+
"step": 2370
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 16.41,
|
| 1641 |
+
"learning_rate": 2.7578947368421053e-05,
|
| 1642 |
+
"loss": 0.1321,
|
| 1643 |
+
"step": 2380
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 16.48,
|
| 1647 |
+
"learning_rate": 2.705263157894737e-05,
|
| 1648 |
+
"loss": 0.1853,
|
| 1649 |
+
"step": 2390
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 16.55,
|
| 1653 |
+
"learning_rate": 2.652631578947369e-05,
|
| 1654 |
+
"loss": 0.1717,
|
| 1655 |
+
"step": 2400
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 16.55,
|
| 1659 |
+
"eval_loss": 0.6749277710914612,
|
| 1660 |
+
"eval_runtime": 56.2422,
|
| 1661 |
+
"eval_samples_per_second": 29.871,
|
| 1662 |
+
"eval_steps_per_second": 29.871,
|
| 1663 |
+
"eval_wer": 0.41837226931293503,
|
| 1664 |
+
"step": 2400
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 16.62,
|
| 1668 |
+
"learning_rate": 2.6000000000000002e-05,
|
| 1669 |
+
"loss": 0.1022,
|
| 1670 |
+
"step": 2410
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 16.69,
|
| 1674 |
+
"learning_rate": 2.5473684210526315e-05,
|
| 1675 |
+
"loss": 0.1444,
|
| 1676 |
+
"step": 2420
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 16.76,
|
| 1680 |
+
"learning_rate": 2.4947368421052635e-05,
|
| 1681 |
+
"loss": 0.221,
|
| 1682 |
+
"step": 2430
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 16.83,
|
| 1686 |
+
"learning_rate": 2.4421052631578948e-05,
|
| 1687 |
+
"loss": 0.1304,
|
| 1688 |
+
"step": 2440
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 16.9,
|
| 1692 |
+
"learning_rate": 2.3894736842105264e-05,
|
| 1693 |
+
"loss": 0.1238,
|
| 1694 |
+
"step": 2450
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 16.97,
|
| 1698 |
+
"learning_rate": 2.336842105263158e-05,
|
| 1699 |
+
"loss": 0.1517,
|
| 1700 |
+
"step": 2460
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 17.03,
|
| 1704 |
+
"learning_rate": 2.2842105263157897e-05,
|
| 1705 |
+
"loss": 0.1952,
|
| 1706 |
+
"step": 2470
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 17.1,
|
| 1710 |
+
"learning_rate": 2.2315789473684213e-05,
|
| 1711 |
+
"loss": 0.0988,
|
| 1712 |
+
"step": 2480
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 17.17,
|
| 1716 |
+
"learning_rate": 2.1789473684210526e-05,
|
| 1717 |
+
"loss": 0.1344,
|
| 1718 |
+
"step": 2490
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 17.24,
|
| 1722 |
+
"learning_rate": 2.1263157894736842e-05,
|
| 1723 |
+
"loss": 0.2081,
|
| 1724 |
+
"step": 2500
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 17.24,
|
| 1728 |
+
"eval_loss": 0.6755503416061401,
|
| 1729 |
+
"eval_runtime": 56.1675,
|
| 1730 |
+
"eval_samples_per_second": 29.911,
|
| 1731 |
+
"eval_steps_per_second": 29.911,
|
| 1732 |
+
"eval_wer": 0.4168561780718076,
|
| 1733 |
+
"step": 2500
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 17.31,
|
| 1737 |
+
"learning_rate": 2.073684210526316e-05,
|
| 1738 |
+
"loss": 0.1461,
|
| 1739 |
+
"step": 2510
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 17.38,
|
| 1743 |
+
"learning_rate": 2.0210526315789475e-05,
|
| 1744 |
+
"loss": 0.0932,
|
| 1745 |
+
"step": 2520
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 17.45,
|
| 1749 |
+
"learning_rate": 1.968421052631579e-05,
|
| 1750 |
+
"loss": 0.1341,
|
| 1751 |
+
"step": 2530
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 17.52,
|
| 1755 |
+
"learning_rate": 1.9157894736842104e-05,
|
| 1756 |
+
"loss": 0.1959,
|
| 1757 |
+
"step": 2540
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 17.59,
|
| 1761 |
+
"learning_rate": 1.863157894736842e-05,
|
| 1762 |
+
"loss": 0.1091,
|
| 1763 |
+
"step": 2550
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 17.66,
|
| 1767 |
+
"learning_rate": 1.810526315789474e-05,
|
| 1768 |
+
"loss": 0.1192,
|
| 1769 |
+
"step": 2560
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 17.72,
|
| 1773 |
+
"learning_rate": 1.7578947368421054e-05,
|
| 1774 |
+
"loss": 0.1698,
|
| 1775 |
+
"step": 2570
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 17.79,
|
| 1779 |
+
"learning_rate": 1.705263157894737e-05,
|
| 1780 |
+
"loss": 0.1667,
|
| 1781 |
+
"step": 2580
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 17.86,
|
| 1785 |
+
"learning_rate": 1.6526315789473683e-05,
|
| 1786 |
+
"loss": 0.1047,
|
| 1787 |
+
"step": 2590
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 17.93,
|
| 1791 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 1792 |
+
"loss": 0.1244,
|
| 1793 |
+
"step": 2600
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 17.93,
|
| 1797 |
+
"eval_loss": 0.6749771237373352,
|
| 1798 |
+
"eval_runtime": 56.0157,
|
| 1799 |
+
"eval_samples_per_second": 29.992,
|
| 1800 |
+
"eval_steps_per_second": 29.992,
|
| 1801 |
+
"eval_wer": 0.4180966163600028,
|
| 1802 |
+
"step": 2600
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 18.0,
|
| 1806 |
+
"learning_rate": 1.5473684210526316e-05,
|
| 1807 |
+
"loss": 0.1953,
|
| 1808 |
+
"step": 2610
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 18.07,
|
| 1812 |
+
"learning_rate": 1.4947368421052632e-05,
|
| 1813 |
+
"loss": 0.1092,
|
| 1814 |
+
"step": 2620
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 18.14,
|
| 1818 |
+
"learning_rate": 1.4421052631578948e-05,
|
| 1819 |
+
"loss": 0.1035,
|
| 1820 |
+
"step": 2630
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 18.21,
|
| 1824 |
+
"learning_rate": 1.3894736842105263e-05,
|
| 1825 |
+
"loss": 0.1416,
|
| 1826 |
+
"step": 2640
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 18.28,
|
| 1830 |
+
"learning_rate": 1.336842105263158e-05,
|
| 1831 |
+
"loss": 0.1985,
|
| 1832 |
+
"step": 2650
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 18.34,
|
| 1836 |
+
"learning_rate": 1.2842105263157894e-05,
|
| 1837 |
+
"loss": 0.1042,
|
| 1838 |
+
"step": 2660
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 18.41,
|
| 1842 |
+
"learning_rate": 1.231578947368421e-05,
|
| 1843 |
+
"loss": 0.1152,
|
| 1844 |
+
"step": 2670
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 18.48,
|
| 1848 |
+
"learning_rate": 1.1789473684210527e-05,
|
| 1849 |
+
"loss": 0.1832,
|
| 1850 |
+
"step": 2680
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 18.55,
|
| 1854 |
+
"learning_rate": 1.1263157894736842e-05,
|
| 1855 |
+
"loss": 0.1471,
|
| 1856 |
+
"step": 2690
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 18.62,
|
| 1860 |
+
"learning_rate": 1.073684210526316e-05,
|
| 1861 |
+
"loss": 0.0978,
|
| 1862 |
+
"step": 2700
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 18.62,
|
| 1866 |
+
"eval_loss": 0.6500299572944641,
|
| 1867 |
+
"eval_runtime": 56.1111,
|
| 1868 |
+
"eval_samples_per_second": 29.941,
|
| 1869 |
+
"eval_steps_per_second": 29.941,
|
| 1870 |
+
"eval_wer": 0.41148094548962855,
|
| 1871 |
+
"step": 2700
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 18.69,
|
| 1875 |
+
"learning_rate": 1.0210526315789474e-05,
|
| 1876 |
+
"loss": 0.145,
|
| 1877 |
+
"step": 2710
|
| 1878 |
+
},
|
| 1879 |
+
{
|
| 1880 |
+
"epoch": 18.76,
|
| 1881 |
+
"learning_rate": 9.68421052631579e-06,
|
| 1882 |
+
"loss": 0.1861,
|
| 1883 |
+
"step": 2720
|
| 1884 |
+
},
|
| 1885 |
+
{
|
| 1886 |
+
"epoch": 18.83,
|
| 1887 |
+
"learning_rate": 9.157894736842105e-06,
|
| 1888 |
+
"loss": 0.0956,
|
| 1889 |
+
"step": 2730
|
| 1890 |
+
},
|
| 1891 |
+
{
|
| 1892 |
+
"epoch": 18.9,
|
| 1893 |
+
"learning_rate": 8.631578947368422e-06,
|
| 1894 |
+
"loss": 0.121,
|
| 1895 |
+
"step": 2740
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"epoch": 18.97,
|
| 1899 |
+
"learning_rate": 8.105263157894736e-06,
|
| 1900 |
+
"loss": 0.1625,
|
| 1901 |
+
"step": 2750
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 19.03,
|
| 1905 |
+
"learning_rate": 7.578947368421054e-06,
|
| 1906 |
+
"loss": 0.1652,
|
| 1907 |
+
"step": 2760
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 19.1,
|
| 1911 |
+
"learning_rate": 7.052631578947369e-06,
|
| 1912 |
+
"loss": 0.0894,
|
| 1913 |
+
"step": 2770
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 19.17,
|
| 1917 |
+
"learning_rate": 6.526315789473685e-06,
|
| 1918 |
+
"loss": 0.1145,
|
| 1919 |
+
"step": 2780
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 19.24,
|
| 1923 |
+
"learning_rate": 6e-06,
|
| 1924 |
+
"loss": 0.1903,
|
| 1925 |
+
"step": 2790
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 19.31,
|
| 1929 |
+
"learning_rate": 5.4736842105263165e-06,
|
| 1930 |
+
"loss": 0.128,
|
| 1931 |
+
"step": 2800
|
| 1932 |
+
},
|
| 1933 |
+
{
|
| 1934 |
+
"epoch": 19.31,
|
| 1935 |
+
"eval_loss": 0.6750107407569885,
|
| 1936 |
+
"eval_runtime": 55.7297,
|
| 1937 |
+
"eval_samples_per_second": 30.146,
|
| 1938 |
+
"eval_steps_per_second": 30.146,
|
| 1939 |
+
"eval_wer": 0.4105850733925987,
|
| 1940 |
+
"step": 2800
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 19.38,
|
| 1944 |
+
"learning_rate": 4.947368421052632e-06,
|
| 1945 |
+
"loss": 0.0957,
|
| 1946 |
+
"step": 2810
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 19.45,
|
| 1950 |
+
"learning_rate": 4.4210526315789476e-06,
|
| 1951 |
+
"loss": 0.1292,
|
| 1952 |
+
"step": 2820
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 19.52,
|
| 1956 |
+
"learning_rate": 3.894736842105264e-06,
|
| 1957 |
+
"loss": 0.1641,
|
| 1958 |
+
"step": 2830
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 19.59,
|
| 1962 |
+
"learning_rate": 3.368421052631579e-06,
|
| 1963 |
+
"loss": 0.0968,
|
| 1964 |
+
"step": 2840
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 19.66,
|
| 1968 |
+
"learning_rate": 2.842105263157895e-06,
|
| 1969 |
+
"loss": 0.1,
|
| 1970 |
+
"step": 2850
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 19.72,
|
| 1974 |
+
"learning_rate": 2.315789473684211e-06,
|
| 1975 |
+
"loss": 0.1546,
|
| 1976 |
+
"step": 2860
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 19.79,
|
| 1980 |
+
"learning_rate": 1.7894736842105262e-06,
|
| 1981 |
+
"loss": 0.1656,
|
| 1982 |
+
"step": 2870
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 19.86,
|
| 1986 |
+
"learning_rate": 1.2631578947368422e-06,
|
| 1987 |
+
"loss": 0.1,
|
| 1988 |
+
"step": 2880
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 19.93,
|
| 1992 |
+
"learning_rate": 7.368421052631579e-07,
|
| 1993 |
+
"loss": 0.1112,
|
| 1994 |
+
"step": 2890
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 20.0,
|
| 1998 |
+
"learning_rate": 2.105263157894737e-07,
|
| 1999 |
+
"loss": 0.1791,
|
| 2000 |
+
"step": 2900
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 20.0,
|
| 2004 |
+
"eval_loss": 0.6711965203285217,
|
| 2005 |
+
"eval_runtime": 56.2882,
|
| 2006 |
+
"eval_samples_per_second": 29.846,
|
| 2007 |
+
"eval_steps_per_second": 29.846,
|
| 2008 |
+
"eval_wer": 0.41010268072496725,
|
| 2009 |
+
"step": 2900
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 20.0,
|
| 2013 |
+
"step": 2900,
|
| 2014 |
+
"total_flos": 2.6571394113263534e+18,
|
| 2015 |
+
"train_loss": 0.1187238040669211,
|
| 2016 |
+
"train_runtime": 2793.6874,
|
| 2017 |
+
"train_samples_per_second": 33.075,
|
| 2018 |
+
"train_steps_per_second": 1.038
|
| 2019 |
+
}
|
| 2020 |
+
],
|
| 2021 |
+
"max_steps": 2900,
|
| 2022 |
+
"num_train_epochs": 20,
|
| 2023 |
+
"total_flos": 2.6571394113263534e+18,
|
| 2024 |
+
"trial_name": null,
|
| 2025 |
+
"trial_params": null
|
| 2026 |
+
}
|