End of training
Browse files- all_results.json +7 -0
- train_results.json +7 -0
- trainer_state.json +1345 -0
all_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 0.3844692539477694,
|
| 4 |
+
"train_runtime": 45994.9721,
|
| 5 |
+
"train_samples_per_second": 61.446,
|
| 6 |
+
"train_steps_per_second": 1.92
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 0.3844692539477694,
|
| 4 |
+
"train_runtime": 45994.9721,
|
| 5 |
+
"train_samples_per_second": 61.446,
|
| 6 |
+
"train_steps_per_second": 1.92
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1345 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8122261844116149,
|
| 3 |
+
"best_model_checkpoint": "/home/user/emrecan/models/dbmdz_convbert-base-turkish-mc4-cased_allnli_tr/checkpoint-80000",
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"global_step": 88320,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.03,
|
| 12 |
+
"learning_rate": 1.9773550724637682e-05,
|
| 13 |
+
"loss": 0.7338,
|
| 14 |
+
"step": 1000
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.03,
|
| 18 |
+
"eval_accuracy": 0.723586347427407,
|
| 19 |
+
"eval_loss": 0.6721901297569275,
|
| 20 |
+
"eval_runtime": 44.7079,
|
| 21 |
+
"eval_samples_per_second": 219.536,
|
| 22 |
+
"eval_steps_per_second": 6.867,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.07,
|
| 27 |
+
"learning_rate": 1.9547101449275363e-05,
|
| 28 |
+
"loss": 0.603,
|
| 29 |
+
"step": 2000
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"epoch": 0.07,
|
| 33 |
+
"eval_accuracy": 0.7398879266428935,
|
| 34 |
+
"eval_loss": 0.6465004682540894,
|
| 35 |
+
"eval_runtime": 44.7809,
|
| 36 |
+
"eval_samples_per_second": 219.178,
|
| 37 |
+
"eval_steps_per_second": 6.856,
|
| 38 |
+
"step": 2000
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.1,
|
| 42 |
+
"learning_rate": 1.9320652173913047e-05,
|
| 43 |
+
"loss": 0.5605,
|
| 44 |
+
"step": 3000
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1,
|
| 48 |
+
"eval_accuracy": 0.7727967396841569,
|
| 49 |
+
"eval_loss": 0.5801343321800232,
|
| 50 |
+
"eval_runtime": 44.4418,
|
| 51 |
+
"eval_samples_per_second": 220.851,
|
| 52 |
+
"eval_steps_per_second": 6.908,
|
| 53 |
+
"step": 3000
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 0.14,
|
| 57 |
+
"learning_rate": 1.9094202898550727e-05,
|
| 58 |
+
"loss": 0.55,
|
| 59 |
+
"step": 4000
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.14,
|
| 63 |
+
"eval_accuracy": 0.7626082526744778,
|
| 64 |
+
"eval_loss": 0.5994369983673096,
|
| 65 |
+
"eval_runtime": 44.603,
|
| 66 |
+
"eval_samples_per_second": 220.052,
|
| 67 |
+
"eval_steps_per_second": 6.883,
|
| 68 |
+
"step": 4000
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.17,
|
| 72 |
+
"learning_rate": 1.8867753623188408e-05,
|
| 73 |
+
"loss": 0.529,
|
| 74 |
+
"step": 5000
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.17,
|
| 78 |
+
"eval_accuracy": 0.7697401935812532,
|
| 79 |
+
"eval_loss": 0.5720144510269165,
|
| 80 |
+
"eval_runtime": 44.7705,
|
| 81 |
+
"eval_samples_per_second": 219.229,
|
| 82 |
+
"eval_steps_per_second": 6.857,
|
| 83 |
+
"step": 5000
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 0.2,
|
| 87 |
+
"learning_rate": 1.864130434782609e-05,
|
| 88 |
+
"loss": 0.5196,
|
| 89 |
+
"step": 6000
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 0.2,
|
| 93 |
+
"eval_accuracy": 0.7768721344880285,
|
| 94 |
+
"eval_loss": 0.5691649317741394,
|
| 95 |
+
"eval_runtime": 44.7386,
|
| 96 |
+
"eval_samples_per_second": 219.385,
|
| 97 |
+
"eval_steps_per_second": 6.862,
|
| 98 |
+
"step": 6000
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.24,
|
| 102 |
+
"learning_rate": 1.841485507246377e-05,
|
| 103 |
+
"loss": 0.5117,
|
| 104 |
+
"step": 7000
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.24,
|
| 108 |
+
"eval_accuracy": 0.7785022924095771,
|
| 109 |
+
"eval_loss": 0.5724737644195557,
|
| 110 |
+
"eval_runtime": 44.7709,
|
| 111 |
+
"eval_samples_per_second": 219.227,
|
| 112 |
+
"eval_steps_per_second": 6.857,
|
| 113 |
+
"step": 7000
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 0.27,
|
| 117 |
+
"learning_rate": 1.818840579710145e-05,
|
| 118 |
+
"loss": 0.5044,
|
| 119 |
+
"step": 8000
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.27,
|
| 123 |
+
"eval_accuracy": 0.7787060621497708,
|
| 124 |
+
"eval_loss": 0.5532070398330688,
|
| 125 |
+
"eval_runtime": 44.6683,
|
| 126 |
+
"eval_samples_per_second": 219.731,
|
| 127 |
+
"eval_steps_per_second": 6.873,
|
| 128 |
+
"step": 8000
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.31,
|
| 132 |
+
"learning_rate": 1.7961956521739134e-05,
|
| 133 |
+
"loss": 0.5016,
|
| 134 |
+
"step": 9000
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.31,
|
| 138 |
+
"eval_accuracy": 0.7811512990320937,
|
| 139 |
+
"eval_loss": 0.5546181797981262,
|
| 140 |
+
"eval_runtime": 44.6036,
|
| 141 |
+
"eval_samples_per_second": 220.049,
|
| 142 |
+
"eval_steps_per_second": 6.883,
|
| 143 |
+
"step": 9000
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.34,
|
| 147 |
+
"learning_rate": 1.7735507246376815e-05,
|
| 148 |
+
"loss": 0.5031,
|
| 149 |
+
"step": 10000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.34,
|
| 153 |
+
"eval_accuracy": 0.7869587366276108,
|
| 154 |
+
"eval_loss": 0.5461075901985168,
|
| 155 |
+
"eval_runtime": 44.6087,
|
| 156 |
+
"eval_samples_per_second": 220.024,
|
| 157 |
+
"eval_steps_per_second": 6.882,
|
| 158 |
+
"step": 10000
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.37,
|
| 162 |
+
"learning_rate": 1.7509057971014495e-05,
|
| 163 |
+
"loss": 0.4949,
|
| 164 |
+
"step": 11000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.37,
|
| 168 |
+
"eval_accuracy": 0.7825776872134488,
|
| 169 |
+
"eval_loss": 0.5724930763244629,
|
| 170 |
+
"eval_runtime": 44.6365,
|
| 171 |
+
"eval_samples_per_second": 219.888,
|
| 172 |
+
"eval_steps_per_second": 6.878,
|
| 173 |
+
"step": 11000
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.41,
|
| 177 |
+
"learning_rate": 1.7282608695652176e-05,
|
| 178 |
+
"loss": 0.4894,
|
| 179 |
+
"step": 12000
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.41,
|
| 183 |
+
"eval_accuracy": 0.7932755985736119,
|
| 184 |
+
"eval_loss": 0.5418519377708435,
|
| 185 |
+
"eval_runtime": 44.7444,
|
| 186 |
+
"eval_samples_per_second": 219.357,
|
| 187 |
+
"eval_steps_per_second": 6.861,
|
| 188 |
+
"step": 12000
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.44,
|
| 192 |
+
"learning_rate": 1.7056159420289856e-05,
|
| 193 |
+
"loss": 0.4796,
|
| 194 |
+
"step": 13000
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.44,
|
| 198 |
+
"eval_accuracy": 0.7914416709118696,
|
| 199 |
+
"eval_loss": 0.5278186798095703,
|
| 200 |
+
"eval_runtime": 44.5917,
|
| 201 |
+
"eval_samples_per_second": 220.108,
|
| 202 |
+
"eval_steps_per_second": 6.885,
|
| 203 |
+
"step": 13000
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 0.48,
|
| 207 |
+
"learning_rate": 1.6829710144927537e-05,
|
| 208 |
+
"loss": 0.4795,
|
| 209 |
+
"step": 14000
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.48,
|
| 213 |
+
"eval_accuracy": 0.7953132959755477,
|
| 214 |
+
"eval_loss": 0.5193336606025696,
|
| 215 |
+
"eval_runtime": 44.673,
|
| 216 |
+
"eval_samples_per_second": 219.708,
|
| 217 |
+
"eval_steps_per_second": 6.872,
|
| 218 |
+
"step": 14000
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.51,
|
| 222 |
+
"learning_rate": 1.6603260869565218e-05,
|
| 223 |
+
"loss": 0.4713,
|
| 224 |
+
"step": 15000
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 0.51,
|
| 228 |
+
"eval_accuracy": 0.7770759042282221,
|
| 229 |
+
"eval_loss": 0.5534396171569824,
|
| 230 |
+
"eval_runtime": 44.688,
|
| 231 |
+
"eval_samples_per_second": 219.634,
|
| 232 |
+
"eval_steps_per_second": 6.87,
|
| 233 |
+
"step": 15000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.54,
|
| 237 |
+
"learning_rate": 1.6376811594202898e-05,
|
| 238 |
+
"loss": 0.4738,
|
| 239 |
+
"step": 16000
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.54,
|
| 243 |
+
"eval_accuracy": 0.803871625063678,
|
| 244 |
+
"eval_loss": 0.5097627639770508,
|
| 245 |
+
"eval_runtime": 44.7421,
|
| 246 |
+
"eval_samples_per_second": 219.368,
|
| 247 |
+
"eval_steps_per_second": 6.862,
|
| 248 |
+
"step": 16000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.58,
|
| 252 |
+
"learning_rate": 1.615036231884058e-05,
|
| 253 |
+
"loss": 0.481,
|
| 254 |
+
"step": 17000
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.58,
|
| 258 |
+
"eval_accuracy": 0.7958227203260316,
|
| 259 |
+
"eval_loss": 0.5244179368019104,
|
| 260 |
+
"eval_runtime": 44.7909,
|
| 261 |
+
"eval_samples_per_second": 219.129,
|
| 262 |
+
"eval_steps_per_second": 6.854,
|
| 263 |
+
"step": 17000
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 0.61,
|
| 267 |
+
"learning_rate": 1.5923913043478263e-05,
|
| 268 |
+
"loss": 0.4634,
|
| 269 |
+
"step": 18000
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.61,
|
| 273 |
+
"eval_accuracy": 0.7972491085073866,
|
| 274 |
+
"eval_loss": 0.5214974880218506,
|
| 275 |
+
"eval_runtime": 44.5586,
|
| 276 |
+
"eval_samples_per_second": 220.272,
|
| 277 |
+
"eval_steps_per_second": 6.89,
|
| 278 |
+
"step": 18000
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.65,
|
| 282 |
+
"learning_rate": 1.5697463768115943e-05,
|
| 283 |
+
"loss": 0.465,
|
| 284 |
+
"step": 19000
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.65,
|
| 288 |
+
"eval_accuracy": 0.7984717269485482,
|
| 289 |
+
"eval_loss": 0.5128703117370605,
|
| 290 |
+
"eval_runtime": 44.7294,
|
| 291 |
+
"eval_samples_per_second": 219.431,
|
| 292 |
+
"eval_steps_per_second": 6.863,
|
| 293 |
+
"step": 19000
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.68,
|
| 297 |
+
"learning_rate": 1.5471014492753624e-05,
|
| 298 |
+
"loss": 0.4624,
|
| 299 |
+
"step": 20000
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.68,
|
| 303 |
+
"eval_accuracy": 0.8046867040244524,
|
| 304 |
+
"eval_loss": 0.5061507821083069,
|
| 305 |
+
"eval_runtime": 44.7949,
|
| 306 |
+
"eval_samples_per_second": 219.11,
|
| 307 |
+
"eval_steps_per_second": 6.853,
|
| 308 |
+
"step": 20000
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 0.71,
|
| 312 |
+
"learning_rate": 1.5244565217391305e-05,
|
| 313 |
+
"loss": 0.4597,
|
| 314 |
+
"step": 21000
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.71,
|
| 318 |
+
"eval_accuracy": 0.8028527763627101,
|
| 319 |
+
"eval_loss": 0.5114405751228333,
|
| 320 |
+
"eval_runtime": 47.1654,
|
| 321 |
+
"eval_samples_per_second": 208.098,
|
| 322 |
+
"eval_steps_per_second": 6.509,
|
| 323 |
+
"step": 21000
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 0.75,
|
| 327 |
+
"learning_rate": 1.5018115942028985e-05,
|
| 328 |
+
"loss": 0.4571,
|
| 329 |
+
"step": 22000
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.75,
|
| 333 |
+
"eval_accuracy": 0.807335710646969,
|
| 334 |
+
"eval_loss": 0.5069620609283447,
|
| 335 |
+
"eval_runtime": 45.7859,
|
| 336 |
+
"eval_samples_per_second": 214.368,
|
| 337 |
+
"eval_steps_per_second": 6.705,
|
| 338 |
+
"step": 22000
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.78,
|
| 342 |
+
"learning_rate": 1.479166666666667e-05,
|
| 343 |
+
"loss": 0.4602,
|
| 344 |
+
"step": 23000
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.78,
|
| 348 |
+
"eval_accuracy": 0.7992868059093224,
|
| 349 |
+
"eval_loss": 0.5114511847496033,
|
| 350 |
+
"eval_runtime": 45.8642,
|
| 351 |
+
"eval_samples_per_second": 214.001,
|
| 352 |
+
"eval_steps_per_second": 6.694,
|
| 353 |
+
"step": 23000
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.82,
|
| 357 |
+
"learning_rate": 1.456521739130435e-05,
|
| 358 |
+
"loss": 0.4552,
|
| 359 |
+
"step": 24000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.82,
|
| 363 |
+
"eval_accuracy": 0.8051961283749364,
|
| 364 |
+
"eval_loss": 0.5085225105285645,
|
| 365 |
+
"eval_runtime": 46.055,
|
| 366 |
+
"eval_samples_per_second": 213.115,
|
| 367 |
+
"eval_steps_per_second": 6.666,
|
| 368 |
+
"step": 24000
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.85,
|
| 372 |
+
"learning_rate": 1.433876811594203e-05,
|
| 373 |
+
"loss": 0.4538,
|
| 374 |
+
"step": 25000
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.85,
|
| 378 |
+
"eval_accuracy": 0.7973509933774835,
|
| 379 |
+
"eval_loss": 0.5118097066879272,
|
| 380 |
+
"eval_runtime": 45.9419,
|
| 381 |
+
"eval_samples_per_second": 213.639,
|
| 382 |
+
"eval_steps_per_second": 6.682,
|
| 383 |
+
"step": 25000
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 0.88,
|
| 387 |
+
"learning_rate": 1.4112318840579711e-05,
|
| 388 |
+
"loss": 0.4517,
|
| 389 |
+
"step": 26000
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.88,
|
| 393 |
+
"eval_accuracy": 0.804381049414162,
|
| 394 |
+
"eval_loss": 0.5036212205886841,
|
| 395 |
+
"eval_runtime": 45.8528,
|
| 396 |
+
"eval_samples_per_second": 214.055,
|
| 397 |
+
"eval_steps_per_second": 6.695,
|
| 398 |
+
"step": 26000
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.92,
|
| 402 |
+
"learning_rate": 1.3885869565217392e-05,
|
| 403 |
+
"loss": 0.4517,
|
| 404 |
+
"step": 27000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 0.92,
|
| 408 |
+
"eval_accuracy": 0.8062149770759043,
|
| 409 |
+
"eval_loss": 0.4929669201374054,
|
| 410 |
+
"eval_runtime": 45.8655,
|
| 411 |
+
"eval_samples_per_second": 213.995,
|
| 412 |
+
"eval_steps_per_second": 6.693,
|
| 413 |
+
"step": 27000
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 0.95,
|
| 417 |
+
"learning_rate": 1.3659420289855074e-05,
|
| 418 |
+
"loss": 0.4413,
|
| 419 |
+
"step": 28000
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.95,
|
| 423 |
+
"eval_accuracy": 0.7964340295466124,
|
| 424 |
+
"eval_loss": 0.5306665897369385,
|
| 425 |
+
"eval_runtime": 45.9438,
|
| 426 |
+
"eval_samples_per_second": 213.631,
|
| 427 |
+
"eval_steps_per_second": 6.682,
|
| 428 |
+
"step": 28000
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.99,
|
| 432 |
+
"learning_rate": 1.3432971014492755e-05,
|
| 433 |
+
"loss": 0.4483,
|
| 434 |
+
"step": 29000
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 0.99,
|
| 438 |
+
"eval_accuracy": 0.7937850229240958,
|
| 439 |
+
"eval_loss": 0.5194875001907349,
|
| 440 |
+
"eval_runtime": 45.8704,
|
| 441 |
+
"eval_samples_per_second": 213.972,
|
| 442 |
+
"eval_steps_per_second": 6.693,
|
| 443 |
+
"step": 29000
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.02,
|
| 447 |
+
"learning_rate": 1.3206521739130435e-05,
|
| 448 |
+
"loss": 0.4036,
|
| 449 |
+
"step": 30000
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 1.02,
|
| 453 |
+
"eval_accuracy": 0.8028527763627101,
|
| 454 |
+
"eval_loss": 0.5238322615623474,
|
| 455 |
+
"eval_runtime": 45.9862,
|
| 456 |
+
"eval_samples_per_second": 213.434,
|
| 457 |
+
"eval_steps_per_second": 6.676,
|
| 458 |
+
"step": 30000
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.05,
|
| 462 |
+
"learning_rate": 1.2980072463768116e-05,
|
| 463 |
+
"loss": 0.3724,
|
| 464 |
+
"step": 31000
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.05,
|
| 468 |
+
"eval_accuracy": 0.8081507896077432,
|
| 469 |
+
"eval_loss": 0.5124598741531372,
|
| 470 |
+
"eval_runtime": 47.042,
|
| 471 |
+
"eval_samples_per_second": 208.643,
|
| 472 |
+
"eval_steps_per_second": 6.526,
|
| 473 |
+
"step": 31000
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 1.09,
|
| 477 |
+
"learning_rate": 1.2753623188405797e-05,
|
| 478 |
+
"loss": 0.3777,
|
| 479 |
+
"step": 32000
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.09,
|
| 483 |
+
"eval_accuracy": 0.8075394803871625,
|
| 484 |
+
"eval_loss": 0.509867787361145,
|
| 485 |
+
"eval_runtime": 46.0494,
|
| 486 |
+
"eval_samples_per_second": 213.141,
|
| 487 |
+
"eval_steps_per_second": 6.667,
|
| 488 |
+
"step": 32000
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 1.12,
|
| 492 |
+
"learning_rate": 1.252717391304348e-05,
|
| 493 |
+
"loss": 0.3753,
|
| 494 |
+
"step": 33000
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 1.12,
|
| 498 |
+
"eval_accuracy": 0.8052980132450331,
|
| 499 |
+
"eval_loss": 0.5171676278114319,
|
| 500 |
+
"eval_runtime": 45.8652,
|
| 501 |
+
"eval_samples_per_second": 213.997,
|
| 502 |
+
"eval_steps_per_second": 6.694,
|
| 503 |
+
"step": 33000
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 1.15,
|
| 507 |
+
"learning_rate": 1.2300724637681161e-05,
|
| 508 |
+
"loss": 0.367,
|
| 509 |
+
"step": 34000
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 1.15,
|
| 513 |
+
"eval_accuracy": 0.8052980132450331,
|
| 514 |
+
"eval_loss": 0.5187755823135376,
|
| 515 |
+
"eval_runtime": 45.7807,
|
| 516 |
+
"eval_samples_per_second": 214.391,
|
| 517 |
+
"eval_steps_per_second": 6.706,
|
| 518 |
+
"step": 34000
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 1.19,
|
| 522 |
+
"learning_rate": 1.2074275362318842e-05,
|
| 523 |
+
"loss": 0.3819,
|
| 524 |
+
"step": 35000
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 1.19,
|
| 528 |
+
"eval_accuracy": 0.8045848191543555,
|
| 529 |
+
"eval_loss": 0.5218426585197449,
|
| 530 |
+
"eval_runtime": 46.9682,
|
| 531 |
+
"eval_samples_per_second": 208.971,
|
| 532 |
+
"eval_steps_per_second": 6.536,
|
| 533 |
+
"step": 35000
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 1.22,
|
| 537 |
+
"learning_rate": 1.1847826086956522e-05,
|
| 538 |
+
"loss": 0.363,
|
| 539 |
+
"step": 36000
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 1.22,
|
| 543 |
+
"eval_accuracy": 0.7992868059093224,
|
| 544 |
+
"eval_loss": 0.5201919078826904,
|
| 545 |
+
"eval_runtime": 46.028,
|
| 546 |
+
"eval_samples_per_second": 213.24,
|
| 547 |
+
"eval_steps_per_second": 6.67,
|
| 548 |
+
"step": 36000
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 1.26,
|
| 552 |
+
"learning_rate": 1.1621376811594205e-05,
|
| 553 |
+
"loss": 0.3794,
|
| 554 |
+
"step": 37000
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 1.26,
|
| 558 |
+
"eval_accuracy": 0.8047885888945492,
|
| 559 |
+
"eval_loss": 0.5240486860275269,
|
| 560 |
+
"eval_runtime": 46.0171,
|
| 561 |
+
"eval_samples_per_second": 213.29,
|
| 562 |
+
"eval_steps_per_second": 6.671,
|
| 563 |
+
"step": 37000
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.29,
|
| 567 |
+
"learning_rate": 1.1394927536231885e-05,
|
| 568 |
+
"loss": 0.3749,
|
| 569 |
+
"step": 38000
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 1.29,
|
| 573 |
+
"eval_accuracy": 0.8053998981151299,
|
| 574 |
+
"eval_loss": 0.5025837421417236,
|
| 575 |
+
"eval_runtime": 45.9936,
|
| 576 |
+
"eval_samples_per_second": 213.399,
|
| 577 |
+
"eval_steps_per_second": 6.675,
|
| 578 |
+
"step": 38000
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 1.32,
|
| 582 |
+
"learning_rate": 1.1168478260869566e-05,
|
| 583 |
+
"loss": 0.367,
|
| 584 |
+
"step": 39000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.32,
|
| 588 |
+
"eval_accuracy": 0.8075394803871625,
|
| 589 |
+
"eval_loss": 0.5197691917419434,
|
| 590 |
+
"eval_runtime": 46.0223,
|
| 591 |
+
"eval_samples_per_second": 213.266,
|
| 592 |
+
"eval_steps_per_second": 6.671,
|
| 593 |
+
"step": 39000
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 1.36,
|
| 597 |
+
"learning_rate": 1.0942028985507247e-05,
|
| 598 |
+
"loss": 0.3759,
|
| 599 |
+
"step": 40000
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 1.36,
|
| 603 |
+
"eval_accuracy": 0.7992868059093224,
|
| 604 |
+
"eval_loss": 0.5298164486885071,
|
| 605 |
+
"eval_runtime": 46.0659,
|
| 606 |
+
"eval_samples_per_second": 213.064,
|
| 607 |
+
"eval_steps_per_second": 6.664,
|
| 608 |
+
"step": 40000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 1.39,
|
| 612 |
+
"learning_rate": 1.0715579710144927e-05,
|
| 613 |
+
"loss": 0.3701,
|
| 614 |
+
"step": 41000
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 1.39,
|
| 618 |
+
"eval_accuracy": 0.8090677534386144,
|
| 619 |
+
"eval_loss": 0.5072407722473145,
|
| 620 |
+
"eval_runtime": 47.2083,
|
| 621 |
+
"eval_samples_per_second": 207.908,
|
| 622 |
+
"eval_steps_per_second": 6.503,
|
| 623 |
+
"step": 41000
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 1.43,
|
| 627 |
+
"learning_rate": 1.0489130434782611e-05,
|
| 628 |
+
"loss": 0.3742,
|
| 629 |
+
"step": 42000
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 1.43,
|
| 633 |
+
"eval_accuracy": 0.8097809475292919,
|
| 634 |
+
"eval_loss": 0.507131814956665,
|
| 635 |
+
"eval_runtime": 46.0803,
|
| 636 |
+
"eval_samples_per_second": 212.998,
|
| 637 |
+
"eval_steps_per_second": 6.662,
|
| 638 |
+
"step": 42000
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 1.46,
|
| 642 |
+
"learning_rate": 1.0262681159420292e-05,
|
| 643 |
+
"loss": 0.3706,
|
| 644 |
+
"step": 43000
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 1.46,
|
| 648 |
+
"eval_accuracy": 0.8036678553234845,
|
| 649 |
+
"eval_loss": 0.5317161083221436,
|
| 650 |
+
"eval_runtime": 46.1098,
|
| 651 |
+
"eval_samples_per_second": 212.861,
|
| 652 |
+
"eval_steps_per_second": 6.658,
|
| 653 |
+
"step": 43000
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 1.49,
|
| 657 |
+
"learning_rate": 1.0036231884057972e-05,
|
| 658 |
+
"loss": 0.3716,
|
| 659 |
+
"step": 44000
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 1.49,
|
| 663 |
+
"eval_accuracy": 0.8051961283749364,
|
| 664 |
+
"eval_loss": 0.5034372210502625,
|
| 665 |
+
"eval_runtime": 46.0657,
|
| 666 |
+
"eval_samples_per_second": 213.065,
|
| 667 |
+
"eval_steps_per_second": 6.664,
|
| 668 |
+
"step": 44000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.53,
|
| 672 |
+
"learning_rate": 9.809782608695653e-06,
|
| 673 |
+
"loss": 0.3717,
|
| 674 |
+
"step": 45000
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 1.53,
|
| 678 |
+
"eval_accuracy": 0.8012226184411615,
|
| 679 |
+
"eval_loss": 0.525775671005249,
|
| 680 |
+
"eval_runtime": 45.917,
|
| 681 |
+
"eval_samples_per_second": 213.755,
|
| 682 |
+
"eval_steps_per_second": 6.686,
|
| 683 |
+
"step": 45000
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 1.56,
|
| 687 |
+
"learning_rate": 9.583333333333335e-06,
|
| 688 |
+
"loss": 0.3714,
|
| 689 |
+
"step": 46000
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.56,
|
| 693 |
+
"eval_accuracy": 0.8049923586347427,
|
| 694 |
+
"eval_loss": 0.5195213556289673,
|
| 695 |
+
"eval_runtime": 46.0299,
|
| 696 |
+
"eval_samples_per_second": 213.231,
|
| 697 |
+
"eval_steps_per_second": 6.67,
|
| 698 |
+
"step": 46000
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 1.6,
|
| 702 |
+
"learning_rate": 9.356884057971016e-06,
|
| 703 |
+
"loss": 0.3781,
|
| 704 |
+
"step": 47000
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 1.6,
|
| 708 |
+
"eval_accuracy": 0.8103922567498727,
|
| 709 |
+
"eval_loss": 0.5003909468650818,
|
| 710 |
+
"eval_runtime": 46.0896,
|
| 711 |
+
"eval_samples_per_second": 212.955,
|
| 712 |
+
"eval_steps_per_second": 6.661,
|
| 713 |
+
"step": 47000
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 1.63,
|
| 717 |
+
"learning_rate": 9.130434782608697e-06,
|
| 718 |
+
"loss": 0.3725,
|
| 719 |
+
"step": 48000
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 1.63,
|
| 723 |
+
"eval_accuracy": 0.8113092205807437,
|
| 724 |
+
"eval_loss": 0.5124202966690063,
|
| 725 |
+
"eval_runtime": 46.0326,
|
| 726 |
+
"eval_samples_per_second": 213.218,
|
| 727 |
+
"eval_steps_per_second": 6.669,
|
| 728 |
+
"step": 48000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 1.66,
|
| 732 |
+
"learning_rate": 8.903985507246377e-06,
|
| 733 |
+
"loss": 0.3624,
|
| 734 |
+
"step": 49000
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 1.66,
|
| 738 |
+
"eval_accuracy": 0.8093734080489048,
|
| 739 |
+
"eval_loss": 0.5039945840835571,
|
| 740 |
+
"eval_runtime": 46.0265,
|
| 741 |
+
"eval_samples_per_second": 213.247,
|
| 742 |
+
"eval_steps_per_second": 6.67,
|
| 743 |
+
"step": 49000
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 1.7,
|
| 747 |
+
"learning_rate": 8.677536231884058e-06,
|
| 748 |
+
"loss": 0.3657,
|
| 749 |
+
"step": 50000
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 1.7,
|
| 753 |
+
"eval_accuracy": 0.8111054508405502,
|
| 754 |
+
"eval_loss": 0.49794963002204895,
|
| 755 |
+
"eval_runtime": 46.0671,
|
| 756 |
+
"eval_samples_per_second": 213.059,
|
| 757 |
+
"eval_steps_per_second": 6.664,
|
| 758 |
+
"step": 50000
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 1.73,
|
| 762 |
+
"learning_rate": 8.45108695652174e-06,
|
| 763 |
+
"loss": 0.3669,
|
| 764 |
+
"step": 51000
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 1.73,
|
| 768 |
+
"eval_accuracy": 0.8099847172694855,
|
| 769 |
+
"eval_loss": 0.4967914819717407,
|
| 770 |
+
"eval_runtime": 47.5013,
|
| 771 |
+
"eval_samples_per_second": 206.626,
|
| 772 |
+
"eval_steps_per_second": 6.463,
|
| 773 |
+
"step": 51000
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.77,
|
| 777 |
+
"learning_rate": 8.22463768115942e-06,
|
| 778 |
+
"loss": 0.3636,
|
| 779 |
+
"step": 52000
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 1.77,
|
| 783 |
+
"eval_accuracy": 0.8079470198675497,
|
| 784 |
+
"eval_loss": 0.5075203776359558,
|
| 785 |
+
"eval_runtime": 45.998,
|
| 786 |
+
"eval_samples_per_second": 213.379,
|
| 787 |
+
"eval_steps_per_second": 6.674,
|
| 788 |
+
"step": 52000
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 1.8,
|
| 792 |
+
"learning_rate": 7.998188405797103e-06,
|
| 793 |
+
"loss": 0.36,
|
| 794 |
+
"step": 53000
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.8,
|
| 798 |
+
"eval_accuracy": 0.8110035659704534,
|
| 799 |
+
"eval_loss": 0.498517245054245,
|
| 800 |
+
"eval_runtime": 46.2214,
|
| 801 |
+
"eval_samples_per_second": 212.347,
|
| 802 |
+
"eval_steps_per_second": 6.642,
|
| 803 |
+
"step": 53000
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 1.83,
|
| 807 |
+
"learning_rate": 7.771739130434784e-06,
|
| 808 |
+
"loss": 0.3624,
|
| 809 |
+
"step": 54000
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 1.83,
|
| 813 |
+
"eval_accuracy": 0.8070300560366785,
|
| 814 |
+
"eval_loss": 0.5125023722648621,
|
| 815 |
+
"eval_runtime": 46.2947,
|
| 816 |
+
"eval_samples_per_second": 212.011,
|
| 817 |
+
"eval_steps_per_second": 6.631,
|
| 818 |
+
"step": 54000
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 1.87,
|
| 822 |
+
"learning_rate": 7.545289855072464e-06,
|
| 823 |
+
"loss": 0.366,
|
| 824 |
+
"step": 55000
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 1.87,
|
| 828 |
+
"eval_accuracy": 0.8117167600611309,
|
| 829 |
+
"eval_loss": 0.4918198585510254,
|
| 830 |
+
"eval_runtime": 46.0126,
|
| 831 |
+
"eval_samples_per_second": 213.311,
|
| 832 |
+
"eval_steps_per_second": 6.672,
|
| 833 |
+
"step": 55000
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 1.9,
|
| 837 |
+
"learning_rate": 7.318840579710146e-06,
|
| 838 |
+
"loss": 0.3655,
|
| 839 |
+
"step": 56000
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 1.9,
|
| 843 |
+
"eval_accuracy": 0.8109016811003565,
|
| 844 |
+
"eval_loss": 0.505085289478302,
|
| 845 |
+
"eval_runtime": 46.0789,
|
| 846 |
+
"eval_samples_per_second": 213.004,
|
| 847 |
+
"eval_steps_per_second": 6.662,
|
| 848 |
+
"step": 56000
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 1.94,
|
| 852 |
+
"learning_rate": 7.092391304347826e-06,
|
| 853 |
+
"loss": 0.3609,
|
| 854 |
+
"step": 57000
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 1.94,
|
| 858 |
+
"eval_accuracy": 0.8104941416199695,
|
| 859 |
+
"eval_loss": 0.5082952976226807,
|
| 860 |
+
"eval_runtime": 46.1283,
|
| 861 |
+
"eval_samples_per_second": 212.776,
|
| 862 |
+
"eval_steps_per_second": 6.655,
|
| 863 |
+
"step": 57000
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 1.97,
|
| 867 |
+
"learning_rate": 6.865942028985509e-06,
|
| 868 |
+
"loss": 0.3672,
|
| 869 |
+
"step": 58000
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"epoch": 1.97,
|
| 873 |
+
"eval_accuracy": 0.8084564442180336,
|
| 874 |
+
"eval_loss": 0.5128825902938843,
|
| 875 |
+
"eval_runtime": 46.1412,
|
| 876 |
+
"eval_samples_per_second": 212.717,
|
| 877 |
+
"eval_steps_per_second": 6.653,
|
| 878 |
+
"step": 58000
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 2.0,
|
| 882 |
+
"learning_rate": 6.639492753623189e-06,
|
| 883 |
+
"loss": 0.3545,
|
| 884 |
+
"step": 59000
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 2.0,
|
| 888 |
+
"eval_accuracy": 0.8109016811003565,
|
| 889 |
+
"eval_loss": 0.5467332601547241,
|
| 890 |
+
"eval_runtime": 46.0619,
|
| 891 |
+
"eval_samples_per_second": 213.083,
|
| 892 |
+
"eval_steps_per_second": 6.665,
|
| 893 |
+
"step": 59000
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 2.04,
|
| 897 |
+
"learning_rate": 6.41304347826087e-06,
|
| 898 |
+
"loss": 0.2938,
|
| 899 |
+
"step": 60000
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 2.04,
|
| 903 |
+
"eval_accuracy": 0.804890473764646,
|
| 904 |
+
"eval_loss": 0.5634797811508179,
|
| 905 |
+
"eval_runtime": 46.0511,
|
| 906 |
+
"eval_samples_per_second": 213.133,
|
| 907 |
+
"eval_steps_per_second": 6.667,
|
| 908 |
+
"step": 60000
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 2.07,
|
| 912 |
+
"learning_rate": 6.186594202898551e-06,
|
| 913 |
+
"loss": 0.29,
|
| 914 |
+
"step": 61000
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 2.07,
|
| 918 |
+
"eval_accuracy": 0.8040753948038716,
|
| 919 |
+
"eval_loss": 0.5781472325325012,
|
| 920 |
+
"eval_runtime": 47.2218,
|
| 921 |
+
"eval_samples_per_second": 207.849,
|
| 922 |
+
"eval_steps_per_second": 6.501,
|
| 923 |
+
"step": 61000
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 2.11,
|
| 927 |
+
"learning_rate": 5.960144927536232e-06,
|
| 928 |
+
"loss": 0.2992,
|
| 929 |
+
"step": 62000
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 2.11,
|
| 933 |
+
"eval_accuracy": 0.807743250127356,
|
| 934 |
+
"eval_loss": 0.5470119714736938,
|
| 935 |
+
"eval_runtime": 46.0932,
|
| 936 |
+
"eval_samples_per_second": 212.938,
|
| 937 |
+
"eval_steps_per_second": 6.66,
|
| 938 |
+
"step": 62000
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 2.14,
|
| 942 |
+
"learning_rate": 5.733695652173914e-06,
|
| 943 |
+
"loss": 0.2957,
|
| 944 |
+
"step": 63000
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 2.14,
|
| 948 |
+
"eval_accuracy": 0.807335710646969,
|
| 949 |
+
"eval_loss": 0.5764774084091187,
|
| 950 |
+
"eval_runtime": 45.9878,
|
| 951 |
+
"eval_samples_per_second": 213.426,
|
| 952 |
+
"eval_steps_per_second": 6.676,
|
| 953 |
+
"step": 63000
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 2.17,
|
| 957 |
+
"learning_rate": 5.507246376811595e-06,
|
| 958 |
+
"loss": 0.292,
|
| 959 |
+
"step": 64000
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 2.17,
|
| 963 |
+
"eval_accuracy": 0.8105960264900662,
|
| 964 |
+
"eval_loss": 0.547173798084259,
|
| 965 |
+
"eval_runtime": 45.972,
|
| 966 |
+
"eval_samples_per_second": 213.5,
|
| 967 |
+
"eval_steps_per_second": 6.678,
|
| 968 |
+
"step": 64000
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 2.21,
|
| 972 |
+
"learning_rate": 5.2807971014492755e-06,
|
| 973 |
+
"loss": 0.2893,
|
| 974 |
+
"step": 65000
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 2.21,
|
| 978 |
+
"eval_accuracy": 0.8084564442180336,
|
| 979 |
+
"eval_loss": 0.5590358376502991,
|
| 980 |
+
"eval_runtime": 45.9212,
|
| 981 |
+
"eval_samples_per_second": 213.736,
|
| 982 |
+
"eval_steps_per_second": 6.685,
|
| 983 |
+
"step": 65000
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 2.24,
|
| 987 |
+
"learning_rate": 5.054347826086957e-06,
|
| 988 |
+
"loss": 0.2883,
|
| 989 |
+
"step": 66000
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 2.24,
|
| 993 |
+
"eval_accuracy": 0.8064187468160978,
|
| 994 |
+
"eval_loss": 0.5534654855728149,
|
| 995 |
+
"eval_runtime": 45.9485,
|
| 996 |
+
"eval_samples_per_second": 213.609,
|
| 997 |
+
"eval_steps_per_second": 6.681,
|
| 998 |
+
"step": 66000
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 2.28,
|
| 1002 |
+
"learning_rate": 4.8278985507246375e-06,
|
| 1003 |
+
"loss": 0.2923,
|
| 1004 |
+
"step": 67000
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 2.28,
|
| 1008 |
+
"eval_accuracy": 0.8094752929190016,
|
| 1009 |
+
"eval_loss": 0.5508309602737427,
|
| 1010 |
+
"eval_runtime": 45.9406,
|
| 1011 |
+
"eval_samples_per_second": 213.645,
|
| 1012 |
+
"eval_steps_per_second": 6.683,
|
| 1013 |
+
"step": 67000
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 2.31,
|
| 1017 |
+
"learning_rate": 4.601449275362319e-06,
|
| 1018 |
+
"loss": 0.2868,
|
| 1019 |
+
"step": 68000
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 2.31,
|
| 1023 |
+
"eval_accuracy": 0.8097809475292919,
|
| 1024 |
+
"eval_loss": 0.5678631067276001,
|
| 1025 |
+
"eval_runtime": 45.9005,
|
| 1026 |
+
"eval_samples_per_second": 213.832,
|
| 1027 |
+
"eval_steps_per_second": 6.688,
|
| 1028 |
+
"step": 68000
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 2.34,
|
| 1032 |
+
"learning_rate": 4.3750000000000005e-06,
|
| 1033 |
+
"loss": 0.2892,
|
| 1034 |
+
"step": 69000
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 2.34,
|
| 1038 |
+
"eval_accuracy": 0.8057055527254203,
|
| 1039 |
+
"eval_loss": 0.5659688115119934,
|
| 1040 |
+
"eval_runtime": 46.0172,
|
| 1041 |
+
"eval_samples_per_second": 213.29,
|
| 1042 |
+
"eval_steps_per_second": 6.671,
|
| 1043 |
+
"step": 69000
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 2.38,
|
| 1047 |
+
"learning_rate": 4.148550724637682e-06,
|
| 1048 |
+
"loss": 0.292,
|
| 1049 |
+
"step": 70000
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 2.38,
|
| 1053 |
+
"eval_accuracy": 0.808762098828324,
|
| 1054 |
+
"eval_loss": 0.54941326379776,
|
| 1055 |
+
"eval_runtime": 46.0397,
|
| 1056 |
+
"eval_samples_per_second": 213.186,
|
| 1057 |
+
"eval_steps_per_second": 6.668,
|
| 1058 |
+
"step": 70000
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 2.41,
|
| 1062 |
+
"learning_rate": 3.9221014492753625e-06,
|
| 1063 |
+
"loss": 0.286,
|
| 1064 |
+
"step": 71000
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 2.41,
|
| 1068 |
+
"eval_accuracy": 0.8084564442180336,
|
| 1069 |
+
"eval_loss": 0.5653256177902222,
|
| 1070 |
+
"eval_runtime": 47.1102,
|
| 1071 |
+
"eval_samples_per_second": 208.341,
|
| 1072 |
+
"eval_steps_per_second": 6.517,
|
| 1073 |
+
"step": 71000
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 2.45,
|
| 1077 |
+
"learning_rate": 3.6956521739130436e-06,
|
| 1078 |
+
"loss": 0.2939,
|
| 1079 |
+
"step": 72000
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 2.45,
|
| 1083 |
+
"eval_accuracy": 0.8070300560366785,
|
| 1084 |
+
"eval_loss": 0.5673069953918457,
|
| 1085 |
+
"eval_runtime": 46.0492,
|
| 1086 |
+
"eval_samples_per_second": 213.142,
|
| 1087 |
+
"eval_steps_per_second": 6.667,
|
| 1088 |
+
"step": 72000
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 2.48,
|
| 1092 |
+
"learning_rate": 3.4692028985507246e-06,
|
| 1093 |
+
"loss": 0.286,
|
| 1094 |
+
"step": 73000
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 2.48,
|
| 1098 |
+
"eval_accuracy": 0.8091696383087111,
|
| 1099 |
+
"eval_loss": 0.56004798412323,
|
| 1100 |
+
"eval_runtime": 45.9369,
|
| 1101 |
+
"eval_samples_per_second": 213.663,
|
| 1102 |
+
"eval_steps_per_second": 6.683,
|
| 1103 |
+
"step": 73000
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 2.51,
|
| 1107 |
+
"learning_rate": 3.242753623188406e-06,
|
| 1108 |
+
"loss": 0.2844,
|
| 1109 |
+
"step": 74000
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 2.51,
|
| 1113 |
+
"eval_accuracy": 0.8094752929190016,
|
| 1114 |
+
"eval_loss": 0.5507674217224121,
|
| 1115 |
+
"eval_runtime": 45.8631,
|
| 1116 |
+
"eval_samples_per_second": 214.006,
|
| 1117 |
+
"eval_steps_per_second": 6.694,
|
| 1118 |
+
"step": 74000
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 2.55,
|
| 1122 |
+
"learning_rate": 3.016304347826087e-06,
|
| 1123 |
+
"loss": 0.2913,
|
| 1124 |
+
"step": 75000
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.55,
|
| 1128 |
+
"eval_accuracy": 0.808762098828324,
|
| 1129 |
+
"eval_loss": 0.5644803047180176,
|
| 1130 |
+
"eval_runtime": 45.9087,
|
| 1131 |
+
"eval_samples_per_second": 213.794,
|
| 1132 |
+
"eval_steps_per_second": 6.687,
|
| 1133 |
+
"step": 75000
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 2.58,
|
| 1137 |
+
"learning_rate": 2.7898550724637686e-06,
|
| 1138 |
+
"loss": 0.2859,
|
| 1139 |
+
"step": 76000
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 2.58,
|
| 1143 |
+
"eval_accuracy": 0.8094752929190016,
|
| 1144 |
+
"eval_loss": 0.5677375197410583,
|
| 1145 |
+
"eval_runtime": 46.1274,
|
| 1146 |
+
"eval_samples_per_second": 212.78,
|
| 1147 |
+
"eval_steps_per_second": 6.655,
|
| 1148 |
+
"step": 76000
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 2.62,
|
| 1152 |
+
"learning_rate": 2.563405797101449e-06,
|
| 1153 |
+
"loss": 0.2892,
|
| 1154 |
+
"step": 77000
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 2.62,
|
| 1158 |
+
"eval_accuracy": 0.8113092205807437,
|
| 1159 |
+
"eval_loss": 0.5597835183143616,
|
| 1160 |
+
"eval_runtime": 46.0994,
|
| 1161 |
+
"eval_samples_per_second": 212.909,
|
| 1162 |
+
"eval_steps_per_second": 6.66,
|
| 1163 |
+
"step": 77000
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 2.65,
|
| 1167 |
+
"learning_rate": 2.3369565217391307e-06,
|
| 1168 |
+
"loss": 0.2898,
|
| 1169 |
+
"step": 78000
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 2.65,
|
| 1173 |
+
"eval_accuracy": 0.8095771777890983,
|
| 1174 |
+
"eval_loss": 0.5617640018463135,
|
| 1175 |
+
"eval_runtime": 45.9468,
|
| 1176 |
+
"eval_samples_per_second": 213.617,
|
| 1177 |
+
"eval_steps_per_second": 6.682,
|
| 1178 |
+
"step": 78000
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 2.68,
|
| 1182 |
+
"learning_rate": 2.1105072463768117e-06,
|
| 1183 |
+
"loss": 0.2814,
|
| 1184 |
+
"step": 79000
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 2.68,
|
| 1188 |
+
"eval_accuracy": 0.8102903718797758,
|
| 1189 |
+
"eval_loss": 0.5664277672767639,
|
| 1190 |
+
"eval_runtime": 46.0837,
|
| 1191 |
+
"eval_samples_per_second": 212.982,
|
| 1192 |
+
"eval_steps_per_second": 6.662,
|
| 1193 |
+
"step": 79000
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 2.72,
|
| 1197 |
+
"learning_rate": 1.884057971014493e-06,
|
| 1198 |
+
"loss": 0.2917,
|
| 1199 |
+
"step": 80000
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 2.72,
|
| 1203 |
+
"eval_accuracy": 0.8122261844116149,
|
| 1204 |
+
"eval_loss": 0.5484075546264648,
|
| 1205 |
+
"eval_runtime": 46.0805,
|
| 1206 |
+
"eval_samples_per_second": 212.997,
|
| 1207 |
+
"eval_steps_per_second": 6.662,
|
| 1208 |
+
"step": 80000
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.75,
|
| 1212 |
+
"learning_rate": 1.657608695652174e-06,
|
| 1213 |
+
"loss": 0.2907,
|
| 1214 |
+
"step": 81000
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 2.75,
|
| 1218 |
+
"eval_accuracy": 0.8116148751910341,
|
| 1219 |
+
"eval_loss": 0.5522238612174988,
|
| 1220 |
+
"eval_runtime": 47.1215,
|
| 1221 |
+
"eval_samples_per_second": 208.291,
|
| 1222 |
+
"eval_steps_per_second": 6.515,
|
| 1223 |
+
"step": 81000
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 2.79,
|
| 1227 |
+
"learning_rate": 1.4311594202898552e-06,
|
| 1228 |
+
"loss": 0.2896,
|
| 1229 |
+
"step": 82000
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 2.79,
|
| 1233 |
+
"eval_accuracy": 0.8092715231788079,
|
| 1234 |
+
"eval_loss": 0.5539634823799133,
|
| 1235 |
+
"eval_runtime": 46.0412,
|
| 1236 |
+
"eval_samples_per_second": 213.179,
|
| 1237 |
+
"eval_steps_per_second": 6.668,
|
| 1238 |
+
"step": 82000
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 2.82,
|
| 1242 |
+
"learning_rate": 1.2047101449275363e-06,
|
| 1243 |
+
"loss": 0.2907,
|
| 1244 |
+
"step": 83000
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 2.82,
|
| 1248 |
+
"eval_accuracy": 0.8103922567498727,
|
| 1249 |
+
"eval_loss": 0.5468757152557373,
|
| 1250 |
+
"eval_runtime": 46.1268,
|
| 1251 |
+
"eval_samples_per_second": 212.783,
|
| 1252 |
+
"eval_steps_per_second": 6.656,
|
| 1253 |
+
"step": 83000
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 2.85,
|
| 1257 |
+
"learning_rate": 9.782608695652175e-07,
|
| 1258 |
+
"loss": 0.2882,
|
| 1259 |
+
"step": 84000
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 2.85,
|
| 1263 |
+
"eval_accuracy": 0.8122261844116149,
|
| 1264 |
+
"eval_loss": 0.5470659732818604,
|
| 1265 |
+
"eval_runtime": 46.0408,
|
| 1266 |
+
"eval_samples_per_second": 213.18,
|
| 1267 |
+
"eval_steps_per_second": 6.668,
|
| 1268 |
+
"step": 84000
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 2.89,
|
| 1272 |
+
"learning_rate": 7.518115942028987e-07,
|
| 1273 |
+
"loss": 0.2878,
|
| 1274 |
+
"step": 85000
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 2.89,
|
| 1278 |
+
"eval_accuracy": 0.8107997962302598,
|
| 1279 |
+
"eval_loss": 0.5532234907150269,
|
| 1280 |
+
"eval_runtime": 46.1642,
|
| 1281 |
+
"eval_samples_per_second": 212.61,
|
| 1282 |
+
"eval_steps_per_second": 6.65,
|
| 1283 |
+
"step": 85000
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 2.92,
|
| 1287 |
+
"learning_rate": 5.253623188405797e-07,
|
| 1288 |
+
"loss": 0.2858,
|
| 1289 |
+
"step": 86000
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 2.92,
|
| 1293 |
+
"eval_accuracy": 0.8115129903209374,
|
| 1294 |
+
"eval_loss": 0.5510849952697754,
|
| 1295 |
+
"eval_runtime": 46.0337,
|
| 1296 |
+
"eval_samples_per_second": 213.214,
|
| 1297 |
+
"eval_steps_per_second": 6.669,
|
| 1298 |
+
"step": 86000
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 2.96,
|
| 1302 |
+
"learning_rate": 2.989130434782609e-07,
|
| 1303 |
+
"loss": 0.288,
|
| 1304 |
+
"step": 87000
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 2.96,
|
| 1308 |
+
"eval_accuracy": 0.8111054508405502,
|
| 1309 |
+
"eval_loss": 0.5491093397140503,
|
| 1310 |
+
"eval_runtime": 45.9486,
|
| 1311 |
+
"eval_samples_per_second": 213.608,
|
| 1312 |
+
"eval_steps_per_second": 6.681,
|
| 1313 |
+
"step": 87000
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 2.99,
|
| 1317 |
+
"learning_rate": 7.246376811594204e-08,
|
| 1318 |
+
"loss": 0.2834,
|
| 1319 |
+
"step": 88000
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 2.99,
|
| 1323 |
+
"eval_accuracy": 0.8111054508405502,
|
| 1324 |
+
"eval_loss": 0.5540585517883301,
|
| 1325 |
+
"eval_runtime": 45.8903,
|
| 1326 |
+
"eval_samples_per_second": 213.879,
|
| 1327 |
+
"eval_steps_per_second": 6.69,
|
| 1328 |
+
"step": 88000
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 3.0,
|
| 1332 |
+
"step": 88320,
|
| 1333 |
+
"total_flos": 9.711893491230248e+16,
|
| 1334 |
+
"train_loss": 0.3844692539477694,
|
| 1335 |
+
"train_runtime": 45994.9721,
|
| 1336 |
+
"train_samples_per_second": 61.446,
|
| 1337 |
+
"train_steps_per_second": 1.92
|
| 1338 |
+
}
|
| 1339 |
+
],
|
| 1340 |
+
"max_steps": 88320,
|
| 1341 |
+
"num_train_epochs": 3,
|
| 1342 |
+
"total_flos": 9.711893491230248e+16,
|
| 1343 |
+
"trial_name": null,
|
| 1344 |
+
"trial_params": null
|
| 1345 |
+
}
|