frostsolutions/frost-vision-v2-google_vit-base-patch16-224-v2024-11-09
Browse files- README.md +9 -9
- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Nov09_22-10-12_70708b3edc8c/events.out.tfevents.1731190844.70708b3edc8c.599.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1785 -0
README.md
CHANGED
|
@@ -26,16 +26,16 @@ model-index:
|
|
| 26 |
metrics:
|
| 27 |
- name: Accuracy
|
| 28 |
type: accuracy
|
| 29 |
-
value: 0.
|
| 30 |
- name: F1
|
| 31 |
type: f1
|
| 32 |
-
value: 0.
|
| 33 |
- name: Precision
|
| 34 |
type: precision
|
| 35 |
-
value: 0.
|
| 36 |
- name: Recall
|
| 37 |
type: recall
|
| 38 |
-
value: 0.
|
| 39 |
---
|
| 40 |
|
| 41 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -45,11 +45,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 45 |
|
| 46 |
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the webdataset dataset.
|
| 47 |
It achieves the following results on the evaluation set:
|
| 48 |
-
- Loss: 0.
|
| 49 |
-
- Accuracy: 0.
|
| 50 |
-
- F1: 0.
|
| 51 |
-
- Precision: 0.
|
| 52 |
-
- Recall: 0.
|
| 53 |
|
| 54 |
## Model description
|
| 55 |
|
|
|
|
| 26 |
metrics:
|
| 27 |
- name: Accuracy
|
| 28 |
type: accuracy
|
| 29 |
+
value: 0.9316901408450704
|
| 30 |
- name: F1
|
| 31 |
type: f1
|
| 32 |
+
value: 0.8267857142857142
|
| 33 |
- name: Precision
|
| 34 |
type: precision
|
| 35 |
+
value: 0.8312387791741472
|
| 36 |
- name: Recall
|
| 37 |
type: recall
|
| 38 |
+
value: 0.822380106571936
|
| 39 |
---
|
| 40 |
|
| 41 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 45 |
|
| 46 |
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the webdataset dataset.
|
| 47 |
It achieves the following results on the evaluation set:
|
| 48 |
+
- Loss: 0.1769
|
| 49 |
+
- Accuracy: 0.9317
|
| 50 |
+
- F1: 0.8268
|
| 51 |
+
- Precision: 0.8312
|
| 52 |
+
- Recall: 0.8224
|
| 53 |
|
| 54 |
## Model description
|
| 55 |
|
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_accuracy": 0.9316901408450704,
|
| 4 |
+
"eval_f1": 0.8267857142857142,
|
| 5 |
+
"eval_loss": 0.17685964703559875,
|
| 6 |
+
"eval_precision": 0.8312387791741472,
|
| 7 |
+
"eval_recall": 0.822380106571936,
|
| 8 |
+
"eval_runtime": 2.5564,
|
| 9 |
+
"eval_samples_per_second": 111.094,
|
| 10 |
+
"eval_steps_per_second": 14.082,
|
| 11 |
+
"total_flos": 2.6364665116584346e+18,
|
| 12 |
+
"train_loss": 0.08667128345636135,
|
| 13 |
+
"train_runtime": 602.5463,
|
| 14 |
+
"train_samples_per_second": 56.46,
|
| 15 |
+
"train_steps_per_second": 3.535
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_accuracy": 0.9316901408450704,
|
| 4 |
+
"eval_f1": 0.8267857142857142,
|
| 5 |
+
"eval_loss": 0.17685964703559875,
|
| 6 |
+
"eval_precision": 0.8312387791741472,
|
| 7 |
+
"eval_recall": 0.822380106571936,
|
| 8 |
+
"eval_runtime": 2.5564,
|
| 9 |
+
"eval_samples_per_second": 111.094,
|
| 10 |
+
"eval_steps_per_second": 14.082
|
| 11 |
+
}
|
runs/Nov09_22-10-12_70708b3edc8c/events.out.tfevents.1731190844.70708b3edc8c.599.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5546ead52d0b59fbdeab9f511af47a71acead2bfb46446e5fdd166ffb3d7a160
|
| 3 |
+
size 560
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"total_flos": 2.6364665116584346e+18,
|
| 4 |
+
"train_loss": 0.08667128345636135,
|
| 5 |
+
"train_runtime": 602.5463,
|
| 6 |
+
"train_samples_per_second": 56.46,
|
| 7 |
+
"train_steps_per_second": 3.535
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1785 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.17685964703559875,
|
| 3 |
+
"best_model_checkpoint": "frost-vision-v2-google_vit-base-patch16-224-v2024-11-09/checkpoint-500",
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 2130,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.14084507042253522,
|
| 13 |
+
"grad_norm": 2.3482229709625244,
|
| 14 |
+
"learning_rate": 9.389671361502347e-06,
|
| 15 |
+
"loss": 0.7612,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.28169014084507044,
|
| 20 |
+
"grad_norm": 1.601408839225769,
|
| 21 |
+
"learning_rate": 1.8779342723004694e-05,
|
| 22 |
+
"loss": 0.6382,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.4225352112676056,
|
| 27 |
+
"grad_norm": 1.162585735321045,
|
| 28 |
+
"learning_rate": 2.8169014084507046e-05,
|
| 29 |
+
"loss": 0.4766,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.5633802816901409,
|
| 34 |
+
"grad_norm": 0.8410656452178955,
|
| 35 |
+
"learning_rate": 3.755868544600939e-05,
|
| 36 |
+
"loss": 0.4136,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.704225352112676,
|
| 41 |
+
"grad_norm": 0.8442389965057373,
|
| 42 |
+
"learning_rate": 4.694835680751174e-05,
|
| 43 |
+
"loss": 0.3483,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.8450704225352113,
|
| 48 |
+
"grad_norm": 0.8858609795570374,
|
| 49 |
+
"learning_rate": 5.633802816901409e-05,
|
| 50 |
+
"loss": 0.312,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.9859154929577465,
|
| 55 |
+
"grad_norm": 0.911562442779541,
|
| 56 |
+
"learning_rate": 6.572769953051644e-05,
|
| 57 |
+
"loss": 0.2769,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.1267605633802817,
|
| 62 |
+
"grad_norm": 1.1327377557754517,
|
| 63 |
+
"learning_rate": 7.511737089201878e-05,
|
| 64 |
+
"loss": 0.2412,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 1.267605633802817,
|
| 69 |
+
"grad_norm": 0.9264270663261414,
|
| 70 |
+
"learning_rate": 8.450704225352113e-05,
|
| 71 |
+
"loss": 0.2406,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 1.408450704225352,
|
| 76 |
+
"grad_norm": 0.6789488792419434,
|
| 77 |
+
"learning_rate": 9.389671361502347e-05,
|
| 78 |
+
"loss": 0.2067,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 1.408450704225352,
|
| 83 |
+
"eval_accuracy": 0.9154929577464789,
|
| 84 |
+
"eval_f1": 0.7735849056603774,
|
| 85 |
+
"eval_loss": 0.2228715419769287,
|
| 86 |
+
"eval_precision": 0.8249496981891348,
|
| 87 |
+
"eval_recall": 0.7282415630550622,
|
| 88 |
+
"eval_runtime": 2.1991,
|
| 89 |
+
"eval_samples_per_second": 129.141,
|
| 90 |
+
"eval_steps_per_second": 16.37,
|
| 91 |
+
"step": 100
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 1.5492957746478875,
|
| 95 |
+
"grad_norm": 0.8904222846031189,
|
| 96 |
+
"learning_rate": 0.00010328638497652582,
|
| 97 |
+
"loss": 0.2286,
|
| 98 |
+
"step": 110
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 1.6901408450704225,
|
| 102 |
+
"grad_norm": 0.6201413869857788,
|
| 103 |
+
"learning_rate": 0.00011267605633802819,
|
| 104 |
+
"loss": 0.2127,
|
| 105 |
+
"step": 120
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 1.8309859154929577,
|
| 109 |
+
"grad_norm": 1.2106386423110962,
|
| 110 |
+
"learning_rate": 0.00012206572769953053,
|
| 111 |
+
"loss": 0.2518,
|
| 112 |
+
"step": 130
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 1.971830985915493,
|
| 116 |
+
"grad_norm": 0.9419664144515991,
|
| 117 |
+
"learning_rate": 0.00013145539906103288,
|
| 118 |
+
"loss": 0.2157,
|
| 119 |
+
"step": 140
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 2.112676056338028,
|
| 123 |
+
"grad_norm": 0.7283549308776855,
|
| 124 |
+
"learning_rate": 0.00014084507042253522,
|
| 125 |
+
"loss": 0.2119,
|
| 126 |
+
"step": 150
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 2.2535211267605635,
|
| 130 |
+
"grad_norm": 0.7335492372512817,
|
| 131 |
+
"learning_rate": 0.00015023474178403755,
|
| 132 |
+
"loss": 0.1762,
|
| 133 |
+
"step": 160
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 2.3943661971830985,
|
| 137 |
+
"grad_norm": 1.075255036354065,
|
| 138 |
+
"learning_rate": 0.00015962441314553992,
|
| 139 |
+
"loss": 0.1844,
|
| 140 |
+
"step": 170
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 2.535211267605634,
|
| 144 |
+
"grad_norm": 0.7910892367362976,
|
| 145 |
+
"learning_rate": 0.00016901408450704225,
|
| 146 |
+
"loss": 0.1904,
|
| 147 |
+
"step": 180
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 2.676056338028169,
|
| 151 |
+
"grad_norm": 0.9743360280990601,
|
| 152 |
+
"learning_rate": 0.00017840375586854461,
|
| 153 |
+
"loss": 0.1968,
|
| 154 |
+
"step": 190
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 2.816901408450704,
|
| 158 |
+
"grad_norm": 0.6024548411369324,
|
| 159 |
+
"learning_rate": 0.00018779342723004695,
|
| 160 |
+
"loss": 0.1989,
|
| 161 |
+
"step": 200
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 2.816901408450704,
|
| 165 |
+
"eval_accuracy": 0.9102112676056338,
|
| 166 |
+
"eval_f1": 0.7649769585253456,
|
| 167 |
+
"eval_loss": 0.2252175509929657,
|
| 168 |
+
"eval_precision": 0.7950191570881227,
|
| 169 |
+
"eval_recall": 0.7371225577264654,
|
| 170 |
+
"eval_runtime": 3.0527,
|
| 171 |
+
"eval_samples_per_second": 93.033,
|
| 172 |
+
"eval_steps_per_second": 11.793,
|
| 173 |
+
"step": 200
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 2.9577464788732395,
|
| 177 |
+
"grad_norm": 0.7431610226631165,
|
| 178 |
+
"learning_rate": 0.0001971830985915493,
|
| 179 |
+
"loss": 0.1922,
|
| 180 |
+
"step": 210
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 3.0985915492957745,
|
| 184 |
+
"grad_norm": 0.8809910416603088,
|
| 185 |
+
"learning_rate": 0.00019926969222743872,
|
| 186 |
+
"loss": 0.2013,
|
| 187 |
+
"step": 220
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 3.23943661971831,
|
| 191 |
+
"grad_norm": 0.7516496181488037,
|
| 192 |
+
"learning_rate": 0.00019822639540949402,
|
| 193 |
+
"loss": 0.175,
|
| 194 |
+
"step": 230
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 3.380281690140845,
|
| 198 |
+
"grad_norm": 1.8546067476272583,
|
| 199 |
+
"learning_rate": 0.0001971830985915493,
|
| 200 |
+
"loss": 0.1817,
|
| 201 |
+
"step": 240
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 3.52112676056338,
|
| 205 |
+
"grad_norm": 0.7087880969047546,
|
| 206 |
+
"learning_rate": 0.0001961398017736046,
|
| 207 |
+
"loss": 0.1663,
|
| 208 |
+
"step": 250
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 3.6619718309859155,
|
| 212 |
+
"grad_norm": 0.890684962272644,
|
| 213 |
+
"learning_rate": 0.0001950965049556599,
|
| 214 |
+
"loss": 0.1782,
|
| 215 |
+
"step": 260
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 3.802816901408451,
|
| 219 |
+
"grad_norm": 1.163325548171997,
|
| 220 |
+
"learning_rate": 0.0001940532081377152,
|
| 221 |
+
"loss": 0.1868,
|
| 222 |
+
"step": 270
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 3.943661971830986,
|
| 226 |
+
"grad_norm": 0.7395078539848328,
|
| 227 |
+
"learning_rate": 0.0001930099113197705,
|
| 228 |
+
"loss": 0.176,
|
| 229 |
+
"step": 280
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 4.084507042253521,
|
| 233 |
+
"grad_norm": 1.1575692892074585,
|
| 234 |
+
"learning_rate": 0.0001919666145018258,
|
| 235 |
+
"loss": 0.1603,
|
| 236 |
+
"step": 290
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 4.225352112676056,
|
| 240 |
+
"grad_norm": 0.7146375179290771,
|
| 241 |
+
"learning_rate": 0.0001909233176838811,
|
| 242 |
+
"loss": 0.1364,
|
| 243 |
+
"step": 300
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 4.225352112676056,
|
| 247 |
+
"eval_accuracy": 0.9267605633802817,
|
| 248 |
+
"eval_f1": 0.8162544169611308,
|
| 249 |
+
"eval_loss": 0.18342211842536926,
|
| 250 |
+
"eval_precision": 0.81195079086116,
|
| 251 |
+
"eval_recall": 0.8206039076376554,
|
| 252 |
+
"eval_runtime": 2.1207,
|
| 253 |
+
"eval_samples_per_second": 133.919,
|
| 254 |
+
"eval_steps_per_second": 16.976,
|
| 255 |
+
"step": 300
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 4.366197183098592,
|
| 259 |
+
"grad_norm": 1.2778205871582031,
|
| 260 |
+
"learning_rate": 0.00018988002086593636,
|
| 261 |
+
"loss": 0.1571,
|
| 262 |
+
"step": 310
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 4.507042253521127,
|
| 266 |
+
"grad_norm": 1.1578363180160522,
|
| 267 |
+
"learning_rate": 0.00018883672404799165,
|
| 268 |
+
"loss": 0.1552,
|
| 269 |
+
"step": 320
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 4.647887323943662,
|
| 273 |
+
"grad_norm": 1.1817420721054077,
|
| 274 |
+
"learning_rate": 0.00018779342723004695,
|
| 275 |
+
"loss": 0.1755,
|
| 276 |
+
"step": 330
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 4.788732394366197,
|
| 280 |
+
"grad_norm": 1.138913869857788,
|
| 281 |
+
"learning_rate": 0.00018675013041210225,
|
| 282 |
+
"loss": 0.1485,
|
| 283 |
+
"step": 340
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 4.929577464788732,
|
| 287 |
+
"grad_norm": 1.0575881004333496,
|
| 288 |
+
"learning_rate": 0.00018570683359415754,
|
| 289 |
+
"loss": 0.1777,
|
| 290 |
+
"step": 350
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 5.070422535211268,
|
| 294 |
+
"grad_norm": 0.7797971367835999,
|
| 295 |
+
"learning_rate": 0.00018466353677621284,
|
| 296 |
+
"loss": 0.1672,
|
| 297 |
+
"step": 360
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 5.211267605633803,
|
| 301 |
+
"grad_norm": 0.8628588914871216,
|
| 302 |
+
"learning_rate": 0.00018362023995826813,
|
| 303 |
+
"loss": 0.1398,
|
| 304 |
+
"step": 370
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 5.352112676056338,
|
| 308 |
+
"grad_norm": 0.7360591888427734,
|
| 309 |
+
"learning_rate": 0.00018257694314032343,
|
| 310 |
+
"loss": 0.1481,
|
| 311 |
+
"step": 380
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 5.492957746478873,
|
| 315 |
+
"grad_norm": 1.0168707370758057,
|
| 316 |
+
"learning_rate": 0.00018153364632237873,
|
| 317 |
+
"loss": 0.1362,
|
| 318 |
+
"step": 390
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 5.633802816901408,
|
| 322 |
+
"grad_norm": 0.850728452205658,
|
| 323 |
+
"learning_rate": 0.00018049034950443402,
|
| 324 |
+
"loss": 0.1368,
|
| 325 |
+
"step": 400
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 5.633802816901408,
|
| 329 |
+
"eval_accuracy": 0.9267605633802817,
|
| 330 |
+
"eval_f1": 0.7980582524271844,
|
| 331 |
+
"eval_loss": 0.18743538856506348,
|
| 332 |
+
"eval_precision": 0.880085653104925,
|
| 333 |
+
"eval_recall": 0.7300177619893428,
|
| 334 |
+
"eval_runtime": 2.1497,
|
| 335 |
+
"eval_samples_per_second": 132.11,
|
| 336 |
+
"eval_steps_per_second": 16.746,
|
| 337 |
+
"step": 400
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 5.774647887323944,
|
| 341 |
+
"grad_norm": 0.4130128026008606,
|
| 342 |
+
"learning_rate": 0.00017944705268648932,
|
| 343 |
+
"loss": 0.1455,
|
| 344 |
+
"step": 410
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 5.915492957746479,
|
| 348 |
+
"grad_norm": 0.896547794342041,
|
| 349 |
+
"learning_rate": 0.00017840375586854461,
|
| 350 |
+
"loss": 0.135,
|
| 351 |
+
"step": 420
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 6.056338028169014,
|
| 355 |
+
"grad_norm": 0.6682694554328918,
|
| 356 |
+
"learning_rate": 0.0001773604590505999,
|
| 357 |
+
"loss": 0.1199,
|
| 358 |
+
"step": 430
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 6.197183098591549,
|
| 362 |
+
"grad_norm": 0.6317305564880371,
|
| 363 |
+
"learning_rate": 0.0001763171622326552,
|
| 364 |
+
"loss": 0.1043,
|
| 365 |
+
"step": 440
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 6.338028169014084,
|
| 369 |
+
"grad_norm": 1.0829790830612183,
|
| 370 |
+
"learning_rate": 0.0001752738654147105,
|
| 371 |
+
"loss": 0.1347,
|
| 372 |
+
"step": 450
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 6.47887323943662,
|
| 376 |
+
"grad_norm": 1.4727702140808105,
|
| 377 |
+
"learning_rate": 0.0001742305685967658,
|
| 378 |
+
"loss": 0.1244,
|
| 379 |
+
"step": 460
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 6.619718309859155,
|
| 383 |
+
"grad_norm": 1.014894962310791,
|
| 384 |
+
"learning_rate": 0.00017318727177882107,
|
| 385 |
+
"loss": 0.1377,
|
| 386 |
+
"step": 470
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 6.76056338028169,
|
| 390 |
+
"grad_norm": 0.9650211334228516,
|
| 391 |
+
"learning_rate": 0.00017214397496087636,
|
| 392 |
+
"loss": 0.1443,
|
| 393 |
+
"step": 480
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 6.901408450704225,
|
| 397 |
+
"grad_norm": 0.796774685382843,
|
| 398 |
+
"learning_rate": 0.00017110067814293166,
|
| 399 |
+
"loss": 0.1165,
|
| 400 |
+
"step": 490
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 7.042253521126761,
|
| 404 |
+
"grad_norm": 0.5631269216537476,
|
| 405 |
+
"learning_rate": 0.00017005738132498696,
|
| 406 |
+
"loss": 0.1197,
|
| 407 |
+
"step": 500
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 7.042253521126761,
|
| 411 |
+
"eval_accuracy": 0.9316901408450704,
|
| 412 |
+
"eval_f1": 0.8267857142857142,
|
| 413 |
+
"eval_loss": 0.17685964703559875,
|
| 414 |
+
"eval_precision": 0.8312387791741472,
|
| 415 |
+
"eval_recall": 0.822380106571936,
|
| 416 |
+
"eval_runtime": 2.1178,
|
| 417 |
+
"eval_samples_per_second": 134.103,
|
| 418 |
+
"eval_steps_per_second": 16.999,
|
| 419 |
+
"step": 500
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 7.183098591549296,
|
| 423 |
+
"grad_norm": 0.40783101320266724,
|
| 424 |
+
"learning_rate": 0.00016901408450704225,
|
| 425 |
+
"loss": 0.0913,
|
| 426 |
+
"step": 510
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 7.323943661971831,
|
| 430 |
+
"grad_norm": 0.536299467086792,
|
| 431 |
+
"learning_rate": 0.00016797078768909755,
|
| 432 |
+
"loss": 0.0983,
|
| 433 |
+
"step": 520
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 7.464788732394366,
|
| 437 |
+
"grad_norm": 0.587491512298584,
|
| 438 |
+
"learning_rate": 0.00016692749087115284,
|
| 439 |
+
"loss": 0.116,
|
| 440 |
+
"step": 530
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 7.605633802816901,
|
| 444 |
+
"grad_norm": 0.5410102009773254,
|
| 445 |
+
"learning_rate": 0.00016588419405320814,
|
| 446 |
+
"loss": 0.1075,
|
| 447 |
+
"step": 540
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 7.746478873239437,
|
| 451 |
+
"grad_norm": 0.5919251441955566,
|
| 452 |
+
"learning_rate": 0.00016484089723526344,
|
| 453 |
+
"loss": 0.1132,
|
| 454 |
+
"step": 550
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 7.887323943661972,
|
| 458 |
+
"grad_norm": 0.632838785648346,
|
| 459 |
+
"learning_rate": 0.00016379760041731873,
|
| 460 |
+
"loss": 0.0963,
|
| 461 |
+
"step": 560
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 8.028169014084508,
|
| 465 |
+
"grad_norm": 0.3347577750682831,
|
| 466 |
+
"learning_rate": 0.00016275430359937403,
|
| 467 |
+
"loss": 0.0852,
|
| 468 |
+
"step": 570
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 8.169014084507042,
|
| 472 |
+
"grad_norm": 0.4444897472858429,
|
| 473 |
+
"learning_rate": 0.00016171100678142932,
|
| 474 |
+
"loss": 0.0998,
|
| 475 |
+
"step": 580
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 8.309859154929578,
|
| 479 |
+
"grad_norm": 0.8959450125694275,
|
| 480 |
+
"learning_rate": 0.00016066770996348462,
|
| 481 |
+
"loss": 0.0983,
|
| 482 |
+
"step": 590
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 8.450704225352112,
|
| 486 |
+
"grad_norm": 0.8289921283721924,
|
| 487 |
+
"learning_rate": 0.00015962441314553992,
|
| 488 |
+
"loss": 0.099,
|
| 489 |
+
"step": 600
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 8.450704225352112,
|
| 493 |
+
"eval_accuracy": 0.9313380281690141,
|
| 494 |
+
"eval_f1": 0.8189415041782729,
|
| 495 |
+
"eval_loss": 0.18414147198200226,
|
| 496 |
+
"eval_precision": 0.857976653696498,
|
| 497 |
+
"eval_recall": 0.783303730017762,
|
| 498 |
+
"eval_runtime": 2.7312,
|
| 499 |
+
"eval_samples_per_second": 103.983,
|
| 500 |
+
"eval_steps_per_second": 13.181,
|
| 501 |
+
"step": 600
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 8.591549295774648,
|
| 505 |
+
"grad_norm": 0.8808104395866394,
|
| 506 |
+
"learning_rate": 0.0001585811163275952,
|
| 507 |
+
"loss": 0.1169,
|
| 508 |
+
"step": 610
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 8.732394366197184,
|
| 512 |
+
"grad_norm": 0.23073981702327728,
|
| 513 |
+
"learning_rate": 0.0001575378195096505,
|
| 514 |
+
"loss": 0.0751,
|
| 515 |
+
"step": 620
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 8.873239436619718,
|
| 519 |
+
"grad_norm": 0.6636078953742981,
|
| 520 |
+
"learning_rate": 0.0001564945226917058,
|
| 521 |
+
"loss": 0.0955,
|
| 522 |
+
"step": 630
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 9.014084507042254,
|
| 526 |
+
"grad_norm": 0.6324308514595032,
|
| 527 |
+
"learning_rate": 0.00015545122587376107,
|
| 528 |
+
"loss": 0.1028,
|
| 529 |
+
"step": 640
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 9.154929577464788,
|
| 533 |
+
"grad_norm": 0.6154828667640686,
|
| 534 |
+
"learning_rate": 0.00015440792905581637,
|
| 535 |
+
"loss": 0.084,
|
| 536 |
+
"step": 650
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 9.295774647887324,
|
| 540 |
+
"grad_norm": 0.5773690342903137,
|
| 541 |
+
"learning_rate": 0.00015336463223787167,
|
| 542 |
+
"loss": 0.0929,
|
| 543 |
+
"step": 660
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 9.43661971830986,
|
| 547 |
+
"grad_norm": 0.3276579976081848,
|
| 548 |
+
"learning_rate": 0.00015232133541992696,
|
| 549 |
+
"loss": 0.081,
|
| 550 |
+
"step": 670
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 9.577464788732394,
|
| 554 |
+
"grad_norm": 0.6751773357391357,
|
| 555 |
+
"learning_rate": 0.00015127803860198226,
|
| 556 |
+
"loss": 0.0798,
|
| 557 |
+
"step": 680
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 9.71830985915493,
|
| 561 |
+
"grad_norm": 0.41989338397979736,
|
| 562 |
+
"learning_rate": 0.00015023474178403755,
|
| 563 |
+
"loss": 0.0862,
|
| 564 |
+
"step": 690
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 9.859154929577464,
|
| 568 |
+
"grad_norm": 1.3621422052383423,
|
| 569 |
+
"learning_rate": 0.00014919144496609285,
|
| 570 |
+
"loss": 0.0748,
|
| 571 |
+
"step": 700
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 9.859154929577464,
|
| 575 |
+
"eval_accuracy": 0.9359154929577465,
|
| 576 |
+
"eval_f1": 0.8366247755834829,
|
| 577 |
+
"eval_loss": 0.17389163374900818,
|
| 578 |
+
"eval_precision": 0.8457350272232305,
|
| 579 |
+
"eval_recall": 0.827708703374778,
|
| 580 |
+
"eval_runtime": 2.2415,
|
| 581 |
+
"eval_samples_per_second": 126.7,
|
| 582 |
+
"eval_steps_per_second": 16.061,
|
| 583 |
+
"step": 700
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 10.0,
|
| 587 |
+
"grad_norm": 0.49502134323120117,
|
| 588 |
+
"learning_rate": 0.00014814814814814815,
|
| 589 |
+
"loss": 0.0718,
|
| 590 |
+
"step": 710
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 10.140845070422536,
|
| 594 |
+
"grad_norm": 1.2556084394454956,
|
| 595 |
+
"learning_rate": 0.00014710485133020344,
|
| 596 |
+
"loss": 0.0715,
|
| 597 |
+
"step": 720
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 10.28169014084507,
|
| 601 |
+
"grad_norm": 0.5221930742263794,
|
| 602 |
+
"learning_rate": 0.00014606155451225874,
|
| 603 |
+
"loss": 0.0863,
|
| 604 |
+
"step": 730
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 10.422535211267606,
|
| 608 |
+
"grad_norm": 0.9766262173652649,
|
| 609 |
+
"learning_rate": 0.00014501825769431403,
|
| 610 |
+
"loss": 0.0791,
|
| 611 |
+
"step": 740
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 10.56338028169014,
|
| 615 |
+
"grad_norm": 0.447653204202652,
|
| 616 |
+
"learning_rate": 0.00014397496087636933,
|
| 617 |
+
"loss": 0.068,
|
| 618 |
+
"step": 750
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 10.704225352112676,
|
| 622 |
+
"grad_norm": 0.7212210893630981,
|
| 623 |
+
"learning_rate": 0.00014293166405842463,
|
| 624 |
+
"loss": 0.0755,
|
| 625 |
+
"step": 760
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 10.845070422535212,
|
| 629 |
+
"grad_norm": 0.4740016460418701,
|
| 630 |
+
"learning_rate": 0.00014188836724047992,
|
| 631 |
+
"loss": 0.082,
|
| 632 |
+
"step": 770
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 10.985915492957746,
|
| 636 |
+
"grad_norm": 0.8718104362487793,
|
| 637 |
+
"learning_rate": 0.00014084507042253522,
|
| 638 |
+
"loss": 0.0845,
|
| 639 |
+
"step": 780
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 11.126760563380282,
|
| 643 |
+
"grad_norm": 0.6141758561134338,
|
| 644 |
+
"learning_rate": 0.00013980177360459051,
|
| 645 |
+
"loss": 0.0637,
|
| 646 |
+
"step": 790
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 11.267605633802816,
|
| 650 |
+
"grad_norm": 1.284001350402832,
|
| 651 |
+
"learning_rate": 0.00013875847678664578,
|
| 652 |
+
"loss": 0.0706,
|
| 653 |
+
"step": 800
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 11.267605633802816,
|
| 657 |
+
"eval_accuracy": 0.9373239436619718,
|
| 658 |
+
"eval_f1": 0.8399280575539568,
|
| 659 |
+
"eval_loss": 0.17618876695632935,
|
| 660 |
+
"eval_precision": 0.8506375227686703,
|
| 661 |
+
"eval_recall": 0.8294849023090586,
|
| 662 |
+
"eval_runtime": 2.1627,
|
| 663 |
+
"eval_samples_per_second": 131.319,
|
| 664 |
+
"eval_steps_per_second": 16.646,
|
| 665 |
+
"step": 800
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 11.408450704225352,
|
| 669 |
+
"grad_norm": 0.4294152855873108,
|
| 670 |
+
"learning_rate": 0.00013771517996870108,
|
| 671 |
+
"loss": 0.0707,
|
| 672 |
+
"step": 810
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 11.549295774647888,
|
| 676 |
+
"grad_norm": 0.28866302967071533,
|
| 677 |
+
"learning_rate": 0.00013667188315075638,
|
| 678 |
+
"loss": 0.057,
|
| 679 |
+
"step": 820
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 11.690140845070422,
|
| 683 |
+
"grad_norm": 0.7050051689147949,
|
| 684 |
+
"learning_rate": 0.0001356285863328117,
|
| 685 |
+
"loss": 0.0771,
|
| 686 |
+
"step": 830
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 11.830985915492958,
|
| 690 |
+
"grad_norm": 0.3648245632648468,
|
| 691 |
+
"learning_rate": 0.000134585289514867,
|
| 692 |
+
"loss": 0.0578,
|
| 693 |
+
"step": 840
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 11.971830985915492,
|
| 697 |
+
"grad_norm": 0.9216500520706177,
|
| 698 |
+
"learning_rate": 0.0001335419926969223,
|
| 699 |
+
"loss": 0.0724,
|
| 700 |
+
"step": 850
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 12.112676056338028,
|
| 704 |
+
"grad_norm": 0.3451094925403595,
|
| 705 |
+
"learning_rate": 0.0001324986958789776,
|
| 706 |
+
"loss": 0.0756,
|
| 707 |
+
"step": 860
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 12.253521126760564,
|
| 711 |
+
"grad_norm": 0.45862048864364624,
|
| 712 |
+
"learning_rate": 0.00013145539906103288,
|
| 713 |
+
"loss": 0.057,
|
| 714 |
+
"step": 870
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 12.394366197183098,
|
| 718 |
+
"grad_norm": 0.562519371509552,
|
| 719 |
+
"learning_rate": 0.00013041210224308818,
|
| 720 |
+
"loss": 0.0761,
|
| 721 |
+
"step": 880
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 12.535211267605634,
|
| 725 |
+
"grad_norm": 0.3094978928565979,
|
| 726 |
+
"learning_rate": 0.00012936880542514348,
|
| 727 |
+
"loss": 0.0614,
|
| 728 |
+
"step": 890
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 12.676056338028168,
|
| 732 |
+
"grad_norm": 0.9596508145332336,
|
| 733 |
+
"learning_rate": 0.00012832550860719877,
|
| 734 |
+
"loss": 0.0865,
|
| 735 |
+
"step": 900
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 12.676056338028168,
|
| 739 |
+
"eval_accuracy": 0.9408450704225352,
|
| 740 |
+
"eval_f1": 0.8486486486486486,
|
| 741 |
+
"eval_loss": 0.17658686637878418,
|
| 742 |
+
"eval_precision": 0.8610603290676416,
|
| 743 |
+
"eval_recall": 0.8365896980461812,
|
| 744 |
+
"eval_runtime": 2.0967,
|
| 745 |
+
"eval_samples_per_second": 135.451,
|
| 746 |
+
"eval_steps_per_second": 17.17,
|
| 747 |
+
"step": 900
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 12.816901408450704,
|
| 751 |
+
"grad_norm": 0.4770239293575287,
|
| 752 |
+
"learning_rate": 0.00012728221178925407,
|
| 753 |
+
"loss": 0.0657,
|
| 754 |
+
"step": 910
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 12.95774647887324,
|
| 758 |
+
"grad_norm": 0.4350703954696655,
|
| 759 |
+
"learning_rate": 0.00012623891497130936,
|
| 760 |
+
"loss": 0.0628,
|
| 761 |
+
"step": 920
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 13.098591549295774,
|
| 765 |
+
"grad_norm": 0.4072926342487335,
|
| 766 |
+
"learning_rate": 0.00012519561815336466,
|
| 767 |
+
"loss": 0.05,
|
| 768 |
+
"step": 930
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 13.23943661971831,
|
| 772 |
+
"grad_norm": 1.0825406312942505,
|
| 773 |
+
"learning_rate": 0.00012415232133541993,
|
| 774 |
+
"loss": 0.0659,
|
| 775 |
+
"step": 940
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 13.380281690140846,
|
| 779 |
+
"grad_norm": 1.0538973808288574,
|
| 780 |
+
"learning_rate": 0.00012310902451747523,
|
| 781 |
+
"loss": 0.0512,
|
| 782 |
+
"step": 950
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 13.52112676056338,
|
| 786 |
+
"grad_norm": 0.6860778331756592,
|
| 787 |
+
"learning_rate": 0.00012206572769953053,
|
| 788 |
+
"loss": 0.0548,
|
| 789 |
+
"step": 960
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 13.661971830985916,
|
| 793 |
+
"grad_norm": 0.8300151228904724,
|
| 794 |
+
"learning_rate": 0.00012102243088158583,
|
| 795 |
+
"loss": 0.0725,
|
| 796 |
+
"step": 970
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 13.80281690140845,
|
| 800 |
+
"grad_norm": 0.38458070158958435,
|
| 801 |
+
"learning_rate": 0.00011997913406364111,
|
| 802 |
+
"loss": 0.0655,
|
| 803 |
+
"step": 980
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 13.943661971830986,
|
| 807 |
+
"grad_norm": 0.745091438293457,
|
| 808 |
+
"learning_rate": 0.00011893583724569641,
|
| 809 |
+
"loss": 0.0636,
|
| 810 |
+
"step": 990
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 14.084507042253522,
|
| 814 |
+
"grad_norm": 0.8269743919372559,
|
| 815 |
+
"learning_rate": 0.0001178925404277517,
|
| 816 |
+
"loss": 0.061,
|
| 817 |
+
"step": 1000
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 14.084507042253522,
|
| 821 |
+
"eval_accuracy": 0.9380281690140845,
|
| 822 |
+
"eval_f1": 0.8445229681978799,
|
| 823 |
+
"eval_loss": 0.18520130217075348,
|
| 824 |
+
"eval_precision": 0.8400702987697716,
|
| 825 |
+
"eval_recall": 0.8490230905861457,
|
| 826 |
+
"eval_runtime": 3.0489,
|
| 827 |
+
"eval_samples_per_second": 93.147,
|
| 828 |
+
"eval_steps_per_second": 11.807,
|
| 829 |
+
"step": 1000
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 14.225352112676056,
|
| 833 |
+
"grad_norm": 0.2855857312679291,
|
| 834 |
+
"learning_rate": 0.000116849243609807,
|
| 835 |
+
"loss": 0.0564,
|
| 836 |
+
"step": 1010
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 14.366197183098592,
|
| 840 |
+
"grad_norm": 0.4285324811935425,
|
| 841 |
+
"learning_rate": 0.0001158059467918623,
|
| 842 |
+
"loss": 0.0682,
|
| 843 |
+
"step": 1020
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 14.507042253521126,
|
| 847 |
+
"grad_norm": 0.45068418979644775,
|
| 848 |
+
"learning_rate": 0.0001147626499739176,
|
| 849 |
+
"loss": 0.0619,
|
| 850 |
+
"step": 1030
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 14.647887323943662,
|
| 854 |
+
"grad_norm": 0.4685414433479309,
|
| 855 |
+
"learning_rate": 0.00011371935315597289,
|
| 856 |
+
"loss": 0.0556,
|
| 857 |
+
"step": 1040
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 14.788732394366198,
|
| 861 |
+
"grad_norm": 0.2533360719680786,
|
| 862 |
+
"learning_rate": 0.00011267605633802819,
|
| 863 |
+
"loss": 0.0513,
|
| 864 |
+
"step": 1050
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 14.929577464788732,
|
| 868 |
+
"grad_norm": 0.45339080691337585,
|
| 869 |
+
"learning_rate": 0.00011163275952008347,
|
| 870 |
+
"loss": 0.0507,
|
| 871 |
+
"step": 1060
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 15.070422535211268,
|
| 875 |
+
"grad_norm": 0.4735059142112732,
|
| 876 |
+
"learning_rate": 0.00011058946270213876,
|
| 877 |
+
"loss": 0.0642,
|
| 878 |
+
"step": 1070
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 15.211267605633802,
|
| 882 |
+
"grad_norm": 0.2932089567184448,
|
| 883 |
+
"learning_rate": 0.00010954616588419406,
|
| 884 |
+
"loss": 0.0412,
|
| 885 |
+
"step": 1080
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 15.352112676056338,
|
| 889 |
+
"grad_norm": 0.262364000082016,
|
| 890 |
+
"learning_rate": 0.00010850286906624936,
|
| 891 |
+
"loss": 0.0561,
|
| 892 |
+
"step": 1090
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 15.492957746478874,
|
| 896 |
+
"grad_norm": 0.4154641032218933,
|
| 897 |
+
"learning_rate": 0.00010745957224830465,
|
| 898 |
+
"loss": 0.0449,
|
| 899 |
+
"step": 1100
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 15.492957746478874,
|
| 903 |
+
"eval_accuracy": 0.9401408450704225,
|
| 904 |
+
"eval_f1": 0.8482142857142857,
|
| 905 |
+
"eval_loss": 0.179457426071167,
|
| 906 |
+
"eval_precision": 0.8527827648114902,
|
| 907 |
+
"eval_recall": 0.8436944937833037,
|
| 908 |
+
"eval_runtime": 2.2185,
|
| 909 |
+
"eval_samples_per_second": 128.015,
|
| 910 |
+
"eval_steps_per_second": 16.227,
|
| 911 |
+
"step": 1100
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 15.633802816901408,
|
| 915 |
+
"grad_norm": 0.44636908173561096,
|
| 916 |
+
"learning_rate": 0.00010641627543035995,
|
| 917 |
+
"loss": 0.0414,
|
| 918 |
+
"step": 1110
|
| 919 |
+
},
|
| 920 |
+
{
|
| 921 |
+
"epoch": 15.774647887323944,
|
| 922 |
+
"grad_norm": 0.2414419800043106,
|
| 923 |
+
"learning_rate": 0.00010537297861241524,
|
| 924 |
+
"loss": 0.0474,
|
| 925 |
+
"step": 1120
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 15.915492957746478,
|
| 929 |
+
"grad_norm": 0.3585289716720581,
|
| 930 |
+
"learning_rate": 0.00010432968179447054,
|
| 931 |
+
"loss": 0.0422,
|
| 932 |
+
"step": 1130
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 16.056338028169016,
|
| 936 |
+
"grad_norm": 0.3467848598957062,
|
| 937 |
+
"learning_rate": 0.00010328638497652582,
|
| 938 |
+
"loss": 0.0512,
|
| 939 |
+
"step": 1140
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 16.197183098591548,
|
| 943 |
+
"grad_norm": 0.3701542019844055,
|
| 944 |
+
"learning_rate": 0.00010224308815858112,
|
| 945 |
+
"loss": 0.0329,
|
| 946 |
+
"step": 1150
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 16.338028169014084,
|
| 950 |
+
"grad_norm": 0.4284435510635376,
|
| 951 |
+
"learning_rate": 0.00010119979134063642,
|
| 952 |
+
"loss": 0.0475,
|
| 953 |
+
"step": 1160
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 16.47887323943662,
|
| 957 |
+
"grad_norm": 0.6009432673454285,
|
| 958 |
+
"learning_rate": 0.00010015649452269171,
|
| 959 |
+
"loss": 0.0467,
|
| 960 |
+
"step": 1170
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 16.619718309859156,
|
| 964 |
+
"grad_norm": 0.45662951469421387,
|
| 965 |
+
"learning_rate": 9.911319770474701e-05,
|
| 966 |
+
"loss": 0.0721,
|
| 967 |
+
"step": 1180
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"epoch": 16.760563380281692,
|
| 971 |
+
"grad_norm": 0.617853581905365,
|
| 972 |
+
"learning_rate": 9.80699008868023e-05,
|
| 973 |
+
"loss": 0.0603,
|
| 974 |
+
"step": 1190
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 16.901408450704224,
|
| 978 |
+
"grad_norm": 0.34839749336242676,
|
| 979 |
+
"learning_rate": 9.70266040688576e-05,
|
| 980 |
+
"loss": 0.0488,
|
| 981 |
+
"step": 1200
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 16.901408450704224,
|
| 985 |
+
"eval_accuracy": 0.9309859154929577,
|
| 986 |
+
"eval_f1": 0.8253119429590018,
|
| 987 |
+
"eval_loss": 0.20648732781410217,
|
| 988 |
+
"eval_precision": 0.8282647584973166,
|
| 989 |
+
"eval_recall": 0.822380106571936,
|
| 990 |
+
"eval_runtime": 2.4518,
|
| 991 |
+
"eval_samples_per_second": 115.834,
|
| 992 |
+
"eval_steps_per_second": 14.683,
|
| 993 |
+
"step": 1200
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 17.04225352112676,
|
| 997 |
+
"grad_norm": 1.235846996307373,
|
| 998 |
+
"learning_rate": 9.59833072509129e-05,
|
| 999 |
+
"loss": 0.0605,
|
| 1000 |
+
"step": 1210
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 17.183098591549296,
|
| 1004 |
+
"grad_norm": 0.442062646150589,
|
| 1005 |
+
"learning_rate": 9.494001043296818e-05,
|
| 1006 |
+
"loss": 0.0478,
|
| 1007 |
+
"step": 1220
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 17.323943661971832,
|
| 1011 |
+
"grad_norm": 0.1856844127178192,
|
| 1012 |
+
"learning_rate": 9.389671361502347e-05,
|
| 1013 |
+
"loss": 0.0447,
|
| 1014 |
+
"step": 1230
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 17.464788732394368,
|
| 1018 |
+
"grad_norm": 0.3410162627696991,
|
| 1019 |
+
"learning_rate": 9.285341679707877e-05,
|
| 1020 |
+
"loss": 0.0419,
|
| 1021 |
+
"step": 1240
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 17.6056338028169,
|
| 1025 |
+
"grad_norm": 0.34299418330192566,
|
| 1026 |
+
"learning_rate": 9.181011997913407e-05,
|
| 1027 |
+
"loss": 0.0534,
|
| 1028 |
+
"step": 1250
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 17.746478873239436,
|
| 1032 |
+
"grad_norm": 0.7993258833885193,
|
| 1033 |
+
"learning_rate": 9.076682316118936e-05,
|
| 1034 |
+
"loss": 0.036,
|
| 1035 |
+
"step": 1260
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 17.887323943661972,
|
| 1039 |
+
"grad_norm": 0.8087213635444641,
|
| 1040 |
+
"learning_rate": 8.972352634324466e-05,
|
| 1041 |
+
"loss": 0.0569,
|
| 1042 |
+
"step": 1270
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 18.028169014084508,
|
| 1046 |
+
"grad_norm": 0.48548343777656555,
|
| 1047 |
+
"learning_rate": 8.868022952529996e-05,
|
| 1048 |
+
"loss": 0.0295,
|
| 1049 |
+
"step": 1280
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 18.169014084507044,
|
| 1053 |
+
"grad_norm": 0.6621302962303162,
|
| 1054 |
+
"learning_rate": 8.763693270735525e-05,
|
| 1055 |
+
"loss": 0.0356,
|
| 1056 |
+
"step": 1290
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 18.309859154929576,
|
| 1060 |
+
"grad_norm": 0.19855746626853943,
|
| 1061 |
+
"learning_rate": 8.659363588941053e-05,
|
| 1062 |
+
"loss": 0.0483,
|
| 1063 |
+
"step": 1300
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 18.309859154929576,
|
| 1067 |
+
"eval_accuracy": 0.9376760563380282,
|
| 1068 |
+
"eval_f1": 0.8426666666666667,
|
| 1069 |
+
"eval_loss": 0.197713240981102,
|
| 1070 |
+
"eval_precision": 0.8434163701067615,
|
| 1071 |
+
"eval_recall": 0.8419182948490231,
|
| 1072 |
+
"eval_runtime": 3.0583,
|
| 1073 |
+
"eval_samples_per_second": 92.863,
|
| 1074 |
+
"eval_steps_per_second": 11.771,
|
| 1075 |
+
"step": 1300
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 18.450704225352112,
|
| 1079 |
+
"grad_norm": 0.43651339411735535,
|
| 1080 |
+
"learning_rate": 8.555033907146583e-05,
|
| 1081 |
+
"loss": 0.0245,
|
| 1082 |
+
"step": 1310
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 18.591549295774648,
|
| 1086 |
+
"grad_norm": 0.5284798741340637,
|
| 1087 |
+
"learning_rate": 8.450704225352113e-05,
|
| 1088 |
+
"loss": 0.0493,
|
| 1089 |
+
"step": 1320
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 18.732394366197184,
|
| 1093 |
+
"grad_norm": 0.49052557349205017,
|
| 1094 |
+
"learning_rate": 8.346374543557642e-05,
|
| 1095 |
+
"loss": 0.0291,
|
| 1096 |
+
"step": 1330
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 18.87323943661972,
|
| 1100 |
+
"grad_norm": 0.3060341477394104,
|
| 1101 |
+
"learning_rate": 8.242044861763172e-05,
|
| 1102 |
+
"loss": 0.0435,
|
| 1103 |
+
"step": 1340
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 19.014084507042252,
|
| 1107 |
+
"grad_norm": 0.5241355895996094,
|
| 1108 |
+
"learning_rate": 8.137715179968701e-05,
|
| 1109 |
+
"loss": 0.0439,
|
| 1110 |
+
"step": 1350
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 19.154929577464788,
|
| 1114 |
+
"grad_norm": 0.5462380647659302,
|
| 1115 |
+
"learning_rate": 8.033385498174231e-05,
|
| 1116 |
+
"loss": 0.0442,
|
| 1117 |
+
"step": 1360
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 19.295774647887324,
|
| 1121 |
+
"grad_norm": 0.8547139167785645,
|
| 1122 |
+
"learning_rate": 7.92905581637976e-05,
|
| 1123 |
+
"loss": 0.0412,
|
| 1124 |
+
"step": 1370
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 19.43661971830986,
|
| 1128 |
+
"grad_norm": 0.5264360308647156,
|
| 1129 |
+
"learning_rate": 7.82472613458529e-05,
|
| 1130 |
+
"loss": 0.041,
|
| 1131 |
+
"step": 1380
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 19.577464788732396,
|
| 1135 |
+
"grad_norm": 0.804766833782196,
|
| 1136 |
+
"learning_rate": 7.720396452790818e-05,
|
| 1137 |
+
"loss": 0.0336,
|
| 1138 |
+
"step": 1390
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 19.718309859154928,
|
| 1142 |
+
"grad_norm": 0.5560759902000427,
|
| 1143 |
+
"learning_rate": 7.616066770996348e-05,
|
| 1144 |
+
"loss": 0.0317,
|
| 1145 |
+
"step": 1400
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 19.718309859154928,
|
| 1149 |
+
"eval_accuracy": 0.9369718309859155,
|
| 1150 |
+
"eval_f1": 0.8394618834080717,
|
| 1151 |
+
"eval_loss": 0.20056433975696564,
|
| 1152 |
+
"eval_precision": 0.8478260869565217,
|
| 1153 |
+
"eval_recall": 0.8312611012433393,
|
| 1154 |
+
"eval_runtime": 2.2231,
|
| 1155 |
+
"eval_samples_per_second": 127.75,
|
| 1156 |
+
"eval_steps_per_second": 16.194,
|
| 1157 |
+
"step": 1400
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 19.859154929577464,
|
| 1161 |
+
"grad_norm": 0.4625890254974365,
|
| 1162 |
+
"learning_rate": 7.511737089201878e-05,
|
| 1163 |
+
"loss": 0.045,
|
| 1164 |
+
"step": 1410
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 20.0,
|
| 1168 |
+
"grad_norm": 0.5293967127799988,
|
| 1169 |
+
"learning_rate": 7.407407407407407e-05,
|
| 1170 |
+
"loss": 0.0329,
|
| 1171 |
+
"step": 1420
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 20.140845070422536,
|
| 1175 |
+
"grad_norm": 0.27396202087402344,
|
| 1176 |
+
"learning_rate": 7.303077725612937e-05,
|
| 1177 |
+
"loss": 0.0281,
|
| 1178 |
+
"step": 1430
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 20.281690140845072,
|
| 1182 |
+
"grad_norm": 1.0957276821136475,
|
| 1183 |
+
"learning_rate": 7.198748043818467e-05,
|
| 1184 |
+
"loss": 0.0397,
|
| 1185 |
+
"step": 1440
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 20.422535211267604,
|
| 1189 |
+
"grad_norm": 0.5030433535575867,
|
| 1190 |
+
"learning_rate": 7.094418362023996e-05,
|
| 1191 |
+
"loss": 0.0384,
|
| 1192 |
+
"step": 1450
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 20.56338028169014,
|
| 1196 |
+
"grad_norm": 0.05735601857304573,
|
| 1197 |
+
"learning_rate": 6.990088680229526e-05,
|
| 1198 |
+
"loss": 0.028,
|
| 1199 |
+
"step": 1460
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 20.704225352112676,
|
| 1203 |
+
"grad_norm": 0.4034988284111023,
|
| 1204 |
+
"learning_rate": 6.885758998435054e-05,
|
| 1205 |
+
"loss": 0.0387,
|
| 1206 |
+
"step": 1470
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 20.845070422535212,
|
| 1210 |
+
"grad_norm": 0.6823456287384033,
|
| 1211 |
+
"learning_rate": 6.781429316640585e-05,
|
| 1212 |
+
"loss": 0.0334,
|
| 1213 |
+
"step": 1480
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 20.985915492957748,
|
| 1217 |
+
"grad_norm": 0.36791157722473145,
|
| 1218 |
+
"learning_rate": 6.677099634846115e-05,
|
| 1219 |
+
"loss": 0.0413,
|
| 1220 |
+
"step": 1490
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 21.12676056338028,
|
| 1224 |
+
"grad_norm": 0.3275921642780304,
|
| 1225 |
+
"learning_rate": 6.572769953051644e-05,
|
| 1226 |
+
"loss": 0.0411,
|
| 1227 |
+
"step": 1500
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 21.12676056338028,
|
| 1231 |
+
"eval_accuracy": 0.9362676056338028,
|
| 1232 |
+
"eval_f1": 0.8367899008115419,
|
| 1233 |
+
"eval_loss": 0.2068268060684204,
|
| 1234 |
+
"eval_precision": 0.8498168498168498,
|
| 1235 |
+
"eval_recall": 0.8241563055062167,
|
| 1236 |
+
"eval_runtime": 2.1811,
|
| 1237 |
+
"eval_samples_per_second": 130.209,
|
| 1238 |
+
"eval_steps_per_second": 16.505,
|
| 1239 |
+
"step": 1500
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 21.267605633802816,
|
| 1243 |
+
"grad_norm": 0.7097957134246826,
|
| 1244 |
+
"learning_rate": 6.468440271257174e-05,
|
| 1245 |
+
"loss": 0.0382,
|
| 1246 |
+
"step": 1510
|
| 1247 |
+
},
|
| 1248 |
+
{
|
| 1249 |
+
"epoch": 21.408450704225352,
|
| 1250 |
+
"grad_norm": 0.36959874629974365,
|
| 1251 |
+
"learning_rate": 6.364110589462703e-05,
|
| 1252 |
+
"loss": 0.0364,
|
| 1253 |
+
"step": 1520
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 21.549295774647888,
|
| 1257 |
+
"grad_norm": 1.0485373735427856,
|
| 1258 |
+
"learning_rate": 6.259780907668233e-05,
|
| 1259 |
+
"loss": 0.0345,
|
| 1260 |
+
"step": 1530
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 21.690140845070424,
|
| 1264 |
+
"grad_norm": 0.35940033197402954,
|
| 1265 |
+
"learning_rate": 6.155451225873761e-05,
|
| 1266 |
+
"loss": 0.0542,
|
| 1267 |
+
"step": 1540
|
| 1268 |
+
},
|
| 1269 |
+
{
|
| 1270 |
+
"epoch": 21.830985915492956,
|
| 1271 |
+
"grad_norm": 0.34279265999794006,
|
| 1272 |
+
"learning_rate": 6.0511215440792915e-05,
|
| 1273 |
+
"loss": 0.039,
|
| 1274 |
+
"step": 1550
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 21.971830985915492,
|
| 1278 |
+
"grad_norm": 0.4195212721824646,
|
| 1279 |
+
"learning_rate": 5.9467918622848205e-05,
|
| 1280 |
+
"loss": 0.0477,
|
| 1281 |
+
"step": 1560
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 22.112676056338028,
|
| 1285 |
+
"grad_norm": 0.4848310351371765,
|
| 1286 |
+
"learning_rate": 5.84246218049035e-05,
|
| 1287 |
+
"loss": 0.0413,
|
| 1288 |
+
"step": 1570
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"epoch": 22.253521126760564,
|
| 1292 |
+
"grad_norm": 0.31897225975990295,
|
| 1293 |
+
"learning_rate": 5.73813249869588e-05,
|
| 1294 |
+
"loss": 0.0425,
|
| 1295 |
+
"step": 1580
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 22.3943661971831,
|
| 1299 |
+
"grad_norm": 0.7236142158508301,
|
| 1300 |
+
"learning_rate": 5.633802816901409e-05,
|
| 1301 |
+
"loss": 0.0467,
|
| 1302 |
+
"step": 1590
|
| 1303 |
+
},
|
| 1304 |
+
{
|
| 1305 |
+
"epoch": 22.535211267605632,
|
| 1306 |
+
"grad_norm": 0.5363371968269348,
|
| 1307 |
+
"learning_rate": 5.529473135106938e-05,
|
| 1308 |
+
"loss": 0.0512,
|
| 1309 |
+
"step": 1600
|
| 1310 |
+
},
|
| 1311 |
+
{
|
| 1312 |
+
"epoch": 22.535211267605632,
|
| 1313 |
+
"eval_accuracy": 0.9390845070422535,
|
| 1314 |
+
"eval_f1": 0.8445642407906558,
|
| 1315 |
+
"eval_loss": 0.20564186573028564,
|
| 1316 |
+
"eval_precision": 0.8545454545454545,
|
| 1317 |
+
"eval_recall": 0.8348134991119005,
|
| 1318 |
+
"eval_runtime": 3.113,
|
| 1319 |
+
"eval_samples_per_second": 91.231,
|
| 1320 |
+
"eval_steps_per_second": 11.564,
|
| 1321 |
+
"step": 1600
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 22.676056338028168,
|
| 1325 |
+
"grad_norm": 0.33758053183555603,
|
| 1326 |
+
"learning_rate": 5.425143453312468e-05,
|
| 1327 |
+
"loss": 0.0357,
|
| 1328 |
+
"step": 1610
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 22.816901408450704,
|
| 1332 |
+
"grad_norm": 0.27382269501686096,
|
| 1333 |
+
"learning_rate": 5.3208137715179974e-05,
|
| 1334 |
+
"loss": 0.0313,
|
| 1335 |
+
"step": 1620
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 22.95774647887324,
|
| 1339 |
+
"grad_norm": 0.3563465476036072,
|
| 1340 |
+
"learning_rate": 5.216484089723527e-05,
|
| 1341 |
+
"loss": 0.0297,
|
| 1342 |
+
"step": 1630
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 23.098591549295776,
|
| 1346 |
+
"grad_norm": 0.2593757212162018,
|
| 1347 |
+
"learning_rate": 5.112154407929056e-05,
|
| 1348 |
+
"loss": 0.0258,
|
| 1349 |
+
"step": 1640
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 23.239436619718308,
|
| 1353 |
+
"grad_norm": 0.28875812888145447,
|
| 1354 |
+
"learning_rate": 5.0078247261345856e-05,
|
| 1355 |
+
"loss": 0.0272,
|
| 1356 |
+
"step": 1650
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 23.380281690140844,
|
| 1360 |
+
"grad_norm": 0.7140405178070068,
|
| 1361 |
+
"learning_rate": 4.903495044340115e-05,
|
| 1362 |
+
"loss": 0.0237,
|
| 1363 |
+
"step": 1660
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"epoch": 23.52112676056338,
|
| 1367 |
+
"grad_norm": 0.19595526158809662,
|
| 1368 |
+
"learning_rate": 4.799165362545645e-05,
|
| 1369 |
+
"loss": 0.0215,
|
| 1370 |
+
"step": 1670
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 23.661971830985916,
|
| 1374 |
+
"grad_norm": 0.3630121052265167,
|
| 1375 |
+
"learning_rate": 4.694835680751174e-05,
|
| 1376 |
+
"loss": 0.0276,
|
| 1377 |
+
"step": 1680
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 23.802816901408452,
|
| 1381 |
+
"grad_norm": 0.531328558921814,
|
| 1382 |
+
"learning_rate": 4.5905059989567033e-05,
|
| 1383 |
+
"loss": 0.0289,
|
| 1384 |
+
"step": 1690
|
| 1385 |
+
},
|
| 1386 |
+
{
|
| 1387 |
+
"epoch": 23.943661971830984,
|
| 1388 |
+
"grad_norm": 0.039958756417036057,
|
| 1389 |
+
"learning_rate": 4.486176317162233e-05,
|
| 1390 |
+
"loss": 0.0329,
|
| 1391 |
+
"step": 1700
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 23.943661971830984,
|
| 1395 |
+
"eval_accuracy": 0.9338028169014084,
|
| 1396 |
+
"eval_f1": 0.8294010889292196,
|
| 1397 |
+
"eval_loss": 0.21274171769618988,
|
| 1398 |
+
"eval_precision": 0.8478664192949907,
|
| 1399 |
+
"eval_recall": 0.8117229129662522,
|
| 1400 |
+
"eval_runtime": 2.4843,
|
| 1401 |
+
"eval_samples_per_second": 114.317,
|
| 1402 |
+
"eval_steps_per_second": 14.491,
|
| 1403 |
+
"step": 1700
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 24.08450704225352,
|
| 1407 |
+
"grad_norm": 0.15843306481838226,
|
| 1408 |
+
"learning_rate": 4.3818466353677626e-05,
|
| 1409 |
+
"loss": 0.0217,
|
| 1410 |
+
"step": 1710
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 24.225352112676056,
|
| 1414 |
+
"grad_norm": 0.12869732081890106,
|
| 1415 |
+
"learning_rate": 4.2775169535732915e-05,
|
| 1416 |
+
"loss": 0.0227,
|
| 1417 |
+
"step": 1720
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 24.366197183098592,
|
| 1421 |
+
"grad_norm": 0.08577102422714233,
|
| 1422 |
+
"learning_rate": 4.173187271778821e-05,
|
| 1423 |
+
"loss": 0.0249,
|
| 1424 |
+
"step": 1730
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 24.507042253521128,
|
| 1428 |
+
"grad_norm": 0.2362302988767624,
|
| 1429 |
+
"learning_rate": 4.068857589984351e-05,
|
| 1430 |
+
"loss": 0.0286,
|
| 1431 |
+
"step": 1740
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 24.647887323943664,
|
| 1435 |
+
"grad_norm": 0.24027810990810394,
|
| 1436 |
+
"learning_rate": 3.96452790818988e-05,
|
| 1437 |
+
"loss": 0.0248,
|
| 1438 |
+
"step": 1750
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 24.788732394366196,
|
| 1442 |
+
"grad_norm": 0.790462076663971,
|
| 1443 |
+
"learning_rate": 3.860198226395409e-05,
|
| 1444 |
+
"loss": 0.0263,
|
| 1445 |
+
"step": 1760
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 24.929577464788732,
|
| 1449 |
+
"grad_norm": 0.16294124722480774,
|
| 1450 |
+
"learning_rate": 3.755868544600939e-05,
|
| 1451 |
+
"loss": 0.0442,
|
| 1452 |
+
"step": 1770
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 25.070422535211268,
|
| 1456 |
+
"grad_norm": 0.4505746066570282,
|
| 1457 |
+
"learning_rate": 3.6515388628064685e-05,
|
| 1458 |
+
"loss": 0.0256,
|
| 1459 |
+
"step": 1780
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 25.211267605633804,
|
| 1463 |
+
"grad_norm": 0.650375485420227,
|
| 1464 |
+
"learning_rate": 3.547209181011998e-05,
|
| 1465 |
+
"loss": 0.0228,
|
| 1466 |
+
"step": 1790
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 25.352112676056336,
|
| 1470 |
+
"grad_norm": 0.1388479620218277,
|
| 1471 |
+
"learning_rate": 3.442879499217527e-05,
|
| 1472 |
+
"loss": 0.0197,
|
| 1473 |
+
"step": 1800
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 25.352112676056336,
|
| 1477 |
+
"eval_accuracy": 0.9334507042253521,
|
| 1478 |
+
"eval_f1": 0.828649138712602,
|
| 1479 |
+
"eval_loss": 0.2122490257024765,
|
| 1480 |
+
"eval_precision": 0.8462962962962963,
|
| 1481 |
+
"eval_recall": 0.8117229129662522,
|
| 1482 |
+
"eval_runtime": 2.1705,
|
| 1483 |
+
"eval_samples_per_second": 130.848,
|
| 1484 |
+
"eval_steps_per_second": 16.586,
|
| 1485 |
+
"step": 1800
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 25.492957746478872,
|
| 1489 |
+
"grad_norm": 0.27917221188545227,
|
| 1490 |
+
"learning_rate": 3.338549817423057e-05,
|
| 1491 |
+
"loss": 0.0169,
|
| 1492 |
+
"step": 1810
|
| 1493 |
+
},
|
| 1494 |
+
{
|
| 1495 |
+
"epoch": 25.633802816901408,
|
| 1496 |
+
"grad_norm": 0.3449484407901764,
|
| 1497 |
+
"learning_rate": 3.234220135628587e-05,
|
| 1498 |
+
"loss": 0.0363,
|
| 1499 |
+
"step": 1820
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 25.774647887323944,
|
| 1503 |
+
"grad_norm": 0.1575915664434433,
|
| 1504 |
+
"learning_rate": 3.1298904538341165e-05,
|
| 1505 |
+
"loss": 0.0397,
|
| 1506 |
+
"step": 1830
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 25.91549295774648,
|
| 1510 |
+
"grad_norm": 0.2630869150161743,
|
| 1511 |
+
"learning_rate": 3.0255607720396458e-05,
|
| 1512 |
+
"loss": 0.0257,
|
| 1513 |
+
"step": 1840
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 26.056338028169016,
|
| 1517 |
+
"grad_norm": 0.36075156927108765,
|
| 1518 |
+
"learning_rate": 2.921231090245175e-05,
|
| 1519 |
+
"loss": 0.0248,
|
| 1520 |
+
"step": 1850
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 26.197183098591548,
|
| 1524 |
+
"grad_norm": 0.1405423879623413,
|
| 1525 |
+
"learning_rate": 2.8169014084507046e-05,
|
| 1526 |
+
"loss": 0.0248,
|
| 1527 |
+
"step": 1860
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 26.338028169014084,
|
| 1531 |
+
"grad_norm": 0.23486283421516418,
|
| 1532 |
+
"learning_rate": 2.712571726656234e-05,
|
| 1533 |
+
"loss": 0.0229,
|
| 1534 |
+
"step": 1870
|
| 1535 |
+
},
|
| 1536 |
+
{
|
| 1537 |
+
"epoch": 26.47887323943662,
|
| 1538 |
+
"grad_norm": 0.47251322865486145,
|
| 1539 |
+
"learning_rate": 2.6082420448617635e-05,
|
| 1540 |
+
"loss": 0.0186,
|
| 1541 |
+
"step": 1880
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 26.619718309859156,
|
| 1545 |
+
"grad_norm": 0.14794085919857025,
|
| 1546 |
+
"learning_rate": 2.5039123630672928e-05,
|
| 1547 |
+
"loss": 0.0214,
|
| 1548 |
+
"step": 1890
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 26.760563380281692,
|
| 1552 |
+
"grad_norm": 0.1104566678404808,
|
| 1553 |
+
"learning_rate": 2.3995826812728224e-05,
|
| 1554 |
+
"loss": 0.0316,
|
| 1555 |
+
"step": 1900
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"epoch": 26.760563380281692,
|
| 1559 |
+
"eval_accuracy": 0.9373239436619718,
|
| 1560 |
+
"eval_f1": 0.8399280575539568,
|
| 1561 |
+
"eval_loss": 0.20504821836948395,
|
| 1562 |
+
"eval_precision": 0.8506375227686703,
|
| 1563 |
+
"eval_recall": 0.8294849023090586,
|
| 1564 |
+
"eval_runtime": 2.1762,
|
| 1565 |
+
"eval_samples_per_second": 130.502,
|
| 1566 |
+
"eval_steps_per_second": 16.543,
|
| 1567 |
+
"step": 1900
|
| 1568 |
+
},
|
| 1569 |
+
{
|
| 1570 |
+
"epoch": 26.901408450704224,
|
| 1571 |
+
"grad_norm": 0.35611000657081604,
|
| 1572 |
+
"learning_rate": 2.2952529994783517e-05,
|
| 1573 |
+
"loss": 0.028,
|
| 1574 |
+
"step": 1910
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 27.04225352112676,
|
| 1578 |
+
"grad_norm": 0.31670650839805603,
|
| 1579 |
+
"learning_rate": 2.1909233176838813e-05,
|
| 1580 |
+
"loss": 0.0186,
|
| 1581 |
+
"step": 1920
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 27.183098591549296,
|
| 1585 |
+
"grad_norm": 0.17706644535064697,
|
| 1586 |
+
"learning_rate": 2.0865936358894105e-05,
|
| 1587 |
+
"loss": 0.0153,
|
| 1588 |
+
"step": 1930
|
| 1589 |
+
},
|
| 1590 |
+
{
|
| 1591 |
+
"epoch": 27.323943661971832,
|
| 1592 |
+
"grad_norm": 0.3245967626571655,
|
| 1593 |
+
"learning_rate": 1.98226395409494e-05,
|
| 1594 |
+
"loss": 0.0189,
|
| 1595 |
+
"step": 1940
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 27.464788732394368,
|
| 1599 |
+
"grad_norm": 0.24404743313789368,
|
| 1600 |
+
"learning_rate": 1.8779342723004694e-05,
|
| 1601 |
+
"loss": 0.016,
|
| 1602 |
+
"step": 1950
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 27.6056338028169,
|
| 1606 |
+
"grad_norm": 0.5631425380706787,
|
| 1607 |
+
"learning_rate": 1.773604590505999e-05,
|
| 1608 |
+
"loss": 0.0347,
|
| 1609 |
+
"step": 1960
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 27.746478873239436,
|
| 1613 |
+
"grad_norm": 0.18322208523750305,
|
| 1614 |
+
"learning_rate": 1.6692749087115286e-05,
|
| 1615 |
+
"loss": 0.0224,
|
| 1616 |
+
"step": 1970
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 27.887323943661972,
|
| 1620 |
+
"grad_norm": 0.26571351289749146,
|
| 1621 |
+
"learning_rate": 1.5649452269170582e-05,
|
| 1622 |
+
"loss": 0.0136,
|
| 1623 |
+
"step": 1980
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 28.028169014084508,
|
| 1627 |
+
"grad_norm": 0.1630268394947052,
|
| 1628 |
+
"learning_rate": 1.4606155451225875e-05,
|
| 1629 |
+
"loss": 0.0234,
|
| 1630 |
+
"step": 1990
|
| 1631 |
+
},
|
| 1632 |
+
{
|
| 1633 |
+
"epoch": 28.169014084507044,
|
| 1634 |
+
"grad_norm": 0.20336656272411346,
|
| 1635 |
+
"learning_rate": 1.356285863328117e-05,
|
| 1636 |
+
"loss": 0.0133,
|
| 1637 |
+
"step": 2000
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 28.169014084507044,
|
| 1641 |
+
"eval_accuracy": 0.9408450704225352,
|
| 1642 |
+
"eval_f1": 0.8494623655913979,
|
| 1643 |
+
"eval_loss": 0.20187228918075562,
|
| 1644 |
+
"eval_precision": 0.8571428571428571,
|
| 1645 |
+
"eval_recall": 0.8419182948490231,
|
| 1646 |
+
"eval_runtime": 2.7007,
|
| 1647 |
+
"eval_samples_per_second": 105.158,
|
| 1648 |
+
"eval_steps_per_second": 13.33,
|
| 1649 |
+
"step": 2000
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 28.309859154929576,
|
| 1653 |
+
"grad_norm": 0.20230424404144287,
|
| 1654 |
+
"learning_rate": 1.2519561815336464e-05,
|
| 1655 |
+
"loss": 0.0206,
|
| 1656 |
+
"step": 2010
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"epoch": 28.450704225352112,
|
| 1660 |
+
"grad_norm": 0.5370287299156189,
|
| 1661 |
+
"learning_rate": 1.1476264997391758e-05,
|
| 1662 |
+
"loss": 0.0327,
|
| 1663 |
+
"step": 2020
|
| 1664 |
+
},
|
| 1665 |
+
{
|
| 1666 |
+
"epoch": 28.591549295774648,
|
| 1667 |
+
"grad_norm": 0.2412065863609314,
|
| 1668 |
+
"learning_rate": 1.0432968179447053e-05,
|
| 1669 |
+
"loss": 0.0101,
|
| 1670 |
+
"step": 2030
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 28.732394366197184,
|
| 1674 |
+
"grad_norm": 0.49697521328926086,
|
| 1675 |
+
"learning_rate": 9.389671361502347e-06,
|
| 1676 |
+
"loss": 0.0193,
|
| 1677 |
+
"step": 2040
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"epoch": 28.87323943661972,
|
| 1681 |
+
"grad_norm": 0.17303723096847534,
|
| 1682 |
+
"learning_rate": 8.346374543557643e-06,
|
| 1683 |
+
"loss": 0.0167,
|
| 1684 |
+
"step": 2050
|
| 1685 |
+
},
|
| 1686 |
+
{
|
| 1687 |
+
"epoch": 29.014084507042252,
|
| 1688 |
+
"grad_norm": 0.311748206615448,
|
| 1689 |
+
"learning_rate": 7.303077725612938e-06,
|
| 1690 |
+
"loss": 0.0166,
|
| 1691 |
+
"step": 2060
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 29.154929577464788,
|
| 1695 |
+
"grad_norm": 0.1465146541595459,
|
| 1696 |
+
"learning_rate": 6.259780907668232e-06,
|
| 1697 |
+
"loss": 0.0252,
|
| 1698 |
+
"step": 2070
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"epoch": 29.295774647887324,
|
| 1702 |
+
"grad_norm": 0.1742701530456543,
|
| 1703 |
+
"learning_rate": 5.216484089723526e-06,
|
| 1704 |
+
"loss": 0.0249,
|
| 1705 |
+
"step": 2080
|
| 1706 |
+
},
|
| 1707 |
+
{
|
| 1708 |
+
"epoch": 29.43661971830986,
|
| 1709 |
+
"grad_norm": 0.12084958702325821,
|
| 1710 |
+
"learning_rate": 4.173187271778822e-06,
|
| 1711 |
+
"loss": 0.0219,
|
| 1712 |
+
"step": 2090
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 29.577464788732396,
|
| 1716 |
+
"grad_norm": 0.1655401885509491,
|
| 1717 |
+
"learning_rate": 3.129890453834116e-06,
|
| 1718 |
+
"loss": 0.0181,
|
| 1719 |
+
"step": 2100
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 29.577464788732396,
|
| 1723 |
+
"eval_accuracy": 0.9401408450704225,
|
| 1724 |
+
"eval_f1": 0.8473967684021544,
|
| 1725 |
+
"eval_loss": 0.20311439037322998,
|
| 1726 |
+
"eval_precision": 0.8566243194192378,
|
| 1727 |
+
"eval_recall": 0.8383658969804618,
|
| 1728 |
+
"eval_runtime": 2.8967,
|
| 1729 |
+
"eval_samples_per_second": 98.042,
|
| 1730 |
+
"eval_steps_per_second": 12.428,
|
| 1731 |
+
"step": 2100
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 29.718309859154928,
|
| 1735 |
+
"grad_norm": 0.2921566963195801,
|
| 1736 |
+
"learning_rate": 2.086593635889411e-06,
|
| 1737 |
+
"loss": 0.0208,
|
| 1738 |
+
"step": 2110
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 29.859154929577464,
|
| 1742 |
+
"grad_norm": 0.12771935760974884,
|
| 1743 |
+
"learning_rate": 1.0432968179447054e-06,
|
| 1744 |
+
"loss": 0.014,
|
| 1745 |
+
"step": 2120
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 30.0,
|
| 1749 |
+
"grad_norm": 0.040317874401807785,
|
| 1750 |
+
"learning_rate": 0.0,
|
| 1751 |
+
"loss": 0.019,
|
| 1752 |
+
"step": 2130
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 30.0,
|
| 1756 |
+
"step": 2130,
|
| 1757 |
+
"total_flos": 2.6364665116584346e+18,
|
| 1758 |
+
"train_loss": 0.08667128345636135,
|
| 1759 |
+
"train_runtime": 602.5463,
|
| 1760 |
+
"train_samples_per_second": 56.46,
|
| 1761 |
+
"train_steps_per_second": 3.535
|
| 1762 |
+
}
|
| 1763 |
+
],
|
| 1764 |
+
"logging_steps": 10,
|
| 1765 |
+
"max_steps": 2130,
|
| 1766 |
+
"num_input_tokens_seen": 0,
|
| 1767 |
+
"num_train_epochs": 30,
|
| 1768 |
+
"save_steps": 500,
|
| 1769 |
+
"stateful_callbacks": {
|
| 1770 |
+
"TrainerControl": {
|
| 1771 |
+
"args": {
|
| 1772 |
+
"should_epoch_stop": false,
|
| 1773 |
+
"should_evaluate": false,
|
| 1774 |
+
"should_log": false,
|
| 1775 |
+
"should_save": true,
|
| 1776 |
+
"should_training_stop": true
|
| 1777 |
+
},
|
| 1778 |
+
"attributes": {}
|
| 1779 |
+
}
|
| 1780 |
+
},
|
| 1781 |
+
"total_flos": 2.6364665116584346e+18,
|
| 1782 |
+
"train_batch_size": 16,
|
| 1783 |
+
"trial_name": null,
|
| 1784 |
+
"trial_params": null
|
| 1785 |
+
}
|