matthieulel
commited on
Commit
•
ac71066
1
Parent(s):
3ed9b70
End of training
Browse files- README.md +8 -6
- all_results.json +15 -0
- eval_results.json +11 -0
- train_results.json +7 -0
- trainer_state.json +2622 -0
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-large-patch32-224-in21k
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- accuracy
|
@@ -18,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
# vit-large-patch32-224-in21k-finetuned-galaxy10-decals
|
20 |
|
21 |
-
This model is a fine-tuned version of [google/vit-large-patch32-224-in21k](https://huggingface.co/google/vit-large-patch32-224-in21k) on
|
22 |
It achieves the following results on the evaluation set:
|
23 |
-
- Loss: 0.
|
24 |
-
- Accuracy: 0.
|
25 |
-
- Precision: 0.
|
26 |
-
- Recall: 0.
|
27 |
-
- F1: 0.
|
28 |
|
29 |
## Model description
|
30 |
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-large-patch32-224-in21k
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
+
- vision
|
7 |
- generated_from_trainer
|
8 |
metrics:
|
9 |
- accuracy
|
|
|
20 |
|
21 |
# vit-large-patch32-224-in21k-finetuned-galaxy10-decals
|
22 |
|
23 |
+
This model is a fine-tuned version of [google/vit-large-patch32-224-in21k](https://huggingface.co/google/vit-large-patch32-224-in21k) on the matthieulel/galaxy10_decals dataset.
|
24 |
It achieves the following results on the evaluation set:
|
25 |
+
- Loss: 0.5849
|
26 |
+
- Accuracy: 0.8236
|
27 |
+
- Precision: 0.8257
|
28 |
+
- Recall: 0.8236
|
29 |
+
- F1: 0.8212
|
30 |
|
31 |
## Model description
|
32 |
|
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 29.82,
|
3 |
+
"eval_accuracy": 0.8235625704622322,
|
4 |
+
"eval_f1": 0.8211884981742252,
|
5 |
+
"eval_loss": 0.5849118232727051,
|
6 |
+
"eval_precision": 0.8257093320559268,
|
7 |
+
"eval_recall": 0.8235625704622322,
|
8 |
+
"eval_runtime": 13.9158,
|
9 |
+
"eval_samples_per_second": 127.481,
|
10 |
+
"eval_steps_per_second": 4.024,
|
11 |
+
"train_loss": 0.4506285851360649,
|
12 |
+
"train_runtime": 7123.617,
|
13 |
+
"train_samples_per_second": 67.221,
|
14 |
+
"train_steps_per_second": 0.522
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 29.82,
|
3 |
+
"eval_accuracy": 0.8235625704622322,
|
4 |
+
"eval_f1": 0.8211884981742252,
|
5 |
+
"eval_loss": 0.5849118232727051,
|
6 |
+
"eval_precision": 0.8257093320559268,
|
7 |
+
"eval_recall": 0.8235625704622322,
|
8 |
+
"eval_runtime": 13.9158,
|
9 |
+
"eval_samples_per_second": 127.481,
|
10 |
+
"eval_steps_per_second": 4.024
|
11 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 29.82,
|
3 |
+
"train_loss": 0.4506285851360649,
|
4 |
+
"train_runtime": 7123.617,
|
5 |
+
"train_samples_per_second": 67.221,
|
6 |
+
"train_steps_per_second": 0.522
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2622 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8235625704622322,
|
3 |
+
"best_model_checkpoint": "vit-large-patch32-224-in21k-finetuned-galaxy10-decals/checkpoint-1746",
|
4 |
+
"epoch": 29.819639278557116,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3720,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.08,
|
13 |
+
"learning_rate": 2.688172043010753e-06,
|
14 |
+
"loss": 2.2922,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.16,
|
19 |
+
"learning_rate": 5.376344086021506e-06,
|
20 |
+
"loss": 2.2641,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.24,
|
25 |
+
"learning_rate": 8.064516129032258e-06,
|
26 |
+
"loss": 2.1892,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.32,
|
31 |
+
"learning_rate": 1.0752688172043012e-05,
|
32 |
+
"loss": 2.0773,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.4,
|
37 |
+
"learning_rate": 1.3440860215053763e-05,
|
38 |
+
"loss": 1.9892,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.48,
|
43 |
+
"learning_rate": 1.6129032258064517e-05,
|
44 |
+
"loss": 1.8382,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.56,
|
49 |
+
"learning_rate": 1.881720430107527e-05,
|
50 |
+
"loss": 1.7049,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.64,
|
55 |
+
"learning_rate": 2.1505376344086024e-05,
|
56 |
+
"loss": 1.5763,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.72,
|
61 |
+
"learning_rate": 2.4193548387096777e-05,
|
62 |
+
"loss": 1.4746,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.8,
|
67 |
+
"learning_rate": 2.6881720430107527e-05,
|
68 |
+
"loss": 1.3415,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.88,
|
73 |
+
"learning_rate": 2.9569892473118284e-05,
|
74 |
+
"loss": 1.2596,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.96,
|
79 |
+
"learning_rate": 3.2258064516129034e-05,
|
80 |
+
"loss": 1.1583,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.99,
|
85 |
+
"eval_accuracy": 0.7068771138669673,
|
86 |
+
"eval_f1": 0.675810673269607,
|
87 |
+
"eval_loss": 1.0550673007965088,
|
88 |
+
"eval_precision": 0.6558614630795221,
|
89 |
+
"eval_recall": 0.7068771138669673,
|
90 |
+
"eval_runtime": 13.9158,
|
91 |
+
"eval_samples_per_second": 127.481,
|
92 |
+
"eval_steps_per_second": 4.024,
|
93 |
+
"step": 124
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.04,
|
97 |
+
"learning_rate": 3.494623655913979e-05,
|
98 |
+
"loss": 1.1563,
|
99 |
+
"step": 130
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 1.12,
|
103 |
+
"learning_rate": 3.763440860215054e-05,
|
104 |
+
"loss": 1.0897,
|
105 |
+
"step": 140
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 1.2,
|
109 |
+
"learning_rate": 4.032258064516129e-05,
|
110 |
+
"loss": 1.0546,
|
111 |
+
"step": 150
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 1.28,
|
115 |
+
"learning_rate": 4.301075268817205e-05,
|
116 |
+
"loss": 1.0226,
|
117 |
+
"step": 160
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 1.36,
|
121 |
+
"learning_rate": 4.56989247311828e-05,
|
122 |
+
"loss": 0.9752,
|
123 |
+
"step": 170
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 1.44,
|
127 |
+
"learning_rate": 4.8387096774193554e-05,
|
128 |
+
"loss": 0.9802,
|
129 |
+
"step": 180
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 1.52,
|
133 |
+
"learning_rate": 5.1075268817204304e-05,
|
134 |
+
"loss": 0.9326,
|
135 |
+
"step": 190
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.6,
|
139 |
+
"learning_rate": 5.3763440860215054e-05,
|
140 |
+
"loss": 0.9747,
|
141 |
+
"step": 200
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 1.68,
|
145 |
+
"learning_rate": 5.645161290322582e-05,
|
146 |
+
"loss": 0.9057,
|
147 |
+
"step": 210
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 1.76,
|
151 |
+
"learning_rate": 5.913978494623657e-05,
|
152 |
+
"loss": 0.9051,
|
153 |
+
"step": 220
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 1.84,
|
157 |
+
"learning_rate": 6.182795698924732e-05,
|
158 |
+
"loss": 0.9089,
|
159 |
+
"step": 230
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 1.92,
|
163 |
+
"learning_rate": 6.451612903225807e-05,
|
164 |
+
"loss": 0.8599,
|
165 |
+
"step": 240
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 2.0,
|
169 |
+
"eval_accuracy": 0.762119503945885,
|
170 |
+
"eval_f1": 0.7556580755827043,
|
171 |
+
"eval_loss": 0.7913542985916138,
|
172 |
+
"eval_precision": 0.7717184841610082,
|
173 |
+
"eval_recall": 0.762119503945885,
|
174 |
+
"eval_runtime": 13.9163,
|
175 |
+
"eval_samples_per_second": 127.476,
|
176 |
+
"eval_steps_per_second": 4.024,
|
177 |
+
"step": 249
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 2.0,
|
181 |
+
"learning_rate": 6.720430107526882e-05,
|
182 |
+
"loss": 0.8928,
|
183 |
+
"step": 250
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 2.08,
|
187 |
+
"learning_rate": 6.989247311827958e-05,
|
188 |
+
"loss": 0.8706,
|
189 |
+
"step": 260
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 2.16,
|
193 |
+
"learning_rate": 7.258064516129033e-05,
|
194 |
+
"loss": 0.8337,
|
195 |
+
"step": 270
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 2.24,
|
199 |
+
"learning_rate": 7.526881720430108e-05,
|
200 |
+
"loss": 0.841,
|
201 |
+
"step": 280
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 2.32,
|
205 |
+
"learning_rate": 7.795698924731183e-05,
|
206 |
+
"loss": 0.8265,
|
207 |
+
"step": 290
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 2.4,
|
211 |
+
"learning_rate": 8.064516129032258e-05,
|
212 |
+
"loss": 0.8324,
|
213 |
+
"step": 300
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 2.48,
|
217 |
+
"learning_rate": 8.333333333333334e-05,
|
218 |
+
"loss": 0.843,
|
219 |
+
"step": 310
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 2.57,
|
223 |
+
"learning_rate": 8.60215053763441e-05,
|
224 |
+
"loss": 0.8416,
|
225 |
+
"step": 320
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 2.65,
|
229 |
+
"learning_rate": 8.870967741935484e-05,
|
230 |
+
"loss": 0.8022,
|
231 |
+
"step": 330
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 2.73,
|
235 |
+
"learning_rate": 9.13978494623656e-05,
|
236 |
+
"loss": 0.8954,
|
237 |
+
"step": 340
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 2.81,
|
241 |
+
"learning_rate": 9.408602150537636e-05,
|
242 |
+
"loss": 0.8137,
|
243 |
+
"step": 350
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 2.89,
|
247 |
+
"learning_rate": 9.677419354838711e-05,
|
248 |
+
"loss": 0.793,
|
249 |
+
"step": 360
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 2.97,
|
253 |
+
"learning_rate": 9.946236559139786e-05,
|
254 |
+
"loss": 0.854,
|
255 |
+
"step": 370
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 3.0,
|
259 |
+
"eval_accuracy": 0.7671927846674182,
|
260 |
+
"eval_f1": 0.7641877899984297,
|
261 |
+
"eval_loss": 0.711500346660614,
|
262 |
+
"eval_precision": 0.7849640754022337,
|
263 |
+
"eval_recall": 0.7671927846674182,
|
264 |
+
"eval_runtime": 13.9691,
|
265 |
+
"eval_samples_per_second": 126.994,
|
266 |
+
"eval_steps_per_second": 4.009,
|
267 |
+
"step": 374
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 3.05,
|
271 |
+
"learning_rate": 9.97610513739546e-05,
|
272 |
+
"loss": 0.8143,
|
273 |
+
"step": 380
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 3.13,
|
277 |
+
"learning_rate": 9.946236559139786e-05,
|
278 |
+
"loss": 0.7927,
|
279 |
+
"step": 390
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 3.21,
|
283 |
+
"learning_rate": 9.916367980884111e-05,
|
284 |
+
"loss": 0.7554,
|
285 |
+
"step": 400
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 3.29,
|
289 |
+
"learning_rate": 9.886499402628435e-05,
|
290 |
+
"loss": 0.7916,
|
291 |
+
"step": 410
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 3.37,
|
295 |
+
"learning_rate": 9.85663082437276e-05,
|
296 |
+
"loss": 0.743,
|
297 |
+
"step": 420
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3.45,
|
301 |
+
"learning_rate": 9.826762246117085e-05,
|
302 |
+
"loss": 0.7777,
|
303 |
+
"step": 430
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 3.53,
|
307 |
+
"learning_rate": 9.79689366786141e-05,
|
308 |
+
"loss": 0.7625,
|
309 |
+
"step": 440
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 3.61,
|
313 |
+
"learning_rate": 9.767025089605735e-05,
|
314 |
+
"loss": 0.7553,
|
315 |
+
"step": 450
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 3.69,
|
319 |
+
"learning_rate": 9.73715651135006e-05,
|
320 |
+
"loss": 0.7728,
|
321 |
+
"step": 460
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 3.77,
|
325 |
+
"learning_rate": 9.707287933094386e-05,
|
326 |
+
"loss": 0.7744,
|
327 |
+
"step": 470
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 3.85,
|
331 |
+
"learning_rate": 9.677419354838711e-05,
|
332 |
+
"loss": 0.746,
|
333 |
+
"step": 480
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 3.93,
|
337 |
+
"learning_rate": 9.647550776583036e-05,
|
338 |
+
"loss": 0.7282,
|
339 |
+
"step": 490
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 4.0,
|
343 |
+
"eval_accuracy": 0.7683201803833145,
|
344 |
+
"eval_f1": 0.7603757540346687,
|
345 |
+
"eval_loss": 0.6807467937469482,
|
346 |
+
"eval_precision": 0.7746268567673005,
|
347 |
+
"eval_recall": 0.7683201803833145,
|
348 |
+
"eval_runtime": 13.8857,
|
349 |
+
"eval_samples_per_second": 127.757,
|
350 |
+
"eval_steps_per_second": 4.033,
|
351 |
+
"step": 499
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 4.01,
|
355 |
+
"learning_rate": 9.61768219832736e-05,
|
356 |
+
"loss": 0.6907,
|
357 |
+
"step": 500
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 4.09,
|
361 |
+
"learning_rate": 9.587813620071685e-05,
|
362 |
+
"loss": 0.7377,
|
363 |
+
"step": 510
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 4.17,
|
367 |
+
"learning_rate": 9.55794504181601e-05,
|
368 |
+
"loss": 0.7166,
|
369 |
+
"step": 520
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 4.25,
|
373 |
+
"learning_rate": 9.528076463560335e-05,
|
374 |
+
"loss": 0.6948,
|
375 |
+
"step": 530
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 4.33,
|
379 |
+
"learning_rate": 9.49820788530466e-05,
|
380 |
+
"loss": 0.6907,
|
381 |
+
"step": 540
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 4.41,
|
385 |
+
"learning_rate": 9.468339307048984e-05,
|
386 |
+
"loss": 0.7011,
|
387 |
+
"step": 550
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 4.49,
|
391 |
+
"learning_rate": 9.438470728793309e-05,
|
392 |
+
"loss": 0.6377,
|
393 |
+
"step": 560
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 4.57,
|
397 |
+
"learning_rate": 9.408602150537636e-05,
|
398 |
+
"loss": 0.6651,
|
399 |
+
"step": 570
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 4.65,
|
403 |
+
"learning_rate": 9.378733572281961e-05,
|
404 |
+
"loss": 0.6564,
|
405 |
+
"step": 580
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 4.73,
|
409 |
+
"learning_rate": 9.348864994026285e-05,
|
410 |
+
"loss": 0.6498,
|
411 |
+
"step": 590
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 4.81,
|
415 |
+
"learning_rate": 9.31899641577061e-05,
|
416 |
+
"loss": 0.7252,
|
417 |
+
"step": 600
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 4.89,
|
421 |
+
"learning_rate": 9.289127837514935e-05,
|
422 |
+
"loss": 0.6279,
|
423 |
+
"step": 610
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 4.97,
|
427 |
+
"learning_rate": 9.25925925925926e-05,
|
428 |
+
"loss": 0.6165,
|
429 |
+
"step": 620
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 4.99,
|
433 |
+
"eval_accuracy": 0.8015783540022547,
|
434 |
+
"eval_f1": 0.8014834346227482,
|
435 |
+
"eval_loss": 0.6207838654518127,
|
436 |
+
"eval_precision": 0.808772544756013,
|
437 |
+
"eval_recall": 0.8015783540022547,
|
438 |
+
"eval_runtime": 13.9594,
|
439 |
+
"eval_samples_per_second": 127.082,
|
440 |
+
"eval_steps_per_second": 4.012,
|
441 |
+
"step": 623
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 5.05,
|
445 |
+
"learning_rate": 9.229390681003584e-05,
|
446 |
+
"loss": 0.6385,
|
447 |
+
"step": 630
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 5.13,
|
451 |
+
"learning_rate": 9.199522102747909e-05,
|
452 |
+
"loss": 0.6732,
|
453 |
+
"step": 640
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 5.21,
|
457 |
+
"learning_rate": 9.169653524492234e-05,
|
458 |
+
"loss": 0.6464,
|
459 |
+
"step": 650
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 5.29,
|
463 |
+
"learning_rate": 9.13978494623656e-05,
|
464 |
+
"loss": 0.6721,
|
465 |
+
"step": 660
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 5.37,
|
469 |
+
"learning_rate": 9.109916367980885e-05,
|
470 |
+
"loss": 0.6044,
|
471 |
+
"step": 670
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 5.45,
|
475 |
+
"learning_rate": 9.080047789725208e-05,
|
476 |
+
"loss": 0.6356,
|
477 |
+
"step": 680
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 5.53,
|
481 |
+
"learning_rate": 9.050179211469535e-05,
|
482 |
+
"loss": 0.5974,
|
483 |
+
"step": 690
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 5.61,
|
487 |
+
"learning_rate": 9.02031063321386e-05,
|
488 |
+
"loss": 0.6674,
|
489 |
+
"step": 700
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 5.69,
|
493 |
+
"learning_rate": 8.990442054958185e-05,
|
494 |
+
"loss": 0.6068,
|
495 |
+
"step": 710
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 5.77,
|
499 |
+
"learning_rate": 8.960573476702509e-05,
|
500 |
+
"loss": 0.5778,
|
501 |
+
"step": 720
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 5.85,
|
505 |
+
"learning_rate": 8.930704898446834e-05,
|
506 |
+
"loss": 0.6623,
|
507 |
+
"step": 730
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 5.93,
|
511 |
+
"learning_rate": 8.900836320191159e-05,
|
512 |
+
"loss": 0.5946,
|
513 |
+
"step": 740
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 6.0,
|
517 |
+
"eval_accuracy": 0.8043968432919955,
|
518 |
+
"eval_f1": 0.8009427414085736,
|
519 |
+
"eval_loss": 0.5850139260292053,
|
520 |
+
"eval_precision": 0.8083816060983575,
|
521 |
+
"eval_recall": 0.8043968432919955,
|
522 |
+
"eval_runtime": 13.968,
|
523 |
+
"eval_samples_per_second": 127.005,
|
524 |
+
"eval_steps_per_second": 4.009,
|
525 |
+
"step": 748
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 6.01,
|
529 |
+
"learning_rate": 8.870967741935484e-05,
|
530 |
+
"loss": 0.637,
|
531 |
+
"step": 750
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 6.09,
|
535 |
+
"learning_rate": 8.84109916367981e-05,
|
536 |
+
"loss": 0.5925,
|
537 |
+
"step": 760
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 6.17,
|
541 |
+
"learning_rate": 8.811230585424133e-05,
|
542 |
+
"loss": 0.6185,
|
543 |
+
"step": 770
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 6.25,
|
547 |
+
"learning_rate": 8.781362007168459e-05,
|
548 |
+
"loss": 0.5654,
|
549 |
+
"step": 780
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 6.33,
|
553 |
+
"learning_rate": 8.751493428912784e-05,
|
554 |
+
"loss": 0.5526,
|
555 |
+
"step": 790
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 6.41,
|
559 |
+
"learning_rate": 8.72162485065711e-05,
|
560 |
+
"loss": 0.5886,
|
561 |
+
"step": 800
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 6.49,
|
565 |
+
"learning_rate": 8.691756272401434e-05,
|
566 |
+
"loss": 0.6155,
|
567 |
+
"step": 810
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 6.57,
|
571 |
+
"learning_rate": 8.661887694145759e-05,
|
572 |
+
"loss": 0.5868,
|
573 |
+
"step": 820
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 6.65,
|
577 |
+
"learning_rate": 8.632019115890084e-05,
|
578 |
+
"loss": 0.6124,
|
579 |
+
"step": 830
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 6.73,
|
583 |
+
"learning_rate": 8.60215053763441e-05,
|
584 |
+
"loss": 0.5738,
|
585 |
+
"step": 840
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 6.81,
|
589 |
+
"learning_rate": 8.572281959378735e-05,
|
590 |
+
"loss": 0.6027,
|
591 |
+
"step": 850
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 6.89,
|
595 |
+
"learning_rate": 8.542413381123058e-05,
|
596 |
+
"loss": 0.6024,
|
597 |
+
"step": 860
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 6.97,
|
601 |
+
"learning_rate": 8.512544802867384e-05,
|
602 |
+
"loss": 0.6243,
|
603 |
+
"step": 870
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 7.0,
|
607 |
+
"eval_accuracy": 0.7931228861330327,
|
608 |
+
"eval_f1": 0.7934536670951715,
|
609 |
+
"eval_loss": 0.6090168952941895,
|
610 |
+
"eval_precision": 0.8036636158334073,
|
611 |
+
"eval_recall": 0.7931228861330327,
|
612 |
+
"eval_runtime": 13.9191,
|
613 |
+
"eval_samples_per_second": 127.451,
|
614 |
+
"eval_steps_per_second": 4.023,
|
615 |
+
"step": 873
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 7.05,
|
619 |
+
"learning_rate": 8.482676224611709e-05,
|
620 |
+
"loss": 0.5911,
|
621 |
+
"step": 880
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 7.13,
|
625 |
+
"learning_rate": 8.452807646356034e-05,
|
626 |
+
"loss": 0.575,
|
627 |
+
"step": 890
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 7.21,
|
631 |
+
"learning_rate": 8.422939068100359e-05,
|
632 |
+
"loss": 0.5783,
|
633 |
+
"step": 900
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 7.29,
|
637 |
+
"learning_rate": 8.393070489844683e-05,
|
638 |
+
"loss": 0.5047,
|
639 |
+
"step": 910
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 7.37,
|
643 |
+
"learning_rate": 8.363201911589009e-05,
|
644 |
+
"loss": 0.5574,
|
645 |
+
"step": 920
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 7.45,
|
649 |
+
"learning_rate": 8.333333333333334e-05,
|
650 |
+
"loss": 0.5489,
|
651 |
+
"step": 930
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 7.54,
|
655 |
+
"learning_rate": 8.30346475507766e-05,
|
656 |
+
"loss": 0.5754,
|
657 |
+
"step": 940
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 7.62,
|
661 |
+
"learning_rate": 8.273596176821983e-05,
|
662 |
+
"loss": 0.562,
|
663 |
+
"step": 950
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 7.7,
|
667 |
+
"learning_rate": 8.243727598566309e-05,
|
668 |
+
"loss": 0.5474,
|
669 |
+
"step": 960
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 7.78,
|
673 |
+
"learning_rate": 8.213859020310634e-05,
|
674 |
+
"loss": 0.542,
|
675 |
+
"step": 970
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 7.86,
|
679 |
+
"learning_rate": 8.183990442054959e-05,
|
680 |
+
"loss": 0.5261,
|
681 |
+
"step": 980
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 7.94,
|
685 |
+
"learning_rate": 8.154121863799284e-05,
|
686 |
+
"loss": 0.5429,
|
687 |
+
"step": 990
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 8.0,
|
691 |
+
"eval_accuracy": 0.8021420518602029,
|
692 |
+
"eval_f1": 0.800590565745525,
|
693 |
+
"eval_loss": 0.5829988718032837,
|
694 |
+
"eval_precision": 0.8086973403659105,
|
695 |
+
"eval_recall": 0.8021420518602029,
|
696 |
+
"eval_runtime": 13.8868,
|
697 |
+
"eval_samples_per_second": 127.747,
|
698 |
+
"eval_steps_per_second": 4.033,
|
699 |
+
"step": 998
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 8.02,
|
703 |
+
"learning_rate": 8.124253285543608e-05,
|
704 |
+
"loss": 0.5494,
|
705 |
+
"step": 1000
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 8.1,
|
709 |
+
"learning_rate": 8.094384707287933e-05,
|
710 |
+
"loss": 0.4858,
|
711 |
+
"step": 1010
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 8.18,
|
715 |
+
"learning_rate": 8.064516129032258e-05,
|
716 |
+
"loss": 0.4911,
|
717 |
+
"step": 1020
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 8.26,
|
721 |
+
"learning_rate": 8.034647550776585e-05,
|
722 |
+
"loss": 0.5308,
|
723 |
+
"step": 1030
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 8.34,
|
727 |
+
"learning_rate": 8.004778972520908e-05,
|
728 |
+
"loss": 0.4982,
|
729 |
+
"step": 1040
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 8.42,
|
733 |
+
"learning_rate": 7.974910394265234e-05,
|
734 |
+
"loss": 0.5323,
|
735 |
+
"step": 1050
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 8.5,
|
739 |
+
"learning_rate": 7.945041816009559e-05,
|
740 |
+
"loss": 0.5513,
|
741 |
+
"step": 1060
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 8.58,
|
745 |
+
"learning_rate": 7.915173237753884e-05,
|
746 |
+
"loss": 0.5434,
|
747 |
+
"step": 1070
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 8.66,
|
751 |
+
"learning_rate": 7.885304659498209e-05,
|
752 |
+
"loss": 0.5127,
|
753 |
+
"step": 1080
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 8.74,
|
757 |
+
"learning_rate": 7.855436081242533e-05,
|
758 |
+
"loss": 0.5551,
|
759 |
+
"step": 1090
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 8.82,
|
763 |
+
"learning_rate": 7.825567502986858e-05,
|
764 |
+
"loss": 0.4928,
|
765 |
+
"step": 1100
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 8.9,
|
769 |
+
"learning_rate": 7.795698924731183e-05,
|
770 |
+
"loss": 0.5295,
|
771 |
+
"step": 1110
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 8.98,
|
775 |
+
"learning_rate": 7.765830346475508e-05,
|
776 |
+
"loss": 0.558,
|
777 |
+
"step": 1120
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 8.99,
|
781 |
+
"eval_accuracy": 0.8094701240135288,
|
782 |
+
"eval_f1": 0.8080741738843362,
|
783 |
+
"eval_loss": 0.5725377202033997,
|
784 |
+
"eval_precision": 0.8190738508467059,
|
785 |
+
"eval_recall": 0.8094701240135288,
|
786 |
+
"eval_runtime": 13.9705,
|
787 |
+
"eval_samples_per_second": 126.982,
|
788 |
+
"eval_steps_per_second": 4.008,
|
789 |
+
"step": 1122
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 9.06,
|
793 |
+
"learning_rate": 7.735961768219832e-05,
|
794 |
+
"loss": 0.5015,
|
795 |
+
"step": 1130
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 9.14,
|
799 |
+
"learning_rate": 7.706093189964157e-05,
|
800 |
+
"loss": 0.5086,
|
801 |
+
"step": 1140
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 9.22,
|
805 |
+
"learning_rate": 7.676224611708484e-05,
|
806 |
+
"loss": 0.503,
|
807 |
+
"step": 1150
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 9.3,
|
811 |
+
"learning_rate": 7.646356033452809e-05,
|
812 |
+
"loss": 0.454,
|
813 |
+
"step": 1160
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 9.38,
|
817 |
+
"learning_rate": 7.616487455197133e-05,
|
818 |
+
"loss": 0.4917,
|
819 |
+
"step": 1170
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 9.46,
|
823 |
+
"learning_rate": 7.586618876941458e-05,
|
824 |
+
"loss": 0.4835,
|
825 |
+
"step": 1180
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 9.54,
|
829 |
+
"learning_rate": 7.556750298685783e-05,
|
830 |
+
"loss": 0.5217,
|
831 |
+
"step": 1190
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 9.62,
|
835 |
+
"learning_rate": 7.526881720430108e-05,
|
836 |
+
"loss": 0.4515,
|
837 |
+
"step": 1200
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 9.7,
|
841 |
+
"learning_rate": 7.497013142174433e-05,
|
842 |
+
"loss": 0.458,
|
843 |
+
"step": 1210
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 9.78,
|
847 |
+
"learning_rate": 7.467144563918757e-05,
|
848 |
+
"loss": 0.4737,
|
849 |
+
"step": 1220
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 9.86,
|
853 |
+
"learning_rate": 7.437275985663082e-05,
|
854 |
+
"loss": 0.4771,
|
855 |
+
"step": 1230
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 9.94,
|
859 |
+
"learning_rate": 7.407407407407407e-05,
|
860 |
+
"loss": 0.457,
|
861 |
+
"step": 1240
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 10.0,
|
865 |
+
"eval_accuracy": 0.8122886133032694,
|
866 |
+
"eval_f1": 0.8085263361904211,
|
867 |
+
"eval_loss": 0.570176899433136,
|
868 |
+
"eval_precision": 0.8144151275813437,
|
869 |
+
"eval_recall": 0.8122886133032694,
|
870 |
+
"eval_runtime": 13.9223,
|
871 |
+
"eval_samples_per_second": 127.421,
|
872 |
+
"eval_steps_per_second": 4.022,
|
873 |
+
"step": 1247
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 10.02,
|
877 |
+
"learning_rate": 7.377538829151732e-05,
|
878 |
+
"loss": 0.5038,
|
879 |
+
"step": 1250
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 10.1,
|
883 |
+
"learning_rate": 7.347670250896058e-05,
|
884 |
+
"loss": 0.4696,
|
885 |
+
"step": 1260
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 10.18,
|
889 |
+
"learning_rate": 7.317801672640383e-05,
|
890 |
+
"loss": 0.4644,
|
891 |
+
"step": 1270
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 10.26,
|
895 |
+
"learning_rate": 7.287933094384708e-05,
|
896 |
+
"loss": 0.4382,
|
897 |
+
"step": 1280
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 10.34,
|
901 |
+
"learning_rate": 7.258064516129033e-05,
|
902 |
+
"loss": 0.5107,
|
903 |
+
"step": 1290
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 10.42,
|
907 |
+
"learning_rate": 7.228195937873358e-05,
|
908 |
+
"loss": 0.4672,
|
909 |
+
"step": 1300
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 10.5,
|
913 |
+
"learning_rate": 7.198327359617682e-05,
|
914 |
+
"loss": 0.4487,
|
915 |
+
"step": 1310
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 10.58,
|
919 |
+
"learning_rate": 7.168458781362007e-05,
|
920 |
+
"loss": 0.4769,
|
921 |
+
"step": 1320
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 10.66,
|
925 |
+
"learning_rate": 7.138590203106332e-05,
|
926 |
+
"loss": 0.467,
|
927 |
+
"step": 1330
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 10.74,
|
931 |
+
"learning_rate": 7.108721624850657e-05,
|
932 |
+
"loss": 0.4357,
|
933 |
+
"step": 1340
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 10.82,
|
937 |
+
"learning_rate": 7.078853046594983e-05,
|
938 |
+
"loss": 0.4554,
|
939 |
+
"step": 1350
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 10.9,
|
943 |
+
"learning_rate": 7.048984468339306e-05,
|
944 |
+
"loss": 0.4287,
|
945 |
+
"step": 1360
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 10.98,
|
949 |
+
"learning_rate": 7.019115890083633e-05,
|
950 |
+
"loss": 0.4399,
|
951 |
+
"step": 1370
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 11.0,
|
955 |
+
"eval_accuracy": 0.8021420518602029,
|
956 |
+
"eval_f1": 0.7994709899560392,
|
957 |
+
"eval_loss": 0.5973069667816162,
|
958 |
+
"eval_precision": 0.8012595725937439,
|
959 |
+
"eval_recall": 0.8021420518602029,
|
960 |
+
"eval_runtime": 13.9088,
|
961 |
+
"eval_samples_per_second": 127.545,
|
962 |
+
"eval_steps_per_second": 4.026,
|
963 |
+
"step": 1372
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 11.06,
|
967 |
+
"learning_rate": 6.989247311827958e-05,
|
968 |
+
"loss": 0.4462,
|
969 |
+
"step": 1380
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 11.14,
|
973 |
+
"learning_rate": 6.959378733572283e-05,
|
974 |
+
"loss": 0.4108,
|
975 |
+
"step": 1390
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 11.22,
|
979 |
+
"learning_rate": 6.929510155316607e-05,
|
980 |
+
"loss": 0.4281,
|
981 |
+
"step": 1400
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 11.3,
|
985 |
+
"learning_rate": 6.899641577060932e-05,
|
986 |
+
"loss": 0.4398,
|
987 |
+
"step": 1410
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 11.38,
|
991 |
+
"learning_rate": 6.869772998805257e-05,
|
992 |
+
"loss": 0.4099,
|
993 |
+
"step": 1420
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 11.46,
|
997 |
+
"learning_rate": 6.839904420549582e-05,
|
998 |
+
"loss": 0.416,
|
999 |
+
"step": 1430
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 11.54,
|
1003 |
+
"learning_rate": 6.810035842293908e-05,
|
1004 |
+
"loss": 0.4344,
|
1005 |
+
"step": 1440
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 11.62,
|
1009 |
+
"learning_rate": 6.780167264038231e-05,
|
1010 |
+
"loss": 0.4743,
|
1011 |
+
"step": 1450
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 11.7,
|
1015 |
+
"learning_rate": 6.750298685782557e-05,
|
1016 |
+
"loss": 0.4653,
|
1017 |
+
"step": 1460
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 11.78,
|
1021 |
+
"learning_rate": 6.720430107526882e-05,
|
1022 |
+
"loss": 0.432,
|
1023 |
+
"step": 1470
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 11.86,
|
1027 |
+
"learning_rate": 6.690561529271207e-05,
|
1028 |
+
"loss": 0.401,
|
1029 |
+
"step": 1480
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 11.94,
|
1033 |
+
"learning_rate": 6.660692951015532e-05,
|
1034 |
+
"loss": 0.4055,
|
1035 |
+
"step": 1490
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 12.0,
|
1039 |
+
"eval_accuracy": 0.8156708004509583,
|
1040 |
+
"eval_f1": 0.8121920876994667,
|
1041 |
+
"eval_loss": 0.5799275040626526,
|
1042 |
+
"eval_precision": 0.8186260895692437,
|
1043 |
+
"eval_recall": 0.8156708004509583,
|
1044 |
+
"eval_runtime": 13.8727,
|
1045 |
+
"eval_samples_per_second": 127.877,
|
1046 |
+
"eval_steps_per_second": 4.037,
|
1047 |
+
"step": 1497
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 12.02,
|
1051 |
+
"learning_rate": 6.630824372759857e-05,
|
1052 |
+
"loss": 0.4159,
|
1053 |
+
"step": 1500
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 12.1,
|
1057 |
+
"learning_rate": 6.600955794504182e-05,
|
1058 |
+
"loss": 0.4114,
|
1059 |
+
"step": 1510
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 12.18,
|
1063 |
+
"learning_rate": 6.571087216248507e-05,
|
1064 |
+
"loss": 0.3556,
|
1065 |
+
"step": 1520
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 12.26,
|
1069 |
+
"learning_rate": 6.541218637992833e-05,
|
1070 |
+
"loss": 0.3985,
|
1071 |
+
"step": 1530
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 12.34,
|
1075 |
+
"learning_rate": 6.511350059737156e-05,
|
1076 |
+
"loss": 0.3881,
|
1077 |
+
"step": 1540
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 12.42,
|
1081 |
+
"learning_rate": 6.481481481481482e-05,
|
1082 |
+
"loss": 0.4056,
|
1083 |
+
"step": 1550
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 12.51,
|
1087 |
+
"learning_rate": 6.451612903225807e-05,
|
1088 |
+
"loss": 0.376,
|
1089 |
+
"step": 1560
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 12.59,
|
1093 |
+
"learning_rate": 6.421744324970132e-05,
|
1094 |
+
"loss": 0.4252,
|
1095 |
+
"step": 1570
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 12.67,
|
1099 |
+
"learning_rate": 6.391875746714456e-05,
|
1100 |
+
"loss": 0.4305,
|
1101 |
+
"step": 1580
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 12.75,
|
1105 |
+
"learning_rate": 6.362007168458781e-05,
|
1106 |
+
"loss": 0.4046,
|
1107 |
+
"step": 1590
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 12.83,
|
1111 |
+
"learning_rate": 6.332138590203107e-05,
|
1112 |
+
"loss": 0.4145,
|
1113 |
+
"step": 1600
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 12.91,
|
1117 |
+
"learning_rate": 6.302270011947432e-05,
|
1118 |
+
"loss": 0.3957,
|
1119 |
+
"step": 1610
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 12.99,
|
1123 |
+
"learning_rate": 6.272401433691756e-05,
|
1124 |
+
"loss": 0.417,
|
1125 |
+
"step": 1620
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 12.99,
|
1129 |
+
"eval_accuracy": 0.8060879368658399,
|
1130 |
+
"eval_f1": 0.8065978971439847,
|
1131 |
+
"eval_loss": 0.6005584597587585,
|
1132 |
+
"eval_precision": 0.8174852930657591,
|
1133 |
+
"eval_recall": 0.8060879368658399,
|
1134 |
+
"eval_runtime": 13.8751,
|
1135 |
+
"eval_samples_per_second": 127.855,
|
1136 |
+
"eval_steps_per_second": 4.036,
|
1137 |
+
"step": 1621
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 13.07,
|
1141 |
+
"learning_rate": 6.242532855436081e-05,
|
1142 |
+
"loss": 0.3922,
|
1143 |
+
"step": 1630
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 13.15,
|
1147 |
+
"learning_rate": 6.212664277180407e-05,
|
1148 |
+
"loss": 0.3669,
|
1149 |
+
"step": 1640
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 13.23,
|
1153 |
+
"learning_rate": 6.182795698924732e-05,
|
1154 |
+
"loss": 0.3481,
|
1155 |
+
"step": 1650
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 13.31,
|
1159 |
+
"learning_rate": 6.152927120669057e-05,
|
1160 |
+
"loss": 0.4228,
|
1161 |
+
"step": 1660
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 13.39,
|
1165 |
+
"learning_rate": 6.12305854241338e-05,
|
1166 |
+
"loss": 0.4005,
|
1167 |
+
"step": 1670
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 13.47,
|
1171 |
+
"learning_rate": 6.093189964157706e-05,
|
1172 |
+
"loss": 0.3907,
|
1173 |
+
"step": 1680
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 13.55,
|
1177 |
+
"learning_rate": 6.063321385902031e-05,
|
1178 |
+
"loss": 0.3794,
|
1179 |
+
"step": 1690
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 13.63,
|
1183 |
+
"learning_rate": 6.033452807646356e-05,
|
1184 |
+
"loss": 0.3674,
|
1185 |
+
"step": 1700
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 13.71,
|
1189 |
+
"learning_rate": 6.0035842293906806e-05,
|
1190 |
+
"loss": 0.3755,
|
1191 |
+
"step": 1710
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 13.79,
|
1195 |
+
"learning_rate": 5.9737156511350064e-05,
|
1196 |
+
"loss": 0.3894,
|
1197 |
+
"step": 1720
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 13.87,
|
1201 |
+
"learning_rate": 5.9438470728793316e-05,
|
1202 |
+
"loss": 0.3896,
|
1203 |
+
"step": 1730
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 13.95,
|
1207 |
+
"learning_rate": 5.913978494623657e-05,
|
1208 |
+
"loss": 0.3843,
|
1209 |
+
"step": 1740
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 14.0,
|
1213 |
+
"eval_accuracy": 0.8235625704622322,
|
1214 |
+
"eval_f1": 0.8211884981742252,
|
1215 |
+
"eval_loss": 0.5849118232727051,
|
1216 |
+
"eval_precision": 0.8257093320559268,
|
1217 |
+
"eval_recall": 0.8235625704622322,
|
1218 |
+
"eval_runtime": 13.9088,
|
1219 |
+
"eval_samples_per_second": 127.545,
|
1220 |
+
"eval_steps_per_second": 4.026,
|
1221 |
+
"step": 1746
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 14.03,
|
1225 |
+
"learning_rate": 5.884109916367981e-05,
|
1226 |
+
"loss": 0.3812,
|
1227 |
+
"step": 1750
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 14.11,
|
1231 |
+
"learning_rate": 5.8542413381123063e-05,
|
1232 |
+
"loss": 0.3649,
|
1233 |
+
"step": 1760
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 14.19,
|
1237 |
+
"learning_rate": 5.824372759856631e-05,
|
1238 |
+
"loss": 0.3558,
|
1239 |
+
"step": 1770
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 14.27,
|
1243 |
+
"learning_rate": 5.794504181600956e-05,
|
1244 |
+
"loss": 0.3546,
|
1245 |
+
"step": 1780
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 14.35,
|
1249 |
+
"learning_rate": 5.764635603345281e-05,
|
1250 |
+
"loss": 0.3358,
|
1251 |
+
"step": 1790
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 14.43,
|
1255 |
+
"learning_rate": 5.7347670250896056e-05,
|
1256 |
+
"loss": 0.3642,
|
1257 |
+
"step": 1800
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 14.51,
|
1261 |
+
"learning_rate": 5.704898446833931e-05,
|
1262 |
+
"loss": 0.3864,
|
1263 |
+
"step": 1810
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 14.59,
|
1267 |
+
"learning_rate": 5.675029868578255e-05,
|
1268 |
+
"loss": 0.3888,
|
1269 |
+
"step": 1820
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 14.67,
|
1273 |
+
"learning_rate": 5.645161290322582e-05,
|
1274 |
+
"loss": 0.3685,
|
1275 |
+
"step": 1830
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 14.75,
|
1279 |
+
"learning_rate": 5.615292712066906e-05,
|
1280 |
+
"loss": 0.3526,
|
1281 |
+
"step": 1840
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 14.83,
|
1285 |
+
"learning_rate": 5.5854241338112313e-05,
|
1286 |
+
"loss": 0.3508,
|
1287 |
+
"step": 1850
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 14.91,
|
1291 |
+
"learning_rate": 5.555555555555556e-05,
|
1292 |
+
"loss": 0.3899,
|
1293 |
+
"step": 1860
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 14.99,
|
1297 |
+
"learning_rate": 5.525686977299881e-05,
|
1298 |
+
"loss": 0.371,
|
1299 |
+
"step": 1870
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 15.0,
|
1303 |
+
"eval_accuracy": 0.8196166854565953,
|
1304 |
+
"eval_f1": 0.8160946296928634,
|
1305 |
+
"eval_loss": 0.5710554718971252,
|
1306 |
+
"eval_precision": 0.8157171716885654,
|
1307 |
+
"eval_recall": 0.8196166854565953,
|
1308 |
+
"eval_runtime": 13.9159,
|
1309 |
+
"eval_samples_per_second": 127.48,
|
1310 |
+
"eval_steps_per_second": 4.024,
|
1311 |
+
"step": 1871
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 15.07,
|
1315 |
+
"learning_rate": 5.495818399044206e-05,
|
1316 |
+
"loss": 0.3403,
|
1317 |
+
"step": 1880
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 15.15,
|
1321 |
+
"learning_rate": 5.4659498207885306e-05,
|
1322 |
+
"loss": 0.3424,
|
1323 |
+
"step": 1890
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 15.23,
|
1327 |
+
"learning_rate": 5.436081242532856e-05,
|
1328 |
+
"loss": 0.3215,
|
1329 |
+
"step": 1900
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 15.31,
|
1333 |
+
"learning_rate": 5.40621266427718e-05,
|
1334 |
+
"loss": 0.3331,
|
1335 |
+
"step": 1910
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 15.39,
|
1339 |
+
"learning_rate": 5.3763440860215054e-05,
|
1340 |
+
"loss": 0.3256,
|
1341 |
+
"step": 1920
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 15.47,
|
1345 |
+
"learning_rate": 5.34647550776583e-05,
|
1346 |
+
"loss": 0.3904,
|
1347 |
+
"step": 1930
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 15.55,
|
1351 |
+
"learning_rate": 5.316606929510155e-05,
|
1352 |
+
"loss": 0.3341,
|
1353 |
+
"step": 1940
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 15.63,
|
1357 |
+
"learning_rate": 5.286738351254481e-05,
|
1358 |
+
"loss": 0.3314,
|
1359 |
+
"step": 1950
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 15.71,
|
1363 |
+
"learning_rate": 5.256869772998806e-05,
|
1364 |
+
"loss": 0.3456,
|
1365 |
+
"step": 1960
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 15.79,
|
1369 |
+
"learning_rate": 5.2270011947431304e-05,
|
1370 |
+
"loss": 0.3519,
|
1371 |
+
"step": 1970
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 15.87,
|
1375 |
+
"learning_rate": 5.1971326164874556e-05,
|
1376 |
+
"loss": 0.3828,
|
1377 |
+
"step": 1980
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 15.95,
|
1381 |
+
"learning_rate": 5.167264038231781e-05,
|
1382 |
+
"loss": 0.3546,
|
1383 |
+
"step": 1990
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 16.0,
|
1387 |
+
"eval_accuracy": 0.8139797068771139,
|
1388 |
+
"eval_f1": 0.8146871974463645,
|
1389 |
+
"eval_loss": 0.6050013899803162,
|
1390 |
+
"eval_precision": 0.8170888548475337,
|
1391 |
+
"eval_recall": 0.8139797068771139,
|
1392 |
+
"eval_runtime": 13.9647,
|
1393 |
+
"eval_samples_per_second": 127.034,
|
1394 |
+
"eval_steps_per_second": 4.01,
|
1395 |
+
"step": 1996
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 16.03,
|
1399 |
+
"learning_rate": 5.137395459976105e-05,
|
1400 |
+
"loss": 0.2979,
|
1401 |
+
"step": 2000
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 16.11,
|
1405 |
+
"learning_rate": 5.1075268817204304e-05,
|
1406 |
+
"loss": 0.3127,
|
1407 |
+
"step": 2010
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 16.19,
|
1411 |
+
"learning_rate": 5.077658303464755e-05,
|
1412 |
+
"loss": 0.3268,
|
1413 |
+
"step": 2020
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 16.27,
|
1417 |
+
"learning_rate": 5.04778972520908e-05,
|
1418 |
+
"loss": 0.3028,
|
1419 |
+
"step": 2030
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 16.35,
|
1423 |
+
"learning_rate": 5.017921146953405e-05,
|
1424 |
+
"loss": 0.3038,
|
1425 |
+
"step": 2040
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 16.43,
|
1429 |
+
"learning_rate": 4.98805256869773e-05,
|
1430 |
+
"loss": 0.3026,
|
1431 |
+
"step": 2050
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 16.51,
|
1435 |
+
"learning_rate": 4.9581839904420555e-05,
|
1436 |
+
"loss": 0.3286,
|
1437 |
+
"step": 2060
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 16.59,
|
1441 |
+
"learning_rate": 4.92831541218638e-05,
|
1442 |
+
"loss": 0.3566,
|
1443 |
+
"step": 2070
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 16.67,
|
1447 |
+
"learning_rate": 4.898446833930705e-05,
|
1448 |
+
"loss": 0.3359,
|
1449 |
+
"step": 2080
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 16.75,
|
1453 |
+
"learning_rate": 4.86857825567503e-05,
|
1454 |
+
"loss": 0.3429,
|
1455 |
+
"step": 2090
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 16.83,
|
1459 |
+
"learning_rate": 4.8387096774193554e-05,
|
1460 |
+
"loss": 0.3022,
|
1461 |
+
"step": 2100
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 16.91,
|
1465 |
+
"learning_rate": 4.80884109916368e-05,
|
1466 |
+
"loss": 0.2499,
|
1467 |
+
"step": 2110
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 16.99,
|
1471 |
+
"learning_rate": 4.778972520908005e-05,
|
1472 |
+
"loss": 0.2935,
|
1473 |
+
"step": 2120
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 16.99,
|
1477 |
+
"eval_accuracy": 0.8105975197294251,
|
1478 |
+
"eval_f1": 0.8091270414673493,
|
1479 |
+
"eval_loss": 0.6425190567970276,
|
1480 |
+
"eval_precision": 0.8159338106488563,
|
1481 |
+
"eval_recall": 0.8105975197294251,
|
1482 |
+
"eval_runtime": 13.9131,
|
1483 |
+
"eval_samples_per_second": 127.506,
|
1484 |
+
"eval_steps_per_second": 4.025,
|
1485 |
+
"step": 2120
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 17.07,
|
1489 |
+
"learning_rate": 4.74910394265233e-05,
|
1490 |
+
"loss": 0.3291,
|
1491 |
+
"step": 2130
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 17.15,
|
1495 |
+
"learning_rate": 4.7192353643966546e-05,
|
1496 |
+
"loss": 0.2689,
|
1497 |
+
"step": 2140
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 17.23,
|
1501 |
+
"learning_rate": 4.6893667861409805e-05,
|
1502 |
+
"loss": 0.3085,
|
1503 |
+
"step": 2150
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 17.31,
|
1507 |
+
"learning_rate": 4.659498207885305e-05,
|
1508 |
+
"loss": 0.3301,
|
1509 |
+
"step": 2160
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 17.39,
|
1513 |
+
"learning_rate": 4.62962962962963e-05,
|
1514 |
+
"loss": 0.3513,
|
1515 |
+
"step": 2170
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 17.47,
|
1519 |
+
"learning_rate": 4.5997610513739546e-05,
|
1520 |
+
"loss": 0.3126,
|
1521 |
+
"step": 2180
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 17.56,
|
1525 |
+
"learning_rate": 4.56989247311828e-05,
|
1526 |
+
"loss": 0.3097,
|
1527 |
+
"step": 2190
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 17.64,
|
1531 |
+
"learning_rate": 4.540023894862604e-05,
|
1532 |
+
"loss": 0.2827,
|
1533 |
+
"step": 2200
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 17.72,
|
1537 |
+
"learning_rate": 4.51015531660693e-05,
|
1538 |
+
"loss": 0.3009,
|
1539 |
+
"step": 2210
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 17.8,
|
1543 |
+
"learning_rate": 4.4802867383512545e-05,
|
1544 |
+
"loss": 0.2964,
|
1545 |
+
"step": 2220
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 17.88,
|
1549 |
+
"learning_rate": 4.4504181600955796e-05,
|
1550 |
+
"loss": 0.3333,
|
1551 |
+
"step": 2230
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 17.96,
|
1555 |
+
"learning_rate": 4.420549581839905e-05,
|
1556 |
+
"loss": 0.2505,
|
1557 |
+
"step": 2240
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 18.0,
|
1561 |
+
"eval_accuracy": 0.8111612175873731,
|
1562 |
+
"eval_f1": 0.8085505452503554,
|
1563 |
+
"eval_loss": 0.6569081544876099,
|
1564 |
+
"eval_precision": 0.8090615845706326,
|
1565 |
+
"eval_recall": 0.8111612175873731,
|
1566 |
+
"eval_runtime": 13.9528,
|
1567 |
+
"eval_samples_per_second": 127.143,
|
1568 |
+
"eval_steps_per_second": 4.014,
|
1569 |
+
"step": 2245
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 18.04,
|
1573 |
+
"learning_rate": 4.390681003584229e-05,
|
1574 |
+
"loss": 0.3185,
|
1575 |
+
"step": 2250
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 18.12,
|
1579 |
+
"learning_rate": 4.360812425328555e-05,
|
1580 |
+
"loss": 0.2652,
|
1581 |
+
"step": 2260
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 18.2,
|
1585 |
+
"learning_rate": 4.3309438470728796e-05,
|
1586 |
+
"loss": 0.2574,
|
1587 |
+
"step": 2270
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 18.28,
|
1591 |
+
"learning_rate": 4.301075268817205e-05,
|
1592 |
+
"loss": 0.2881,
|
1593 |
+
"step": 2280
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 18.36,
|
1597 |
+
"learning_rate": 4.271206690561529e-05,
|
1598 |
+
"loss": 0.2817,
|
1599 |
+
"step": 2290
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 18.44,
|
1603 |
+
"learning_rate": 4.241338112305854e-05,
|
1604 |
+
"loss": 0.2459,
|
1605 |
+
"step": 2300
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 18.52,
|
1609 |
+
"learning_rate": 4.2114695340501795e-05,
|
1610 |
+
"loss": 0.2439,
|
1611 |
+
"step": 2310
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 18.6,
|
1615 |
+
"learning_rate": 4.1816009557945046e-05,
|
1616 |
+
"loss": 0.3175,
|
1617 |
+
"step": 2320
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 18.68,
|
1621 |
+
"learning_rate": 4.15173237753883e-05,
|
1622 |
+
"loss": 0.2769,
|
1623 |
+
"step": 2330
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 18.76,
|
1627 |
+
"learning_rate": 4.121863799283154e-05,
|
1628 |
+
"loss": 0.2501,
|
1629 |
+
"step": 2340
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 18.84,
|
1633 |
+
"learning_rate": 4.0919952210274794e-05,
|
1634 |
+
"loss": 0.2753,
|
1635 |
+
"step": 2350
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 18.92,
|
1639 |
+
"learning_rate": 4.062126642771804e-05,
|
1640 |
+
"loss": 0.2596,
|
1641 |
+
"step": 2360
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 19.0,
|
1645 |
+
"learning_rate": 4.032258064516129e-05,
|
1646 |
+
"loss": 0.3094,
|
1647 |
+
"step": 2370
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 19.0,
|
1651 |
+
"eval_accuracy": 0.8162344983089064,
|
1652 |
+
"eval_f1": 0.8137230782611028,
|
1653 |
+
"eval_loss": 0.6557679176330566,
|
1654 |
+
"eval_precision": 0.8136560183765512,
|
1655 |
+
"eval_recall": 0.8162344983089064,
|
1656 |
+
"eval_runtime": 13.916,
|
1657 |
+
"eval_samples_per_second": 127.479,
|
1658 |
+
"eval_steps_per_second": 4.024,
|
1659 |
+
"step": 2370
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 19.08,
|
1663 |
+
"learning_rate": 4.002389486260454e-05,
|
1664 |
+
"loss": 0.2808,
|
1665 |
+
"step": 2380
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 19.16,
|
1669 |
+
"learning_rate": 3.972520908004779e-05,
|
1670 |
+
"loss": 0.2711,
|
1671 |
+
"step": 2390
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 19.24,
|
1675 |
+
"learning_rate": 3.9426523297491045e-05,
|
1676 |
+
"loss": 0.2398,
|
1677 |
+
"step": 2400
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 19.32,
|
1681 |
+
"learning_rate": 3.912783751493429e-05,
|
1682 |
+
"loss": 0.2486,
|
1683 |
+
"step": 2410
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 19.4,
|
1687 |
+
"learning_rate": 3.882915173237754e-05,
|
1688 |
+
"loss": 0.298,
|
1689 |
+
"step": 2420
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 19.48,
|
1693 |
+
"learning_rate": 3.8530465949820786e-05,
|
1694 |
+
"loss": 0.2912,
|
1695 |
+
"step": 2430
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 19.56,
|
1699 |
+
"learning_rate": 3.8231780167264044e-05,
|
1700 |
+
"loss": 0.2639,
|
1701 |
+
"step": 2440
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 19.64,
|
1705 |
+
"learning_rate": 3.793309438470729e-05,
|
1706 |
+
"loss": 0.2576,
|
1707 |
+
"step": 2450
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 19.72,
|
1711 |
+
"learning_rate": 3.763440860215054e-05,
|
1712 |
+
"loss": 0.279,
|
1713 |
+
"step": 2460
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 19.8,
|
1717 |
+
"learning_rate": 3.7335722819593785e-05,
|
1718 |
+
"loss": 0.2663,
|
1719 |
+
"step": 2470
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 19.88,
|
1723 |
+
"learning_rate": 3.7037037037037037e-05,
|
1724 |
+
"loss": 0.2825,
|
1725 |
+
"step": 2480
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 19.96,
|
1729 |
+
"learning_rate": 3.673835125448029e-05,
|
1730 |
+
"loss": 0.2739,
|
1731 |
+
"step": 2490
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 20.0,
|
1735 |
+
"eval_accuracy": 0.8066516347237881,
|
1736 |
+
"eval_f1": 0.802546589933035,
|
1737 |
+
"eval_loss": 0.7201483249664307,
|
1738 |
+
"eval_precision": 0.8094414374058572,
|
1739 |
+
"eval_recall": 0.8066516347237881,
|
1740 |
+
"eval_runtime": 13.9211,
|
1741 |
+
"eval_samples_per_second": 127.433,
|
1742 |
+
"eval_steps_per_second": 4.023,
|
1743 |
+
"step": 2495
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 20.04,
|
1747 |
+
"learning_rate": 3.643966547192354e-05,
|
1748 |
+
"loss": 0.2703,
|
1749 |
+
"step": 2500
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 20.12,
|
1753 |
+
"learning_rate": 3.614097968936679e-05,
|
1754 |
+
"loss": 0.2246,
|
1755 |
+
"step": 2510
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 20.2,
|
1759 |
+
"learning_rate": 3.5842293906810036e-05,
|
1760 |
+
"loss": 0.2629,
|
1761 |
+
"step": 2520
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 20.28,
|
1765 |
+
"learning_rate": 3.554360812425329e-05,
|
1766 |
+
"loss": 0.262,
|
1767 |
+
"step": 2530
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 20.36,
|
1771 |
+
"learning_rate": 3.524492234169653e-05,
|
1772 |
+
"loss": 0.2514,
|
1773 |
+
"step": 2540
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 20.44,
|
1777 |
+
"learning_rate": 3.494623655913979e-05,
|
1778 |
+
"loss": 0.2242,
|
1779 |
+
"step": 2550
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 20.52,
|
1783 |
+
"learning_rate": 3.4647550776583035e-05,
|
1784 |
+
"loss": 0.2515,
|
1785 |
+
"step": 2560
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 20.6,
|
1789 |
+
"learning_rate": 3.4348864994026287e-05,
|
1790 |
+
"loss": 0.2493,
|
1791 |
+
"step": 2570
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 20.68,
|
1795 |
+
"learning_rate": 3.405017921146954e-05,
|
1796 |
+
"loss": 0.2214,
|
1797 |
+
"step": 2580
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 20.76,
|
1801 |
+
"learning_rate": 3.375149342891278e-05,
|
1802 |
+
"loss": 0.2572,
|
1803 |
+
"step": 2590
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 20.84,
|
1807 |
+
"learning_rate": 3.3452807646356034e-05,
|
1808 |
+
"loss": 0.284,
|
1809 |
+
"step": 2600
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 20.92,
|
1813 |
+
"learning_rate": 3.3154121863799286e-05,
|
1814 |
+
"loss": 0.2224,
|
1815 |
+
"step": 2610
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 20.99,
|
1819 |
+
"eval_accuracy": 0.8139797068771139,
|
1820 |
+
"eval_f1": 0.8113945895758867,
|
1821 |
+
"eval_loss": 0.7226550579071045,
|
1822 |
+
"eval_precision": 0.817507486502582,
|
1823 |
+
"eval_recall": 0.8139797068771139,
|
1824 |
+
"eval_runtime": 13.9528,
|
1825 |
+
"eval_samples_per_second": 127.143,
|
1826 |
+
"eval_steps_per_second": 4.014,
|
1827 |
+
"step": 2619
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 21.0,
|
1831 |
+
"learning_rate": 3.285543608124254e-05,
|
1832 |
+
"loss": 0.2487,
|
1833 |
+
"step": 2620
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 21.08,
|
1837 |
+
"learning_rate": 3.255675029868578e-05,
|
1838 |
+
"loss": 0.2287,
|
1839 |
+
"step": 2630
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 21.16,
|
1843 |
+
"learning_rate": 3.2258064516129034e-05,
|
1844 |
+
"loss": 0.2602,
|
1845 |
+
"step": 2640
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 21.24,
|
1849 |
+
"learning_rate": 3.195937873357228e-05,
|
1850 |
+
"loss": 0.2418,
|
1851 |
+
"step": 2650
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 21.32,
|
1855 |
+
"learning_rate": 3.1660692951015537e-05,
|
1856 |
+
"loss": 0.2257,
|
1857 |
+
"step": 2660
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 21.4,
|
1861 |
+
"learning_rate": 3.136200716845878e-05,
|
1862 |
+
"loss": 0.245,
|
1863 |
+
"step": 2670
|
1864 |
+
},
|
1865 |
+
{
|
1866 |
+
"epoch": 21.48,
|
1867 |
+
"learning_rate": 3.106332138590203e-05,
|
1868 |
+
"loss": 0.2372,
|
1869 |
+
"step": 2680
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 21.56,
|
1873 |
+
"learning_rate": 3.0764635603345284e-05,
|
1874 |
+
"loss": 0.2423,
|
1875 |
+
"step": 2690
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 21.64,
|
1879 |
+
"learning_rate": 3.046594982078853e-05,
|
1880 |
+
"loss": 0.2382,
|
1881 |
+
"step": 2700
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 21.72,
|
1885 |
+
"learning_rate": 3.016726403823178e-05,
|
1886 |
+
"loss": 0.2612,
|
1887 |
+
"step": 2710
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 21.8,
|
1891 |
+
"learning_rate": 2.9868578255675032e-05,
|
1892 |
+
"loss": 0.2672,
|
1893 |
+
"step": 2720
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 21.88,
|
1897 |
+
"learning_rate": 2.9569892473118284e-05,
|
1898 |
+
"loss": 0.2709,
|
1899 |
+
"step": 2730
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 21.96,
|
1903 |
+
"learning_rate": 2.9271206690561532e-05,
|
1904 |
+
"loss": 0.2359,
|
1905 |
+
"step": 2740
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 22.0,
|
1909 |
+
"eval_accuracy": 0.8156708004509583,
|
1910 |
+
"eval_f1": 0.8136226295183577,
|
1911 |
+
"eval_loss": 0.6940749287605286,
|
1912 |
+
"eval_precision": 0.8141746574510457,
|
1913 |
+
"eval_recall": 0.8156708004509583,
|
1914 |
+
"eval_runtime": 13.9138,
|
1915 |
+
"eval_samples_per_second": 127.499,
|
1916 |
+
"eval_steps_per_second": 4.025,
|
1917 |
+
"step": 2744
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 22.04,
|
1921 |
+
"learning_rate": 2.897252090800478e-05,
|
1922 |
+
"loss": 0.24,
|
1923 |
+
"step": 2750
|
1924 |
+
},
|
1925 |
+
{
|
1926 |
+
"epoch": 22.12,
|
1927 |
+
"learning_rate": 2.8673835125448028e-05,
|
1928 |
+
"loss": 0.2392,
|
1929 |
+
"step": 2760
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 22.2,
|
1933 |
+
"learning_rate": 2.8375149342891276e-05,
|
1934 |
+
"loss": 0.2119,
|
1935 |
+
"step": 2770
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 22.28,
|
1939 |
+
"learning_rate": 2.807646356033453e-05,
|
1940 |
+
"loss": 0.2302,
|
1941 |
+
"step": 2780
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 22.36,
|
1945 |
+
"learning_rate": 2.777777777777778e-05,
|
1946 |
+
"loss": 0.2252,
|
1947 |
+
"step": 2790
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 22.44,
|
1951 |
+
"learning_rate": 2.747909199522103e-05,
|
1952 |
+
"loss": 0.2462,
|
1953 |
+
"step": 2800
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 22.53,
|
1957 |
+
"learning_rate": 2.718040621266428e-05,
|
1958 |
+
"loss": 0.2013,
|
1959 |
+
"step": 2810
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 22.61,
|
1963 |
+
"learning_rate": 2.6881720430107527e-05,
|
1964 |
+
"loss": 0.2161,
|
1965 |
+
"step": 2820
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 22.69,
|
1969 |
+
"learning_rate": 2.6583034647550775e-05,
|
1970 |
+
"loss": 0.234,
|
1971 |
+
"step": 2830
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 22.77,
|
1975 |
+
"learning_rate": 2.628434886499403e-05,
|
1976 |
+
"loss": 0.2262,
|
1977 |
+
"step": 2840
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 22.85,
|
1981 |
+
"learning_rate": 2.5985663082437278e-05,
|
1982 |
+
"loss": 0.2512,
|
1983 |
+
"step": 2850
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 22.93,
|
1987 |
+
"learning_rate": 2.5686977299880526e-05,
|
1988 |
+
"loss": 0.2535,
|
1989 |
+
"step": 2860
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 23.0,
|
1993 |
+
"eval_accuracy": 0.8156708004509583,
|
1994 |
+
"eval_f1": 0.81227251289756,
|
1995 |
+
"eval_loss": 0.7086111307144165,
|
1996 |
+
"eval_precision": 0.8160279268347481,
|
1997 |
+
"eval_recall": 0.8156708004509583,
|
1998 |
+
"eval_runtime": 13.9265,
|
1999 |
+
"eval_samples_per_second": 127.383,
|
2000 |
+
"eval_steps_per_second": 4.021,
|
2001 |
+
"step": 2869
|
2002 |
+
},
|
2003 |
+
{
|
2004 |
+
"epoch": 23.01,
|
2005 |
+
"learning_rate": 2.5388291517323774e-05,
|
2006 |
+
"loss": 0.2342,
|
2007 |
+
"step": 2870
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 23.09,
|
2011 |
+
"learning_rate": 2.5089605734767026e-05,
|
2012 |
+
"loss": 0.2462,
|
2013 |
+
"step": 2880
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 23.17,
|
2017 |
+
"learning_rate": 2.4790919952210277e-05,
|
2018 |
+
"loss": 0.2265,
|
2019 |
+
"step": 2890
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 23.25,
|
2023 |
+
"learning_rate": 2.4492234169653525e-05,
|
2024 |
+
"loss": 0.2021,
|
2025 |
+
"step": 2900
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 23.33,
|
2029 |
+
"learning_rate": 2.4193548387096777e-05,
|
2030 |
+
"loss": 0.2297,
|
2031 |
+
"step": 2910
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 23.41,
|
2035 |
+
"learning_rate": 2.3894862604540025e-05,
|
2036 |
+
"loss": 0.2118,
|
2037 |
+
"step": 2920
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 23.49,
|
2041 |
+
"learning_rate": 2.3596176821983273e-05,
|
2042 |
+
"loss": 0.2336,
|
2043 |
+
"step": 2930
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 23.57,
|
2047 |
+
"learning_rate": 2.3297491039426525e-05,
|
2048 |
+
"loss": 0.2567,
|
2049 |
+
"step": 2940
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 23.65,
|
2053 |
+
"learning_rate": 2.2998805256869773e-05,
|
2054 |
+
"loss": 0.2195,
|
2055 |
+
"step": 2950
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 23.73,
|
2059 |
+
"learning_rate": 2.270011947431302e-05,
|
2060 |
+
"loss": 0.2118,
|
2061 |
+
"step": 2960
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 23.81,
|
2065 |
+
"learning_rate": 2.2401433691756272e-05,
|
2066 |
+
"loss": 0.2059,
|
2067 |
+
"step": 2970
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 23.89,
|
2071 |
+
"learning_rate": 2.2102747909199524e-05,
|
2072 |
+
"loss": 0.2296,
|
2073 |
+
"step": 2980
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 23.97,
|
2077 |
+
"learning_rate": 2.1804062126642775e-05,
|
2078 |
+
"loss": 0.2047,
|
2079 |
+
"step": 2990
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 24.0,
|
2083 |
+
"eval_accuracy": 0.8235625704622322,
|
2084 |
+
"eval_f1": 0.8207213990294976,
|
2085 |
+
"eval_loss": 0.718461275100708,
|
2086 |
+
"eval_precision": 0.8235593618387343,
|
2087 |
+
"eval_recall": 0.8235625704622322,
|
2088 |
+
"eval_runtime": 13.9231,
|
2089 |
+
"eval_samples_per_second": 127.414,
|
2090 |
+
"eval_steps_per_second": 4.022,
|
2091 |
+
"step": 2994
|
2092 |
+
},
|
2093 |
+
{
|
2094 |
+
"epoch": 24.05,
|
2095 |
+
"learning_rate": 2.1505376344086024e-05,
|
2096 |
+
"loss": 0.2186,
|
2097 |
+
"step": 3000
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 24.13,
|
2101 |
+
"learning_rate": 2.120669056152927e-05,
|
2102 |
+
"loss": 0.225,
|
2103 |
+
"step": 3010
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 24.21,
|
2107 |
+
"learning_rate": 2.0908004778972523e-05,
|
2108 |
+
"loss": 0.2026,
|
2109 |
+
"step": 3020
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 24.29,
|
2113 |
+
"learning_rate": 2.060931899641577e-05,
|
2114 |
+
"loss": 0.2395,
|
2115 |
+
"step": 3030
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 24.37,
|
2119 |
+
"learning_rate": 2.031063321385902e-05,
|
2120 |
+
"loss": 0.2248,
|
2121 |
+
"step": 3040
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 24.45,
|
2125 |
+
"learning_rate": 2.001194743130227e-05,
|
2126 |
+
"loss": 0.2428,
|
2127 |
+
"step": 3050
|
2128 |
+
},
|
2129 |
+
{
|
2130 |
+
"epoch": 24.53,
|
2131 |
+
"learning_rate": 1.9713261648745522e-05,
|
2132 |
+
"loss": 0.205,
|
2133 |
+
"step": 3060
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 24.61,
|
2137 |
+
"learning_rate": 1.941457586618877e-05,
|
2138 |
+
"loss": 0.1945,
|
2139 |
+
"step": 3070
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 24.69,
|
2143 |
+
"learning_rate": 1.9115890083632022e-05,
|
2144 |
+
"loss": 0.2383,
|
2145 |
+
"step": 3080
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 24.77,
|
2149 |
+
"learning_rate": 1.881720430107527e-05,
|
2150 |
+
"loss": 0.2024,
|
2151 |
+
"step": 3090
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 24.85,
|
2155 |
+
"learning_rate": 1.8518518518518518e-05,
|
2156 |
+
"loss": 0.2566,
|
2157 |
+
"step": 3100
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 24.93,
|
2161 |
+
"learning_rate": 1.821983273596177e-05,
|
2162 |
+
"loss": 0.2162,
|
2163 |
+
"step": 3110
|
2164 |
+
},
|
2165 |
+
{
|
2166 |
+
"epoch": 24.99,
|
2167 |
+
"eval_accuracy": 0.8218714768883878,
|
2168 |
+
"eval_f1": 0.819374560219833,
|
2169 |
+
"eval_loss": 0.7135424017906189,
|
2170 |
+
"eval_precision": 0.8200242274112762,
|
2171 |
+
"eval_recall": 0.8218714768883878,
|
2172 |
+
"eval_runtime": 13.9436,
|
2173 |
+
"eval_samples_per_second": 127.227,
|
2174 |
+
"eval_steps_per_second": 4.016,
|
2175 |
+
"step": 3118
|
2176 |
+
},
|
2177 |
+
{
|
2178 |
+
"epoch": 25.01,
|
2179 |
+
"learning_rate": 1.7921146953405018e-05,
|
2180 |
+
"loss": 0.1963,
|
2181 |
+
"step": 3120
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"epoch": 25.09,
|
2185 |
+
"learning_rate": 1.7622461170848266e-05,
|
2186 |
+
"loss": 0.2148,
|
2187 |
+
"step": 3130
|
2188 |
+
},
|
2189 |
+
{
|
2190 |
+
"epoch": 25.17,
|
2191 |
+
"learning_rate": 1.7323775388291518e-05,
|
2192 |
+
"loss": 0.1822,
|
2193 |
+
"step": 3140
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 25.25,
|
2197 |
+
"learning_rate": 1.702508960573477e-05,
|
2198 |
+
"loss": 0.1892,
|
2199 |
+
"step": 3150
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 25.33,
|
2203 |
+
"learning_rate": 1.6726403823178017e-05,
|
2204 |
+
"loss": 0.1957,
|
2205 |
+
"step": 3160
|
2206 |
+
},
|
2207 |
+
{
|
2208 |
+
"epoch": 25.41,
|
2209 |
+
"learning_rate": 1.642771804062127e-05,
|
2210 |
+
"loss": 0.1992,
|
2211 |
+
"step": 3170
|
2212 |
+
},
|
2213 |
+
{
|
2214 |
+
"epoch": 25.49,
|
2215 |
+
"learning_rate": 1.6129032258064517e-05,
|
2216 |
+
"loss": 0.2256,
|
2217 |
+
"step": 3180
|
2218 |
+
},
|
2219 |
+
{
|
2220 |
+
"epoch": 25.57,
|
2221 |
+
"learning_rate": 1.5830346475507768e-05,
|
2222 |
+
"loss": 0.2044,
|
2223 |
+
"step": 3190
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"epoch": 25.65,
|
2227 |
+
"learning_rate": 1.5531660692951016e-05,
|
2228 |
+
"loss": 0.1935,
|
2229 |
+
"step": 3200
|
2230 |
+
},
|
2231 |
+
{
|
2232 |
+
"epoch": 25.73,
|
2233 |
+
"learning_rate": 1.5232974910394265e-05,
|
2234 |
+
"loss": 0.204,
|
2235 |
+
"step": 3210
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 25.81,
|
2239 |
+
"learning_rate": 1.4934289127837516e-05,
|
2240 |
+
"loss": 0.1704,
|
2241 |
+
"step": 3220
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 25.89,
|
2245 |
+
"learning_rate": 1.4635603345280766e-05,
|
2246 |
+
"loss": 0.2058,
|
2247 |
+
"step": 3230
|
2248 |
+
},
|
2249 |
+
{
|
2250 |
+
"epoch": 25.97,
|
2251 |
+
"learning_rate": 1.4336917562724014e-05,
|
2252 |
+
"loss": 0.2297,
|
2253 |
+
"step": 3240
|
2254 |
+
},
|
2255 |
+
{
|
2256 |
+
"epoch": 26.0,
|
2257 |
+
"eval_accuracy": 0.8213077790304397,
|
2258 |
+
"eval_f1": 0.8179171868511029,
|
2259 |
+
"eval_loss": 0.7269182801246643,
|
2260 |
+
"eval_precision": 0.8171612109698507,
|
2261 |
+
"eval_recall": 0.8213077790304397,
|
2262 |
+
"eval_runtime": 13.9251,
|
2263 |
+
"eval_samples_per_second": 127.396,
|
2264 |
+
"eval_steps_per_second": 4.022,
|
2265 |
+
"step": 3243
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 26.05,
|
2269 |
+
"learning_rate": 1.4038231780167265e-05,
|
2270 |
+
"loss": 0.204,
|
2271 |
+
"step": 3250
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 26.13,
|
2275 |
+
"learning_rate": 1.3739545997610515e-05,
|
2276 |
+
"loss": 0.239,
|
2277 |
+
"step": 3260
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 26.21,
|
2281 |
+
"learning_rate": 1.3440860215053763e-05,
|
2282 |
+
"loss": 0.194,
|
2283 |
+
"step": 3270
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 26.29,
|
2287 |
+
"learning_rate": 1.3142174432497015e-05,
|
2288 |
+
"loss": 0.1982,
|
2289 |
+
"step": 3280
|
2290 |
+
},
|
2291 |
+
{
|
2292 |
+
"epoch": 26.37,
|
2293 |
+
"learning_rate": 1.2843488649940263e-05,
|
2294 |
+
"loss": 0.2319,
|
2295 |
+
"step": 3290
|
2296 |
+
},
|
2297 |
+
{
|
2298 |
+
"epoch": 26.45,
|
2299 |
+
"learning_rate": 1.2544802867383513e-05,
|
2300 |
+
"loss": 0.2058,
|
2301 |
+
"step": 3300
|
2302 |
+
},
|
2303 |
+
{
|
2304 |
+
"epoch": 26.53,
|
2305 |
+
"learning_rate": 1.2246117084826763e-05,
|
2306 |
+
"loss": 0.2072,
|
2307 |
+
"step": 3310
|
2308 |
+
},
|
2309 |
+
{
|
2310 |
+
"epoch": 26.61,
|
2311 |
+
"learning_rate": 1.1947431302270013e-05,
|
2312 |
+
"loss": 0.1955,
|
2313 |
+
"step": 3320
|
2314 |
+
},
|
2315 |
+
{
|
2316 |
+
"epoch": 26.69,
|
2317 |
+
"learning_rate": 1.1648745519713262e-05,
|
2318 |
+
"loss": 0.196,
|
2319 |
+
"step": 3330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 26.77,
|
2323 |
+
"learning_rate": 1.135005973715651e-05,
|
2324 |
+
"loss": 0.2042,
|
2325 |
+
"step": 3340
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 26.85,
|
2329 |
+
"learning_rate": 1.1051373954599762e-05,
|
2330 |
+
"loss": 0.2072,
|
2331 |
+
"step": 3350
|
2332 |
+
},
|
2333 |
+
{
|
2334 |
+
"epoch": 26.93,
|
2335 |
+
"learning_rate": 1.0752688172043012e-05,
|
2336 |
+
"loss": 0.2048,
|
2337 |
+
"step": 3360
|
2338 |
+
},
|
2339 |
+
{
|
2340 |
+
"epoch": 27.0,
|
2341 |
+
"eval_accuracy": 0.814543404735062,
|
2342 |
+
"eval_f1": 0.8142732078615984,
|
2343 |
+
"eval_loss": 0.7392024993896484,
|
2344 |
+
"eval_precision": 0.8155644054213834,
|
2345 |
+
"eval_recall": 0.814543404735062,
|
2346 |
+
"eval_runtime": 13.9919,
|
2347 |
+
"eval_samples_per_second": 126.787,
|
2348 |
+
"eval_steps_per_second": 4.002,
|
2349 |
+
"step": 3368
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"epoch": 27.01,
|
2353 |
+
"learning_rate": 1.0454002389486262e-05,
|
2354 |
+
"loss": 0.2096,
|
2355 |
+
"step": 3370
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 27.09,
|
2359 |
+
"learning_rate": 1.015531660692951e-05,
|
2360 |
+
"loss": 0.1959,
|
2361 |
+
"step": 3380
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 27.17,
|
2365 |
+
"learning_rate": 9.856630824372761e-06,
|
2366 |
+
"loss": 0.192,
|
2367 |
+
"step": 3390
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 27.25,
|
2371 |
+
"learning_rate": 9.557945041816011e-06,
|
2372 |
+
"loss": 0.2406,
|
2373 |
+
"step": 3400
|
2374 |
+
},
|
2375 |
+
{
|
2376 |
+
"epoch": 27.33,
|
2377 |
+
"learning_rate": 9.259259259259259e-06,
|
2378 |
+
"loss": 0.2225,
|
2379 |
+
"step": 3410
|
2380 |
+
},
|
2381 |
+
{
|
2382 |
+
"epoch": 27.41,
|
2383 |
+
"learning_rate": 8.960573476702509e-06,
|
2384 |
+
"loss": 0.206,
|
2385 |
+
"step": 3420
|
2386 |
+
},
|
2387 |
+
{
|
2388 |
+
"epoch": 27.49,
|
2389 |
+
"learning_rate": 8.661887694145759e-06,
|
2390 |
+
"loss": 0.1993,
|
2391 |
+
"step": 3430
|
2392 |
+
},
|
2393 |
+
{
|
2394 |
+
"epoch": 27.58,
|
2395 |
+
"learning_rate": 8.363201911589009e-06,
|
2396 |
+
"loss": 0.1926,
|
2397 |
+
"step": 3440
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 27.66,
|
2401 |
+
"learning_rate": 8.064516129032258e-06,
|
2402 |
+
"loss": 0.1757,
|
2403 |
+
"step": 3450
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 27.74,
|
2407 |
+
"learning_rate": 7.765830346475508e-06,
|
2408 |
+
"loss": 0.1913,
|
2409 |
+
"step": 3460
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 27.82,
|
2413 |
+
"learning_rate": 7.467144563918758e-06,
|
2414 |
+
"loss": 0.196,
|
2415 |
+
"step": 3470
|
2416 |
+
},
|
2417 |
+
{
|
2418 |
+
"epoch": 27.9,
|
2419 |
+
"learning_rate": 7.168458781362007e-06,
|
2420 |
+
"loss": 0.1966,
|
2421 |
+
"step": 3480
|
2422 |
+
},
|
2423 |
+
{
|
2424 |
+
"epoch": 27.98,
|
2425 |
+
"learning_rate": 6.869772998805258e-06,
|
2426 |
+
"loss": 0.2156,
|
2427 |
+
"step": 3490
|
2428 |
+
},
|
2429 |
+
{
|
2430 |
+
"epoch": 28.0,
|
2431 |
+
"eval_accuracy": 0.8207440811724915,
|
2432 |
+
"eval_f1": 0.8173955936562302,
|
2433 |
+
"eval_loss": 0.7452513575553894,
|
2434 |
+
"eval_precision": 0.818232638453996,
|
2435 |
+
"eval_recall": 0.8207440811724915,
|
2436 |
+
"eval_runtime": 13.9402,
|
2437 |
+
"eval_samples_per_second": 127.258,
|
2438 |
+
"eval_steps_per_second": 4.017,
|
2439 |
+
"step": 3493
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 28.06,
|
2443 |
+
"learning_rate": 6.5710872162485075e-06,
|
2444 |
+
"loss": 0.218,
|
2445 |
+
"step": 3500
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 28.14,
|
2449 |
+
"learning_rate": 6.2724014336917564e-06,
|
2450 |
+
"loss": 0.1878,
|
2451 |
+
"step": 3510
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 28.22,
|
2455 |
+
"learning_rate": 5.973715651135006e-06,
|
2456 |
+
"loss": 0.2132,
|
2457 |
+
"step": 3520
|
2458 |
+
},
|
2459 |
+
{
|
2460 |
+
"epoch": 28.3,
|
2461 |
+
"learning_rate": 5.675029868578255e-06,
|
2462 |
+
"loss": 0.1802,
|
2463 |
+
"step": 3530
|
2464 |
+
},
|
2465 |
+
{
|
2466 |
+
"epoch": 28.38,
|
2467 |
+
"learning_rate": 5.376344086021506e-06,
|
2468 |
+
"loss": 0.1857,
|
2469 |
+
"step": 3540
|
2470 |
+
},
|
2471 |
+
{
|
2472 |
+
"epoch": 28.46,
|
2473 |
+
"learning_rate": 5.077658303464755e-06,
|
2474 |
+
"loss": 0.189,
|
2475 |
+
"step": 3550
|
2476 |
+
},
|
2477 |
+
{
|
2478 |
+
"epoch": 28.54,
|
2479 |
+
"learning_rate": 4.7789725209080055e-06,
|
2480 |
+
"loss": 0.1699,
|
2481 |
+
"step": 3560
|
2482 |
+
},
|
2483 |
+
{
|
2484 |
+
"epoch": 28.62,
|
2485 |
+
"learning_rate": 4.4802867383512545e-06,
|
2486 |
+
"loss": 0.2193,
|
2487 |
+
"step": 3570
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 28.7,
|
2491 |
+
"learning_rate": 4.181600955794504e-06,
|
2492 |
+
"loss": 0.1855,
|
2493 |
+
"step": 3580
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 28.78,
|
2497 |
+
"learning_rate": 3.882915173237754e-06,
|
2498 |
+
"loss": 0.1957,
|
2499 |
+
"step": 3590
|
2500 |
+
},
|
2501 |
+
{
|
2502 |
+
"epoch": 28.86,
|
2503 |
+
"learning_rate": 3.5842293906810035e-06,
|
2504 |
+
"loss": 0.2059,
|
2505 |
+
"step": 3600
|
2506 |
+
},
|
2507 |
+
{
|
2508 |
+
"epoch": 28.94,
|
2509 |
+
"learning_rate": 3.2855436081242537e-06,
|
2510 |
+
"loss": 0.1785,
|
2511 |
+
"step": 3610
|
2512 |
+
},
|
2513 |
+
{
|
2514 |
+
"epoch": 28.99,
|
2515 |
+
"eval_accuracy": 0.8167981961668546,
|
2516 |
+
"eval_f1": 0.8144560702043755,
|
2517 |
+
"eval_loss": 0.749666690826416,
|
2518 |
+
"eval_precision": 0.8157480462760235,
|
2519 |
+
"eval_recall": 0.8167981961668546,
|
2520 |
+
"eval_runtime": 13.8966,
|
2521 |
+
"eval_samples_per_second": 127.657,
|
2522 |
+
"eval_steps_per_second": 4.03,
|
2523 |
+
"step": 3617
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 29.02,
|
2527 |
+
"learning_rate": 2.986857825567503e-06,
|
2528 |
+
"loss": 0.2005,
|
2529 |
+
"step": 3620
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 29.1,
|
2533 |
+
"learning_rate": 2.688172043010753e-06,
|
2534 |
+
"loss": 0.1767,
|
2535 |
+
"step": 3630
|
2536 |
+
},
|
2537 |
+
{
|
2538 |
+
"epoch": 29.18,
|
2539 |
+
"learning_rate": 2.3894862604540028e-06,
|
2540 |
+
"loss": 0.1836,
|
2541 |
+
"step": 3640
|
2542 |
+
},
|
2543 |
+
{
|
2544 |
+
"epoch": 29.26,
|
2545 |
+
"learning_rate": 2.090800477897252e-06,
|
2546 |
+
"loss": 0.1772,
|
2547 |
+
"step": 3650
|
2548 |
+
},
|
2549 |
+
{
|
2550 |
+
"epoch": 29.34,
|
2551 |
+
"learning_rate": 1.7921146953405017e-06,
|
2552 |
+
"loss": 0.1851,
|
2553 |
+
"step": 3660
|
2554 |
+
},
|
2555 |
+
{
|
2556 |
+
"epoch": 29.42,
|
2557 |
+
"learning_rate": 1.4934289127837516e-06,
|
2558 |
+
"loss": 0.1944,
|
2559 |
+
"step": 3670
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"epoch": 29.5,
|
2563 |
+
"learning_rate": 1.1947431302270014e-06,
|
2564 |
+
"loss": 0.1762,
|
2565 |
+
"step": 3680
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 29.58,
|
2569 |
+
"learning_rate": 8.960573476702509e-07,
|
2570 |
+
"loss": 0.2001,
|
2571 |
+
"step": 3690
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 29.66,
|
2575 |
+
"learning_rate": 5.973715651135007e-07,
|
2576 |
+
"loss": 0.1681,
|
2577 |
+
"step": 3700
|
2578 |
+
},
|
2579 |
+
{
|
2580 |
+
"epoch": 29.74,
|
2581 |
+
"learning_rate": 2.9868578255675034e-07,
|
2582 |
+
"loss": 0.1826,
|
2583 |
+
"step": 3710
|
2584 |
+
},
|
2585 |
+
{
|
2586 |
+
"epoch": 29.82,
|
2587 |
+
"learning_rate": 0.0,
|
2588 |
+
"loss": 0.1785,
|
2589 |
+
"step": 3720
|
2590 |
+
},
|
2591 |
+
{
|
2592 |
+
"epoch": 29.82,
|
2593 |
+
"eval_accuracy": 0.8201803833145435,
|
2594 |
+
"eval_f1": 0.8172820930459103,
|
2595 |
+
"eval_loss": 0.7429009079933167,
|
2596 |
+
"eval_precision": 0.8190214518875245,
|
2597 |
+
"eval_recall": 0.8201803833145435,
|
2598 |
+
"eval_runtime": 13.9063,
|
2599 |
+
"eval_samples_per_second": 127.568,
|
2600 |
+
"eval_steps_per_second": 4.027,
|
2601 |
+
"step": 3720
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"epoch": 29.82,
|
2605 |
+
"step": 3720,
|
2606 |
+
"total_flos": 1.3134189871289722e+20,
|
2607 |
+
"train_loss": 0.4506285851360649,
|
2608 |
+
"train_runtime": 7123.617,
|
2609 |
+
"train_samples_per_second": 67.221,
|
2610 |
+
"train_steps_per_second": 0.522
|
2611 |
+
}
|
2612 |
+
],
|
2613 |
+
"logging_steps": 10,
|
2614 |
+
"max_steps": 3720,
|
2615 |
+
"num_input_tokens_seen": 0,
|
2616 |
+
"num_train_epochs": 30,
|
2617 |
+
"save_steps": 500,
|
2618 |
+
"total_flos": 1.3134189871289722e+20,
|
2619 |
+
"train_batch_size": 32,
|
2620 |
+
"trial_name": null,
|
2621 |
+
"trial_params": null
|
2622 |
+
}
|