End of training
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- pytorch_model.bin +1 -1
- runs/Jan29_08-32-21_job-52fc6e89-fa32-4d14-ae2b-5b667d8aed8a/events.out.tfevents.1643445166.job-52fc6e89-fa32-4d14-ae2b-5b667d8aed8a.1551559.0 +2 -2
- runs/Jan29_08-32-21_job-52fc6e89-fa32-4d14-ae2b-5b667d8aed8a/events.out.tfevents.1643554195.job-52fc6e89-fa32-4d14-ae2b-5b667d8aed8a.1551559.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +1975 -0
all_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 139.66,
|
| 3 |
+
"eval_loss": 0.882430911064148,
|
| 4 |
+
"eval_runtime": 187.1455,
|
| 5 |
+
"eval_samples": 2613,
|
| 6 |
+
"eval_samples_per_second": 13.962,
|
| 7 |
+
"eval_steps_per_second": 0.438,
|
| 8 |
+
"eval_wer": 0.5246322597007355,
|
| 9 |
+
"train_loss": 0.3391121254348755,
|
| 10 |
+
"train_runtime": 108834.0383,
|
| 11 |
+
"train_samples": 5716,
|
| 12 |
+
"train_samples_per_second": 7.351,
|
| 13 |
+
"train_steps_per_second": 0.23
|
| 14 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 139.66,
|
| 3 |
+
"eval_loss": 0.882430911064148,
|
| 4 |
+
"eval_runtime": 187.1455,
|
| 5 |
+
"eval_samples": 2613,
|
| 6 |
+
"eval_samples_per_second": 13.962,
|
| 7 |
+
"eval_steps_per_second": 0.438,
|
| 8 |
+
"eval_wer": 0.5246322597007355
|
| 9 |
+
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3850508017
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43f528ae94ef35f4d4dc5f7e24c9587eb4daa7a69077f892c8d22f1c203cdff9
|
| 3 |
size 3850508017
|
runs/Jan29_08-32-21_job-52fc6e89-fa32-4d14-ae2b-5b667d8aed8a/events.out.tfevents.1643445166.job-52fc6e89-fa32-4d14-ae2b-5b667d8aed8a.1551559.0
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 sha256:64e57be450d7b1f4a02448f5225660a1f498bfca389233b3b378c775c79dcc71
|
| 3 |
+
size 60560
|
runs/Jan29_08-32-21_job-52fc6e89-fa32-4d14-ae2b-5b667d8aed8a/events.out.tfevents.1643554195.job-52fc6e89-fa32-4d14-ae2b-5b667d8aed8a.1551559.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e94ae459ee58126d0e5154130f9c8f597c279c5977b0558e28269ada2706087d
|
| 3 |
+
size 364
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 139.66,
|
| 3 |
+
"train_loss": 0.3391121254348755,
|
| 4 |
+
"train_runtime": 108834.0383,
|
| 5 |
+
"train_samples": 5716,
|
| 6 |
+
"train_samples_per_second": 7.351,
|
| 7 |
+
"train_steps_per_second": 0.23
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1975 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 139.66480446927375,
|
| 5 |
+
"global_step": 25000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.56,
|
| 12 |
+
"learning_rate": 0.000194,
|
| 13 |
+
"loss": 3.3358,
|
| 14 |
+
"step": 100
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 1.12,
|
| 18 |
+
"learning_rate": 0.00039400000000000004,
|
| 19 |
+
"loss": 0.9471,
|
| 20 |
+
"step": 200
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 1.68,
|
| 24 |
+
"learning_rate": 0.000594,
|
| 25 |
+
"loss": 0.9236,
|
| 26 |
+
"step": 300
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 2.23,
|
| 30 |
+
"learning_rate": 0.0007940000000000001,
|
| 31 |
+
"loss": 0.996,
|
| 32 |
+
"step": 400
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 2.79,
|
| 36 |
+
"learning_rate": 0.000994,
|
| 37 |
+
"loss": 1.0296,
|
| 38 |
+
"step": 500
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 2.79,
|
| 42 |
+
"eval_loss": 0.8106316328048706,
|
| 43 |
+
"eval_runtime": 194.0347,
|
| 44 |
+
"eval_samples_per_second": 13.467,
|
| 45 |
+
"eval_steps_per_second": 0.423,
|
| 46 |
+
"eval_wer": 0.8029419223941161,
|
| 47 |
+
"step": 500
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 3.35,
|
| 51 |
+
"learning_rate": 0.0009960408163265306,
|
| 52 |
+
"loss": 1.0459,
|
| 53 |
+
"step": 600
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 3.91,
|
| 57 |
+
"learning_rate": 0.0009919591836734694,
|
| 58 |
+
"loss": 0.9901,
|
| 59 |
+
"step": 700
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 4.47,
|
| 63 |
+
"learning_rate": 0.0009878775510204082,
|
| 64 |
+
"loss": 0.9455,
|
| 65 |
+
"step": 800
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 5.03,
|
| 69 |
+
"learning_rate": 0.000983795918367347,
|
| 70 |
+
"loss": 0.9814,
|
| 71 |
+
"step": 900
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 5.59,
|
| 75 |
+
"learning_rate": 0.0009797142857142858,
|
| 76 |
+
"loss": 0.9339,
|
| 77 |
+
"step": 1000
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 5.59,
|
| 81 |
+
"eval_loss": 0.7419061064720154,
|
| 82 |
+
"eval_runtime": 190.1458,
|
| 83 |
+
"eval_samples_per_second": 13.742,
|
| 84 |
+
"eval_steps_per_second": 0.431,
|
| 85 |
+
"eval_wer": 0.7931777834136444,
|
| 86 |
+
"step": 1000
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 6.15,
|
| 90 |
+
"learning_rate": 0.0009756326530612245,
|
| 91 |
+
"loss": 0.9541,
|
| 92 |
+
"step": 1100
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 6.7,
|
| 96 |
+
"learning_rate": 0.0009715510204081632,
|
| 97 |
+
"loss": 0.8954,
|
| 98 |
+
"step": 1200
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 7.26,
|
| 102 |
+
"learning_rate": 0.0009674693877551021,
|
| 103 |
+
"loss": 0.9209,
|
| 104 |
+
"step": 1300
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 7.82,
|
| 108 |
+
"learning_rate": 0.0009633877551020408,
|
| 109 |
+
"loss": 0.9078,
|
| 110 |
+
"step": 1400
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 8.38,
|
| 114 |
+
"learning_rate": 0.0009593061224489796,
|
| 115 |
+
"loss": 0.8925,
|
| 116 |
+
"step": 1500
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 8.38,
|
| 120 |
+
"eval_loss": 0.7136574983596802,
|
| 121 |
+
"eval_runtime": 190.5136,
|
| 122 |
+
"eval_samples_per_second": 13.716,
|
| 123 |
+
"eval_steps_per_second": 0.43,
|
| 124 |
+
"eval_wer": 0.7706061374587877,
|
| 125 |
+
"step": 1500
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 8.94,
|
| 129 |
+
"learning_rate": 0.0009552244897959184,
|
| 130 |
+
"loss": 0.8785,
|
| 131 |
+
"step": 1600
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 9.5,
|
| 135 |
+
"learning_rate": 0.0009511428571428572,
|
| 136 |
+
"loss": 0.8793,
|
| 137 |
+
"step": 1700
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 10.06,
|
| 141 |
+
"learning_rate": 0.0009470612244897959,
|
| 142 |
+
"loss": 0.8766,
|
| 143 |
+
"step": 1800
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 10.61,
|
| 147 |
+
"learning_rate": 0.0009429795918367347,
|
| 148 |
+
"loss": 0.8601,
|
| 149 |
+
"step": 1900
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 11.17,
|
| 153 |
+
"learning_rate": 0.0009388979591836735,
|
| 154 |
+
"loss": 0.8484,
|
| 155 |
+
"step": 2000
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 11.17,
|
| 159 |
+
"eval_loss": 0.7019568681716919,
|
| 160 |
+
"eval_runtime": 193.4802,
|
| 161 |
+
"eval_samples_per_second": 13.505,
|
| 162 |
+
"eval_steps_per_second": 0.424,
|
| 163 |
+
"eval_wer": 0.7676895764646209,
|
| 164 |
+
"step": 2000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 11.73,
|
| 168 |
+
"learning_rate": 0.0009348163265306122,
|
| 169 |
+
"loss": 0.8123,
|
| 170 |
+
"step": 2100
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 12.29,
|
| 174 |
+
"learning_rate": 0.000930734693877551,
|
| 175 |
+
"loss": 0.7892,
|
| 176 |
+
"step": 2200
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 12.85,
|
| 180 |
+
"learning_rate": 0.0009266530612244898,
|
| 181 |
+
"loss": 0.7836,
|
| 182 |
+
"step": 2300
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 13.41,
|
| 186 |
+
"learning_rate": 0.0009225714285714286,
|
| 187 |
+
"loss": 0.7694,
|
| 188 |
+
"step": 2400
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 13.97,
|
| 192 |
+
"learning_rate": 0.0009184897959183673,
|
| 193 |
+
"loss": 0.7521,
|
| 194 |
+
"step": 2500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 13.97,
|
| 198 |
+
"eval_loss": 0.7042976021766663,
|
| 199 |
+
"eval_runtime": 193.425,
|
| 200 |
+
"eval_samples_per_second": 13.509,
|
| 201 |
+
"eval_steps_per_second": 0.424,
|
| 202 |
+
"eval_wer": 0.7375095105249809,
|
| 203 |
+
"step": 2500
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 14.53,
|
| 207 |
+
"learning_rate": 0.0009144081632653061,
|
| 208 |
+
"loss": 0.7472,
|
| 209 |
+
"step": 2600
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 15.08,
|
| 213 |
+
"learning_rate": 0.0009103265306122449,
|
| 214 |
+
"loss": 0.7254,
|
| 215 |
+
"step": 2700
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 15.64,
|
| 219 |
+
"learning_rate": 0.0009062448979591837,
|
| 220 |
+
"loss": 0.7541,
|
| 221 |
+
"step": 2800
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 16.2,
|
| 225 |
+
"learning_rate": 0.0009021632653061224,
|
| 226 |
+
"loss": 0.7361,
|
| 227 |
+
"step": 2900
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 16.76,
|
| 231 |
+
"learning_rate": 0.0008980816326530612,
|
| 232 |
+
"loss": 0.719,
|
| 233 |
+
"step": 3000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 16.76,
|
| 237 |
+
"eval_loss": 0.6617498397827148,
|
| 238 |
+
"eval_runtime": 191.0945,
|
| 239 |
+
"eval_samples_per_second": 13.674,
|
| 240 |
+
"eval_steps_per_second": 0.429,
|
| 241 |
+
"eval_wer": 0.742772001014456,
|
| 242 |
+
"step": 3000
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 17.32,
|
| 246 |
+
"learning_rate": 0.000894,
|
| 247 |
+
"loss": 0.6862,
|
| 248 |
+
"step": 3100
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 17.88,
|
| 252 |
+
"learning_rate": 0.0008899183673469387,
|
| 253 |
+
"loss": 0.6599,
|
| 254 |
+
"step": 3200
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 18.44,
|
| 258 |
+
"learning_rate": 0.0008858367346938775,
|
| 259 |
+
"loss": 0.6363,
|
| 260 |
+
"step": 3300
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 18.99,
|
| 264 |
+
"learning_rate": 0.0008817551020408164,
|
| 265 |
+
"loss": 0.6861,
|
| 266 |
+
"step": 3400
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 19.55,
|
| 270 |
+
"learning_rate": 0.0008776734693877552,
|
| 271 |
+
"loss": 0.656,
|
| 272 |
+
"step": 3500
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 19.55,
|
| 276 |
+
"eval_loss": 0.6388168334960938,
|
| 277 |
+
"eval_runtime": 190.9254,
|
| 278 |
+
"eval_samples_per_second": 13.686,
|
| 279 |
+
"eval_steps_per_second": 0.429,
|
| 280 |
+
"eval_wer": 0.7201686533096627,
|
| 281 |
+
"step": 3500
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 20.11,
|
| 285 |
+
"learning_rate": 0.0008735918367346939,
|
| 286 |
+
"loss": 0.6348,
|
| 287 |
+
"step": 3600
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 20.67,
|
| 291 |
+
"learning_rate": 0.0008695102040816327,
|
| 292 |
+
"loss": 0.5911,
|
| 293 |
+
"step": 3700
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 21.23,
|
| 297 |
+
"learning_rate": 0.0008654285714285715,
|
| 298 |
+
"loss": 0.605,
|
| 299 |
+
"step": 3800
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 21.79,
|
| 303 |
+
"learning_rate": 0.0008613469387755102,
|
| 304 |
+
"loss": 0.6051,
|
| 305 |
+
"step": 3900
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 22.35,
|
| 309 |
+
"learning_rate": 0.0008572653061224491,
|
| 310 |
+
"loss": 0.6085,
|
| 311 |
+
"step": 4000
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 22.35,
|
| 315 |
+
"eval_loss": 0.6211119890213013,
|
| 316 |
+
"eval_runtime": 188.9632,
|
| 317 |
+
"eval_samples_per_second": 13.828,
|
| 318 |
+
"eval_steps_per_second": 0.434,
|
| 319 |
+
"eval_wer": 0.6960119198579762,
|
| 320 |
+
"step": 4000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 22.91,
|
| 324 |
+
"learning_rate": 0.0008531836734693878,
|
| 325 |
+
"loss": 0.5777,
|
| 326 |
+
"step": 4100
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 23.46,
|
| 330 |
+
"learning_rate": 0.0008491020408163266,
|
| 331 |
+
"loss": 0.5582,
|
| 332 |
+
"step": 4200
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 24.02,
|
| 336 |
+
"learning_rate": 0.0008450204081632653,
|
| 337 |
+
"loss": 0.5859,
|
| 338 |
+
"step": 4300
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 24.58,
|
| 342 |
+
"learning_rate": 0.0008409387755102042,
|
| 343 |
+
"loss": 0.5368,
|
| 344 |
+
"step": 4400
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 25.14,
|
| 348 |
+
"learning_rate": 0.0008368571428571429,
|
| 349 |
+
"loss": 0.5598,
|
| 350 |
+
"step": 4500
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 25.14,
|
| 354 |
+
"eval_loss": 0.6131592988967896,
|
| 355 |
+
"eval_runtime": 191.2607,
|
| 356 |
+
"eval_samples_per_second": 13.662,
|
| 357 |
+
"eval_steps_per_second": 0.429,
|
| 358 |
+
"eval_wer": 0.664436976921126,
|
| 359 |
+
"step": 4500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 25.7,
|
| 363 |
+
"learning_rate": 0.0008327755102040816,
|
| 364 |
+
"loss": 0.5139,
|
| 365 |
+
"step": 4600
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 26.26,
|
| 369 |
+
"learning_rate": 0.0008286938775510205,
|
| 370 |
+
"loss": 0.5455,
|
| 371 |
+
"step": 4700
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 26.82,
|
| 375 |
+
"learning_rate": 0.0008246122448979592,
|
| 376 |
+
"loss": 0.5448,
|
| 377 |
+
"step": 4800
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 27.37,
|
| 381 |
+
"learning_rate": 0.000820530612244898,
|
| 382 |
+
"loss": 0.5316,
|
| 383 |
+
"step": 4900
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 27.93,
|
| 387 |
+
"learning_rate": 0.0008164489795918367,
|
| 388 |
+
"loss": 0.4969,
|
| 389 |
+
"step": 5000
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 27.93,
|
| 393 |
+
"eval_loss": 0.6065218448638916,
|
| 394 |
+
"eval_runtime": 194.8518,
|
| 395 |
+
"eval_samples_per_second": 13.41,
|
| 396 |
+
"eval_steps_per_second": 0.421,
|
| 397 |
+
"eval_wer": 0.65210499619579,
|
| 398 |
+
"step": 5000
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 28.49,
|
| 402 |
+
"learning_rate": 0.0008123673469387756,
|
| 403 |
+
"loss": 0.48,
|
| 404 |
+
"step": 5100
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 29.05,
|
| 408 |
+
"learning_rate": 0.0008082857142857143,
|
| 409 |
+
"loss": 0.5028,
|
| 410 |
+
"step": 5200
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 29.61,
|
| 414 |
+
"learning_rate": 0.0008042040816326531,
|
| 415 |
+
"loss": 0.4577,
|
| 416 |
+
"step": 5300
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 30.17,
|
| 420 |
+
"learning_rate": 0.0008001224489795919,
|
| 421 |
+
"loss": 0.4636,
|
| 422 |
+
"step": 5400
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 30.73,
|
| 426 |
+
"learning_rate": 0.0007960408163265306,
|
| 427 |
+
"loss": 0.4638,
|
| 428 |
+
"step": 5500
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 30.73,
|
| 432 |
+
"eval_loss": 0.697826623916626,
|
| 433 |
+
"eval_runtime": 189.0268,
|
| 434 |
+
"eval_samples_per_second": 13.823,
|
| 435 |
+
"eval_steps_per_second": 0.434,
|
| 436 |
+
"eval_wer": 0.6577479076845042,
|
| 437 |
+
"step": 5500
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 31.28,
|
| 441 |
+
"learning_rate": 0.0007919591836734694,
|
| 442 |
+
"loss": 0.46,
|
| 443 |
+
"step": 5600
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 31.84,
|
| 447 |
+
"learning_rate": 0.0007878775510204081,
|
| 448 |
+
"loss": 0.4577,
|
| 449 |
+
"step": 5700
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 32.4,
|
| 453 |
+
"learning_rate": 0.000783795918367347,
|
| 454 |
+
"loss": 0.4502,
|
| 455 |
+
"step": 5800
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 32.96,
|
| 459 |
+
"learning_rate": 0.0007797142857142857,
|
| 460 |
+
"loss": 0.4395,
|
| 461 |
+
"step": 5900
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 33.52,
|
| 465 |
+
"learning_rate": 0.0007756326530612245,
|
| 466 |
+
"loss": 0.4385,
|
| 467 |
+
"step": 6000
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 33.52,
|
| 471 |
+
"eval_loss": 0.5994424223899841,
|
| 472 |
+
"eval_runtime": 190.5342,
|
| 473 |
+
"eval_samples_per_second": 13.714,
|
| 474 |
+
"eval_steps_per_second": 0.43,
|
| 475 |
+
"eval_wer": 0.6565115394369769,
|
| 476 |
+
"step": 6000
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 34.08,
|
| 480 |
+
"learning_rate": 0.0007715510204081633,
|
| 481 |
+
"loss": 0.4173,
|
| 482 |
+
"step": 6100
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 34.64,
|
| 486 |
+
"learning_rate": 0.0007674693877551021,
|
| 487 |
+
"loss": 0.4144,
|
| 488 |
+
"step": 6200
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 35.2,
|
| 492 |
+
"learning_rate": 0.0007633877551020408,
|
| 493 |
+
"loss": 0.3906,
|
| 494 |
+
"step": 6300
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 35.75,
|
| 498 |
+
"learning_rate": 0.0007593061224489795,
|
| 499 |
+
"loss": 0.4085,
|
| 500 |
+
"step": 6400
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 36.31,
|
| 504 |
+
"learning_rate": 0.0007552244897959184,
|
| 505 |
+
"loss": 0.396,
|
| 506 |
+
"step": 6500
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 36.31,
|
| 510 |
+
"eval_loss": 0.6170300841331482,
|
| 511 |
+
"eval_runtime": 190.0522,
|
| 512 |
+
"eval_samples_per_second": 13.749,
|
| 513 |
+
"eval_steps_per_second": 0.431,
|
| 514 |
+
"eval_wer": 0.6257608419984784,
|
| 515 |
+
"step": 6500
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 36.87,
|
| 519 |
+
"learning_rate": 0.0007511428571428571,
|
| 520 |
+
"loss": 0.3864,
|
| 521 |
+
"step": 6600
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 37.43,
|
| 525 |
+
"learning_rate": 0.0007470612244897959,
|
| 526 |
+
"loss": 0.3864,
|
| 527 |
+
"step": 6700
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 37.99,
|
| 531 |
+
"learning_rate": 0.0007429795918367347,
|
| 532 |
+
"loss": 0.3975,
|
| 533 |
+
"step": 6800
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 38.55,
|
| 537 |
+
"learning_rate": 0.0007388979591836735,
|
| 538 |
+
"loss": 0.3873,
|
| 539 |
+
"step": 6900
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 39.11,
|
| 543 |
+
"learning_rate": 0.0007348163265306122,
|
| 544 |
+
"loss": 0.3861,
|
| 545 |
+
"step": 7000
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 39.11,
|
| 549 |
+
"eval_loss": 0.6486256718635559,
|
| 550 |
+
"eval_runtime": 191.5175,
|
| 551 |
+
"eval_samples_per_second": 13.644,
|
| 552 |
+
"eval_steps_per_second": 0.428,
|
| 553 |
+
"eval_wer": 0.6216713162566574,
|
| 554 |
+
"step": 7000
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 39.66,
|
| 558 |
+
"learning_rate": 0.0007307346938775509,
|
| 559 |
+
"loss": 0.3629,
|
| 560 |
+
"step": 7100
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 40.22,
|
| 564 |
+
"learning_rate": 0.0007266530612244898,
|
| 565 |
+
"loss": 0.3545,
|
| 566 |
+
"step": 7200
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 40.78,
|
| 570 |
+
"learning_rate": 0.0007225714285714285,
|
| 571 |
+
"loss": 0.381,
|
| 572 |
+
"step": 7300
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 41.34,
|
| 576 |
+
"learning_rate": 0.0007184897959183673,
|
| 577 |
+
"loss": 0.3679,
|
| 578 |
+
"step": 7400
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 41.9,
|
| 582 |
+
"learning_rate": 0.0007144081632653061,
|
| 583 |
+
"loss": 0.3602,
|
| 584 |
+
"step": 7500
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 41.9,
|
| 588 |
+
"eval_loss": 0.6508038640022278,
|
| 589 |
+
"eval_runtime": 188.3071,
|
| 590 |
+
"eval_samples_per_second": 13.876,
|
| 591 |
+
"eval_steps_per_second": 0.435,
|
| 592 |
+
"eval_wer": 0.6114633527770733,
|
| 593 |
+
"step": 7500
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 42.46,
|
| 597 |
+
"learning_rate": 0.000710326530612245,
|
| 598 |
+
"loss": 0.3431,
|
| 599 |
+
"step": 7600
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 43.02,
|
| 603 |
+
"learning_rate": 0.0007062448979591836,
|
| 604 |
+
"loss": 0.3555,
|
| 605 |
+
"step": 7700
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 43.58,
|
| 609 |
+
"learning_rate": 0.0007021632653061226,
|
| 610 |
+
"loss": 0.3327,
|
| 611 |
+
"step": 7800
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 44.13,
|
| 615 |
+
"learning_rate": 0.0006980816326530613,
|
| 616 |
+
"loss": 0.3327,
|
| 617 |
+
"step": 7900
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 44.69,
|
| 621 |
+
"learning_rate": 0.000694,
|
| 622 |
+
"loss": 0.3251,
|
| 623 |
+
"step": 8000
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 44.69,
|
| 627 |
+
"eval_loss": 0.7021898031234741,
|
| 628 |
+
"eval_runtime": 189.1301,
|
| 629 |
+
"eval_samples_per_second": 13.816,
|
| 630 |
+
"eval_steps_per_second": 0.434,
|
| 631 |
+
"eval_wer": 0.625317017499366,
|
| 632 |
+
"step": 8000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 45.25,
|
| 636 |
+
"learning_rate": 0.0006899183673469388,
|
| 637 |
+
"loss": 0.3403,
|
| 638 |
+
"step": 8100
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 45.81,
|
| 642 |
+
"learning_rate": 0.0006858367346938776,
|
| 643 |
+
"loss": 0.3242,
|
| 644 |
+
"step": 8200
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 46.37,
|
| 648 |
+
"learning_rate": 0.0006817551020408164,
|
| 649 |
+
"loss": 0.316,
|
| 650 |
+
"step": 8300
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 46.93,
|
| 654 |
+
"learning_rate": 0.0006776734693877551,
|
| 655 |
+
"loss": 0.3113,
|
| 656 |
+
"step": 8400
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 47.49,
|
| 660 |
+
"learning_rate": 0.000673591836734694,
|
| 661 |
+
"loss": 0.3197,
|
| 662 |
+
"step": 8500
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 47.49,
|
| 666 |
+
"eval_loss": 0.7705556750297546,
|
| 667 |
+
"eval_runtime": 188.475,
|
| 668 |
+
"eval_samples_per_second": 13.864,
|
| 669 |
+
"eval_steps_per_second": 0.435,
|
| 670 |
+
"eval_wer": 0.621544509256911,
|
| 671 |
+
"step": 8500
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 48.04,
|
| 675 |
+
"learning_rate": 0.0006695102040816327,
|
| 676 |
+
"loss": 0.3188,
|
| 677 |
+
"step": 8600
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 48.6,
|
| 681 |
+
"learning_rate": 0.0006654285714285715,
|
| 682 |
+
"loss": 0.3134,
|
| 683 |
+
"step": 8700
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 49.16,
|
| 687 |
+
"learning_rate": 0.0006613469387755102,
|
| 688 |
+
"loss": 0.3093,
|
| 689 |
+
"step": 8800
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 49.72,
|
| 693 |
+
"learning_rate": 0.000657265306122449,
|
| 694 |
+
"loss": 0.2872,
|
| 695 |
+
"step": 8900
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 50.28,
|
| 699 |
+
"learning_rate": 0.0006531836734693878,
|
| 700 |
+
"loss": 0.3013,
|
| 701 |
+
"step": 9000
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 50.28,
|
| 705 |
+
"eval_loss": 0.6418728232383728,
|
| 706 |
+
"eval_runtime": 189.3407,
|
| 707 |
+
"eval_samples_per_second": 13.801,
|
| 708 |
+
"eval_steps_per_second": 0.433,
|
| 709 |
+
"eval_wer": 0.5998922140502155,
|
| 710 |
+
"step": 9000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 50.84,
|
| 714 |
+
"learning_rate": 0.0006491020408163265,
|
| 715 |
+
"loss": 0.2866,
|
| 716 |
+
"step": 9100
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 51.4,
|
| 720 |
+
"learning_rate": 0.0006450204081632654,
|
| 721 |
+
"loss": 0.2794,
|
| 722 |
+
"step": 9200
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 51.96,
|
| 726 |
+
"learning_rate": 0.0006409387755102041,
|
| 727 |
+
"loss": 0.2842,
|
| 728 |
+
"step": 9300
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 52.51,
|
| 732 |
+
"learning_rate": 0.0006368571428571429,
|
| 733 |
+
"loss": 0.2894,
|
| 734 |
+
"step": 9400
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 53.07,
|
| 738 |
+
"learning_rate": 0.0006327755102040816,
|
| 739 |
+
"loss": 0.2813,
|
| 740 |
+
"step": 9500
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 53.07,
|
| 744 |
+
"eval_loss": 0.6907714009284973,
|
| 745 |
+
"eval_runtime": 188.5038,
|
| 746 |
+
"eval_samples_per_second": 13.862,
|
| 747 |
+
"eval_steps_per_second": 0.435,
|
| 748 |
+
"eval_wer": 0.595929495308141,
|
| 749 |
+
"step": 9500
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 53.63,
|
| 753 |
+
"learning_rate": 0.0006286938775510205,
|
| 754 |
+
"loss": 0.2846,
|
| 755 |
+
"step": 9600
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 54.19,
|
| 759 |
+
"learning_rate": 0.0006246122448979592,
|
| 760 |
+
"loss": 0.2784,
|
| 761 |
+
"step": 9700
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 54.75,
|
| 765 |
+
"learning_rate": 0.0006205306122448979,
|
| 766 |
+
"loss": 0.2841,
|
| 767 |
+
"step": 9800
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 55.31,
|
| 771 |
+
"learning_rate": 0.0006164489795918368,
|
| 772 |
+
"loss": 0.2838,
|
| 773 |
+
"step": 9900
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 55.87,
|
| 777 |
+
"learning_rate": 0.0006123673469387755,
|
| 778 |
+
"loss": 0.286,
|
| 779 |
+
"step": 10000
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 55.87,
|
| 783 |
+
"eval_loss": 0.7150660157203674,
|
| 784 |
+
"eval_runtime": 188.1197,
|
| 785 |
+
"eval_samples_per_second": 13.89,
|
| 786 |
+
"eval_steps_per_second": 0.436,
|
| 787 |
+
"eval_wer": 0.5916180573167639,
|
| 788 |
+
"step": 10000
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 56.42,
|
| 792 |
+
"learning_rate": 0.0006082857142857143,
|
| 793 |
+
"loss": 0.2831,
|
| 794 |
+
"step": 10100
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 56.98,
|
| 798 |
+
"learning_rate": 0.000604204081632653,
|
| 799 |
+
"loss": 0.2738,
|
| 800 |
+
"step": 10200
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 57.54,
|
| 804 |
+
"learning_rate": 0.0006001224489795919,
|
| 805 |
+
"loss": 0.2613,
|
| 806 |
+
"step": 10300
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 58.1,
|
| 810 |
+
"learning_rate": 0.0005960816326530613,
|
| 811 |
+
"loss": 0.2645,
|
| 812 |
+
"step": 10400
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 58.66,
|
| 816 |
+
"learning_rate": 0.000592,
|
| 817 |
+
"loss": 0.2645,
|
| 818 |
+
"step": 10500
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 58.66,
|
| 822 |
+
"eval_loss": 0.7181155681610107,
|
| 823 |
+
"eval_runtime": 192.5668,
|
| 824 |
+
"eval_samples_per_second": 13.569,
|
| 825 |
+
"eval_steps_per_second": 0.426,
|
| 826 |
+
"eval_wer": 0.5860068475779863,
|
| 827 |
+
"step": 10500
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 59.22,
|
| 831 |
+
"learning_rate": 0.0005879183673469388,
|
| 832 |
+
"loss": 0.2501,
|
| 833 |
+
"step": 10600
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 59.78,
|
| 837 |
+
"learning_rate": 0.0005838367346938776,
|
| 838 |
+
"loss": 0.2612,
|
| 839 |
+
"step": 10700
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 60.34,
|
| 843 |
+
"learning_rate": 0.0005797551020408164,
|
| 844 |
+
"loss": 0.2541,
|
| 845 |
+
"step": 10800
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 60.89,
|
| 849 |
+
"learning_rate": 0.0005756734693877551,
|
| 850 |
+
"loss": 0.2496,
|
| 851 |
+
"step": 10900
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 61.45,
|
| 855 |
+
"learning_rate": 0.0005715918367346939,
|
| 856 |
+
"loss": 0.2535,
|
| 857 |
+
"step": 11000
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 61.45,
|
| 861 |
+
"eval_loss": 0.7877444624900818,
|
| 862 |
+
"eval_runtime": 190.8548,
|
| 863 |
+
"eval_samples_per_second": 13.691,
|
| 864 |
+
"eval_steps_per_second": 0.43,
|
| 865 |
+
"eval_wer": 0.5979267055541466,
|
| 866 |
+
"step": 11000
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 62.01,
|
| 870 |
+
"learning_rate": 0.0005675102040816327,
|
| 871 |
+
"loss": 0.2619,
|
| 872 |
+
"step": 11100
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 62.57,
|
| 876 |
+
"learning_rate": 0.0005634285714285714,
|
| 877 |
+
"loss": 0.2495,
|
| 878 |
+
"step": 11200
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 63.13,
|
| 882 |
+
"learning_rate": 0.0005593469387755102,
|
| 883 |
+
"loss": 0.2521,
|
| 884 |
+
"step": 11300
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 63.69,
|
| 888 |
+
"learning_rate": 0.000555265306122449,
|
| 889 |
+
"loss": 0.2326,
|
| 890 |
+
"step": 11400
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 64.25,
|
| 894 |
+
"learning_rate": 0.0005511836734693878,
|
| 895 |
+
"loss": 0.247,
|
| 896 |
+
"step": 11500
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 64.25,
|
| 900 |
+
"eval_loss": 0.8198513984680176,
|
| 901 |
+
"eval_runtime": 187.6839,
|
| 902 |
+
"eval_samples_per_second": 13.922,
|
| 903 |
+
"eval_steps_per_second": 0.437,
|
| 904 |
+
"eval_wer": 0.6128899315242201,
|
| 905 |
+
"step": 11500
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 64.8,
|
| 909 |
+
"learning_rate": 0.0005471020408163265,
|
| 910 |
+
"loss": 0.249,
|
| 911 |
+
"step": 11600
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 65.36,
|
| 915 |
+
"learning_rate": 0.0005430204081632654,
|
| 916 |
+
"loss": 0.2463,
|
| 917 |
+
"step": 11700
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 65.92,
|
| 921 |
+
"learning_rate": 0.0005389387755102041,
|
| 922 |
+
"loss": 0.2333,
|
| 923 |
+
"step": 11800
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 66.48,
|
| 927 |
+
"learning_rate": 0.0005348571428571428,
|
| 928 |
+
"loss": 0.2381,
|
| 929 |
+
"step": 11900
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 67.04,
|
| 933 |
+
"learning_rate": 0.0005307755102040816,
|
| 934 |
+
"loss": 0.2412,
|
| 935 |
+
"step": 12000
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 67.04,
|
| 939 |
+
"eval_loss": 0.767884373664856,
|
| 940 |
+
"eval_runtime": 188.3627,
|
| 941 |
+
"eval_samples_per_second": 13.872,
|
| 942 |
+
"eval_steps_per_second": 0.435,
|
| 943 |
+
"eval_wer": 0.5884161805731677,
|
| 944 |
+
"step": 12000
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 67.6,
|
| 948 |
+
"learning_rate": 0.0005266938775510204,
|
| 949 |
+
"loss": 0.2285,
|
| 950 |
+
"step": 12100
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 68.16,
|
| 954 |
+
"learning_rate": 0.0005226122448979592,
|
| 955 |
+
"loss": 0.241,
|
| 956 |
+
"step": 12200
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 68.72,
|
| 960 |
+
"learning_rate": 0.0005185306122448979,
|
| 961 |
+
"loss": 0.229,
|
| 962 |
+
"step": 12300
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 69.27,
|
| 966 |
+
"learning_rate": 0.0005144489795918368,
|
| 967 |
+
"loss": 0.2371,
|
| 968 |
+
"step": 12400
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 69.83,
|
| 972 |
+
"learning_rate": 0.0005103673469387755,
|
| 973 |
+
"loss": 0.2404,
|
| 974 |
+
"step": 12500
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 69.83,
|
| 978 |
+
"eval_loss": 0.7266025543212891,
|
| 979 |
+
"eval_runtime": 190.7393,
|
| 980 |
+
"eval_samples_per_second": 13.699,
|
| 981 |
+
"eval_steps_per_second": 0.43,
|
| 982 |
+
"eval_wer": 0.581632006086736,
|
| 983 |
+
"step": 12500
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 70.39,
|
| 987 |
+
"learning_rate": 0.0005062857142857143,
|
| 988 |
+
"loss": 0.2315,
|
| 989 |
+
"step": 12600
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 70.95,
|
| 993 |
+
"learning_rate": 0.0005022040816326531,
|
| 994 |
+
"loss": 0.2305,
|
| 995 |
+
"step": 12700
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 71.51,
|
| 999 |
+
"learning_rate": 0.0004981224489795918,
|
| 1000 |
+
"loss": 0.2307,
|
| 1001 |
+
"step": 12800
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 72.07,
|
| 1005 |
+
"learning_rate": 0.0004940408163265306,
|
| 1006 |
+
"loss": 0.2204,
|
| 1007 |
+
"step": 12900
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 72.63,
|
| 1011 |
+
"learning_rate": 0.00049,
|
| 1012 |
+
"loss": 0.2293,
|
| 1013 |
+
"step": 13000
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 72.63,
|
| 1017 |
+
"eval_loss": 0.792820394039154,
|
| 1018 |
+
"eval_runtime": 188.6653,
|
| 1019 |
+
"eval_samples_per_second": 13.85,
|
| 1020 |
+
"eval_steps_per_second": 0.435,
|
| 1021 |
+
"eval_wer": 0.5794762870910474,
|
| 1022 |
+
"step": 13000
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 73.18,
|
| 1026 |
+
"learning_rate": 0.0004859183673469388,
|
| 1027 |
+
"loss": 0.2185,
|
| 1028 |
+
"step": 13100
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 73.74,
|
| 1032 |
+
"learning_rate": 0.00048183673469387754,
|
| 1033 |
+
"loss": 0.2126,
|
| 1034 |
+
"step": 13200
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 74.3,
|
| 1038 |
+
"learning_rate": 0.00047775510204081634,
|
| 1039 |
+
"loss": 0.2177,
|
| 1040 |
+
"step": 13300
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 74.86,
|
| 1044 |
+
"learning_rate": 0.00047367346938775515,
|
| 1045 |
+
"loss": 0.2204,
|
| 1046 |
+
"step": 13400
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 75.42,
|
| 1050 |
+
"learning_rate": 0.0004695918367346939,
|
| 1051 |
+
"loss": 0.2176,
|
| 1052 |
+
"step": 13500
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 75.42,
|
| 1056 |
+
"eval_loss": 0.7916468381881714,
|
| 1057 |
+
"eval_runtime": 189.1525,
|
| 1058 |
+
"eval_samples_per_second": 13.814,
|
| 1059 |
+
"eval_steps_per_second": 0.434,
|
| 1060 |
+
"eval_wer": 0.5845802688308395,
|
| 1061 |
+
"step": 13500
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 75.98,
|
| 1065 |
+
"learning_rate": 0.00046551020408163265,
|
| 1066 |
+
"loss": 0.2119,
|
| 1067 |
+
"step": 13600
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 76.54,
|
| 1071 |
+
"learning_rate": 0.0004614285714285714,
|
| 1072 |
+
"loss": 0.2149,
|
| 1073 |
+
"step": 13700
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 77.09,
|
| 1077 |
+
"learning_rate": 0.0004573469387755102,
|
| 1078 |
+
"loss": 0.214,
|
| 1079 |
+
"step": 13800
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 77.65,
|
| 1083 |
+
"learning_rate": 0.000453265306122449,
|
| 1084 |
+
"loss": 0.2095,
|
| 1085 |
+
"step": 13900
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 78.21,
|
| 1089 |
+
"learning_rate": 0.00044918367346938776,
|
| 1090 |
+
"loss": 0.2143,
|
| 1091 |
+
"step": 14000
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 78.21,
|
| 1095 |
+
"eval_loss": 0.7954298853874207,
|
| 1096 |
+
"eval_runtime": 187.5182,
|
| 1097 |
+
"eval_samples_per_second": 13.935,
|
| 1098 |
+
"eval_steps_per_second": 0.437,
|
| 1099 |
+
"eval_wer": 0.5764646208470707,
|
| 1100 |
+
"step": 14000
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 78.77,
|
| 1104 |
+
"learning_rate": 0.00044510204081632656,
|
| 1105 |
+
"loss": 0.2182,
|
| 1106 |
+
"step": 14100
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 79.33,
|
| 1110 |
+
"learning_rate": 0.0004410204081632653,
|
| 1111 |
+
"loss": 0.2042,
|
| 1112 |
+
"step": 14200
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 79.89,
|
| 1116 |
+
"learning_rate": 0.0004369387755102041,
|
| 1117 |
+
"loss": 0.2184,
|
| 1118 |
+
"step": 14300
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 80.45,
|
| 1122 |
+
"learning_rate": 0.00043285714285714287,
|
| 1123 |
+
"loss": 0.2104,
|
| 1124 |
+
"step": 14400
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 81.01,
|
| 1128 |
+
"learning_rate": 0.0004287755102040816,
|
| 1129 |
+
"loss": 0.2185,
|
| 1130 |
+
"step": 14500
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 81.01,
|
| 1134 |
+
"eval_loss": 0.8317196369171143,
|
| 1135 |
+
"eval_runtime": 188.0902,
|
| 1136 |
+
"eval_samples_per_second": 13.892,
|
| 1137 |
+
"eval_steps_per_second": 0.436,
|
| 1138 |
+
"eval_wer": 0.5906987065686026,
|
| 1139 |
+
"step": 14500
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 81.56,
|
| 1143 |
+
"learning_rate": 0.0004246938775510204,
|
| 1144 |
+
"loss": 0.2026,
|
| 1145 |
+
"step": 14600
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 82.12,
|
| 1149 |
+
"learning_rate": 0.0004206122448979592,
|
| 1150 |
+
"loss": 0.1972,
|
| 1151 |
+
"step": 14700
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 82.68,
|
| 1155 |
+
"learning_rate": 0.000416530612244898,
|
| 1156 |
+
"loss": 0.2083,
|
| 1157 |
+
"step": 14800
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 83.24,
|
| 1161 |
+
"learning_rate": 0.00041244897959183673,
|
| 1162 |
+
"loss": 0.2132,
|
| 1163 |
+
"step": 14900
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 83.8,
|
| 1167 |
+
"learning_rate": 0.00040836734693877553,
|
| 1168 |
+
"loss": 0.2057,
|
| 1169 |
+
"step": 15000
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 83.8,
|
| 1173 |
+
"eval_loss": 0.8015716075897217,
|
| 1174 |
+
"eval_runtime": 188.5358,
|
| 1175 |
+
"eval_samples_per_second": 13.859,
|
| 1176 |
+
"eval_steps_per_second": 0.435,
|
| 1177 |
+
"eval_wer": 0.5850557950798884,
|
| 1178 |
+
"step": 15000
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 84.36,
|
| 1182 |
+
"learning_rate": 0.0004042857142857143,
|
| 1183 |
+
"loss": 0.2027,
|
| 1184 |
+
"step": 15100
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 84.92,
|
| 1188 |
+
"learning_rate": 0.0004002040816326531,
|
| 1189 |
+
"loss": 0.2016,
|
| 1190 |
+
"step": 15200
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 85.47,
|
| 1194 |
+
"learning_rate": 0.00039612244897959184,
|
| 1195 |
+
"loss": 0.1935,
|
| 1196 |
+
"step": 15300
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 86.03,
|
| 1200 |
+
"learning_rate": 0.0003920408163265306,
|
| 1201 |
+
"loss": 0.1948,
|
| 1202 |
+
"step": 15400
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 86.59,
|
| 1206 |
+
"learning_rate": 0.0003879591836734694,
|
| 1207 |
+
"loss": 0.1895,
|
| 1208 |
+
"step": 15500
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 86.59,
|
| 1212 |
+
"eval_loss": 0.8080111145973206,
|
| 1213 |
+
"eval_runtime": 192.0878,
|
| 1214 |
+
"eval_samples_per_second": 13.603,
|
| 1215 |
+
"eval_steps_per_second": 0.427,
|
| 1216 |
+
"eval_wer": 0.5679368501141263,
|
| 1217 |
+
"step": 15500
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 87.15,
|
| 1221 |
+
"learning_rate": 0.00038387755102040815,
|
| 1222 |
+
"loss": 0.1894,
|
| 1223 |
+
"step": 15600
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 87.71,
|
| 1227 |
+
"learning_rate": 0.00037979591836734695,
|
| 1228 |
+
"loss": 0.1798,
|
| 1229 |
+
"step": 15700
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 88.27,
|
| 1233 |
+
"learning_rate": 0.00037571428571428575,
|
| 1234 |
+
"loss": 0.1891,
|
| 1235 |
+
"step": 15800
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 88.83,
|
| 1239 |
+
"learning_rate": 0.0003716326530612245,
|
| 1240 |
+
"loss": 0.1916,
|
| 1241 |
+
"step": 15900
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 89.39,
|
| 1245 |
+
"learning_rate": 0.0003675510204081633,
|
| 1246 |
+
"loss": 0.1883,
|
| 1247 |
+
"step": 16000
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 89.39,
|
| 1251 |
+
"eval_loss": 0.8103044033050537,
|
| 1252 |
+
"eval_runtime": 192.0932,
|
| 1253 |
+
"eval_samples_per_second": 13.603,
|
| 1254 |
+
"eval_steps_per_second": 0.427,
|
| 1255 |
+
"eval_wer": 0.5712338321075323,
|
| 1256 |
+
"step": 16000
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 89.94,
|
| 1260 |
+
"learning_rate": 0.000363469387755102,
|
| 1261 |
+
"loss": 0.1774,
|
| 1262 |
+
"step": 16100
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 90.5,
|
| 1266 |
+
"learning_rate": 0.0003593877551020408,
|
| 1267 |
+
"loss": 0.1831,
|
| 1268 |
+
"step": 16200
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 91.06,
|
| 1272 |
+
"learning_rate": 0.00035530612244897956,
|
| 1273 |
+
"loss": 0.1858,
|
| 1274 |
+
"step": 16300
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 91.62,
|
| 1278 |
+
"learning_rate": 0.00035122448979591837,
|
| 1279 |
+
"loss": 0.1863,
|
| 1280 |
+
"step": 16400
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 92.18,
|
| 1284 |
+
"learning_rate": 0.00034714285714285717,
|
| 1285 |
+
"loss": 0.1802,
|
| 1286 |
+
"step": 16500
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 92.18,
|
| 1290 |
+
"eval_loss": 0.8383206129074097,
|
| 1291 |
+
"eval_runtime": 187.0696,
|
| 1292 |
+
"eval_samples_per_second": 13.968,
|
| 1293 |
+
"eval_steps_per_second": 0.438,
|
| 1294 |
+
"eval_wer": 0.5644496576211007,
|
| 1295 |
+
"step": 16500
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 92.74,
|
| 1299 |
+
"learning_rate": 0.0003430612244897959,
|
| 1300 |
+
"loss": 0.1818,
|
| 1301 |
+
"step": 16600
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 93.3,
|
| 1305 |
+
"learning_rate": 0.0003389795918367347,
|
| 1306 |
+
"loss": 0.1805,
|
| 1307 |
+
"step": 16700
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 93.85,
|
| 1311 |
+
"learning_rate": 0.0003348979591836735,
|
| 1312 |
+
"loss": 0.1784,
|
| 1313 |
+
"step": 16800
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 94.41,
|
| 1317 |
+
"learning_rate": 0.0003308163265306123,
|
| 1318 |
+
"loss": 0.1731,
|
| 1319 |
+
"step": 16900
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 94.97,
|
| 1323 |
+
"learning_rate": 0.000326734693877551,
|
| 1324 |
+
"loss": 0.1826,
|
| 1325 |
+
"step": 17000
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 94.97,
|
| 1329 |
+
"eval_loss": 0.8798549771308899,
|
| 1330 |
+
"eval_runtime": 188.9431,
|
| 1331 |
+
"eval_samples_per_second": 13.83,
|
| 1332 |
+
"eval_steps_per_second": 0.434,
|
| 1333 |
+
"eval_wer": 0.5657494293685011,
|
| 1334 |
+
"step": 17000
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 95.53,
|
| 1338 |
+
"learning_rate": 0.0003226530612244898,
|
| 1339 |
+
"loss": 0.1733,
|
| 1340 |
+
"step": 17100
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 96.09,
|
| 1344 |
+
"learning_rate": 0.0003185714285714286,
|
| 1345 |
+
"loss": 0.1723,
|
| 1346 |
+
"step": 17200
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 96.65,
|
| 1350 |
+
"learning_rate": 0.00031448979591836734,
|
| 1351 |
+
"loss": 0.1693,
|
| 1352 |
+
"step": 17300
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 97.21,
|
| 1356 |
+
"learning_rate": 0.00031044897959183674,
|
| 1357 |
+
"loss": 0.1705,
|
| 1358 |
+
"step": 17400
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 97.77,
|
| 1362 |
+
"learning_rate": 0.0003063673469387755,
|
| 1363 |
+
"loss": 0.1717,
|
| 1364 |
+
"step": 17500
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 97.77,
|
| 1368 |
+
"eval_loss": 0.8619566559791565,
|
| 1369 |
+
"eval_runtime": 188.0319,
|
| 1370 |
+
"eval_samples_per_second": 13.897,
|
| 1371 |
+
"eval_steps_per_second": 0.436,
|
| 1372 |
+
"eval_wer": 0.5709168146081663,
|
| 1373 |
+
"step": 17500
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 98.32,
|
| 1377 |
+
"learning_rate": 0.0003022857142857143,
|
| 1378 |
+
"loss": 0.1616,
|
| 1379 |
+
"step": 17600
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 98.88,
|
| 1383 |
+
"learning_rate": 0.00029820408163265305,
|
| 1384 |
+
"loss": 0.1653,
|
| 1385 |
+
"step": 17700
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 99.44,
|
| 1389 |
+
"learning_rate": 0.00029412244897959185,
|
| 1390 |
+
"loss": 0.1708,
|
| 1391 |
+
"step": 17800
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 100.0,
|
| 1395 |
+
"learning_rate": 0.0002900408163265306,
|
| 1396 |
+
"loss": 0.1681,
|
| 1397 |
+
"step": 17900
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 100.56,
|
| 1401 |
+
"learning_rate": 0.00028599999999999996,
|
| 1402 |
+
"loss": 0.1701,
|
| 1403 |
+
"step": 18000
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 100.56,
|
| 1407 |
+
"eval_loss": 0.8717033267021179,
|
| 1408 |
+
"eval_runtime": 192.2586,
|
| 1409 |
+
"eval_samples_per_second": 13.591,
|
| 1410 |
+
"eval_steps_per_second": 0.427,
|
| 1411 |
+
"eval_wer": 0.5661932538676135,
|
| 1412 |
+
"step": 18000
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 101.12,
|
| 1416 |
+
"learning_rate": 0.00028191836734693876,
|
| 1417 |
+
"loss": 0.1614,
|
| 1418 |
+
"step": 18100
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 101.68,
|
| 1422 |
+
"learning_rate": 0.00027783673469387757,
|
| 1423 |
+
"loss": 0.1641,
|
| 1424 |
+
"step": 18200
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 102.23,
|
| 1428 |
+
"learning_rate": 0.0002737551020408163,
|
| 1429 |
+
"loss": 0.1615,
|
| 1430 |
+
"step": 18300
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 102.79,
|
| 1434 |
+
"learning_rate": 0.0002696734693877551,
|
| 1435 |
+
"loss": 0.1588,
|
| 1436 |
+
"step": 18400
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 103.35,
|
| 1440 |
+
"learning_rate": 0.0002655918367346939,
|
| 1441 |
+
"loss": 0.1623,
|
| 1442 |
+
"step": 18500
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 103.35,
|
| 1446 |
+
"eval_loss": 0.8533861041069031,
|
| 1447 |
+
"eval_runtime": 187.659,
|
| 1448 |
+
"eval_samples_per_second": 13.924,
|
| 1449 |
+
"eval_steps_per_second": 0.437,
|
| 1450 |
+
"eval_wer": 0.5594090793811819,
|
| 1451 |
+
"step": 18500
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 103.91,
|
| 1455 |
+
"learning_rate": 0.0002615102040816327,
|
| 1456 |
+
"loss": 0.1566,
|
| 1457 |
+
"step": 18600
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 104.47,
|
| 1461 |
+
"learning_rate": 0.0002574285714285715,
|
| 1462 |
+
"loss": 0.1528,
|
| 1463 |
+
"step": 18700
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 105.03,
|
| 1467 |
+
"learning_rate": 0.0002533469387755102,
|
| 1468 |
+
"loss": 0.1538,
|
| 1469 |
+
"step": 18800
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 105.59,
|
| 1473 |
+
"learning_rate": 0.000249265306122449,
|
| 1474 |
+
"loss": 0.1557,
|
| 1475 |
+
"step": 18900
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 106.15,
|
| 1479 |
+
"learning_rate": 0.00024518367346938773,
|
| 1480 |
+
"loss": 0.158,
|
| 1481 |
+
"step": 19000
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 106.15,
|
| 1485 |
+
"eval_loss": 0.8595470786094666,
|
| 1486 |
+
"eval_runtime": 194.975,
|
| 1487 |
+
"eval_samples_per_second": 13.402,
|
| 1488 |
+
"eval_steps_per_second": 0.421,
|
| 1489 |
+
"eval_wer": 0.5546221151407558,
|
| 1490 |
+
"step": 19000
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 106.7,
|
| 1494 |
+
"learning_rate": 0.00024110204081632654,
|
| 1495 |
+
"loss": 0.1459,
|
| 1496 |
+
"step": 19100
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 107.26,
|
| 1500 |
+
"learning_rate": 0.00023702040816326532,
|
| 1501 |
+
"loss": 0.152,
|
| 1502 |
+
"step": 19200
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 107.82,
|
| 1506 |
+
"learning_rate": 0.0002329387755102041,
|
| 1507 |
+
"loss": 0.1533,
|
| 1508 |
+
"step": 19300
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 108.38,
|
| 1512 |
+
"learning_rate": 0.00022885714285714287,
|
| 1513 |
+
"loss": 0.146,
|
| 1514 |
+
"step": 19400
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 108.94,
|
| 1518 |
+
"learning_rate": 0.00022477551020408162,
|
| 1519 |
+
"loss": 0.1508,
|
| 1520 |
+
"step": 19500
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 108.94,
|
| 1524 |
+
"eval_loss": 0.8573695421218872,
|
| 1525 |
+
"eval_runtime": 191.3527,
|
| 1526 |
+
"eval_samples_per_second": 13.655,
|
| 1527 |
+
"eval_steps_per_second": 0.429,
|
| 1528 |
+
"eval_wer": 0.5544636063910728,
|
| 1529 |
+
"step": 19500
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 109.5,
|
| 1533 |
+
"learning_rate": 0.0002206938775510204,
|
| 1534 |
+
"loss": 0.1454,
|
| 1535 |
+
"step": 19600
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 110.06,
|
| 1539 |
+
"learning_rate": 0.0002166122448979592,
|
| 1540 |
+
"loss": 0.1466,
|
| 1541 |
+
"step": 19700
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 110.61,
|
| 1545 |
+
"learning_rate": 0.00021253061224489798,
|
| 1546 |
+
"loss": 0.1416,
|
| 1547 |
+
"step": 19800
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 111.17,
|
| 1551 |
+
"learning_rate": 0.00020844897959183673,
|
| 1552 |
+
"loss": 0.1444,
|
| 1553 |
+
"step": 19900
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 111.73,
|
| 1557 |
+
"learning_rate": 0.0002043673469387755,
|
| 1558 |
+
"loss": 0.142,
|
| 1559 |
+
"step": 20000
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 111.73,
|
| 1563 |
+
"eval_loss": 0.867087721824646,
|
| 1564 |
+
"eval_runtime": 187.948,
|
| 1565 |
+
"eval_samples_per_second": 13.903,
|
| 1566 |
+
"eval_steps_per_second": 0.436,
|
| 1567 |
+
"eval_wer": 0.5536710626426579,
|
| 1568 |
+
"step": 20000
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 112.29,
|
| 1572 |
+
"learning_rate": 0.0002002857142857143,
|
| 1573 |
+
"loss": 0.1485,
|
| 1574 |
+
"step": 20100
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 112.85,
|
| 1578 |
+
"learning_rate": 0.00019620408163265306,
|
| 1579 |
+
"loss": 0.1466,
|
| 1580 |
+
"step": 20200
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 113.41,
|
| 1584 |
+
"learning_rate": 0.00019212244897959184,
|
| 1585 |
+
"loss": 0.1364,
|
| 1586 |
+
"step": 20300
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 113.97,
|
| 1590 |
+
"learning_rate": 0.00018804081632653062,
|
| 1591 |
+
"loss": 0.1421,
|
| 1592 |
+
"step": 20400
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 114.53,
|
| 1596 |
+
"learning_rate": 0.0001839591836734694,
|
| 1597 |
+
"loss": 0.1395,
|
| 1598 |
+
"step": 20500
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 114.53,
|
| 1602 |
+
"eval_loss": 0.843588650226593,
|
| 1603 |
+
"eval_runtime": 191.7789,
|
| 1604 |
+
"eval_samples_per_second": 13.625,
|
| 1605 |
+
"eval_steps_per_second": 0.428,
|
| 1606 |
+
"eval_wer": 0.5524663961450672,
|
| 1607 |
+
"step": 20500
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 115.08,
|
| 1611 |
+
"learning_rate": 0.00017987755102040817,
|
| 1612 |
+
"loss": 0.1409,
|
| 1613 |
+
"step": 20600
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 115.64,
|
| 1617 |
+
"learning_rate": 0.00017579591836734692,
|
| 1618 |
+
"loss": 0.1356,
|
| 1619 |
+
"step": 20700
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 116.2,
|
| 1623 |
+
"learning_rate": 0.0001717142857142857,
|
| 1624 |
+
"loss": 0.1364,
|
| 1625 |
+
"step": 20800
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 116.76,
|
| 1629 |
+
"learning_rate": 0.0001676326530612245,
|
| 1630 |
+
"loss": 0.1328,
|
| 1631 |
+
"step": 20900
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 117.32,
|
| 1635 |
+
"learning_rate": 0.0001635918367346939,
|
| 1636 |
+
"loss": 0.1373,
|
| 1637 |
+
"step": 21000
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 117.32,
|
| 1641 |
+
"eval_loss": 0.8807795643806458,
|
| 1642 |
+
"eval_runtime": 186.8391,
|
| 1643 |
+
"eval_samples_per_second": 13.985,
|
| 1644 |
+
"eval_steps_per_second": 0.439,
|
| 1645 |
+
"eval_wer": 0.5481866599036267,
|
| 1646 |
+
"step": 21000
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 117.88,
|
| 1650 |
+
"learning_rate": 0.00015951020408163267,
|
| 1651 |
+
"loss": 0.1316,
|
| 1652 |
+
"step": 21100
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 118.44,
|
| 1656 |
+
"learning_rate": 0.00015542857142857142,
|
| 1657 |
+
"loss": 0.133,
|
| 1658 |
+
"step": 21200
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 118.99,
|
| 1662 |
+
"learning_rate": 0.0001513469387755102,
|
| 1663 |
+
"loss": 0.1348,
|
| 1664 |
+
"step": 21300
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 119.55,
|
| 1668 |
+
"learning_rate": 0.00014726530612244897,
|
| 1669 |
+
"loss": 0.1321,
|
| 1670 |
+
"step": 21400
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 120.11,
|
| 1674 |
+
"learning_rate": 0.00014318367346938778,
|
| 1675 |
+
"loss": 0.1338,
|
| 1676 |
+
"step": 21500
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 120.11,
|
| 1680 |
+
"eval_loss": 0.902350127696991,
|
| 1681 |
+
"eval_runtime": 188.1097,
|
| 1682 |
+
"eval_samples_per_second": 13.891,
|
| 1683 |
+
"eval_steps_per_second": 0.436,
|
| 1684 |
+
"eval_wer": 0.5418146081663708,
|
| 1685 |
+
"step": 21500
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 120.67,
|
| 1689 |
+
"learning_rate": 0.00013910204081632655,
|
| 1690 |
+
"loss": 0.1248,
|
| 1691 |
+
"step": 21600
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 121.23,
|
| 1695 |
+
"learning_rate": 0.0001350204081632653,
|
| 1696 |
+
"loss": 0.1267,
|
| 1697 |
+
"step": 21700
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 121.79,
|
| 1701 |
+
"learning_rate": 0.00013093877551020408,
|
| 1702 |
+
"loss": 0.1282,
|
| 1703 |
+
"step": 21800
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 122.35,
|
| 1707 |
+
"learning_rate": 0.00012685714285714286,
|
| 1708 |
+
"loss": 0.1284,
|
| 1709 |
+
"step": 21900
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 122.91,
|
| 1713 |
+
"learning_rate": 0.00012277551020408164,
|
| 1714 |
+
"loss": 0.1278,
|
| 1715 |
+
"step": 22000
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 122.91,
|
| 1719 |
+
"eval_loss": 0.9142583608627319,
|
| 1720 |
+
"eval_runtime": 187.6194,
|
| 1721 |
+
"eval_samples_per_second": 13.927,
|
| 1722 |
+
"eval_steps_per_second": 0.437,
|
| 1723 |
+
"eval_wer": 0.5408952574182094,
|
| 1724 |
+
"step": 22000
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 123.46,
|
| 1728 |
+
"learning_rate": 0.00011869387755102041,
|
| 1729 |
+
"loss": 0.1292,
|
| 1730 |
+
"step": 22100
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 124.02,
|
| 1734 |
+
"learning_rate": 0.00011461224489795918,
|
| 1735 |
+
"loss": 0.1201,
|
| 1736 |
+
"step": 22200
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 124.58,
|
| 1740 |
+
"learning_rate": 0.00011053061224489797,
|
| 1741 |
+
"loss": 0.1249,
|
| 1742 |
+
"step": 22300
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 125.14,
|
| 1746 |
+
"learning_rate": 0.00010644897959183673,
|
| 1747 |
+
"loss": 0.1251,
|
| 1748 |
+
"step": 22400
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 125.7,
|
| 1752 |
+
"learning_rate": 0.00010236734693877551,
|
| 1753 |
+
"loss": 0.1207,
|
| 1754 |
+
"step": 22500
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 125.7,
|
| 1758 |
+
"eval_loss": 0.8916703462600708,
|
| 1759 |
+
"eval_runtime": 187.4806,
|
| 1760 |
+
"eval_samples_per_second": 13.937,
|
| 1761 |
+
"eval_steps_per_second": 0.437,
|
| 1762 |
+
"eval_wer": 0.5357912756784174,
|
| 1763 |
+
"step": 22500
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 126.26,
|
| 1767 |
+
"learning_rate": 9.828571428571429e-05,
|
| 1768 |
+
"loss": 0.1233,
|
| 1769 |
+
"step": 22600
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 126.82,
|
| 1773 |
+
"learning_rate": 9.420408163265307e-05,
|
| 1774 |
+
"loss": 0.1217,
|
| 1775 |
+
"step": 22700
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 127.37,
|
| 1779 |
+
"learning_rate": 9.012244897959183e-05,
|
| 1780 |
+
"loss": 0.1197,
|
| 1781 |
+
"step": 22800
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 127.93,
|
| 1785 |
+
"learning_rate": 8.604081632653062e-05,
|
| 1786 |
+
"loss": 0.1167,
|
| 1787 |
+
"step": 22900
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 128.49,
|
| 1791 |
+
"learning_rate": 8.195918367346938e-05,
|
| 1792 |
+
"loss": 0.1203,
|
| 1793 |
+
"step": 23000
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 128.49,
|
| 1797 |
+
"eval_loss": 0.9041045904159546,
|
| 1798 |
+
"eval_runtime": 186.9588,
|
| 1799 |
+
"eval_samples_per_second": 13.976,
|
| 1800 |
+
"eval_steps_per_second": 0.439,
|
| 1801 |
+
"eval_wer": 0.5341110829317778,
|
| 1802 |
+
"step": 23000
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 129.05,
|
| 1806 |
+
"learning_rate": 7.791836734693878e-05,
|
| 1807 |
+
"loss": 0.1199,
|
| 1808 |
+
"step": 23100
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 129.61,
|
| 1812 |
+
"learning_rate": 7.383673469387756e-05,
|
| 1813 |
+
"loss": 0.1171,
|
| 1814 |
+
"step": 23200
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 130.17,
|
| 1818 |
+
"learning_rate": 6.975510204081632e-05,
|
| 1819 |
+
"loss": 0.1136,
|
| 1820 |
+
"step": 23300
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 130.73,
|
| 1824 |
+
"learning_rate": 6.567346938775511e-05,
|
| 1825 |
+
"loss": 0.1133,
|
| 1826 |
+
"step": 23400
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 131.28,
|
| 1830 |
+
"learning_rate": 6.159183673469388e-05,
|
| 1831 |
+
"loss": 0.1083,
|
| 1832 |
+
"step": 23500
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 131.28,
|
| 1836 |
+
"eval_loss": 0.8883697986602783,
|
| 1837 |
+
"eval_runtime": 186.6245,
|
| 1838 |
+
"eval_samples_per_second": 14.001,
|
| 1839 |
+
"eval_steps_per_second": 0.439,
|
| 1840 |
+
"eval_wer": 0.5340793811818413,
|
| 1841 |
+
"step": 23500
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 131.84,
|
| 1845 |
+
"learning_rate": 5.751020408163265e-05,
|
| 1846 |
+
"loss": 0.115,
|
| 1847 |
+
"step": 23600
|
| 1848 |
+
},
|
| 1849 |
+
{
|
| 1850 |
+
"epoch": 132.4,
|
| 1851 |
+
"learning_rate": 5.342857142857143e-05,
|
| 1852 |
+
"loss": 0.1132,
|
| 1853 |
+
"step": 23700
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"epoch": 132.96,
|
| 1857 |
+
"learning_rate": 4.934693877551021e-05,
|
| 1858 |
+
"loss": 0.1111,
|
| 1859 |
+
"step": 23800
|
| 1860 |
+
},
|
| 1861 |
+
{
|
| 1862 |
+
"epoch": 133.52,
|
| 1863 |
+
"learning_rate": 4.526530612244898e-05,
|
| 1864 |
+
"loss": 0.1079,
|
| 1865 |
+
"step": 23900
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 134.08,
|
| 1869 |
+
"learning_rate": 4.1183673469387756e-05,
|
| 1870 |
+
"loss": 0.1147,
|
| 1871 |
+
"step": 24000
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 134.08,
|
| 1875 |
+
"eval_loss": 0.891002357006073,
|
| 1876 |
+
"eval_runtime": 186.8507,
|
| 1877 |
+
"eval_samples_per_second": 13.984,
|
| 1878 |
+
"eval_steps_per_second": 0.439,
|
| 1879 |
+
"eval_wer": 0.525456505199087,
|
| 1880 |
+
"step": 24000
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 134.64,
|
| 1884 |
+
"learning_rate": 3.7102040816326533e-05,
|
| 1885 |
+
"loss": 0.1085,
|
| 1886 |
+
"step": 24100
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 135.2,
|
| 1890 |
+
"learning_rate": 3.3020408163265304e-05,
|
| 1891 |
+
"loss": 0.1104,
|
| 1892 |
+
"step": 24200
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 135.75,
|
| 1896 |
+
"learning_rate": 2.8938775510204082e-05,
|
| 1897 |
+
"loss": 0.1096,
|
| 1898 |
+
"step": 24300
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 136.31,
|
| 1902 |
+
"learning_rate": 2.4857142857142856e-05,
|
| 1903 |
+
"loss": 0.1064,
|
| 1904 |
+
"step": 24400
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 136.87,
|
| 1908 |
+
"learning_rate": 2.0775510204081633e-05,
|
| 1909 |
+
"loss": 0.1129,
|
| 1910 |
+
"step": 24500
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 136.87,
|
| 1914 |
+
"eval_loss": 0.8826149106025696,
|
| 1915 |
+
"eval_runtime": 187.6626,
|
| 1916 |
+
"eval_samples_per_second": 13.924,
|
| 1917 |
+
"eval_steps_per_second": 0.437,
|
| 1918 |
+
"eval_wer": 0.52412503170175,
|
| 1919 |
+
"step": 24500
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 137.43,
|
| 1923 |
+
"learning_rate": 1.669387755102041e-05,
|
| 1924 |
+
"loss": 0.1086,
|
| 1925 |
+
"step": 24600
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 137.99,
|
| 1929 |
+
"learning_rate": 1.2612244897959185e-05,
|
| 1930 |
+
"loss": 0.1061,
|
| 1931 |
+
"step": 24700
|
| 1932 |
+
},
|
| 1933 |
+
{
|
| 1934 |
+
"epoch": 138.55,
|
| 1935 |
+
"learning_rate": 8.53061224489796e-06,
|
| 1936 |
+
"loss": 0.1104,
|
| 1937 |
+
"step": 24800
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 139.11,
|
| 1941 |
+
"learning_rate": 4.448979591836735e-06,
|
| 1942 |
+
"loss": 0.1095,
|
| 1943 |
+
"step": 24900
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 139.66,
|
| 1947 |
+
"learning_rate": 3.673469387755102e-07,
|
| 1948 |
+
"loss": 0.1029,
|
| 1949 |
+
"step": 25000
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 139.66,
|
| 1953 |
+
"eval_loss": 0.882430911064148,
|
| 1954 |
+
"eval_runtime": 187.8168,
|
| 1955 |
+
"eval_samples_per_second": 13.912,
|
| 1956 |
+
"eval_steps_per_second": 0.437,
|
| 1957 |
+
"eval_wer": 0.5246322597007355,
|
| 1958 |
+
"step": 25000
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 139.66,
|
| 1962 |
+
"step": 25000,
|
| 1963 |
+
"total_flos": 4.393390203049772e+20,
|
| 1964 |
+
"train_loss": 0.3391121254348755,
|
| 1965 |
+
"train_runtime": 108834.0383,
|
| 1966 |
+
"train_samples_per_second": 7.351,
|
| 1967 |
+
"train_steps_per_second": 0.23
|
| 1968 |
+
}
|
| 1969 |
+
],
|
| 1970 |
+
"max_steps": 25000,
|
| 1971 |
+
"num_train_epochs": 140,
|
| 1972 |
+
"total_flos": 4.393390203049772e+20,
|
| 1973 |
+
"trial_name": null,
|
| 1974 |
+
"trial_params": null
|
| 1975 |
+
}
|