End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.0,
|
| 3 |
+
"eval_loss": 0.16347353160381317,
|
| 4 |
+
"eval_runtime": 455.449,
|
| 5 |
+
"eval_samples": 5489,
|
| 6 |
+
"eval_samples_per_second": 12.052,
|
| 7 |
+
"eval_steps_per_second": 0.755,
|
| 8 |
+
"eval_wer": 0.10052462838822501,
|
| 9 |
+
"train_loss": 0.41333935497371294,
|
| 10 |
+
"train_runtime": 85566.3736,
|
| 11 |
+
"train_samples": 50312,
|
| 12 |
+
"train_samples_per_second": 8.82,
|
| 13 |
+
"train_steps_per_second": 0.276
|
| 14 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.0,
|
| 3 |
+
"eval_loss": 0.16347353160381317,
|
| 4 |
+
"eval_runtime": 455.449,
|
| 5 |
+
"eval_samples": 5489,
|
| 6 |
+
"eval_samples_per_second": 12.052,
|
| 7 |
+
"eval_steps_per_second": 0.755,
|
| 8 |
+
"eval_wer": 0.10052462838822501
|
| 9 |
+
}
|
runs/Feb05_04-58-47_job-c93f32d8-97c5-48e7-b5ec-c6c950f627ba/events.out.tfevents.1644123372.job-c93f32d8-97c5-48e7-b5ec-c6c950f627ba.173050.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e0cdd543b66b6773a880dd905b0369f10d02d6dfbfd795a8c971c717257700e0
|
| 3 |
+
size 364
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.0,
|
| 3 |
+
"train_loss": 0.41333935497371294,
|
| 4 |
+
"train_runtime": 85566.3736,
|
| 5 |
+
"train_samples": 50312,
|
| 6 |
+
"train_samples_per_second": 8.82,
|
| 7 |
+
"train_steps_per_second": 0.276
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1858 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 14.999682034976153,
|
| 5 |
+
"global_step": 23580,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.06,
|
| 12 |
+
"learning_rate": 4.950000000000001e-06,
|
| 13 |
+
"loss": 9.2024,
|
| 14 |
+
"step": 100
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.13,
|
| 18 |
+
"learning_rate": 9.950000000000001e-06,
|
| 19 |
+
"loss": 5.1397,
|
| 20 |
+
"step": 200
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.19,
|
| 24 |
+
"learning_rate": 1.4950000000000001e-05,
|
| 25 |
+
"loss": 3.6109,
|
| 26 |
+
"step": 300
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.25,
|
| 30 |
+
"learning_rate": 1.995e-05,
|
| 31 |
+
"loss": 3.2035,
|
| 32 |
+
"step": 400
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.32,
|
| 36 |
+
"learning_rate": 2.495e-05,
|
| 37 |
+
"loss": 3.0307,
|
| 38 |
+
"step": 500
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.32,
|
| 42 |
+
"eval_loss": 3.0025861263275146,
|
| 43 |
+
"eval_runtime": 463.575,
|
| 44 |
+
"eval_samples_per_second": 11.841,
|
| 45 |
+
"eval_steps_per_second": 0.742,
|
| 46 |
+
"eval_wer": 1.0,
|
| 47 |
+
"step": 500
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 0.38,
|
| 51 |
+
"learning_rate": 2.995e-05,
|
| 52 |
+
"loss": 2.9725,
|
| 53 |
+
"step": 600
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 0.45,
|
| 57 |
+
"learning_rate": 3.495e-05,
|
| 58 |
+
"loss": 2.9483,
|
| 59 |
+
"step": 700
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.51,
|
| 63 |
+
"learning_rate": 3.995e-05,
|
| 64 |
+
"loss": 2.9349,
|
| 65 |
+
"step": 800
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.57,
|
| 69 |
+
"learning_rate": 4.495e-05,
|
| 70 |
+
"loss": 2.9042,
|
| 71 |
+
"step": 900
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 0.64,
|
| 75 |
+
"learning_rate": 4.995e-05,
|
| 76 |
+
"loss": 2.7865,
|
| 77 |
+
"step": 1000
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.64,
|
| 81 |
+
"eval_loss": 2.4848814010620117,
|
| 82 |
+
"eval_runtime": 473.8576,
|
| 83 |
+
"eval_samples_per_second": 11.584,
|
| 84 |
+
"eval_steps_per_second": 0.726,
|
| 85 |
+
"eval_wer": 0.9926163412027592,
|
| 86 |
+
"step": 1000
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.7,
|
| 90 |
+
"learning_rate": 5.495e-05,
|
| 91 |
+
"loss": 2.0237,
|
| 92 |
+
"step": 1100
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.76,
|
| 96 |
+
"learning_rate": 5.99e-05,
|
| 97 |
+
"loss": 1.2269,
|
| 98 |
+
"step": 1200
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.83,
|
| 102 |
+
"learning_rate": 6.49e-05,
|
| 103 |
+
"loss": 1.0577,
|
| 104 |
+
"step": 1300
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.89,
|
| 108 |
+
"learning_rate": 6.99e-05,
|
| 109 |
+
"loss": 0.8144,
|
| 110 |
+
"step": 1400
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.95,
|
| 114 |
+
"learning_rate": 7.49e-05,
|
| 115 |
+
"loss": 0.7522,
|
| 116 |
+
"step": 1500
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.95,
|
| 120 |
+
"eval_loss": 0.4566805362701416,
|
| 121 |
+
"eval_runtime": 465.7671,
|
| 122 |
+
"eval_samples_per_second": 11.785,
|
| 123 |
+
"eval_steps_per_second": 0.739,
|
| 124 |
+
"eval_wer": 0.3594287379772661,
|
| 125 |
+
"step": 1500
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 1.02,
|
| 129 |
+
"learning_rate": 7.99e-05,
|
| 130 |
+
"loss": 0.6976,
|
| 131 |
+
"step": 1600
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 1.08,
|
| 135 |
+
"learning_rate": 8.49e-05,
|
| 136 |
+
"loss": 0.6571,
|
| 137 |
+
"step": 1700
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.14,
|
| 141 |
+
"learning_rate": 8.99e-05,
|
| 142 |
+
"loss": 0.604,
|
| 143 |
+
"step": 1800
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.21,
|
| 147 |
+
"learning_rate": 9.49e-05,
|
| 148 |
+
"loss": 0.5644,
|
| 149 |
+
"step": 1900
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.27,
|
| 153 |
+
"learning_rate": 9.99e-05,
|
| 154 |
+
"loss": 0.5703,
|
| 155 |
+
"step": 2000
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 1.27,
|
| 159 |
+
"eval_loss": 0.34396621584892273,
|
| 160 |
+
"eval_runtime": 464.1797,
|
| 161 |
+
"eval_samples_per_second": 11.825,
|
| 162 |
+
"eval_steps_per_second": 0.741,
|
| 163 |
+
"eval_wer": 0.2586223647138832,
|
| 164 |
+
"step": 2000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 1.34,
|
| 168 |
+
"learning_rate": 9.954587581093605e-05,
|
| 169 |
+
"loss": 0.5726,
|
| 170 |
+
"step": 2100
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.4,
|
| 174 |
+
"learning_rate": 9.908248378127896e-05,
|
| 175 |
+
"loss": 0.5471,
|
| 176 |
+
"step": 2200
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 1.46,
|
| 180 |
+
"learning_rate": 9.861909175162187e-05,
|
| 181 |
+
"loss": 0.5291,
|
| 182 |
+
"step": 2300
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 1.53,
|
| 186 |
+
"learning_rate": 9.816033364226136e-05,
|
| 187 |
+
"loss": 0.5082,
|
| 188 |
+
"step": 2400
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 1.59,
|
| 192 |
+
"learning_rate": 9.769694161260426e-05,
|
| 193 |
+
"loss": 0.4762,
|
| 194 |
+
"step": 2500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 1.59,
|
| 198 |
+
"eval_loss": 0.2925226390361786,
|
| 199 |
+
"eval_runtime": 464.1083,
|
| 200 |
+
"eval_samples_per_second": 11.827,
|
| 201 |
+
"eval_steps_per_second": 0.741,
|
| 202 |
+
"eval_wer": 0.21781793451860487,
|
| 203 |
+
"step": 2500
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 1.65,
|
| 207 |
+
"learning_rate": 9.723354958294718e-05,
|
| 208 |
+
"loss": 0.4993,
|
| 209 |
+
"step": 2600
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 1.72,
|
| 213 |
+
"learning_rate": 9.677015755329009e-05,
|
| 214 |
+
"loss": 0.4715,
|
| 215 |
+
"step": 2700
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 1.78,
|
| 219 |
+
"learning_rate": 9.6306765523633e-05,
|
| 220 |
+
"loss": 0.4497,
|
| 221 |
+
"step": 2800
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.84,
|
| 225 |
+
"learning_rate": 9.584337349397591e-05,
|
| 226 |
+
"loss": 0.45,
|
| 227 |
+
"step": 2900
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.91,
|
| 231 |
+
"learning_rate": 9.537998146431882e-05,
|
| 232 |
+
"loss": 0.4585,
|
| 233 |
+
"step": 3000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.91,
|
| 237 |
+
"eval_loss": 0.24418394267559052,
|
| 238 |
+
"eval_runtime": 462.5404,
|
| 239 |
+
"eval_samples_per_second": 11.867,
|
| 240 |
+
"eval_steps_per_second": 0.744,
|
| 241 |
+
"eval_wer": 0.19812493927912173,
|
| 242 |
+
"step": 3000
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 1.97,
|
| 246 |
+
"learning_rate": 9.491658943466173e-05,
|
| 247 |
+
"loss": 0.4531,
|
| 248 |
+
"step": 3100
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 2.04,
|
| 252 |
+
"learning_rate": 9.445319740500464e-05,
|
| 253 |
+
"loss": 0.5227,
|
| 254 |
+
"step": 3200
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 2.1,
|
| 258 |
+
"learning_rate": 9.398980537534755e-05,
|
| 259 |
+
"loss": 0.4052,
|
| 260 |
+
"step": 3300
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 2.16,
|
| 264 |
+
"learning_rate": 9.352641334569045e-05,
|
| 265 |
+
"loss": 0.3941,
|
| 266 |
+
"step": 3400
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 2.23,
|
| 270 |
+
"learning_rate": 9.306302131603337e-05,
|
| 271 |
+
"loss": 0.4013,
|
| 272 |
+
"step": 3500
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 2.23,
|
| 276 |
+
"eval_loss": 0.24954961240291595,
|
| 277 |
+
"eval_runtime": 463.9078,
|
| 278 |
+
"eval_samples_per_second": 11.832,
|
| 279 |
+
"eval_steps_per_second": 0.742,
|
| 280 |
+
"eval_wer": 0.18175459049839696,
|
| 281 |
+
"step": 3500
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 2.29,
|
| 285 |
+
"learning_rate": 9.259962928637628e-05,
|
| 286 |
+
"loss": 0.3812,
|
| 287 |
+
"step": 3600
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 2.35,
|
| 291 |
+
"learning_rate": 9.21362372567192e-05,
|
| 292 |
+
"loss": 0.3919,
|
| 293 |
+
"step": 3700
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 2.42,
|
| 297 |
+
"learning_rate": 9.16728452270621e-05,
|
| 298 |
+
"loss": 0.389,
|
| 299 |
+
"step": 3800
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 2.48,
|
| 303 |
+
"learning_rate": 9.1209453197405e-05,
|
| 304 |
+
"loss": 0.3597,
|
| 305 |
+
"step": 3900
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 2.54,
|
| 309 |
+
"learning_rate": 9.074606116774792e-05,
|
| 310 |
+
"loss": 0.449,
|
| 311 |
+
"step": 4000
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 2.54,
|
| 315 |
+
"eval_loss": 0.21517333388328552,
|
| 316 |
+
"eval_runtime": 464.2336,
|
| 317 |
+
"eval_samples_per_second": 11.824,
|
| 318 |
+
"eval_steps_per_second": 0.741,
|
| 319 |
+
"eval_wer": 0.18082191780821918,
|
| 320 |
+
"step": 4000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 2.61,
|
| 324 |
+
"learning_rate": 9.028266913809083e-05,
|
| 325 |
+
"loss": 0.383,
|
| 326 |
+
"step": 4100
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 2.67,
|
| 330 |
+
"learning_rate": 8.981927710843374e-05,
|
| 331 |
+
"loss": 0.3625,
|
| 332 |
+
"step": 4200
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 2.74,
|
| 336 |
+
"learning_rate": 8.935588507877664e-05,
|
| 337 |
+
"loss": 0.3481,
|
| 338 |
+
"step": 4300
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 2.8,
|
| 342 |
+
"learning_rate": 8.889712696941613e-05,
|
| 343 |
+
"loss": 0.3706,
|
| 344 |
+
"step": 4400
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 2.86,
|
| 348 |
+
"learning_rate": 8.843373493975903e-05,
|
| 349 |
+
"loss": 0.355,
|
| 350 |
+
"step": 4500
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 2.86,
|
| 354 |
+
"eval_loss": 0.21792450547218323,
|
| 355 |
+
"eval_runtime": 460.2784,
|
| 356 |
+
"eval_samples_per_second": 11.925,
|
| 357 |
+
"eval_steps_per_second": 0.747,
|
| 358 |
+
"eval_wer": 0.16701641892548333,
|
| 359 |
+
"step": 4500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 2.93,
|
| 363 |
+
"learning_rate": 8.797034291010195e-05,
|
| 364 |
+
"loss": 0.3509,
|
| 365 |
+
"step": 4600
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 2.99,
|
| 369 |
+
"learning_rate": 8.750695088044486e-05,
|
| 370 |
+
"loss": 0.3432,
|
| 371 |
+
"step": 4700
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 3.05,
|
| 375 |
+
"learning_rate": 8.704355885078776e-05,
|
| 376 |
+
"loss": 0.3184,
|
| 377 |
+
"step": 4800
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 3.12,
|
| 381 |
+
"learning_rate": 8.658016682113068e-05,
|
| 382 |
+
"loss": 0.3203,
|
| 383 |
+
"step": 4900
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 3.18,
|
| 387 |
+
"learning_rate": 8.611677479147359e-05,
|
| 388 |
+
"loss": 0.3142,
|
| 389 |
+
"step": 5000
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 3.18,
|
| 393 |
+
"eval_loss": 0.19529223442077637,
|
| 394 |
+
"eval_runtime": 460.5041,
|
| 395 |
+
"eval_samples_per_second": 11.92,
|
| 396 |
+
"eval_steps_per_second": 0.747,
|
| 397 |
+
"eval_wer": 0.15418245409501602,
|
| 398 |
+
"step": 5000
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 3.24,
|
| 402 |
+
"learning_rate": 8.56533827618165e-05,
|
| 403 |
+
"loss": 0.3081,
|
| 404 |
+
"step": 5100
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 3.31,
|
| 408 |
+
"learning_rate": 8.518999073215941e-05,
|
| 409 |
+
"loss": 0.3916,
|
| 410 |
+
"step": 5200
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 3.37,
|
| 414 |
+
"learning_rate": 8.472659870250233e-05,
|
| 415 |
+
"loss": 0.3128,
|
| 416 |
+
"step": 5300
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 3.43,
|
| 420 |
+
"learning_rate": 8.426320667284524e-05,
|
| 421 |
+
"loss": 0.3095,
|
| 422 |
+
"step": 5400
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 3.5,
|
| 426 |
+
"learning_rate": 8.379981464318814e-05,
|
| 427 |
+
"loss": 0.3242,
|
| 428 |
+
"step": 5500
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 3.5,
|
| 432 |
+
"eval_loss": 0.21034082770347595,
|
| 433 |
+
"eval_runtime": 458.718,
|
| 434 |
+
"eval_samples_per_second": 11.966,
|
| 435 |
+
"eval_steps_per_second": 0.75,
|
| 436 |
+
"eval_wer": 0.15256970756825028,
|
| 437 |
+
"step": 5500
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 3.56,
|
| 441 |
+
"learning_rate": 8.333642261353105e-05,
|
| 442 |
+
"loss": 0.3029,
|
| 443 |
+
"step": 5600
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 3.63,
|
| 447 |
+
"learning_rate": 8.287303058387395e-05,
|
| 448 |
+
"loss": 0.3136,
|
| 449 |
+
"step": 5700
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 3.69,
|
| 453 |
+
"learning_rate": 8.240963855421687e-05,
|
| 454 |
+
"loss": 0.3069,
|
| 455 |
+
"step": 5800
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 3.75,
|
| 459 |
+
"learning_rate": 8.194624652455978e-05,
|
| 460 |
+
"loss": 0.3158,
|
| 461 |
+
"step": 5900
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 3.82,
|
| 465 |
+
"learning_rate": 8.14828544949027e-05,
|
| 466 |
+
"loss": 0.3016,
|
| 467 |
+
"step": 6000
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 3.82,
|
| 471 |
+
"eval_loss": 0.19107381999492645,
|
| 472 |
+
"eval_runtime": 460.0828,
|
| 473 |
+
"eval_samples_per_second": 11.93,
|
| 474 |
+
"eval_steps_per_second": 0.748,
|
| 475 |
+
"eval_wer": 0.1477217526474303,
|
| 476 |
+
"step": 6000
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 3.88,
|
| 480 |
+
"learning_rate": 8.10194624652456e-05,
|
| 481 |
+
"loss": 0.3116,
|
| 482 |
+
"step": 6100
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 3.94,
|
| 486 |
+
"learning_rate": 8.055607043558852e-05,
|
| 487 |
+
"loss": 0.302,
|
| 488 |
+
"step": 6200
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 4.01,
|
| 492 |
+
"learning_rate": 8.009731232622799e-05,
|
| 493 |
+
"loss": 0.4194,
|
| 494 |
+
"step": 6300
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 4.07,
|
| 498 |
+
"learning_rate": 7.963392029657091e-05,
|
| 499 |
+
"loss": 0.2762,
|
| 500 |
+
"step": 6400
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 4.13,
|
| 504 |
+
"learning_rate": 7.917052826691382e-05,
|
| 505 |
+
"loss": 0.2713,
|
| 506 |
+
"step": 6500
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 4.13,
|
| 510 |
+
"eval_loss": 0.18356408178806305,
|
| 511 |
+
"eval_runtime": 459.9096,
|
| 512 |
+
"eval_samples_per_second": 11.935,
|
| 513 |
+
"eval_steps_per_second": 0.748,
|
| 514 |
+
"eval_wer": 0.14217429320897698,
|
| 515 |
+
"step": 6500
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 4.2,
|
| 519 |
+
"learning_rate": 7.870713623725672e-05,
|
| 520 |
+
"loss": 0.2812,
|
| 521 |
+
"step": 6600
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 4.26,
|
| 525 |
+
"learning_rate": 7.824374420759963e-05,
|
| 526 |
+
"loss": 0.2775,
|
| 527 |
+
"step": 6700
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 4.33,
|
| 531 |
+
"learning_rate": 7.778035217794253e-05,
|
| 532 |
+
"loss": 0.263,
|
| 533 |
+
"step": 6800
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 4.39,
|
| 537 |
+
"learning_rate": 7.731696014828545e-05,
|
| 538 |
+
"loss": 0.2734,
|
| 539 |
+
"step": 6900
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 4.45,
|
| 543 |
+
"learning_rate": 7.685820203892493e-05,
|
| 544 |
+
"loss": 0.2807,
|
| 545 |
+
"step": 7000
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 4.45,
|
| 549 |
+
"eval_loss": 0.1924305111169815,
|
| 550 |
+
"eval_runtime": 455.2841,
|
| 551 |
+
"eval_samples_per_second": 12.056,
|
| 552 |
+
"eval_steps_per_second": 0.756,
|
| 553 |
+
"eval_wer": 0.14470999708539783,
|
| 554 |
+
"step": 7000
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 4.52,
|
| 558 |
+
"learning_rate": 7.639481000926784e-05,
|
| 559 |
+
"loss": 0.2794,
|
| 560 |
+
"step": 7100
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 4.58,
|
| 564 |
+
"learning_rate": 7.593141797961075e-05,
|
| 565 |
+
"loss": 0.2705,
|
| 566 |
+
"step": 7200
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 4.64,
|
| 570 |
+
"learning_rate": 7.546802594995367e-05,
|
| 571 |
+
"loss": 0.2698,
|
| 572 |
+
"step": 7300
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 4.71,
|
| 576 |
+
"learning_rate": 7.500463392029657e-05,
|
| 577 |
+
"loss": 0.2761,
|
| 578 |
+
"step": 7400
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 4.77,
|
| 582 |
+
"learning_rate": 7.454124189063948e-05,
|
| 583 |
+
"loss": 0.2929,
|
| 584 |
+
"step": 7500
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 4.77,
|
| 588 |
+
"eval_loss": 0.1848202645778656,
|
| 589 |
+
"eval_runtime": 454.4795,
|
| 590 |
+
"eval_samples_per_second": 12.078,
|
| 591 |
+
"eval_steps_per_second": 0.757,
|
| 592 |
+
"eval_wer": 0.14020207908287186,
|
| 593 |
+
"step": 7500
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 4.83,
|
| 597 |
+
"learning_rate": 7.40778498609824e-05,
|
| 598 |
+
"loss": 0.2729,
|
| 599 |
+
"step": 7600
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 4.9,
|
| 603 |
+
"learning_rate": 7.36144578313253e-05,
|
| 604 |
+
"loss": 0.2654,
|
| 605 |
+
"step": 7700
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 4.96,
|
| 609 |
+
"learning_rate": 7.315106580166822e-05,
|
| 610 |
+
"loss": 0.2627,
|
| 611 |
+
"step": 7800
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 5.03,
|
| 615 |
+
"learning_rate": 7.268767377201113e-05,
|
| 616 |
+
"loss": 0.255,
|
| 617 |
+
"step": 7900
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 5.09,
|
| 621 |
+
"learning_rate": 7.222428174235403e-05,
|
| 622 |
+
"loss": 0.2595,
|
| 623 |
+
"step": 8000
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 5.09,
|
| 627 |
+
"eval_loss": 0.17834417521953583,
|
| 628 |
+
"eval_runtime": 456.3292,
|
| 629 |
+
"eval_samples_per_second": 12.029,
|
| 630 |
+
"eval_steps_per_second": 0.754,
|
| 631 |
+
"eval_wer": 0.13299329641503935,
|
| 632 |
+
"step": 8000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 5.15,
|
| 636 |
+
"learning_rate": 7.176088971269694e-05,
|
| 637 |
+
"loss": 0.2411,
|
| 638 |
+
"step": 8100
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 5.22,
|
| 642 |
+
"learning_rate": 7.129749768303986e-05,
|
| 643 |
+
"loss": 0.256,
|
| 644 |
+
"step": 8200
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 5.28,
|
| 648 |
+
"learning_rate": 7.083410565338276e-05,
|
| 649 |
+
"loss": 0.2605,
|
| 650 |
+
"step": 8300
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 5.34,
|
| 654 |
+
"learning_rate": 7.037071362372567e-05,
|
| 655 |
+
"loss": 0.2468,
|
| 656 |
+
"step": 8400
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 5.41,
|
| 660 |
+
"learning_rate": 6.990732159406859e-05,
|
| 661 |
+
"loss": 0.2289,
|
| 662 |
+
"step": 8500
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 5.41,
|
| 666 |
+
"eval_loss": 0.19014818966388702,
|
| 667 |
+
"eval_runtime": 455.481,
|
| 668 |
+
"eval_samples_per_second": 12.051,
|
| 669 |
+
"eval_steps_per_second": 0.755,
|
| 670 |
+
"eval_wer": 0.13133197318566014,
|
| 671 |
+
"step": 8500
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 5.47,
|
| 675 |
+
"learning_rate": 6.94439295644115e-05,
|
| 676 |
+
"loss": 0.2556,
|
| 677 |
+
"step": 8600
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 5.53,
|
| 681 |
+
"learning_rate": 6.898517145505098e-05,
|
| 682 |
+
"loss": 0.2458,
|
| 683 |
+
"step": 8700
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 5.6,
|
| 687 |
+
"learning_rate": 6.852177942539389e-05,
|
| 688 |
+
"loss": 0.2389,
|
| 689 |
+
"step": 8800
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 5.66,
|
| 693 |
+
"learning_rate": 6.80583873957368e-05,
|
| 694 |
+
"loss": 0.251,
|
| 695 |
+
"step": 8900
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 5.72,
|
| 699 |
+
"learning_rate": 6.759499536607971e-05,
|
| 700 |
+
"loss": 0.2567,
|
| 701 |
+
"step": 9000
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 5.72,
|
| 705 |
+
"eval_loss": 0.17836444079875946,
|
| 706 |
+
"eval_runtime": 456.7005,
|
| 707 |
+
"eval_samples_per_second": 12.019,
|
| 708 |
+
"eval_steps_per_second": 0.753,
|
| 709 |
+
"eval_wer": 0.12981638006412125,
|
| 710 |
+
"step": 9000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 5.79,
|
| 714 |
+
"learning_rate": 6.713160333642262e-05,
|
| 715 |
+
"loss": 0.2503,
|
| 716 |
+
"step": 9100
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 5.85,
|
| 720 |
+
"learning_rate": 6.666821130676552e-05,
|
| 721 |
+
"loss": 0.2525,
|
| 722 |
+
"step": 9200
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 5.92,
|
| 726 |
+
"learning_rate": 6.620481927710843e-05,
|
| 727 |
+
"loss": 0.2416,
|
| 728 |
+
"step": 9300
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 5.98,
|
| 732 |
+
"learning_rate": 6.574142724745135e-05,
|
| 733 |
+
"loss": 0.3107,
|
| 734 |
+
"step": 9400
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 6.04,
|
| 738 |
+
"learning_rate": 6.527803521779425e-05,
|
| 739 |
+
"loss": 0.2401,
|
| 740 |
+
"step": 9500
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 6.04,
|
| 744 |
+
"eval_loss": 0.19564008712768555,
|
| 745 |
+
"eval_runtime": 455.4461,
|
| 746 |
+
"eval_samples_per_second": 12.052,
|
| 747 |
+
"eval_steps_per_second": 0.755,
|
| 748 |
+
"eval_wer": 0.1297775187020305,
|
| 749 |
+
"step": 9500
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 6.11,
|
| 753 |
+
"learning_rate": 6.481464318813717e-05,
|
| 754 |
+
"loss": 0.2336,
|
| 755 |
+
"step": 9600
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 6.17,
|
| 759 |
+
"learning_rate": 6.435125115848008e-05,
|
| 760 |
+
"loss": 0.2305,
|
| 761 |
+
"step": 9700
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 6.23,
|
| 765 |
+
"learning_rate": 6.3887859128823e-05,
|
| 766 |
+
"loss": 0.2109,
|
| 767 |
+
"step": 9800
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 6.3,
|
| 771 |
+
"learning_rate": 6.34244670991659e-05,
|
| 772 |
+
"loss": 0.2321,
|
| 773 |
+
"step": 9900
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 6.36,
|
| 777 |
+
"learning_rate": 6.296570898980539e-05,
|
| 778 |
+
"loss": 0.2098,
|
| 779 |
+
"step": 10000
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 6.36,
|
| 783 |
+
"eval_loss": 0.17475813627243042,
|
| 784 |
+
"eval_runtime": 454.9716,
|
| 785 |
+
"eval_samples_per_second": 12.064,
|
| 786 |
+
"eval_steps_per_second": 0.756,
|
| 787 |
+
"eval_wer": 0.12771786651122122,
|
| 788 |
+
"step": 10000
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 6.42,
|
| 792 |
+
"learning_rate": 6.250231696014829e-05,
|
| 793 |
+
"loss": 0.2226,
|
| 794 |
+
"step": 10100
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 6.49,
|
| 798 |
+
"learning_rate": 6.20389249304912e-05,
|
| 799 |
+
"loss": 0.2165,
|
| 800 |
+
"step": 10200
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 6.55,
|
| 804 |
+
"learning_rate": 6.157553290083412e-05,
|
| 805 |
+
"loss": 0.2228,
|
| 806 |
+
"step": 10300
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 6.62,
|
| 810 |
+
"learning_rate": 6.111214087117701e-05,
|
| 811 |
+
"loss": 0.224,
|
| 812 |
+
"step": 10400
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 6.68,
|
| 816 |
+
"learning_rate": 6.0648748841519934e-05,
|
| 817 |
+
"loss": 0.2246,
|
| 818 |
+
"step": 10500
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 6.68,
|
| 822 |
+
"eval_loss": 0.1776755452156067,
|
| 823 |
+
"eval_runtime": 454.2959,
|
| 824 |
+
"eval_samples_per_second": 12.082,
|
| 825 |
+
"eval_steps_per_second": 0.757,
|
| 826 |
+
"eval_wer": 0.12535703876420867,
|
| 827 |
+
"step": 10500
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 6.74,
|
| 831 |
+
"learning_rate": 6.018535681186284e-05,
|
| 832 |
+
"loss": 0.2872,
|
| 833 |
+
"step": 10600
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 6.81,
|
| 837 |
+
"learning_rate": 5.972196478220575e-05,
|
| 838 |
+
"loss": 0.2305,
|
| 839 |
+
"step": 10700
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 6.87,
|
| 843 |
+
"learning_rate": 5.925857275254866e-05,
|
| 844 |
+
"loss": 0.2252,
|
| 845 |
+
"step": 10800
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 6.93,
|
| 849 |
+
"learning_rate": 5.8795180722891576e-05,
|
| 850 |
+
"loss": 0.2218,
|
| 851 |
+
"step": 10900
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 7.0,
|
| 855 |
+
"learning_rate": 5.833178869323448e-05,
|
| 856 |
+
"loss": 0.2197,
|
| 857 |
+
"step": 11000
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 7.0,
|
| 861 |
+
"eval_loss": 0.17029327154159546,
|
| 862 |
+
"eval_runtime": 456.3521,
|
| 863 |
+
"eval_samples_per_second": 12.028,
|
| 864 |
+
"eval_steps_per_second": 0.754,
|
| 865 |
+
"eval_wer": 0.12218983775381327,
|
| 866 |
+
"step": 11000
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 7.06,
|
| 870 |
+
"learning_rate": 5.786839666357739e-05,
|
| 871 |
+
"loss": 0.1959,
|
| 872 |
+
"step": 11100
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 7.12,
|
| 876 |
+
"learning_rate": 5.74050046339203e-05,
|
| 877 |
+
"loss": 0.2026,
|
| 878 |
+
"step": 11200
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 7.19,
|
| 882 |
+
"learning_rate": 5.6941612604263204e-05,
|
| 883 |
+
"loss": 0.1998,
|
| 884 |
+
"step": 11300
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 7.25,
|
| 888 |
+
"learning_rate": 5.6478220574606123e-05,
|
| 889 |
+
"loss": 0.2016,
|
| 890 |
+
"step": 11400
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 7.32,
|
| 894 |
+
"learning_rate": 5.601482854494903e-05,
|
| 895 |
+
"loss": 0.2122,
|
| 896 |
+
"step": 11500
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 7.32,
|
| 900 |
+
"eval_loss": 0.1917443722486496,
|
| 901 |
+
"eval_runtime": 453.8398,
|
| 902 |
+
"eval_samples_per_second": 12.095,
|
| 903 |
+
"eval_steps_per_second": 0.758,
|
| 904 |
+
"eval_wer": 0.12212183037015448,
|
| 905 |
+
"step": 11500
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 7.38,
|
| 909 |
+
"learning_rate": 5.555143651529194e-05,
|
| 910 |
+
"loss": 0.2096,
|
| 911 |
+
"step": 11600
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 7.44,
|
| 915 |
+
"learning_rate": 5.5088044485634847e-05,
|
| 916 |
+
"loss": 0.2012,
|
| 917 |
+
"step": 11700
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 7.51,
|
| 921 |
+
"learning_rate": 5.4624652455977766e-05,
|
| 922 |
+
"loss": 0.2071,
|
| 923 |
+
"step": 11800
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 7.57,
|
| 927 |
+
"learning_rate": 5.416126042632067e-05,
|
| 928 |
+
"loss": 0.1978,
|
| 929 |
+
"step": 11900
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 7.63,
|
| 933 |
+
"learning_rate": 5.3697868396663576e-05,
|
| 934 |
+
"loss": 0.2746,
|
| 935 |
+
"step": 12000
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 7.63,
|
| 939 |
+
"eval_loss": 0.1768909990787506,
|
| 940 |
+
"eval_runtime": 454.1012,
|
| 941 |
+
"eval_samples_per_second": 12.088,
|
| 942 |
+
"eval_steps_per_second": 0.758,
|
| 943 |
+
"eval_wer": 0.12147090255513456,
|
| 944 |
+
"step": 12000
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 7.7,
|
| 948 |
+
"learning_rate": 5.323447636700649e-05,
|
| 949 |
+
"loss": 0.2089,
|
| 950 |
+
"step": 12100
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 7.76,
|
| 954 |
+
"learning_rate": 5.277571825764597e-05,
|
| 955 |
+
"loss": 0.2055,
|
| 956 |
+
"step": 12200
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 7.82,
|
| 960 |
+
"learning_rate": 5.231232622798888e-05,
|
| 961 |
+
"loss": 0.197,
|
| 962 |
+
"step": 12300
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 7.89,
|
| 966 |
+
"learning_rate": 5.1848934198331786e-05,
|
| 967 |
+
"loss": 0.1963,
|
| 968 |
+
"step": 12400
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 7.95,
|
| 972 |
+
"learning_rate": 5.1385542168674705e-05,
|
| 973 |
+
"loss": 0.2148,
|
| 974 |
+
"step": 12500
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 7.95,
|
| 978 |
+
"eval_loss": 0.1736288219690323,
|
| 979 |
+
"eval_runtime": 454.4442,
|
| 980 |
+
"eval_samples_per_second": 12.078,
|
| 981 |
+
"eval_steps_per_second": 0.757,
|
| 982 |
+
"eval_wer": 0.11932381229962111,
|
| 983 |
+
"step": 12500
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 8.02,
|
| 987 |
+
"learning_rate": 5.092215013901761e-05,
|
| 988 |
+
"loss": 0.2049,
|
| 989 |
+
"step": 12600
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 8.08,
|
| 993 |
+
"learning_rate": 5.045875810936053e-05,
|
| 994 |
+
"loss": 0.1886,
|
| 995 |
+
"step": 12700
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 8.14,
|
| 999 |
+
"learning_rate": 4.9995366079703435e-05,
|
| 1000 |
+
"loss": 0.1955,
|
| 1001 |
+
"step": 12800
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 8.21,
|
| 1005 |
+
"learning_rate": 4.953197405004634e-05,
|
| 1006 |
+
"loss": 0.1903,
|
| 1007 |
+
"step": 12900
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 8.27,
|
| 1011 |
+
"learning_rate": 4.906858202038925e-05,
|
| 1012 |
+
"loss": 0.1915,
|
| 1013 |
+
"step": 13000
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 8.27,
|
| 1017 |
+
"eval_loss": 0.18138590455055237,
|
| 1018 |
+
"eval_runtime": 453.4078,
|
| 1019 |
+
"eval_samples_per_second": 12.106,
|
| 1020 |
+
"eval_steps_per_second": 0.759,
|
| 1021 |
+
"eval_wer": 0.11608860390556688,
|
| 1022 |
+
"step": 13000
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 8.33,
|
| 1026 |
+
"learning_rate": 4.860982391102873e-05,
|
| 1027 |
+
"loss": 0.1925,
|
| 1028 |
+
"step": 13100
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 8.4,
|
| 1032 |
+
"learning_rate": 4.8146431881371644e-05,
|
| 1033 |
+
"loss": 0.201,
|
| 1034 |
+
"step": 13200
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 8.46,
|
| 1038 |
+
"learning_rate": 4.768303985171455e-05,
|
| 1039 |
+
"loss": 0.2033,
|
| 1040 |
+
"step": 13300
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 8.52,
|
| 1044 |
+
"learning_rate": 4.721964782205746e-05,
|
| 1045 |
+
"loss": 0.1893,
|
| 1046 |
+
"step": 13400
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 8.59,
|
| 1050 |
+
"learning_rate": 4.6756255792400374e-05,
|
| 1051 |
+
"loss": 0.2462,
|
| 1052 |
+
"step": 13500
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 8.59,
|
| 1056 |
+
"eval_loss": 0.1748134046792984,
|
| 1057 |
+
"eval_runtime": 459.3573,
|
| 1058 |
+
"eval_samples_per_second": 11.949,
|
| 1059 |
+
"eval_steps_per_second": 0.749,
|
| 1060 |
+
"eval_wer": 0.11656465559117847,
|
| 1061 |
+
"step": 13500
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 8.65,
|
| 1065 |
+
"learning_rate": 4.629286376274328e-05,
|
| 1066 |
+
"loss": 0.1884,
|
| 1067 |
+
"step": 13600
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 8.71,
|
| 1071 |
+
"learning_rate": 4.582947173308619e-05,
|
| 1072 |
+
"loss": 0.1893,
|
| 1073 |
+
"step": 13700
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 8.78,
|
| 1077 |
+
"learning_rate": 4.5366079703429104e-05,
|
| 1078 |
+
"loss": 0.1927,
|
| 1079 |
+
"step": 13800
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 8.84,
|
| 1083 |
+
"learning_rate": 4.4902687673772016e-05,
|
| 1084 |
+
"loss": 0.1889,
|
| 1085 |
+
"step": 13900
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 8.91,
|
| 1089 |
+
"learning_rate": 4.443929564411493e-05,
|
| 1090 |
+
"loss": 0.1872,
|
| 1091 |
+
"step": 14000
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 8.91,
|
| 1095 |
+
"eval_loss": 0.1768641322851181,
|
| 1096 |
+
"eval_runtime": 453.6375,
|
| 1097 |
+
"eval_samples_per_second": 12.1,
|
| 1098 |
+
"eval_steps_per_second": 0.758,
|
| 1099 |
+
"eval_wer": 0.11334887787816963,
|
| 1100 |
+
"step": 14000
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 8.97,
|
| 1104 |
+
"learning_rate": 4.3975903614457834e-05,
|
| 1105 |
+
"loss": 0.1842,
|
| 1106 |
+
"step": 14100
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 9.03,
|
| 1110 |
+
"learning_rate": 4.351251158480074e-05,
|
| 1111 |
+
"loss": 0.1824,
|
| 1112 |
+
"step": 14200
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 9.1,
|
| 1116 |
+
"learning_rate": 4.304911955514365e-05,
|
| 1117 |
+
"loss": 0.1811,
|
| 1118 |
+
"step": 14300
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 9.16,
|
| 1122 |
+
"learning_rate": 4.2585727525486564e-05,
|
| 1123 |
+
"loss": 0.1686,
|
| 1124 |
+
"step": 14400
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 9.22,
|
| 1128 |
+
"learning_rate": 4.2122335495829476e-05,
|
| 1129 |
+
"loss": 0.1886,
|
| 1130 |
+
"step": 14500
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 9.22,
|
| 1134 |
+
"eval_loss": 0.18517228960990906,
|
| 1135 |
+
"eval_runtime": 454.3062,
|
| 1136 |
+
"eval_samples_per_second": 12.082,
|
| 1137 |
+
"eval_steps_per_second": 0.757,
|
| 1138 |
+
"eval_wer": 0.11428155056834742,
|
| 1139 |
+
"step": 14500
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 9.29,
|
| 1143 |
+
"learning_rate": 4.1663577386468956e-05,
|
| 1144 |
+
"loss": 0.166,
|
| 1145 |
+
"step": 14600
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 9.35,
|
| 1149 |
+
"learning_rate": 4.120018535681187e-05,
|
| 1150 |
+
"loss": 0.1796,
|
| 1151 |
+
"step": 14700
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 9.41,
|
| 1155 |
+
"learning_rate": 4.0736793327154773e-05,
|
| 1156 |
+
"loss": 0.1744,
|
| 1157 |
+
"step": 14800
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 9.48,
|
| 1161 |
+
"learning_rate": 4.0273401297497686e-05,
|
| 1162 |
+
"loss": 0.1798,
|
| 1163 |
+
"step": 14900
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 9.54,
|
| 1167 |
+
"learning_rate": 3.98100092678406e-05,
|
| 1168 |
+
"loss": 0.1789,
|
| 1169 |
+
"step": 15000
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 9.54,
|
| 1173 |
+
"eval_loss": 0.1695661097764969,
|
| 1174 |
+
"eval_runtime": 453.7028,
|
| 1175 |
+
"eval_samples_per_second": 12.098,
|
| 1176 |
+
"eval_steps_per_second": 0.758,
|
| 1177 |
+
"eval_wer": 0.11260079665792286,
|
| 1178 |
+
"step": 15000
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 9.61,
|
| 1182 |
+
"learning_rate": 3.93466172381835e-05,
|
| 1183 |
+
"loss": 0.2102,
|
| 1184 |
+
"step": 15100
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 9.67,
|
| 1188 |
+
"learning_rate": 3.8883225208526416e-05,
|
| 1189 |
+
"loss": 0.1897,
|
| 1190 |
+
"step": 15200
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 9.73,
|
| 1194 |
+
"learning_rate": 3.841983317886933e-05,
|
| 1195 |
+
"loss": 0.1768,
|
| 1196 |
+
"step": 15300
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 9.8,
|
| 1200 |
+
"learning_rate": 3.795644114921223e-05,
|
| 1201 |
+
"loss": 0.1751,
|
| 1202 |
+
"step": 15400
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 9.86,
|
| 1206 |
+
"learning_rate": 3.7493049119555145e-05,
|
| 1207 |
+
"loss": 0.1692,
|
| 1208 |
+
"step": 15500
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 9.86,
|
| 1212 |
+
"eval_loss": 0.18170228600502014,
|
| 1213 |
+
"eval_runtime": 455.8222,
|
| 1214 |
+
"eval_samples_per_second": 12.042,
|
| 1215 |
+
"eval_steps_per_second": 0.755,
|
| 1216 |
+
"eval_wer": 0.11220246769649277,
|
| 1217 |
+
"step": 15500
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 9.92,
|
| 1221 |
+
"learning_rate": 3.702965708989806e-05,
|
| 1222 |
+
"loss": 0.1833,
|
| 1223 |
+
"step": 15600
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 9.99,
|
| 1227 |
+
"learning_rate": 3.656626506024097e-05,
|
| 1228 |
+
"loss": 0.179,
|
| 1229 |
+
"step": 15700
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 10.05,
|
| 1233 |
+
"learning_rate": 3.6102873030583875e-05,
|
| 1234 |
+
"loss": 0.1645,
|
| 1235 |
+
"step": 15800
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 10.11,
|
| 1239 |
+
"learning_rate": 3.563948100092678e-05,
|
| 1240 |
+
"loss": 0.1699,
|
| 1241 |
+
"step": 15900
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 10.18,
|
| 1245 |
+
"learning_rate": 3.517608897126969e-05,
|
| 1246 |
+
"loss": 0.1765,
|
| 1247 |
+
"step": 16000
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 10.18,
|
| 1251 |
+
"eval_loss": 0.17690393328666687,
|
| 1252 |
+
"eval_runtime": 456.2471,
|
| 1253 |
+
"eval_samples_per_second": 12.031,
|
| 1254 |
+
"eval_steps_per_second": 0.754,
|
| 1255 |
+
"eval_wer": 0.10927815019916448,
|
| 1256 |
+
"step": 16000
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 10.24,
|
| 1260 |
+
"learning_rate": 3.4712696941612605e-05,
|
| 1261 |
+
"loss": 0.1586,
|
| 1262 |
+
"step": 16100
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 10.31,
|
| 1266 |
+
"learning_rate": 3.424930491195552e-05,
|
| 1267 |
+
"loss": 0.1762,
|
| 1268 |
+
"step": 16200
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 10.37,
|
| 1272 |
+
"learning_rate": 3.378591288229842e-05,
|
| 1273 |
+
"loss": 0.1766,
|
| 1274 |
+
"step": 16300
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 10.43,
|
| 1278 |
+
"learning_rate": 3.3322520852641335e-05,
|
| 1279 |
+
"loss": 0.1698,
|
| 1280 |
+
"step": 16400
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 10.5,
|
| 1284 |
+
"learning_rate": 3.285912882298425e-05,
|
| 1285 |
+
"loss": 0.1699,
|
| 1286 |
+
"step": 16500
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 10.5,
|
| 1290 |
+
"eval_loss": 0.16039559245109558,
|
| 1291 |
+
"eval_runtime": 453.5742,
|
| 1292 |
+
"eval_samples_per_second": 12.102,
|
| 1293 |
+
"eval_steps_per_second": 0.758,
|
| 1294 |
+
"eval_wer": 0.10837462353055474,
|
| 1295 |
+
"step": 16500
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 10.56,
|
| 1299 |
+
"learning_rate": 3.239573679332716e-05,
|
| 1300 |
+
"loss": 0.1649,
|
| 1301 |
+
"step": 16600
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 10.62,
|
| 1305 |
+
"learning_rate": 3.193234476367007e-05,
|
| 1306 |
+
"loss": 0.1714,
|
| 1307 |
+
"step": 16700
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 10.69,
|
| 1311 |
+
"learning_rate": 3.146895273401298e-05,
|
| 1312 |
+
"loss": 0.1609,
|
| 1313 |
+
"step": 16800
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 10.75,
|
| 1317 |
+
"learning_rate": 3.100556070435588e-05,
|
| 1318 |
+
"loss": 0.1678,
|
| 1319 |
+
"step": 16900
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 10.81,
|
| 1323 |
+
"learning_rate": 3.054680259499537e-05,
|
| 1324 |
+
"loss": 0.1591,
|
| 1325 |
+
"step": 17000
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 10.81,
|
| 1329 |
+
"eval_loss": 0.17774704098701477,
|
| 1330 |
+
"eval_runtime": 452.7751,
|
| 1331 |
+
"eval_samples_per_second": 12.123,
|
| 1332 |
+
"eval_steps_per_second": 0.76,
|
| 1333 |
+
"eval_wer": 0.10795686388807928,
|
| 1334 |
+
"step": 17000
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 10.88,
|
| 1338 |
+
"learning_rate": 3.0083410565338278e-05,
|
| 1339 |
+
"loss": 0.1589,
|
| 1340 |
+
"step": 17100
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 10.94,
|
| 1344 |
+
"learning_rate": 2.9620018535681187e-05,
|
| 1345 |
+
"loss": 0.2177,
|
| 1346 |
+
"step": 17200
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 11.01,
|
| 1350 |
+
"learning_rate": 2.91566265060241e-05,
|
| 1351 |
+
"loss": 0.171,
|
| 1352 |
+
"step": 17300
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 11.07,
|
| 1356 |
+
"learning_rate": 2.8693234476367008e-05,
|
| 1357 |
+
"loss": 0.1625,
|
| 1358 |
+
"step": 17400
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 11.13,
|
| 1362 |
+
"learning_rate": 2.822984244670992e-05,
|
| 1363 |
+
"loss": 0.1499,
|
| 1364 |
+
"step": 17500
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 11.13,
|
| 1368 |
+
"eval_loss": 0.16445568203926086,
|
| 1369 |
+
"eval_runtime": 453.5993,
|
| 1370 |
+
"eval_samples_per_second": 12.101,
|
| 1371 |
+
"eval_steps_per_second": 0.758,
|
| 1372 |
+
"eval_wer": 0.10737394345671816,
|
| 1373 |
+
"step": 17500
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 11.2,
|
| 1377 |
+
"learning_rate": 2.7766450417052832e-05,
|
| 1378 |
+
"loss": 0.1796,
|
| 1379 |
+
"step": 17600
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 11.26,
|
| 1383 |
+
"learning_rate": 2.7303058387395734e-05,
|
| 1384 |
+
"loss": 0.1524,
|
| 1385 |
+
"step": 17700
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 11.32,
|
| 1389 |
+
"learning_rate": 2.6839666357738646e-05,
|
| 1390 |
+
"loss": 0.148,
|
| 1391 |
+
"step": 17800
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 11.39,
|
| 1395 |
+
"learning_rate": 2.637627432808156e-05,
|
| 1396 |
+
"loss": 0.1566,
|
| 1397 |
+
"step": 17900
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 11.45,
|
| 1401 |
+
"learning_rate": 2.5912882298424467e-05,
|
| 1402 |
+
"loss": 0.163,
|
| 1403 |
+
"step": 18000
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 11.45,
|
| 1407 |
+
"eval_loss": 0.17037604749202728,
|
| 1408 |
+
"eval_runtime": 453.4998,
|
| 1409 |
+
"eval_samples_per_second": 12.104,
|
| 1410 |
+
"eval_steps_per_second": 0.759,
|
| 1411 |
+
"eval_wer": 0.10646070144758574,
|
| 1412 |
+
"step": 18000
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 11.51,
|
| 1416 |
+
"learning_rate": 2.544949026876738e-05,
|
| 1417 |
+
"loss": 0.1622,
|
| 1418 |
+
"step": 18100
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 11.58,
|
| 1422 |
+
"learning_rate": 2.498609823911029e-05,
|
| 1423 |
+
"loss": 0.1528,
|
| 1424 |
+
"step": 18200
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 11.64,
|
| 1428 |
+
"learning_rate": 2.4522706209453197e-05,
|
| 1429 |
+
"loss": 0.1699,
|
| 1430 |
+
"step": 18300
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 11.7,
|
| 1434 |
+
"learning_rate": 2.405931417979611e-05,
|
| 1435 |
+
"loss": 0.1587,
|
| 1436 |
+
"step": 18400
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 11.77,
|
| 1440 |
+
"learning_rate": 2.3595922150139018e-05,
|
| 1441 |
+
"loss": 0.1597,
|
| 1442 |
+
"step": 18500
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 11.77,
|
| 1446 |
+
"eval_loss": 0.15760080516338348,
|
| 1447 |
+
"eval_runtime": 452.5827,
|
| 1448 |
+
"eval_samples_per_second": 12.128,
|
| 1449 |
+
"eval_steps_per_second": 0.76,
|
| 1450 |
+
"eval_wer": 0.10640240940444963,
|
| 1451 |
+
"step": 18500
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 11.83,
|
| 1455 |
+
"learning_rate": 2.31371640407785e-05,
|
| 1456 |
+
"loss": 0.1507,
|
| 1457 |
+
"step": 18600
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 11.9,
|
| 1461 |
+
"learning_rate": 2.267377201112141e-05,
|
| 1462 |
+
"loss": 0.1675,
|
| 1463 |
+
"step": 18700
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 11.96,
|
| 1467 |
+
"learning_rate": 2.221037998146432e-05,
|
| 1468 |
+
"loss": 0.1515,
|
| 1469 |
+
"step": 18800
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 12.02,
|
| 1473 |
+
"learning_rate": 2.1746987951807228e-05,
|
| 1474 |
+
"loss": 0.1398,
|
| 1475 |
+
"step": 18900
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 12.09,
|
| 1479 |
+
"learning_rate": 2.128359592215014e-05,
|
| 1480 |
+
"loss": 0.1484,
|
| 1481 |
+
"step": 19000
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 12.09,
|
| 1485 |
+
"eval_loss": 0.16369372606277466,
|
| 1486 |
+
"eval_runtime": 452.8951,
|
| 1487 |
+
"eval_samples_per_second": 12.12,
|
| 1488 |
+
"eval_steps_per_second": 0.76,
|
| 1489 |
+
"eval_wer": 0.10407072767900515,
|
| 1490 |
+
"step": 19000
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 12.15,
|
| 1494 |
+
"learning_rate": 2.0820203892493052e-05,
|
| 1495 |
+
"loss": 0.1459,
|
| 1496 |
+
"step": 19100
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 12.21,
|
| 1500 |
+
"learning_rate": 2.0361445783132532e-05,
|
| 1501 |
+
"loss": 0.155,
|
| 1502 |
+
"step": 19200
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 12.28,
|
| 1506 |
+
"learning_rate": 1.989805375347544e-05,
|
| 1507 |
+
"loss": 0.1655,
|
| 1508 |
+
"step": 19300
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 12.34,
|
| 1512 |
+
"learning_rate": 1.943466172381835e-05,
|
| 1513 |
+
"loss": 0.137,
|
| 1514 |
+
"step": 19400
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 12.4,
|
| 1518 |
+
"learning_rate": 1.8971269694161262e-05,
|
| 1519 |
+
"loss": 0.1464,
|
| 1520 |
+
"step": 19500
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 12.4,
|
| 1524 |
+
"eval_loss": 0.16305148601531982,
|
| 1525 |
+
"eval_runtime": 454.6084,
|
| 1526 |
+
"eval_samples_per_second": 12.074,
|
| 1527 |
+
"eval_steps_per_second": 0.757,
|
| 1528 |
+
"eval_wer": 0.10473137083454775,
|
| 1529 |
+
"step": 19500
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 12.47,
|
| 1533 |
+
"learning_rate": 1.8507877664504174e-05,
|
| 1534 |
+
"loss": 0.1514,
|
| 1535 |
+
"step": 19600
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 12.53,
|
| 1539 |
+
"learning_rate": 1.804448563484708e-05,
|
| 1540 |
+
"loss": 0.1485,
|
| 1541 |
+
"step": 19700
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 12.6,
|
| 1545 |
+
"learning_rate": 1.7581093605189992e-05,
|
| 1546 |
+
"loss": 0.1524,
|
| 1547 |
+
"step": 19800
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 12.66,
|
| 1551 |
+
"learning_rate": 1.71177015755329e-05,
|
| 1552 |
+
"loss": 0.1488,
|
| 1553 |
+
"step": 19900
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 12.72,
|
| 1557 |
+
"learning_rate": 1.6654309545875813e-05,
|
| 1558 |
+
"loss": 0.156,
|
| 1559 |
+
"step": 20000
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 12.72,
|
| 1563 |
+
"eval_loss": 0.16862976551055908,
|
| 1564 |
+
"eval_runtime": 454.3682,
|
| 1565 |
+
"eval_samples_per_second": 12.081,
|
| 1566 |
+
"eval_steps_per_second": 0.757,
|
| 1567 |
+
"eval_wer": 0.10287574079471486,
|
| 1568 |
+
"step": 20000
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 12.79,
|
| 1572 |
+
"learning_rate": 1.619091751621872e-05,
|
| 1573 |
+
"loss": 0.1517,
|
| 1574 |
+
"step": 20100
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 12.85,
|
| 1578 |
+
"learning_rate": 1.572752548656163e-05,
|
| 1579 |
+
"loss": 0.1482,
|
| 1580 |
+
"step": 20200
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 12.91,
|
| 1584 |
+
"learning_rate": 1.5264133456904543e-05,
|
| 1585 |
+
"loss": 0.1451,
|
| 1586 |
+
"step": 20300
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 12.98,
|
| 1590 |
+
"learning_rate": 1.4800741427247453e-05,
|
| 1591 |
+
"loss": 0.1506,
|
| 1592 |
+
"step": 20400
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 13.04,
|
| 1596 |
+
"learning_rate": 1.4337349397590364e-05,
|
| 1597 |
+
"loss": 0.1625,
|
| 1598 |
+
"step": 20500
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 13.04,
|
| 1602 |
+
"eval_loss": 0.16482920944690704,
|
| 1603 |
+
"eval_runtime": 453.7585,
|
| 1604 |
+
"eval_samples_per_second": 12.097,
|
| 1605 |
+
"eval_steps_per_second": 0.758,
|
| 1606 |
+
"eval_wer": 0.10226367434178568,
|
| 1607 |
+
"step": 20500
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 13.1,
|
| 1611 |
+
"learning_rate": 1.387395736793327e-05,
|
| 1612 |
+
"loss": 0.1317,
|
| 1613 |
+
"step": 20600
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 13.17,
|
| 1617 |
+
"learning_rate": 1.3410565338276181e-05,
|
| 1618 |
+
"loss": 0.1543,
|
| 1619 |
+
"step": 20700
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 13.23,
|
| 1623 |
+
"learning_rate": 1.2947173308619093e-05,
|
| 1624 |
+
"loss": 0.1401,
|
| 1625 |
+
"step": 20800
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 13.3,
|
| 1629 |
+
"learning_rate": 1.2483781278962002e-05,
|
| 1630 |
+
"loss": 0.1445,
|
| 1631 |
+
"step": 20900
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 13.36,
|
| 1635 |
+
"learning_rate": 1.2020389249304913e-05,
|
| 1636 |
+
"loss": 0.1395,
|
| 1637 |
+
"step": 21000
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 13.36,
|
| 1641 |
+
"eval_loss": 0.16876418888568878,
|
| 1642 |
+
"eval_runtime": 457.4225,
|
| 1643 |
+
"eval_samples_per_second": 12.0,
|
| 1644 |
+
"eval_steps_per_second": 0.752,
|
| 1645 |
+
"eval_wer": 0.10274944136791994,
|
| 1646 |
+
"step": 21000
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 13.42,
|
| 1650 |
+
"learning_rate": 1.1556997219647822e-05,
|
| 1651 |
+
"loss": 0.1385,
|
| 1652 |
+
"step": 21100
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 13.49,
|
| 1656 |
+
"learning_rate": 1.1093605189990732e-05,
|
| 1657 |
+
"loss": 0.1528,
|
| 1658 |
+
"step": 21200
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 13.55,
|
| 1662 |
+
"learning_rate": 1.0634847080630214e-05,
|
| 1663 |
+
"loss": 0.14,
|
| 1664 |
+
"step": 21300
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 13.61,
|
| 1668 |
+
"learning_rate": 1.0171455050973124e-05,
|
| 1669 |
+
"loss": 0.1438,
|
| 1670 |
+
"step": 21400
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 13.68,
|
| 1674 |
+
"learning_rate": 9.708063021316035e-06,
|
| 1675 |
+
"loss": 0.1387,
|
| 1676 |
+
"step": 21500
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 13.68,
|
| 1680 |
+
"eval_loss": 0.16695508360862732,
|
| 1681 |
+
"eval_runtime": 453.4195,
|
| 1682 |
+
"eval_samples_per_second": 12.106,
|
| 1683 |
+
"eval_steps_per_second": 0.759,
|
| 1684 |
+
"eval_wer": 0.10130185563003984,
|
| 1685 |
+
"step": 21500
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 13.74,
|
| 1689 |
+
"learning_rate": 9.244670991658943e-06,
|
| 1690 |
+
"loss": 0.151,
|
| 1691 |
+
"step": 21600
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 13.8,
|
| 1695 |
+
"learning_rate": 8.781278962001854e-06,
|
| 1696 |
+
"loss": 0.1425,
|
| 1697 |
+
"step": 21700
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 13.87,
|
| 1701 |
+
"learning_rate": 8.317886932344763e-06,
|
| 1702 |
+
"loss": 0.1429,
|
| 1703 |
+
"step": 21800
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 13.93,
|
| 1707 |
+
"learning_rate": 7.854494902687675e-06,
|
| 1708 |
+
"loss": 0.139,
|
| 1709 |
+
"step": 21900
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 13.99,
|
| 1713 |
+
"learning_rate": 7.391102873030584e-06,
|
| 1714 |
+
"loss": 0.1434,
|
| 1715 |
+
"step": 22000
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 13.99,
|
| 1719 |
+
"eval_loss": 0.16770704090595245,
|
| 1720 |
+
"eval_runtime": 452.4411,
|
| 1721 |
+
"eval_samples_per_second": 12.132,
|
| 1722 |
+
"eval_steps_per_second": 0.76,
|
| 1723 |
+
"eval_wer": 0.10168075391042455,
|
| 1724 |
+
"step": 22000
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 14.06,
|
| 1728 |
+
"learning_rate": 6.927710843373494e-06,
|
| 1729 |
+
"loss": 0.1225,
|
| 1730 |
+
"step": 22100
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 14.12,
|
| 1734 |
+
"learning_rate": 6.464318813716404e-06,
|
| 1735 |
+
"loss": 0.1387,
|
| 1736 |
+
"step": 22200
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 14.19,
|
| 1740 |
+
"learning_rate": 6.0009267840593145e-06,
|
| 1741 |
+
"loss": 0.135,
|
| 1742 |
+
"step": 22300
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 14.25,
|
| 1746 |
+
"learning_rate": 5.537534754402224e-06,
|
| 1747 |
+
"loss": 0.1362,
|
| 1748 |
+
"step": 22400
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 14.31,
|
| 1752 |
+
"learning_rate": 5.074142724745135e-06,
|
| 1753 |
+
"loss": 0.1442,
|
| 1754 |
+
"step": 22500
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 14.31,
|
| 1758 |
+
"eval_loss": 0.16875232756137848,
|
| 1759 |
+
"eval_runtime": 455.5341,
|
| 1760 |
+
"eval_samples_per_second": 12.05,
|
| 1761 |
+
"eval_steps_per_second": 0.755,
|
| 1762 |
+
"eval_wer": 0.10080637326338288,
|
| 1763 |
+
"step": 22500
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 14.38,
|
| 1767 |
+
"learning_rate": 4.615384615384616e-06,
|
| 1768 |
+
"loss": 0.1383,
|
| 1769 |
+
"step": 22600
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 14.44,
|
| 1773 |
+
"learning_rate": 4.151992585727526e-06,
|
| 1774 |
+
"loss": 0.1407,
|
| 1775 |
+
"step": 22700
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 14.5,
|
| 1779 |
+
"learning_rate": 3.688600556070436e-06,
|
| 1780 |
+
"loss": 0.1412,
|
| 1781 |
+
"step": 22800
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 14.57,
|
| 1785 |
+
"learning_rate": 3.225208526413346e-06,
|
| 1786 |
+
"loss": 0.1467,
|
| 1787 |
+
"step": 22900
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 14.63,
|
| 1791 |
+
"learning_rate": 2.761816496756256e-06,
|
| 1792 |
+
"loss": 0.1439,
|
| 1793 |
+
"step": 23000
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 14.63,
|
| 1797 |
+
"eval_loss": 0.16467291116714478,
|
| 1798 |
+
"eval_runtime": 451.7915,
|
| 1799 |
+
"eval_samples_per_second": 12.149,
|
| 1800 |
+
"eval_steps_per_second": 0.761,
|
| 1801 |
+
"eval_wer": 0.10040804430195278,
|
| 1802 |
+
"step": 23000
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 14.69,
|
| 1806 |
+
"learning_rate": 2.298424467099166e-06,
|
| 1807 |
+
"loss": 0.1439,
|
| 1808 |
+
"step": 23100
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 14.76,
|
| 1812 |
+
"learning_rate": 1.835032437442076e-06,
|
| 1813 |
+
"loss": 0.1346,
|
| 1814 |
+
"step": 23200
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 14.82,
|
| 1818 |
+
"learning_rate": 1.3716404077849862e-06,
|
| 1819 |
+
"loss": 0.1441,
|
| 1820 |
+
"step": 23300
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 14.89,
|
| 1824 |
+
"learning_rate": 9.082483781278962e-07,
|
| 1825 |
+
"loss": 0.1386,
|
| 1826 |
+
"step": 23400
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 14.95,
|
| 1830 |
+
"learning_rate": 4.448563484708063e-07,
|
| 1831 |
+
"loss": 0.137,
|
| 1832 |
+
"step": 23500
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 14.95,
|
| 1836 |
+
"eval_loss": 0.1636081039905548,
|
| 1837 |
+
"eval_runtime": 454.2899,
|
| 1838 |
+
"eval_samples_per_second": 12.083,
|
| 1839 |
+
"eval_steps_per_second": 0.757,
|
| 1840 |
+
"eval_wer": 0.10055377440979306,
|
| 1841 |
+
"step": 23500
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 15.0,
|
| 1845 |
+
"step": 23580,
|
| 1846 |
+
"total_flos": 1.645470128774266e+20,
|
| 1847 |
+
"train_loss": 0.41333935497371294,
|
| 1848 |
+
"train_runtime": 85566.3736,
|
| 1849 |
+
"train_samples_per_second": 8.82,
|
| 1850 |
+
"train_steps_per_second": 0.276
|
| 1851 |
+
}
|
| 1852 |
+
],
|
| 1853 |
+
"max_steps": 23580,
|
| 1854 |
+
"num_train_epochs": 15,
|
| 1855 |
+
"total_flos": 1.645470128774266e+20,
|
| 1856 |
+
"trial_name": null,
|
| 1857 |
+
"trial_params": null
|
| 1858 |
+
}
|