End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.99,
|
| 3 |
+
"eval_loss": 0.6378720998764038,
|
| 4 |
+
"eval_runtime": 9.0914,
|
| 5 |
+
"eval_samples": 63,
|
| 6 |
+
"eval_samples_per_second": 6.93,
|
| 7 |
+
"eval_steps_per_second": 1.76,
|
| 8 |
+
"eval_wer": 0.37916490932096164,
|
| 9 |
+
"train_loss": 0.4800486422266279,
|
| 10 |
+
"train_runtime": 12025.3803,
|
| 11 |
+
"train_samples": 563,
|
| 12 |
+
"train_samples_per_second": 4.682,
|
| 13 |
+
"train_steps_per_second": 0.291
|
| 14 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.99,
|
| 3 |
+
"eval_loss": 0.6378720998764038,
|
| 4 |
+
"eval_runtime": 9.0914,
|
| 5 |
+
"eval_samples": 63,
|
| 6 |
+
"eval_samples_per_second": 6.93,
|
| 7 |
+
"eval_steps_per_second": 1.76,
|
| 8 |
+
"eval_wer": 0.37916490932096164
|
| 9 |
+
}
|
runs/Nov25_07-58-12_4b2aca464fe8/events.out.tfevents.1669375820.4b2aca464fe8.12485.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab171b2008a775b049057dced237084109837a48fa372326d84a24e5ba1209eb
|
| 3 |
+
size 358
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.99,
|
| 3 |
+
"train_loss": 0.4800486422266279,
|
| 4 |
+
"train_runtime": 12025.3803,
|
| 5 |
+
"train_samples": 563,
|
| 6 |
+
"train_samples_per_second": 4.682,
|
| 7 |
+
"train_steps_per_second": 0.291
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3025 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.6378720998764038,
|
| 3 |
+
"best_model_checkpoint": "ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-mdb-enst-2/checkpoint-700",
|
| 4 |
+
"epoch": 99.99290780141844,
|
| 5 |
+
"global_step": 3500,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.28,
|
| 12 |
+
"learning_rate": 7e-05,
|
| 13 |
+
"loss": 2.6822,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.57,
|
| 18 |
+
"learning_rate": 0.00016999999999999999,
|
| 19 |
+
"loss": 1.5659,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.85,
|
| 24 |
+
"learning_rate": 0.00026,
|
| 25 |
+
"loss": 1.4226,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.99,
|
| 30 |
+
"eval_loss": 2.0435445308685303,
|
| 31 |
+
"eval_runtime": 8.6793,
|
| 32 |
+
"eval_samples_per_second": 7.259,
|
| 33 |
+
"eval_steps_per_second": 1.843,
|
| 34 |
+
"eval_wer": 0.4154365246731337,
|
| 35 |
+
"step": 35
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 1.14,
|
| 39 |
+
"learning_rate": 0.00029948126801152735,
|
| 40 |
+
"loss": 1.0316,
|
| 41 |
+
"step": 40
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 1.43,
|
| 45 |
+
"learning_rate": 0.0002986167146974063,
|
| 46 |
+
"loss": 1.0479,
|
| 47 |
+
"step": 50
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 1.71,
|
| 51 |
+
"learning_rate": 0.0002977521613832853,
|
| 52 |
+
"loss": 1.0524,
|
| 53 |
+
"step": 60
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 1.99,
|
| 57 |
+
"learning_rate": 0.00029688760806916427,
|
| 58 |
+
"loss": 0.8744,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 1.99,
|
| 63 |
+
"eval_loss": 1.71934175491333,
|
| 64 |
+
"eval_runtime": 9.0494,
|
| 65 |
+
"eval_samples_per_second": 6.962,
|
| 66 |
+
"eval_steps_per_second": 1.768,
|
| 67 |
+
"eval_wer": 0.43821172501054406,
|
| 68 |
+
"step": 70
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 2.28,
|
| 72 |
+
"learning_rate": 0.0002960230547550432,
|
| 73 |
+
"loss": 0.8641,
|
| 74 |
+
"step": 80
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.57,
|
| 78 |
+
"learning_rate": 0.00029515850144092216,
|
| 79 |
+
"loss": 0.8469,
|
| 80 |
+
"step": 90
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 2.85,
|
| 84 |
+
"learning_rate": 0.00029429394812680113,
|
| 85 |
+
"loss": 0.9474,
|
| 86 |
+
"step": 100
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.99,
|
| 90 |
+
"eval_loss": 1.7853245735168457,
|
| 91 |
+
"eval_runtime": 9.2275,
|
| 92 |
+
"eval_samples_per_second": 6.827,
|
| 93 |
+
"eval_steps_per_second": 1.734,
|
| 94 |
+
"eval_wer": 0.4373681990721215,
|
| 95 |
+
"step": 105
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 3.14,
|
| 99 |
+
"learning_rate": 0.00029342939481268005,
|
| 100 |
+
"loss": 0.9012,
|
| 101 |
+
"step": 110
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 3.43,
|
| 105 |
+
"learning_rate": 0.0002925648414985591,
|
| 106 |
+
"loss": 0.9915,
|
| 107 |
+
"step": 120
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 3.71,
|
| 111 |
+
"learning_rate": 0.000291700288184438,
|
| 112 |
+
"loss": 0.7743,
|
| 113 |
+
"step": 130
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 3.99,
|
| 117 |
+
"learning_rate": 0.00029083573487031697,
|
| 118 |
+
"loss": 0.8316,
|
| 119 |
+
"step": 140
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 3.99,
|
| 123 |
+
"eval_loss": 1.2827332019805908,
|
| 124 |
+
"eval_runtime": 9.447,
|
| 125 |
+
"eval_samples_per_second": 6.669,
|
| 126 |
+
"eval_steps_per_second": 1.694,
|
| 127 |
+
"eval_wer": 0.4306199915647406,
|
| 128 |
+
"step": 140
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 4.28,
|
| 132 |
+
"learning_rate": 0.00028997118155619595,
|
| 133 |
+
"loss": 0.7751,
|
| 134 |
+
"step": 150
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 4.57,
|
| 138 |
+
"learning_rate": 0.0002891066282420749,
|
| 139 |
+
"loss": 0.8104,
|
| 140 |
+
"step": 160
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 4.85,
|
| 144 |
+
"learning_rate": 0.00028824207492795384,
|
| 145 |
+
"loss": 0.8336,
|
| 146 |
+
"step": 170
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 4.99,
|
| 150 |
+
"eval_loss": 1.0676425695419312,
|
| 151 |
+
"eval_runtime": 8.8457,
|
| 152 |
+
"eval_samples_per_second": 7.122,
|
| 153 |
+
"eval_steps_per_second": 1.809,
|
| 154 |
+
"eval_wer": 0.40404892450442853,
|
| 155 |
+
"step": 175
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 5.14,
|
| 159 |
+
"learning_rate": 0.00028737752161383287,
|
| 160 |
+
"loss": 0.7711,
|
| 161 |
+
"step": 180
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 5.43,
|
| 165 |
+
"learning_rate": 0.0002865129682997118,
|
| 166 |
+
"loss": 0.6393,
|
| 167 |
+
"step": 190
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 5.71,
|
| 171 |
+
"learning_rate": 0.00028564841498559076,
|
| 172 |
+
"loss": 0.7828,
|
| 173 |
+
"step": 200
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 5.99,
|
| 177 |
+
"learning_rate": 0.00028478386167146973,
|
| 178 |
+
"loss": 0.7345,
|
| 179 |
+
"step": 210
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 5.99,
|
| 183 |
+
"eval_loss": 1.5363637208938599,
|
| 184 |
+
"eval_runtime": 8.9421,
|
| 185 |
+
"eval_samples_per_second": 7.045,
|
| 186 |
+
"eval_steps_per_second": 1.789,
|
| 187 |
+
"eval_wer": 0.4264023618726276,
|
| 188 |
+
"step": 210
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 6.28,
|
| 192 |
+
"learning_rate": 0.00028391930835734865,
|
| 193 |
+
"loss": 0.7525,
|
| 194 |
+
"step": 220
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 6.57,
|
| 198 |
+
"learning_rate": 0.0002830547550432276,
|
| 199 |
+
"loss": 0.6614,
|
| 200 |
+
"step": 230
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 6.85,
|
| 204 |
+
"learning_rate": 0.0002821902017291066,
|
| 205 |
+
"loss": 0.6666,
|
| 206 |
+
"step": 240
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 6.99,
|
| 210 |
+
"eval_loss": 1.428429365158081,
|
| 211 |
+
"eval_runtime": 8.8874,
|
| 212 |
+
"eval_samples_per_second": 7.089,
|
| 213 |
+
"eval_steps_per_second": 1.8,
|
| 214 |
+
"eval_wer": 0.4584563475326866,
|
| 215 |
+
"step": 245
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 7.14,
|
| 219 |
+
"learning_rate": 0.00028132564841498557,
|
| 220 |
+
"loss": 0.7812,
|
| 221 |
+
"step": 250
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 7.43,
|
| 225 |
+
"learning_rate": 0.00028046109510086454,
|
| 226 |
+
"loss": 0.6833,
|
| 227 |
+
"step": 260
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 7.71,
|
| 231 |
+
"learning_rate": 0.0002795965417867435,
|
| 232 |
+
"loss": 0.7328,
|
| 233 |
+
"step": 270
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 7.99,
|
| 237 |
+
"learning_rate": 0.00027873198847262244,
|
| 238 |
+
"loss": 0.6677,
|
| 239 |
+
"step": 280
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 7.99,
|
| 243 |
+
"eval_loss": 0.9474982023239136,
|
| 244 |
+
"eval_runtime": 8.8866,
|
| 245 |
+
"eval_samples_per_second": 7.089,
|
| 246 |
+
"eval_steps_per_second": 1.8,
|
| 247 |
+
"eval_wer": 0.40025305778152676,
|
| 248 |
+
"step": 280
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 8.28,
|
| 252 |
+
"learning_rate": 0.0002778674351585014,
|
| 253 |
+
"loss": 0.7165,
|
| 254 |
+
"step": 290
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 8.57,
|
| 258 |
+
"learning_rate": 0.0002770028818443804,
|
| 259 |
+
"loss": 0.667,
|
| 260 |
+
"step": 300
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 8.85,
|
| 264 |
+
"learning_rate": 0.00027613832853025936,
|
| 265 |
+
"loss": 0.6779,
|
| 266 |
+
"step": 310
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 8.99,
|
| 270 |
+
"eval_loss": 1.1171544790267944,
|
| 271 |
+
"eval_runtime": 9.1402,
|
| 272 |
+
"eval_samples_per_second": 6.893,
|
| 273 |
+
"eval_steps_per_second": 1.751,
|
| 274 |
+
"eval_wer": 0.42091944327288067,
|
| 275 |
+
"step": 315
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 9.14,
|
| 279 |
+
"learning_rate": 0.0002752737752161383,
|
| 280 |
+
"loss": 0.7132,
|
| 281 |
+
"step": 320
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 9.43,
|
| 285 |
+
"learning_rate": 0.00027440922190201725,
|
| 286 |
+
"loss": 0.7306,
|
| 287 |
+
"step": 330
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 9.71,
|
| 291 |
+
"learning_rate": 0.0002735446685878962,
|
| 292 |
+
"loss": 0.6461,
|
| 293 |
+
"step": 340
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 9.99,
|
| 297 |
+
"learning_rate": 0.0002726801152737752,
|
| 298 |
+
"loss": 0.6503,
|
| 299 |
+
"step": 350
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 9.99,
|
| 303 |
+
"eval_loss": 0.8998618721961975,
|
| 304 |
+
"eval_runtime": 8.8852,
|
| 305 |
+
"eval_samples_per_second": 7.09,
|
| 306 |
+
"eval_steps_per_second": 1.801,
|
| 307 |
+
"eval_wer": 0.3833825390130747,
|
| 308 |
+
"step": 350
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 10.28,
|
| 312 |
+
"learning_rate": 0.00027181556195965417,
|
| 313 |
+
"loss": 0.6801,
|
| 314 |
+
"step": 360
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 10.57,
|
| 318 |
+
"learning_rate": 0.0002709510086455331,
|
| 319 |
+
"loss": 0.6139,
|
| 320 |
+
"step": 370
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 10.85,
|
| 324 |
+
"learning_rate": 0.00027008645533141206,
|
| 325 |
+
"loss": 0.6159,
|
| 326 |
+
"step": 380
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 10.99,
|
| 330 |
+
"eval_loss": 1.150137186050415,
|
| 331 |
+
"eval_runtime": 8.854,
|
| 332 |
+
"eval_samples_per_second": 7.115,
|
| 333 |
+
"eval_steps_per_second": 1.807,
|
| 334 |
+
"eval_wer": 0.4386334879797554,
|
| 335 |
+
"step": 385
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 11.14,
|
| 339 |
+
"learning_rate": 0.00026922190201729104,
|
| 340 |
+
"loss": 0.8074,
|
| 341 |
+
"step": 390
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 11.43,
|
| 345 |
+
"learning_rate": 0.00026835734870317,
|
| 346 |
+
"loss": 0.6521,
|
| 347 |
+
"step": 400
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 11.71,
|
| 351 |
+
"learning_rate": 0.000267492795389049,
|
| 352 |
+
"loss": 0.6608,
|
| 353 |
+
"step": 410
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 11.99,
|
| 357 |
+
"learning_rate": 0.00026662824207492796,
|
| 358 |
+
"loss": 0.6831,
|
| 359 |
+
"step": 420
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 11.99,
|
| 363 |
+
"eval_loss": 1.0860137939453125,
|
| 364 |
+
"eval_runtime": 8.8923,
|
| 365 |
+
"eval_samples_per_second": 7.085,
|
| 366 |
+
"eval_steps_per_second": 1.799,
|
| 367 |
+
"eval_wer": 0.38253901307465205,
|
| 368 |
+
"step": 420
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 12.28,
|
| 372 |
+
"learning_rate": 0.0002657636887608069,
|
| 373 |
+
"loss": 0.6523,
|
| 374 |
+
"step": 430
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 12.57,
|
| 378 |
+
"learning_rate": 0.00026489913544668585,
|
| 379 |
+
"loss": 0.5839,
|
| 380 |
+
"step": 440
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 12.85,
|
| 384 |
+
"learning_rate": 0.0002640345821325648,
|
| 385 |
+
"loss": 0.5959,
|
| 386 |
+
"step": 450
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 12.99,
|
| 390 |
+
"eval_loss": 0.9410010576248169,
|
| 391 |
+
"eval_runtime": 8.8805,
|
| 392 |
+
"eval_samples_per_second": 7.094,
|
| 393 |
+
"eval_steps_per_second": 1.802,
|
| 394 |
+
"eval_wer": 0.4044706874736398,
|
| 395 |
+
"step": 455
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 13.14,
|
| 399 |
+
"learning_rate": 0.00026317002881844374,
|
| 400 |
+
"loss": 0.6781,
|
| 401 |
+
"step": 460
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 13.43,
|
| 405 |
+
"learning_rate": 0.00026230547550432277,
|
| 406 |
+
"loss": 0.6091,
|
| 407 |
+
"step": 470
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 13.71,
|
| 411 |
+
"learning_rate": 0.0002614409221902017,
|
| 412 |
+
"loss": 0.6359,
|
| 413 |
+
"step": 480
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 13.99,
|
| 417 |
+
"learning_rate": 0.00026057636887608066,
|
| 418 |
+
"loss": 0.7154,
|
| 419 |
+
"step": 490
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 13.99,
|
| 423 |
+
"eval_loss": 1.0462627410888672,
|
| 424 |
+
"eval_runtime": 9.045,
|
| 425 |
+
"eval_samples_per_second": 6.965,
|
| 426 |
+
"eval_steps_per_second": 1.769,
|
| 427 |
+
"eval_wer": 0.38211725010544073,
|
| 428 |
+
"step": 490
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 14.28,
|
| 432 |
+
"learning_rate": 0.00025971181556195964,
|
| 433 |
+
"loss": 0.6386,
|
| 434 |
+
"step": 500
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 14.57,
|
| 438 |
+
"learning_rate": 0.0002588472622478386,
|
| 439 |
+
"loss": 0.5766,
|
| 440 |
+
"step": 510
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 14.85,
|
| 444 |
+
"learning_rate": 0.00025798270893371753,
|
| 445 |
+
"loss": 0.6094,
|
| 446 |
+
"step": 520
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 14.99,
|
| 450 |
+
"eval_loss": 0.8598027229309082,
|
| 451 |
+
"eval_runtime": 8.8755,
|
| 452 |
+
"eval_samples_per_second": 7.098,
|
| 453 |
+
"eval_steps_per_second": 1.803,
|
| 454 |
+
"eval_wer": 0.39645719105862504,
|
| 455 |
+
"step": 525
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 15.14,
|
| 459 |
+
"learning_rate": 0.00025711815561959656,
|
| 460 |
+
"loss": 0.6392,
|
| 461 |
+
"step": 530
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 15.43,
|
| 465 |
+
"learning_rate": 0.0002562536023054755,
|
| 466 |
+
"loss": 0.6047,
|
| 467 |
+
"step": 540
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 15.71,
|
| 471 |
+
"learning_rate": 0.0002554755043227665,
|
| 472 |
+
"loss": 1.3821,
|
| 473 |
+
"step": 550
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 15.99,
|
| 477 |
+
"learning_rate": 0.00025461095100864553,
|
| 478 |
+
"loss": 0.6929,
|
| 479 |
+
"step": 560
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 15.99,
|
| 483 |
+
"eval_loss": 0.9493783116340637,
|
| 484 |
+
"eval_runtime": 8.8602,
|
| 485 |
+
"eval_samples_per_second": 7.11,
|
| 486 |
+
"eval_steps_per_second": 1.806,
|
| 487 |
+
"eval_wer": 0.39308308730493463,
|
| 488 |
+
"step": 560
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 16.28,
|
| 492 |
+
"learning_rate": 0.00025374639769452445,
|
| 493 |
+
"loss": 0.6521,
|
| 494 |
+
"step": 570
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 16.57,
|
| 498 |
+
"learning_rate": 0.00025288184438040343,
|
| 499 |
+
"loss": 0.6791,
|
| 500 |
+
"step": 580
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 16.85,
|
| 504 |
+
"learning_rate": 0.0002520172910662824,
|
| 505 |
+
"loss": 0.7627,
|
| 506 |
+
"step": 590
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 16.99,
|
| 510 |
+
"eval_loss": 0.8059821128845215,
|
| 511 |
+
"eval_runtime": 8.8362,
|
| 512 |
+
"eval_samples_per_second": 7.13,
|
| 513 |
+
"eval_steps_per_second": 1.811,
|
| 514 |
+
"eval_wer": 0.39477013918177983,
|
| 515 |
+
"step": 595
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 17.14,
|
| 519 |
+
"learning_rate": 0.0002511527377521614,
|
| 520 |
+
"loss": 0.6268,
|
| 521 |
+
"step": 600
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 17.43,
|
| 525 |
+
"learning_rate": 0.0002502881844380403,
|
| 526 |
+
"loss": 0.6496,
|
| 527 |
+
"step": 610
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 17.71,
|
| 531 |
+
"learning_rate": 0.0002494236311239193,
|
| 532 |
+
"loss": 0.6172,
|
| 533 |
+
"step": 620
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 17.99,
|
| 537 |
+
"learning_rate": 0.00024855907780979824,
|
| 538 |
+
"loss": 0.601,
|
| 539 |
+
"step": 630
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 17.99,
|
| 543 |
+
"eval_loss": 0.989000678062439,
|
| 544 |
+
"eval_runtime": 8.8942,
|
| 545 |
+
"eval_samples_per_second": 7.083,
|
| 546 |
+
"eval_steps_per_second": 1.799,
|
| 547 |
+
"eval_wer": 0.39645719105862504,
|
| 548 |
+
"step": 630
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 18.28,
|
| 552 |
+
"learning_rate": 0.0002476945244956772,
|
| 553 |
+
"loss": 0.6047,
|
| 554 |
+
"step": 640
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 18.57,
|
| 558 |
+
"learning_rate": 0.0002468299711815562,
|
| 559 |
+
"loss": 0.5297,
|
| 560 |
+
"step": 650
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 18.85,
|
| 564 |
+
"learning_rate": 0.0002459654178674351,
|
| 565 |
+
"loss": 0.546,
|
| 566 |
+
"step": 660
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 18.99,
|
| 570 |
+
"eval_loss": 0.8058700561523438,
|
| 571 |
+
"eval_runtime": 9.0371,
|
| 572 |
+
"eval_samples_per_second": 6.971,
|
| 573 |
+
"eval_steps_per_second": 1.77,
|
| 574 |
+
"eval_wer": 0.39898776887389287,
|
| 575 |
+
"step": 665
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 19.14,
|
| 579 |
+
"learning_rate": 0.0002451008645533141,
|
| 580 |
+
"loss": 0.5887,
|
| 581 |
+
"step": 670
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 19.43,
|
| 585 |
+
"learning_rate": 0.00024423631123919305,
|
| 586 |
+
"loss": 0.5546,
|
| 587 |
+
"step": 680
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 19.71,
|
| 591 |
+
"learning_rate": 0.00024337175792507203,
|
| 592 |
+
"loss": 0.6092,
|
| 593 |
+
"step": 690
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 19.99,
|
| 597 |
+
"learning_rate": 0.00024250720461095097,
|
| 598 |
+
"loss": 0.5222,
|
| 599 |
+
"step": 700
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 19.99,
|
| 603 |
+
"eval_loss": 0.6378720998764038,
|
| 604 |
+
"eval_runtime": 8.9217,
|
| 605 |
+
"eval_samples_per_second": 7.061,
|
| 606 |
+
"eval_steps_per_second": 1.793,
|
| 607 |
+
"eval_wer": 0.37916490932096164,
|
| 608 |
+
"step": 700
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 20.28,
|
| 612 |
+
"learning_rate": 0.00024164265129682995,
|
| 613 |
+
"loss": 0.6241,
|
| 614 |
+
"step": 710
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 20.57,
|
| 618 |
+
"learning_rate": 0.00024077809798270892,
|
| 619 |
+
"loss": 0.6277,
|
| 620 |
+
"step": 720
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 20.85,
|
| 624 |
+
"learning_rate": 0.0002399135446685879,
|
| 625 |
+
"loss": 0.5802,
|
| 626 |
+
"step": 730
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 20.99,
|
| 630 |
+
"eval_loss": 0.699506402015686,
|
| 631 |
+
"eval_runtime": 8.8339,
|
| 632 |
+
"eval_samples_per_second": 7.132,
|
| 633 |
+
"eval_steps_per_second": 1.811,
|
| 634 |
+
"eval_wer": 0.3660902572754112,
|
| 635 |
+
"step": 735
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 21.14,
|
| 639 |
+
"learning_rate": 0.00023904899135446684,
|
| 640 |
+
"loss": 0.6758,
|
| 641 |
+
"step": 740
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 21.43,
|
| 645 |
+
"learning_rate": 0.0002381844380403458,
|
| 646 |
+
"loss": 0.5938,
|
| 647 |
+
"step": 750
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 21.71,
|
| 651 |
+
"learning_rate": 0.00023731988472622476,
|
| 652 |
+
"loss": 0.6277,
|
| 653 |
+
"step": 760
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 21.99,
|
| 657 |
+
"learning_rate": 0.0002364553314121037,
|
| 658 |
+
"loss": 0.5731,
|
| 659 |
+
"step": 770
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 21.99,
|
| 663 |
+
"eval_loss": 0.8405329585075378,
|
| 664 |
+
"eval_runtime": 8.8637,
|
| 665 |
+
"eval_samples_per_second": 7.108,
|
| 666 |
+
"eval_steps_per_second": 1.805,
|
| 667 |
+
"eval_wer": 0.3606073386756643,
|
| 668 |
+
"step": 770
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 22.28,
|
| 672 |
+
"learning_rate": 0.00023559077809798268,
|
| 673 |
+
"loss": 0.5488,
|
| 674 |
+
"step": 780
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 22.57,
|
| 678 |
+
"learning_rate": 0.00023472622478386165,
|
| 679 |
+
"loss": 0.5718,
|
| 680 |
+
"step": 790
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 22.85,
|
| 684 |
+
"learning_rate": 0.00023386167146974063,
|
| 685 |
+
"loss": 0.5462,
|
| 686 |
+
"step": 800
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 22.99,
|
| 690 |
+
"eval_loss": 0.6666640639305115,
|
| 691 |
+
"eval_runtime": 8.9034,
|
| 692 |
+
"eval_samples_per_second": 7.076,
|
| 693 |
+
"eval_steps_per_second": 1.797,
|
| 694 |
+
"eval_wer": 0.39645719105862504,
|
| 695 |
+
"step": 805
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 23.14,
|
| 699 |
+
"learning_rate": 0.00023299711815561957,
|
| 700 |
+
"loss": 0.5111,
|
| 701 |
+
"step": 810
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 23.43,
|
| 705 |
+
"learning_rate": 0.00023213256484149854,
|
| 706 |
+
"loss": 0.5275,
|
| 707 |
+
"step": 820
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 23.71,
|
| 711 |
+
"learning_rate": 0.0002312680115273775,
|
| 712 |
+
"loss": 0.5692,
|
| 713 |
+
"step": 830
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 23.99,
|
| 717 |
+
"learning_rate": 0.00023040345821325646,
|
| 718 |
+
"loss": 0.6057,
|
| 719 |
+
"step": 840
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 23.99,
|
| 723 |
+
"eval_loss": 0.8396028280258179,
|
| 724 |
+
"eval_runtime": 9.0837,
|
| 725 |
+
"eval_samples_per_second": 6.935,
|
| 726 |
+
"eval_steps_per_second": 1.761,
|
| 727 |
+
"eval_wer": 0.3762125685364825,
|
| 728 |
+
"step": 840
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 24.28,
|
| 732 |
+
"learning_rate": 0.0002295389048991354,
|
| 733 |
+
"loss": 0.613,
|
| 734 |
+
"step": 850
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 24.57,
|
| 738 |
+
"learning_rate": 0.0002286743515850144,
|
| 739 |
+
"loss": 0.4814,
|
| 740 |
+
"step": 860
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 24.85,
|
| 744 |
+
"learning_rate": 0.00022780979827089336,
|
| 745 |
+
"loss": 0.5323,
|
| 746 |
+
"step": 870
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 24.99,
|
| 750 |
+
"eval_loss": 0.9054490327835083,
|
| 751 |
+
"eval_runtime": 8.8422,
|
| 752 |
+
"eval_samples_per_second": 7.125,
|
| 753 |
+
"eval_steps_per_second": 1.81,
|
| 754 |
+
"eval_wer": 0.39519190215099115,
|
| 755 |
+
"step": 875
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 25.14,
|
| 759 |
+
"learning_rate": 0.0002269452449567723,
|
| 760 |
+
"loss": 0.5585,
|
| 761 |
+
"step": 880
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 25.43,
|
| 765 |
+
"learning_rate": 0.00022608069164265128,
|
| 766 |
+
"loss": 0.5142,
|
| 767 |
+
"step": 890
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 25.71,
|
| 771 |
+
"learning_rate": 0.00022521613832853022,
|
| 772 |
+
"loss": 0.5325,
|
| 773 |
+
"step": 900
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 25.99,
|
| 777 |
+
"learning_rate": 0.0002243515850144092,
|
| 778 |
+
"loss": 0.683,
|
| 779 |
+
"step": 910
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 25.99,
|
| 783 |
+
"eval_loss": 0.689756453037262,
|
| 784 |
+
"eval_runtime": 8.8398,
|
| 785 |
+
"eval_samples_per_second": 7.127,
|
| 786 |
+
"eval_steps_per_second": 1.81,
|
| 787 |
+
"eval_wer": 0.40615773935048505,
|
| 788 |
+
"step": 910
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 26.28,
|
| 792 |
+
"learning_rate": 0.00022348703170028814,
|
| 793 |
+
"loss": 0.5484,
|
| 794 |
+
"step": 920
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 26.57,
|
| 798 |
+
"learning_rate": 0.00022262247838616714,
|
| 799 |
+
"loss": 0.4704,
|
| 800 |
+
"step": 930
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 26.85,
|
| 804 |
+
"learning_rate": 0.0002217579250720461,
|
| 805 |
+
"loss": 0.525,
|
| 806 |
+
"step": 940
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 26.99,
|
| 810 |
+
"eval_loss": 0.7244584560394287,
|
| 811 |
+
"eval_runtime": 8.8634,
|
| 812 |
+
"eval_samples_per_second": 7.108,
|
| 813 |
+
"eval_steps_per_second": 1.805,
|
| 814 |
+
"eval_wer": 0.3884436946436103,
|
| 815 |
+
"step": 945
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 27.14,
|
| 819 |
+
"learning_rate": 0.00022089337175792506,
|
| 820 |
+
"loss": 0.5174,
|
| 821 |
+
"step": 950
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 27.43,
|
| 825 |
+
"learning_rate": 0.000220028818443804,
|
| 826 |
+
"loss": 0.5248,
|
| 827 |
+
"step": 960
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 27.71,
|
| 831 |
+
"learning_rate": 0.00021916426512968298,
|
| 832 |
+
"loss": 0.5203,
|
| 833 |
+
"step": 970
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 27.99,
|
| 837 |
+
"learning_rate": 0.00021829971181556193,
|
| 838 |
+
"loss": 0.4885,
|
| 839 |
+
"step": 980
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 27.99,
|
| 843 |
+
"eval_loss": 0.807603120803833,
|
| 844 |
+
"eval_runtime": 8.8102,
|
| 845 |
+
"eval_samples_per_second": 7.151,
|
| 846 |
+
"eval_steps_per_second": 1.816,
|
| 847 |
+
"eval_wer": 0.4048924504428511,
|
| 848 |
+
"step": 980
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 28.28,
|
| 852 |
+
"learning_rate": 0.00021743515850144088,
|
| 853 |
+
"loss": 0.5582,
|
| 854 |
+
"step": 990
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 28.57,
|
| 858 |
+
"learning_rate": 0.00021657060518731988,
|
| 859 |
+
"loss": 0.4763,
|
| 860 |
+
"step": 1000
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 28.85,
|
| 864 |
+
"learning_rate": 0.00021570605187319882,
|
| 865 |
+
"loss": 0.4653,
|
| 866 |
+
"step": 1010
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 28.99,
|
| 870 |
+
"eval_loss": 0.8100489377975464,
|
| 871 |
+
"eval_runtime": 8.8831,
|
| 872 |
+
"eval_samples_per_second": 7.092,
|
| 873 |
+
"eval_steps_per_second": 1.801,
|
| 874 |
+
"eval_wer": 0.38380430198228593,
|
| 875 |
+
"step": 1015
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"epoch": 29.14,
|
| 879 |
+
"learning_rate": 0.0002148414985590778,
|
| 880 |
+
"loss": 0.4895,
|
| 881 |
+
"step": 1020
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"epoch": 29.43,
|
| 885 |
+
"learning_rate": 0.00021397694524495674,
|
| 886 |
+
"loss": 0.4331,
|
| 887 |
+
"step": 1030
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 29.71,
|
| 891 |
+
"learning_rate": 0.00021311239193083572,
|
| 892 |
+
"loss": 0.5435,
|
| 893 |
+
"step": 1040
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 29.99,
|
| 897 |
+
"learning_rate": 0.00021224783861671466,
|
| 898 |
+
"loss": 0.4827,
|
| 899 |
+
"step": 1050
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 29.99,
|
| 903 |
+
"eval_loss": 0.7246588468551636,
|
| 904 |
+
"eval_runtime": 8.886,
|
| 905 |
+
"eval_samples_per_second": 7.09,
|
| 906 |
+
"eval_steps_per_second": 1.801,
|
| 907 |
+
"eval_wer": 0.38633487979755377,
|
| 908 |
+
"step": 1050
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 30.28,
|
| 912 |
+
"learning_rate": 0.00021138328530259366,
|
| 913 |
+
"loss": 0.4931,
|
| 914 |
+
"step": 1060
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 30.57,
|
| 918 |
+
"learning_rate": 0.0002105187319884726,
|
| 919 |
+
"loss": 0.5082,
|
| 920 |
+
"step": 1070
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 30.85,
|
| 924 |
+
"learning_rate": 0.00020965417867435158,
|
| 925 |
+
"loss": 0.4839,
|
| 926 |
+
"step": 1080
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 30.99,
|
| 930 |
+
"eval_loss": 0.700883150100708,
|
| 931 |
+
"eval_runtime": 8.8179,
|
| 932 |
+
"eval_samples_per_second": 7.145,
|
| 933 |
+
"eval_steps_per_second": 1.814,
|
| 934 |
+
"eval_wer": 0.3816954871362294,
|
| 935 |
+
"step": 1085
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 31.14,
|
| 939 |
+
"learning_rate": 0.00020878962536023053,
|
| 940 |
+
"loss": 0.6065,
|
| 941 |
+
"step": 1090
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 31.43,
|
| 945 |
+
"learning_rate": 0.00020792507204610947,
|
| 946 |
+
"loss": 0.6116,
|
| 947 |
+
"step": 1100
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 31.71,
|
| 951 |
+
"learning_rate": 0.00020706051873198845,
|
| 952 |
+
"loss": 0.494,
|
| 953 |
+
"step": 1110
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 31.99,
|
| 957 |
+
"learning_rate": 0.0002061959654178674,
|
| 958 |
+
"loss": 0.4982,
|
| 959 |
+
"step": 1120
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 31.99,
|
| 963 |
+
"eval_loss": 0.7636587023735046,
|
| 964 |
+
"eval_runtime": 8.8569,
|
| 965 |
+
"eval_samples_per_second": 7.113,
|
| 966 |
+
"eval_steps_per_second": 1.806,
|
| 967 |
+
"eval_wer": 0.39139603542808943,
|
| 968 |
+
"step": 1120
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 32.28,
|
| 972 |
+
"learning_rate": 0.0002053314121037464,
|
| 973 |
+
"loss": 0.5046,
|
| 974 |
+
"step": 1130
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 32.57,
|
| 978 |
+
"learning_rate": 0.00020446685878962534,
|
| 979 |
+
"loss": 0.5496,
|
| 980 |
+
"step": 1140
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 32.85,
|
| 984 |
+
"learning_rate": 0.00020360230547550431,
|
| 985 |
+
"loss": 0.6105,
|
| 986 |
+
"step": 1150
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 32.99,
|
| 990 |
+
"eval_loss": 0.7342580556869507,
|
| 991 |
+
"eval_runtime": 8.8973,
|
| 992 |
+
"eval_samples_per_second": 7.081,
|
| 993 |
+
"eval_steps_per_second": 1.798,
|
| 994 |
+
"eval_wer": 0.39139603542808943,
|
| 995 |
+
"step": 1155
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 33.14,
|
| 999 |
+
"learning_rate": 0.00020273775216138326,
|
| 1000 |
+
"loss": 0.4872,
|
| 1001 |
+
"step": 1160
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 33.43,
|
| 1005 |
+
"learning_rate": 0.00020187319884726223,
|
| 1006 |
+
"loss": 0.4502,
|
| 1007 |
+
"step": 1170
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 33.71,
|
| 1011 |
+
"learning_rate": 0.00020100864553314118,
|
| 1012 |
+
"loss": 0.7582,
|
| 1013 |
+
"step": 1180
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 33.99,
|
| 1017 |
+
"learning_rate": 0.00020014409221902018,
|
| 1018 |
+
"loss": 0.4936,
|
| 1019 |
+
"step": 1190
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 33.99,
|
| 1023 |
+
"eval_loss": 0.7389687299728394,
|
| 1024 |
+
"eval_runtime": 8.8292,
|
| 1025 |
+
"eval_samples_per_second": 7.135,
|
| 1026 |
+
"eval_steps_per_second": 1.812,
|
| 1027 |
+
"eval_wer": 0.3762125685364825,
|
| 1028 |
+
"step": 1190
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 34.28,
|
| 1032 |
+
"learning_rate": 0.00019927953890489913,
|
| 1033 |
+
"loss": 0.4426,
|
| 1034 |
+
"step": 1200
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 34.57,
|
| 1038 |
+
"learning_rate": 0.0001984149855907781,
|
| 1039 |
+
"loss": 0.5449,
|
| 1040 |
+
"step": 1210
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 34.85,
|
| 1044 |
+
"learning_rate": 0.00019755043227665705,
|
| 1045 |
+
"loss": 0.4674,
|
| 1046 |
+
"step": 1220
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 34.99,
|
| 1050 |
+
"eval_loss": 0.6723992228507996,
|
| 1051 |
+
"eval_runtime": 8.875,
|
| 1052 |
+
"eval_samples_per_second": 7.099,
|
| 1053 |
+
"eval_steps_per_second": 1.803,
|
| 1054 |
+
"eval_wer": 0.35807676086039647,
|
| 1055 |
+
"step": 1225
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 35.14,
|
| 1059 |
+
"learning_rate": 0.000196685878962536,
|
| 1060 |
+
"loss": 0.4659,
|
| 1061 |
+
"step": 1230
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 35.43,
|
| 1065 |
+
"learning_rate": 0.00019582132564841497,
|
| 1066 |
+
"loss": 0.5037,
|
| 1067 |
+
"step": 1240
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 35.71,
|
| 1071 |
+
"learning_rate": 0.0001949567723342939,
|
| 1072 |
+
"loss": 0.4473,
|
| 1073 |
+
"step": 1250
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 35.99,
|
| 1077 |
+
"learning_rate": 0.0001940922190201729,
|
| 1078 |
+
"loss": 0.4677,
|
| 1079 |
+
"step": 1260
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 35.99,
|
| 1083 |
+
"eval_loss": 0.6729607582092285,
|
| 1084 |
+
"eval_runtime": 9.0573,
|
| 1085 |
+
"eval_samples_per_second": 6.956,
|
| 1086 |
+
"eval_steps_per_second": 1.767,
|
| 1087 |
+
"eval_wer": 0.3487979755377478,
|
| 1088 |
+
"step": 1260
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 36.28,
|
| 1092 |
+
"learning_rate": 0.00019322766570605186,
|
| 1093 |
+
"loss": 0.4732,
|
| 1094 |
+
"step": 1270
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 36.57,
|
| 1098 |
+
"learning_rate": 0.00019236311239193083,
|
| 1099 |
+
"loss": 0.3948,
|
| 1100 |
+
"step": 1280
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 36.85,
|
| 1104 |
+
"learning_rate": 0.00019149855907780978,
|
| 1105 |
+
"loss": 0.516,
|
| 1106 |
+
"step": 1290
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 36.99,
|
| 1110 |
+
"eval_loss": 0.6956349611282349,
|
| 1111 |
+
"eval_runtime": 8.8175,
|
| 1112 |
+
"eval_samples_per_second": 7.145,
|
| 1113 |
+
"eval_steps_per_second": 1.815,
|
| 1114 |
+
"eval_wer": 0.3728384647827921,
|
| 1115 |
+
"step": 1295
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 37.14,
|
| 1119 |
+
"learning_rate": 0.00019063400576368875,
|
| 1120 |
+
"loss": 0.4974,
|
| 1121 |
+
"step": 1300
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 37.43,
|
| 1125 |
+
"learning_rate": 0.0001897694524495677,
|
| 1126 |
+
"loss": 0.4605,
|
| 1127 |
+
"step": 1310
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 37.71,
|
| 1131 |
+
"learning_rate": 0.00018890489913544667,
|
| 1132 |
+
"loss": 0.5494,
|
| 1133 |
+
"step": 1320
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 37.99,
|
| 1137 |
+
"learning_rate": 0.00018804034582132565,
|
| 1138 |
+
"loss": 0.4507,
|
| 1139 |
+
"step": 1330
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 37.99,
|
| 1143 |
+
"eval_loss": 0.6482787132263184,
|
| 1144 |
+
"eval_runtime": 8.8046,
|
| 1145 |
+
"eval_samples_per_second": 7.155,
|
| 1146 |
+
"eval_steps_per_second": 1.817,
|
| 1147 |
+
"eval_wer": 0.3614508646140869,
|
| 1148 |
+
"step": 1330
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 38.28,
|
| 1152 |
+
"learning_rate": 0.0001871757925072046,
|
| 1153 |
+
"loss": 0.4868,
|
| 1154 |
+
"step": 1340
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 38.57,
|
| 1158 |
+
"learning_rate": 0.00018631123919308357,
|
| 1159 |
+
"loss": 0.3934,
|
| 1160 |
+
"step": 1350
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 38.85,
|
| 1164 |
+
"learning_rate": 0.0001854466858789625,
|
| 1165 |
+
"loss": 0.4207,
|
| 1166 |
+
"step": 1360
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 38.99,
|
| 1170 |
+
"eval_loss": 0.7718012928962708,
|
| 1171 |
+
"eval_runtime": 8.854,
|
| 1172 |
+
"eval_samples_per_second": 7.115,
|
| 1173 |
+
"eval_steps_per_second": 1.807,
|
| 1174 |
+
"eval_wer": 0.34837621256853646,
|
| 1175 |
+
"step": 1365
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 39.14,
|
| 1179 |
+
"learning_rate": 0.00018458213256484148,
|
| 1180 |
+
"loss": 0.4837,
|
| 1181 |
+
"step": 1370
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 39.43,
|
| 1185 |
+
"learning_rate": 0.00018371757925072043,
|
| 1186 |
+
"loss": 0.4663,
|
| 1187 |
+
"step": 1380
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 39.71,
|
| 1191 |
+
"learning_rate": 0.0001828530259365994,
|
| 1192 |
+
"loss": 0.4572,
|
| 1193 |
+
"step": 1390
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 39.99,
|
| 1197 |
+
"learning_rate": 0.00018198847262247838,
|
| 1198 |
+
"loss": 0.4803,
|
| 1199 |
+
"step": 1400
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 39.99,
|
| 1203 |
+
"eval_loss": 0.831644594669342,
|
| 1204 |
+
"eval_runtime": 8.7883,
|
| 1205 |
+
"eval_samples_per_second": 7.169,
|
| 1206 |
+
"eval_steps_per_second": 1.821,
|
| 1207 |
+
"eval_wer": 0.3774778574441164,
|
| 1208 |
+
"step": 1400
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 40.28,
|
| 1212 |
+
"learning_rate": 0.00018112391930835735,
|
| 1213 |
+
"loss": 0.5059,
|
| 1214 |
+
"step": 1410
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 40.57,
|
| 1218 |
+
"learning_rate": 0.0001802593659942363,
|
| 1219 |
+
"loss": 0.4758,
|
| 1220 |
+
"step": 1420
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 40.85,
|
| 1224 |
+
"learning_rate": 0.00017939481268011527,
|
| 1225 |
+
"loss": 0.3946,
|
| 1226 |
+
"step": 1430
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 40.99,
|
| 1230 |
+
"eval_loss": 0.8322010636329651,
|
| 1231 |
+
"eval_runtime": 8.8486,
|
| 1232 |
+
"eval_samples_per_second": 7.12,
|
| 1233 |
+
"eval_steps_per_second": 1.808,
|
| 1234 |
+
"eval_wer": 0.3568114719527625,
|
| 1235 |
+
"step": 1435
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 41.14,
|
| 1239 |
+
"learning_rate": 0.00017853025936599422,
|
| 1240 |
+
"loss": 0.4533,
|
| 1241 |
+
"step": 1440
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 41.43,
|
| 1245 |
+
"learning_rate": 0.00017766570605187316,
|
| 1246 |
+
"loss": 0.4331,
|
| 1247 |
+
"step": 1450
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 41.71,
|
| 1251 |
+
"learning_rate": 0.00017680115273775214,
|
| 1252 |
+
"loss": 0.4563,
|
| 1253 |
+
"step": 1460
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 41.99,
|
| 1257 |
+
"learning_rate": 0.0001759365994236311,
|
| 1258 |
+
"loss": 0.411,
|
| 1259 |
+
"step": 1470
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 41.99,
|
| 1263 |
+
"eval_loss": 0.9933066368103027,
|
| 1264 |
+
"eval_runtime": 8.8766,
|
| 1265 |
+
"eval_samples_per_second": 7.097,
|
| 1266 |
+
"eval_steps_per_second": 1.802,
|
| 1267 |
+
"eval_wer": 0.3707296499367356,
|
| 1268 |
+
"step": 1470
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 42.28,
|
| 1272 |
+
"learning_rate": 0.00017507204610951008,
|
| 1273 |
+
"loss": 0.4233,
|
| 1274 |
+
"step": 1480
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 42.57,
|
| 1278 |
+
"learning_rate": 0.00017420749279538903,
|
| 1279 |
+
"loss": 0.4351,
|
| 1280 |
+
"step": 1490
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 42.85,
|
| 1284 |
+
"learning_rate": 0.000173342939481268,
|
| 1285 |
+
"loss": 0.4405,
|
| 1286 |
+
"step": 1500
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 42.99,
|
| 1290 |
+
"eval_loss": 0.8789033889770508,
|
| 1291 |
+
"eval_runtime": 8.9051,
|
| 1292 |
+
"eval_samples_per_second": 7.075,
|
| 1293 |
+
"eval_steps_per_second": 1.797,
|
| 1294 |
+
"eval_wer": 0.3943483762125685,
|
| 1295 |
+
"step": 1505
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 43.14,
|
| 1299 |
+
"learning_rate": 0.00017247838616714695,
|
| 1300 |
+
"loss": 0.4044,
|
| 1301 |
+
"step": 1510
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 43.43,
|
| 1305 |
+
"learning_rate": 0.00017161383285302592,
|
| 1306 |
+
"loss": 0.4411,
|
| 1307 |
+
"step": 1520
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 43.71,
|
| 1311 |
+
"learning_rate": 0.00017074927953890487,
|
| 1312 |
+
"loss": 0.4061,
|
| 1313 |
+
"step": 1530
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 43.99,
|
| 1317 |
+
"learning_rate": 0.00016988472622478387,
|
| 1318 |
+
"loss": 0.5124,
|
| 1319 |
+
"step": 1540
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 43.99,
|
| 1323 |
+
"eval_loss": 0.9030116200447083,
|
| 1324 |
+
"eval_runtime": 8.8171,
|
| 1325 |
+
"eval_samples_per_second": 7.145,
|
| 1326 |
+
"eval_steps_per_second": 1.815,
|
| 1327 |
+
"eval_wer": 0.3707296499367356,
|
| 1328 |
+
"step": 1540
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 44.28,
|
| 1332 |
+
"learning_rate": 0.00016902017291066282,
|
| 1333 |
+
"loss": 0.4745,
|
| 1334 |
+
"step": 1550
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 44.57,
|
| 1338 |
+
"learning_rate": 0.00016815561959654176,
|
| 1339 |
+
"loss": 0.4145,
|
| 1340 |
+
"step": 1560
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 44.85,
|
| 1344 |
+
"learning_rate": 0.00016729106628242074,
|
| 1345 |
+
"loss": 0.5959,
|
| 1346 |
+
"step": 1570
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 44.99,
|
| 1350 |
+
"eval_loss": 0.7809452414512634,
|
| 1351 |
+
"eval_runtime": 8.9655,
|
| 1352 |
+
"eval_samples_per_second": 7.027,
|
| 1353 |
+
"eval_steps_per_second": 1.785,
|
| 1354 |
+
"eval_wer": 0.39477013918177983,
|
| 1355 |
+
"step": 1575
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 45.14,
|
| 1359 |
+
"learning_rate": 0.00016642651296829968,
|
| 1360 |
+
"loss": 0.4527,
|
| 1361 |
+
"step": 1580
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 45.43,
|
| 1365 |
+
"learning_rate": 0.00016556195965417866,
|
| 1366 |
+
"loss": 0.3988,
|
| 1367 |
+
"step": 1590
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 45.71,
|
| 1371 |
+
"learning_rate": 0.0001646974063400576,
|
| 1372 |
+
"loss": 0.4175,
|
| 1373 |
+
"step": 1600
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 45.99,
|
| 1377 |
+
"learning_rate": 0.0001638328530259366,
|
| 1378 |
+
"loss": 0.3841,
|
| 1379 |
+
"step": 1610
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 45.99,
|
| 1383 |
+
"eval_loss": 0.7716331481933594,
|
| 1384 |
+
"eval_runtime": 8.8671,
|
| 1385 |
+
"eval_samples_per_second": 7.105,
|
| 1386 |
+
"eval_steps_per_second": 1.804,
|
| 1387 |
+
"eval_wer": 0.39645719105862504,
|
| 1388 |
+
"step": 1610
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 46.28,
|
| 1392 |
+
"learning_rate": 0.00016296829971181555,
|
| 1393 |
+
"loss": 0.4015,
|
| 1394 |
+
"step": 1620
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 46.57,
|
| 1398 |
+
"learning_rate": 0.00016210374639769452,
|
| 1399 |
+
"loss": 0.453,
|
| 1400 |
+
"step": 1630
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 46.85,
|
| 1404 |
+
"learning_rate": 0.00016123919308357347,
|
| 1405 |
+
"loss": 0.3975,
|
| 1406 |
+
"step": 1640
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 46.99,
|
| 1410 |
+
"eval_loss": 0.7064468860626221,
|
| 1411 |
+
"eval_runtime": 8.9124,
|
| 1412 |
+
"eval_samples_per_second": 7.069,
|
| 1413 |
+
"eval_steps_per_second": 1.795,
|
| 1414 |
+
"eval_wer": 0.39308308730493463,
|
| 1415 |
+
"step": 1645
|
| 1416 |
+
},
|
| 1417 |
+
{
|
| 1418 |
+
"epoch": 47.14,
|
| 1419 |
+
"learning_rate": 0.00016037463976945244,
|
| 1420 |
+
"loss": 0.5041,
|
| 1421 |
+
"step": 1650
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 47.43,
|
| 1425 |
+
"learning_rate": 0.0001595100864553314,
|
| 1426 |
+
"loss": 0.4389,
|
| 1427 |
+
"step": 1660
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 47.71,
|
| 1431 |
+
"learning_rate": 0.00015873198847262245,
|
| 1432 |
+
"loss": 1.7618,
|
| 1433 |
+
"step": 1670
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 47.99,
|
| 1437 |
+
"learning_rate": 0.00015786743515850142,
|
| 1438 |
+
"loss": 1.4983,
|
| 1439 |
+
"step": 1680
|
| 1440 |
+
},
|
| 1441 |
+
{
|
| 1442 |
+
"epoch": 47.99,
|
| 1443 |
+
"eval_loss": 3.286560297012329,
|
| 1444 |
+
"eval_runtime": 8.8248,
|
| 1445 |
+
"eval_samples_per_second": 7.139,
|
| 1446 |
+
"eval_steps_per_second": 1.813,
|
| 1447 |
+
"eval_wer": 0.3627161535217208,
|
| 1448 |
+
"step": 1680
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 48.28,
|
| 1452 |
+
"learning_rate": 0.00015700288184438037,
|
| 1453 |
+
"loss": 0.6489,
|
| 1454 |
+
"step": 1690
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 48.57,
|
| 1458 |
+
"learning_rate": 0.00015613832853025937,
|
| 1459 |
+
"loss": 0.4141,
|
| 1460 |
+
"step": 1700
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 48.85,
|
| 1464 |
+
"learning_rate": 0.00015527377521613831,
|
| 1465 |
+
"loss": 0.3962,
|
| 1466 |
+
"step": 1710
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 48.99,
|
| 1470 |
+
"eval_loss": 0.6486034989356995,
|
| 1471 |
+
"eval_runtime": 8.9267,
|
| 1472 |
+
"eval_samples_per_second": 7.057,
|
| 1473 |
+
"eval_steps_per_second": 1.792,
|
| 1474 |
+
"eval_wer": 0.36482496836777734,
|
| 1475 |
+
"step": 1715
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 49.14,
|
| 1479 |
+
"learning_rate": 0.0001544092219020173,
|
| 1480 |
+
"loss": 0.4294,
|
| 1481 |
+
"step": 1720
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 49.43,
|
| 1485 |
+
"learning_rate": 0.00015354466858789623,
|
| 1486 |
+
"loss": 0.3977,
|
| 1487 |
+
"step": 1730
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 49.71,
|
| 1491 |
+
"learning_rate": 0.0001526801152737752,
|
| 1492 |
+
"loss": 0.398,
|
| 1493 |
+
"step": 1740
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 49.99,
|
| 1497 |
+
"learning_rate": 0.00015181556195965415,
|
| 1498 |
+
"loss": 0.4422,
|
| 1499 |
+
"step": 1750
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 49.99,
|
| 1503 |
+
"eval_loss": 0.8449748158454895,
|
| 1504 |
+
"eval_runtime": 8.8924,
|
| 1505 |
+
"eval_samples_per_second": 7.085,
|
| 1506 |
+
"eval_steps_per_second": 1.799,
|
| 1507 |
+
"eval_wer": 0.3778996204133277,
|
| 1508 |
+
"step": 1750
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 50.28,
|
| 1512 |
+
"learning_rate": 0.0001509510086455331,
|
| 1513 |
+
"loss": 0.4246,
|
| 1514 |
+
"step": 1760
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 50.57,
|
| 1518 |
+
"learning_rate": 0.0001500864553314121,
|
| 1519 |
+
"loss": 0.4109,
|
| 1520 |
+
"step": 1770
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 50.85,
|
| 1524 |
+
"learning_rate": 0.00014922190201729105,
|
| 1525 |
+
"loss": 0.4198,
|
| 1526 |
+
"step": 1780
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 50.99,
|
| 1530 |
+
"eval_loss": 0.7628262639045715,
|
| 1531 |
+
"eval_runtime": 8.8995,
|
| 1532 |
+
"eval_samples_per_second": 7.079,
|
| 1533 |
+
"eval_steps_per_second": 1.798,
|
| 1534 |
+
"eval_wer": 0.35638970898355127,
|
| 1535 |
+
"step": 1785
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 51.14,
|
| 1539 |
+
"learning_rate": 0.00014835734870317002,
|
| 1540 |
+
"loss": 0.5414,
|
| 1541 |
+
"step": 1790
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 51.43,
|
| 1545 |
+
"learning_rate": 0.000147492795389049,
|
| 1546 |
+
"loss": 0.4775,
|
| 1547 |
+
"step": 1800
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 51.71,
|
| 1551 |
+
"learning_rate": 0.00014662824207492794,
|
| 1552 |
+
"loss": 0.3867,
|
| 1553 |
+
"step": 1810
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 51.99,
|
| 1557 |
+
"learning_rate": 0.00014576368876080689,
|
| 1558 |
+
"loss": 0.3577,
|
| 1559 |
+
"step": 1820
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 51.99,
|
| 1563 |
+
"eval_loss": 0.7552944421768188,
|
| 1564 |
+
"eval_runtime": 8.8794,
|
| 1565 |
+
"eval_samples_per_second": 7.095,
|
| 1566 |
+
"eval_steps_per_second": 1.802,
|
| 1567 |
+
"eval_wer": 0.3677773091522564,
|
| 1568 |
+
"step": 1820
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 52.28,
|
| 1572 |
+
"learning_rate": 0.00014489913544668586,
|
| 1573 |
+
"loss": 0.4055,
|
| 1574 |
+
"step": 1830
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 52.57,
|
| 1578 |
+
"learning_rate": 0.00014403458213256483,
|
| 1579 |
+
"loss": 0.3304,
|
| 1580 |
+
"step": 1840
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 52.85,
|
| 1584 |
+
"learning_rate": 0.00014317002881844378,
|
| 1585 |
+
"loss": 0.4425,
|
| 1586 |
+
"step": 1850
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 52.99,
|
| 1590 |
+
"eval_loss": 0.7565546631813049,
|
| 1591 |
+
"eval_runtime": 8.899,
|
| 1592 |
+
"eval_samples_per_second": 7.079,
|
| 1593 |
+
"eval_steps_per_second": 1.798,
|
| 1594 |
+
"eval_wer": 0.37157317587515815,
|
| 1595 |
+
"step": 1855
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 53.14,
|
| 1599 |
+
"learning_rate": 0.00014230547550432275,
|
| 1600 |
+
"loss": 0.3659,
|
| 1601 |
+
"step": 1860
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 53.43,
|
| 1605 |
+
"learning_rate": 0.00014144092219020173,
|
| 1606 |
+
"loss": 0.3904,
|
| 1607 |
+
"step": 1870
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 53.71,
|
| 1611 |
+
"learning_rate": 0.00014057636887608067,
|
| 1612 |
+
"loss": 0.3905,
|
| 1613 |
+
"step": 1880
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 53.99,
|
| 1617 |
+
"learning_rate": 0.00013971181556195965,
|
| 1618 |
+
"loss": 0.3492,
|
| 1619 |
+
"step": 1890
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 53.99,
|
| 1623 |
+
"eval_loss": 0.7709900736808777,
|
| 1624 |
+
"eval_runtime": 8.8285,
|
| 1625 |
+
"eval_samples_per_second": 7.136,
|
| 1626 |
+
"eval_steps_per_second": 1.812,
|
| 1627 |
+
"eval_wer": 0.3631379164909321,
|
| 1628 |
+
"step": 1890
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 54.28,
|
| 1632 |
+
"learning_rate": 0.00013884726224783862,
|
| 1633 |
+
"loss": 0.4355,
|
| 1634 |
+
"step": 1900
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 54.57,
|
| 1638 |
+
"learning_rate": 0.00013798270893371757,
|
| 1639 |
+
"loss": 0.3472,
|
| 1640 |
+
"step": 1910
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 54.85,
|
| 1644 |
+
"learning_rate": 0.00013711815561959654,
|
| 1645 |
+
"loss": 0.3731,
|
| 1646 |
+
"step": 1920
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 54.99,
|
| 1650 |
+
"eval_loss": 0.7737426161766052,
|
| 1651 |
+
"eval_runtime": 8.9423,
|
| 1652 |
+
"eval_samples_per_second": 7.045,
|
| 1653 |
+
"eval_steps_per_second": 1.789,
|
| 1654 |
+
"eval_wer": 0.3627161535217208,
|
| 1655 |
+
"step": 1925
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 55.14,
|
| 1659 |
+
"learning_rate": 0.00013625360230547548,
|
| 1660 |
+
"loss": 0.3994,
|
| 1661 |
+
"step": 1930
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 55.43,
|
| 1665 |
+
"learning_rate": 0.00013538904899135446,
|
| 1666 |
+
"loss": 0.41,
|
| 1667 |
+
"step": 1940
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 55.71,
|
| 1671 |
+
"learning_rate": 0.0001345244956772334,
|
| 1672 |
+
"loss": 0.3445,
|
| 1673 |
+
"step": 1950
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 55.99,
|
| 1677 |
+
"learning_rate": 0.00013365994236311238,
|
| 1678 |
+
"loss": 0.3868,
|
| 1679 |
+
"step": 1960
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 55.99,
|
| 1683 |
+
"eval_loss": 0.7020638585090637,
|
| 1684 |
+
"eval_runtime": 8.7931,
|
| 1685 |
+
"eval_samples_per_second": 7.165,
|
| 1686 |
+
"eval_steps_per_second": 1.82,
|
| 1687 |
+
"eval_wer": 0.35723323492197384,
|
| 1688 |
+
"step": 1960
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 56.28,
|
| 1692 |
+
"learning_rate": 0.00013279538904899135,
|
| 1693 |
+
"loss": 0.5803,
|
| 1694 |
+
"step": 1970
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 56.57,
|
| 1698 |
+
"learning_rate": 0.0001319308357348703,
|
| 1699 |
+
"loss": 0.4467,
|
| 1700 |
+
"step": 1980
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 56.85,
|
| 1704 |
+
"learning_rate": 0.00013106628242074927,
|
| 1705 |
+
"loss": 0.3311,
|
| 1706 |
+
"step": 1990
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 56.99,
|
| 1710 |
+
"eval_loss": 0.6602898240089417,
|
| 1711 |
+
"eval_runtime": 8.8334,
|
| 1712 |
+
"eval_samples_per_second": 7.132,
|
| 1713 |
+
"eval_steps_per_second": 1.811,
|
| 1714 |
+
"eval_wer": 0.3517503163222269,
|
| 1715 |
+
"step": 1995
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 57.14,
|
| 1719 |
+
"learning_rate": 0.00013020172910662824,
|
| 1720 |
+
"loss": 0.3973,
|
| 1721 |
+
"step": 2000
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 57.43,
|
| 1725 |
+
"learning_rate": 0.0001293371757925072,
|
| 1726 |
+
"loss": 0.3832,
|
| 1727 |
+
"step": 2010
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 57.71,
|
| 1731 |
+
"learning_rate": 0.00012847262247838616,
|
| 1732 |
+
"loss": 0.3418,
|
| 1733 |
+
"step": 2020
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 57.99,
|
| 1737 |
+
"learning_rate": 0.00012760806916426514,
|
| 1738 |
+
"loss": 0.3993,
|
| 1739 |
+
"step": 2030
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 57.99,
|
| 1743 |
+
"eval_loss": 0.666448712348938,
|
| 1744 |
+
"eval_runtime": 8.8405,
|
| 1745 |
+
"eval_samples_per_second": 7.126,
|
| 1746 |
+
"eval_steps_per_second": 1.81,
|
| 1747 |
+
"eval_wer": 0.35807676086039647,
|
| 1748 |
+
"step": 2030
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 58.28,
|
| 1752 |
+
"learning_rate": 0.00012674351585014408,
|
| 1753 |
+
"loss": 0.3879,
|
| 1754 |
+
"step": 2040
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 58.57,
|
| 1758 |
+
"learning_rate": 0.00012587896253602303,
|
| 1759 |
+
"loss": 0.3436,
|
| 1760 |
+
"step": 2050
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 58.85,
|
| 1764 |
+
"learning_rate": 0.000125014409221902,
|
| 1765 |
+
"loss": 0.4226,
|
| 1766 |
+
"step": 2060
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 58.99,
|
| 1770 |
+
"eval_loss": 0.6813275814056396,
|
| 1771 |
+
"eval_runtime": 8.8439,
|
| 1772 |
+
"eval_samples_per_second": 7.124,
|
| 1773 |
+
"eval_steps_per_second": 1.809,
|
| 1774 |
+
"eval_wer": 0.3551244200759173,
|
| 1775 |
+
"step": 2065
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 59.14,
|
| 1779 |
+
"learning_rate": 0.00012414985590778098,
|
| 1780 |
+
"loss": 0.4158,
|
| 1781 |
+
"step": 2070
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 59.43,
|
| 1785 |
+
"learning_rate": 0.00012328530259365992,
|
| 1786 |
+
"loss": 0.3934,
|
| 1787 |
+
"step": 2080
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 59.71,
|
| 1791 |
+
"learning_rate": 0.0001224207492795389,
|
| 1792 |
+
"loss": 0.3911,
|
| 1793 |
+
"step": 2090
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 59.99,
|
| 1797 |
+
"learning_rate": 0.00012155619596541786,
|
| 1798 |
+
"loss": 0.4143,
|
| 1799 |
+
"step": 2100
|
| 1800 |
+
},
|
| 1801 |
+
{
|
| 1802 |
+
"epoch": 59.99,
|
| 1803 |
+
"eval_loss": 0.6566696763038635,
|
| 1804 |
+
"eval_runtime": 8.8077,
|
| 1805 |
+
"eval_samples_per_second": 7.153,
|
| 1806 |
+
"eval_steps_per_second": 1.817,
|
| 1807 |
+
"eval_wer": 0.3568114719527625,
|
| 1808 |
+
"step": 2100
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 60.28,
|
| 1812 |
+
"learning_rate": 0.00012069164265129682,
|
| 1813 |
+
"loss": 0.3702,
|
| 1814 |
+
"step": 2110
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 60.57,
|
| 1818 |
+
"learning_rate": 0.00011982708933717579,
|
| 1819 |
+
"loss": 0.3573,
|
| 1820 |
+
"step": 2120
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 60.85,
|
| 1824 |
+
"learning_rate": 0.00011896253602305475,
|
| 1825 |
+
"loss": 0.3623,
|
| 1826 |
+
"step": 2130
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 60.99,
|
| 1830 |
+
"eval_loss": 0.6568236947059631,
|
| 1831 |
+
"eval_runtime": 8.8843,
|
| 1832 |
+
"eval_samples_per_second": 7.091,
|
| 1833 |
+
"eval_steps_per_second": 1.801,
|
| 1834 |
+
"eval_wer": 0.34542387178405737,
|
| 1835 |
+
"step": 2135
|
| 1836 |
+
},
|
| 1837 |
+
{
|
| 1838 |
+
"epoch": 61.14,
|
| 1839 |
+
"learning_rate": 0.00011809798270893371,
|
| 1840 |
+
"loss": 0.3849,
|
| 1841 |
+
"step": 2140
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 61.43,
|
| 1845 |
+
"learning_rate": 0.00011723342939481268,
|
| 1846 |
+
"loss": 0.4037,
|
| 1847 |
+
"step": 2150
|
| 1848 |
+
},
|
| 1849 |
+
{
|
| 1850 |
+
"epoch": 61.71,
|
| 1851 |
+
"learning_rate": 0.00011636887608069163,
|
| 1852 |
+
"loss": 0.405,
|
| 1853 |
+
"step": 2160
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"epoch": 61.99,
|
| 1857 |
+
"learning_rate": 0.00011550432276657059,
|
| 1858 |
+
"loss": 0.3228,
|
| 1859 |
+
"step": 2170
|
| 1860 |
+
},
|
| 1861 |
+
{
|
| 1862 |
+
"epoch": 61.99,
|
| 1863 |
+
"eval_loss": 0.7325943112373352,
|
| 1864 |
+
"eval_runtime": 8.898,
|
| 1865 |
+
"eval_samples_per_second": 7.08,
|
| 1866 |
+
"eval_steps_per_second": 1.798,
|
| 1867 |
+
"eval_wer": 0.3568114719527625,
|
| 1868 |
+
"step": 2170
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 62.28,
|
| 1872 |
+
"learning_rate": 0.00011463976945244955,
|
| 1873 |
+
"loss": 0.363,
|
| 1874 |
+
"step": 2180
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 62.57,
|
| 1878 |
+
"learning_rate": 0.00011377521613832852,
|
| 1879 |
+
"loss": 0.3833,
|
| 1880 |
+
"step": 2190
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 62.85,
|
| 1884 |
+
"learning_rate": 0.00011291066282420748,
|
| 1885 |
+
"loss": 0.3204,
|
| 1886 |
+
"step": 2200
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 62.99,
|
| 1890 |
+
"eval_loss": 0.7277215123176575,
|
| 1891 |
+
"eval_runtime": 8.9735,
|
| 1892 |
+
"eval_samples_per_second": 7.021,
|
| 1893 |
+
"eval_steps_per_second": 1.783,
|
| 1894 |
+
"eval_wer": 0.3639814424293547,
|
| 1895 |
+
"step": 2205
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"epoch": 63.14,
|
| 1899 |
+
"learning_rate": 0.00011204610951008644,
|
| 1900 |
+
"loss": 0.3488,
|
| 1901 |
+
"step": 2210
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 63.43,
|
| 1905 |
+
"learning_rate": 0.00011118155619596542,
|
| 1906 |
+
"loss": 0.3561,
|
| 1907 |
+
"step": 2220
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 63.71,
|
| 1911 |
+
"learning_rate": 0.00011031700288184437,
|
| 1912 |
+
"loss": 0.376,
|
| 1913 |
+
"step": 2230
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 63.99,
|
| 1917 |
+
"learning_rate": 0.00010945244956772333,
|
| 1918 |
+
"loss": 0.377,
|
| 1919 |
+
"step": 2240
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 63.99,
|
| 1923 |
+
"eval_loss": 0.7144931554794312,
|
| 1924 |
+
"eval_runtime": 8.9061,
|
| 1925 |
+
"eval_samples_per_second": 7.074,
|
| 1926 |
+
"eval_steps_per_second": 1.797,
|
| 1927 |
+
"eval_wer": 0.3584985238296078,
|
| 1928 |
+
"step": 2240
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 64.28,
|
| 1932 |
+
"learning_rate": 0.00010858789625360231,
|
| 1933 |
+
"loss": 0.3267,
|
| 1934 |
+
"step": 2250
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 64.57,
|
| 1938 |
+
"learning_rate": 0.00010772334293948127,
|
| 1939 |
+
"loss": 0.4145,
|
| 1940 |
+
"step": 2260
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 64.85,
|
| 1944 |
+
"learning_rate": 0.00010685878962536021,
|
| 1945 |
+
"loss": 0.3487,
|
| 1946 |
+
"step": 2270
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 64.99,
|
| 1950 |
+
"eval_loss": 0.6943061351776123,
|
| 1951 |
+
"eval_runtime": 8.8303,
|
| 1952 |
+
"eval_samples_per_second": 7.134,
|
| 1953 |
+
"eval_steps_per_second": 1.812,
|
| 1954 |
+
"eval_wer": 0.350485027414593,
|
| 1955 |
+
"step": 2275
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 65.14,
|
| 1959 |
+
"learning_rate": 0.00010599423631123917,
|
| 1960 |
+
"loss": 0.3827,
|
| 1961 |
+
"step": 2280
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 65.43,
|
| 1965 |
+
"learning_rate": 0.00010512968299711815,
|
| 1966 |
+
"loss": 0.3328,
|
| 1967 |
+
"step": 2290
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 65.71,
|
| 1971 |
+
"learning_rate": 0.00010426512968299711,
|
| 1972 |
+
"loss": 0.3904,
|
| 1973 |
+
"step": 2300
|
| 1974 |
+
},
|
| 1975 |
+
{
|
| 1976 |
+
"epoch": 65.99,
|
| 1977 |
+
"learning_rate": 0.00010340057636887607,
|
| 1978 |
+
"loss": 0.343,
|
| 1979 |
+
"step": 2310
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"epoch": 65.99,
|
| 1983 |
+
"eval_loss": 0.74614018201828,
|
| 1984 |
+
"eval_runtime": 8.7684,
|
| 1985 |
+
"eval_samples_per_second": 7.185,
|
| 1986 |
+
"eval_steps_per_second": 1.825,
|
| 1987 |
+
"eval_wer": 0.33951919021509913,
|
| 1988 |
+
"step": 2310
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 66.28,
|
| 1992 |
+
"learning_rate": 0.00010253602305475504,
|
| 1993 |
+
"loss": 0.336,
|
| 1994 |
+
"step": 2320
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 66.57,
|
| 1998 |
+
"learning_rate": 0.000101671469740634,
|
| 1999 |
+
"loss": 0.3663,
|
| 2000 |
+
"step": 2330
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 66.85,
|
| 2004 |
+
"learning_rate": 0.00010080691642651296,
|
| 2005 |
+
"loss": 0.3251,
|
| 2006 |
+
"step": 2340
|
| 2007 |
+
},
|
| 2008 |
+
{
|
| 2009 |
+
"epoch": 66.99,
|
| 2010 |
+
"eval_loss": 0.7441524863243103,
|
| 2011 |
+
"eval_runtime": 8.8232,
|
| 2012 |
+
"eval_samples_per_second": 7.14,
|
| 2013 |
+
"eval_steps_per_second": 1.813,
|
| 2014 |
+
"eval_wer": 0.35638970898355127,
|
| 2015 |
+
"step": 2345
|
| 2016 |
+
},
|
| 2017 |
+
{
|
| 2018 |
+
"epoch": 67.14,
|
| 2019 |
+
"learning_rate": 9.994236311239192e-05,
|
| 2020 |
+
"loss": 0.3964,
|
| 2021 |
+
"step": 2350
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 67.43,
|
| 2025 |
+
"learning_rate": 9.90778097982709e-05,
|
| 2026 |
+
"loss": 0.3658,
|
| 2027 |
+
"step": 2360
|
| 2028 |
+
},
|
| 2029 |
+
{
|
| 2030 |
+
"epoch": 67.71,
|
| 2031 |
+
"learning_rate": 9.821325648414985e-05,
|
| 2032 |
+
"loss": 0.3515,
|
| 2033 |
+
"step": 2370
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 67.99,
|
| 2037 |
+
"learning_rate": 9.73487031700288e-05,
|
| 2038 |
+
"loss": 0.3135,
|
| 2039 |
+
"step": 2380
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 67.99,
|
| 2043 |
+
"eval_loss": 0.7330945134162903,
|
| 2044 |
+
"eval_runtime": 8.8098,
|
| 2045 |
+
"eval_samples_per_second": 7.151,
|
| 2046 |
+
"eval_steps_per_second": 1.816,
|
| 2047 |
+
"eval_wer": 0.3530156052298608,
|
| 2048 |
+
"step": 2380
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 68.28,
|
| 2052 |
+
"learning_rate": 9.648414985590777e-05,
|
| 2053 |
+
"loss": 0.345,
|
| 2054 |
+
"step": 2390
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 68.57,
|
| 2058 |
+
"learning_rate": 9.561959654178673e-05,
|
| 2059 |
+
"loss": 0.3349,
|
| 2060 |
+
"step": 2400
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 68.85,
|
| 2064 |
+
"learning_rate": 9.475504322766569e-05,
|
| 2065 |
+
"loss": 0.381,
|
| 2066 |
+
"step": 2410
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 68.99,
|
| 2070 |
+
"eval_loss": 0.7306443452835083,
|
| 2071 |
+
"eval_runtime": 8.8012,
|
| 2072 |
+
"eval_samples_per_second": 7.158,
|
| 2073 |
+
"eval_steps_per_second": 1.818,
|
| 2074 |
+
"eval_wer": 0.3513285533530156,
|
| 2075 |
+
"step": 2415
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 69.14,
|
| 2079 |
+
"learning_rate": 9.389048991354465e-05,
|
| 2080 |
+
"loss": 0.3782,
|
| 2081 |
+
"step": 2420
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 69.43,
|
| 2085 |
+
"learning_rate": 9.302593659942363e-05,
|
| 2086 |
+
"loss": 0.3198,
|
| 2087 |
+
"step": 2430
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 69.71,
|
| 2091 |
+
"learning_rate": 9.216138328530259e-05,
|
| 2092 |
+
"loss": 0.3742,
|
| 2093 |
+
"step": 2440
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 69.99,
|
| 2097 |
+
"learning_rate": 9.129682997118155e-05,
|
| 2098 |
+
"loss": 0.3319,
|
| 2099 |
+
"step": 2450
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 69.99,
|
| 2103 |
+
"eval_loss": 0.8494887948036194,
|
| 2104 |
+
"eval_runtime": 8.8477,
|
| 2105 |
+
"eval_samples_per_second": 7.12,
|
| 2106 |
+
"eval_steps_per_second": 1.808,
|
| 2107 |
+
"eval_wer": 0.34837621256853646,
|
| 2108 |
+
"step": 2450
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 70.28,
|
| 2112 |
+
"learning_rate": 9.043227665706052e-05,
|
| 2113 |
+
"loss": 0.3632,
|
| 2114 |
+
"step": 2460
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 70.57,
|
| 2118 |
+
"learning_rate": 8.956772334293948e-05,
|
| 2119 |
+
"loss": 0.2967,
|
| 2120 |
+
"step": 2470
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 70.85,
|
| 2124 |
+
"learning_rate": 8.870317002881844e-05,
|
| 2125 |
+
"loss": 0.3552,
|
| 2126 |
+
"step": 2480
|
| 2127 |
+
},
|
| 2128 |
+
{
|
| 2129 |
+
"epoch": 70.99,
|
| 2130 |
+
"eval_loss": 0.7546125054359436,
|
| 2131 |
+
"eval_runtime": 8.821,
|
| 2132 |
+
"eval_samples_per_second": 7.142,
|
| 2133 |
+
"eval_steps_per_second": 1.814,
|
| 2134 |
+
"eval_wer": 0.3551244200759173,
|
| 2135 |
+
"step": 2485
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 71.14,
|
| 2139 |
+
"learning_rate": 8.783861671469738e-05,
|
| 2140 |
+
"loss": 0.3304,
|
| 2141 |
+
"step": 2490
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 71.43,
|
| 2145 |
+
"learning_rate": 8.697406340057636e-05,
|
| 2146 |
+
"loss": 0.3718,
|
| 2147 |
+
"step": 2500
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 71.71,
|
| 2151 |
+
"learning_rate": 8.610951008645532e-05,
|
| 2152 |
+
"loss": 0.3271,
|
| 2153 |
+
"step": 2510
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 71.99,
|
| 2157 |
+
"learning_rate": 8.524495677233428e-05,
|
| 2158 |
+
"loss": 0.3292,
|
| 2159 |
+
"step": 2520
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 71.99,
|
| 2163 |
+
"eval_loss": 0.7483251094818115,
|
| 2164 |
+
"eval_runtime": 8.83,
|
| 2165 |
+
"eval_samples_per_second": 7.135,
|
| 2166 |
+
"eval_steps_per_second": 1.812,
|
| 2167 |
+
"eval_wer": 0.34500210881484605,
|
| 2168 |
+
"step": 2520
|
| 2169 |
+
},
|
| 2170 |
+
{
|
| 2171 |
+
"epoch": 72.28,
|
| 2172 |
+
"learning_rate": 8.438040345821325e-05,
|
| 2173 |
+
"loss": 0.4341,
|
| 2174 |
+
"step": 2530
|
| 2175 |
+
},
|
| 2176 |
+
{
|
| 2177 |
+
"epoch": 72.57,
|
| 2178 |
+
"learning_rate": 8.351585014409221e-05,
|
| 2179 |
+
"loss": 0.3173,
|
| 2180 |
+
"step": 2540
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 72.85,
|
| 2184 |
+
"learning_rate": 8.265129682997117e-05,
|
| 2185 |
+
"loss": 0.3041,
|
| 2186 |
+
"step": 2550
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 72.99,
|
| 2190 |
+
"eval_loss": 0.7304584383964539,
|
| 2191 |
+
"eval_runtime": 8.8882,
|
| 2192 |
+
"eval_samples_per_second": 7.088,
|
| 2193 |
+
"eval_steps_per_second": 1.8,
|
| 2194 |
+
"eval_wer": 0.35217207929143823,
|
| 2195 |
+
"step": 2555
|
| 2196 |
+
},
|
| 2197 |
+
{
|
| 2198 |
+
"epoch": 73.14,
|
| 2199 |
+
"learning_rate": 8.178674351585014e-05,
|
| 2200 |
+
"loss": 0.345,
|
| 2201 |
+
"step": 2560
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 73.43,
|
| 2205 |
+
"learning_rate": 8.09221902017291e-05,
|
| 2206 |
+
"loss": 0.3132,
|
| 2207 |
+
"step": 2570
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 73.71,
|
| 2211 |
+
"learning_rate": 8.005763688760806e-05,
|
| 2212 |
+
"loss": 0.3838,
|
| 2213 |
+
"step": 2580
|
| 2214 |
+
},
|
| 2215 |
+
{
|
| 2216 |
+
"epoch": 73.99,
|
| 2217 |
+
"learning_rate": 7.919308357348704e-05,
|
| 2218 |
+
"loss": 0.3606,
|
| 2219 |
+
"step": 2590
|
| 2220 |
+
},
|
| 2221 |
+
{
|
| 2222 |
+
"epoch": 73.99,
|
| 2223 |
+
"eval_loss": 0.7358484864234924,
|
| 2224 |
+
"eval_runtime": 8.8826,
|
| 2225 |
+
"eval_samples_per_second": 7.093,
|
| 2226 |
+
"eval_steps_per_second": 1.801,
|
| 2227 |
+
"eval_wer": 0.34837621256853646,
|
| 2228 |
+
"step": 2590
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 74.28,
|
| 2232 |
+
"learning_rate": 7.832853025936598e-05,
|
| 2233 |
+
"loss": 0.3354,
|
| 2234 |
+
"step": 2600
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 74.57,
|
| 2238 |
+
"learning_rate": 7.746397694524494e-05,
|
| 2239 |
+
"loss": 0.319,
|
| 2240 |
+
"step": 2610
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 74.85,
|
| 2244 |
+
"learning_rate": 7.65994236311239e-05,
|
| 2245 |
+
"loss": 0.3629,
|
| 2246 |
+
"step": 2620
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 74.99,
|
| 2250 |
+
"eval_loss": 0.7708744406700134,
|
| 2251 |
+
"eval_runtime": 8.8268,
|
| 2252 |
+
"eval_samples_per_second": 7.137,
|
| 2253 |
+
"eval_steps_per_second": 1.813,
|
| 2254 |
+
"eval_wer": 0.34458034584563474,
|
| 2255 |
+
"step": 2625
|
| 2256 |
+
},
|
| 2257 |
+
{
|
| 2258 |
+
"epoch": 75.14,
|
| 2259 |
+
"learning_rate": 7.573487031700288e-05,
|
| 2260 |
+
"loss": 0.3404,
|
| 2261 |
+
"step": 2630
|
| 2262 |
+
},
|
| 2263 |
+
{
|
| 2264 |
+
"epoch": 75.43,
|
| 2265 |
+
"learning_rate": 7.487031700288184e-05,
|
| 2266 |
+
"loss": 0.3678,
|
| 2267 |
+
"step": 2640
|
| 2268 |
+
},
|
| 2269 |
+
{
|
| 2270 |
+
"epoch": 75.71,
|
| 2271 |
+
"learning_rate": 7.40057636887608e-05,
|
| 2272 |
+
"loss": 0.2948,
|
| 2273 |
+
"step": 2650
|
| 2274 |
+
},
|
| 2275 |
+
{
|
| 2276 |
+
"epoch": 75.99,
|
| 2277 |
+
"learning_rate": 7.314121037463977e-05,
|
| 2278 |
+
"loss": 0.3409,
|
| 2279 |
+
"step": 2660
|
| 2280 |
+
},
|
| 2281 |
+
{
|
| 2282 |
+
"epoch": 75.99,
|
| 2283 |
+
"eval_loss": 0.756772518157959,
|
| 2284 |
+
"eval_runtime": 8.8295,
|
| 2285 |
+
"eval_samples_per_second": 7.135,
|
| 2286 |
+
"eval_steps_per_second": 1.812,
|
| 2287 |
+
"eval_wer": 0.3584985238296078,
|
| 2288 |
+
"step": 2660
|
| 2289 |
+
},
|
| 2290 |
+
{
|
| 2291 |
+
"epoch": 76.28,
|
| 2292 |
+
"learning_rate": 7.227665706051873e-05,
|
| 2293 |
+
"loss": 0.3575,
|
| 2294 |
+
"step": 2670
|
| 2295 |
+
},
|
| 2296 |
+
{
|
| 2297 |
+
"epoch": 76.57,
|
| 2298 |
+
"learning_rate": 7.141210374639769e-05,
|
| 2299 |
+
"loss": 0.3195,
|
| 2300 |
+
"step": 2680
|
| 2301 |
+
},
|
| 2302 |
+
{
|
| 2303 |
+
"epoch": 76.85,
|
| 2304 |
+
"learning_rate": 7.054755043227665e-05,
|
| 2305 |
+
"loss": 0.3315,
|
| 2306 |
+
"step": 2690
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 76.99,
|
| 2310 |
+
"eval_loss": 0.7466398477554321,
|
| 2311 |
+
"eval_runtime": 8.8563,
|
| 2312 |
+
"eval_samples_per_second": 7.114,
|
| 2313 |
+
"eval_steps_per_second": 1.807,
|
| 2314 |
+
"eval_wer": 0.3475326866301139,
|
| 2315 |
+
"step": 2695
|
| 2316 |
+
},
|
| 2317 |
+
{
|
| 2318 |
+
"epoch": 77.14,
|
| 2319 |
+
"learning_rate": 6.968299711815561e-05,
|
| 2320 |
+
"loss": 0.334,
|
| 2321 |
+
"step": 2700
|
| 2322 |
+
},
|
| 2323 |
+
{
|
| 2324 |
+
"epoch": 77.43,
|
| 2325 |
+
"learning_rate": 6.881844380403457e-05,
|
| 2326 |
+
"loss": 0.2933,
|
| 2327 |
+
"step": 2710
|
| 2328 |
+
},
|
| 2329 |
+
{
|
| 2330 |
+
"epoch": 77.71,
|
| 2331 |
+
"learning_rate": 6.795389048991354e-05,
|
| 2332 |
+
"loss": 0.399,
|
| 2333 |
+
"step": 2720
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 77.99,
|
| 2337 |
+
"learning_rate": 6.70893371757925e-05,
|
| 2338 |
+
"loss": 0.2934,
|
| 2339 |
+
"step": 2730
|
| 2340 |
+
},
|
| 2341 |
+
{
|
| 2342 |
+
"epoch": 77.99,
|
| 2343 |
+
"eval_loss": 0.7351065874099731,
|
| 2344 |
+
"eval_runtime": 8.8959,
|
| 2345 |
+
"eval_samples_per_second": 7.082,
|
| 2346 |
+
"eval_steps_per_second": 1.799,
|
| 2347 |
+
"eval_wer": 0.3496415014761704,
|
| 2348 |
+
"step": 2730
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 78.28,
|
| 2352 |
+
"learning_rate": 6.622478386167146e-05,
|
| 2353 |
+
"loss": 0.3346,
|
| 2354 |
+
"step": 2740
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 78.57,
|
| 2358 |
+
"learning_rate": 6.536023054755042e-05,
|
| 2359 |
+
"loss": 0.3117,
|
| 2360 |
+
"step": 2750
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"epoch": 78.85,
|
| 2364 |
+
"learning_rate": 6.449567723342938e-05,
|
| 2365 |
+
"loss": 0.3366,
|
| 2366 |
+
"step": 2760
|
| 2367 |
+
},
|
| 2368 |
+
{
|
| 2369 |
+
"epoch": 78.99,
|
| 2370 |
+
"eval_loss": 0.8014491200447083,
|
| 2371 |
+
"eval_runtime": 8.8741,
|
| 2372 |
+
"eval_samples_per_second": 7.099,
|
| 2373 |
+
"eval_steps_per_second": 1.803,
|
| 2374 |
+
"eval_wer": 0.34837621256853646,
|
| 2375 |
+
"step": 2765
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 79.14,
|
| 2379 |
+
"learning_rate": 6.363112391930836e-05,
|
| 2380 |
+
"loss": 0.343,
|
| 2381 |
+
"step": 2770
|
| 2382 |
+
},
|
| 2383 |
+
{
|
| 2384 |
+
"epoch": 79.43,
|
| 2385 |
+
"learning_rate": 6.276657060518732e-05,
|
| 2386 |
+
"loss": 0.3168,
|
| 2387 |
+
"step": 2780
|
| 2388 |
+
},
|
| 2389 |
+
{
|
| 2390 |
+
"epoch": 79.71,
|
| 2391 |
+
"learning_rate": 6.190201729106627e-05,
|
| 2392 |
+
"loss": 0.341,
|
| 2393 |
+
"step": 2790
|
| 2394 |
+
},
|
| 2395 |
+
{
|
| 2396 |
+
"epoch": 79.99,
|
| 2397 |
+
"learning_rate": 6.103746397694523e-05,
|
| 2398 |
+
"loss": 0.3176,
|
| 2399 |
+
"step": 2800
|
| 2400 |
+
},
|
| 2401 |
+
{
|
| 2402 |
+
"epoch": 79.99,
|
| 2403 |
+
"eval_loss": 0.8014456629753113,
|
| 2404 |
+
"eval_runtime": 8.9378,
|
| 2405 |
+
"eval_samples_per_second": 7.049,
|
| 2406 |
+
"eval_steps_per_second": 1.79,
|
| 2407 |
+
"eval_wer": 0.3420497680303669,
|
| 2408 |
+
"step": 2800
|
| 2409 |
+
},
|
| 2410 |
+
{
|
| 2411 |
+
"epoch": 80.28,
|
| 2412 |
+
"learning_rate": 6.01729106628242e-05,
|
| 2413 |
+
"loss": 0.3027,
|
| 2414 |
+
"step": 2810
|
| 2415 |
+
},
|
| 2416 |
+
{
|
| 2417 |
+
"epoch": 80.57,
|
| 2418 |
+
"learning_rate": 5.930835734870316e-05,
|
| 2419 |
+
"loss": 0.3063,
|
| 2420 |
+
"step": 2820
|
| 2421 |
+
},
|
| 2422 |
+
{
|
| 2423 |
+
"epoch": 80.85,
|
| 2424 |
+
"learning_rate": 5.844380403458213e-05,
|
| 2425 |
+
"loss": 0.3319,
|
| 2426 |
+
"step": 2830
|
| 2427 |
+
},
|
| 2428 |
+
{
|
| 2429 |
+
"epoch": 80.99,
|
| 2430 |
+
"eval_loss": 0.799625039100647,
|
| 2431 |
+
"eval_runtime": 8.8579,
|
| 2432 |
+
"eval_samples_per_second": 7.112,
|
| 2433 |
+
"eval_steps_per_second": 1.806,
|
| 2434 |
+
"eval_wer": 0.34373681990721217,
|
| 2435 |
+
"step": 2835
|
| 2436 |
+
},
|
| 2437 |
+
{
|
| 2438 |
+
"epoch": 81.14,
|
| 2439 |
+
"learning_rate": 5.7579250720461094e-05,
|
| 2440 |
+
"loss": 0.3286,
|
| 2441 |
+
"step": 2840
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"epoch": 81.43,
|
| 2445 |
+
"learning_rate": 5.6714697406340054e-05,
|
| 2446 |
+
"loss": 0.3039,
|
| 2447 |
+
"step": 2850
|
| 2448 |
+
},
|
| 2449 |
+
{
|
| 2450 |
+
"epoch": 81.71,
|
| 2451 |
+
"learning_rate": 5.5850144092219014e-05,
|
| 2452 |
+
"loss": 0.3028,
|
| 2453 |
+
"step": 2860
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"epoch": 81.99,
|
| 2457 |
+
"learning_rate": 5.4985590778097974e-05,
|
| 2458 |
+
"loss": 0.2967,
|
| 2459 |
+
"step": 2870
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 81.99,
|
| 2463 |
+
"eval_loss": 0.8156365156173706,
|
| 2464 |
+
"eval_runtime": 8.901,
|
| 2465 |
+
"eval_samples_per_second": 7.078,
|
| 2466 |
+
"eval_steps_per_second": 1.798,
|
| 2467 |
+
"eval_wer": 0.34120624209194433,
|
| 2468 |
+
"step": 2870
|
| 2469 |
+
},
|
| 2470 |
+
{
|
| 2471 |
+
"epoch": 82.28,
|
| 2472 |
+
"learning_rate": 5.412103746397694e-05,
|
| 2473 |
+
"loss": 0.327,
|
| 2474 |
+
"step": 2880
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 82.57,
|
| 2478 |
+
"learning_rate": 5.325648414985591e-05,
|
| 2479 |
+
"loss": 0.2834,
|
| 2480 |
+
"step": 2890
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 82.85,
|
| 2484 |
+
"learning_rate": 5.239193083573487e-05,
|
| 2485 |
+
"loss": 0.3137,
|
| 2486 |
+
"step": 2900
|
| 2487 |
+
},
|
| 2488 |
+
{
|
| 2489 |
+
"epoch": 82.99,
|
| 2490 |
+
"eval_loss": 0.8024904131889343,
|
| 2491 |
+
"eval_runtime": 8.8882,
|
| 2492 |
+
"eval_samples_per_second": 7.088,
|
| 2493 |
+
"eval_steps_per_second": 1.8,
|
| 2494 |
+
"eval_wer": 0.33614508646140867,
|
| 2495 |
+
"step": 2905
|
| 2496 |
+
},
|
| 2497 |
+
{
|
| 2498 |
+
"epoch": 83.14,
|
| 2499 |
+
"learning_rate": 5.152737752161383e-05,
|
| 2500 |
+
"loss": 0.2981,
|
| 2501 |
+
"step": 2910
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 83.43,
|
| 2505 |
+
"learning_rate": 5.066282420749279e-05,
|
| 2506 |
+
"loss": 0.2669,
|
| 2507 |
+
"step": 2920
|
| 2508 |
+
},
|
| 2509 |
+
{
|
| 2510 |
+
"epoch": 83.71,
|
| 2511 |
+
"learning_rate": 4.979827089337175e-05,
|
| 2512 |
+
"loss": 0.3344,
|
| 2513 |
+
"step": 2930
|
| 2514 |
+
},
|
| 2515 |
+
{
|
| 2516 |
+
"epoch": 83.99,
|
| 2517 |
+
"learning_rate": 4.893371757925072e-05,
|
| 2518 |
+
"loss": 0.3133,
|
| 2519 |
+
"step": 2940
|
| 2520 |
+
},
|
| 2521 |
+
{
|
| 2522 |
+
"epoch": 83.99,
|
| 2523 |
+
"eval_loss": 0.778435230255127,
|
| 2524 |
+
"eval_runtime": 8.8669,
|
| 2525 |
+
"eval_samples_per_second": 7.105,
|
| 2526 |
+
"eval_steps_per_second": 1.804,
|
| 2527 |
+
"eval_wer": 0.34162800506115565,
|
| 2528 |
+
"step": 2940
|
| 2529 |
+
},
|
| 2530 |
+
{
|
| 2531 |
+
"epoch": 84.28,
|
| 2532 |
+
"learning_rate": 4.806916426512968e-05,
|
| 2533 |
+
"loss": 0.2994,
|
| 2534 |
+
"step": 2950
|
| 2535 |
+
},
|
| 2536 |
+
{
|
| 2537 |
+
"epoch": 84.57,
|
| 2538 |
+
"learning_rate": 4.7204610951008646e-05,
|
| 2539 |
+
"loss": 0.2719,
|
| 2540 |
+
"step": 2960
|
| 2541 |
+
},
|
| 2542 |
+
{
|
| 2543 |
+
"epoch": 84.85,
|
| 2544 |
+
"learning_rate": 4.63400576368876e-05,
|
| 2545 |
+
"loss": 0.3134,
|
| 2546 |
+
"step": 2970
|
| 2547 |
+
},
|
| 2548 |
+
{
|
| 2549 |
+
"epoch": 84.99,
|
| 2550 |
+
"eval_loss": 0.7894186973571777,
|
| 2551 |
+
"eval_runtime": 8.8795,
|
| 2552 |
+
"eval_samples_per_second": 7.095,
|
| 2553 |
+
"eval_steps_per_second": 1.802,
|
| 2554 |
+
"eval_wer": 0.3336145086461409,
|
| 2555 |
+
"step": 2975
|
| 2556 |
+
},
|
| 2557 |
+
{
|
| 2558 |
+
"epoch": 85.14,
|
| 2559 |
+
"learning_rate": 4.5475504322766566e-05,
|
| 2560 |
+
"loss": 0.2941,
|
| 2561 |
+
"step": 2980
|
| 2562 |
+
},
|
| 2563 |
+
{
|
| 2564 |
+
"epoch": 85.43,
|
| 2565 |
+
"learning_rate": 4.4610951008645526e-05,
|
| 2566 |
+
"loss": 0.2841,
|
| 2567 |
+
"step": 2990
|
| 2568 |
+
},
|
| 2569 |
+
{
|
| 2570 |
+
"epoch": 85.71,
|
| 2571 |
+
"learning_rate": 4.374639769452449e-05,
|
| 2572 |
+
"loss": 0.3184,
|
| 2573 |
+
"step": 3000
|
| 2574 |
+
},
|
| 2575 |
+
{
|
| 2576 |
+
"epoch": 85.99,
|
| 2577 |
+
"learning_rate": 4.288184438040346e-05,
|
| 2578 |
+
"loss": 0.3216,
|
| 2579 |
+
"step": 3010
|
| 2580 |
+
},
|
| 2581 |
+
{
|
| 2582 |
+
"epoch": 85.99,
|
| 2583 |
+
"eval_loss": 0.8330649137496948,
|
| 2584 |
+
"eval_runtime": 8.8914,
|
| 2585 |
+
"eval_samples_per_second": 7.086,
|
| 2586 |
+
"eval_steps_per_second": 1.799,
|
| 2587 |
+
"eval_wer": 0.33951919021509913,
|
| 2588 |
+
"step": 3010
|
| 2589 |
+
},
|
| 2590 |
+
{
|
| 2591 |
+
"epoch": 86.28,
|
| 2592 |
+
"learning_rate": 4.201729106628241e-05,
|
| 2593 |
+
"loss": 0.3181,
|
| 2594 |
+
"step": 3020
|
| 2595 |
+
},
|
| 2596 |
+
{
|
| 2597 |
+
"epoch": 86.57,
|
| 2598 |
+
"learning_rate": 4.115273775216138e-05,
|
| 2599 |
+
"loss": 0.289,
|
| 2600 |
+
"step": 3030
|
| 2601 |
+
},
|
| 2602 |
+
{
|
| 2603 |
+
"epoch": 86.85,
|
| 2604 |
+
"learning_rate": 4.028818443804034e-05,
|
| 2605 |
+
"loss": 0.365,
|
| 2606 |
+
"step": 3040
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 86.99,
|
| 2610 |
+
"eval_loss": 0.7980260252952576,
|
| 2611 |
+
"eval_runtime": 8.8324,
|
| 2612 |
+
"eval_samples_per_second": 7.133,
|
| 2613 |
+
"eval_steps_per_second": 1.812,
|
| 2614 |
+
"eval_wer": 0.3353015605229861,
|
| 2615 |
+
"step": 3045
|
| 2616 |
+
},
|
| 2617 |
+
{
|
| 2618 |
+
"epoch": 87.14,
|
| 2619 |
+
"learning_rate": 3.9423631123919305e-05,
|
| 2620 |
+
"loss": 0.3463,
|
| 2621 |
+
"step": 3050
|
| 2622 |
+
},
|
| 2623 |
+
{
|
| 2624 |
+
"epoch": 87.43,
|
| 2625 |
+
"learning_rate": 3.855907780979827e-05,
|
| 2626 |
+
"loss": 0.3385,
|
| 2627 |
+
"step": 3060
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 87.71,
|
| 2631 |
+
"learning_rate": 3.769452449567723e-05,
|
| 2632 |
+
"loss": 0.2897,
|
| 2633 |
+
"step": 3070
|
| 2634 |
+
},
|
| 2635 |
+
{
|
| 2636 |
+
"epoch": 87.99,
|
| 2637 |
+
"learning_rate": 3.682997118155619e-05,
|
| 2638 |
+
"loss": 0.2962,
|
| 2639 |
+
"step": 3080
|
| 2640 |
+
},
|
| 2641 |
+
{
|
| 2642 |
+
"epoch": 87.99,
|
| 2643 |
+
"eval_loss": 0.7964635491371155,
|
| 2644 |
+
"eval_runtime": 8.8283,
|
| 2645 |
+
"eval_samples_per_second": 7.136,
|
| 2646 |
+
"eval_steps_per_second": 1.812,
|
| 2647 |
+
"eval_wer": 0.3403627161535217,
|
| 2648 |
+
"step": 3080
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 88.28,
|
| 2652 |
+
"learning_rate": 3.596541786743515e-05,
|
| 2653 |
+
"loss": 0.3322,
|
| 2654 |
+
"step": 3090
|
| 2655 |
+
},
|
| 2656 |
+
{
|
| 2657 |
+
"epoch": 88.57,
|
| 2658 |
+
"learning_rate": 3.510086455331412e-05,
|
| 2659 |
+
"loss": 0.2878,
|
| 2660 |
+
"step": 3100
|
| 2661 |
+
},
|
| 2662 |
+
{
|
| 2663 |
+
"epoch": 88.85,
|
| 2664 |
+
"learning_rate": 3.4236311239193085e-05,
|
| 2665 |
+
"loss": 0.3126,
|
| 2666 |
+
"step": 3110
|
| 2667 |
+
},
|
| 2668 |
+
{
|
| 2669 |
+
"epoch": 88.99,
|
| 2670 |
+
"eval_loss": 0.7469554543495178,
|
| 2671 |
+
"eval_runtime": 8.8328,
|
| 2672 |
+
"eval_samples_per_second": 7.133,
|
| 2673 |
+
"eval_steps_per_second": 1.811,
|
| 2674 |
+
"eval_wer": 0.3420497680303669,
|
| 2675 |
+
"step": 3115
|
| 2676 |
+
},
|
| 2677 |
+
{
|
| 2678 |
+
"epoch": 89.14,
|
| 2679 |
+
"learning_rate": 3.3371757925072045e-05,
|
| 2680 |
+
"loss": 0.3497,
|
| 2681 |
+
"step": 3120
|
| 2682 |
+
},
|
| 2683 |
+
{
|
| 2684 |
+
"epoch": 89.43,
|
| 2685 |
+
"learning_rate": 3.2507204610951004e-05,
|
| 2686 |
+
"loss": 0.3006,
|
| 2687 |
+
"step": 3130
|
| 2688 |
+
},
|
| 2689 |
+
{
|
| 2690 |
+
"epoch": 89.71,
|
| 2691 |
+
"learning_rate": 3.164265129682997e-05,
|
| 2692 |
+
"loss": 0.3237,
|
| 2693 |
+
"step": 3140
|
| 2694 |
+
},
|
| 2695 |
+
{
|
| 2696 |
+
"epoch": 89.99,
|
| 2697 |
+
"learning_rate": 3.077809798270893e-05,
|
| 2698 |
+
"loss": 0.2843,
|
| 2699 |
+
"step": 3150
|
| 2700 |
+
},
|
| 2701 |
+
{
|
| 2702 |
+
"epoch": 89.99,
|
| 2703 |
+
"eval_loss": 0.7787944078445435,
|
| 2704 |
+
"eval_runtime": 8.8054,
|
| 2705 |
+
"eval_samples_per_second": 7.155,
|
| 2706 |
+
"eval_steps_per_second": 1.817,
|
| 2707 |
+
"eval_wer": 0.3403627161535217,
|
| 2708 |
+
"step": 3150
|
| 2709 |
+
},
|
| 2710 |
+
{
|
| 2711 |
+
"epoch": 90.28,
|
| 2712 |
+
"learning_rate": 2.9913544668587894e-05,
|
| 2713 |
+
"loss": 0.3021,
|
| 2714 |
+
"step": 3160
|
| 2715 |
+
},
|
| 2716 |
+
{
|
| 2717 |
+
"epoch": 90.57,
|
| 2718 |
+
"learning_rate": 2.9048991354466857e-05,
|
| 2719 |
+
"loss": 0.2765,
|
| 2720 |
+
"step": 3170
|
| 2721 |
+
},
|
| 2722 |
+
{
|
| 2723 |
+
"epoch": 90.85,
|
| 2724 |
+
"learning_rate": 2.8184438040345817e-05,
|
| 2725 |
+
"loss": 0.2967,
|
| 2726 |
+
"step": 3180
|
| 2727 |
+
},
|
| 2728 |
+
{
|
| 2729 |
+
"epoch": 90.99,
|
| 2730 |
+
"eval_loss": 0.790235698223114,
|
| 2731 |
+
"eval_runtime": 8.8387,
|
| 2732 |
+
"eval_samples_per_second": 7.128,
|
| 2733 |
+
"eval_steps_per_second": 1.81,
|
| 2734 |
+
"eval_wer": 0.3374103753690426,
|
| 2735 |
+
"step": 3185
|
| 2736 |
+
},
|
| 2737 |
+
{
|
| 2738 |
+
"epoch": 91.14,
|
| 2739 |
+
"learning_rate": 2.731988472622478e-05,
|
| 2740 |
+
"loss": 0.2985,
|
| 2741 |
+
"step": 3190
|
| 2742 |
+
},
|
| 2743 |
+
{
|
| 2744 |
+
"epoch": 91.43,
|
| 2745 |
+
"learning_rate": 2.6455331412103747e-05,
|
| 2746 |
+
"loss": 0.2949,
|
| 2747 |
+
"step": 3200
|
| 2748 |
+
},
|
| 2749 |
+
{
|
| 2750 |
+
"epoch": 91.71,
|
| 2751 |
+
"learning_rate": 2.5590778097982707e-05,
|
| 2752 |
+
"loss": 0.2924,
|
| 2753 |
+
"step": 3210
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"epoch": 91.99,
|
| 2757 |
+
"learning_rate": 2.472622478386167e-05,
|
| 2758 |
+
"loss": 0.3171,
|
| 2759 |
+
"step": 3220
|
| 2760 |
+
},
|
| 2761 |
+
{
|
| 2762 |
+
"epoch": 91.99,
|
| 2763 |
+
"eval_loss": 0.8021612167358398,
|
| 2764 |
+
"eval_runtime": 8.9042,
|
| 2765 |
+
"eval_samples_per_second": 7.075,
|
| 2766 |
+
"eval_steps_per_second": 1.797,
|
| 2767 |
+
"eval_wer": 0.3403627161535217,
|
| 2768 |
+
"step": 3220
|
| 2769 |
+
},
|
| 2770 |
+
{
|
| 2771 |
+
"epoch": 92.28,
|
| 2772 |
+
"learning_rate": 2.386167146974063e-05,
|
| 2773 |
+
"loss": 0.2985,
|
| 2774 |
+
"step": 3230
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 92.57,
|
| 2778 |
+
"learning_rate": 2.2997118155619593e-05,
|
| 2779 |
+
"loss": 0.2964,
|
| 2780 |
+
"step": 3240
|
| 2781 |
+
},
|
| 2782 |
+
{
|
| 2783 |
+
"epoch": 92.85,
|
| 2784 |
+
"learning_rate": 2.213256484149856e-05,
|
| 2785 |
+
"loss": 0.3069,
|
| 2786 |
+
"step": 3250
|
| 2787 |
+
},
|
| 2788 |
+
{
|
| 2789 |
+
"epoch": 92.99,
|
| 2790 |
+
"eval_loss": 0.7999234795570374,
|
| 2791 |
+
"eval_runtime": 8.9491,
|
| 2792 |
+
"eval_samples_per_second": 7.04,
|
| 2793 |
+
"eval_steps_per_second": 1.788,
|
| 2794 |
+
"eval_wer": 0.33445803458456347,
|
| 2795 |
+
"step": 3255
|
| 2796 |
+
},
|
| 2797 |
+
{
|
| 2798 |
+
"epoch": 93.14,
|
| 2799 |
+
"learning_rate": 2.126801152737752e-05,
|
| 2800 |
+
"loss": 0.3008,
|
| 2801 |
+
"step": 3260
|
| 2802 |
+
},
|
| 2803 |
+
{
|
| 2804 |
+
"epoch": 93.43,
|
| 2805 |
+
"learning_rate": 2.0403458213256483e-05,
|
| 2806 |
+
"loss": 0.3183,
|
| 2807 |
+
"step": 3270
|
| 2808 |
+
},
|
| 2809 |
+
{
|
| 2810 |
+
"epoch": 93.71,
|
| 2811 |
+
"learning_rate": 1.9538904899135446e-05,
|
| 2812 |
+
"loss": 0.2784,
|
| 2813 |
+
"step": 3280
|
| 2814 |
+
},
|
| 2815 |
+
{
|
| 2816 |
+
"epoch": 93.99,
|
| 2817 |
+
"learning_rate": 1.867435158501441e-05,
|
| 2818 |
+
"loss": 0.3571,
|
| 2819 |
+
"step": 3290
|
| 2820 |
+
},
|
| 2821 |
+
{
|
| 2822 |
+
"epoch": 93.99,
|
| 2823 |
+
"eval_loss": 0.7896485328674316,
|
| 2824 |
+
"eval_runtime": 8.8589,
|
| 2825 |
+
"eval_samples_per_second": 7.111,
|
| 2826 |
+
"eval_steps_per_second": 1.806,
|
| 2827 |
+
"eval_wer": 0.3403627161535217,
|
| 2828 |
+
"step": 3290
|
| 2829 |
+
},
|
| 2830 |
+
{
|
| 2831 |
+
"epoch": 94.28,
|
| 2832 |
+
"learning_rate": 1.780979827089337e-05,
|
| 2833 |
+
"loss": 0.2793,
|
| 2834 |
+
"step": 3300
|
| 2835 |
+
},
|
| 2836 |
+
{
|
| 2837 |
+
"epoch": 94.57,
|
| 2838 |
+
"learning_rate": 1.6945244956772332e-05,
|
| 2839 |
+
"loss": 0.3032,
|
| 2840 |
+
"step": 3310
|
| 2841 |
+
},
|
| 2842 |
+
{
|
| 2843 |
+
"epoch": 94.85,
|
| 2844 |
+
"learning_rate": 1.6080691642651295e-05,
|
| 2845 |
+
"loss": 0.2805,
|
| 2846 |
+
"step": 3320
|
| 2847 |
+
},
|
| 2848 |
+
{
|
| 2849 |
+
"epoch": 94.99,
|
| 2850 |
+
"eval_loss": 0.783069908618927,
|
| 2851 |
+
"eval_runtime": 8.8967,
|
| 2852 |
+
"eval_samples_per_second": 7.081,
|
| 2853 |
+
"eval_steps_per_second": 1.798,
|
| 2854 |
+
"eval_wer": 0.3390974272458878,
|
| 2855 |
+
"step": 3325
|
| 2856 |
+
},
|
| 2857 |
+
{
|
| 2858 |
+
"epoch": 95.14,
|
| 2859 |
+
"learning_rate": 1.5216138328530259e-05,
|
| 2860 |
+
"loss": 0.2734,
|
| 2861 |
+
"step": 3330
|
| 2862 |
+
},
|
| 2863 |
+
{
|
| 2864 |
+
"epoch": 95.43,
|
| 2865 |
+
"learning_rate": 1.435158501440922e-05,
|
| 2866 |
+
"loss": 0.2819,
|
| 2867 |
+
"step": 3340
|
| 2868 |
+
},
|
| 2869 |
+
{
|
| 2870 |
+
"epoch": 95.71,
|
| 2871 |
+
"learning_rate": 1.3487031700288182e-05,
|
| 2872 |
+
"loss": 0.3385,
|
| 2873 |
+
"step": 3350
|
| 2874 |
+
},
|
| 2875 |
+
{
|
| 2876 |
+
"epoch": 95.99,
|
| 2877 |
+
"learning_rate": 1.2622478386167147e-05,
|
| 2878 |
+
"loss": 0.3099,
|
| 2879 |
+
"step": 3360
|
| 2880 |
+
},
|
| 2881 |
+
{
|
| 2882 |
+
"epoch": 95.99,
|
| 2883 |
+
"eval_loss": 0.790939450263977,
|
| 2884 |
+
"eval_runtime": 8.9444,
|
| 2885 |
+
"eval_samples_per_second": 7.043,
|
| 2886 |
+
"eval_steps_per_second": 1.789,
|
| 2887 |
+
"eval_wer": 0.33656684943062,
|
| 2888 |
+
"step": 3360
|
| 2889 |
+
},
|
| 2890 |
+
{
|
| 2891 |
+
"epoch": 96.28,
|
| 2892 |
+
"learning_rate": 1.1757925072046108e-05,
|
| 2893 |
+
"loss": 0.3293,
|
| 2894 |
+
"step": 3370
|
| 2895 |
+
},
|
| 2896 |
+
{
|
| 2897 |
+
"epoch": 96.57,
|
| 2898 |
+
"learning_rate": 1.0893371757925071e-05,
|
| 2899 |
+
"loss": 0.2569,
|
| 2900 |
+
"step": 3380
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 96.85,
|
| 2904 |
+
"learning_rate": 1.0028818443804033e-05,
|
| 2905 |
+
"loss": 0.2868,
|
| 2906 |
+
"step": 3390
|
| 2907 |
+
},
|
| 2908 |
+
{
|
| 2909 |
+
"epoch": 96.99,
|
| 2910 |
+
"eval_loss": 0.7918463945388794,
|
| 2911 |
+
"eval_runtime": 9.0538,
|
| 2912 |
+
"eval_samples_per_second": 6.958,
|
| 2913 |
+
"eval_steps_per_second": 1.767,
|
| 2914 |
+
"eval_wer": 0.33951919021509913,
|
| 2915 |
+
"step": 3395
|
| 2916 |
+
},
|
| 2917 |
+
{
|
| 2918 |
+
"epoch": 97.14,
|
| 2919 |
+
"learning_rate": 9.164265129682996e-06,
|
| 2920 |
+
"loss": 0.299,
|
| 2921 |
+
"step": 3400
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 97.43,
|
| 2925 |
+
"learning_rate": 8.29971181556196e-06,
|
| 2926 |
+
"loss": 0.2942,
|
| 2927 |
+
"step": 3410
|
| 2928 |
+
},
|
| 2929 |
+
{
|
| 2930 |
+
"epoch": 97.71,
|
| 2931 |
+
"learning_rate": 7.435158501440922e-06,
|
| 2932 |
+
"loss": 0.2931,
|
| 2933 |
+
"step": 3420
|
| 2934 |
+
},
|
| 2935 |
+
{
|
| 2936 |
+
"epoch": 97.99,
|
| 2937 |
+
"learning_rate": 6.570605187319884e-06,
|
| 2938 |
+
"loss": 0.2626,
|
| 2939 |
+
"step": 3430
|
| 2940 |
+
},
|
| 2941 |
+
{
|
| 2942 |
+
"epoch": 97.99,
|
| 2943 |
+
"eval_loss": 0.776630699634552,
|
| 2944 |
+
"eval_runtime": 8.8695,
|
| 2945 |
+
"eval_samples_per_second": 7.103,
|
| 2946 |
+
"eval_steps_per_second": 1.804,
|
| 2947 |
+
"eval_wer": 0.34289329396878954,
|
| 2948 |
+
"step": 3430
|
| 2949 |
+
},
|
| 2950 |
+
{
|
| 2951 |
+
"epoch": 98.28,
|
| 2952 |
+
"learning_rate": 5.706051873198847e-06,
|
| 2953 |
+
"loss": 0.282,
|
| 2954 |
+
"step": 3440
|
| 2955 |
+
},
|
| 2956 |
+
{
|
| 2957 |
+
"epoch": 98.57,
|
| 2958 |
+
"learning_rate": 4.841498559077809e-06,
|
| 2959 |
+
"loss": 0.339,
|
| 2960 |
+
"step": 3450
|
| 2961 |
+
},
|
| 2962 |
+
{
|
| 2963 |
+
"epoch": 98.85,
|
| 2964 |
+
"learning_rate": 3.976945244956772e-06,
|
| 2965 |
+
"loss": 0.2634,
|
| 2966 |
+
"step": 3460
|
| 2967 |
+
},
|
| 2968 |
+
{
|
| 2969 |
+
"epoch": 98.99,
|
| 2970 |
+
"eval_loss": 0.777043879032135,
|
| 2971 |
+
"eval_runtime": 8.8512,
|
| 2972 |
+
"eval_samples_per_second": 7.118,
|
| 2973 |
+
"eval_steps_per_second": 1.808,
|
| 2974 |
+
"eval_wer": 0.34373681990721217,
|
| 2975 |
+
"step": 3465
|
| 2976 |
+
},
|
| 2977 |
+
{
|
| 2978 |
+
"epoch": 99.14,
|
| 2979 |
+
"learning_rate": 3.1123919308357346e-06,
|
| 2980 |
+
"loss": 0.3132,
|
| 2981 |
+
"step": 3470
|
| 2982 |
+
},
|
| 2983 |
+
{
|
| 2984 |
+
"epoch": 99.43,
|
| 2985 |
+
"learning_rate": 2.247838616714697e-06,
|
| 2986 |
+
"loss": 0.2755,
|
| 2987 |
+
"step": 3480
|
| 2988 |
+
},
|
| 2989 |
+
{
|
| 2990 |
+
"epoch": 99.71,
|
| 2991 |
+
"learning_rate": 1.38328530259366e-06,
|
| 2992 |
+
"loss": 0.3658,
|
| 2993 |
+
"step": 3490
|
| 2994 |
+
},
|
| 2995 |
+
{
|
| 2996 |
+
"epoch": 99.99,
|
| 2997 |
+
"learning_rate": 5.187319884726225e-07,
|
| 2998 |
+
"loss": 0.288,
|
| 2999 |
+
"step": 3500
|
| 3000 |
+
},
|
| 3001 |
+
{
|
| 3002 |
+
"epoch": 99.99,
|
| 3003 |
+
"eval_loss": 0.7762196063995361,
|
| 3004 |
+
"eval_runtime": 8.8123,
|
| 3005 |
+
"eval_samples_per_second": 7.149,
|
| 3006 |
+
"eval_steps_per_second": 1.816,
|
| 3007 |
+
"eval_wer": 0.34289329396878954,
|
| 3008 |
+
"step": 3500
|
| 3009 |
+
},
|
| 3010 |
+
{
|
| 3011 |
+
"epoch": 99.99,
|
| 3012 |
+
"step": 3500,
|
| 3013 |
+
"total_flos": 5.739635222597828e+18,
|
| 3014 |
+
"train_loss": 0.4800486422266279,
|
| 3015 |
+
"train_runtime": 12025.3803,
|
| 3016 |
+
"train_samples_per_second": 4.682,
|
| 3017 |
+
"train_steps_per_second": 0.291
|
| 3018 |
+
}
|
| 3019 |
+
],
|
| 3020 |
+
"max_steps": 3500,
|
| 3021 |
+
"num_train_epochs": 100,
|
| 3022 |
+
"total_flos": 5.739635222597828e+18,
|
| 3023 |
+
"trial_name": null,
|
| 3024 |
+
"trial_params": null
|
| 3025 |
+
}
|