End of training
Browse files- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Feb19_18-28-14_536c1f7857ce/events.out.tfevents.1676860332.536c1f7857ce.416.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +2263 -0
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.6998319625011055,
|
| 4 |
+
"eval_f1": 0.6999146124635052,
|
| 5 |
+
"eval_loss": 0.8297391533851624,
|
| 6 |
+
"eval_precision": 0.7022095243425648,
|
| 7 |
+
"eval_recall": 0.6998319625011055,
|
| 8 |
+
"eval_runtime": 335.2538,
|
| 9 |
+
"eval_samples_per_second": 33.727,
|
| 10 |
+
"eval_steps_per_second": 1.056,
|
| 11 |
+
"total_flos": 3.5044145509209285e+19,
|
| 12 |
+
"train_loss": 0.9149793551934002,
|
| 13 |
+
"train_runtime": 28607.4466,
|
| 14 |
+
"train_samples_per_second": 15.809,
|
| 15 |
+
"train_steps_per_second": 0.123
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.6998319625011055,
|
| 4 |
+
"eval_f1": 0.6999146124635052,
|
| 5 |
+
"eval_loss": 0.8297391533851624,
|
| 6 |
+
"eval_precision": 0.7022095243425648,
|
| 7 |
+
"eval_recall": 0.6998319625011055,
|
| 8 |
+
"eval_runtime": 335.2538,
|
| 9 |
+
"eval_samples_per_second": 33.727,
|
| 10 |
+
"eval_steps_per_second": 1.056
|
| 11 |
+
}
|
runs/Feb19_18-28-14_536c1f7857ce/events.out.tfevents.1676860332.536c1f7857ce.416.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd7ad2e99ffb6b9d06f7ef17a831eb4e8ac5e8734374a459f0527030f4c6a5a4
|
| 3 |
+
size 512
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"total_flos": 3.5044145509209285e+19,
|
| 4 |
+
"train_loss": 0.9149793551934002,
|
| 5 |
+
"train_runtime": 28607.4466,
|
| 6 |
+
"train_samples_per_second": 15.809,
|
| 7 |
+
"train_steps_per_second": 0.123
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2263 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.6999146124635052,
|
| 3 |
+
"best_model_checkpoint": "hq_fer2013notestaugM/checkpoint-3177",
|
| 4 |
+
"epoch": 9.998585572842998,
|
| 5 |
+
"global_step": 3530,
|
| 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": 2.8328611898017e-07,
|
| 13 |
+
"loss": 1.9396,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.06,
|
| 18 |
+
"learning_rate": 5.6657223796034e-07,
|
| 19 |
+
"loss": 1.9372,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.08,
|
| 24 |
+
"learning_rate": 8.4985835694051e-07,
|
| 25 |
+
"loss": 1.9325,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.11,
|
| 30 |
+
"learning_rate": 1.13314447592068e-06,
|
| 31 |
+
"loss": 1.9313,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.14,
|
| 36 |
+
"learning_rate": 1.41643059490085e-06,
|
| 37 |
+
"loss": 1.9326,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.17,
|
| 42 |
+
"learning_rate": 1.69971671388102e-06,
|
| 43 |
+
"loss": 1.9266,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.2,
|
| 48 |
+
"learning_rate": 1.98300283286119e-06,
|
| 49 |
+
"loss": 1.9246,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.23,
|
| 54 |
+
"learning_rate": 2.26628895184136e-06,
|
| 55 |
+
"loss": 1.9173,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.25,
|
| 60 |
+
"learning_rate": 2.54957507082153e-06,
|
| 61 |
+
"loss": 1.9115,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.28,
|
| 66 |
+
"learning_rate": 2.8328611898017e-06,
|
| 67 |
+
"loss": 1.9067,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.31,
|
| 72 |
+
"learning_rate": 3.11614730878187e-06,
|
| 73 |
+
"loss": 1.8943,
|
| 74 |
+
"step": 110
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.34,
|
| 78 |
+
"learning_rate": 3.39943342776204e-06,
|
| 79 |
+
"loss": 1.8876,
|
| 80 |
+
"step": 120
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.37,
|
| 84 |
+
"learning_rate": 3.68271954674221e-06,
|
| 85 |
+
"loss": 1.8771,
|
| 86 |
+
"step": 130
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.4,
|
| 90 |
+
"learning_rate": 3.96600566572238e-06,
|
| 91 |
+
"loss": 1.8685,
|
| 92 |
+
"step": 140
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.42,
|
| 96 |
+
"learning_rate": 4.24929178470255e-06,
|
| 97 |
+
"loss": 1.8511,
|
| 98 |
+
"step": 150
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.45,
|
| 102 |
+
"learning_rate": 4.53257790368272e-06,
|
| 103 |
+
"loss": 1.8359,
|
| 104 |
+
"step": 160
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.48,
|
| 108 |
+
"learning_rate": 4.81586402266289e-06,
|
| 109 |
+
"loss": 1.8159,
|
| 110 |
+
"step": 170
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.51,
|
| 114 |
+
"learning_rate": 5.09915014164306e-06,
|
| 115 |
+
"loss": 1.7941,
|
| 116 |
+
"step": 180
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.54,
|
| 120 |
+
"learning_rate": 5.382436260623229e-06,
|
| 121 |
+
"loss": 1.7734,
|
| 122 |
+
"step": 190
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.57,
|
| 126 |
+
"learning_rate": 5.6657223796034e-06,
|
| 127 |
+
"loss": 1.7345,
|
| 128 |
+
"step": 200
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.59,
|
| 132 |
+
"learning_rate": 5.9490084985835695e-06,
|
| 133 |
+
"loss": 1.7244,
|
| 134 |
+
"step": 210
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.62,
|
| 138 |
+
"learning_rate": 6.23229461756374e-06,
|
| 139 |
+
"loss": 1.6518,
|
| 140 |
+
"step": 220
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.65,
|
| 144 |
+
"learning_rate": 6.51558073654391e-06,
|
| 145 |
+
"loss": 1.6384,
|
| 146 |
+
"step": 230
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.68,
|
| 150 |
+
"learning_rate": 6.79886685552408e-06,
|
| 151 |
+
"loss": 1.5812,
|
| 152 |
+
"step": 240
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.71,
|
| 156 |
+
"learning_rate": 7.082152974504249e-06,
|
| 157 |
+
"loss": 1.5845,
|
| 158 |
+
"step": 250
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.74,
|
| 162 |
+
"learning_rate": 7.36543909348442e-06,
|
| 163 |
+
"loss": 1.5438,
|
| 164 |
+
"step": 260
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.76,
|
| 168 |
+
"learning_rate": 7.64872521246459e-06,
|
| 169 |
+
"loss": 1.4838,
|
| 170 |
+
"step": 270
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.79,
|
| 174 |
+
"learning_rate": 7.93201133144476e-06,
|
| 175 |
+
"loss": 1.4631,
|
| 176 |
+
"step": 280
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.82,
|
| 180 |
+
"learning_rate": 8.215297450424929e-06,
|
| 181 |
+
"loss": 1.4308,
|
| 182 |
+
"step": 290
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.85,
|
| 186 |
+
"learning_rate": 8.4985835694051e-06,
|
| 187 |
+
"loss": 1.4088,
|
| 188 |
+
"step": 300
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.88,
|
| 192 |
+
"learning_rate": 8.78186968838527e-06,
|
| 193 |
+
"loss": 1.3938,
|
| 194 |
+
"step": 310
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.91,
|
| 198 |
+
"learning_rate": 9.06515580736544e-06,
|
| 199 |
+
"loss": 1.3423,
|
| 200 |
+
"step": 320
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.93,
|
| 204 |
+
"learning_rate": 9.34844192634561e-06,
|
| 205 |
+
"loss": 1.3211,
|
| 206 |
+
"step": 330
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.96,
|
| 210 |
+
"learning_rate": 9.63172804532578e-06,
|
| 211 |
+
"loss": 1.3197,
|
| 212 |
+
"step": 340
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.99,
|
| 216 |
+
"learning_rate": 9.91501416430595e-06,
|
| 217 |
+
"loss": 1.2858,
|
| 218 |
+
"step": 350
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 1.0,
|
| 222 |
+
"eval_accuracy": 0.5545237463518174,
|
| 223 |
+
"eval_f1": 0.5122245135719901,
|
| 224 |
+
"eval_loss": 1.2814059257507324,
|
| 225 |
+
"eval_precision": 0.5431752227356587,
|
| 226 |
+
"eval_recall": 0.5545237463518174,
|
| 227 |
+
"eval_runtime": 333.001,
|
| 228 |
+
"eval_samples_per_second": 33.955,
|
| 229 |
+
"eval_steps_per_second": 1.063,
|
| 230 |
+
"step": 353
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 1.02,
|
| 234 |
+
"learning_rate": 9.977966635190433e-06,
|
| 235 |
+
"loss": 1.3717,
|
| 236 |
+
"step": 360
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 1.05,
|
| 240 |
+
"learning_rate": 9.946490399748192e-06,
|
| 241 |
+
"loss": 1.2267,
|
| 242 |
+
"step": 370
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 1.08,
|
| 246 |
+
"learning_rate": 9.91501416430595e-06,
|
| 247 |
+
"loss": 1.2461,
|
| 248 |
+
"step": 380
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.1,
|
| 252 |
+
"learning_rate": 9.883537928863708e-06,
|
| 253 |
+
"loss": 1.2069,
|
| 254 |
+
"step": 390
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.13,
|
| 258 |
+
"learning_rate": 9.852061693421467e-06,
|
| 259 |
+
"loss": 1.2097,
|
| 260 |
+
"step": 400
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 1.16,
|
| 264 |
+
"learning_rate": 9.820585457979227e-06,
|
| 265 |
+
"loss": 1.2063,
|
| 266 |
+
"step": 410
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 1.19,
|
| 270 |
+
"learning_rate": 9.789109222536986e-06,
|
| 271 |
+
"loss": 1.1918,
|
| 272 |
+
"step": 420
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 1.22,
|
| 276 |
+
"learning_rate": 9.757632987094745e-06,
|
| 277 |
+
"loss": 1.1887,
|
| 278 |
+
"step": 430
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 1.25,
|
| 282 |
+
"learning_rate": 9.726156751652504e-06,
|
| 283 |
+
"loss": 1.1611,
|
| 284 |
+
"step": 440
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.27,
|
| 288 |
+
"learning_rate": 9.694680516210261e-06,
|
| 289 |
+
"loss": 1.1886,
|
| 290 |
+
"step": 450
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.3,
|
| 294 |
+
"learning_rate": 9.66320428076802e-06,
|
| 295 |
+
"loss": 1.1775,
|
| 296 |
+
"step": 460
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.33,
|
| 300 |
+
"learning_rate": 9.63172804532578e-06,
|
| 301 |
+
"loss": 1.1253,
|
| 302 |
+
"step": 470
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 1.36,
|
| 306 |
+
"learning_rate": 9.600251809883539e-06,
|
| 307 |
+
"loss": 1.1337,
|
| 308 |
+
"step": 480
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 1.39,
|
| 312 |
+
"learning_rate": 9.568775574441298e-06,
|
| 313 |
+
"loss": 1.1639,
|
| 314 |
+
"step": 490
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 1.42,
|
| 318 |
+
"learning_rate": 9.537299338999057e-06,
|
| 319 |
+
"loss": 1.151,
|
| 320 |
+
"step": 500
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 1.44,
|
| 324 |
+
"learning_rate": 9.505823103556814e-06,
|
| 325 |
+
"loss": 1.1099,
|
| 326 |
+
"step": 510
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 1.47,
|
| 330 |
+
"learning_rate": 9.474346868114575e-06,
|
| 331 |
+
"loss": 1.1148,
|
| 332 |
+
"step": 520
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.5,
|
| 336 |
+
"learning_rate": 9.442870632672332e-06,
|
| 337 |
+
"loss": 1.128,
|
| 338 |
+
"step": 530
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.53,
|
| 342 |
+
"learning_rate": 9.411394397230093e-06,
|
| 343 |
+
"loss": 1.1183,
|
| 344 |
+
"step": 540
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 1.56,
|
| 348 |
+
"learning_rate": 9.37991816178785e-06,
|
| 349 |
+
"loss": 1.0734,
|
| 350 |
+
"step": 550
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.59,
|
| 354 |
+
"learning_rate": 9.34844192634561e-06,
|
| 355 |
+
"loss": 1.1166,
|
| 356 |
+
"step": 560
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 1.61,
|
| 360 |
+
"learning_rate": 9.316965690903369e-06,
|
| 361 |
+
"loss": 1.0831,
|
| 362 |
+
"step": 570
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 1.64,
|
| 366 |
+
"learning_rate": 9.285489455461128e-06,
|
| 367 |
+
"loss": 1.0546,
|
| 368 |
+
"step": 580
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 1.67,
|
| 372 |
+
"learning_rate": 9.254013220018887e-06,
|
| 373 |
+
"loss": 1.0714,
|
| 374 |
+
"step": 590
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.7,
|
| 378 |
+
"learning_rate": 9.222536984576646e-06,
|
| 379 |
+
"loss": 1.0744,
|
| 380 |
+
"step": 600
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.73,
|
| 384 |
+
"learning_rate": 9.191060749134404e-06,
|
| 385 |
+
"loss": 1.0775,
|
| 386 |
+
"step": 610
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 1.76,
|
| 390 |
+
"learning_rate": 9.159584513692163e-06,
|
| 391 |
+
"loss": 1.1157,
|
| 392 |
+
"step": 620
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 1.78,
|
| 396 |
+
"learning_rate": 9.128108278249922e-06,
|
| 397 |
+
"loss": 1.0622,
|
| 398 |
+
"step": 630
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 1.81,
|
| 402 |
+
"learning_rate": 9.096632042807681e-06,
|
| 403 |
+
"loss": 1.0237,
|
| 404 |
+
"step": 640
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 1.84,
|
| 408 |
+
"learning_rate": 9.06515580736544e-06,
|
| 409 |
+
"loss": 1.0493,
|
| 410 |
+
"step": 650
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 1.87,
|
| 414 |
+
"learning_rate": 9.033679571923199e-06,
|
| 415 |
+
"loss": 1.0306,
|
| 416 |
+
"step": 660
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.9,
|
| 420 |
+
"learning_rate": 9.002203336480958e-06,
|
| 421 |
+
"loss": 1.0579,
|
| 422 |
+
"step": 670
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.93,
|
| 426 |
+
"learning_rate": 8.970727101038716e-06,
|
| 427 |
+
"loss": 1.0788,
|
| 428 |
+
"step": 680
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 1.95,
|
| 432 |
+
"learning_rate": 8.939250865596475e-06,
|
| 433 |
+
"loss": 1.0559,
|
| 434 |
+
"step": 690
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 1.98,
|
| 438 |
+
"learning_rate": 8.907774630154234e-06,
|
| 439 |
+
"loss": 1.0247,
|
| 440 |
+
"step": 700
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 2.0,
|
| 444 |
+
"eval_accuracy": 0.6288140090209605,
|
| 445 |
+
"eval_f1": 0.6135740404225875,
|
| 446 |
+
"eval_loss": 1.0342609882354736,
|
| 447 |
+
"eval_precision": 0.6235435699661211,
|
| 448 |
+
"eval_recall": 0.6288140090209605,
|
| 449 |
+
"eval_runtime": 326.0618,
|
| 450 |
+
"eval_samples_per_second": 34.677,
|
| 451 |
+
"eval_steps_per_second": 1.086,
|
| 452 |
+
"step": 706
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.01,
|
| 456 |
+
"learning_rate": 8.876298394711993e-06,
|
| 457 |
+
"loss": 1.0803,
|
| 458 |
+
"step": 710
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 2.04,
|
| 462 |
+
"learning_rate": 8.844822159269752e-06,
|
| 463 |
+
"loss": 1.0011,
|
| 464 |
+
"step": 720
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.07,
|
| 468 |
+
"learning_rate": 8.813345923827511e-06,
|
| 469 |
+
"loss": 0.9931,
|
| 470 |
+
"step": 730
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 2.1,
|
| 474 |
+
"learning_rate": 8.78186968838527e-06,
|
| 475 |
+
"loss": 0.9953,
|
| 476 |
+
"step": 740
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.12,
|
| 480 |
+
"learning_rate": 8.75039345294303e-06,
|
| 481 |
+
"loss": 0.9752,
|
| 482 |
+
"step": 750
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 2.15,
|
| 486 |
+
"learning_rate": 8.718917217500787e-06,
|
| 487 |
+
"loss": 1.0203,
|
| 488 |
+
"step": 760
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 2.18,
|
| 492 |
+
"learning_rate": 8.687440982058548e-06,
|
| 493 |
+
"loss": 1.0056,
|
| 494 |
+
"step": 770
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.21,
|
| 498 |
+
"learning_rate": 8.655964746616305e-06,
|
| 499 |
+
"loss": 0.9677,
|
| 500 |
+
"step": 780
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 2.24,
|
| 504 |
+
"learning_rate": 8.624488511174064e-06,
|
| 505 |
+
"loss": 1.0072,
|
| 506 |
+
"step": 790
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.27,
|
| 510 |
+
"learning_rate": 8.593012275731823e-06,
|
| 511 |
+
"loss": 0.9771,
|
| 512 |
+
"step": 800
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 2.29,
|
| 516 |
+
"learning_rate": 8.561536040289582e-06,
|
| 517 |
+
"loss": 1.0006,
|
| 518 |
+
"step": 810
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 2.32,
|
| 522 |
+
"learning_rate": 8.53005980484734e-06,
|
| 523 |
+
"loss": 0.9872,
|
| 524 |
+
"step": 820
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 2.35,
|
| 528 |
+
"learning_rate": 8.4985835694051e-06,
|
| 529 |
+
"loss": 1.0059,
|
| 530 |
+
"step": 830
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 2.38,
|
| 534 |
+
"learning_rate": 8.467107333962858e-06,
|
| 535 |
+
"loss": 0.9547,
|
| 536 |
+
"step": 840
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.41,
|
| 540 |
+
"learning_rate": 8.435631098520619e-06,
|
| 541 |
+
"loss": 0.9941,
|
| 542 |
+
"step": 850
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 2.44,
|
| 546 |
+
"learning_rate": 8.404154863078376e-06,
|
| 547 |
+
"loss": 0.9536,
|
| 548 |
+
"step": 860
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.46,
|
| 552 |
+
"learning_rate": 8.372678627636135e-06,
|
| 553 |
+
"loss": 1.0144,
|
| 554 |
+
"step": 870
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 2.49,
|
| 558 |
+
"learning_rate": 8.341202392193894e-06,
|
| 559 |
+
"loss": 0.9211,
|
| 560 |
+
"step": 880
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 2.52,
|
| 564 |
+
"learning_rate": 8.309726156751653e-06,
|
| 565 |
+
"loss": 0.9589,
|
| 566 |
+
"step": 890
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 2.55,
|
| 570 |
+
"learning_rate": 8.278249921309413e-06,
|
| 571 |
+
"loss": 0.9474,
|
| 572 |
+
"step": 900
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 2.58,
|
| 576 |
+
"learning_rate": 8.246773685867172e-06,
|
| 577 |
+
"loss": 0.9686,
|
| 578 |
+
"step": 910
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.61,
|
| 582 |
+
"learning_rate": 8.215297450424929e-06,
|
| 583 |
+
"loss": 0.9035,
|
| 584 |
+
"step": 920
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 2.63,
|
| 588 |
+
"learning_rate": 8.183821214982688e-06,
|
| 589 |
+
"loss": 0.9512,
|
| 590 |
+
"step": 930
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.66,
|
| 594 |
+
"learning_rate": 8.152344979540447e-06,
|
| 595 |
+
"loss": 0.9357,
|
| 596 |
+
"step": 940
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 2.69,
|
| 600 |
+
"learning_rate": 8.120868744098206e-06,
|
| 601 |
+
"loss": 0.9689,
|
| 602 |
+
"step": 950
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 2.72,
|
| 606 |
+
"learning_rate": 8.089392508655966e-06,
|
| 607 |
+
"loss": 0.9181,
|
| 608 |
+
"step": 960
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 2.75,
|
| 612 |
+
"learning_rate": 8.057916273213725e-06,
|
| 613 |
+
"loss": 0.9799,
|
| 614 |
+
"step": 970
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 2.78,
|
| 618 |
+
"learning_rate": 8.026440037771484e-06,
|
| 619 |
+
"loss": 0.9487,
|
| 620 |
+
"step": 980
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.8,
|
| 624 |
+
"learning_rate": 7.994963802329241e-06,
|
| 625 |
+
"loss": 0.9624,
|
| 626 |
+
"step": 990
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 2.83,
|
| 630 |
+
"learning_rate": 7.963487566887e-06,
|
| 631 |
+
"loss": 0.9725,
|
| 632 |
+
"step": 1000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.86,
|
| 636 |
+
"learning_rate": 7.93201133144476e-06,
|
| 637 |
+
"loss": 0.9632,
|
| 638 |
+
"step": 1010
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 2.89,
|
| 642 |
+
"learning_rate": 7.900535096002518e-06,
|
| 643 |
+
"loss": 0.901,
|
| 644 |
+
"step": 1020
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 2.92,
|
| 648 |
+
"learning_rate": 7.869058860560278e-06,
|
| 649 |
+
"loss": 0.9307,
|
| 650 |
+
"step": 1030
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 2.94,
|
| 654 |
+
"learning_rate": 7.837582625118037e-06,
|
| 655 |
+
"loss": 0.9438,
|
| 656 |
+
"step": 1040
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 2.97,
|
| 660 |
+
"learning_rate": 7.806106389675794e-06,
|
| 661 |
+
"loss": 0.9403,
|
| 662 |
+
"step": 1050
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 3.0,
|
| 666 |
+
"eval_accuracy": 0.6606526930220218,
|
| 667 |
+
"eval_f1": 0.6522485946989532,
|
| 668 |
+
"eval_loss": 0.9499703049659729,
|
| 669 |
+
"eval_precision": 0.6591555259267519,
|
| 670 |
+
"eval_recall": 0.6606526930220218,
|
| 671 |
+
"eval_runtime": 326.9143,
|
| 672 |
+
"eval_samples_per_second": 34.587,
|
| 673 |
+
"eval_steps_per_second": 1.083,
|
| 674 |
+
"step": 1059
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 3.0,
|
| 678 |
+
"learning_rate": 7.774630154233555e-06,
|
| 679 |
+
"loss": 0.9586,
|
| 680 |
+
"step": 1060
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 3.03,
|
| 684 |
+
"learning_rate": 7.743153918791312e-06,
|
| 685 |
+
"loss": 0.9108,
|
| 686 |
+
"step": 1070
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 3.06,
|
| 690 |
+
"learning_rate": 7.711677683349073e-06,
|
| 691 |
+
"loss": 0.8975,
|
| 692 |
+
"step": 1080
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 3.09,
|
| 696 |
+
"learning_rate": 7.68020144790683e-06,
|
| 697 |
+
"loss": 0.8858,
|
| 698 |
+
"step": 1090
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 3.12,
|
| 702 |
+
"learning_rate": 7.64872521246459e-06,
|
| 703 |
+
"loss": 0.9063,
|
| 704 |
+
"step": 1100
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 3.14,
|
| 708 |
+
"learning_rate": 7.617248977022349e-06,
|
| 709 |
+
"loss": 0.9176,
|
| 710 |
+
"step": 1110
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 3.17,
|
| 714 |
+
"learning_rate": 7.585772741580108e-06,
|
| 715 |
+
"loss": 0.9077,
|
| 716 |
+
"step": 1120
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 3.2,
|
| 720 |
+
"learning_rate": 7.554296506137867e-06,
|
| 721 |
+
"loss": 0.8904,
|
| 722 |
+
"step": 1130
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 3.23,
|
| 726 |
+
"learning_rate": 7.522820270695625e-06,
|
| 727 |
+
"loss": 0.9058,
|
| 728 |
+
"step": 1140
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 3.26,
|
| 732 |
+
"learning_rate": 7.491344035253384e-06,
|
| 733 |
+
"loss": 0.891,
|
| 734 |
+
"step": 1150
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 3.29,
|
| 738 |
+
"learning_rate": 7.4598677998111434e-06,
|
| 739 |
+
"loss": 0.8987,
|
| 740 |
+
"step": 1160
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 3.31,
|
| 744 |
+
"learning_rate": 7.428391564368902e-06,
|
| 745 |
+
"loss": 0.8513,
|
| 746 |
+
"step": 1170
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 3.34,
|
| 750 |
+
"learning_rate": 7.396915328926662e-06,
|
| 751 |
+
"loss": 0.8618,
|
| 752 |
+
"step": 1180
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 3.37,
|
| 756 |
+
"learning_rate": 7.36543909348442e-06,
|
| 757 |
+
"loss": 0.9109,
|
| 758 |
+
"step": 1190
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 3.4,
|
| 762 |
+
"learning_rate": 7.333962858042178e-06,
|
| 763 |
+
"loss": 0.8657,
|
| 764 |
+
"step": 1200
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 3.43,
|
| 768 |
+
"learning_rate": 7.302486622599938e-06,
|
| 769 |
+
"loss": 0.8856,
|
| 770 |
+
"step": 1210
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 3.46,
|
| 774 |
+
"learning_rate": 7.271010387157696e-06,
|
| 775 |
+
"loss": 0.9221,
|
| 776 |
+
"step": 1220
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 3.48,
|
| 780 |
+
"learning_rate": 7.239534151715455e-06,
|
| 781 |
+
"loss": 0.8731,
|
| 782 |
+
"step": 1230
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 3.51,
|
| 786 |
+
"learning_rate": 7.208057916273215e-06,
|
| 787 |
+
"loss": 0.8531,
|
| 788 |
+
"step": 1240
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 3.54,
|
| 792 |
+
"learning_rate": 7.176581680830973e-06,
|
| 793 |
+
"loss": 0.8751,
|
| 794 |
+
"step": 1250
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 3.57,
|
| 798 |
+
"learning_rate": 7.145105445388733e-06,
|
| 799 |
+
"loss": 0.9432,
|
| 800 |
+
"step": 1260
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 3.6,
|
| 804 |
+
"learning_rate": 7.113629209946491e-06,
|
| 805 |
+
"loss": 0.8926,
|
| 806 |
+
"step": 1270
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 3.63,
|
| 810 |
+
"learning_rate": 7.082152974504249e-06,
|
| 811 |
+
"loss": 0.8456,
|
| 812 |
+
"step": 1280
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 3.65,
|
| 816 |
+
"learning_rate": 7.050676739062009e-06,
|
| 817 |
+
"loss": 0.8764,
|
| 818 |
+
"step": 1290
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 3.68,
|
| 822 |
+
"learning_rate": 7.0192005036197675e-06,
|
| 823 |
+
"loss": 0.8566,
|
| 824 |
+
"step": 1300
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 3.71,
|
| 828 |
+
"learning_rate": 6.987724268177527e-06,
|
| 829 |
+
"loss": 0.886,
|
| 830 |
+
"step": 1310
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 3.74,
|
| 834 |
+
"learning_rate": 6.956248032735286e-06,
|
| 835 |
+
"loss": 0.8618,
|
| 836 |
+
"step": 1320
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 3.77,
|
| 840 |
+
"learning_rate": 6.924771797293044e-06,
|
| 841 |
+
"loss": 0.8622,
|
| 842 |
+
"step": 1330
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 3.79,
|
| 846 |
+
"learning_rate": 6.893295561850803e-06,
|
| 847 |
+
"loss": 0.857,
|
| 848 |
+
"step": 1340
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 3.82,
|
| 852 |
+
"learning_rate": 6.861819326408562e-06,
|
| 853 |
+
"loss": 0.8449,
|
| 854 |
+
"step": 1350
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 3.85,
|
| 858 |
+
"learning_rate": 6.830343090966321e-06,
|
| 859 |
+
"loss": 0.8671,
|
| 860 |
+
"step": 1360
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 3.88,
|
| 864 |
+
"learning_rate": 6.79886685552408e-06,
|
| 865 |
+
"loss": 0.8534,
|
| 866 |
+
"step": 1370
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 3.91,
|
| 870 |
+
"learning_rate": 6.767390620081839e-06,
|
| 871 |
+
"loss": 0.8277,
|
| 872 |
+
"step": 1380
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 3.94,
|
| 876 |
+
"learning_rate": 6.735914384639598e-06,
|
| 877 |
+
"loss": 0.8816,
|
| 878 |
+
"step": 1390
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 3.96,
|
| 882 |
+
"learning_rate": 6.704438149197356e-06,
|
| 883 |
+
"loss": 0.8682,
|
| 884 |
+
"step": 1400
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 3.99,
|
| 888 |
+
"learning_rate": 6.672961913755115e-06,
|
| 889 |
+
"loss": 0.8501,
|
| 890 |
+
"step": 1410
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 4.0,
|
| 894 |
+
"eval_accuracy": 0.6802865481560095,
|
| 895 |
+
"eval_f1": 0.6760402772900678,
|
| 896 |
+
"eval_loss": 0.8971089124679565,
|
| 897 |
+
"eval_precision": 0.6760672912456882,
|
| 898 |
+
"eval_recall": 0.6802865481560095,
|
| 899 |
+
"eval_runtime": 327.0927,
|
| 900 |
+
"eval_samples_per_second": 34.568,
|
| 901 |
+
"eval_steps_per_second": 1.082,
|
| 902 |
+
"step": 1412
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 4.02,
|
| 906 |
+
"learning_rate": 6.641485678312874e-06,
|
| 907 |
+
"loss": 0.8996,
|
| 908 |
+
"step": 1420
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 4.05,
|
| 912 |
+
"learning_rate": 6.6100094428706325e-06,
|
| 913 |
+
"loss": 0.797,
|
| 914 |
+
"step": 1430
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 4.08,
|
| 918 |
+
"learning_rate": 6.5785332074283925e-06,
|
| 919 |
+
"loss": 0.8466,
|
| 920 |
+
"step": 1440
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 4.11,
|
| 924 |
+
"learning_rate": 6.547056971986151e-06,
|
| 925 |
+
"loss": 0.8575,
|
| 926 |
+
"step": 1450
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 4.14,
|
| 930 |
+
"learning_rate": 6.51558073654391e-06,
|
| 931 |
+
"loss": 0.8142,
|
| 932 |
+
"step": 1460
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 4.16,
|
| 936 |
+
"learning_rate": 6.484104501101669e-06,
|
| 937 |
+
"loss": 0.8328,
|
| 938 |
+
"step": 1470
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 4.19,
|
| 942 |
+
"learning_rate": 6.452628265659427e-06,
|
| 943 |
+
"loss": 0.8703,
|
| 944 |
+
"step": 1480
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 4.22,
|
| 948 |
+
"learning_rate": 6.421152030217187e-06,
|
| 949 |
+
"loss": 0.8141,
|
| 950 |
+
"step": 1490
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 4.25,
|
| 954 |
+
"learning_rate": 6.3896757947749454e-06,
|
| 955 |
+
"loss": 0.8101,
|
| 956 |
+
"step": 1500
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 4.28,
|
| 960 |
+
"learning_rate": 6.358199559332704e-06,
|
| 961 |
+
"loss": 0.8666,
|
| 962 |
+
"step": 1510
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 4.31,
|
| 966 |
+
"learning_rate": 6.326723323890464e-06,
|
| 967 |
+
"loss": 0.8095,
|
| 968 |
+
"step": 1520
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 4.33,
|
| 972 |
+
"learning_rate": 6.295247088448222e-06,
|
| 973 |
+
"loss": 0.8407,
|
| 974 |
+
"step": 1530
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 4.36,
|
| 978 |
+
"learning_rate": 6.263770853005982e-06,
|
| 979 |
+
"loss": 0.7865,
|
| 980 |
+
"step": 1540
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 4.39,
|
| 984 |
+
"learning_rate": 6.23229461756374e-06,
|
| 985 |
+
"loss": 0.8422,
|
| 986 |
+
"step": 1550
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 4.42,
|
| 990 |
+
"learning_rate": 6.200818382121498e-06,
|
| 991 |
+
"loss": 0.8377,
|
| 992 |
+
"step": 1560
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 4.45,
|
| 996 |
+
"learning_rate": 6.169342146679258e-06,
|
| 997 |
+
"loss": 0.8692,
|
| 998 |
+
"step": 1570
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 4.48,
|
| 1002 |
+
"learning_rate": 6.137865911237017e-06,
|
| 1003 |
+
"loss": 0.8257,
|
| 1004 |
+
"step": 1580
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 4.5,
|
| 1008 |
+
"learning_rate": 6.106389675794775e-06,
|
| 1009 |
+
"loss": 0.7972,
|
| 1010 |
+
"step": 1590
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 4.53,
|
| 1014 |
+
"learning_rate": 6.074913440352535e-06,
|
| 1015 |
+
"loss": 0.8064,
|
| 1016 |
+
"step": 1600
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 4.56,
|
| 1020 |
+
"learning_rate": 6.043437204910293e-06,
|
| 1021 |
+
"loss": 0.8145,
|
| 1022 |
+
"step": 1610
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 4.59,
|
| 1026 |
+
"learning_rate": 6.011960969468052e-06,
|
| 1027 |
+
"loss": 0.8655,
|
| 1028 |
+
"step": 1620
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 4.62,
|
| 1032 |
+
"learning_rate": 5.980484734025811e-06,
|
| 1033 |
+
"loss": 0.8088,
|
| 1034 |
+
"step": 1630
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 4.64,
|
| 1038 |
+
"learning_rate": 5.9490084985835695e-06,
|
| 1039 |
+
"loss": 0.7936,
|
| 1040 |
+
"step": 1640
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 4.67,
|
| 1044 |
+
"learning_rate": 5.917532263141329e-06,
|
| 1045 |
+
"loss": 0.8018,
|
| 1046 |
+
"step": 1650
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 4.7,
|
| 1050 |
+
"learning_rate": 5.886056027699088e-06,
|
| 1051 |
+
"loss": 0.7975,
|
| 1052 |
+
"step": 1660
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 4.73,
|
| 1056 |
+
"learning_rate": 5.854579792256847e-06,
|
| 1057 |
+
"loss": 0.8434,
|
| 1058 |
+
"step": 1670
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 4.76,
|
| 1062 |
+
"learning_rate": 5.823103556814605e-06,
|
| 1063 |
+
"loss": 0.8153,
|
| 1064 |
+
"step": 1680
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 4.79,
|
| 1068 |
+
"learning_rate": 5.791627321372364e-06,
|
| 1069 |
+
"loss": 0.8244,
|
| 1070 |
+
"step": 1690
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 4.81,
|
| 1074 |
+
"learning_rate": 5.760151085930123e-06,
|
| 1075 |
+
"loss": 0.81,
|
| 1076 |
+
"step": 1700
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 4.84,
|
| 1080 |
+
"learning_rate": 5.728674850487882e-06,
|
| 1081 |
+
"loss": 0.8323,
|
| 1082 |
+
"step": 1710
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 4.87,
|
| 1086 |
+
"learning_rate": 5.6971986150456415e-06,
|
| 1087 |
+
"loss": 0.7752,
|
| 1088 |
+
"step": 1720
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 4.9,
|
| 1092 |
+
"learning_rate": 5.6657223796034e-06,
|
| 1093 |
+
"loss": 0.8074,
|
| 1094 |
+
"step": 1730
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 4.93,
|
| 1098 |
+
"learning_rate": 5.634246144161158e-06,
|
| 1099 |
+
"loss": 0.7975,
|
| 1100 |
+
"step": 1740
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 4.96,
|
| 1104 |
+
"learning_rate": 5.602769908718918e-06,
|
| 1105 |
+
"loss": 0.8391,
|
| 1106 |
+
"step": 1750
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 4.98,
|
| 1110 |
+
"learning_rate": 5.571293673276676e-06,
|
| 1111 |
+
"loss": 0.8148,
|
| 1112 |
+
"step": 1760
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 5.0,
|
| 1116 |
+
"eval_accuracy": 0.6856814362784116,
|
| 1117 |
+
"eval_f1": 0.685421574309762,
|
| 1118 |
+
"eval_loss": 0.873296320438385,
|
| 1119 |
+
"eval_precision": 0.6880833294843167,
|
| 1120 |
+
"eval_recall": 0.6856814362784116,
|
| 1121 |
+
"eval_runtime": 324.485,
|
| 1122 |
+
"eval_samples_per_second": 34.846,
|
| 1123 |
+
"eval_steps_per_second": 1.091,
|
| 1124 |
+
"step": 1765
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 5.01,
|
| 1128 |
+
"learning_rate": 5.5398174378344345e-06,
|
| 1129 |
+
"loss": 0.8198,
|
| 1130 |
+
"step": 1770
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 5.04,
|
| 1134 |
+
"learning_rate": 5.5083412023921945e-06,
|
| 1135 |
+
"loss": 0.7889,
|
| 1136 |
+
"step": 1780
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 5.07,
|
| 1140 |
+
"learning_rate": 5.476864966949953e-06,
|
| 1141 |
+
"loss": 0.7909,
|
| 1142 |
+
"step": 1790
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 5.1,
|
| 1146 |
+
"learning_rate": 5.445388731507713e-06,
|
| 1147 |
+
"loss": 0.7854,
|
| 1148 |
+
"step": 1800
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 5.13,
|
| 1152 |
+
"learning_rate": 5.413912496065471e-06,
|
| 1153 |
+
"loss": 0.7871,
|
| 1154 |
+
"step": 1810
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 5.16,
|
| 1158 |
+
"learning_rate": 5.382436260623229e-06,
|
| 1159 |
+
"loss": 0.7673,
|
| 1160 |
+
"step": 1820
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 5.18,
|
| 1164 |
+
"learning_rate": 5.350960025180989e-06,
|
| 1165 |
+
"loss": 0.7493,
|
| 1166 |
+
"step": 1830
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 5.21,
|
| 1170 |
+
"learning_rate": 5.3194837897387474e-06,
|
| 1171 |
+
"loss": 0.7953,
|
| 1172 |
+
"step": 1840
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 5.24,
|
| 1176 |
+
"learning_rate": 5.288007554296507e-06,
|
| 1177 |
+
"loss": 0.831,
|
| 1178 |
+
"step": 1850
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 5.27,
|
| 1182 |
+
"learning_rate": 5.256531318854266e-06,
|
| 1183 |
+
"loss": 0.7678,
|
| 1184 |
+
"step": 1860
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 5.3,
|
| 1188 |
+
"learning_rate": 5.225055083412024e-06,
|
| 1189 |
+
"loss": 0.7809,
|
| 1190 |
+
"step": 1870
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 5.33,
|
| 1194 |
+
"learning_rate": 5.193578847969784e-06,
|
| 1195 |
+
"loss": 0.8247,
|
| 1196 |
+
"step": 1880
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 5.35,
|
| 1200 |
+
"learning_rate": 5.162102612527542e-06,
|
| 1201 |
+
"loss": 0.8201,
|
| 1202 |
+
"step": 1890
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 5.38,
|
| 1206 |
+
"learning_rate": 5.130626377085301e-06,
|
| 1207 |
+
"loss": 0.7721,
|
| 1208 |
+
"step": 1900
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 5.41,
|
| 1212 |
+
"learning_rate": 5.09915014164306e-06,
|
| 1213 |
+
"loss": 0.7709,
|
| 1214 |
+
"step": 1910
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 5.44,
|
| 1218 |
+
"learning_rate": 5.067673906200819e-06,
|
| 1219 |
+
"loss": 0.7757,
|
| 1220 |
+
"step": 1920
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 5.47,
|
| 1224 |
+
"learning_rate": 5.036197670758578e-06,
|
| 1225 |
+
"loss": 0.809,
|
| 1226 |
+
"step": 1930
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 5.5,
|
| 1230 |
+
"learning_rate": 5.004721435316337e-06,
|
| 1231 |
+
"loss": 0.7553,
|
| 1232 |
+
"step": 1940
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 5.52,
|
| 1236 |
+
"learning_rate": 4.973245199874096e-06,
|
| 1237 |
+
"loss": 0.8157,
|
| 1238 |
+
"step": 1950
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 5.55,
|
| 1242 |
+
"learning_rate": 4.941768964431854e-06,
|
| 1243 |
+
"loss": 0.7409,
|
| 1244 |
+
"step": 1960
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 5.58,
|
| 1248 |
+
"learning_rate": 4.910292728989613e-06,
|
| 1249 |
+
"loss": 0.7412,
|
| 1250 |
+
"step": 1970
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 5.61,
|
| 1254 |
+
"learning_rate": 4.878816493547372e-06,
|
| 1255 |
+
"loss": 0.8036,
|
| 1256 |
+
"step": 1980
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 5.64,
|
| 1260 |
+
"learning_rate": 4.847340258105131e-06,
|
| 1261 |
+
"loss": 0.8074,
|
| 1262 |
+
"step": 1990
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 5.66,
|
| 1266 |
+
"learning_rate": 4.81586402266289e-06,
|
| 1267 |
+
"loss": 0.803,
|
| 1268 |
+
"step": 2000
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 5.69,
|
| 1272 |
+
"learning_rate": 4.784387787220649e-06,
|
| 1273 |
+
"loss": 0.7577,
|
| 1274 |
+
"step": 2010
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 5.72,
|
| 1278 |
+
"learning_rate": 4.752911551778407e-06,
|
| 1279 |
+
"loss": 0.7432,
|
| 1280 |
+
"step": 2020
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 5.75,
|
| 1284 |
+
"learning_rate": 4.721435316336166e-06,
|
| 1285 |
+
"loss": 0.7096,
|
| 1286 |
+
"step": 2030
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 5.78,
|
| 1290 |
+
"learning_rate": 4.689959080893925e-06,
|
| 1291 |
+
"loss": 0.7942,
|
| 1292 |
+
"step": 2040
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 5.81,
|
| 1296 |
+
"learning_rate": 4.6584828454516844e-06,
|
| 1297 |
+
"loss": 0.7659,
|
| 1298 |
+
"step": 2050
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 5.83,
|
| 1302 |
+
"learning_rate": 4.6270066100094435e-06,
|
| 1303 |
+
"loss": 0.7768,
|
| 1304 |
+
"step": 2060
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 5.86,
|
| 1308 |
+
"learning_rate": 4.595530374567202e-06,
|
| 1309 |
+
"loss": 0.8028,
|
| 1310 |
+
"step": 2070
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 5.89,
|
| 1314 |
+
"learning_rate": 4.564054139124961e-06,
|
| 1315 |
+
"loss": 0.81,
|
| 1316 |
+
"step": 2080
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 5.92,
|
| 1320 |
+
"learning_rate": 4.53257790368272e-06,
|
| 1321 |
+
"loss": 0.7667,
|
| 1322 |
+
"step": 2090
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 5.95,
|
| 1326 |
+
"learning_rate": 4.501101668240479e-06,
|
| 1327 |
+
"loss": 0.8109,
|
| 1328 |
+
"step": 2100
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 5.98,
|
| 1332 |
+
"learning_rate": 4.469625432798237e-06,
|
| 1333 |
+
"loss": 0.7898,
|
| 1334 |
+
"step": 2110
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 6.0,
|
| 1338 |
+
"eval_accuracy": 0.6913416467674892,
|
| 1339 |
+
"eval_f1": 0.6888127658536334,
|
| 1340 |
+
"eval_loss": 0.8526361584663391,
|
| 1341 |
+
"eval_precision": 0.6911291055014825,
|
| 1342 |
+
"eval_recall": 0.6913416467674892,
|
| 1343 |
+
"eval_runtime": 327.2319,
|
| 1344 |
+
"eval_samples_per_second": 34.553,
|
| 1345 |
+
"eval_steps_per_second": 1.082,
|
| 1346 |
+
"step": 2118
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 6.01,
|
| 1350 |
+
"learning_rate": 4.4381491973559965e-06,
|
| 1351 |
+
"loss": 0.7771,
|
| 1352 |
+
"step": 2120
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 6.03,
|
| 1356 |
+
"learning_rate": 4.406672961913756e-06,
|
| 1357 |
+
"loss": 0.7278,
|
| 1358 |
+
"step": 2130
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 6.06,
|
| 1362 |
+
"learning_rate": 4.375196726471515e-06,
|
| 1363 |
+
"loss": 0.7372,
|
| 1364 |
+
"step": 2140
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 6.09,
|
| 1368 |
+
"learning_rate": 4.343720491029274e-06,
|
| 1369 |
+
"loss": 0.7411,
|
| 1370 |
+
"step": 2150
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 6.12,
|
| 1374 |
+
"learning_rate": 4.312244255587032e-06,
|
| 1375 |
+
"loss": 0.7973,
|
| 1376 |
+
"step": 2160
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 6.15,
|
| 1380 |
+
"learning_rate": 4.280768020144791e-06,
|
| 1381 |
+
"loss": 0.7526,
|
| 1382 |
+
"step": 2170
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 6.18,
|
| 1386 |
+
"learning_rate": 4.24929178470255e-06,
|
| 1387 |
+
"loss": 0.7706,
|
| 1388 |
+
"step": 2180
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 6.2,
|
| 1392 |
+
"learning_rate": 4.217815549260309e-06,
|
| 1393 |
+
"loss": 0.7605,
|
| 1394 |
+
"step": 2190
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 6.23,
|
| 1398 |
+
"learning_rate": 4.186339313818068e-06,
|
| 1399 |
+
"loss": 0.7216,
|
| 1400 |
+
"step": 2200
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 6.26,
|
| 1404 |
+
"learning_rate": 4.154863078375827e-06,
|
| 1405 |
+
"loss": 0.7944,
|
| 1406 |
+
"step": 2210
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 6.29,
|
| 1410 |
+
"learning_rate": 4.123386842933586e-06,
|
| 1411 |
+
"loss": 0.7374,
|
| 1412 |
+
"step": 2220
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 6.32,
|
| 1416 |
+
"learning_rate": 4.091910607491344e-06,
|
| 1417 |
+
"loss": 0.7128,
|
| 1418 |
+
"step": 2230
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 6.35,
|
| 1422 |
+
"learning_rate": 4.060434372049103e-06,
|
| 1423 |
+
"loss": 0.7644,
|
| 1424 |
+
"step": 2240
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 6.37,
|
| 1428 |
+
"learning_rate": 4.028958136606862e-06,
|
| 1429 |
+
"loss": 0.7381,
|
| 1430 |
+
"step": 2250
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 6.4,
|
| 1434 |
+
"learning_rate": 3.997481901164621e-06,
|
| 1435 |
+
"loss": 0.7309,
|
| 1436 |
+
"step": 2260
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 6.43,
|
| 1440 |
+
"learning_rate": 3.96600566572238e-06,
|
| 1441 |
+
"loss": 0.7149,
|
| 1442 |
+
"step": 2270
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 6.46,
|
| 1446 |
+
"learning_rate": 3.934529430280139e-06,
|
| 1447 |
+
"loss": 0.8118,
|
| 1448 |
+
"step": 2280
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 6.49,
|
| 1452 |
+
"learning_rate": 3.903053194837897e-06,
|
| 1453 |
+
"loss": 0.7818,
|
| 1454 |
+
"step": 2290
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 6.51,
|
| 1458 |
+
"learning_rate": 3.871576959395656e-06,
|
| 1459 |
+
"loss": 0.7372,
|
| 1460 |
+
"step": 2300
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 6.54,
|
| 1464 |
+
"learning_rate": 3.840100723953415e-06,
|
| 1465 |
+
"loss": 0.7401,
|
| 1466 |
+
"step": 2310
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 6.57,
|
| 1470 |
+
"learning_rate": 3.8086244885111744e-06,
|
| 1471 |
+
"loss": 0.7598,
|
| 1472 |
+
"step": 2320
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 6.6,
|
| 1476 |
+
"learning_rate": 3.7771482530689335e-06,
|
| 1477 |
+
"loss": 0.7223,
|
| 1478 |
+
"step": 2330
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 6.63,
|
| 1482 |
+
"learning_rate": 3.745672017626692e-06,
|
| 1483 |
+
"loss": 0.7462,
|
| 1484 |
+
"step": 2340
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 6.66,
|
| 1488 |
+
"learning_rate": 3.714195782184451e-06,
|
| 1489 |
+
"loss": 0.7563,
|
| 1490 |
+
"step": 2350
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 6.68,
|
| 1494 |
+
"learning_rate": 3.68271954674221e-06,
|
| 1495 |
+
"loss": 0.7643,
|
| 1496 |
+
"step": 2360
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 6.71,
|
| 1500 |
+
"learning_rate": 3.651243311299969e-06,
|
| 1501 |
+
"loss": 0.7298,
|
| 1502 |
+
"step": 2370
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 6.74,
|
| 1506 |
+
"learning_rate": 3.6197670758577273e-06,
|
| 1507 |
+
"loss": 0.7303,
|
| 1508 |
+
"step": 2380
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 6.77,
|
| 1512 |
+
"learning_rate": 3.5882908404154864e-06,
|
| 1513 |
+
"loss": 0.7668,
|
| 1514 |
+
"step": 2390
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 6.8,
|
| 1518 |
+
"learning_rate": 3.5568146049732455e-06,
|
| 1519 |
+
"loss": 0.7257,
|
| 1520 |
+
"step": 2400
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 6.83,
|
| 1524 |
+
"learning_rate": 3.5253383695310046e-06,
|
| 1525 |
+
"loss": 0.7326,
|
| 1526 |
+
"step": 2410
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 6.85,
|
| 1530 |
+
"learning_rate": 3.4938621340887633e-06,
|
| 1531 |
+
"loss": 0.7217,
|
| 1532 |
+
"step": 2420
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 6.88,
|
| 1536 |
+
"learning_rate": 3.462385898646522e-06,
|
| 1537 |
+
"loss": 0.7941,
|
| 1538 |
+
"step": 2430
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 6.91,
|
| 1542 |
+
"learning_rate": 3.430909663204281e-06,
|
| 1543 |
+
"loss": 0.7393,
|
| 1544 |
+
"step": 2440
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 6.94,
|
| 1548 |
+
"learning_rate": 3.39943342776204e-06,
|
| 1549 |
+
"loss": 0.7542,
|
| 1550 |
+
"step": 2450
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 6.97,
|
| 1554 |
+
"learning_rate": 3.367957192319799e-06,
|
| 1555 |
+
"loss": 0.7464,
|
| 1556 |
+
"step": 2460
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 7.0,
|
| 1560 |
+
"learning_rate": 3.3364809568775576e-06,
|
| 1561 |
+
"loss": 0.7074,
|
| 1562 |
+
"step": 2470
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 7.0,
|
| 1566 |
+
"eval_accuracy": 0.6958521270009729,
|
| 1567 |
+
"eval_f1": 0.6952840578720214,
|
| 1568 |
+
"eval_loss": 0.840837836265564,
|
| 1569 |
+
"eval_precision": 0.6971422528714606,
|
| 1570 |
+
"eval_recall": 0.6958521270009729,
|
| 1571 |
+
"eval_runtime": 325.4461,
|
| 1572 |
+
"eval_samples_per_second": 34.743,
|
| 1573 |
+
"eval_steps_per_second": 1.088,
|
| 1574 |
+
"step": 2471
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 7.03,
|
| 1578 |
+
"learning_rate": 3.3050047214353163e-06,
|
| 1579 |
+
"loss": 0.7885,
|
| 1580 |
+
"step": 2480
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 7.05,
|
| 1584 |
+
"learning_rate": 3.2735284859930754e-06,
|
| 1585 |
+
"loss": 0.7209,
|
| 1586 |
+
"step": 2490
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 7.08,
|
| 1590 |
+
"learning_rate": 3.2420522505508345e-06,
|
| 1591 |
+
"loss": 0.7331,
|
| 1592 |
+
"step": 2500
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 7.11,
|
| 1596 |
+
"learning_rate": 3.2105760151085936e-06,
|
| 1597 |
+
"loss": 0.7092,
|
| 1598 |
+
"step": 2510
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 7.14,
|
| 1602 |
+
"learning_rate": 3.179099779666352e-06,
|
| 1603 |
+
"loss": 0.6885,
|
| 1604 |
+
"step": 2520
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 7.17,
|
| 1608 |
+
"learning_rate": 3.147623544224111e-06,
|
| 1609 |
+
"loss": 0.7096,
|
| 1610 |
+
"step": 2530
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 7.2,
|
| 1614 |
+
"learning_rate": 3.11614730878187e-06,
|
| 1615 |
+
"loss": 0.7398,
|
| 1616 |
+
"step": 2540
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 7.22,
|
| 1620 |
+
"learning_rate": 3.084671073339629e-06,
|
| 1621 |
+
"loss": 0.6973,
|
| 1622 |
+
"step": 2550
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 7.25,
|
| 1626 |
+
"learning_rate": 3.0531948378973874e-06,
|
| 1627 |
+
"loss": 0.7058,
|
| 1628 |
+
"step": 2560
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 7.28,
|
| 1632 |
+
"learning_rate": 3.0217186024551465e-06,
|
| 1633 |
+
"loss": 0.7044,
|
| 1634 |
+
"step": 2570
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 7.31,
|
| 1638 |
+
"learning_rate": 2.9902423670129056e-06,
|
| 1639 |
+
"loss": 0.7623,
|
| 1640 |
+
"step": 2580
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 7.34,
|
| 1644 |
+
"learning_rate": 2.9587661315706643e-06,
|
| 1645 |
+
"loss": 0.7405,
|
| 1646 |
+
"step": 2590
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 7.36,
|
| 1650 |
+
"learning_rate": 2.9272898961284234e-06,
|
| 1651 |
+
"loss": 0.7305,
|
| 1652 |
+
"step": 2600
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 7.39,
|
| 1656 |
+
"learning_rate": 2.895813660686182e-06,
|
| 1657 |
+
"loss": 0.7685,
|
| 1658 |
+
"step": 2610
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 7.42,
|
| 1662 |
+
"learning_rate": 2.864337425243941e-06,
|
| 1663 |
+
"loss": 0.7283,
|
| 1664 |
+
"step": 2620
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 7.45,
|
| 1668 |
+
"learning_rate": 2.8328611898017e-06,
|
| 1669 |
+
"loss": 0.7408,
|
| 1670 |
+
"step": 2630
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 7.48,
|
| 1674 |
+
"learning_rate": 2.801384954359459e-06,
|
| 1675 |
+
"loss": 0.7085,
|
| 1676 |
+
"step": 2640
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 7.51,
|
| 1680 |
+
"learning_rate": 2.7699087189172173e-06,
|
| 1681 |
+
"loss": 0.6837,
|
| 1682 |
+
"step": 2650
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 7.53,
|
| 1686 |
+
"learning_rate": 2.7384324834749764e-06,
|
| 1687 |
+
"loss": 0.6925,
|
| 1688 |
+
"step": 2660
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 7.56,
|
| 1692 |
+
"learning_rate": 2.7069562480327355e-06,
|
| 1693 |
+
"loss": 0.7173,
|
| 1694 |
+
"step": 2670
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 7.59,
|
| 1698 |
+
"learning_rate": 2.6754800125904946e-06,
|
| 1699 |
+
"loss": 0.704,
|
| 1700 |
+
"step": 2680
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 7.62,
|
| 1704 |
+
"learning_rate": 2.6440037771482537e-06,
|
| 1705 |
+
"loss": 0.7445,
|
| 1706 |
+
"step": 2690
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 7.65,
|
| 1710 |
+
"learning_rate": 2.612527541706012e-06,
|
| 1711 |
+
"loss": 0.7379,
|
| 1712 |
+
"step": 2700
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 7.68,
|
| 1716 |
+
"learning_rate": 2.581051306263771e-06,
|
| 1717 |
+
"loss": 0.7597,
|
| 1718 |
+
"step": 2710
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 7.7,
|
| 1722 |
+
"learning_rate": 2.54957507082153e-06,
|
| 1723 |
+
"loss": 0.6948,
|
| 1724 |
+
"step": 2720
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 7.73,
|
| 1728 |
+
"learning_rate": 2.518098835379289e-06,
|
| 1729 |
+
"loss": 0.724,
|
| 1730 |
+
"step": 2730
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 7.76,
|
| 1734 |
+
"learning_rate": 2.486622599937048e-06,
|
| 1735 |
+
"loss": 0.6875,
|
| 1736 |
+
"step": 2740
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 7.79,
|
| 1740 |
+
"learning_rate": 2.4551463644948066e-06,
|
| 1741 |
+
"loss": 0.7314,
|
| 1742 |
+
"step": 2750
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 7.82,
|
| 1746 |
+
"learning_rate": 2.4236701290525653e-06,
|
| 1747 |
+
"loss": 0.7149,
|
| 1748 |
+
"step": 2760
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 7.85,
|
| 1752 |
+
"learning_rate": 2.3921938936103244e-06,
|
| 1753 |
+
"loss": 0.6907,
|
| 1754 |
+
"step": 2770
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 7.87,
|
| 1758 |
+
"learning_rate": 2.360717658168083e-06,
|
| 1759 |
+
"loss": 0.7527,
|
| 1760 |
+
"step": 2780
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 7.9,
|
| 1764 |
+
"learning_rate": 2.3292414227258422e-06,
|
| 1765 |
+
"loss": 0.7125,
|
| 1766 |
+
"step": 2790
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 7.93,
|
| 1770 |
+
"learning_rate": 2.297765187283601e-06,
|
| 1771 |
+
"loss": 0.738,
|
| 1772 |
+
"step": 2800
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"epoch": 7.96,
|
| 1776 |
+
"learning_rate": 2.26628895184136e-06,
|
| 1777 |
+
"loss": 0.7524,
|
| 1778 |
+
"step": 2810
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 7.99,
|
| 1782 |
+
"learning_rate": 2.2348127163991187e-06,
|
| 1783 |
+
"loss": 0.7273,
|
| 1784 |
+
"step": 2820
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 8.0,
|
| 1788 |
+
"eval_accuracy": 0.6979747059343769,
|
| 1789 |
+
"eval_f1": 0.6949271443194357,
|
| 1790 |
+
"eval_loss": 0.8360838294029236,
|
| 1791 |
+
"eval_precision": 0.6970505008964258,
|
| 1792 |
+
"eval_recall": 0.6979747059343769,
|
| 1793 |
+
"eval_runtime": 326.7725,
|
| 1794 |
+
"eval_samples_per_second": 34.602,
|
| 1795 |
+
"eval_steps_per_second": 1.083,
|
| 1796 |
+
"step": 2824
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 8.02,
|
| 1800 |
+
"learning_rate": 2.203336480956878e-06,
|
| 1801 |
+
"loss": 0.7467,
|
| 1802 |
+
"step": 2830
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 8.05,
|
| 1806 |
+
"learning_rate": 2.171860245514637e-06,
|
| 1807 |
+
"loss": 0.7095,
|
| 1808 |
+
"step": 2840
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 8.07,
|
| 1812 |
+
"learning_rate": 2.1403840100723956e-06,
|
| 1813 |
+
"loss": 0.7352,
|
| 1814 |
+
"step": 2850
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 8.1,
|
| 1818 |
+
"learning_rate": 2.1089077746301547e-06,
|
| 1819 |
+
"loss": 0.6881,
|
| 1820 |
+
"step": 2860
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 8.13,
|
| 1824 |
+
"learning_rate": 2.0774315391879134e-06,
|
| 1825 |
+
"loss": 0.7128,
|
| 1826 |
+
"step": 2870
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 8.16,
|
| 1830 |
+
"learning_rate": 2.045955303745672e-06,
|
| 1831 |
+
"loss": 0.6996,
|
| 1832 |
+
"step": 2880
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 8.19,
|
| 1836 |
+
"learning_rate": 2.014479068303431e-06,
|
| 1837 |
+
"loss": 0.6924,
|
| 1838 |
+
"step": 2890
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 8.21,
|
| 1842 |
+
"learning_rate": 1.98300283286119e-06,
|
| 1843 |
+
"loss": 0.7192,
|
| 1844 |
+
"step": 2900
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 8.24,
|
| 1848 |
+
"learning_rate": 1.9515265974189485e-06,
|
| 1849 |
+
"loss": 0.71,
|
| 1850 |
+
"step": 2910
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 8.27,
|
| 1854 |
+
"learning_rate": 1.9200503619767076e-06,
|
| 1855 |
+
"loss": 0.6583,
|
| 1856 |
+
"step": 2920
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 8.3,
|
| 1860 |
+
"learning_rate": 1.8885741265344667e-06,
|
| 1861 |
+
"loss": 0.688,
|
| 1862 |
+
"step": 2930
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 8.33,
|
| 1866 |
+
"learning_rate": 1.8570978910922254e-06,
|
| 1867 |
+
"loss": 0.7189,
|
| 1868 |
+
"step": 2940
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 8.36,
|
| 1872 |
+
"learning_rate": 1.8256216556499845e-06,
|
| 1873 |
+
"loss": 0.6788,
|
| 1874 |
+
"step": 2950
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 8.38,
|
| 1878 |
+
"learning_rate": 1.7941454202077432e-06,
|
| 1879 |
+
"loss": 0.7478,
|
| 1880 |
+
"step": 2960
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 8.41,
|
| 1884 |
+
"learning_rate": 1.7626691847655023e-06,
|
| 1885 |
+
"loss": 0.6639,
|
| 1886 |
+
"step": 2970
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 8.44,
|
| 1890 |
+
"learning_rate": 1.731192949323261e-06,
|
| 1891 |
+
"loss": 0.6611,
|
| 1892 |
+
"step": 2980
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 8.47,
|
| 1896 |
+
"learning_rate": 1.69971671388102e-06,
|
| 1897 |
+
"loss": 0.6962,
|
| 1898 |
+
"step": 2990
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 8.5,
|
| 1902 |
+
"learning_rate": 1.6682404784387788e-06,
|
| 1903 |
+
"loss": 0.7243,
|
| 1904 |
+
"step": 3000
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 8.53,
|
| 1908 |
+
"learning_rate": 1.6367642429965377e-06,
|
| 1909 |
+
"loss": 0.7055,
|
| 1910 |
+
"step": 3010
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 8.55,
|
| 1914 |
+
"learning_rate": 1.6052880075542968e-06,
|
| 1915 |
+
"loss": 0.7012,
|
| 1916 |
+
"step": 3020
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"epoch": 8.58,
|
| 1920 |
+
"learning_rate": 1.5738117721120555e-06,
|
| 1921 |
+
"loss": 0.7254,
|
| 1922 |
+
"step": 3030
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 8.61,
|
| 1926 |
+
"learning_rate": 1.5423355366698146e-06,
|
| 1927 |
+
"loss": 0.7331,
|
| 1928 |
+
"step": 3040
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 8.64,
|
| 1932 |
+
"learning_rate": 1.5108593012275733e-06,
|
| 1933 |
+
"loss": 0.7232,
|
| 1934 |
+
"step": 3050
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 8.67,
|
| 1938 |
+
"learning_rate": 1.4793830657853322e-06,
|
| 1939 |
+
"loss": 0.7048,
|
| 1940 |
+
"step": 3060
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 8.7,
|
| 1944 |
+
"learning_rate": 1.447906830343091e-06,
|
| 1945 |
+
"loss": 0.6746,
|
| 1946 |
+
"step": 3070
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 8.72,
|
| 1950 |
+
"learning_rate": 1.41643059490085e-06,
|
| 1951 |
+
"loss": 0.7003,
|
| 1952 |
+
"step": 3080
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 8.75,
|
| 1956 |
+
"learning_rate": 1.3849543594586086e-06,
|
| 1957 |
+
"loss": 0.722,
|
| 1958 |
+
"step": 3090
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 8.78,
|
| 1962 |
+
"learning_rate": 1.3534781240163677e-06,
|
| 1963 |
+
"loss": 0.6753,
|
| 1964 |
+
"step": 3100
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 8.81,
|
| 1968 |
+
"learning_rate": 1.3220018885741268e-06,
|
| 1969 |
+
"loss": 0.7121,
|
| 1970 |
+
"step": 3110
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 8.84,
|
| 1974 |
+
"learning_rate": 1.2905256531318855e-06,
|
| 1975 |
+
"loss": 0.7367,
|
| 1976 |
+
"step": 3120
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 8.87,
|
| 1980 |
+
"learning_rate": 1.2590494176896444e-06,
|
| 1981 |
+
"loss": 0.6855,
|
| 1982 |
+
"step": 3130
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 8.89,
|
| 1986 |
+
"learning_rate": 1.2275731822474033e-06,
|
| 1987 |
+
"loss": 0.6994,
|
| 1988 |
+
"step": 3140
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 8.92,
|
| 1992 |
+
"learning_rate": 1.1960969468051622e-06,
|
| 1993 |
+
"loss": 0.7058,
|
| 1994 |
+
"step": 3150
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 8.95,
|
| 1998 |
+
"learning_rate": 1.1646207113629211e-06,
|
| 1999 |
+
"loss": 0.6823,
|
| 2000 |
+
"step": 3160
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 8.98,
|
| 2004 |
+
"learning_rate": 1.13314447592068e-06,
|
| 2005 |
+
"loss": 0.6982,
|
| 2006 |
+
"step": 3170
|
| 2007 |
+
},
|
| 2008 |
+
{
|
| 2009 |
+
"epoch": 9.0,
|
| 2010 |
+
"eval_accuracy": 0.6998319625011055,
|
| 2011 |
+
"eval_f1": 0.6999146124635052,
|
| 2012 |
+
"eval_loss": 0.8297391533851624,
|
| 2013 |
+
"eval_precision": 0.7022095243425648,
|
| 2014 |
+
"eval_recall": 0.6998319625011055,
|
| 2015 |
+
"eval_runtime": 327.3955,
|
| 2016 |
+
"eval_samples_per_second": 34.536,
|
| 2017 |
+
"eval_steps_per_second": 1.081,
|
| 2018 |
+
"step": 3177
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 9.01,
|
| 2022 |
+
"learning_rate": 1.101668240478439e-06,
|
| 2023 |
+
"loss": 0.7032,
|
| 2024 |
+
"step": 3180
|
| 2025 |
+
},
|
| 2026 |
+
{
|
| 2027 |
+
"epoch": 9.04,
|
| 2028 |
+
"learning_rate": 1.0701920050361978e-06,
|
| 2029 |
+
"loss": 0.6451,
|
| 2030 |
+
"step": 3190
|
| 2031 |
+
},
|
| 2032 |
+
{
|
| 2033 |
+
"epoch": 9.07,
|
| 2034 |
+
"learning_rate": 1.0387157695939567e-06,
|
| 2035 |
+
"loss": 0.6803,
|
| 2036 |
+
"step": 3200
|
| 2037 |
+
},
|
| 2038 |
+
{
|
| 2039 |
+
"epoch": 9.09,
|
| 2040 |
+
"learning_rate": 1.0072395341517156e-06,
|
| 2041 |
+
"loss": 0.7201,
|
| 2042 |
+
"step": 3210
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 9.12,
|
| 2046 |
+
"learning_rate": 9.757632987094743e-07,
|
| 2047 |
+
"loss": 0.6948,
|
| 2048 |
+
"step": 3220
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 9.15,
|
| 2052 |
+
"learning_rate": 9.442870632672334e-07,
|
| 2053 |
+
"loss": 0.7006,
|
| 2054 |
+
"step": 3230
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 9.18,
|
| 2058 |
+
"learning_rate": 9.128108278249923e-07,
|
| 2059 |
+
"loss": 0.7041,
|
| 2060 |
+
"step": 3240
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 9.21,
|
| 2064 |
+
"learning_rate": 8.813345923827512e-07,
|
| 2065 |
+
"loss": 0.6986,
|
| 2066 |
+
"step": 3250
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 9.23,
|
| 2070 |
+
"learning_rate": 8.4985835694051e-07,
|
| 2071 |
+
"loss": 0.7013,
|
| 2072 |
+
"step": 3260
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 9.26,
|
| 2076 |
+
"learning_rate": 8.183821214982688e-07,
|
| 2077 |
+
"loss": 0.6856,
|
| 2078 |
+
"step": 3270
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 9.29,
|
| 2082 |
+
"learning_rate": 7.869058860560277e-07,
|
| 2083 |
+
"loss": 0.6804,
|
| 2084 |
+
"step": 3280
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 9.32,
|
| 2088 |
+
"learning_rate": 7.554296506137866e-07,
|
| 2089 |
+
"loss": 0.7148,
|
| 2090 |
+
"step": 3290
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 9.35,
|
| 2094 |
+
"learning_rate": 7.239534151715455e-07,
|
| 2095 |
+
"loss": 0.6959,
|
| 2096 |
+
"step": 3300
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 9.38,
|
| 2100 |
+
"learning_rate": 6.924771797293043e-07,
|
| 2101 |
+
"loss": 0.6655,
|
| 2102 |
+
"step": 3310
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 9.4,
|
| 2106 |
+
"learning_rate": 6.610009442870634e-07,
|
| 2107 |
+
"loss": 0.6948,
|
| 2108 |
+
"step": 3320
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 9.43,
|
| 2112 |
+
"learning_rate": 6.295247088448222e-07,
|
| 2113 |
+
"loss": 0.6935,
|
| 2114 |
+
"step": 3330
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 9.46,
|
| 2118 |
+
"learning_rate": 5.980484734025811e-07,
|
| 2119 |
+
"loss": 0.6612,
|
| 2120 |
+
"step": 3340
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 9.49,
|
| 2124 |
+
"learning_rate": 5.6657223796034e-07,
|
| 2125 |
+
"loss": 0.6648,
|
| 2126 |
+
"step": 3350
|
| 2127 |
+
},
|
| 2128 |
+
{
|
| 2129 |
+
"epoch": 9.52,
|
| 2130 |
+
"learning_rate": 5.350960025180989e-07,
|
| 2131 |
+
"loss": 0.6276,
|
| 2132 |
+
"step": 3360
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"epoch": 9.55,
|
| 2136 |
+
"learning_rate": 5.036197670758578e-07,
|
| 2137 |
+
"loss": 0.7007,
|
| 2138 |
+
"step": 3370
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 9.57,
|
| 2142 |
+
"learning_rate": 4.721435316336167e-07,
|
| 2143 |
+
"loss": 0.726,
|
| 2144 |
+
"step": 3380
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 9.6,
|
| 2148 |
+
"learning_rate": 4.406672961913756e-07,
|
| 2149 |
+
"loss": 0.6869,
|
| 2150 |
+
"step": 3390
|
| 2151 |
+
},
|
| 2152 |
+
{
|
| 2153 |
+
"epoch": 9.63,
|
| 2154 |
+
"learning_rate": 4.091910607491344e-07,
|
| 2155 |
+
"loss": 0.7359,
|
| 2156 |
+
"step": 3400
|
| 2157 |
+
},
|
| 2158 |
+
{
|
| 2159 |
+
"epoch": 9.66,
|
| 2160 |
+
"learning_rate": 3.777148253068933e-07,
|
| 2161 |
+
"loss": 0.7079,
|
| 2162 |
+
"step": 3410
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 9.69,
|
| 2166 |
+
"learning_rate": 3.4623858986465216e-07,
|
| 2167 |
+
"loss": 0.6872,
|
| 2168 |
+
"step": 3420
|
| 2169 |
+
},
|
| 2170 |
+
{
|
| 2171 |
+
"epoch": 9.72,
|
| 2172 |
+
"learning_rate": 3.147623544224111e-07,
|
| 2173 |
+
"loss": 0.6855,
|
| 2174 |
+
"step": 3430
|
| 2175 |
+
},
|
| 2176 |
+
{
|
| 2177 |
+
"epoch": 9.74,
|
| 2178 |
+
"learning_rate": 2.8328611898017e-07,
|
| 2179 |
+
"loss": 0.6772,
|
| 2180 |
+
"step": 3440
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 9.77,
|
| 2184 |
+
"learning_rate": 2.518098835379289e-07,
|
| 2185 |
+
"loss": 0.7006,
|
| 2186 |
+
"step": 3450
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 9.8,
|
| 2190 |
+
"learning_rate": 2.203336480956878e-07,
|
| 2191 |
+
"loss": 0.7026,
|
| 2192 |
+
"step": 3460
|
| 2193 |
+
},
|
| 2194 |
+
{
|
| 2195 |
+
"epoch": 9.83,
|
| 2196 |
+
"learning_rate": 1.8885741265344666e-07,
|
| 2197 |
+
"loss": 0.6837,
|
| 2198 |
+
"step": 3470
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"epoch": 9.86,
|
| 2202 |
+
"learning_rate": 1.5738117721120555e-07,
|
| 2203 |
+
"loss": 0.6597,
|
| 2204 |
+
"step": 3480
|
| 2205 |
+
},
|
| 2206 |
+
{
|
| 2207 |
+
"epoch": 9.89,
|
| 2208 |
+
"learning_rate": 1.2590494176896445e-07,
|
| 2209 |
+
"loss": 0.6924,
|
| 2210 |
+
"step": 3490
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 9.91,
|
| 2214 |
+
"learning_rate": 9.442870632672333e-08,
|
| 2215 |
+
"loss": 0.6952,
|
| 2216 |
+
"step": 3500
|
| 2217 |
+
},
|
| 2218 |
+
{
|
| 2219 |
+
"epoch": 9.94,
|
| 2220 |
+
"learning_rate": 6.295247088448222e-08,
|
| 2221 |
+
"loss": 0.7021,
|
| 2222 |
+
"step": 3510
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 9.97,
|
| 2226 |
+
"learning_rate": 3.147623544224111e-08,
|
| 2227 |
+
"loss": 0.6631,
|
| 2228 |
+
"step": 3520
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 10.0,
|
| 2232 |
+
"learning_rate": 0.0,
|
| 2233 |
+
"loss": 0.6994,
|
| 2234 |
+
"step": 3530
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 10.0,
|
| 2238 |
+
"eval_accuracy": 0.6998319625011055,
|
| 2239 |
+
"eval_f1": 0.6991477606968214,
|
| 2240 |
+
"eval_loss": 0.8286696076393127,
|
| 2241 |
+
"eval_precision": 0.7002150749452164,
|
| 2242 |
+
"eval_recall": 0.6998319625011055,
|
| 2243 |
+
"eval_runtime": 329.1215,
|
| 2244 |
+
"eval_samples_per_second": 34.355,
|
| 2245 |
+
"eval_steps_per_second": 1.076,
|
| 2246 |
+
"step": 3530
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 10.0,
|
| 2250 |
+
"step": 3530,
|
| 2251 |
+
"total_flos": 3.5044145509209285e+19,
|
| 2252 |
+
"train_loss": 0.9149793551934002,
|
| 2253 |
+
"train_runtime": 28607.4466,
|
| 2254 |
+
"train_samples_per_second": 15.809,
|
| 2255 |
+
"train_steps_per_second": 0.123
|
| 2256 |
+
}
|
| 2257 |
+
],
|
| 2258 |
+
"max_steps": 3530,
|
| 2259 |
+
"num_train_epochs": 10,
|
| 2260 |
+
"total_flos": 3.5044145509209285e+19,
|
| 2261 |
+
"trial_name": null,
|
| 2262 |
+
"trial_params": null
|
| 2263 |
+
}
|