End of training
Browse files- all_results.json +25 -0
- eval_results.json +12 -0
- predict_results.json +10 -0
- predictions.txt +0 -0
- train_results.json +8 -0
- trainer_state.json +2161 -0
all_results.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 120.0,
|
3 |
+
"eval_accuracy": 0.8296796355048782,
|
4 |
+
"eval_f1": 0.7018599562363238,
|
5 |
+
"eval_loss": 1.8209294080734253,
|
6 |
+
"eval_precision": 0.6879356568364611,
|
7 |
+
"eval_recall": 0.7163595756560581,
|
8 |
+
"eval_runtime": 7.2233,
|
9 |
+
"eval_samples": 1112,
|
10 |
+
"eval_samples_per_second": 153.946,
|
11 |
+
"eval_steps_per_second": 9.691,
|
12 |
+
"predict_accuracy": 0.8337691270446151,
|
13 |
+
"predict_f1": 0.6978635423845624,
|
14 |
+
"predict_loss": 1.762173056602478,
|
15 |
+
"predict_precision": 0.6780500870496853,
|
16 |
+
"predict_recall": 0.7188697998012211,
|
17 |
+
"predict_runtime": 14.232,
|
18 |
+
"predict_samples_per_second": 156.338,
|
19 |
+
"predict_steps_per_second": 9.837,
|
20 |
+
"train_loss": 0.033376370980433,
|
21 |
+
"train_runtime": 20083.166,
|
22 |
+
"train_samples": 7785,
|
23 |
+
"train_samples_per_second": 46.517,
|
24 |
+
"train_steps_per_second": 2.91
|
25 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 120.0,
|
3 |
+
"eval_accuracy": 0.8296796355048782,
|
4 |
+
"eval_f1": 0.7018599562363238,
|
5 |
+
"eval_loss": 1.8209294080734253,
|
6 |
+
"eval_precision": 0.6879356568364611,
|
7 |
+
"eval_recall": 0.7163595756560581,
|
8 |
+
"eval_runtime": 7.2233,
|
9 |
+
"eval_samples": 1112,
|
10 |
+
"eval_samples_per_second": 153.946,
|
11 |
+
"eval_steps_per_second": 9.691
|
12 |
+
}
|
predict_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"predict_accuracy": 0.8337691270446151,
|
3 |
+
"predict_f1": 0.6978635423845624,
|
4 |
+
"predict_loss": 1.762173056602478,
|
5 |
+
"predict_precision": 0.6780500870496853,
|
6 |
+
"predict_recall": 0.7188697998012211,
|
7 |
+
"predict_runtime": 14.232,
|
8 |
+
"predict_samples_per_second": 156.338,
|
9 |
+
"predict_steps_per_second": 9.837
|
10 |
+
}
|
predictions.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 120.0,
|
3 |
+
"train_loss": 0.033376370980433,
|
4 |
+
"train_runtime": 20083.166,
|
5 |
+
"train_samples": 7785,
|
6 |
+
"train_samples_per_second": 46.517,
|
7 |
+
"train_steps_per_second": 2.91
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2161 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7018599562363238,
|
3 |
+
"best_model_checkpoint": "/tmp/test-ner1_/checkpoint-52109",
|
4 |
+
"epoch": 120.0,
|
5 |
+
"global_step": 58440,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 1.0,
|
12 |
+
"eval_accuracy": 0.7978578755277784,
|
13 |
+
"eval_f1": 0.5672056594239515,
|
14 |
+
"eval_loss": 0.6516662240028381,
|
15 |
+
"eval_precision": 0.5179972311952007,
|
16 |
+
"eval_recall": 0.6267448352875489,
|
17 |
+
"eval_runtime": 6.9697,
|
18 |
+
"eval_samples_per_second": 159.549,
|
19 |
+
"eval_steps_per_second": 10.044,
|
20 |
+
"step": 487
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 1.03,
|
24 |
+
"learning_rate": 2.9743326488706367e-05,
|
25 |
+
"loss": 1.0091,
|
26 |
+
"step": 500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 2.0,
|
30 |
+
"eval_accuracy": 0.8116457145583359,
|
31 |
+
"eval_f1": 0.5956049507451376,
|
32 |
+
"eval_loss": 0.6197972893714905,
|
33 |
+
"eval_precision": 0.5438191881918819,
|
34 |
+
"eval_recall": 0.6582914572864321,
|
35 |
+
"eval_runtime": 6.8446,
|
36 |
+
"eval_samples_per_second": 162.464,
|
37 |
+
"eval_steps_per_second": 10.227,
|
38 |
+
"step": 974
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 2.05,
|
42 |
+
"learning_rate": 2.9486652977412733e-05,
|
43 |
+
"loss": 0.5042,
|
44 |
+
"step": 1000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 3.0,
|
48 |
+
"eval_accuracy": 0.8094272560291977,
|
49 |
+
"eval_f1": 0.616483796886961,
|
50 |
+
"eval_loss": 0.6614459753036499,
|
51 |
+
"eval_precision": 0.5676691729323309,
|
52 |
+
"eval_recall": 0.6744835287548855,
|
53 |
+
"eval_runtime": 6.7608,
|
54 |
+
"eval_samples_per_second": 164.478,
|
55 |
+
"eval_steps_per_second": 10.354,
|
56 |
+
"step": 1461
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 3.08,
|
60 |
+
"learning_rate": 2.9229979466119096e-05,
|
61 |
+
"loss": 0.3543,
|
62 |
+
"step": 1500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 4.0,
|
66 |
+
"eval_accuracy": 0.8230719687030367,
|
67 |
+
"eval_f1": 0.6266820453671665,
|
68 |
+
"eval_loss": 0.6793712377548218,
|
69 |
+
"eval_precision": 0.5792466240227434,
|
70 |
+
"eval_recall": 0.6825795644891123,
|
71 |
+
"eval_runtime": 7.0887,
|
72 |
+
"eval_samples_per_second": 156.869,
|
73 |
+
"eval_steps_per_second": 9.875,
|
74 |
+
"step": 1948
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 4.11,
|
78 |
+
"learning_rate": 2.8973305954825462e-05,
|
79 |
+
"loss": 0.2476,
|
80 |
+
"step": 2000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 5.0,
|
84 |
+
"eval_accuracy": 0.8249326113403783,
|
85 |
+
"eval_f1": 0.653114074841383,
|
86 |
+
"eval_loss": 0.7132434248924255,
|
87 |
+
"eval_precision": 0.6090316348708041,
|
88 |
+
"eval_recall": 0.7040759352317141,
|
89 |
+
"eval_runtime": 6.8077,
|
90 |
+
"eval_samples_per_second": 163.344,
|
91 |
+
"eval_steps_per_second": 10.282,
|
92 |
+
"step": 2435
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 5.13,
|
96 |
+
"learning_rate": 2.8716632443531828e-05,
|
97 |
+
"loss": 0.1849,
|
98 |
+
"step": 2500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 6.0,
|
102 |
+
"eval_accuracy": 0.8218553946709286,
|
103 |
+
"eval_f1": 0.6443319049474094,
|
104 |
+
"eval_loss": 0.776131272315979,
|
105 |
+
"eval_precision": 0.6023306627822287,
|
106 |
+
"eval_recall": 0.6926298157453936,
|
107 |
+
"eval_runtime": 6.8192,
|
108 |
+
"eval_samples_per_second": 163.07,
|
109 |
+
"eval_steps_per_second": 10.265,
|
110 |
+
"step": 2922
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 6.16,
|
114 |
+
"learning_rate": 2.8459958932238194e-05,
|
115 |
+
"loss": 0.1465,
|
116 |
+
"step": 3000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 7.0,
|
120 |
+
"eval_accuracy": 0.8172992056487202,
|
121 |
+
"eval_f1": 0.6444159178433889,
|
122 |
+
"eval_loss": 0.8293828368186951,
|
123 |
+
"eval_precision": 0.5964828897338403,
|
124 |
+
"eval_recall": 0.7007258514796203,
|
125 |
+
"eval_runtime": 6.7817,
|
126 |
+
"eval_samples_per_second": 163.971,
|
127 |
+
"eval_steps_per_second": 10.322,
|
128 |
+
"step": 3409
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 7.19,
|
132 |
+
"learning_rate": 2.8203285420944557e-05,
|
133 |
+
"loss": 0.1176,
|
134 |
+
"step": 3500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 8.0,
|
138 |
+
"eval_accuracy": 0.8229765511318909,
|
139 |
+
"eval_f1": 0.6518829549927831,
|
140 |
+
"eval_loss": 0.8652628064155579,
|
141 |
+
"eval_precision": 0.6150037137905422,
|
142 |
+
"eval_recall": 0.6934673366834171,
|
143 |
+
"eval_runtime": 6.8373,
|
144 |
+
"eval_samples_per_second": 162.638,
|
145 |
+
"eval_steps_per_second": 10.238,
|
146 |
+
"step": 3896
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 8.21,
|
150 |
+
"learning_rate": 2.7946611909650923e-05,
|
151 |
+
"loss": 0.1023,
|
152 |
+
"step": 4000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 9.0,
|
156 |
+
"eval_accuracy": 0.822642589632881,
|
157 |
+
"eval_f1": 0.6499869007073618,
|
158 |
+
"eval_loss": 0.8613839745521545,
|
159 |
+
"eval_precision": 0.6122902270483712,
|
160 |
+
"eval_recall": 0.6926298157453936,
|
161 |
+
"eval_runtime": 6.8784,
|
162 |
+
"eval_samples_per_second": 161.665,
|
163 |
+
"eval_steps_per_second": 10.177,
|
164 |
+
"step": 4383
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 9.24,
|
168 |
+
"learning_rate": 2.7689938398357292e-05,
|
169 |
+
"loss": 0.0823,
|
170 |
+
"step": 4500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 10.0,
|
174 |
+
"eval_accuracy": 0.8216168507430643,
|
175 |
+
"eval_f1": 0.6437475396929537,
|
176 |
+
"eval_loss": 0.9824637174606323,
|
177 |
+
"eval_precision": 0.6073285466699678,
|
178 |
+
"eval_recall": 0.6848129536571748,
|
179 |
+
"eval_runtime": 6.8843,
|
180 |
+
"eval_samples_per_second": 161.527,
|
181 |
+
"eval_steps_per_second": 10.168,
|
182 |
+
"step": 4870
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 10.27,
|
186 |
+
"learning_rate": 2.743326488706366e-05,
|
187 |
+
"loss": 0.069,
|
188 |
+
"step": 5000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 11.0,
|
192 |
+
"eval_accuracy": 0.8247894849836598,
|
193 |
+
"eval_f1": 0.6582144743792923,
|
194 |
+
"eval_loss": 0.9782905578613281,
|
195 |
+
"eval_precision": 0.624561403508772,
|
196 |
+
"eval_recall": 0.6957007258514796,
|
197 |
+
"eval_runtime": 6.9683,
|
198 |
+
"eval_samples_per_second": 159.58,
|
199 |
+
"eval_steps_per_second": 10.046,
|
200 |
+
"step": 5357
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 11.29,
|
204 |
+
"learning_rate": 2.717659137577002e-05,
|
205 |
+
"loss": 0.0578,
|
206 |
+
"step": 5500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 12.0,
|
210 |
+
"eval_accuracy": 0.8224040457050166,
|
211 |
+
"eval_f1": 0.654025974025974,
|
212 |
+
"eval_loss": 1.003711462020874,
|
213 |
+
"eval_precision": 0.6114618746964546,
|
214 |
+
"eval_recall": 0.7029592406476829,
|
215 |
+
"eval_runtime": 7.0443,
|
216 |
+
"eval_samples_per_second": 157.859,
|
217 |
+
"eval_steps_per_second": 9.937,
|
218 |
+
"step": 5844
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 12.32,
|
222 |
+
"learning_rate": 2.6919917864476387e-05,
|
223 |
+
"loss": 0.0522,
|
224 |
+
"step": 6000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 13.0,
|
228 |
+
"eval_accuracy": 0.8160826316166122,
|
229 |
+
"eval_f1": 0.6486343145054362,
|
230 |
+
"eval_loss": 1.0798953771591187,
|
231 |
+
"eval_precision": 0.6176767676767677,
|
232 |
+
"eval_recall": 0.68285873813512,
|
233 |
+
"eval_runtime": 6.9483,
|
234 |
+
"eval_samples_per_second": 160.039,
|
235 |
+
"eval_steps_per_second": 10.074,
|
236 |
+
"step": 6331
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 13.35,
|
240 |
+
"learning_rate": 2.6663244353182754e-05,
|
241 |
+
"loss": 0.0461,
|
242 |
+
"step": 6500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 14.0,
|
246 |
+
"eval_accuracy": 0.8203048591398105,
|
247 |
+
"eval_f1": 0.651880674448768,
|
248 |
+
"eval_loss": 1.0693352222442627,
|
249 |
+
"eval_precision": 0.6087693798449613,
|
250 |
+
"eval_recall": 0.7015633724176438,
|
251 |
+
"eval_runtime": 7.0475,
|
252 |
+
"eval_samples_per_second": 157.787,
|
253 |
+
"eval_steps_per_second": 9.933,
|
254 |
+
"step": 6818
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 14.37,
|
258 |
+
"learning_rate": 2.640657084188912e-05,
|
259 |
+
"loss": 0.0402,
|
260 |
+
"step": 7000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 15.0,
|
264 |
+
"eval_accuracy": 0.8230242599174638,
|
265 |
+
"eval_f1": 0.6548117154811716,
|
266 |
+
"eval_loss": 1.055952548980713,
|
267 |
+
"eval_precision": 0.6158386620757501,
|
268 |
+
"eval_recall": 0.6990508096035735,
|
269 |
+
"eval_runtime": 6.7343,
|
270 |
+
"eval_samples_per_second": 165.125,
|
271 |
+
"eval_steps_per_second": 10.395,
|
272 |
+
"step": 7305
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 15.4,
|
276 |
+
"learning_rate": 2.6149897330595482e-05,
|
277 |
+
"loss": 0.0369,
|
278 |
+
"step": 7500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 16.0,
|
282 |
+
"eval_accuracy": 0.819660790534577,
|
283 |
+
"eval_f1": 0.6594724220623501,
|
284 |
+
"eval_loss": 1.104617714881897,
|
285 |
+
"eval_precision": 0.6307339449541285,
|
286 |
+
"eval_recall": 0.6909547738693468,
|
287 |
+
"eval_runtime": 6.9981,
|
288 |
+
"eval_samples_per_second": 158.901,
|
289 |
+
"eval_steps_per_second": 10.003,
|
290 |
+
"step": 7792
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 16.43,
|
294 |
+
"learning_rate": 2.589322381930185e-05,
|
295 |
+
"loss": 0.0391,
|
296 |
+
"step": 8000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 17.0,
|
300 |
+
"eval_accuracy": 0.8232628038453281,
|
301 |
+
"eval_f1": 0.6534837425348374,
|
302 |
+
"eval_loss": 1.1480329036712646,
|
303 |
+
"eval_precision": 0.622818112825702,
|
304 |
+
"eval_recall": 0.6873255164712451,
|
305 |
+
"eval_runtime": 6.8282,
|
306 |
+
"eval_samples_per_second": 162.854,
|
307 |
+
"eval_steps_per_second": 10.252,
|
308 |
+
"step": 8279
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 17.45,
|
312 |
+
"learning_rate": 2.5636550308008215e-05,
|
313 |
+
"loss": 0.0537,
|
314 |
+
"step": 8500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 18.0,
|
318 |
+
"eval_accuracy": 0.8203764223181699,
|
319 |
+
"eval_f1": 0.6538308325587572,
|
320 |
+
"eval_loss": 1.2140594720840454,
|
321 |
+
"eval_precision": 0.6234489744239048,
|
322 |
+
"eval_recall": 0.6873255164712451,
|
323 |
+
"eval_runtime": 6.8978,
|
324 |
+
"eval_samples_per_second": 161.212,
|
325 |
+
"eval_steps_per_second": 10.148,
|
326 |
+
"step": 8766
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 18.48,
|
330 |
+
"learning_rate": 2.537987679671458e-05,
|
331 |
+
"loss": 0.0497,
|
332 |
+
"step": 9000
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 19.0,
|
336 |
+
"eval_accuracy": 0.818945158750984,
|
337 |
+
"eval_f1": 0.6579537953795379,
|
338 |
+
"eval_loss": 1.222991943359375,
|
339 |
+
"eval_precision": 0.6240921612822439,
|
340 |
+
"eval_recall": 0.6957007258514796,
|
341 |
+
"eval_runtime": 6.7892,
|
342 |
+
"eval_samples_per_second": 163.791,
|
343 |
+
"eval_steps_per_second": 10.311,
|
344 |
+
"step": 9253
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 19.51,
|
348 |
+
"learning_rate": 2.5123203285420943e-05,
|
349 |
+
"loss": 0.0512,
|
350 |
+
"step": 9500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 20.0,
|
354 |
+
"eval_accuracy": 0.8268171083705065,
|
355 |
+
"eval_f1": 0.6670205706702057,
|
356 |
+
"eval_loss": 1.207837462425232,
|
357 |
+
"eval_precision": 0.6357197065519858,
|
358 |
+
"eval_recall": 0.7015633724176438,
|
359 |
+
"eval_runtime": 6.7858,
|
360 |
+
"eval_samples_per_second": 163.871,
|
361 |
+
"eval_steps_per_second": 10.316,
|
362 |
+
"step": 9740
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 20.53,
|
366 |
+
"learning_rate": 2.486652977412731e-05,
|
367 |
+
"loss": 0.0508,
|
368 |
+
"step": 10000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 21.0,
|
372 |
+
"eval_accuracy": 0.8178240022900217,
|
373 |
+
"eval_f1": 0.6514255682564709,
|
374 |
+
"eval_loss": 1.1940995454788208,
|
375 |
+
"eval_precision": 0.615289153636138,
|
376 |
+
"eval_recall": 0.692071468453378,
|
377 |
+
"eval_runtime": 6.9352,
|
378 |
+
"eval_samples_per_second": 160.342,
|
379 |
+
"eval_steps_per_second": 10.093,
|
380 |
+
"step": 10227
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 21.56,
|
384 |
+
"learning_rate": 2.4609856262833676e-05,
|
385 |
+
"loss": 0.044,
|
386 |
+
"step": 10500
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 22.0,
|
390 |
+
"eval_accuracy": 0.8161064860093986,
|
391 |
+
"eval_f1": 0.6639004149377594,
|
392 |
+
"eval_loss": 1.311377763748169,
|
393 |
+
"eval_precision": 0.6376960658266907,
|
394 |
+
"eval_recall": 0.6923506420993858,
|
395 |
+
"eval_runtime": 6.93,
|
396 |
+
"eval_samples_per_second": 160.462,
|
397 |
+
"eval_steps_per_second": 10.101,
|
398 |
+
"step": 10714
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 22.59,
|
402 |
+
"learning_rate": 2.4353182751540042e-05,
|
403 |
+
"loss": 0.041,
|
404 |
+
"step": 11000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 23.0,
|
408 |
+
"eval_accuracy": 0.8165120106867679,
|
409 |
+
"eval_f1": 0.6519497686715136,
|
410 |
+
"eval_loss": 1.2640310525894165,
|
411 |
+
"eval_precision": 0.6191313080592519,
|
412 |
+
"eval_recall": 0.6884422110552764,
|
413 |
+
"eval_runtime": 6.7498,
|
414 |
+
"eval_samples_per_second": 164.745,
|
415 |
+
"eval_steps_per_second": 10.371,
|
416 |
+
"step": 11201
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 23.61,
|
420 |
+
"learning_rate": 2.4096509240246405e-05,
|
421 |
+
"loss": 0.0216,
|
422 |
+
"step": 11500
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 24.0,
|
426 |
+
"eval_accuracy": 0.824026144414494,
|
427 |
+
"eval_f1": 0.6626618608997463,
|
428 |
+
"eval_loss": 1.3126922845840454,
|
429 |
+
"eval_precision": 0.6349449987209005,
|
430 |
+
"eval_recall": 0.6929089893914014,
|
431 |
+
"eval_runtime": 6.9538,
|
432 |
+
"eval_samples_per_second": 159.913,
|
433 |
+
"eval_steps_per_second": 10.066,
|
434 |
+
"step": 11688
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 24.64,
|
438 |
+
"learning_rate": 2.383983572895277e-05,
|
439 |
+
"loss": 0.0187,
|
440 |
+
"step": 12000
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 25.0,
|
444 |
+
"eval_accuracy": 0.8228572791679588,
|
445 |
+
"eval_f1": 0.6716637665640476,
|
446 |
+
"eval_loss": 1.3328564167022705,
|
447 |
+
"eval_precision": 0.6451529956286963,
|
448 |
+
"eval_recall": 0.7004466778336125,
|
449 |
+
"eval_runtime": 6.8192,
|
450 |
+
"eval_samples_per_second": 163.069,
|
451 |
+
"eval_steps_per_second": 10.265,
|
452 |
+
"step": 12175
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 25.67,
|
456 |
+
"learning_rate": 2.3583162217659137e-05,
|
457 |
+
"loss": 0.0158,
|
458 |
+
"step": 12500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 26.0,
|
462 |
+
"eval_accuracy": 0.8177047303260896,
|
463 |
+
"eval_f1": 0.6601762925930797,
|
464 |
+
"eval_loss": 1.2958290576934814,
|
465 |
+
"eval_precision": 0.6242846479223687,
|
466 |
+
"eval_recall": 0.7004466778336125,
|
467 |
+
"eval_runtime": 6.9466,
|
468 |
+
"eval_samples_per_second": 160.077,
|
469 |
+
"eval_steps_per_second": 10.077,
|
470 |
+
"step": 12662
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 26.69,
|
474 |
+
"learning_rate": 2.3326488706365506e-05,
|
475 |
+
"loss": 0.0151,
|
476 |
+
"step": 13000
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 27.0,
|
480 |
+
"eval_accuracy": 0.818062546217886,
|
481 |
+
"eval_f1": 0.6571240971766251,
|
482 |
+
"eval_loss": 1.3275514841079712,
|
483 |
+
"eval_precision": 0.6203818497396479,
|
484 |
+
"eval_recall": 0.6984924623115578,
|
485 |
+
"eval_runtime": 6.7421,
|
486 |
+
"eval_samples_per_second": 164.934,
|
487 |
+
"eval_steps_per_second": 10.383,
|
488 |
+
"step": 13149
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 27.72,
|
492 |
+
"learning_rate": 2.306981519507187e-05,
|
493 |
+
"loss": 0.016,
|
494 |
+
"step": 13500
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 28.0,
|
498 |
+
"eval_accuracy": 0.8251473008754562,
|
499 |
+
"eval_f1": 0.6730201342281878,
|
500 |
+
"eval_loss": 1.2671375274658203,
|
501 |
+
"eval_precision": 0.6481385729058945,
|
502 |
+
"eval_recall": 0.6998883305415968,
|
503 |
+
"eval_runtime": 6.8365,
|
504 |
+
"eval_samples_per_second": 162.657,
|
505 |
+
"eval_steps_per_second": 10.239,
|
506 |
+
"step": 13636
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 28.75,
|
510 |
+
"learning_rate": 2.2813141683778235e-05,
|
511 |
+
"loss": 0.0157,
|
512 |
+
"step": 14000
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 29.0,
|
516 |
+
"eval_accuracy": 0.8204241311037428,
|
517 |
+
"eval_f1": 0.654650703854756,
|
518 |
+
"eval_loss": 1.3373730182647705,
|
519 |
+
"eval_precision": 0.6190594675292361,
|
520 |
+
"eval_recall": 0.6945840312674484,
|
521 |
+
"eval_runtime": 7.169,
|
522 |
+
"eval_samples_per_second": 155.113,
|
523 |
+
"eval_steps_per_second": 9.764,
|
524 |
+
"step": 14123
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 29.77,
|
528 |
+
"learning_rate": 2.25564681724846e-05,
|
529 |
+
"loss": 0.0146,
|
530 |
+
"step": 14500
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 30.0,
|
534 |
+
"eval_accuracy": 0.8191598482860619,
|
535 |
+
"eval_f1": 0.6739956568946797,
|
536 |
+
"eval_loss": 1.394074559211731,
|
537 |
+
"eval_precision": 0.655837295298468,
|
538 |
+
"eval_recall": 0.6931881630374093,
|
539 |
+
"eval_runtime": 6.8998,
|
540 |
+
"eval_samples_per_second": 161.164,
|
541 |
+
"eval_steps_per_second": 10.145,
|
542 |
+
"step": 14610
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 30.8,
|
546 |
+
"learning_rate": 2.2299794661190967e-05,
|
547 |
+
"loss": 0.0134,
|
548 |
+
"step": 15000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 31.0,
|
552 |
+
"eval_accuracy": 0.8163927387228358,
|
553 |
+
"eval_f1": 0.6588835212023617,
|
554 |
+
"eval_loss": 1.4215149879455566,
|
555 |
+
"eval_precision": 0.6343669250645995,
|
556 |
+
"eval_recall": 0.6853713009491904,
|
557 |
+
"eval_runtime": 6.8752,
|
558 |
+
"eval_samples_per_second": 161.741,
|
559 |
+
"eval_steps_per_second": 10.182,
|
560 |
+
"step": 15097
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 31.83,
|
564 |
+
"learning_rate": 2.204312114989733e-05,
|
565 |
+
"loss": 0.0146,
|
566 |
+
"step": 15500
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 32.0,
|
570 |
+
"eval_accuracy": 0.8197562081057227,
|
571 |
+
"eval_f1": 0.6717123935666982,
|
572 |
+
"eval_loss": 1.4602118730545044,
|
573 |
+
"eval_precision": 0.6510348441184176,
|
574 |
+
"eval_recall": 0.6937465103294249,
|
575 |
+
"eval_runtime": 6.8475,
|
576 |
+
"eval_samples_per_second": 162.396,
|
577 |
+
"eval_steps_per_second": 10.223,
|
578 |
+
"step": 15584
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 32.85,
|
582 |
+
"learning_rate": 2.1786447638603696e-05,
|
583 |
+
"loss": 0.0105,
|
584 |
+
"step": 16000
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 33.0,
|
588 |
+
"eval_accuracy": 0.823978435628921,
|
589 |
+
"eval_f1": 0.6736138944555778,
|
590 |
+
"eval_loss": 1.4084781408309937,
|
591 |
+
"eval_precision": 0.6459133999487574,
|
592 |
+
"eval_recall": 0.7037967615857063,
|
593 |
+
"eval_runtime": 6.812,
|
594 |
+
"eval_samples_per_second": 163.241,
|
595 |
+
"eval_steps_per_second": 10.276,
|
596 |
+
"step": 16071
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 33.88,
|
600 |
+
"learning_rate": 2.1529774127310062e-05,
|
601 |
+
"loss": 0.0135,
|
602 |
+
"step": 16500
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 34.0,
|
606 |
+
"eval_accuracy": 0.8166312826507002,
|
607 |
+
"eval_f1": 0.6652519893899204,
|
608 |
+
"eval_loss": 1.3592619895935059,
|
609 |
+
"eval_precision": 0.6336533602829711,
|
610 |
+
"eval_recall": 0.7001675041876047,
|
611 |
+
"eval_runtime": 6.8441,
|
612 |
+
"eval_samples_per_second": 162.475,
|
613 |
+
"eval_steps_per_second": 10.228,
|
614 |
+
"step": 16558
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 34.91,
|
618 |
+
"learning_rate": 2.127310061601643e-05,
|
619 |
+
"loss": 0.0155,
|
620 |
+
"step": 17000
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 35.0,
|
624 |
+
"eval_accuracy": 0.8221893561699387,
|
625 |
+
"eval_f1": 0.6724347708530485,
|
626 |
+
"eval_loss": 1.3412460088729858,
|
627 |
+
"eval_precision": 0.6519003931847969,
|
628 |
+
"eval_recall": 0.6943048576214406,
|
629 |
+
"eval_runtime": 6.8473,
|
630 |
+
"eval_samples_per_second": 162.4,
|
631 |
+
"eval_steps_per_second": 10.223,
|
632 |
+
"step": 17045
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 35.93,
|
636 |
+
"learning_rate": 2.1016427104722795e-05,
|
637 |
+
"loss": 0.0141,
|
638 |
+
"step": 17500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 36.0,
|
642 |
+
"eval_accuracy": 0.8219031034565015,
|
643 |
+
"eval_f1": 0.6687940433452998,
|
644 |
+
"eval_loss": 1.3676053285598755,
|
645 |
+
"eval_precision": 0.6384869256156385,
|
646 |
+
"eval_recall": 0.7021217197096594,
|
647 |
+
"eval_runtime": 6.9597,
|
648 |
+
"eval_samples_per_second": 159.777,
|
649 |
+
"eval_steps_per_second": 10.058,
|
650 |
+
"step": 17532
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 36.96,
|
654 |
+
"learning_rate": 2.0759753593429157e-05,
|
655 |
+
"loss": 0.0145,
|
656 |
+
"step": 18000
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 37.0,
|
660 |
+
"eval_accuracy": 0.825075737697097,
|
661 |
+
"eval_f1": 0.6776680643852293,
|
662 |
+
"eval_loss": 1.3878055810928345,
|
663 |
+
"eval_precision": 0.6573077932301233,
|
664 |
+
"eval_recall": 0.6993299832495813,
|
665 |
+
"eval_runtime": 6.8928,
|
666 |
+
"eval_samples_per_second": 161.328,
|
667 |
+
"eval_steps_per_second": 10.156,
|
668 |
+
"step": 18019
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 37.99,
|
672 |
+
"learning_rate": 2.0503080082135523e-05,
|
673 |
+
"loss": 0.0106,
|
674 |
+
"step": 18500
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 38.0,
|
678 |
+
"eval_accuracy": 0.8239307268433482,
|
679 |
+
"eval_f1": 0.6637612255678816,
|
680 |
+
"eval_loss": 1.4313843250274658,
|
681 |
+
"eval_precision": 0.6298245614035087,
|
682 |
+
"eval_recall": 0.7015633724176438,
|
683 |
+
"eval_runtime": 6.9946,
|
684 |
+
"eval_samples_per_second": 158.98,
|
685 |
+
"eval_steps_per_second": 10.008,
|
686 |
+
"step": 18506
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 39.0,
|
690 |
+
"eval_accuracy": 0.8281529543665466,
|
691 |
+
"eval_f1": 0.6862638851259821,
|
692 |
+
"eval_loss": 1.3729307651519775,
|
693 |
+
"eval_precision": 0.666578947368421,
|
694 |
+
"eval_recall": 0.7071468453378001,
|
695 |
+
"eval_runtime": 6.8415,
|
696 |
+
"eval_samples_per_second": 162.538,
|
697 |
+
"eval_steps_per_second": 10.232,
|
698 |
+
"step": 18993
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 39.01,
|
702 |
+
"learning_rate": 2.024640657084189e-05,
|
703 |
+
"loss": 0.0112,
|
704 |
+
"step": 19000
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 40.0,
|
708 |
+
"eval_accuracy": 0.8282960807232652,
|
709 |
+
"eval_f1": 0.6758787228333781,
|
710 |
+
"eval_loss": 1.3454548120498657,
|
711 |
+
"eval_precision": 0.6505681818181818,
|
712 |
+
"eval_recall": 0.7032384142936907,
|
713 |
+
"eval_runtime": 6.9483,
|
714 |
+
"eval_samples_per_second": 160.038,
|
715 |
+
"eval_steps_per_second": 10.074,
|
716 |
+
"step": 19480
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 40.04,
|
720 |
+
"learning_rate": 1.9989733059548256e-05,
|
721 |
+
"loss": 0.0109,
|
722 |
+
"step": 19500
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 41.0,
|
726 |
+
"eval_accuracy": 0.8278189928675366,
|
727 |
+
"eval_f1": 0.6729643427354975,
|
728 |
+
"eval_loss": 1.3883967399597168,
|
729 |
+
"eval_precision": 0.6428571428571429,
|
730 |
+
"eval_recall": 0.7060301507537688,
|
731 |
+
"eval_runtime": 6.8639,
|
732 |
+
"eval_samples_per_second": 162.007,
|
733 |
+
"eval_steps_per_second": 10.198,
|
734 |
+
"step": 19967
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 41.07,
|
738 |
+
"learning_rate": 1.973305954825462e-05,
|
739 |
+
"loss": 0.0084,
|
740 |
+
"step": 20000
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 42.0,
|
744 |
+
"eval_accuracy": 0.8254812623744663,
|
745 |
+
"eval_f1": 0.6738408396439485,
|
746 |
+
"eval_loss": 1.4240161180496216,
|
747 |
+
"eval_precision": 0.6428390367553866,
|
748 |
+
"eval_recall": 0.7079843662758235,
|
749 |
+
"eval_runtime": 6.8987,
|
750 |
+
"eval_samples_per_second": 161.191,
|
751 |
+
"eval_steps_per_second": 10.147,
|
752 |
+
"step": 20454
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 42.09,
|
756 |
+
"learning_rate": 1.9476386036960984e-05,
|
757 |
+
"loss": 0.0082,
|
758 |
+
"step": 20500
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 43.0,
|
762 |
+
"eval_accuracy": 0.8176331671477303,
|
763 |
+
"eval_f1": 0.6438536456962358,
|
764 |
+
"eval_loss": 1.4279741048812866,
|
765 |
+
"eval_precision": 0.6090637450199203,
|
766 |
+
"eval_recall": 0.68285873813512,
|
767 |
+
"eval_runtime": 6.884,
|
768 |
+
"eval_samples_per_second": 161.533,
|
769 |
+
"eval_steps_per_second": 10.168,
|
770 |
+
"step": 20941
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 43.12,
|
774 |
+
"learning_rate": 1.921971252566735e-05,
|
775 |
+
"loss": 0.0122,
|
776 |
+
"step": 21000
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 44.0,
|
780 |
+
"eval_accuracy": 0.8239068724505618,
|
781 |
+
"eval_f1": 0.6773326162947029,
|
782 |
+
"eval_loss": 1.4722952842712402,
|
783 |
+
"eval_precision": 0.6532676348547718,
|
784 |
+
"eval_recall": 0.7032384142936907,
|
785 |
+
"eval_runtime": 6.8269,
|
786 |
+
"eval_samples_per_second": 162.886,
|
787 |
+
"eval_steps_per_second": 10.254,
|
788 |
+
"step": 21428
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 44.15,
|
792 |
+
"learning_rate": 1.896303901437372e-05,
|
793 |
+
"loss": 0.0082,
|
794 |
+
"step": 21500
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 45.0,
|
798 |
+
"eval_accuracy": 0.8180386918250996,
|
799 |
+
"eval_f1": 0.6551905387647833,
|
800 |
+
"eval_loss": 1.5150511264801025,
|
801 |
+
"eval_precision": 0.6189175769612711,
|
802 |
+
"eval_recall": 0.6959798994974874,
|
803 |
+
"eval_runtime": 6.807,
|
804 |
+
"eval_samples_per_second": 163.361,
|
805 |
+
"eval_steps_per_second": 10.284,
|
806 |
+
"step": 21915
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 45.17,
|
810 |
+
"learning_rate": 1.8706365503080083e-05,
|
811 |
+
"loss": 0.0068,
|
812 |
+
"step": 22000
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 46.0,
|
816 |
+
"eval_accuracy": 0.8210681997089764,
|
817 |
+
"eval_f1": 0.6669309023649095,
|
818 |
+
"eval_loss": 1.4440630674362183,
|
819 |
+
"eval_precision": 0.6330574366691748,
|
820 |
+
"eval_recall": 0.7046342825237297,
|
821 |
+
"eval_runtime": 6.8346,
|
822 |
+
"eval_samples_per_second": 162.702,
|
823 |
+
"eval_steps_per_second": 10.242,
|
824 |
+
"step": 22402
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 46.2,
|
828 |
+
"learning_rate": 1.844969199178645e-05,
|
829 |
+
"loss": 0.0074,
|
830 |
+
"step": 22500
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 47.0,
|
834 |
+
"eval_accuracy": 0.8202571503542377,
|
835 |
+
"eval_f1": 0.6726807593914097,
|
836 |
+
"eval_loss": 1.4752631187438965,
|
837 |
+
"eval_precision": 0.6496749024707412,
|
838 |
+
"eval_recall": 0.6973757677275265,
|
839 |
+
"eval_runtime": 6.7986,
|
840 |
+
"eval_samples_per_second": 163.564,
|
841 |
+
"eval_steps_per_second": 10.296,
|
842 |
+
"step": 22889
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 47.23,
|
846 |
+
"learning_rate": 1.8193018480492815e-05,
|
847 |
+
"loss": 0.0076,
|
848 |
+
"step": 23000
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 48.0,
|
852 |
+
"eval_accuracy": 0.8214975787791322,
|
853 |
+
"eval_f1": 0.6728770082354529,
|
854 |
+
"eval_loss": 1.5147960186004639,
|
855 |
+
"eval_precision": 0.6515032679738562,
|
856 |
+
"eval_recall": 0.6957007258514796,
|
857 |
+
"eval_runtime": 6.8796,
|
858 |
+
"eval_samples_per_second": 161.637,
|
859 |
+
"eval_steps_per_second": 10.175,
|
860 |
+
"step": 23376
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 48.25,
|
864 |
+
"learning_rate": 1.793634496919918e-05,
|
865 |
+
"loss": 0.0098,
|
866 |
+
"step": 23500
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 49.0,
|
870 |
+
"eval_accuracy": 0.8233343670236875,
|
871 |
+
"eval_f1": 0.6630391506303915,
|
872 |
+
"eval_loss": 1.4481282234191895,
|
873 |
+
"eval_precision": 0.6319251201619024,
|
874 |
+
"eval_recall": 0.6973757677275265,
|
875 |
+
"eval_runtime": 6.9541,
|
876 |
+
"eval_samples_per_second": 159.906,
|
877 |
+
"eval_steps_per_second": 10.066,
|
878 |
+
"step": 23863
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 49.28,
|
882 |
+
"learning_rate": 1.7679671457905544e-05,
|
883 |
+
"loss": 0.0104,
|
884 |
+
"step": 24000
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 50.0,
|
888 |
+
"eval_accuracy": 0.823477493380406,
|
889 |
+
"eval_f1": 0.682099596231494,
|
890 |
+
"eval_loss": 1.4813882112503052,
|
891 |
+
"eval_precision": 0.6585239085239085,
|
892 |
+
"eval_recall": 0.707426018983808,
|
893 |
+
"eval_runtime": 7.0699,
|
894 |
+
"eval_samples_per_second": 157.287,
|
895 |
+
"eval_steps_per_second": 9.901,
|
896 |
+
"step": 24350
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 50.31,
|
900 |
+
"learning_rate": 1.742299794661191e-05,
|
901 |
+
"loss": 0.0119,
|
902 |
+
"step": 24500
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 51.0,
|
906 |
+
"eval_accuracy": 0.8263638749075642,
|
907 |
+
"eval_f1": 0.6831550802139038,
|
908 |
+
"eval_loss": 1.4050037860870361,
|
909 |
+
"eval_precision": 0.6554643406875321,
|
910 |
+
"eval_recall": 0.7132886655499721,
|
911 |
+
"eval_runtime": 6.9082,
|
912 |
+
"eval_samples_per_second": 160.968,
|
913 |
+
"eval_steps_per_second": 10.133,
|
914 |
+
"step": 24837
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 51.33,
|
918 |
+
"learning_rate": 1.7166324435318276e-05,
|
919 |
+
"loss": 0.0078,
|
920 |
+
"step": 25000
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 52.0,
|
924 |
+
"eval_accuracy": 0.8233582214164739,
|
925 |
+
"eval_f1": 0.6825246654953372,
|
926 |
+
"eval_loss": 1.4853544235229492,
|
927 |
+
"eval_precision": 0.6615142782289757,
|
928 |
+
"eval_recall": 0.7049134561697376,
|
929 |
+
"eval_runtime": 6.9587,
|
930 |
+
"eval_samples_per_second": 159.8,
|
931 |
+
"eval_steps_per_second": 10.059,
|
932 |
+
"step": 25324
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 52.36,
|
936 |
+
"learning_rate": 1.6909650924024642e-05,
|
937 |
+
"loss": 0.007,
|
938 |
+
"step": 25500
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 53.0,
|
942 |
+
"eval_accuracy": 0.8203764223181699,
|
943 |
+
"eval_f1": 0.6733681812089531,
|
944 |
+
"eval_loss": 1.4941233396530151,
|
945 |
+
"eval_precision": 0.6475895849445733,
|
946 |
+
"eval_recall": 0.701284198771636,
|
947 |
+
"eval_runtime": 6.8301,
|
948 |
+
"eval_samples_per_second": 162.81,
|
949 |
+
"eval_steps_per_second": 10.249,
|
950 |
+
"step": 25811
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 53.39,
|
954 |
+
"learning_rate": 1.6652977412731005e-05,
|
955 |
+
"loss": 0.0079,
|
956 |
+
"step": 26000
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 54.0,
|
960 |
+
"eval_accuracy": 0.8228095703823859,
|
961 |
+
"eval_f1": 0.6796948199705528,
|
962 |
+
"eval_loss": 1.4137930870056152,
|
963 |
+
"eval_precision": 0.652867060941116,
|
964 |
+
"eval_recall": 0.708821887213847,
|
965 |
+
"eval_runtime": 7.1554,
|
966 |
+
"eval_samples_per_second": 155.406,
|
967 |
+
"eval_steps_per_second": 9.783,
|
968 |
+
"step": 26298
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 54.41,
|
972 |
+
"learning_rate": 1.639630390143737e-05,
|
973 |
+
"loss": 0.0092,
|
974 |
+
"step": 26500
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 55.0,
|
978 |
+
"eval_accuracy": 0.8217599770997829,
|
979 |
+
"eval_f1": 0.6887671232876712,
|
980 |
+
"eval_loss": 1.4301496744155884,
|
981 |
+
"eval_precision": 0.6761699838622915,
|
982 |
+
"eval_recall": 0.7018425460636516,
|
983 |
+
"eval_runtime": 7.1182,
|
984 |
+
"eval_samples_per_second": 156.219,
|
985 |
+
"eval_steps_per_second": 9.834,
|
986 |
+
"step": 26785
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 55.44,
|
990 |
+
"learning_rate": 1.6139630390143737e-05,
|
991 |
+
"loss": 0.0097,
|
992 |
+
"step": 27000
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 56.0,
|
996 |
+
"eval_accuracy": 0.8181579637890317,
|
997 |
+
"eval_f1": 0.6752263819435058,
|
998 |
+
"eval_loss": 1.5275614261627197,
|
999 |
+
"eval_precision": 0.654440660204349,
|
1000 |
+
"eval_recall": 0.6973757677275265,
|
1001 |
+
"eval_runtime": 7.0427,
|
1002 |
+
"eval_samples_per_second": 157.894,
|
1003 |
+
"eval_steps_per_second": 9.939,
|
1004 |
+
"step": 27272
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 56.47,
|
1008 |
+
"learning_rate": 1.5882956878850103e-05,
|
1009 |
+
"loss": 0.0076,
|
1010 |
+
"step": 27500
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 57.0,
|
1014 |
+
"eval_accuracy": 0.8257913694806899,
|
1015 |
+
"eval_f1": 0.6765140324963074,
|
1016 |
+
"eval_loss": 1.430177927017212,
|
1017 |
+
"eval_precision": 0.6517464424320828,
|
1018 |
+
"eval_recall": 0.7032384142936907,
|
1019 |
+
"eval_runtime": 6.9201,
|
1020 |
+
"eval_samples_per_second": 160.691,
|
1021 |
+
"eval_steps_per_second": 10.115,
|
1022 |
+
"step": 27759
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 57.49,
|
1026 |
+
"learning_rate": 1.5626283367556466e-05,
|
1027 |
+
"loss": 0.0056,
|
1028 |
+
"step": 28000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 58.0,
|
1032 |
+
"eval_accuracy": 0.8264831468714964,
|
1033 |
+
"eval_f1": 0.6855901127257911,
|
1034 |
+
"eval_loss": 1.4996072053909302,
|
1035 |
+
"eval_precision": 0.6675482676540597,
|
1036 |
+
"eval_recall": 0.7046342825237297,
|
1037 |
+
"eval_runtime": 6.8256,
|
1038 |
+
"eval_samples_per_second": 162.916,
|
1039 |
+
"eval_steps_per_second": 10.256,
|
1040 |
+
"step": 28246
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 58.52,
|
1044 |
+
"learning_rate": 1.5369609856262832e-05,
|
1045 |
+
"loss": 0.0047,
|
1046 |
+
"step": 28500
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 59.0,
|
1050 |
+
"eval_accuracy": 0.8240977075928533,
|
1051 |
+
"eval_f1": 0.6822860238353197,
|
1052 |
+
"eval_loss": 1.4308714866638184,
|
1053 |
+
"eval_precision": 0.6625460284061021,
|
1054 |
+
"eval_recall": 0.7032384142936907,
|
1055 |
+
"eval_runtime": 6.8106,
|
1056 |
+
"eval_samples_per_second": 163.274,
|
1057 |
+
"eval_steps_per_second": 10.278,
|
1058 |
+
"step": 28733
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 59.55,
|
1062 |
+
"learning_rate": 1.5112936344969198e-05,
|
1063 |
+
"loss": 0.0126,
|
1064 |
+
"step": 29000
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 60.0,
|
1068 |
+
"eval_accuracy": 0.817179933684788,
|
1069 |
+
"eval_f1": 0.671845700508974,
|
1070 |
+
"eval_loss": 1.490278720855713,
|
1071 |
+
"eval_precision": 0.6457260556127703,
|
1072 |
+
"eval_recall": 0.7001675041876047,
|
1073 |
+
"eval_runtime": 6.8728,
|
1074 |
+
"eval_samples_per_second": 161.798,
|
1075 |
+
"eval_steps_per_second": 10.185,
|
1076 |
+
"step": 29220
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 60.57,
|
1080 |
+
"learning_rate": 1.4856262833675564e-05,
|
1081 |
+
"loss": 0.0054,
|
1082 |
+
"step": 29500
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 61.0,
|
1086 |
+
"eval_accuracy": 0.8218315402781422,
|
1087 |
+
"eval_f1": 0.6701236537694455,
|
1088 |
+
"eval_loss": 1.4318019151687622,
|
1089 |
+
"eval_precision": 0.6397562833206397,
|
1090 |
+
"eval_recall": 0.7035175879396985,
|
1091 |
+
"eval_runtime": 6.8056,
|
1092 |
+
"eval_samples_per_second": 163.394,
|
1093 |
+
"eval_steps_per_second": 10.286,
|
1094 |
+
"step": 29707
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 61.6,
|
1098 |
+
"learning_rate": 1.459958932238193e-05,
|
1099 |
+
"loss": 0.0076,
|
1100 |
+
"step": 30000
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 62.0,
|
1104 |
+
"eval_accuracy": 0.8196369361417906,
|
1105 |
+
"eval_f1": 0.6820163487738419,
|
1106 |
+
"eval_loss": 1.574474811553955,
|
1107 |
+
"eval_precision": 0.6660457690260777,
|
1108 |
+
"eval_recall": 0.6987716359575656,
|
1109 |
+
"eval_runtime": 6.995,
|
1110 |
+
"eval_samples_per_second": 158.97,
|
1111 |
+
"eval_steps_per_second": 10.007,
|
1112 |
+
"step": 30194
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 62.63,
|
1116 |
+
"learning_rate": 1.4342915811088295e-05,
|
1117 |
+
"loss": 0.0043,
|
1118 |
+
"step": 30500
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 63.0,
|
1122 |
+
"eval_accuracy": 0.82679325397772,
|
1123 |
+
"eval_f1": 0.6825053995680346,
|
1124 |
+
"eval_loss": 1.5101566314697266,
|
1125 |
+
"eval_precision": 0.6607422895974908,
|
1126 |
+
"eval_recall": 0.705750977107761,
|
1127 |
+
"eval_runtime": 6.9716,
|
1128 |
+
"eval_samples_per_second": 159.503,
|
1129 |
+
"eval_steps_per_second": 10.041,
|
1130 |
+
"step": 30681
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 63.66,
|
1134 |
+
"learning_rate": 1.4086242299794661e-05,
|
1135 |
+
"loss": 0.0046,
|
1136 |
+
"step": 31000
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 64.0,
|
1140 |
+
"eval_accuracy": 0.8252427184466019,
|
1141 |
+
"eval_f1": 0.6798688882818902,
|
1142 |
+
"eval_loss": 1.5499790906906128,
|
1143 |
+
"eval_precision": 0.6655080213903743,
|
1144 |
+
"eval_recall": 0.6948632049134562,
|
1145 |
+
"eval_runtime": 6.9216,
|
1146 |
+
"eval_samples_per_second": 160.656,
|
1147 |
+
"eval_steps_per_second": 10.113,
|
1148 |
+
"step": 31168
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 64.68,
|
1152 |
+
"learning_rate": 1.3829568788501027e-05,
|
1153 |
+
"loss": 0.0042,
|
1154 |
+
"step": 31500
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 65.0,
|
1158 |
+
"eval_accuracy": 0.8273896137973807,
|
1159 |
+
"eval_f1": 0.6834157423493251,
|
1160 |
+
"eval_loss": 1.5357410907745361,
|
1161 |
+
"eval_precision": 0.6554729556523968,
|
1162 |
+
"eval_recall": 0.7138470128419877,
|
1163 |
+
"eval_runtime": 6.9877,
|
1164 |
+
"eval_samples_per_second": 159.137,
|
1165 |
+
"eval_steps_per_second": 10.018,
|
1166 |
+
"step": 31655
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 65.71,
|
1170 |
+
"learning_rate": 1.3572895277207393e-05,
|
1171 |
+
"loss": 0.0039,
|
1172 |
+
"step": 32000
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 66.0,
|
1176 |
+
"eval_accuracy": 0.8219985210276473,
|
1177 |
+
"eval_f1": 0.6870022945066812,
|
1178 |
+
"eval_loss": 1.5469226837158203,
|
1179 |
+
"eval_precision": 0.665011758557617,
|
1180 |
+
"eval_recall": 0.7104969290898939,
|
1181 |
+
"eval_runtime": 6.9394,
|
1182 |
+
"eval_samples_per_second": 160.243,
|
1183 |
+
"eval_steps_per_second": 10.087,
|
1184 |
+
"step": 32142
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 66.74,
|
1188 |
+
"learning_rate": 1.331622176591376e-05,
|
1189 |
+
"loss": 0.004,
|
1190 |
+
"step": 32500
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 67.0,
|
1194 |
+
"eval_accuracy": 0.8289162949357124,
|
1195 |
+
"eval_f1": 0.6831220813875917,
|
1196 |
+
"eval_loss": 1.481360673904419,
|
1197 |
+
"eval_precision": 0.6542294914387937,
|
1198 |
+
"eval_recall": 0.7146845337800112,
|
1199 |
+
"eval_runtime": 6.9709,
|
1200 |
+
"eval_samples_per_second": 159.521,
|
1201 |
+
"eval_steps_per_second": 10.042,
|
1202 |
+
"step": 32629
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 67.76,
|
1206 |
+
"learning_rate": 1.3059548254620124e-05,
|
1207 |
+
"loss": 0.0031,
|
1208 |
+
"step": 33000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 68.0,
|
1212 |
+
"eval_accuracy": 0.825028028911524,
|
1213 |
+
"eval_f1": 0.68095365657648,
|
1214 |
+
"eval_loss": 1.5209916830062866,
|
1215 |
+
"eval_precision": 0.6544799176107106,
|
1216 |
+
"eval_recall": 0.7096594081518705,
|
1217 |
+
"eval_runtime": 7.0091,
|
1218 |
+
"eval_samples_per_second": 158.65,
|
1219 |
+
"eval_steps_per_second": 9.987,
|
1220 |
+
"step": 33116
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 68.79,
|
1224 |
+
"learning_rate": 1.280287474332649e-05,
|
1225 |
+
"loss": 0.0047,
|
1226 |
+
"step": 33500
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 69.0,
|
1230 |
+
"eval_accuracy": 0.8271510698695165,
|
1231 |
+
"eval_f1": 0.6805257510729614,
|
1232 |
+
"eval_loss": 1.5326005220413208,
|
1233 |
+
"eval_precision": 0.6548786783686112,
|
1234 |
+
"eval_recall": 0.7082635399218313,
|
1235 |
+
"eval_runtime": 6.9749,
|
1236 |
+
"eval_samples_per_second": 159.429,
|
1237 |
+
"eval_steps_per_second": 10.036,
|
1238 |
+
"step": 33603
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 69.82,
|
1242 |
+
"learning_rate": 1.2546201232032854e-05,
|
1243 |
+
"loss": 0.0029,
|
1244 |
+
"step": 34000
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 70.0,
|
1248 |
+
"eval_accuracy": 0.8225710264545216,
|
1249 |
+
"eval_f1": 0.6829466829466829,
|
1250 |
+
"eval_loss": 1.6056736707687378,
|
1251 |
+
"eval_precision": 0.6642913697545526,
|
1252 |
+
"eval_recall": 0.7026800670016751,
|
1253 |
+
"eval_runtime": 7.4038,
|
1254 |
+
"eval_samples_per_second": 150.193,
|
1255 |
+
"eval_steps_per_second": 9.455,
|
1256 |
+
"step": 34090
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 70.84,
|
1260 |
+
"learning_rate": 1.228952772073922e-05,
|
1261 |
+
"loss": 0.0027,
|
1262 |
+
"step": 34500
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 71.0,
|
1266 |
+
"eval_accuracy": 0.8255289711600391,
|
1267 |
+
"eval_f1": 0.6856989679667604,
|
1268 |
+
"eval_loss": 1.5919586420059204,
|
1269 |
+
"eval_precision": 0.6594483114204692,
|
1270 |
+
"eval_recall": 0.7141261864879955,
|
1271 |
+
"eval_runtime": 6.9324,
|
1272 |
+
"eval_samples_per_second": 160.406,
|
1273 |
+
"eval_steps_per_second": 10.098,
|
1274 |
+
"step": 34577
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 71.87,
|
1278 |
+
"learning_rate": 1.2032854209445585e-05,
|
1279 |
+
"loss": 0.0016,
|
1280 |
+
"step": 35000
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 72.0,
|
1284 |
+
"eval_accuracy": 0.8255051167672527,
|
1285 |
+
"eval_f1": 0.6841604350781781,
|
1286 |
+
"eval_loss": 1.6220448017120361,
|
1287 |
+
"eval_precision": 0.6668433607209118,
|
1288 |
+
"eval_recall": 0.7024008933556672,
|
1289 |
+
"eval_runtime": 6.9179,
|
1290 |
+
"eval_samples_per_second": 160.743,
|
1291 |
+
"eval_steps_per_second": 10.119,
|
1292 |
+
"step": 35064
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 72.9,
|
1296 |
+
"learning_rate": 1.1776180698151951e-05,
|
1297 |
+
"loss": 0.0025,
|
1298 |
+
"step": 35500
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 73.0,
|
1302 |
+
"eval_accuracy": 0.8238591636649889,
|
1303 |
+
"eval_f1": 0.6912936006591596,
|
1304 |
+
"eval_loss": 1.626072645187378,
|
1305 |
+
"eval_precision": 0.6802702702702703,
|
1306 |
+
"eval_recall": 0.7026800670016751,
|
1307 |
+
"eval_runtime": 7.3201,
|
1308 |
+
"eval_samples_per_second": 151.911,
|
1309 |
+
"eval_steps_per_second": 9.563,
|
1310 |
+
"step": 35551
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 73.92,
|
1314 |
+
"learning_rate": 1.1519507186858315e-05,
|
1315 |
+
"loss": 0.0037,
|
1316 |
+
"step": 36000
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 74.0,
|
1320 |
+
"eval_accuracy": 0.8206865294243935,
|
1321 |
+
"eval_f1": 0.6906455142231948,
|
1322 |
+
"eval_loss": 1.6439733505249023,
|
1323 |
+
"eval_precision": 0.6769436997319035,
|
1324 |
+
"eval_recall": 0.7049134561697376,
|
1325 |
+
"eval_runtime": 6.8715,
|
1326 |
+
"eval_samples_per_second": 161.827,
|
1327 |
+
"eval_steps_per_second": 10.187,
|
1328 |
+
"step": 36038
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 74.95,
|
1332 |
+
"learning_rate": 1.1262833675564683e-05,
|
1333 |
+
"loss": 0.003,
|
1334 |
+
"step": 36500
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 75.0,
|
1338 |
+
"eval_accuracy": 0.8263400205147778,
|
1339 |
+
"eval_f1": 0.6881282260255366,
|
1340 |
+
"eval_loss": 1.6027307510375977,
|
1341 |
+
"eval_precision": 0.6701058201058201,
|
1342 |
+
"eval_recall": 0.7071468453378001,
|
1343 |
+
"eval_runtime": 7.2528,
|
1344 |
+
"eval_samples_per_second": 153.321,
|
1345 |
+
"eval_steps_per_second": 9.651,
|
1346 |
+
"step": 36525
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 75.98,
|
1350 |
+
"learning_rate": 1.1006160164271048e-05,
|
1351 |
+
"loss": 0.0031,
|
1352 |
+
"step": 37000
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 76.0,
|
1356 |
+
"eval_accuracy": 0.8261730397652728,
|
1357 |
+
"eval_f1": 0.6897667520560874,
|
1358 |
+
"eval_loss": 1.6012972593307495,
|
1359 |
+
"eval_precision": 0.6670143415906128,
|
1360 |
+
"eval_recall": 0.7141261864879955,
|
1361 |
+
"eval_runtime": 6.9267,
|
1362 |
+
"eval_samples_per_second": 160.539,
|
1363 |
+
"eval_steps_per_second": 10.106,
|
1364 |
+
"step": 37012
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 77.0,
|
1368 |
+
"eval_accuracy": 0.8184919252880418,
|
1369 |
+
"eval_f1": 0.6771591059383678,
|
1370 |
+
"eval_loss": 1.6714273691177368,
|
1371 |
+
"eval_precision": 0.6433777330987686,
|
1372 |
+
"eval_recall": 0.7146845337800112,
|
1373 |
+
"eval_runtime": 7.0081,
|
1374 |
+
"eval_samples_per_second": 158.674,
|
1375 |
+
"eval_steps_per_second": 9.988,
|
1376 |
+
"step": 37499
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 77.0,
|
1380 |
+
"learning_rate": 1.0749486652977414e-05,
|
1381 |
+
"loss": 0.002,
|
1382 |
+
"step": 37500
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 78.0,
|
1386 |
+
"eval_accuracy": 0.8266501276210014,
|
1387 |
+
"eval_f1": 0.6862638851259821,
|
1388 |
+
"eval_loss": 1.6293165683746338,
|
1389 |
+
"eval_precision": 0.666578947368421,
|
1390 |
+
"eval_recall": 0.7071468453378001,
|
1391 |
+
"eval_runtime": 6.9855,
|
1392 |
+
"eval_samples_per_second": 159.186,
|
1393 |
+
"eval_steps_per_second": 10.021,
|
1394 |
+
"step": 37986
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 78.03,
|
1398 |
+
"learning_rate": 1.0492813141683778e-05,
|
1399 |
+
"loss": 0.0024,
|
1400 |
+
"step": 38000
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 79.0,
|
1404 |
+
"eval_accuracy": 0.8221893561699387,
|
1405 |
+
"eval_f1": 0.6826057756883814,
|
1406 |
+
"eval_loss": 1.679621934890747,
|
1407 |
+
"eval_precision": 0.6577789282940719,
|
1408 |
+
"eval_recall": 0.7093802345058626,
|
1409 |
+
"eval_runtime": 7.0739,
|
1410 |
+
"eval_samples_per_second": 157.199,
|
1411 |
+
"eval_steps_per_second": 9.896,
|
1412 |
+
"step": 38473
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 79.06,
|
1416 |
+
"learning_rate": 1.0236139630390144e-05,
|
1417 |
+
"loss": 0.003,
|
1418 |
+
"step": 38500
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 80.0,
|
1422 |
+
"eval_accuracy": 0.828343789508838,
|
1423 |
+
"eval_f1": 0.6891781936533767,
|
1424 |
+
"eval_loss": 1.6462854146957397,
|
1425 |
+
"eval_precision": 0.6700949367088608,
|
1426 |
+
"eval_recall": 0.7093802345058626,
|
1427 |
+
"eval_runtime": 6.9376,
|
1428 |
+
"eval_samples_per_second": 160.285,
|
1429 |
+
"eval_steps_per_second": 10.09,
|
1430 |
+
"step": 38960
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 80.08,
|
1434 |
+
"learning_rate": 9.979466119096509e-06,
|
1435 |
+
"loss": 0.0015,
|
1436 |
+
"step": 39000
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 81.0,
|
1440 |
+
"eval_accuracy": 0.826626273228215,
|
1441 |
+
"eval_f1": 0.6915938864628821,
|
1442 |
+
"eval_loss": 1.6634407043457031,
|
1443 |
+
"eval_precision": 0.6764548852108916,
|
1444 |
+
"eval_recall": 0.707426018983808,
|
1445 |
+
"eval_runtime": 6.9101,
|
1446 |
+
"eval_samples_per_second": 160.923,
|
1447 |
+
"eval_steps_per_second": 10.13,
|
1448 |
+
"step": 39447
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 81.11,
|
1452 |
+
"learning_rate": 9.722792607802875e-06,
|
1453 |
+
"loss": 0.003,
|
1454 |
+
"step": 39500
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 82.0,
|
1458 |
+
"eval_accuracy": 0.8255051167672527,
|
1459 |
+
"eval_f1": 0.6838971583220568,
|
1460 |
+
"eval_loss": 1.6947256326675415,
|
1461 |
+
"eval_precision": 0.6636029411764706,
|
1462 |
+
"eval_recall": 0.7054718034617532,
|
1463 |
+
"eval_runtime": 6.9976,
|
1464 |
+
"eval_samples_per_second": 158.913,
|
1465 |
+
"eval_steps_per_second": 10.003,
|
1466 |
+
"step": 39934
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 82.14,
|
1470 |
+
"learning_rate": 9.46611909650924e-06,
|
1471 |
+
"loss": 0.0036,
|
1472 |
+
"step": 40000
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 83.0,
|
1476 |
+
"eval_accuracy": 0.8227141528112402,
|
1477 |
+
"eval_f1": 0.6791335934346832,
|
1478 |
+
"eval_loss": 1.651548981666565,
|
1479 |
+
"eval_precision": 0.6554141781355493,
|
1480 |
+
"eval_recall": 0.7046342825237297,
|
1481 |
+
"eval_runtime": 7.0674,
|
1482 |
+
"eval_samples_per_second": 157.343,
|
1483 |
+
"eval_steps_per_second": 9.905,
|
1484 |
+
"step": 40421
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 83.16,
|
1488 |
+
"learning_rate": 9.209445585215607e-06,
|
1489 |
+
"loss": 0.0018,
|
1490 |
+
"step": 40500
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 84.0,
|
1494 |
+
"eval_accuracy": 0.8266024188354285,
|
1495 |
+
"eval_f1": 0.6863617968433833,
|
1496 |
+
"eval_loss": 1.6855460405349731,
|
1497 |
+
"eval_precision": 0.6640563821456539,
|
1498 |
+
"eval_recall": 0.7102177554438861,
|
1499 |
+
"eval_runtime": 7.0529,
|
1500 |
+
"eval_samples_per_second": 157.667,
|
1501 |
+
"eval_steps_per_second": 9.925,
|
1502 |
+
"step": 40908
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 84.19,
|
1506 |
+
"learning_rate": 8.952772073921972e-06,
|
1507 |
+
"loss": 0.0012,
|
1508 |
+
"step": 41000
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 85.0,
|
1512 |
+
"eval_accuracy": 0.8240738532000668,
|
1513 |
+
"eval_f1": 0.6814775160599572,
|
1514 |
+
"eval_loss": 1.6966240406036377,
|
1515 |
+
"eval_precision": 0.6544987146529563,
|
1516 |
+
"eval_recall": 0.7107761027359017,
|
1517 |
+
"eval_runtime": 6.8863,
|
1518 |
+
"eval_samples_per_second": 161.48,
|
1519 |
+
"eval_steps_per_second": 10.165,
|
1520 |
+
"step": 41395
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 85.22,
|
1524 |
+
"learning_rate": 8.696098562628338e-06,
|
1525 |
+
"loss": 0.0019,
|
1526 |
+
"step": 41500
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 86.0,
|
1530 |
+
"eval_accuracy": 0.8255051167672527,
|
1531 |
+
"eval_f1": 0.6833355858899851,
|
1532 |
+
"eval_loss": 1.656359314918518,
|
1533 |
+
"eval_precision": 0.6623002357872675,
|
1534 |
+
"eval_recall": 0.705750977107761,
|
1535 |
+
"eval_runtime": 6.9513,
|
1536 |
+
"eval_samples_per_second": 159.971,
|
1537 |
+
"eval_steps_per_second": 10.07,
|
1538 |
+
"step": 41882
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 86.24,
|
1542 |
+
"learning_rate": 8.439425051334702e-06,
|
1543 |
+
"loss": 0.0015,
|
1544 |
+
"step": 42000
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 87.0,
|
1548 |
+
"eval_accuracy": 0.8239307268433482,
|
1549 |
+
"eval_f1": 0.6778030201790726,
|
1550 |
+
"eval_loss": 1.6362555027008057,
|
1551 |
+
"eval_precision": 0.6500897205844656,
|
1552 |
+
"eval_recall": 0.7079843662758235,
|
1553 |
+
"eval_runtime": 7.2734,
|
1554 |
+
"eval_samples_per_second": 152.885,
|
1555 |
+
"eval_steps_per_second": 9.624,
|
1556 |
+
"step": 42369
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 87.27,
|
1560 |
+
"learning_rate": 8.182751540041068e-06,
|
1561 |
+
"loss": 0.0022,
|
1562 |
+
"step": 42500
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 88.0,
|
1566 |
+
"eval_accuracy": 0.8260299134085541,
|
1567 |
+
"eval_f1": 0.6931833767658757,
|
1568 |
+
"eval_loss": 1.6878582239151,
|
1569 |
+
"eval_precision": 0.6813157185225128,
|
1570 |
+
"eval_recall": 0.7054718034617532,
|
1571 |
+
"eval_runtime": 7.1154,
|
1572 |
+
"eval_samples_per_second": 156.28,
|
1573 |
+
"eval_steps_per_second": 9.838,
|
1574 |
+
"step": 42856
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 88.3,
|
1578 |
+
"learning_rate": 7.926078028747433e-06,
|
1579 |
+
"loss": 0.0011,
|
1580 |
+
"step": 43000
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 89.0,
|
1584 |
+
"eval_accuracy": 0.829441091577014,
|
1585 |
+
"eval_f1": 0.6879049676025918,
|
1586 |
+
"eval_loss": 1.686987042427063,
|
1587 |
+
"eval_precision": 0.6659696811291166,
|
1588 |
+
"eval_recall": 0.7113344500279174,
|
1589 |
+
"eval_runtime": 6.9712,
|
1590 |
+
"eval_samples_per_second": 159.514,
|
1591 |
+
"eval_steps_per_second": 10.041,
|
1592 |
+
"step": 43343
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 89.32,
|
1596 |
+
"learning_rate": 7.669404517453799e-06,
|
1597 |
+
"loss": 0.0017,
|
1598 |
+
"step": 43500
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 90.0,
|
1602 |
+
"eval_accuracy": 0.8275804489396722,
|
1603 |
+
"eval_f1": 0.6870062653228004,
|
1604 |
+
"eval_loss": 1.7017887830734253,
|
1605 |
+
"eval_precision": 0.6707446808510639,
|
1606 |
+
"eval_recall": 0.7040759352317141,
|
1607 |
+
"eval_runtime": 6.9862,
|
1608 |
+
"eval_samples_per_second": 159.17,
|
1609 |
+
"eval_steps_per_second": 10.02,
|
1610 |
+
"step": 43830
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 90.35,
|
1614 |
+
"learning_rate": 7.412731006160165e-06,
|
1615 |
+
"loss": 0.0016,
|
1616 |
+
"step": 44000
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 91.0,
|
1620 |
+
"eval_accuracy": 0.8280813911881874,
|
1621 |
+
"eval_f1": 0.6910074374577416,
|
1622 |
+
"eval_loss": 1.6699299812316895,
|
1623 |
+
"eval_precision": 0.6700760555992656,
|
1624 |
+
"eval_recall": 0.7132886655499721,
|
1625 |
+
"eval_runtime": 6.9237,
|
1626 |
+
"eval_samples_per_second": 160.607,
|
1627 |
+
"eval_steps_per_second": 10.11,
|
1628 |
+
"step": 44317
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 91.38,
|
1632 |
+
"learning_rate": 7.15605749486653e-06,
|
1633 |
+
"loss": 0.0015,
|
1634 |
+
"step": 44500
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 92.0,
|
1638 |
+
"eval_accuracy": 0.8320412203907349,
|
1639 |
+
"eval_f1": 0.694421768707483,
|
1640 |
+
"eval_loss": 1.6736540794372559,
|
1641 |
+
"eval_precision": 0.6772823779193206,
|
1642 |
+
"eval_recall": 0.7124511446119486,
|
1643 |
+
"eval_runtime": 7.0271,
|
1644 |
+
"eval_samples_per_second": 158.244,
|
1645 |
+
"eval_steps_per_second": 9.961,
|
1646 |
+
"step": 44804
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 92.4,
|
1650 |
+
"learning_rate": 6.899383983572895e-06,
|
1651 |
+
"loss": 0.0017,
|
1652 |
+
"step": 45000
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 93.0,
|
1656 |
+
"eval_accuracy": 0.8280336824026144,
|
1657 |
+
"eval_f1": 0.6972650961278094,
|
1658 |
+
"eval_loss": 1.727142572402954,
|
1659 |
+
"eval_precision": 0.676919032597266,
|
1660 |
+
"eval_recall": 0.7188721384701284,
|
1661 |
+
"eval_runtime": 7.0065,
|
1662 |
+
"eval_samples_per_second": 158.709,
|
1663 |
+
"eval_steps_per_second": 9.991,
|
1664 |
+
"step": 45291
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 93.43,
|
1668 |
+
"learning_rate": 6.642710472279261e-06,
|
1669 |
+
"loss": 0.0005,
|
1670 |
+
"step": 45500
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 94.0,
|
1674 |
+
"eval_accuracy": 0.8260537678013407,
|
1675 |
+
"eval_f1": 0.6882329154872624,
|
1676 |
+
"eval_loss": 1.7245275974273682,
|
1677 |
+
"eval_precision": 0.6653635652853792,
|
1678 |
+
"eval_recall": 0.7127303182579564,
|
1679 |
+
"eval_runtime": 6.9585,
|
1680 |
+
"eval_samples_per_second": 159.804,
|
1681 |
+
"eval_steps_per_second": 10.06,
|
1682 |
+
"step": 45778
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 94.46,
|
1686 |
+
"learning_rate": 6.386036960985627e-06,
|
1687 |
+
"loss": 0.0013,
|
1688 |
+
"step": 46000
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 95.0,
|
1692 |
+
"eval_accuracy": 0.8235013477731924,
|
1693 |
+
"eval_f1": 0.6909190371991247,
|
1694 |
+
"eval_loss": 1.8143095970153809,
|
1695 |
+
"eval_precision": 0.6772117962466488,
|
1696 |
+
"eval_recall": 0.7051926298157454,
|
1697 |
+
"eval_runtime": 6.8559,
|
1698 |
+
"eval_samples_per_second": 162.196,
|
1699 |
+
"eval_steps_per_second": 10.21,
|
1700 |
+
"step": 46265
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 95.48,
|
1704 |
+
"learning_rate": 6.129363449691992e-06,
|
1705 |
+
"loss": 0.0012,
|
1706 |
+
"step": 46500
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 96.0,
|
1710 |
+
"eval_accuracy": 0.8262207485508456,
|
1711 |
+
"eval_f1": 0.6908744730042159,
|
1712 |
+
"eval_loss": 1.7299076318740845,
|
1713 |
+
"eval_precision": 0.673561389551843,
|
1714 |
+
"eval_recall": 0.7091010608598548,
|
1715 |
+
"eval_runtime": 7.0371,
|
1716 |
+
"eval_samples_per_second": 158.02,
|
1717 |
+
"eval_steps_per_second": 9.947,
|
1718 |
+
"step": 46752
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 96.51,
|
1722 |
+
"learning_rate": 5.872689938398357e-06,
|
1723 |
+
"loss": 0.002,
|
1724 |
+
"step": 47000
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 97.0,
|
1728 |
+
"eval_accuracy": 0.8272703418334486,
|
1729 |
+
"eval_f1": 0.6936667572709975,
|
1730 |
+
"eval_loss": 1.7251330614089966,
|
1731 |
+
"eval_precision": 0.6758474576271186,
|
1732 |
+
"eval_recall": 0.7124511446119486,
|
1733 |
+
"eval_runtime": 6.9526,
|
1734 |
+
"eval_samples_per_second": 159.94,
|
1735 |
+
"eval_steps_per_second": 10.068,
|
1736 |
+
"step": 47239
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 97.54,
|
1740 |
+
"learning_rate": 5.6160164271047226e-06,
|
1741 |
+
"loss": 0.0009,
|
1742 |
+
"step": 47500
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 98.0,
|
1746 |
+
"eval_accuracy": 0.8262207485508456,
|
1747 |
+
"eval_f1": 0.6860418610851887,
|
1748 |
+
"eval_loss": 1.718263864517212,
|
1749 |
+
"eval_precision": 0.6565450369992345,
|
1750 |
+
"eval_recall": 0.7183137911781128,
|
1751 |
+
"eval_runtime": 6.9474,
|
1752 |
+
"eval_samples_per_second": 160.059,
|
1753 |
+
"eval_steps_per_second": 10.076,
|
1754 |
+
"step": 47726
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 98.56,
|
1758 |
+
"learning_rate": 5.359342915811089e-06,
|
1759 |
+
"loss": 0.0009,
|
1760 |
+
"step": 48000
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 99.0,
|
1764 |
+
"eval_accuracy": 0.8278905560458959,
|
1765 |
+
"eval_f1": 0.6933224534203727,
|
1766 |
+
"eval_loss": 1.7801190614700317,
|
1767 |
+
"eval_precision": 0.6759480243967118,
|
1768 |
+
"eval_recall": 0.7116136236739252,
|
1769 |
+
"eval_runtime": 6.9784,
|
1770 |
+
"eval_samples_per_second": 159.35,
|
1771 |
+
"eval_steps_per_second": 10.031,
|
1772 |
+
"step": 48213
|
1773 |
+
},
|
1774 |
+
{
|
1775 |
+
"epoch": 99.59,
|
1776 |
+
"learning_rate": 5.102669404517454e-06,
|
1777 |
+
"loss": 0.0008,
|
1778 |
+
"step": 48500
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 100.0,
|
1782 |
+
"eval_accuracy": 0.8263400205147778,
|
1783 |
+
"eval_f1": 0.6959136258029246,
|
1784 |
+
"eval_loss": 1.7749357223510742,
|
1785 |
+
"eval_precision": 0.6816599732262383,
|
1786 |
+
"eval_recall": 0.7107761027359017,
|
1787 |
+
"eval_runtime": 6.9549,
|
1788 |
+
"eval_samples_per_second": 159.888,
|
1789 |
+
"eval_steps_per_second": 10.065,
|
1790 |
+
"step": 48700
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 100.62,
|
1794 |
+
"learning_rate": 4.845995893223819e-06,
|
1795 |
+
"loss": 0.0006,
|
1796 |
+
"step": 49000
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 101.0,
|
1800 |
+
"eval_accuracy": 0.8272226330478758,
|
1801 |
+
"eval_f1": 0.6917334057282477,
|
1802 |
+
"eval_loss": 1.7413458824157715,
|
1803 |
+
"eval_precision": 0.6731836195508587,
|
1804 |
+
"eval_recall": 0.7113344500279174,
|
1805 |
+
"eval_runtime": 6.9416,
|
1806 |
+
"eval_samples_per_second": 160.194,
|
1807 |
+
"eval_steps_per_second": 10.084,
|
1808 |
+
"step": 49187
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 101.64,
|
1812 |
+
"learning_rate": 4.5893223819301845e-06,
|
1813 |
+
"loss": 0.0005,
|
1814 |
+
"step": 49500
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 102.0,
|
1818 |
+
"eval_accuracy": 0.826960234727225,
|
1819 |
+
"eval_f1": 0.6887363746467502,
|
1820 |
+
"eval_loss": 1.7939246892929077,
|
1821 |
+
"eval_precision": 0.6648480124707716,
|
1822 |
+
"eval_recall": 0.7144053601340034,
|
1823 |
+
"eval_runtime": 7.0029,
|
1824 |
+
"eval_samples_per_second": 158.792,
|
1825 |
+
"eval_steps_per_second": 9.996,
|
1826 |
+
"step": 49674
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 102.67,
|
1830 |
+
"learning_rate": 4.332648870636551e-06,
|
1831 |
+
"loss": 0.0008,
|
1832 |
+
"step": 50000
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 103.0,
|
1836 |
+
"eval_accuracy": 0.8237160373082704,
|
1837 |
+
"eval_f1": 0.6846774193548387,
|
1838 |
+
"eval_loss": 1.7955106496810913,
|
1839 |
+
"eval_precision": 0.6601866251944012,
|
1840 |
+
"eval_recall": 0.7110552763819096,
|
1841 |
+
"eval_runtime": 6.8701,
|
1842 |
+
"eval_samples_per_second": 161.86,
|
1843 |
+
"eval_steps_per_second": 10.189,
|
1844 |
+
"step": 50161
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 103.7,
|
1848 |
+
"learning_rate": 4.075975359342916e-06,
|
1849 |
+
"loss": 0.0007,
|
1850 |
+
"step": 50500
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 104.0,
|
1854 |
+
"eval_accuracy": 0.826626273228215,
|
1855 |
+
"eval_f1": 0.6900837611456363,
|
1856 |
+
"eval_loss": 1.78438401222229,
|
1857 |
+
"eval_precision": 0.668586387434555,
|
1858 |
+
"eval_recall": 0.7130094919039642,
|
1859 |
+
"eval_runtime": 7.0026,
|
1860 |
+
"eval_samples_per_second": 158.798,
|
1861 |
+
"eval_steps_per_second": 9.996,
|
1862 |
+
"step": 50648
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 104.72,
|
1866 |
+
"learning_rate": 3.819301848049281e-06,
|
1867 |
+
"loss": 0.0005,
|
1868 |
+
"step": 51000
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 105.0,
|
1872 |
+
"eval_accuracy": 0.8279382648314687,
|
1873 |
+
"eval_f1": 0.6963993453355155,
|
1874 |
+
"eval_loss": 1.798330307006836,
|
1875 |
+
"eval_precision": 0.6808,
|
1876 |
+
"eval_recall": 0.7127303182579564,
|
1877 |
+
"eval_runtime": 6.8685,
|
1878 |
+
"eval_samples_per_second": 161.899,
|
1879 |
+
"eval_steps_per_second": 10.191,
|
1880 |
+
"step": 51135
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 105.75,
|
1884 |
+
"learning_rate": 3.5626283367556473e-06,
|
1885 |
+
"loss": 0.0004,
|
1886 |
+
"step": 51500
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 106.0,
|
1890 |
+
"eval_accuracy": 0.8256243887311848,
|
1891 |
+
"eval_f1": 0.696007630467366,
|
1892 |
+
"eval_loss": 1.7945122718811035,
|
1893 |
+
"eval_precision": 0.6797977109395794,
|
1894 |
+
"eval_recall": 0.7130094919039642,
|
1895 |
+
"eval_runtime": 6.9592,
|
1896 |
+
"eval_samples_per_second": 159.789,
|
1897 |
+
"eval_steps_per_second": 10.059,
|
1898 |
+
"step": 51622
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 106.78,
|
1902 |
+
"learning_rate": 3.3059548254620125e-06,
|
1903 |
+
"loss": 0.0005,
|
1904 |
+
"step": 52000
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 107.0,
|
1908 |
+
"eval_accuracy": 0.8296796355048782,
|
1909 |
+
"eval_f1": 0.7018599562363238,
|
1910 |
+
"eval_loss": 1.8209294080734253,
|
1911 |
+
"eval_precision": 0.6879356568364611,
|
1912 |
+
"eval_recall": 0.7163595756560581,
|
1913 |
+
"eval_runtime": 7.0252,
|
1914 |
+
"eval_samples_per_second": 158.287,
|
1915 |
+
"eval_steps_per_second": 9.964,
|
1916 |
+
"step": 52109
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 107.8,
|
1920 |
+
"learning_rate": 3.049281314168378e-06,
|
1921 |
+
"loss": 0.0004,
|
1922 |
+
"step": 52500
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 108.0,
|
1926 |
+
"eval_accuracy": 0.8281052455809738,
|
1927 |
+
"eval_f1": 0.6960098724804608,
|
1928 |
+
"eval_loss": 1.8149752616882324,
|
1929 |
+
"eval_precision": 0.6839126919967664,
|
1930 |
+
"eval_recall": 0.7085427135678392,
|
1931 |
+
"eval_runtime": 7.0444,
|
1932 |
+
"eval_samples_per_second": 157.855,
|
1933 |
+
"eval_steps_per_second": 9.937,
|
1934 |
+
"step": 52596
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 108.83,
|
1938 |
+
"learning_rate": 2.7926078028747435e-06,
|
1939 |
+
"loss": 0.0006,
|
1940 |
+
"step": 53000
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 109.0,
|
1944 |
+
"eval_accuracy": 0.8287016054006345,
|
1945 |
+
"eval_f1": 0.6967024019541321,
|
1946 |
+
"eval_loss": 1.7784167528152466,
|
1947 |
+
"eval_precision": 0.6778452601003433,
|
1948 |
+
"eval_recall": 0.7166387493020658,
|
1949 |
+
"eval_runtime": 6.8299,
|
1950 |
+
"eval_samples_per_second": 162.815,
|
1951 |
+
"eval_steps_per_second": 10.249,
|
1952 |
+
"step": 53083
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 109.86,
|
1956 |
+
"learning_rate": 2.5359342915811088e-06,
|
1957 |
+
"loss": 0.0009,
|
1958 |
+
"step": 53500
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 110.0,
|
1962 |
+
"eval_accuracy": 0.8292741108275089,
|
1963 |
+
"eval_f1": 0.6964527484430002,
|
1964 |
+
"eval_loss": 1.7941442728042603,
|
1965 |
+
"eval_precision": 0.676130389064143,
|
1966 |
+
"eval_recall": 0.718034617532105,
|
1967 |
+
"eval_runtime": 7.0109,
|
1968 |
+
"eval_samples_per_second": 158.61,
|
1969 |
+
"eval_steps_per_second": 9.984,
|
1970 |
+
"step": 53570
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 110.88,
|
1974 |
+
"learning_rate": 2.2792607802874745e-06,
|
1975 |
+
"loss": 0.0006,
|
1976 |
+
"step": 54000
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 111.0,
|
1980 |
+
"eval_accuracy": 0.828009828009828,
|
1981 |
+
"eval_f1": 0.6974040021633315,
|
1982 |
+
"eval_loss": 1.807924509048462,
|
1983 |
+
"eval_precision": 0.6761929732564237,
|
1984 |
+
"eval_recall": 0.7199888330541597,
|
1985 |
+
"eval_runtime": 6.9069,
|
1986 |
+
"eval_samples_per_second": 160.999,
|
1987 |
+
"eval_steps_per_second": 10.135,
|
1988 |
+
"step": 54057
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 111.91,
|
1992 |
+
"learning_rate": 2.0225872689938397e-06,
|
1993 |
+
"loss": 0.0006,
|
1994 |
+
"step": 54500
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 112.0,
|
1998 |
+
"eval_accuracy": 0.8276520121180315,
|
1999 |
+
"eval_f1": 0.6952871072589383,
|
2000 |
+
"eval_loss": 1.796797513961792,
|
2001 |
+
"eval_precision": 0.6751709626512362,
|
2002 |
+
"eval_recall": 0.7166387493020658,
|
2003 |
+
"eval_runtime": 6.9819,
|
2004 |
+
"eval_samples_per_second": 159.269,
|
2005 |
+
"eval_steps_per_second": 10.026,
|
2006 |
+
"step": 54544
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 112.94,
|
2010 |
+
"learning_rate": 1.7659137577002054e-06,
|
2011 |
+
"loss": 0.0003,
|
2012 |
+
"step": 55000
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 113.0,
|
2016 |
+
"eval_accuracy": 0.8284630614727702,
|
2017 |
+
"eval_f1": 0.6953812813219559,
|
2018 |
+
"eval_loss": 1.7971785068511963,
|
2019 |
+
"eval_precision": 0.6753485924756643,
|
2020 |
+
"eval_recall": 0.7166387493020658,
|
2021 |
+
"eval_runtime": 7.1267,
|
2022 |
+
"eval_samples_per_second": 156.032,
|
2023 |
+
"eval_steps_per_second": 9.822,
|
2024 |
+
"step": 55031
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 113.96,
|
2028 |
+
"learning_rate": 1.509240246406571e-06,
|
2029 |
+
"loss": 0.0003,
|
2030 |
+
"step": 55500
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 114.0,
|
2034 |
+
"eval_accuracy": 0.8297989074688104,
|
2035 |
+
"eval_f1": 0.6962059620596205,
|
2036 |
+
"eval_loss": 1.7985066175460815,
|
2037 |
+
"eval_precision": 0.6764086361242759,
|
2038 |
+
"eval_recall": 0.7171970965940815,
|
2039 |
+
"eval_runtime": 7.0596,
|
2040 |
+
"eval_samples_per_second": 157.517,
|
2041 |
+
"eval_steps_per_second": 9.916,
|
2042 |
+
"step": 55518
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 114.99,
|
2046 |
+
"learning_rate": 1.2525667351129362e-06,
|
2047 |
+
"loss": 0.0006,
|
2048 |
+
"step": 56000
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 115.0,
|
2052 |
+
"eval_accuracy": 0.8286777510078481,
|
2053 |
+
"eval_f1": 0.695923066504131,
|
2054 |
+
"eval_loss": 1.8047789335250854,
|
2055 |
+
"eval_precision": 0.6758747697974218,
|
2056 |
+
"eval_recall": 0.7171970965940815,
|
2057 |
+
"eval_runtime": 6.9955,
|
2058 |
+
"eval_samples_per_second": 158.959,
|
2059 |
+
"eval_steps_per_second": 10.006,
|
2060 |
+
"step": 56005
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 116.0,
|
2064 |
+
"eval_accuracy": 0.8298466162543833,
|
2065 |
+
"eval_f1": 0.6949681269496812,
|
2066 |
+
"eval_loss": 1.7985312938690186,
|
2067 |
+
"eval_precision": 0.6758111316275389,
|
2068 |
+
"eval_recall": 0.7152428810720268,
|
2069 |
+
"eval_runtime": 7.0552,
|
2070 |
+
"eval_samples_per_second": 157.615,
|
2071 |
+
"eval_steps_per_second": 9.922,
|
2072 |
+
"step": 56492
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 116.02,
|
2076 |
+
"learning_rate": 9.958932238193019e-07,
|
2077 |
+
"loss": 0.0004,
|
2078 |
+
"step": 56500
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 117.0,
|
2082 |
+
"eval_accuracy": 0.8314448605710741,
|
2083 |
+
"eval_f1": 0.6995637949836424,
|
2084 |
+
"eval_loss": 1.788254976272583,
|
2085 |
+
"eval_precision": 0.6835375599360682,
|
2086 |
+
"eval_recall": 0.7163595756560581,
|
2087 |
+
"eval_runtime": 7.0043,
|
2088 |
+
"eval_samples_per_second": 158.759,
|
2089 |
+
"eval_steps_per_second": 9.994,
|
2090 |
+
"step": 56979
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 117.04,
|
2094 |
+
"learning_rate": 7.392197125256674e-07,
|
2095 |
+
"loss": 0.0009,
|
2096 |
+
"step": 57000
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 118.0,
|
2100 |
+
"eval_accuracy": 0.8311347534648506,
|
2101 |
+
"eval_f1": 0.7000544365813827,
|
2102 |
+
"eval_loss": 1.785180687904358,
|
2103 |
+
"eval_precision": 0.6829527349973447,
|
2104 |
+
"eval_recall": 0.718034617532105,
|
2105 |
+
"eval_runtime": 6.9229,
|
2106 |
+
"eval_samples_per_second": 160.627,
|
2107 |
+
"eval_steps_per_second": 10.111,
|
2108 |
+
"step": 57466
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 118.07,
|
2112 |
+
"learning_rate": 4.82546201232033e-07,
|
2113 |
+
"loss": 0.0002,
|
2114 |
+
"step": 57500
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 119.0,
|
2118 |
+
"eval_accuracy": 0.8308962095369863,
|
2119 |
+
"eval_f1": 0.7012951601908658,
|
2120 |
+
"eval_loss": 1.7869131565093994,
|
2121 |
+
"eval_precision": 0.685318411937117,
|
2122 |
+
"eval_recall": 0.718034617532105,
|
2123 |
+
"eval_runtime": 7.1691,
|
2124 |
+
"eval_samples_per_second": 155.111,
|
2125 |
+
"eval_steps_per_second": 9.764,
|
2126 |
+
"step": 57953
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 119.1,
|
2130 |
+
"learning_rate": 2.2587268993839835e-07,
|
2131 |
+
"loss": 0.0003,
|
2132 |
+
"step": 58000
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 120.0,
|
2136 |
+
"eval_accuracy": 0.8312063166432099,
|
2137 |
+
"eval_f1": 0.7009129309170186,
|
2138 |
+
"eval_loss": 1.7865298986434937,
|
2139 |
+
"eval_precision": 0.6845887676337503,
|
2140 |
+
"eval_recall": 0.718034617532105,
|
2141 |
+
"eval_runtime": 7.0357,
|
2142 |
+
"eval_samples_per_second": 158.051,
|
2143 |
+
"eval_steps_per_second": 9.949,
|
2144 |
+
"step": 58440
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 120.0,
|
2148 |
+
"step": 58440,
|
2149 |
+
"total_flos": 4.338269813081088e+17,
|
2150 |
+
"train_loss": 0.033376370980433,
|
2151 |
+
"train_runtime": 20083.166,
|
2152 |
+
"train_samples_per_second": 46.517,
|
2153 |
+
"train_steps_per_second": 2.91
|
2154 |
+
}
|
2155 |
+
],
|
2156 |
+
"max_steps": 58440,
|
2157 |
+
"num_train_epochs": 120,
|
2158 |
+
"total_flos": 4.338269813081088e+17,
|
2159 |
+
"trial_name": null,
|
2160 |
+
"trial_params": null
|
2161 |
+
}
|