Commit
·
2d8ff54
1
Parent(s):
68740ac
YAY!!
Browse files- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Sep03_13-50-57_bce1c210d1c4/events.out.tfevents.1662217805.bce1c210d1c4.71.6 +3 -0
- train_results.json +8 -0
- trainer_state.json +2320 -0
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.9436769394261424,
|
| 4 |
+
"eval_loss": 0.2909798324108124,
|
| 5 |
+
"eval_runtime": 42.3883,
|
| 6 |
+
"eval_samples_per_second": 22.2,
|
| 7 |
+
"eval_steps_per_second": 2.784,
|
| 8 |
+
"total_flos": 4.175139032456233e+18,
|
| 9 |
+
"train_loss": 0.31485966012642547,
|
| 10 |
+
"train_runtime": 4358.8867,
|
| 11 |
+
"train_samples_per_second": 12.223,
|
| 12 |
+
"train_steps_per_second": 0.764
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.9436769394261424,
|
| 4 |
+
"eval_loss": 0.2909798324108124,
|
| 5 |
+
"eval_runtime": 42.3883,
|
| 6 |
+
"eval_samples_per_second": 22.2,
|
| 7 |
+
"eval_steps_per_second": 2.784
|
| 8 |
+
}
|
runs/Sep03_13-50-57_bce1c210d1c4/events.out.tfevents.1662217805.bce1c210d1c4.71.6
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc4f8dda864776a56ac533d362ae738cb5b2dfaf181e4f9cf00fec85f42e617a
|
| 3 |
+
size 363
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"total_flos": 4.175139032456233e+18,
|
| 4 |
+
"train_loss": 0.31485966012642547,
|
| 5 |
+
"train_runtime": 4358.8867,
|
| 6 |
+
"train_samples_per_second": 12.223,
|
| 7 |
+
"train_steps_per_second": 0.764
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2320 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.2909798324108124,
|
| 3 |
+
"best_model_checkpoint": "DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3300",
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"global_step": 3330,
|
| 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": 0.00019951951951951952,
|
| 13 |
+
"loss": 2.6877,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.06,
|
| 18 |
+
"learning_rate": 0.00019891891891891895,
|
| 19 |
+
"loss": 1.414,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.09,
|
| 24 |
+
"learning_rate": 0.00019831831831831833,
|
| 25 |
+
"loss": 0.9319,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.12,
|
| 30 |
+
"learning_rate": 0.00019771771771771773,
|
| 31 |
+
"loss": 0.7099,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.15,
|
| 36 |
+
"learning_rate": 0.00019711711711711713,
|
| 37 |
+
"loss": 0.9566,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.18,
|
| 42 |
+
"learning_rate": 0.00019651651651651653,
|
| 43 |
+
"loss": 0.8187,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.21,
|
| 48 |
+
"learning_rate": 0.000195975975975976,
|
| 49 |
+
"loss": 0.8349,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.24,
|
| 54 |
+
"learning_rate": 0.0001953753753753754,
|
| 55 |
+
"loss": 0.7547,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.27,
|
| 60 |
+
"learning_rate": 0.0001947747747747748,
|
| 61 |
+
"loss": 0.7049,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.3,
|
| 66 |
+
"learning_rate": 0.0001941741741741742,
|
| 67 |
+
"loss": 0.9511,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.3,
|
| 72 |
+
"eval_accuracy": 0.8172157279489904,
|
| 73 |
+
"eval_loss": 0.6092320680618286,
|
| 74 |
+
"eval_runtime": 41.8655,
|
| 75 |
+
"eval_samples_per_second": 22.477,
|
| 76 |
+
"eval_steps_per_second": 2.819,
|
| 77 |
+
"step": 100
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.33,
|
| 81 |
+
"learning_rate": 0.00019357357357357356,
|
| 82 |
+
"loss": 0.93,
|
| 83 |
+
"step": 110
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 0.36,
|
| 87 |
+
"learning_rate": 0.000192972972972973,
|
| 88 |
+
"loss": 0.7919,
|
| 89 |
+
"step": 120
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 0.39,
|
| 93 |
+
"learning_rate": 0.00019237237237237236,
|
| 94 |
+
"loss": 0.7467,
|
| 95 |
+
"step": 130
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.42,
|
| 99 |
+
"learning_rate": 0.0001917717717717718,
|
| 100 |
+
"loss": 0.6385,
|
| 101 |
+
"step": 140
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.45,
|
| 105 |
+
"learning_rate": 0.0001911711711711712,
|
| 106 |
+
"loss": 0.6259,
|
| 107 |
+
"step": 150
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.48,
|
| 111 |
+
"learning_rate": 0.00019057057057057057,
|
| 112 |
+
"loss": 0.6855,
|
| 113 |
+
"step": 160
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 0.51,
|
| 117 |
+
"learning_rate": 0.00018996996996997,
|
| 118 |
+
"loss": 0.7514,
|
| 119 |
+
"step": 170
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.54,
|
| 123 |
+
"learning_rate": 0.00018936936936936937,
|
| 124 |
+
"loss": 0.799,
|
| 125 |
+
"step": 180
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 0.57,
|
| 129 |
+
"learning_rate": 0.0001887687687687688,
|
| 130 |
+
"loss": 0.7728,
|
| 131 |
+
"step": 190
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.6,
|
| 135 |
+
"learning_rate": 0.00018816816816816817,
|
| 136 |
+
"loss": 0.6214,
|
| 137 |
+
"step": 200
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.6,
|
| 141 |
+
"eval_accuracy": 0.8671625929861849,
|
| 142 |
+
"eval_loss": 0.4405747056007385,
|
| 143 |
+
"eval_runtime": 42.025,
|
| 144 |
+
"eval_samples_per_second": 22.391,
|
| 145 |
+
"eval_steps_per_second": 2.808,
|
| 146 |
+
"step": 200
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.63,
|
| 150 |
+
"learning_rate": 0.00018756756756756757,
|
| 151 |
+
"loss": 0.696,
|
| 152 |
+
"step": 210
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.66,
|
| 156 |
+
"learning_rate": 0.00018696696696696697,
|
| 157 |
+
"loss": 0.8194,
|
| 158 |
+
"step": 220
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.69,
|
| 162 |
+
"learning_rate": 0.00018636636636636637,
|
| 163 |
+
"loss": 0.6639,
|
| 164 |
+
"step": 230
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.72,
|
| 168 |
+
"learning_rate": 0.00018576576576576577,
|
| 169 |
+
"loss": 0.6229,
|
| 170 |
+
"step": 240
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.75,
|
| 174 |
+
"learning_rate": 0.00018516516516516517,
|
| 175 |
+
"loss": 0.598,
|
| 176 |
+
"step": 250
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.78,
|
| 180 |
+
"learning_rate": 0.00018456456456456458,
|
| 181 |
+
"loss": 0.724,
|
| 182 |
+
"step": 260
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.81,
|
| 186 |
+
"learning_rate": 0.00018396396396396398,
|
| 187 |
+
"loss": 0.6808,
|
| 188 |
+
"step": 270
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.84,
|
| 192 |
+
"learning_rate": 0.00018336336336336338,
|
| 193 |
+
"loss": 0.9956,
|
| 194 |
+
"step": 280
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.87,
|
| 198 |
+
"learning_rate": 0.00018276276276276275,
|
| 199 |
+
"loss": 0.661,
|
| 200 |
+
"step": 290
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.9,
|
| 204 |
+
"learning_rate": 0.00018216216216216218,
|
| 205 |
+
"loss": 0.7355,
|
| 206 |
+
"step": 300
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.9,
|
| 210 |
+
"eval_accuracy": 0.8926673751328374,
|
| 211 |
+
"eval_loss": 0.3664906620979309,
|
| 212 |
+
"eval_runtime": 41.8476,
|
| 213 |
+
"eval_samples_per_second": 22.486,
|
| 214 |
+
"eval_steps_per_second": 2.82,
|
| 215 |
+
"step": 300
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.93,
|
| 219 |
+
"learning_rate": 0.00018156156156156155,
|
| 220 |
+
"loss": 0.7618,
|
| 221 |
+
"step": 310
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.96,
|
| 225 |
+
"learning_rate": 0.00018102102102102104,
|
| 226 |
+
"loss": 0.583,
|
| 227 |
+
"step": 320
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.99,
|
| 231 |
+
"learning_rate": 0.0001804204204204204,
|
| 232 |
+
"loss": 0.4483,
|
| 233 |
+
"step": 330
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.02,
|
| 237 |
+
"learning_rate": 0.00017981981981981984,
|
| 238 |
+
"loss": 0.553,
|
| 239 |
+
"step": 340
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 1.05,
|
| 243 |
+
"learning_rate": 0.0001792192192192192,
|
| 244 |
+
"loss": 0.6715,
|
| 245 |
+
"step": 350
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 1.08,
|
| 249 |
+
"learning_rate": 0.00017861861861861861,
|
| 250 |
+
"loss": 0.4049,
|
| 251 |
+
"step": 360
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 1.11,
|
| 255 |
+
"learning_rate": 0.00017801801801801804,
|
| 256 |
+
"loss": 0.2682,
|
| 257 |
+
"step": 370
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 1.14,
|
| 261 |
+
"learning_rate": 0.00017741741741741742,
|
| 262 |
+
"loss": 0.6865,
|
| 263 |
+
"step": 380
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.17,
|
| 267 |
+
"learning_rate": 0.00017681681681681684,
|
| 268 |
+
"loss": 0.6398,
|
| 269 |
+
"step": 390
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.2,
|
| 273 |
+
"learning_rate": 0.00017621621621621622,
|
| 274 |
+
"loss": 0.6078,
|
| 275 |
+
"step": 400
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.2,
|
| 279 |
+
"eval_accuracy": 0.9064824654622742,
|
| 280 |
+
"eval_loss": 0.3284536898136139,
|
| 281 |
+
"eval_runtime": 42.3721,
|
| 282 |
+
"eval_samples_per_second": 22.208,
|
| 283 |
+
"eval_steps_per_second": 2.785,
|
| 284 |
+
"step": 400
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.23,
|
| 288 |
+
"learning_rate": 0.00017561561561561562,
|
| 289 |
+
"loss": 0.4809,
|
| 290 |
+
"step": 410
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.26,
|
| 294 |
+
"learning_rate": 0.00017501501501501502,
|
| 295 |
+
"loss": 0.4514,
|
| 296 |
+
"step": 420
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.29,
|
| 300 |
+
"learning_rate": 0.00017441441441441442,
|
| 301 |
+
"loss": 0.4345,
|
| 302 |
+
"step": 430
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 1.32,
|
| 306 |
+
"learning_rate": 0.00017381381381381382,
|
| 307 |
+
"loss": 0.6553,
|
| 308 |
+
"step": 440
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 1.35,
|
| 312 |
+
"learning_rate": 0.00017321321321321322,
|
| 313 |
+
"loss": 0.509,
|
| 314 |
+
"step": 450
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 1.38,
|
| 318 |
+
"learning_rate": 0.00017261261261261262,
|
| 319 |
+
"loss": 0.7415,
|
| 320 |
+
"step": 460
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 1.41,
|
| 324 |
+
"learning_rate": 0.00017201201201201202,
|
| 325 |
+
"loss": 0.4097,
|
| 326 |
+
"step": 470
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 1.44,
|
| 330 |
+
"learning_rate": 0.00017141141141141142,
|
| 331 |
+
"loss": 0.5408,
|
| 332 |
+
"step": 480
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.47,
|
| 336 |
+
"learning_rate": 0.00017081081081081083,
|
| 337 |
+
"loss": 0.6177,
|
| 338 |
+
"step": 490
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.5,
|
| 342 |
+
"learning_rate": 0.00017021021021021023,
|
| 343 |
+
"loss": 0.439,
|
| 344 |
+
"step": 500
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 1.5,
|
| 348 |
+
"eval_accuracy": 0.8916046758767269,
|
| 349 |
+
"eval_loss": 0.3854953944683075,
|
| 350 |
+
"eval_runtime": 42.0098,
|
| 351 |
+
"eval_samples_per_second": 22.4,
|
| 352 |
+
"eval_steps_per_second": 2.809,
|
| 353 |
+
"step": 500
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.53,
|
| 357 |
+
"learning_rate": 0.0001696096096096096,
|
| 358 |
+
"loss": 0.5833,
|
| 359 |
+
"step": 510
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.56,
|
| 363 |
+
"learning_rate": 0.00016900900900900903,
|
| 364 |
+
"loss": 0.5769,
|
| 365 |
+
"step": 520
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 1.59,
|
| 369 |
+
"learning_rate": 0.0001684084084084084,
|
| 370 |
+
"loss": 0.6425,
|
| 371 |
+
"step": 530
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 1.62,
|
| 375 |
+
"learning_rate": 0.00016780780780780783,
|
| 376 |
+
"loss": 0.5285,
|
| 377 |
+
"step": 540
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 1.65,
|
| 381 |
+
"learning_rate": 0.00016720720720720723,
|
| 382 |
+
"loss": 0.3756,
|
| 383 |
+
"step": 550
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 1.68,
|
| 387 |
+
"learning_rate": 0.0001666066066066066,
|
| 388 |
+
"loss": 0.5905,
|
| 389 |
+
"step": 560
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 1.71,
|
| 393 |
+
"learning_rate": 0.00016600600600600603,
|
| 394 |
+
"loss": 0.5225,
|
| 395 |
+
"step": 570
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.74,
|
| 399 |
+
"learning_rate": 0.0001654054054054054,
|
| 400 |
+
"loss": 0.3937,
|
| 401 |
+
"step": 580
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.77,
|
| 405 |
+
"learning_rate": 0.0001648048048048048,
|
| 406 |
+
"loss": 0.6641,
|
| 407 |
+
"step": 590
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 1.8,
|
| 411 |
+
"learning_rate": 0.0001642042042042042,
|
| 412 |
+
"loss": 0.3644,
|
| 413 |
+
"step": 600
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 1.8,
|
| 417 |
+
"eval_accuracy": 0.8969181721572795,
|
| 418 |
+
"eval_loss": 0.40817153453826904,
|
| 419 |
+
"eval_runtime": 42.2201,
|
| 420 |
+
"eval_samples_per_second": 22.288,
|
| 421 |
+
"eval_steps_per_second": 2.795,
|
| 422 |
+
"step": 600
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.83,
|
| 426 |
+
"learning_rate": 0.0001636036036036036,
|
| 427 |
+
"loss": 0.3914,
|
| 428 |
+
"step": 610
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 1.86,
|
| 432 |
+
"learning_rate": 0.000163003003003003,
|
| 433 |
+
"loss": 0.5051,
|
| 434 |
+
"step": 620
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 1.89,
|
| 438 |
+
"learning_rate": 0.0001624024024024024,
|
| 439 |
+
"loss": 0.5306,
|
| 440 |
+
"step": 630
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 1.92,
|
| 444 |
+
"learning_rate": 0.0001618018018018018,
|
| 445 |
+
"loss": 0.492,
|
| 446 |
+
"step": 640
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 1.95,
|
| 450 |
+
"learning_rate": 0.0001612012012012012,
|
| 451 |
+
"loss": 0.4476,
|
| 452 |
+
"step": 650
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 1.98,
|
| 456 |
+
"learning_rate": 0.0001606006006006006,
|
| 457 |
+
"loss": 0.5976,
|
| 458 |
+
"step": 660
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 2.01,
|
| 462 |
+
"learning_rate": 0.00016,
|
| 463 |
+
"loss": 0.5336,
|
| 464 |
+
"step": 670
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.04,
|
| 468 |
+
"learning_rate": 0.00015939939939939941,
|
| 469 |
+
"loss": 0.5416,
|
| 470 |
+
"step": 680
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 2.07,
|
| 474 |
+
"learning_rate": 0.0001587987987987988,
|
| 475 |
+
"loss": 0.3908,
|
| 476 |
+
"step": 690
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.1,
|
| 480 |
+
"learning_rate": 0.00015819819819819822,
|
| 481 |
+
"loss": 0.4748,
|
| 482 |
+
"step": 700
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 2.1,
|
| 486 |
+
"eval_accuracy": 0.9022316684378321,
|
| 487 |
+
"eval_loss": 0.3496166467666626,
|
| 488 |
+
"eval_runtime": 42.0671,
|
| 489 |
+
"eval_samples_per_second": 22.369,
|
| 490 |
+
"eval_steps_per_second": 2.805,
|
| 491 |
+
"step": 700
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 2.13,
|
| 495 |
+
"learning_rate": 0.0001575975975975976,
|
| 496 |
+
"loss": 0.2206,
|
| 497 |
+
"step": 710
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 2.16,
|
| 501 |
+
"learning_rate": 0.00015699699699699702,
|
| 502 |
+
"loss": 0.3733,
|
| 503 |
+
"step": 720
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 2.19,
|
| 507 |
+
"learning_rate": 0.00015639639639639642,
|
| 508 |
+
"loss": 0.3506,
|
| 509 |
+
"step": 730
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 2.22,
|
| 513 |
+
"learning_rate": 0.0001557957957957958,
|
| 514 |
+
"loss": 0.2672,
|
| 515 |
+
"step": 740
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.25,
|
| 519 |
+
"learning_rate": 0.00015519519519519522,
|
| 520 |
+
"loss": 0.3588,
|
| 521 |
+
"step": 750
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 2.28,
|
| 525 |
+
"learning_rate": 0.0001545945945945946,
|
| 526 |
+
"loss": 0.3908,
|
| 527 |
+
"step": 760
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.31,
|
| 531 |
+
"learning_rate": 0.00015399399399399402,
|
| 532 |
+
"loss": 0.5611,
|
| 533 |
+
"step": 770
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 2.34,
|
| 537 |
+
"learning_rate": 0.0001533933933933934,
|
| 538 |
+
"loss": 0.4638,
|
| 539 |
+
"step": 780
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 2.37,
|
| 543 |
+
"learning_rate": 0.0001527927927927928,
|
| 544 |
+
"loss": 0.5441,
|
| 545 |
+
"step": 790
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 2.4,
|
| 549 |
+
"learning_rate": 0.0001521921921921922,
|
| 550 |
+
"loss": 0.3966,
|
| 551 |
+
"step": 800
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 2.4,
|
| 555 |
+
"eval_accuracy": 0.8905419766206164,
|
| 556 |
+
"eval_loss": 0.36262860894203186,
|
| 557 |
+
"eval_runtime": 40.9458,
|
| 558 |
+
"eval_samples_per_second": 22.982,
|
| 559 |
+
"eval_steps_per_second": 2.882,
|
| 560 |
+
"step": 800
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 2.43,
|
| 564 |
+
"learning_rate": 0.0001515915915915916,
|
| 565 |
+
"loss": 0.2038,
|
| 566 |
+
"step": 810
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 2.46,
|
| 570 |
+
"learning_rate": 0.000150990990990991,
|
| 571 |
+
"loss": 0.3805,
|
| 572 |
+
"step": 820
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 2.49,
|
| 576 |
+
"learning_rate": 0.0001503903903903904,
|
| 577 |
+
"loss": 0.395,
|
| 578 |
+
"step": 830
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.52,
|
| 582 |
+
"learning_rate": 0.0001497897897897898,
|
| 583 |
+
"loss": 0.4266,
|
| 584 |
+
"step": 840
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 2.55,
|
| 588 |
+
"learning_rate": 0.0001491891891891892,
|
| 589 |
+
"loss": 0.3128,
|
| 590 |
+
"step": 850
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.58,
|
| 594 |
+
"learning_rate": 0.0001485885885885886,
|
| 595 |
+
"loss": 0.3916,
|
| 596 |
+
"step": 860
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 2.61,
|
| 600 |
+
"learning_rate": 0.00014798798798798798,
|
| 601 |
+
"loss": 0.3253,
|
| 602 |
+
"step": 870
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 2.64,
|
| 606 |
+
"learning_rate": 0.0001473873873873874,
|
| 607 |
+
"loss": 0.6879,
|
| 608 |
+
"step": 880
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 2.67,
|
| 612 |
+
"learning_rate": 0.00014678678678678678,
|
| 613 |
+
"loss": 0.326,
|
| 614 |
+
"step": 890
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 2.7,
|
| 618 |
+
"learning_rate": 0.0001461861861861862,
|
| 619 |
+
"loss": 0.5799,
|
| 620 |
+
"step": 900
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.7,
|
| 624 |
+
"eval_accuracy": 0.8767268862911796,
|
| 625 |
+
"eval_loss": 0.4832826554775238,
|
| 626 |
+
"eval_runtime": 42.1482,
|
| 627 |
+
"eval_samples_per_second": 22.326,
|
| 628 |
+
"eval_steps_per_second": 2.8,
|
| 629 |
+
"step": 900
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 2.73,
|
| 633 |
+
"learning_rate": 0.0001455855855855856,
|
| 634 |
+
"loss": 0.4715,
|
| 635 |
+
"step": 910
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 2.76,
|
| 639 |
+
"learning_rate": 0.00014498498498498498,
|
| 640 |
+
"loss": 0.4166,
|
| 641 |
+
"step": 920
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.79,
|
| 645 |
+
"learning_rate": 0.0001443843843843844,
|
| 646 |
+
"loss": 0.6237,
|
| 647 |
+
"step": 930
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 2.82,
|
| 651 |
+
"learning_rate": 0.00014378378378378378,
|
| 652 |
+
"loss": 0.5164,
|
| 653 |
+
"step": 940
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.85,
|
| 657 |
+
"learning_rate": 0.0001431831831831832,
|
| 658 |
+
"loss": 0.3581,
|
| 659 |
+
"step": 950
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 2.88,
|
| 663 |
+
"learning_rate": 0.00014258258258258258,
|
| 664 |
+
"loss": 0.3834,
|
| 665 |
+
"step": 960
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 2.91,
|
| 669 |
+
"learning_rate": 0.00014198198198198198,
|
| 670 |
+
"loss": 0.2722,
|
| 671 |
+
"step": 970
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 2.94,
|
| 675 |
+
"learning_rate": 0.00014138138138138138,
|
| 676 |
+
"loss": 0.6858,
|
| 677 |
+
"step": 980
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 2.97,
|
| 681 |
+
"learning_rate": 0.00014078078078078079,
|
| 682 |
+
"loss": 0.4076,
|
| 683 |
+
"step": 990
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 3.0,
|
| 687 |
+
"learning_rate": 0.0001401801801801802,
|
| 688 |
+
"loss": 0.2995,
|
| 689 |
+
"step": 1000
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 3.0,
|
| 693 |
+
"eval_accuracy": 0.9043570669500531,
|
| 694 |
+
"eval_loss": 0.33867305517196655,
|
| 695 |
+
"eval_runtime": 42.1556,
|
| 696 |
+
"eval_samples_per_second": 22.322,
|
| 697 |
+
"eval_steps_per_second": 2.799,
|
| 698 |
+
"step": 1000
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 3.03,
|
| 702 |
+
"learning_rate": 0.0001395795795795796,
|
| 703 |
+
"loss": 0.2855,
|
| 704 |
+
"step": 1010
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 3.06,
|
| 708 |
+
"learning_rate": 0.000138978978978979,
|
| 709 |
+
"loss": 0.4162,
|
| 710 |
+
"step": 1020
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 3.09,
|
| 714 |
+
"learning_rate": 0.0001383783783783784,
|
| 715 |
+
"loss": 0.1903,
|
| 716 |
+
"step": 1030
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 3.12,
|
| 720 |
+
"learning_rate": 0.0001377777777777778,
|
| 721 |
+
"loss": 0.3357,
|
| 722 |
+
"step": 1040
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 3.15,
|
| 726 |
+
"learning_rate": 0.00013717717717717716,
|
| 727 |
+
"loss": 0.444,
|
| 728 |
+
"step": 1050
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 3.18,
|
| 732 |
+
"learning_rate": 0.0001365765765765766,
|
| 733 |
+
"loss": 0.2977,
|
| 734 |
+
"step": 1060
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 3.21,
|
| 738 |
+
"learning_rate": 0.00013597597597597597,
|
| 739 |
+
"loss": 0.2442,
|
| 740 |
+
"step": 1070
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 3.24,
|
| 744 |
+
"learning_rate": 0.0001353753753753754,
|
| 745 |
+
"loss": 0.369,
|
| 746 |
+
"step": 1080
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 3.27,
|
| 750 |
+
"learning_rate": 0.0001347747747747748,
|
| 751 |
+
"loss": 0.377,
|
| 752 |
+
"step": 1090
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 3.3,
|
| 756 |
+
"learning_rate": 0.00013417417417417417,
|
| 757 |
+
"loss": 0.3152,
|
| 758 |
+
"step": 1100
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 3.3,
|
| 762 |
+
"eval_accuracy": 0.9096705632306057,
|
| 763 |
+
"eval_loss": 0.37393638491630554,
|
| 764 |
+
"eval_runtime": 43.1022,
|
| 765 |
+
"eval_samples_per_second": 21.832,
|
| 766 |
+
"eval_steps_per_second": 2.738,
|
| 767 |
+
"step": 1100
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 3.33,
|
| 771 |
+
"learning_rate": 0.0001335735735735736,
|
| 772 |
+
"loss": 0.4133,
|
| 773 |
+
"step": 1110
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 3.36,
|
| 777 |
+
"learning_rate": 0.00013297297297297297,
|
| 778 |
+
"loss": 0.2448,
|
| 779 |
+
"step": 1120
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 3.39,
|
| 783 |
+
"learning_rate": 0.0001323723723723724,
|
| 784 |
+
"loss": 0.4011,
|
| 785 |
+
"step": 1130
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 3.42,
|
| 789 |
+
"learning_rate": 0.00013177177177177177,
|
| 790 |
+
"loss": 0.3495,
|
| 791 |
+
"step": 1140
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 3.45,
|
| 795 |
+
"learning_rate": 0.00013117117117117117,
|
| 796 |
+
"loss": 0.3656,
|
| 797 |
+
"step": 1150
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 3.48,
|
| 801 |
+
"learning_rate": 0.00013057057057057057,
|
| 802 |
+
"loss": 0.3285,
|
| 803 |
+
"step": 1160
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 3.51,
|
| 807 |
+
"learning_rate": 0.00012996996996996997,
|
| 808 |
+
"loss": 0.1904,
|
| 809 |
+
"step": 1170
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 3.54,
|
| 813 |
+
"learning_rate": 0.00012936936936936937,
|
| 814 |
+
"loss": 0.3852,
|
| 815 |
+
"step": 1180
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 3.57,
|
| 819 |
+
"learning_rate": 0.00012876876876876878,
|
| 820 |
+
"loss": 0.2966,
|
| 821 |
+
"step": 1190
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 3.6,
|
| 825 |
+
"learning_rate": 0.00012816816816816818,
|
| 826 |
+
"loss": 0.3284,
|
| 827 |
+
"step": 1200
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 3.6,
|
| 831 |
+
"eval_accuracy": 0.8916046758767269,
|
| 832 |
+
"eval_loss": 0.4216819107532501,
|
| 833 |
+
"eval_runtime": 43.8685,
|
| 834 |
+
"eval_samples_per_second": 21.45,
|
| 835 |
+
"eval_steps_per_second": 2.69,
|
| 836 |
+
"step": 1200
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 3.63,
|
| 840 |
+
"learning_rate": 0.00012756756756756758,
|
| 841 |
+
"loss": 0.3911,
|
| 842 |
+
"step": 1210
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 3.66,
|
| 846 |
+
"learning_rate": 0.00012696696696696698,
|
| 847 |
+
"loss": 0.2183,
|
| 848 |
+
"step": 1220
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 3.69,
|
| 852 |
+
"learning_rate": 0.00012636636636636635,
|
| 853 |
+
"loss": 0.4146,
|
| 854 |
+
"step": 1230
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 3.72,
|
| 858 |
+
"learning_rate": 0.00012576576576576578,
|
| 859 |
+
"loss": 0.4245,
|
| 860 |
+
"step": 1240
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 3.75,
|
| 864 |
+
"learning_rate": 0.00012516516516516515,
|
| 865 |
+
"loss": 0.2051,
|
| 866 |
+
"step": 1250
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 3.78,
|
| 870 |
+
"learning_rate": 0.00012456456456456458,
|
| 871 |
+
"loss": 0.2955,
|
| 872 |
+
"step": 1260
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 3.81,
|
| 876 |
+
"learning_rate": 0.00012396396396396398,
|
| 877 |
+
"loss": 0.3594,
|
| 878 |
+
"step": 1270
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 3.84,
|
| 882 |
+
"learning_rate": 0.00012336336336336336,
|
| 883 |
+
"loss": 0.4109,
|
| 884 |
+
"step": 1280
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 3.87,
|
| 888 |
+
"learning_rate": 0.00012276276276276278,
|
| 889 |
+
"loss": 0.2371,
|
| 890 |
+
"step": 1290
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 3.9,
|
| 894 |
+
"learning_rate": 0.00012216216216216216,
|
| 895 |
+
"loss": 0.3631,
|
| 896 |
+
"step": 1300
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 3.9,
|
| 900 |
+
"eval_accuracy": 0.9043570669500531,
|
| 901 |
+
"eval_loss": 0.41184473037719727,
|
| 902 |
+
"eval_runtime": 41.3527,
|
| 903 |
+
"eval_samples_per_second": 22.755,
|
| 904 |
+
"eval_steps_per_second": 2.854,
|
| 905 |
+
"step": 1300
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 3.93,
|
| 909 |
+
"learning_rate": 0.00012156156156156157,
|
| 910 |
+
"loss": 0.4564,
|
| 911 |
+
"step": 1310
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 3.96,
|
| 915 |
+
"learning_rate": 0.00012096096096096097,
|
| 916 |
+
"loss": 0.4595,
|
| 917 |
+
"step": 1320
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 3.99,
|
| 921 |
+
"learning_rate": 0.00012036036036036036,
|
| 922 |
+
"loss": 0.3554,
|
| 923 |
+
"step": 1330
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 4.02,
|
| 927 |
+
"learning_rate": 0.00011975975975975977,
|
| 928 |
+
"loss": 0.4029,
|
| 929 |
+
"step": 1340
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 4.05,
|
| 933 |
+
"learning_rate": 0.00011915915915915916,
|
| 934 |
+
"loss": 0.2339,
|
| 935 |
+
"step": 1350
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 4.08,
|
| 939 |
+
"learning_rate": 0.00011855855855855858,
|
| 940 |
+
"loss": 0.2711,
|
| 941 |
+
"step": 1360
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 4.11,
|
| 945 |
+
"learning_rate": 0.00011795795795795796,
|
| 946 |
+
"loss": 0.2034,
|
| 947 |
+
"step": 1370
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 4.14,
|
| 951 |
+
"learning_rate": 0.00011735735735735735,
|
| 952 |
+
"loss": 0.4796,
|
| 953 |
+
"step": 1380
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 4.17,
|
| 957 |
+
"learning_rate": 0.00011675675675675676,
|
| 958 |
+
"loss": 0.2313,
|
| 959 |
+
"step": 1390
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 4.2,
|
| 963 |
+
"learning_rate": 0.00011615615615615617,
|
| 964 |
+
"loss": 0.219,
|
| 965 |
+
"step": 1400
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 4.2,
|
| 969 |
+
"eval_accuracy": 0.9139213602550478,
|
| 970 |
+
"eval_loss": 0.37211018800735474,
|
| 971 |
+
"eval_runtime": 42.0279,
|
| 972 |
+
"eval_samples_per_second": 22.39,
|
| 973 |
+
"eval_steps_per_second": 2.808,
|
| 974 |
+
"step": 1400
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 4.23,
|
| 978 |
+
"learning_rate": 0.00011555555555555555,
|
| 979 |
+
"loss": 0.224,
|
| 980 |
+
"step": 1410
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 4.26,
|
| 984 |
+
"learning_rate": 0.00011495495495495497,
|
| 985 |
+
"loss": 0.2262,
|
| 986 |
+
"step": 1420
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 4.29,
|
| 990 |
+
"learning_rate": 0.00011435435435435435,
|
| 991 |
+
"loss": 0.2165,
|
| 992 |
+
"step": 1430
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 4.32,
|
| 996 |
+
"learning_rate": 0.00011375375375375377,
|
| 997 |
+
"loss": 0.2617,
|
| 998 |
+
"step": 1440
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 4.35,
|
| 1002 |
+
"learning_rate": 0.00011315315315315316,
|
| 1003 |
+
"loss": 0.1725,
|
| 1004 |
+
"step": 1450
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 4.38,
|
| 1008 |
+
"learning_rate": 0.00011255255255255254,
|
| 1009 |
+
"loss": 0.2667,
|
| 1010 |
+
"step": 1460
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 4.41,
|
| 1014 |
+
"learning_rate": 0.00011195195195195196,
|
| 1015 |
+
"loss": 0.506,
|
| 1016 |
+
"step": 1470
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 4.44,
|
| 1020 |
+
"learning_rate": 0.00011135135135135135,
|
| 1021 |
+
"loss": 0.4481,
|
| 1022 |
+
"step": 1480
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 4.47,
|
| 1026 |
+
"learning_rate": 0.00011075075075075076,
|
| 1027 |
+
"loss": 0.3483,
|
| 1028 |
+
"step": 1490
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 4.5,
|
| 1032 |
+
"learning_rate": 0.00011015015015015016,
|
| 1033 |
+
"loss": 0.2874,
|
| 1034 |
+
"step": 1500
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 4.5,
|
| 1038 |
+
"eval_accuracy": 0.9287991498405951,
|
| 1039 |
+
"eval_loss": 0.30303552746772766,
|
| 1040 |
+
"eval_runtime": 41.8473,
|
| 1041 |
+
"eval_samples_per_second": 22.487,
|
| 1042 |
+
"eval_steps_per_second": 2.82,
|
| 1043 |
+
"step": 1500
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 4.53,
|
| 1047 |
+
"learning_rate": 0.00010954954954954955,
|
| 1048 |
+
"loss": 0.3234,
|
| 1049 |
+
"step": 1510
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 4.56,
|
| 1053 |
+
"learning_rate": 0.00010894894894894896,
|
| 1054 |
+
"loss": 0.3609,
|
| 1055 |
+
"step": 1520
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 4.59,
|
| 1059 |
+
"learning_rate": 0.00010834834834834835,
|
| 1060 |
+
"loss": 0.2809,
|
| 1061 |
+
"step": 1530
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 4.62,
|
| 1065 |
+
"learning_rate": 0.00010774774774774776,
|
| 1066 |
+
"loss": 0.2844,
|
| 1067 |
+
"step": 1540
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 4.65,
|
| 1071 |
+
"learning_rate": 0.00010714714714714715,
|
| 1072 |
+
"loss": 0.2682,
|
| 1073 |
+
"step": 1550
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 4.68,
|
| 1077 |
+
"learning_rate": 0.00010654654654654654,
|
| 1078 |
+
"loss": 0.257,
|
| 1079 |
+
"step": 1560
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 4.71,
|
| 1083 |
+
"learning_rate": 0.00010594594594594595,
|
| 1084 |
+
"loss": 0.1629,
|
| 1085 |
+
"step": 1570
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 4.74,
|
| 1089 |
+
"learning_rate": 0.00010534534534534535,
|
| 1090 |
+
"loss": 0.3236,
|
| 1091 |
+
"step": 1580
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 4.77,
|
| 1095 |
+
"learning_rate": 0.00010474474474474475,
|
| 1096 |
+
"loss": 0.1371,
|
| 1097 |
+
"step": 1590
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 4.8,
|
| 1101 |
+
"learning_rate": 0.00010414414414414416,
|
| 1102 |
+
"loss": 0.2819,
|
| 1103 |
+
"step": 1600
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 4.8,
|
| 1107 |
+
"eval_accuracy": 0.9149840595111584,
|
| 1108 |
+
"eval_loss": 0.40561917424201965,
|
| 1109 |
+
"eval_runtime": 42.3715,
|
| 1110 |
+
"eval_samples_per_second": 22.208,
|
| 1111 |
+
"eval_steps_per_second": 2.785,
|
| 1112 |
+
"step": 1600
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 4.83,
|
| 1116 |
+
"learning_rate": 0.00010354354354354354,
|
| 1117 |
+
"loss": 0.3263,
|
| 1118 |
+
"step": 1610
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 4.86,
|
| 1122 |
+
"learning_rate": 0.00010294294294294296,
|
| 1123 |
+
"loss": 0.1687,
|
| 1124 |
+
"step": 1620
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 4.89,
|
| 1128 |
+
"learning_rate": 0.00010234234234234234,
|
| 1129 |
+
"loss": 0.2958,
|
| 1130 |
+
"step": 1630
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 4.92,
|
| 1134 |
+
"learning_rate": 0.00010174174174174173,
|
| 1135 |
+
"loss": 0.4361,
|
| 1136 |
+
"step": 1640
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 4.95,
|
| 1140 |
+
"learning_rate": 0.00010114114114114115,
|
| 1141 |
+
"loss": 0.3248,
|
| 1142 |
+
"step": 1650
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 4.98,
|
| 1146 |
+
"learning_rate": 0.00010054054054054053,
|
| 1147 |
+
"loss": 0.3016,
|
| 1148 |
+
"step": 1660
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 5.02,
|
| 1152 |
+
"learning_rate": 9.993993993993995e-05,
|
| 1153 |
+
"loss": 0.1838,
|
| 1154 |
+
"step": 1670
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 5.05,
|
| 1158 |
+
"learning_rate": 9.933933933933935e-05,
|
| 1159 |
+
"loss": 0.2782,
|
| 1160 |
+
"step": 1680
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 5.08,
|
| 1164 |
+
"learning_rate": 9.873873873873875e-05,
|
| 1165 |
+
"loss": 0.148,
|
| 1166 |
+
"step": 1690
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 5.11,
|
| 1170 |
+
"learning_rate": 9.813813813813815e-05,
|
| 1171 |
+
"loss": 0.1755,
|
| 1172 |
+
"step": 1700
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 5.11,
|
| 1176 |
+
"eval_accuracy": 0.9096705632306057,
|
| 1177 |
+
"eval_loss": 0.40392687916755676,
|
| 1178 |
+
"eval_runtime": 41.1675,
|
| 1179 |
+
"eval_samples_per_second": 22.858,
|
| 1180 |
+
"eval_steps_per_second": 2.866,
|
| 1181 |
+
"step": 1700
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 5.14,
|
| 1185 |
+
"learning_rate": 9.753753753753754e-05,
|
| 1186 |
+
"loss": 0.1787,
|
| 1187 |
+
"step": 1710
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 5.17,
|
| 1191 |
+
"learning_rate": 9.693693693693694e-05,
|
| 1192 |
+
"loss": 0.161,
|
| 1193 |
+
"step": 1720
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 5.2,
|
| 1197 |
+
"learning_rate": 9.633633633633634e-05,
|
| 1198 |
+
"loss": 0.3622,
|
| 1199 |
+
"step": 1730
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 5.23,
|
| 1203 |
+
"learning_rate": 9.573573573573574e-05,
|
| 1204 |
+
"loss": 0.2815,
|
| 1205 |
+
"step": 1740
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 5.26,
|
| 1209 |
+
"learning_rate": 9.513513513513514e-05,
|
| 1210 |
+
"loss": 0.206,
|
| 1211 |
+
"step": 1750
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 5.29,
|
| 1215 |
+
"learning_rate": 9.453453453453454e-05,
|
| 1216 |
+
"loss": 0.277,
|
| 1217 |
+
"step": 1760
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 5.32,
|
| 1221 |
+
"learning_rate": 9.393393393393394e-05,
|
| 1222 |
+
"loss": 0.2796,
|
| 1223 |
+
"step": 1770
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 5.35,
|
| 1227 |
+
"learning_rate": 9.333333333333334e-05,
|
| 1228 |
+
"loss": 0.2123,
|
| 1229 |
+
"step": 1780
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 5.38,
|
| 1233 |
+
"learning_rate": 9.273273273273274e-05,
|
| 1234 |
+
"loss": 0.2877,
|
| 1235 |
+
"step": 1790
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 5.41,
|
| 1239 |
+
"learning_rate": 9.213213213213213e-05,
|
| 1240 |
+
"loss": 0.2462,
|
| 1241 |
+
"step": 1800
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 5.41,
|
| 1245 |
+
"eval_accuracy": 0.9117959617428267,
|
| 1246 |
+
"eval_loss": 0.35504746437072754,
|
| 1247 |
+
"eval_runtime": 42.4152,
|
| 1248 |
+
"eval_samples_per_second": 22.185,
|
| 1249 |
+
"eval_steps_per_second": 2.782,
|
| 1250 |
+
"step": 1800
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 5.44,
|
| 1254 |
+
"learning_rate": 9.153153153153153e-05,
|
| 1255 |
+
"loss": 0.2847,
|
| 1256 |
+
"step": 1810
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 5.47,
|
| 1260 |
+
"learning_rate": 9.093093093093093e-05,
|
| 1261 |
+
"loss": 0.1655,
|
| 1262 |
+
"step": 1820
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 5.5,
|
| 1266 |
+
"learning_rate": 9.033033033033033e-05,
|
| 1267 |
+
"loss": 0.168,
|
| 1268 |
+
"step": 1830
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 5.53,
|
| 1272 |
+
"learning_rate": 8.972972972972973e-05,
|
| 1273 |
+
"loss": 0.2172,
|
| 1274 |
+
"step": 1840
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 5.56,
|
| 1278 |
+
"learning_rate": 8.912912912912914e-05,
|
| 1279 |
+
"loss": 0.1425,
|
| 1280 |
+
"step": 1850
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 5.59,
|
| 1284 |
+
"learning_rate": 8.852852852852854e-05,
|
| 1285 |
+
"loss": 0.2147,
|
| 1286 |
+
"step": 1860
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 5.62,
|
| 1290 |
+
"learning_rate": 8.792792792792794e-05,
|
| 1291 |
+
"loss": 0.2172,
|
| 1292 |
+
"step": 1870
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 5.65,
|
| 1296 |
+
"learning_rate": 8.732732732732734e-05,
|
| 1297 |
+
"loss": 0.1565,
|
| 1298 |
+
"step": 1880
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 5.68,
|
| 1302 |
+
"learning_rate": 8.672672672672673e-05,
|
| 1303 |
+
"loss": 0.2442,
|
| 1304 |
+
"step": 1890
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 5.71,
|
| 1308 |
+
"learning_rate": 8.612612612612613e-05,
|
| 1309 |
+
"loss": 0.1737,
|
| 1310 |
+
"step": 1900
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 5.71,
|
| 1314 |
+
"eval_accuracy": 0.9149840595111584,
|
| 1315 |
+
"eval_loss": 0.34443262219429016,
|
| 1316 |
+
"eval_runtime": 42.7483,
|
| 1317 |
+
"eval_samples_per_second": 22.013,
|
| 1318 |
+
"eval_steps_per_second": 2.76,
|
| 1319 |
+
"step": 1900
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 5.74,
|
| 1323 |
+
"learning_rate": 8.552552552552553e-05,
|
| 1324 |
+
"loss": 0.1837,
|
| 1325 |
+
"step": 1910
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 5.77,
|
| 1329 |
+
"learning_rate": 8.492492492492493e-05,
|
| 1330 |
+
"loss": 0.1993,
|
| 1331 |
+
"step": 1920
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 5.8,
|
| 1335 |
+
"learning_rate": 8.432432432432433e-05,
|
| 1336 |
+
"loss": 0.1556,
|
| 1337 |
+
"step": 1930
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 5.83,
|
| 1341 |
+
"learning_rate": 8.372372372372373e-05,
|
| 1342 |
+
"loss": 0.188,
|
| 1343 |
+
"step": 1940
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 5.86,
|
| 1347 |
+
"learning_rate": 8.312312312312313e-05,
|
| 1348 |
+
"loss": 0.299,
|
| 1349 |
+
"step": 1950
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 5.89,
|
| 1353 |
+
"learning_rate": 8.252252252252253e-05,
|
| 1354 |
+
"loss": 0.1826,
|
| 1355 |
+
"step": 1960
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 5.92,
|
| 1359 |
+
"learning_rate": 8.192192192192193e-05,
|
| 1360 |
+
"loss": 0.2584,
|
| 1361 |
+
"step": 1970
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 5.95,
|
| 1365 |
+
"learning_rate": 8.132132132132132e-05,
|
| 1366 |
+
"loss": 0.1874,
|
| 1367 |
+
"step": 1980
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 5.98,
|
| 1371 |
+
"learning_rate": 8.072072072072072e-05,
|
| 1372 |
+
"loss": 0.2002,
|
| 1373 |
+
"step": 1990
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 6.01,
|
| 1377 |
+
"learning_rate": 8.012012012012012e-05,
|
| 1378 |
+
"loss": 0.174,
|
| 1379 |
+
"step": 2000
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 6.01,
|
| 1383 |
+
"eval_accuracy": 0.9160467587672688,
|
| 1384 |
+
"eval_loss": 0.3666709363460541,
|
| 1385 |
+
"eval_runtime": 42.6208,
|
| 1386 |
+
"eval_samples_per_second": 22.078,
|
| 1387 |
+
"eval_steps_per_second": 2.769,
|
| 1388 |
+
"step": 2000
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 6.04,
|
| 1392 |
+
"learning_rate": 7.951951951951952e-05,
|
| 1393 |
+
"loss": 0.1239,
|
| 1394 |
+
"step": 2010
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 6.07,
|
| 1398 |
+
"learning_rate": 7.891891891891892e-05,
|
| 1399 |
+
"loss": 0.2739,
|
| 1400 |
+
"step": 2020
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 6.1,
|
| 1404 |
+
"learning_rate": 7.831831831831832e-05,
|
| 1405 |
+
"loss": 0.1614,
|
| 1406 |
+
"step": 2030
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 6.13,
|
| 1410 |
+
"learning_rate": 7.771771771771772e-05,
|
| 1411 |
+
"loss": 0.2269,
|
| 1412 |
+
"step": 2040
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 6.16,
|
| 1416 |
+
"learning_rate": 7.711711711711713e-05,
|
| 1417 |
+
"loss": 0.1065,
|
| 1418 |
+
"step": 2050
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 6.19,
|
| 1422 |
+
"learning_rate": 7.651651651651653e-05,
|
| 1423 |
+
"loss": 0.1147,
|
| 1424 |
+
"step": 2060
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 6.22,
|
| 1428 |
+
"learning_rate": 7.591591591591593e-05,
|
| 1429 |
+
"loss": 0.203,
|
| 1430 |
+
"step": 2070
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 6.25,
|
| 1434 |
+
"learning_rate": 7.531531531531531e-05,
|
| 1435 |
+
"loss": 0.1332,
|
| 1436 |
+
"step": 2080
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 6.28,
|
| 1440 |
+
"learning_rate": 7.471471471471471e-05,
|
| 1441 |
+
"loss": 0.1617,
|
| 1442 |
+
"step": 2090
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 6.31,
|
| 1446 |
+
"learning_rate": 7.411411411411412e-05,
|
| 1447 |
+
"loss": 0.1536,
|
| 1448 |
+
"step": 2100
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 6.31,
|
| 1452 |
+
"eval_accuracy": 0.9287991498405951,
|
| 1453 |
+
"eval_loss": 0.33007681369781494,
|
| 1454 |
+
"eval_runtime": 42.7421,
|
| 1455 |
+
"eval_samples_per_second": 22.016,
|
| 1456 |
+
"eval_steps_per_second": 2.761,
|
| 1457 |
+
"step": 2100
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 6.34,
|
| 1461 |
+
"learning_rate": 7.351351351351352e-05,
|
| 1462 |
+
"loss": 0.1875,
|
| 1463 |
+
"step": 2110
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 6.37,
|
| 1467 |
+
"learning_rate": 7.291291291291292e-05,
|
| 1468 |
+
"loss": 0.1985,
|
| 1469 |
+
"step": 2120
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 6.4,
|
| 1473 |
+
"learning_rate": 7.231231231231232e-05,
|
| 1474 |
+
"loss": 0.1353,
|
| 1475 |
+
"step": 2130
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 6.43,
|
| 1479 |
+
"learning_rate": 7.171171171171172e-05,
|
| 1480 |
+
"loss": 0.3048,
|
| 1481 |
+
"step": 2140
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 6.46,
|
| 1485 |
+
"learning_rate": 7.111111111111112e-05,
|
| 1486 |
+
"loss": 0.1192,
|
| 1487 |
+
"step": 2150
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 6.49,
|
| 1491 |
+
"learning_rate": 7.051051051051052e-05,
|
| 1492 |
+
"loss": 0.1597,
|
| 1493 |
+
"step": 2160
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 6.52,
|
| 1497 |
+
"learning_rate": 6.990990990990991e-05,
|
| 1498 |
+
"loss": 0.1847,
|
| 1499 |
+
"step": 2170
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 6.55,
|
| 1503 |
+
"learning_rate": 6.930930930930931e-05,
|
| 1504 |
+
"loss": 0.1219,
|
| 1505 |
+
"step": 2180
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 6.58,
|
| 1509 |
+
"learning_rate": 6.870870870870871e-05,
|
| 1510 |
+
"loss": 0.1896,
|
| 1511 |
+
"step": 2190
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 6.61,
|
| 1515 |
+
"learning_rate": 6.810810810810811e-05,
|
| 1516 |
+
"loss": 0.0911,
|
| 1517 |
+
"step": 2200
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 6.61,
|
| 1521 |
+
"eval_accuracy": 0.9298618490967057,
|
| 1522 |
+
"eval_loss": 0.3390131890773773,
|
| 1523 |
+
"eval_runtime": 41.5116,
|
| 1524 |
+
"eval_samples_per_second": 22.668,
|
| 1525 |
+
"eval_steps_per_second": 2.843,
|
| 1526 |
+
"step": 2200
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 6.64,
|
| 1530 |
+
"learning_rate": 6.750750750750751e-05,
|
| 1531 |
+
"loss": 0.139,
|
| 1532 |
+
"step": 2210
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 6.67,
|
| 1536 |
+
"learning_rate": 6.690690690690691e-05,
|
| 1537 |
+
"loss": 0.1199,
|
| 1538 |
+
"step": 2220
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 6.7,
|
| 1542 |
+
"learning_rate": 6.630630630630631e-05,
|
| 1543 |
+
"loss": 0.2636,
|
| 1544 |
+
"step": 2230
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 6.73,
|
| 1548 |
+
"learning_rate": 6.570570570570571e-05,
|
| 1549 |
+
"loss": 0.2218,
|
| 1550 |
+
"step": 2240
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 6.76,
|
| 1554 |
+
"learning_rate": 6.510510510510511e-05,
|
| 1555 |
+
"loss": 0.22,
|
| 1556 |
+
"step": 2250
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 6.79,
|
| 1560 |
+
"learning_rate": 6.45045045045045e-05,
|
| 1561 |
+
"loss": 0.2532,
|
| 1562 |
+
"step": 2260
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 6.82,
|
| 1566 |
+
"learning_rate": 6.39039039039039e-05,
|
| 1567 |
+
"loss": 0.1398,
|
| 1568 |
+
"step": 2270
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 6.85,
|
| 1572 |
+
"learning_rate": 6.33033033033033e-05,
|
| 1573 |
+
"loss": 0.2485,
|
| 1574 |
+
"step": 2280
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 6.88,
|
| 1578 |
+
"learning_rate": 6.27027027027027e-05,
|
| 1579 |
+
"loss": 0.3601,
|
| 1580 |
+
"step": 2290
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 6.91,
|
| 1584 |
+
"learning_rate": 6.21021021021021e-05,
|
| 1585 |
+
"loss": 0.0907,
|
| 1586 |
+
"step": 2300
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 6.91,
|
| 1590 |
+
"eval_accuracy": 0.9287991498405951,
|
| 1591 |
+
"eval_loss": 0.29225409030914307,
|
| 1592 |
+
"eval_runtime": 41.9047,
|
| 1593 |
+
"eval_samples_per_second": 22.456,
|
| 1594 |
+
"eval_steps_per_second": 2.816,
|
| 1595 |
+
"step": 2300
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 6.94,
|
| 1599 |
+
"learning_rate": 6.15015015015015e-05,
|
| 1600 |
+
"loss": 0.233,
|
| 1601 |
+
"step": 2310
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 6.97,
|
| 1605 |
+
"learning_rate": 6.09009009009009e-05,
|
| 1606 |
+
"loss": 0.1495,
|
| 1607 |
+
"step": 2320
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 7.0,
|
| 1611 |
+
"learning_rate": 6.030030030030031e-05,
|
| 1612 |
+
"loss": 0.1787,
|
| 1613 |
+
"step": 2330
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 7.03,
|
| 1617 |
+
"learning_rate": 5.969969969969971e-05,
|
| 1618 |
+
"loss": 0.1085,
|
| 1619 |
+
"step": 2340
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 7.06,
|
| 1623 |
+
"learning_rate": 5.9099099099099096e-05,
|
| 1624 |
+
"loss": 0.0735,
|
| 1625 |
+
"step": 2350
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 7.09,
|
| 1629 |
+
"learning_rate": 5.84984984984985e-05,
|
| 1630 |
+
"loss": 0.1993,
|
| 1631 |
+
"step": 2360
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 7.12,
|
| 1635 |
+
"learning_rate": 5.7897897897897904e-05,
|
| 1636 |
+
"loss": 0.1596,
|
| 1637 |
+
"step": 2370
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 7.15,
|
| 1641 |
+
"learning_rate": 5.7297297297297305e-05,
|
| 1642 |
+
"loss": 0.2082,
|
| 1643 |
+
"step": 2380
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 7.18,
|
| 1647 |
+
"learning_rate": 5.669669669669669e-05,
|
| 1648 |
+
"loss": 0.0653,
|
| 1649 |
+
"step": 2390
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 7.21,
|
| 1653 |
+
"learning_rate": 5.6096096096096093e-05,
|
| 1654 |
+
"loss": 0.0921,
|
| 1655 |
+
"step": 2400
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 7.21,
|
| 1659 |
+
"eval_accuracy": 0.9256110520722636,
|
| 1660 |
+
"eval_loss": 0.3502277135848999,
|
| 1661 |
+
"eval_runtime": 42.8984,
|
| 1662 |
+
"eval_samples_per_second": 21.936,
|
| 1663 |
+
"eval_steps_per_second": 2.751,
|
| 1664 |
+
"step": 2400
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 7.24,
|
| 1668 |
+
"learning_rate": 5.5495495495495494e-05,
|
| 1669 |
+
"loss": 0.1173,
|
| 1670 |
+
"step": 2410
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 7.27,
|
| 1674 |
+
"learning_rate": 5.48948948948949e-05,
|
| 1675 |
+
"loss": 0.2822,
|
| 1676 |
+
"step": 2420
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 7.3,
|
| 1680 |
+
"learning_rate": 5.42942942942943e-05,
|
| 1681 |
+
"loss": 0.1641,
|
| 1682 |
+
"step": 2430
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 7.33,
|
| 1686 |
+
"learning_rate": 5.369369369369369e-05,
|
| 1687 |
+
"loss": 0.0522,
|
| 1688 |
+
"step": 2440
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 7.36,
|
| 1692 |
+
"learning_rate": 5.309309309309309e-05,
|
| 1693 |
+
"loss": 0.0885,
|
| 1694 |
+
"step": 2450
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 7.39,
|
| 1698 |
+
"learning_rate": 5.24924924924925e-05,
|
| 1699 |
+
"loss": 0.2203,
|
| 1700 |
+
"step": 2460
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 7.42,
|
| 1704 |
+
"learning_rate": 5.18918918918919e-05,
|
| 1705 |
+
"loss": 0.2119,
|
| 1706 |
+
"step": 2470
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 7.45,
|
| 1710 |
+
"learning_rate": 5.12912912912913e-05,
|
| 1711 |
+
"loss": 0.1296,
|
| 1712 |
+
"step": 2480
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 7.48,
|
| 1716 |
+
"learning_rate": 5.075075075075075e-05,
|
| 1717 |
+
"loss": 0.1648,
|
| 1718 |
+
"step": 2490
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 7.51,
|
| 1722 |
+
"learning_rate": 5.015015015015015e-05,
|
| 1723 |
+
"loss": 0.1662,
|
| 1724 |
+
"step": 2500
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 7.51,
|
| 1728 |
+
"eval_accuracy": 0.9341126461211477,
|
| 1729 |
+
"eval_loss": 0.31974515318870544,
|
| 1730 |
+
"eval_runtime": 42.4132,
|
| 1731 |
+
"eval_samples_per_second": 22.187,
|
| 1732 |
+
"eval_steps_per_second": 2.782,
|
| 1733 |
+
"step": 2500
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 7.54,
|
| 1737 |
+
"learning_rate": 4.954954954954955e-05,
|
| 1738 |
+
"loss": 0.3236,
|
| 1739 |
+
"step": 2510
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 7.57,
|
| 1743 |
+
"learning_rate": 4.8948948948948954e-05,
|
| 1744 |
+
"loss": 0.1613,
|
| 1745 |
+
"step": 2520
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 7.6,
|
| 1749 |
+
"learning_rate": 4.834834834834835e-05,
|
| 1750 |
+
"loss": 0.127,
|
| 1751 |
+
"step": 2530
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 7.63,
|
| 1755 |
+
"learning_rate": 4.774774774774775e-05,
|
| 1756 |
+
"loss": 0.19,
|
| 1757 |
+
"step": 2540
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 7.66,
|
| 1761 |
+
"learning_rate": 4.714714714714715e-05,
|
| 1762 |
+
"loss": 0.2622,
|
| 1763 |
+
"step": 2550
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 7.69,
|
| 1767 |
+
"learning_rate": 4.654654654654655e-05,
|
| 1768 |
+
"loss": 0.1676,
|
| 1769 |
+
"step": 2560
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 7.72,
|
| 1773 |
+
"learning_rate": 4.594594594594595e-05,
|
| 1774 |
+
"loss": 0.0607,
|
| 1775 |
+
"step": 2570
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 7.75,
|
| 1779 |
+
"learning_rate": 4.5345345345345345e-05,
|
| 1780 |
+
"loss": 0.0951,
|
| 1781 |
+
"step": 2580
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 7.78,
|
| 1785 |
+
"learning_rate": 4.4744744744744746e-05,
|
| 1786 |
+
"loss": 0.0619,
|
| 1787 |
+
"step": 2590
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 7.81,
|
| 1791 |
+
"learning_rate": 4.414414414414415e-05,
|
| 1792 |
+
"loss": 0.0607,
|
| 1793 |
+
"step": 2600
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 7.81,
|
| 1797 |
+
"eval_accuracy": 0.9362380446333688,
|
| 1798 |
+
"eval_loss": 0.3092383146286011,
|
| 1799 |
+
"eval_runtime": 42.8615,
|
| 1800 |
+
"eval_samples_per_second": 21.954,
|
| 1801 |
+
"eval_steps_per_second": 2.753,
|
| 1802 |
+
"step": 2600
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 7.84,
|
| 1806 |
+
"learning_rate": 4.354354354354355e-05,
|
| 1807 |
+
"loss": 0.1651,
|
| 1808 |
+
"step": 2610
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 7.87,
|
| 1812 |
+
"learning_rate": 4.294294294294294e-05,
|
| 1813 |
+
"loss": 0.1729,
|
| 1814 |
+
"step": 2620
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 7.9,
|
| 1818 |
+
"learning_rate": 4.234234234234234e-05,
|
| 1819 |
+
"loss": 0.0926,
|
| 1820 |
+
"step": 2630
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 7.93,
|
| 1824 |
+
"learning_rate": 4.1741741741741744e-05,
|
| 1825 |
+
"loss": 0.1416,
|
| 1826 |
+
"step": 2640
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 7.96,
|
| 1830 |
+
"learning_rate": 4.1141141141141144e-05,
|
| 1831 |
+
"loss": 0.1423,
|
| 1832 |
+
"step": 2650
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 7.99,
|
| 1836 |
+
"learning_rate": 4.0540540540540545e-05,
|
| 1837 |
+
"loss": 0.2282,
|
| 1838 |
+
"step": 2660
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 8.02,
|
| 1842 |
+
"learning_rate": 3.993993993993994e-05,
|
| 1843 |
+
"loss": 0.1875,
|
| 1844 |
+
"step": 2670
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 8.05,
|
| 1848 |
+
"learning_rate": 3.933933933933934e-05,
|
| 1849 |
+
"loss": 0.082,
|
| 1850 |
+
"step": 2680
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 8.08,
|
| 1854 |
+
"learning_rate": 3.873873873873874e-05,
|
| 1855 |
+
"loss": 0.0841,
|
| 1856 |
+
"step": 2690
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 8.11,
|
| 1860 |
+
"learning_rate": 3.813813813813814e-05,
|
| 1861 |
+
"loss": 0.111,
|
| 1862 |
+
"step": 2700
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 8.11,
|
| 1866 |
+
"eval_accuracy": 0.9394261424017003,
|
| 1867 |
+
"eval_loss": 0.3145782947540283,
|
| 1868 |
+
"eval_runtime": 41.6631,
|
| 1869 |
+
"eval_samples_per_second": 22.586,
|
| 1870 |
+
"eval_steps_per_second": 2.832,
|
| 1871 |
+
"step": 2700
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 8.14,
|
| 1875 |
+
"learning_rate": 3.7537537537537536e-05,
|
| 1876 |
+
"loss": 0.1134,
|
| 1877 |
+
"step": 2710
|
| 1878 |
+
},
|
| 1879 |
+
{
|
| 1880 |
+
"epoch": 8.17,
|
| 1881 |
+
"learning_rate": 3.693693693693694e-05,
|
| 1882 |
+
"loss": 0.2025,
|
| 1883 |
+
"step": 2720
|
| 1884 |
+
},
|
| 1885 |
+
{
|
| 1886 |
+
"epoch": 8.2,
|
| 1887 |
+
"learning_rate": 3.633633633633634e-05,
|
| 1888 |
+
"loss": 0.0839,
|
| 1889 |
+
"step": 2730
|
| 1890 |
+
},
|
| 1891 |
+
{
|
| 1892 |
+
"epoch": 8.23,
|
| 1893 |
+
"learning_rate": 3.573573573573574e-05,
|
| 1894 |
+
"loss": 0.1108,
|
| 1895 |
+
"step": 2740
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"epoch": 8.26,
|
| 1899 |
+
"learning_rate": 3.513513513513514e-05,
|
| 1900 |
+
"loss": 0.1802,
|
| 1901 |
+
"step": 2750
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 8.29,
|
| 1905 |
+
"learning_rate": 3.453453453453453e-05,
|
| 1906 |
+
"loss": 0.0608,
|
| 1907 |
+
"step": 2760
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 8.32,
|
| 1911 |
+
"learning_rate": 3.3933933933933934e-05,
|
| 1912 |
+
"loss": 0.139,
|
| 1913 |
+
"step": 2770
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 8.35,
|
| 1917 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 1918 |
+
"loss": 0.1329,
|
| 1919 |
+
"step": 2780
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 8.38,
|
| 1923 |
+
"learning_rate": 3.2732732732732736e-05,
|
| 1924 |
+
"loss": 0.1711,
|
| 1925 |
+
"step": 2790
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 8.41,
|
| 1929 |
+
"learning_rate": 3.213213213213213e-05,
|
| 1930 |
+
"loss": 0.0588,
|
| 1931 |
+
"step": 2800
|
| 1932 |
+
},
|
| 1933 |
+
{
|
| 1934 |
+
"epoch": 8.41,
|
| 1935 |
+
"eval_accuracy": 0.9341126461211477,
|
| 1936 |
+
"eval_loss": 0.3069179654121399,
|
| 1937 |
+
"eval_runtime": 44.1439,
|
| 1938 |
+
"eval_samples_per_second": 21.317,
|
| 1939 |
+
"eval_steps_per_second": 2.673,
|
| 1940 |
+
"step": 2800
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 8.44,
|
| 1944 |
+
"learning_rate": 3.153153153153153e-05,
|
| 1945 |
+
"loss": 0.1412,
|
| 1946 |
+
"step": 2810
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 8.47,
|
| 1950 |
+
"learning_rate": 3.093093093093093e-05,
|
| 1951 |
+
"loss": 0.1177,
|
| 1952 |
+
"step": 2820
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 8.5,
|
| 1956 |
+
"learning_rate": 3.0330330330330332e-05,
|
| 1957 |
+
"loss": 0.0592,
|
| 1958 |
+
"step": 2830
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 8.53,
|
| 1962 |
+
"learning_rate": 2.9729729729729733e-05,
|
| 1963 |
+
"loss": 0.0826,
|
| 1964 |
+
"step": 2840
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 8.56,
|
| 1968 |
+
"learning_rate": 2.912912912912913e-05,
|
| 1969 |
+
"loss": 0.0291,
|
| 1970 |
+
"step": 2850
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 8.59,
|
| 1974 |
+
"learning_rate": 2.852852852852853e-05,
|
| 1975 |
+
"loss": 0.1077,
|
| 1976 |
+
"step": 2860
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 8.62,
|
| 1980 |
+
"learning_rate": 2.7927927927927926e-05,
|
| 1981 |
+
"loss": 0.1541,
|
| 1982 |
+
"step": 2870
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 8.65,
|
| 1986 |
+
"learning_rate": 2.732732732732733e-05,
|
| 1987 |
+
"loss": 0.0972,
|
| 1988 |
+
"step": 2880
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 8.68,
|
| 1992 |
+
"learning_rate": 2.672672672672673e-05,
|
| 1993 |
+
"loss": 0.0879,
|
| 1994 |
+
"step": 2890
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 8.71,
|
| 1998 |
+
"learning_rate": 2.6126126126126128e-05,
|
| 1999 |
+
"loss": 0.131,
|
| 2000 |
+
"step": 2900
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 8.71,
|
| 2004 |
+
"eval_accuracy": 0.9404888416578109,
|
| 2005 |
+
"eval_loss": 0.29712456464767456,
|
| 2006 |
+
"eval_runtime": 44.6124,
|
| 2007 |
+
"eval_samples_per_second": 21.093,
|
| 2008 |
+
"eval_steps_per_second": 2.645,
|
| 2009 |
+
"step": 2900
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 8.74,
|
| 2013 |
+
"learning_rate": 2.552552552552553e-05,
|
| 2014 |
+
"loss": 0.1452,
|
| 2015 |
+
"step": 2910
|
| 2016 |
+
},
|
| 2017 |
+
{
|
| 2018 |
+
"epoch": 8.77,
|
| 2019 |
+
"learning_rate": 2.4924924924924926e-05,
|
| 2020 |
+
"loss": 0.1011,
|
| 2021 |
+
"step": 2920
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 8.8,
|
| 2025 |
+
"learning_rate": 2.4324324324324327e-05,
|
| 2026 |
+
"loss": 0.0698,
|
| 2027 |
+
"step": 2930
|
| 2028 |
+
},
|
| 2029 |
+
{
|
| 2030 |
+
"epoch": 8.83,
|
| 2031 |
+
"learning_rate": 2.3723723723723725e-05,
|
| 2032 |
+
"loss": 0.0426,
|
| 2033 |
+
"step": 2940
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 8.86,
|
| 2037 |
+
"learning_rate": 2.3123123123123125e-05,
|
| 2038 |
+
"loss": 0.155,
|
| 2039 |
+
"step": 2950
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 8.89,
|
| 2043 |
+
"learning_rate": 2.2522522522522523e-05,
|
| 2044 |
+
"loss": 0.118,
|
| 2045 |
+
"step": 2960
|
| 2046 |
+
},
|
| 2047 |
+
{
|
| 2048 |
+
"epoch": 8.92,
|
| 2049 |
+
"learning_rate": 2.1921921921921924e-05,
|
| 2050 |
+
"loss": 0.1174,
|
| 2051 |
+
"step": 2970
|
| 2052 |
+
},
|
| 2053 |
+
{
|
| 2054 |
+
"epoch": 8.95,
|
| 2055 |
+
"learning_rate": 2.132132132132132e-05,
|
| 2056 |
+
"loss": 0.1205,
|
| 2057 |
+
"step": 2980
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 8.98,
|
| 2061 |
+
"learning_rate": 2.0720720720720722e-05,
|
| 2062 |
+
"loss": 0.0585,
|
| 2063 |
+
"step": 2990
|
| 2064 |
+
},
|
| 2065 |
+
{
|
| 2066 |
+
"epoch": 9.01,
|
| 2067 |
+
"learning_rate": 2.012012012012012e-05,
|
| 2068 |
+
"loss": 0.1903,
|
| 2069 |
+
"step": 3000
|
| 2070 |
+
},
|
| 2071 |
+
{
|
| 2072 |
+
"epoch": 9.01,
|
| 2073 |
+
"eval_accuracy": 0.9383634431455898,
|
| 2074 |
+
"eval_loss": 0.3077952265739441,
|
| 2075 |
+
"eval_runtime": 43.3819,
|
| 2076 |
+
"eval_samples_per_second": 21.691,
|
| 2077 |
+
"eval_steps_per_second": 2.72,
|
| 2078 |
+
"step": 3000
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 9.04,
|
| 2082 |
+
"learning_rate": 1.951951951951952e-05,
|
| 2083 |
+
"loss": 0.0579,
|
| 2084 |
+
"step": 3010
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 9.07,
|
| 2088 |
+
"learning_rate": 1.891891891891892e-05,
|
| 2089 |
+
"loss": 0.1152,
|
| 2090 |
+
"step": 3020
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 9.1,
|
| 2094 |
+
"learning_rate": 1.831831831831832e-05,
|
| 2095 |
+
"loss": 0.0329,
|
| 2096 |
+
"step": 3030
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 9.13,
|
| 2100 |
+
"learning_rate": 1.771771771771772e-05,
|
| 2101 |
+
"loss": 0.1108,
|
| 2102 |
+
"step": 3040
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 9.16,
|
| 2106 |
+
"learning_rate": 1.7117117117117117e-05,
|
| 2107 |
+
"loss": 0.1499,
|
| 2108 |
+
"step": 3050
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 9.19,
|
| 2112 |
+
"learning_rate": 1.6516516516516518e-05,
|
| 2113 |
+
"loss": 0.0679,
|
| 2114 |
+
"step": 3060
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 9.22,
|
| 2118 |
+
"learning_rate": 1.5915915915915915e-05,
|
| 2119 |
+
"loss": 0.0834,
|
| 2120 |
+
"step": 3070
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 9.25,
|
| 2124 |
+
"learning_rate": 1.5315315315315316e-05,
|
| 2125 |
+
"loss": 0.1488,
|
| 2126 |
+
"step": 3080
|
| 2127 |
+
},
|
| 2128 |
+
{
|
| 2129 |
+
"epoch": 9.28,
|
| 2130 |
+
"learning_rate": 1.4714714714714713e-05,
|
| 2131 |
+
"loss": 0.0965,
|
| 2132 |
+
"step": 3090
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"epoch": 9.31,
|
| 2136 |
+
"learning_rate": 1.4114114114114116e-05,
|
| 2137 |
+
"loss": 0.2116,
|
| 2138 |
+
"step": 3100
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 9.31,
|
| 2142 |
+
"eval_accuracy": 0.9341126461211477,
|
| 2143 |
+
"eval_loss": 0.31116607785224915,
|
| 2144 |
+
"eval_runtime": 42.4775,
|
| 2145 |
+
"eval_samples_per_second": 22.153,
|
| 2146 |
+
"eval_steps_per_second": 2.778,
|
| 2147 |
+
"step": 3100
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 9.34,
|
| 2151 |
+
"learning_rate": 1.3513513513513515e-05,
|
| 2152 |
+
"loss": 0.0979,
|
| 2153 |
+
"step": 3110
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 9.37,
|
| 2157 |
+
"learning_rate": 1.2912912912912914e-05,
|
| 2158 |
+
"loss": 0.1489,
|
| 2159 |
+
"step": 3120
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 9.4,
|
| 2163 |
+
"learning_rate": 1.2312312312312313e-05,
|
| 2164 |
+
"loss": 0.0512,
|
| 2165 |
+
"step": 3130
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 9.43,
|
| 2169 |
+
"learning_rate": 1.1711711711711713e-05,
|
| 2170 |
+
"loss": 0.0908,
|
| 2171 |
+
"step": 3140
|
| 2172 |
+
},
|
| 2173 |
+
{
|
| 2174 |
+
"epoch": 9.46,
|
| 2175 |
+
"learning_rate": 1.1111111111111112e-05,
|
| 2176 |
+
"loss": 0.0914,
|
| 2177 |
+
"step": 3150
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 9.49,
|
| 2181 |
+
"learning_rate": 1.051051051051051e-05,
|
| 2182 |
+
"loss": 0.0726,
|
| 2183 |
+
"step": 3160
|
| 2184 |
+
},
|
| 2185 |
+
{
|
| 2186 |
+
"epoch": 9.52,
|
| 2187 |
+
"learning_rate": 9.90990990990991e-06,
|
| 2188 |
+
"loss": 0.0876,
|
| 2189 |
+
"step": 3170
|
| 2190 |
+
},
|
| 2191 |
+
{
|
| 2192 |
+
"epoch": 9.55,
|
| 2193 |
+
"learning_rate": 9.309309309309309e-06,
|
| 2194 |
+
"loss": 0.153,
|
| 2195 |
+
"step": 3180
|
| 2196 |
+
},
|
| 2197 |
+
{
|
| 2198 |
+
"epoch": 9.58,
|
| 2199 |
+
"learning_rate": 8.708708708708708e-06,
|
| 2200 |
+
"loss": 0.1306,
|
| 2201 |
+
"step": 3190
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 9.61,
|
| 2205 |
+
"learning_rate": 8.108108108108109e-06,
|
| 2206 |
+
"loss": 0.1415,
|
| 2207 |
+
"step": 3200
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 9.61,
|
| 2211 |
+
"eval_accuracy": 0.9404888416578109,
|
| 2212 |
+
"eval_loss": 0.29556912183761597,
|
| 2213 |
+
"eval_runtime": 43.4001,
|
| 2214 |
+
"eval_samples_per_second": 21.682,
|
| 2215 |
+
"eval_steps_per_second": 2.719,
|
| 2216 |
+
"step": 3200
|
| 2217 |
+
},
|
| 2218 |
+
{
|
| 2219 |
+
"epoch": 9.64,
|
| 2220 |
+
"learning_rate": 7.507507507507508e-06,
|
| 2221 |
+
"loss": 0.0865,
|
| 2222 |
+
"step": 3210
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 9.67,
|
| 2226 |
+
"learning_rate": 6.906906906906907e-06,
|
| 2227 |
+
"loss": 0.0654,
|
| 2228 |
+
"step": 3220
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 9.7,
|
| 2232 |
+
"learning_rate": 6.306306306306306e-06,
|
| 2233 |
+
"loss": 0.1104,
|
| 2234 |
+
"step": 3230
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 9.73,
|
| 2238 |
+
"learning_rate": 5.705705705705706e-06,
|
| 2239 |
+
"loss": 0.0943,
|
| 2240 |
+
"step": 3240
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 9.76,
|
| 2244 |
+
"learning_rate": 5.105105105105106e-06,
|
| 2245 |
+
"loss": 0.1215,
|
| 2246 |
+
"step": 3250
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 9.79,
|
| 2250 |
+
"learning_rate": 4.504504504504505e-06,
|
| 2251 |
+
"loss": 0.1062,
|
| 2252 |
+
"step": 3260
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"epoch": 9.82,
|
| 2256 |
+
"learning_rate": 3.903903903903904e-06,
|
| 2257 |
+
"loss": 0.122,
|
| 2258 |
+
"step": 3270
|
| 2259 |
+
},
|
| 2260 |
+
{
|
| 2261 |
+
"epoch": 9.85,
|
| 2262 |
+
"learning_rate": 3.3033033033033035e-06,
|
| 2263 |
+
"loss": 0.0634,
|
| 2264 |
+
"step": 3280
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 9.88,
|
| 2268 |
+
"learning_rate": 2.702702702702703e-06,
|
| 2269 |
+
"loss": 0.1094,
|
| 2270 |
+
"step": 3290
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 9.91,
|
| 2274 |
+
"learning_rate": 2.102102102102102e-06,
|
| 2275 |
+
"loss": 0.1106,
|
| 2276 |
+
"step": 3300
|
| 2277 |
+
},
|
| 2278 |
+
{
|
| 2279 |
+
"epoch": 9.91,
|
| 2280 |
+
"eval_accuracy": 0.9436769394261424,
|
| 2281 |
+
"eval_loss": 0.2909798324108124,
|
| 2282 |
+
"eval_runtime": 42.5282,
|
| 2283 |
+
"eval_samples_per_second": 22.126,
|
| 2284 |
+
"eval_steps_per_second": 2.775,
|
| 2285 |
+
"step": 3300
|
| 2286 |
+
},
|
| 2287 |
+
{
|
| 2288 |
+
"epoch": 9.94,
|
| 2289 |
+
"learning_rate": 1.5015015015015015e-06,
|
| 2290 |
+
"loss": 0.026,
|
| 2291 |
+
"step": 3310
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 9.97,
|
| 2295 |
+
"learning_rate": 9.00900900900901e-07,
|
| 2296 |
+
"loss": 0.0736,
|
| 2297 |
+
"step": 3320
|
| 2298 |
+
},
|
| 2299 |
+
{
|
| 2300 |
+
"epoch": 10.0,
|
| 2301 |
+
"learning_rate": 3.003003003003003e-07,
|
| 2302 |
+
"loss": 0.0909,
|
| 2303 |
+
"step": 3330
|
| 2304 |
+
},
|
| 2305 |
+
{
|
| 2306 |
+
"epoch": 10.0,
|
| 2307 |
+
"step": 3330,
|
| 2308 |
+
"total_flos": 4.175139032456233e+18,
|
| 2309 |
+
"train_loss": 0.31485966012642547,
|
| 2310 |
+
"train_runtime": 4358.8867,
|
| 2311 |
+
"train_samples_per_second": 12.223,
|
| 2312 |
+
"train_steps_per_second": 0.764
|
| 2313 |
+
}
|
| 2314 |
+
],
|
| 2315 |
+
"max_steps": 3330,
|
| 2316 |
+
"num_train_epochs": 10,
|
| 2317 |
+
"total_flos": 4.175139032456233e+18,
|
| 2318 |
+
"trial_name": null,
|
| 2319 |
+
"trial_params": null
|
| 2320 |
+
}
|