🍻 cheers
Browse files- README.md +6 -5
- all_results.json +14 -0
- eval_results.json +10 -0
- runs/Mar31_17-12-55_ryanserver/events.out.tfevents.1711937747.ryanserver.31714.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +2182 -0
README.md
CHANGED
@@ -2,6 +2,7 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-base-patch16-224-in21k
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
6 |
model-index:
|
7 |
- name: ryan03312024_lr_2e-5_wd_001_v2
|
@@ -13,12 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
# ryan03312024_lr_2e-5_wd_001_v2
|
15 |
|
16 |
-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss: 0.
|
19 |
-
- Ordinal Mae: 0.
|
20 |
-
- Ordinal Accuracy: 0.
|
21 |
-
- Na Accuracy: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-base-patch16-224-in21k
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
- generated_from_trainer
|
7 |
model-index:
|
8 |
- name: ryan03312024_lr_2e-5_wd_001_v2
|
|
|
14 |
|
15 |
# ryan03312024_lr_2e-5_wd_001_v2
|
16 |
|
17 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the properties dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.1914
|
20 |
+
- Ordinal Mae: 0.4198
|
21 |
+
- Ordinal Accuracy: 0.6843
|
22 |
+
- Na Accuracy: 0.8505
|
23 |
|
24 |
## Model description
|
25 |
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"eval_loss": 0.1913878321647644,
|
4 |
+
"eval_na_accuracy": 0.8505154848098755,
|
5 |
+
"eval_ordinal_accuracy": 0.6843051910400391,
|
6 |
+
"eval_ordinal_mae": 0.41984713077545166,
|
7 |
+
"eval_runtime": 173.1798,
|
8 |
+
"eval_samples_per_second": 25.84,
|
9 |
+
"eval_steps_per_second": 3.234,
|
10 |
+
"train_loss": 0.18857605492557122,
|
11 |
+
"train_runtime": 17933.6413,
|
12 |
+
"train_samples_per_second": 4.948,
|
13 |
+
"train_steps_per_second": 0.309
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"eval_loss": 0.1913878321647644,
|
4 |
+
"eval_na_accuracy": 0.8505154848098755,
|
5 |
+
"eval_ordinal_accuracy": 0.6843051910400391,
|
6 |
+
"eval_ordinal_mae": 0.41984713077545166,
|
7 |
+
"eval_runtime": 173.1798,
|
8 |
+
"eval_samples_per_second": 25.84,
|
9 |
+
"eval_steps_per_second": 3.234
|
10 |
+
}
|
runs/Mar31_17-12-55_ryanserver/events.out.tfevents.1711937747.ryanserver.31714.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dc41af4234ec2ac0cfeb657f9fa61ec5019fbe24b50f0a3178e538551af756d5
|
3 |
+
size 529
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"train_loss": 0.18857605492557122,
|
4 |
+
"train_runtime": 17933.6413,
|
5 |
+
"train_samples_per_second": 4.948,
|
6 |
+
"train_steps_per_second": 0.309
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2182 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.1913878321647644,
|
3 |
+
"best_model_checkpoint": "./ryan03312024_lr_2e-5_wd_001_v2/checkpoint-2800",
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 5546,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 0.6066028475761414,
|
14 |
+
"learning_rate": 1.9909844933285253e-05,
|
15 |
+
"loss": 0.571,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02,
|
20 |
+
"grad_norm": 0.938056468963623,
|
21 |
+
"learning_rate": 1.9819689866570503e-05,
|
22 |
+
"loss": 0.4613,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.03,
|
27 |
+
"grad_norm": 1.0178314447402954,
|
28 |
+
"learning_rate": 1.9729534799855754e-05,
|
29 |
+
"loss": 0.4095,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.04,
|
34 |
+
"grad_norm": 1.4264367818832397,
|
35 |
+
"learning_rate": 1.9639379733141005e-05,
|
36 |
+
"loss": 0.4426,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.04,
|
41 |
+
"eval_loss": 0.37066397070884705,
|
42 |
+
"eval_na_accuracy": 0.80756014585495,
|
43 |
+
"eval_ordinal_accuracy": 0.3408682346343994,
|
44 |
+
"eval_ordinal_mae": 0.8707404732704163,
|
45 |
+
"eval_runtime": 343.5137,
|
46 |
+
"eval_samples_per_second": 13.027,
|
47 |
+
"eval_steps_per_second": 1.63,
|
48 |
+
"step": 100
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 0.05,
|
52 |
+
"grad_norm": 0.495741069316864,
|
53 |
+
"learning_rate": 1.9549224666426253e-05,
|
54 |
+
"loss": 0.3942,
|
55 |
+
"step": 125
|
56 |
+
},
|
57 |
+
{
|
58 |
+
"epoch": 0.05,
|
59 |
+
"grad_norm": 0.6811705827713013,
|
60 |
+
"learning_rate": 1.9459069599711507e-05,
|
61 |
+
"loss": 0.3667,
|
62 |
+
"step": 150
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.06,
|
66 |
+
"grad_norm": 1.048833966255188,
|
67 |
+
"learning_rate": 1.9368914532996758e-05,
|
68 |
+
"loss": 0.3792,
|
69 |
+
"step": 175
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.07,
|
73 |
+
"grad_norm": 0.517120897769928,
|
74 |
+
"learning_rate": 1.9278759466282005e-05,
|
75 |
+
"loss": 0.3133,
|
76 |
+
"step": 200
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.07,
|
80 |
+
"eval_loss": 0.3202913999557495,
|
81 |
+
"eval_na_accuracy": 0.7749140858650208,
|
82 |
+
"eval_ordinal_accuracy": 0.4300025701522827,
|
83 |
+
"eval_ordinal_mae": 0.8544500470161438,
|
84 |
+
"eval_runtime": 201.5044,
|
85 |
+
"eval_samples_per_second": 22.208,
|
86 |
+
"eval_steps_per_second": 2.779,
|
87 |
+
"step": 200
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.08,
|
91 |
+
"grad_norm": 1.3575235605239868,
|
92 |
+
"learning_rate": 1.9188604399567256e-05,
|
93 |
+
"loss": 0.3491,
|
94 |
+
"step": 225
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.09,
|
98 |
+
"grad_norm": 1.0482808351516724,
|
99 |
+
"learning_rate": 1.909844933285251e-05,
|
100 |
+
"loss": 0.3655,
|
101 |
+
"step": 250
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.1,
|
105 |
+
"grad_norm": 2.861924409866333,
|
106 |
+
"learning_rate": 1.9008294266137758e-05,
|
107 |
+
"loss": 0.3141,
|
108 |
+
"step": 275
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.11,
|
112 |
+
"grad_norm": 1.2723792791366577,
|
113 |
+
"learning_rate": 1.891813919942301e-05,
|
114 |
+
"loss": 0.3349,
|
115 |
+
"step": 300
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.11,
|
119 |
+
"eval_loss": 0.2997085452079773,
|
120 |
+
"eval_na_accuracy": 0.8419243693351746,
|
121 |
+
"eval_ordinal_accuracy": 0.4592858850955963,
|
122 |
+
"eval_ordinal_mae": 0.8338660001754761,
|
123 |
+
"eval_runtime": 195.4794,
|
124 |
+
"eval_samples_per_second": 22.892,
|
125 |
+
"eval_steps_per_second": 2.865,
|
126 |
+
"step": 300
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.12,
|
130 |
+
"grad_norm": 0.6588447690010071,
|
131 |
+
"learning_rate": 1.882798413270826e-05,
|
132 |
+
"loss": 0.2944,
|
133 |
+
"step": 325
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 0.13,
|
137 |
+
"grad_norm": 0.5759406089782715,
|
138 |
+
"learning_rate": 1.873782906599351e-05,
|
139 |
+
"loss": 0.2992,
|
140 |
+
"step": 350
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.14,
|
144 |
+
"grad_norm": 0.21856403350830078,
|
145 |
+
"learning_rate": 1.864767399927876e-05,
|
146 |
+
"loss": 0.305,
|
147 |
+
"step": 375
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.14,
|
151 |
+
"grad_norm": 1.3187426328659058,
|
152 |
+
"learning_rate": 1.8557518932564012e-05,
|
153 |
+
"loss": 0.3173,
|
154 |
+
"step": 400
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 0.14,
|
158 |
+
"eval_loss": 0.28696730732917786,
|
159 |
+
"eval_na_accuracy": 0.8659793734550476,
|
160 |
+
"eval_ordinal_accuracy": 0.48189055919647217,
|
161 |
+
"eval_ordinal_mae": 0.7992547750473022,
|
162 |
+
"eval_runtime": 196.5851,
|
163 |
+
"eval_samples_per_second": 22.764,
|
164 |
+
"eval_steps_per_second": 2.849,
|
165 |
+
"step": 400
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.15,
|
169 |
+
"grad_norm": 1.22658109664917,
|
170 |
+
"learning_rate": 1.846736386584926e-05,
|
171 |
+
"loss": 0.2952,
|
172 |
+
"step": 425
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.16,
|
176 |
+
"grad_norm": 2.2546815872192383,
|
177 |
+
"learning_rate": 1.8377208799134514e-05,
|
178 |
+
"loss": 0.3037,
|
179 |
+
"step": 450
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.17,
|
183 |
+
"grad_norm": 2.8508079051971436,
|
184 |
+
"learning_rate": 1.8287053732419765e-05,
|
185 |
+
"loss": 0.3114,
|
186 |
+
"step": 475
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.18,
|
190 |
+
"grad_norm": 1.2727103233337402,
|
191 |
+
"learning_rate": 1.8196898665705013e-05,
|
192 |
+
"loss": 0.2946,
|
193 |
+
"step": 500
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.18,
|
197 |
+
"eval_loss": 0.2856302559375763,
|
198 |
+
"eval_na_accuracy": 0.8934707641601562,
|
199 |
+
"eval_ordinal_accuracy": 0.5111739039421082,
|
200 |
+
"eval_ordinal_mae": 0.7690269351005554,
|
201 |
+
"eval_runtime": 195.0911,
|
202 |
+
"eval_samples_per_second": 22.938,
|
203 |
+
"eval_steps_per_second": 2.87,
|
204 |
+
"step": 500
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.19,
|
208 |
+
"grad_norm": 1.6682345867156982,
|
209 |
+
"learning_rate": 1.8106743598990263e-05,
|
210 |
+
"loss": 0.301,
|
211 |
+
"step": 525
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.2,
|
215 |
+
"grad_norm": 1.0263928174972534,
|
216 |
+
"learning_rate": 1.8016588532275518e-05,
|
217 |
+
"loss": 0.2746,
|
218 |
+
"step": 550
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.21,
|
222 |
+
"grad_norm": 0.3150116503238678,
|
223 |
+
"learning_rate": 1.7926433465560765e-05,
|
224 |
+
"loss": 0.2676,
|
225 |
+
"step": 575
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.22,
|
229 |
+
"grad_norm": 0.7826778888702393,
|
230 |
+
"learning_rate": 1.7836278398846016e-05,
|
231 |
+
"loss": 0.3002,
|
232 |
+
"step": 600
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 0.22,
|
236 |
+
"eval_loss": 0.2724498510360718,
|
237 |
+
"eval_na_accuracy": 0.9209622144699097,
|
238 |
+
"eval_ordinal_accuracy": 0.5345491766929626,
|
239 |
+
"eval_ordinal_mae": 0.7232748866081238,
|
240 |
+
"eval_runtime": 200.1722,
|
241 |
+
"eval_samples_per_second": 22.356,
|
242 |
+
"eval_steps_per_second": 2.798,
|
243 |
+
"step": 600
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.23,
|
247 |
+
"grad_norm": 0.7353246808052063,
|
248 |
+
"learning_rate": 1.7746123332131267e-05,
|
249 |
+
"loss": 0.303,
|
250 |
+
"step": 625
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.23,
|
254 |
+
"grad_norm": 0.5406638383865356,
|
255 |
+
"learning_rate": 1.7655968265416518e-05,
|
256 |
+
"loss": 0.2909,
|
257 |
+
"step": 650
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.24,
|
261 |
+
"grad_norm": 1.443584680557251,
|
262 |
+
"learning_rate": 1.756581319870177e-05,
|
263 |
+
"loss": 0.2512,
|
264 |
+
"step": 675
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.25,
|
268 |
+
"grad_norm": 2.028228521347046,
|
269 |
+
"learning_rate": 1.747565813198702e-05,
|
270 |
+
"loss": 0.2817,
|
271 |
+
"step": 700
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.25,
|
275 |
+
"eval_loss": 0.26569074392318726,
|
276 |
+
"eval_na_accuracy": 0.8625429272651672,
|
277 |
+
"eval_ordinal_accuracy": 0.5566401481628418,
|
278 |
+
"eval_ordinal_mae": 0.6927691102027893,
|
279 |
+
"eval_runtime": 201.4281,
|
280 |
+
"eval_samples_per_second": 22.216,
|
281 |
+
"eval_steps_per_second": 2.78,
|
282 |
+
"step": 700
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.26,
|
286 |
+
"grad_norm": 0.40620824694633484,
|
287 |
+
"learning_rate": 1.738550306527227e-05,
|
288 |
+
"loss": 0.2732,
|
289 |
+
"step": 725
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.27,
|
293 |
+
"grad_norm": 1.9016238451004028,
|
294 |
+
"learning_rate": 1.729534799855752e-05,
|
295 |
+
"loss": 0.2552,
|
296 |
+
"step": 750
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.28,
|
300 |
+
"grad_norm": 2.003732919692993,
|
301 |
+
"learning_rate": 1.7205192931842772e-05,
|
302 |
+
"loss": 0.2538,
|
303 |
+
"step": 775
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.29,
|
307 |
+
"grad_norm": 2.751253604888916,
|
308 |
+
"learning_rate": 1.711503786512802e-05,
|
309 |
+
"loss": 0.2939,
|
310 |
+
"step": 800
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.29,
|
314 |
+
"eval_loss": 0.25960293412208557,
|
315 |
+
"eval_na_accuracy": 0.7920961976051331,
|
316 |
+
"eval_ordinal_accuracy": 0.5861803293228149,
|
317 |
+
"eval_ordinal_mae": 0.6425440907478333,
|
318 |
+
"eval_runtime": 200.1318,
|
319 |
+
"eval_samples_per_second": 22.36,
|
320 |
+
"eval_steps_per_second": 2.798,
|
321 |
+
"step": 800
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.3,
|
325 |
+
"grad_norm": 2.241727113723755,
|
326 |
+
"learning_rate": 1.702488279841327e-05,
|
327 |
+
"loss": 0.2659,
|
328 |
+
"step": 825
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 0.31,
|
332 |
+
"grad_norm": 0.8341929912567139,
|
333 |
+
"learning_rate": 1.6938333934367113e-05,
|
334 |
+
"loss": 0.2654,
|
335 |
+
"step": 850
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.32,
|
339 |
+
"grad_norm": 1.8499948978424072,
|
340 |
+
"learning_rate": 1.6848178867652364e-05,
|
341 |
+
"loss": 0.2774,
|
342 |
+
"step": 875
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 0.32,
|
346 |
+
"grad_norm": 1.8184664249420166,
|
347 |
+
"learning_rate": 1.6758023800937615e-05,
|
348 |
+
"loss": 0.2525,
|
349 |
+
"step": 900
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.32,
|
353 |
+
"eval_loss": 0.24585017561912537,
|
354 |
+
"eval_na_accuracy": 0.8264604806900024,
|
355 |
+
"eval_ordinal_accuracy": 0.6046750545501709,
|
356 |
+
"eval_ordinal_mae": 0.6053154468536377,
|
357 |
+
"eval_runtime": 203.517,
|
358 |
+
"eval_samples_per_second": 21.988,
|
359 |
+
"eval_steps_per_second": 2.752,
|
360 |
+
"step": 900
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.33,
|
364 |
+
"grad_norm": 1.131605625152588,
|
365 |
+
"learning_rate": 1.6667868734222866e-05,
|
366 |
+
"loss": 0.2701,
|
367 |
+
"step": 925
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.34,
|
371 |
+
"grad_norm": 2.05479097366333,
|
372 |
+
"learning_rate": 1.6577713667508117e-05,
|
373 |
+
"loss": 0.2956,
|
374 |
+
"step": 950
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.35,
|
378 |
+
"grad_norm": 1.3499815464019775,
|
379 |
+
"learning_rate": 1.6487558600793364e-05,
|
380 |
+
"loss": 0.2446,
|
381 |
+
"step": 975
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.36,
|
385 |
+
"grad_norm": 0.7456974983215332,
|
386 |
+
"learning_rate": 1.639740353407862e-05,
|
387 |
+
"loss": 0.2163,
|
388 |
+
"step": 1000
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.36,
|
392 |
+
"eval_loss": 0.2399808019399643,
|
393 |
+
"eval_na_accuracy": 0.8109965920448303,
|
394 |
+
"eval_ordinal_accuracy": 0.624454140663147,
|
395 |
+
"eval_ordinal_mae": 0.5777344703674316,
|
396 |
+
"eval_runtime": 217.2069,
|
397 |
+
"eval_samples_per_second": 20.602,
|
398 |
+
"eval_steps_per_second": 2.578,
|
399 |
+
"step": 1000
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.37,
|
403 |
+
"grad_norm": 1.0125823020935059,
|
404 |
+
"learning_rate": 1.6307248467363866e-05,
|
405 |
+
"loss": 0.2168,
|
406 |
+
"step": 1025
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 0.38,
|
410 |
+
"grad_norm": 1.9579060077667236,
|
411 |
+
"learning_rate": 1.6217093400649117e-05,
|
412 |
+
"loss": 0.2364,
|
413 |
+
"step": 1050
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.39,
|
417 |
+
"grad_norm": 2.975767135620117,
|
418 |
+
"learning_rate": 1.6126938333934368e-05,
|
419 |
+
"loss": 0.2716,
|
420 |
+
"step": 1075
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 0.4,
|
424 |
+
"grad_norm": 2.9766530990600586,
|
425 |
+
"learning_rate": 1.603678326721962e-05,
|
426 |
+
"loss": 0.2181,
|
427 |
+
"step": 1100
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 0.4,
|
431 |
+
"eval_loss": 0.23391272127628326,
|
432 |
+
"eval_na_accuracy": 0.876288652420044,
|
433 |
+
"eval_ordinal_accuracy": 0.6023632287979126,
|
434 |
+
"eval_ordinal_mae": 0.5429691672325134,
|
435 |
+
"eval_runtime": 209.4151,
|
436 |
+
"eval_samples_per_second": 21.369,
|
437 |
+
"eval_steps_per_second": 2.674,
|
438 |
+
"step": 1100
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.41,
|
442 |
+
"grad_norm": 0.6088442802429199,
|
443 |
+
"learning_rate": 1.594662820050487e-05,
|
444 |
+
"loss": 0.2128,
|
445 |
+
"step": 1125
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.41,
|
449 |
+
"grad_norm": 0.3461017906665802,
|
450 |
+
"learning_rate": 1.585647313379012e-05,
|
451 |
+
"loss": 0.2145,
|
452 |
+
"step": 1150
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.42,
|
456 |
+
"grad_norm": 1.341361165046692,
|
457 |
+
"learning_rate": 1.576631806707537e-05,
|
458 |
+
"loss": 0.2554,
|
459 |
+
"step": 1175
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.43,
|
463 |
+
"grad_norm": 0.5675370693206787,
|
464 |
+
"learning_rate": 1.5676163000360622e-05,
|
465 |
+
"loss": 0.1949,
|
466 |
+
"step": 1200
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.43,
|
470 |
+
"eval_loss": 0.23308563232421875,
|
471 |
+
"eval_na_accuracy": 0.7955326437950134,
|
472 |
+
"eval_ordinal_accuracy": 0.6285640597343445,
|
473 |
+
"eval_ordinal_mae": 0.5328579545021057,
|
474 |
+
"eval_runtime": 209.3844,
|
475 |
+
"eval_samples_per_second": 21.372,
|
476 |
+
"eval_steps_per_second": 2.675,
|
477 |
+
"step": 1200
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.44,
|
481 |
+
"grad_norm": 2.334373712539673,
|
482 |
+
"learning_rate": 1.5586007933645873e-05,
|
483 |
+
"loss": 0.2739,
|
484 |
+
"step": 1225
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 0.45,
|
488 |
+
"grad_norm": 0.5421320199966431,
|
489 |
+
"learning_rate": 1.5495852866931124e-05,
|
490 |
+
"loss": 0.2294,
|
491 |
+
"step": 1250
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.46,
|
495 |
+
"grad_norm": 2.599592924118042,
|
496 |
+
"learning_rate": 1.540569780021637e-05,
|
497 |
+
"loss": 0.255,
|
498 |
+
"step": 1275
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.47,
|
502 |
+
"grad_norm": 0.6286499500274658,
|
503 |
+
"learning_rate": 1.5315542733501626e-05,
|
504 |
+
"loss": 0.214,
|
505 |
+
"step": 1300
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.47,
|
509 |
+
"eval_loss": 0.24238631129264832,
|
510 |
+
"eval_na_accuracy": 0.7628865838050842,
|
511 |
+
"eval_ordinal_accuracy": 0.6182892322540283,
|
512 |
+
"eval_ordinal_mae": 0.5243560671806335,
|
513 |
+
"eval_runtime": 212.87,
|
514 |
+
"eval_samples_per_second": 21.022,
|
515 |
+
"eval_steps_per_second": 2.631,
|
516 |
+
"step": 1300
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 0.48,
|
520 |
+
"grad_norm": 1.9406815767288208,
|
521 |
+
"learning_rate": 1.5225387666786875e-05,
|
522 |
+
"loss": 0.2225,
|
523 |
+
"step": 1325
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 0.49,
|
527 |
+
"grad_norm": 3.733520269393921,
|
528 |
+
"learning_rate": 1.5135232600072126e-05,
|
529 |
+
"loss": 0.1918,
|
530 |
+
"step": 1350
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.5,
|
534 |
+
"grad_norm": 0.8792308568954468,
|
535 |
+
"learning_rate": 1.5045077533357375e-05,
|
536 |
+
"loss": 0.2179,
|
537 |
+
"step": 1375
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.5,
|
541 |
+
"grad_norm": 1.1207715272903442,
|
542 |
+
"learning_rate": 1.4954922466642628e-05,
|
543 |
+
"loss": 0.27,
|
544 |
+
"step": 1400
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.5,
|
548 |
+
"eval_loss": 0.22981737554073334,
|
549 |
+
"eval_na_accuracy": 0.7869415879249573,
|
550 |
+
"eval_ordinal_accuracy": 0.6367839574813843,
|
551 |
+
"eval_ordinal_mae": 0.4994910955429077,
|
552 |
+
"eval_runtime": 212.2299,
|
553 |
+
"eval_samples_per_second": 21.086,
|
554 |
+
"eval_steps_per_second": 2.639,
|
555 |
+
"step": 1400
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.51,
|
559 |
+
"grad_norm": 2.47230863571167,
|
560 |
+
"learning_rate": 1.4864767399927877e-05,
|
561 |
+
"loss": 0.2348,
|
562 |
+
"step": 1425
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.52,
|
566 |
+
"grad_norm": 1.015068769454956,
|
567 |
+
"learning_rate": 1.4774612333213128e-05,
|
568 |
+
"loss": 0.2593,
|
569 |
+
"step": 1450
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.53,
|
573 |
+
"grad_norm": 1.7957515716552734,
|
574 |
+
"learning_rate": 1.4684457266498377e-05,
|
575 |
+
"loss": 0.2049,
|
576 |
+
"step": 1475
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.54,
|
580 |
+
"grad_norm": 1.9824727773666382,
|
581 |
+
"learning_rate": 1.459430219978363e-05,
|
582 |
+
"loss": 0.2117,
|
583 |
+
"step": 1500
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.54,
|
587 |
+
"eval_loss": 0.2300846129655838,
|
588 |
+
"eval_na_accuracy": 0.7783505320549011,
|
589 |
+
"eval_ordinal_accuracy": 0.6473156809806824,
|
590 |
+
"eval_ordinal_mae": 0.4949534237384796,
|
591 |
+
"eval_runtime": 210.619,
|
592 |
+
"eval_samples_per_second": 21.247,
|
593 |
+
"eval_steps_per_second": 2.659,
|
594 |
+
"step": 1500
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.55,
|
598 |
+
"grad_norm": 1.1805070638656616,
|
599 |
+
"learning_rate": 1.450414713306888e-05,
|
600 |
+
"loss": 0.189,
|
601 |
+
"step": 1525
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.56,
|
605 |
+
"grad_norm": 1.2057225704193115,
|
606 |
+
"learning_rate": 1.441399206635413e-05,
|
607 |
+
"loss": 0.2254,
|
608 |
+
"step": 1550
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.57,
|
612 |
+
"grad_norm": 3.1214776039123535,
|
613 |
+
"learning_rate": 1.432383699963938e-05,
|
614 |
+
"loss": 0.2286,
|
615 |
+
"step": 1575
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.58,
|
619 |
+
"grad_norm": 2.340480089187622,
|
620 |
+
"learning_rate": 1.4233681932924633e-05,
|
621 |
+
"loss": 0.2038,
|
622 |
+
"step": 1600
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 0.58,
|
626 |
+
"eval_loss": 0.21561825275421143,
|
627 |
+
"eval_na_accuracy": 0.8367697596549988,
|
628 |
+
"eval_ordinal_accuracy": 0.6550218462944031,
|
629 |
+
"eval_ordinal_mae": 0.48989665508270264,
|
630 |
+
"eval_runtime": 207.7331,
|
631 |
+
"eval_samples_per_second": 21.542,
|
632 |
+
"eval_steps_per_second": 2.696,
|
633 |
+
"step": 1600
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.59,
|
637 |
+
"grad_norm": 2.1810505390167236,
|
638 |
+
"learning_rate": 1.4143526866209882e-05,
|
639 |
+
"loss": 0.2223,
|
640 |
+
"step": 1625
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.6,
|
644 |
+
"grad_norm": 2.7431559562683105,
|
645 |
+
"learning_rate": 1.4053371799495133e-05,
|
646 |
+
"loss": 0.2644,
|
647 |
+
"step": 1650
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.6,
|
651 |
+
"grad_norm": 0.8831206560134888,
|
652 |
+
"learning_rate": 1.3963216732780382e-05,
|
653 |
+
"loss": 0.2589,
|
654 |
+
"step": 1675
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.61,
|
658 |
+
"grad_norm": 2.4183125495910645,
|
659 |
+
"learning_rate": 1.3873061666065635e-05,
|
660 |
+
"loss": 0.1974,
|
661 |
+
"step": 1700
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.61,
|
665 |
+
"eval_loss": 0.22116971015930176,
|
666 |
+
"eval_na_accuracy": 0.8281787037849426,
|
667 |
+
"eval_ordinal_accuracy": 0.6347290277481079,
|
668 |
+
"eval_ordinal_mae": 0.4638911485671997,
|
669 |
+
"eval_runtime": 207.3318,
|
670 |
+
"eval_samples_per_second": 21.584,
|
671 |
+
"eval_steps_per_second": 2.701,
|
672 |
+
"step": 1700
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 0.62,
|
676 |
+
"grad_norm": 1.318037986755371,
|
677 |
+
"learning_rate": 1.3782906599350886e-05,
|
678 |
+
"loss": 0.2456,
|
679 |
+
"step": 1725
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"epoch": 0.63,
|
683 |
+
"grad_norm": 3.9031999111175537,
|
684 |
+
"learning_rate": 1.3692751532636135e-05,
|
685 |
+
"loss": 0.2208,
|
686 |
+
"step": 1750
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.64,
|
690 |
+
"grad_norm": 0.9724792838096619,
|
691 |
+
"learning_rate": 1.3602596465921386e-05,
|
692 |
+
"loss": 0.1694,
|
693 |
+
"step": 1775
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.65,
|
697 |
+
"grad_norm": 0.8028815984725952,
|
698 |
+
"learning_rate": 1.3512441399206637e-05,
|
699 |
+
"loss": 0.1916,
|
700 |
+
"step": 1800
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 0.65,
|
704 |
+
"eval_loss": 0.2150656282901764,
|
705 |
+
"eval_na_accuracy": 0.8797250986099243,
|
706 |
+
"eval_ordinal_accuracy": 0.6439763903617859,
|
707 |
+
"eval_ordinal_mae": 0.4789562523365021,
|
708 |
+
"eval_runtime": 211.6606,
|
709 |
+
"eval_samples_per_second": 21.142,
|
710 |
+
"eval_steps_per_second": 2.646,
|
711 |
+
"step": 1800
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.66,
|
715 |
+
"grad_norm": 5.7413434982299805,
|
716 |
+
"learning_rate": 1.3422286332491887e-05,
|
717 |
+
"loss": 0.2097,
|
718 |
+
"step": 1825
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.67,
|
722 |
+
"grad_norm": 0.586044192314148,
|
723 |
+
"learning_rate": 1.3332131265777137e-05,
|
724 |
+
"loss": 0.1926,
|
725 |
+
"step": 1850
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.68,
|
729 |
+
"grad_norm": 3.0166969299316406,
|
730 |
+
"learning_rate": 1.3241976199062388e-05,
|
731 |
+
"loss": 0.1901,
|
732 |
+
"step": 1875
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 0.69,
|
736 |
+
"grad_norm": 0.5749481916427612,
|
737 |
+
"learning_rate": 1.315182113234764e-05,
|
738 |
+
"loss": 0.1921,
|
739 |
+
"step": 1900
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.69,
|
743 |
+
"eval_loss": 0.20500315725803375,
|
744 |
+
"eval_na_accuracy": 0.8728522062301636,
|
745 |
+
"eval_ordinal_accuracy": 0.6609298586845398,
|
746 |
+
"eval_ordinal_mae": 0.4614226222038269,
|
747 |
+
"eval_runtime": 179.4835,
|
748 |
+
"eval_samples_per_second": 24.933,
|
749 |
+
"eval_steps_per_second": 3.12,
|
750 |
+
"step": 1900
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 0.69,
|
754 |
+
"grad_norm": 1.0241420269012451,
|
755 |
+
"learning_rate": 1.306166606563289e-05,
|
756 |
+
"loss": 0.2312,
|
757 |
+
"step": 1925
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 0.7,
|
761 |
+
"grad_norm": 2.6365127563476562,
|
762 |
+
"learning_rate": 1.2975117201586732e-05,
|
763 |
+
"loss": 0.2358,
|
764 |
+
"step": 1950
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.71,
|
768 |
+
"grad_norm": 2.4451234340667725,
|
769 |
+
"learning_rate": 1.2884962134871981e-05,
|
770 |
+
"loss": 0.2349,
|
771 |
+
"step": 1975
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.72,
|
775 |
+
"grad_norm": 0.9995049238204956,
|
776 |
+
"learning_rate": 1.2794807068157232e-05,
|
777 |
+
"loss": 0.1936,
|
778 |
+
"step": 2000
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 0.72,
|
782 |
+
"eval_loss": 0.20607997477054596,
|
783 |
+
"eval_na_accuracy": 0.8573883175849915,
|
784 |
+
"eval_ordinal_accuracy": 0.6496275663375854,
|
785 |
+
"eval_ordinal_mae": 0.4565940797328949,
|
786 |
+
"eval_runtime": 175.1471,
|
787 |
+
"eval_samples_per_second": 25.55,
|
788 |
+
"eval_steps_per_second": 3.197,
|
789 |
+
"step": 2000
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.73,
|
793 |
+
"grad_norm": 5.394123554229736,
|
794 |
+
"learning_rate": 1.2704652001442481e-05,
|
795 |
+
"loss": 0.2187,
|
796 |
+
"step": 2025
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 0.74,
|
800 |
+
"grad_norm": 2.7290520668029785,
|
801 |
+
"learning_rate": 1.2614496934727734e-05,
|
802 |
+
"loss": 0.2144,
|
803 |
+
"step": 2050
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.75,
|
807 |
+
"grad_norm": 2.8023579120635986,
|
808 |
+
"learning_rate": 1.2524341868012983e-05,
|
809 |
+
"loss": 0.1749,
|
810 |
+
"step": 2075
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 0.76,
|
814 |
+
"grad_norm": 2.040255308151245,
|
815 |
+
"learning_rate": 1.2434186801298234e-05,
|
816 |
+
"loss": 0.1939,
|
817 |
+
"step": 2100
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 0.76,
|
821 |
+
"eval_loss": 0.22944368422031403,
|
822 |
+
"eval_na_accuracy": 0.9089347124099731,
|
823 |
+
"eval_ordinal_accuracy": 0.6362702250480652,
|
824 |
+
"eval_ordinal_mae": 0.4656565487384796,
|
825 |
+
"eval_runtime": 176.4408,
|
826 |
+
"eval_samples_per_second": 25.363,
|
827 |
+
"eval_steps_per_second": 3.174,
|
828 |
+
"step": 2100
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.77,
|
832 |
+
"grad_norm": 1.4762495756149292,
|
833 |
+
"learning_rate": 1.2344031734583483e-05,
|
834 |
+
"loss": 0.2211,
|
835 |
+
"step": 2125
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.78,
|
839 |
+
"grad_norm": 3.6306161880493164,
|
840 |
+
"learning_rate": 1.2253876667868735e-05,
|
841 |
+
"loss": 0.2548,
|
842 |
+
"step": 2150
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.78,
|
846 |
+
"grad_norm": 1.6580469608306885,
|
847 |
+
"learning_rate": 1.2163721601153986e-05,
|
848 |
+
"loss": 0.211,
|
849 |
+
"step": 2175
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.79,
|
853 |
+
"grad_norm": 2.7241005897521973,
|
854 |
+
"learning_rate": 1.2073566534439236e-05,
|
855 |
+
"loss": 0.257,
|
856 |
+
"step": 2200
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.79,
|
860 |
+
"eval_loss": 0.20536109805107117,
|
861 |
+
"eval_na_accuracy": 0.8608247637748718,
|
862 |
+
"eval_ordinal_accuracy": 0.6527100205421448,
|
863 |
+
"eval_ordinal_mae": 0.45671576261520386,
|
864 |
+
"eval_runtime": 176.5474,
|
865 |
+
"eval_samples_per_second": 25.347,
|
866 |
+
"eval_steps_per_second": 3.172,
|
867 |
+
"step": 2200
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.8,
|
871 |
+
"grad_norm": 2.5323662757873535,
|
872 |
+
"learning_rate": 1.1983411467724486e-05,
|
873 |
+
"loss": 0.176,
|
874 |
+
"step": 2225
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 0.81,
|
878 |
+
"grad_norm": 5.30660343170166,
|
879 |
+
"learning_rate": 1.1893256401009739e-05,
|
880 |
+
"loss": 0.195,
|
881 |
+
"step": 2250
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.82,
|
885 |
+
"grad_norm": 3.7983808517456055,
|
886 |
+
"learning_rate": 1.1803101334294988e-05,
|
887 |
+
"loss": 0.1746,
|
888 |
+
"step": 2275
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 0.83,
|
892 |
+
"grad_norm": 0.6054279804229736,
|
893 |
+
"learning_rate": 1.1712946267580239e-05,
|
894 |
+
"loss": 0.2236,
|
895 |
+
"step": 2300
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 0.83,
|
899 |
+
"eval_loss": 0.2043941468000412,
|
900 |
+
"eval_na_accuracy": 0.876288652420044,
|
901 |
+
"eval_ordinal_accuracy": 0.6640123128890991,
|
902 |
+
"eval_ordinal_mae": 0.45420947670936584,
|
903 |
+
"eval_runtime": 176.816,
|
904 |
+
"eval_samples_per_second": 25.309,
|
905 |
+
"eval_steps_per_second": 3.167,
|
906 |
+
"step": 2300
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 0.84,
|
910 |
+
"grad_norm": 1.1567206382751465,
|
911 |
+
"learning_rate": 1.1622791200865488e-05,
|
912 |
+
"loss": 0.2479,
|
913 |
+
"step": 2325
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.85,
|
917 |
+
"grad_norm": 5.52665376663208,
|
918 |
+
"learning_rate": 1.1532636134150741e-05,
|
919 |
+
"loss": 0.2271,
|
920 |
+
"step": 2350
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.86,
|
924 |
+
"grad_norm": 2.9272255897521973,
|
925 |
+
"learning_rate": 1.1442481067435992e-05,
|
926 |
+
"loss": 0.2303,
|
927 |
+
"step": 2375
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.87,
|
931 |
+
"grad_norm": 3.266409397125244,
|
932 |
+
"learning_rate": 1.1352326000721241e-05,
|
933 |
+
"loss": 0.1925,
|
934 |
+
"step": 2400
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 0.87,
|
938 |
+
"eval_loss": 0.20849426090717316,
|
939 |
+
"eval_na_accuracy": 0.80756014585495,
|
940 |
+
"eval_ordinal_accuracy": 0.6886719465255737,
|
941 |
+
"eval_ordinal_mae": 0.44630834460258484,
|
942 |
+
"eval_runtime": 175.9296,
|
943 |
+
"eval_samples_per_second": 25.436,
|
944 |
+
"eval_steps_per_second": 3.183,
|
945 |
+
"step": 2400
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.87,
|
949 |
+
"grad_norm": 2.3057689666748047,
|
950 |
+
"learning_rate": 1.1262170934006492e-05,
|
951 |
+
"loss": 0.2049,
|
952 |
+
"step": 2425
|
953 |
+
},
|
954 |
+
{
|
955 |
+
"epoch": 0.88,
|
956 |
+
"grad_norm": 3.8032755851745605,
|
957 |
+
"learning_rate": 1.1172015867291743e-05,
|
958 |
+
"loss": 0.1909,
|
959 |
+
"step": 2450
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 0.89,
|
963 |
+
"grad_norm": 0.4314826428890228,
|
964 |
+
"learning_rate": 1.1081860800576994e-05,
|
965 |
+
"loss": 0.1825,
|
966 |
+
"step": 2475
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 0.9,
|
970 |
+
"grad_norm": 3.1127185821533203,
|
971 |
+
"learning_rate": 1.0991705733862243e-05,
|
972 |
+
"loss": 0.1657,
|
973 |
+
"step": 2500
|
974 |
+
},
|
975 |
+
{
|
976 |
+
"epoch": 0.9,
|
977 |
+
"eval_loss": 0.2033829689025879,
|
978 |
+
"eval_na_accuracy": 0.8522336483001709,
|
979 |
+
"eval_ordinal_accuracy": 0.6768559217453003,
|
980 |
+
"eval_ordinal_mae": 0.4391731023788452,
|
981 |
+
"eval_runtime": 174.624,
|
982 |
+
"eval_samples_per_second": 25.626,
|
983 |
+
"eval_steps_per_second": 3.207,
|
984 |
+
"step": 2500
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.91,
|
988 |
+
"grad_norm": 4.6838459968566895,
|
989 |
+
"learning_rate": 1.0901550667147494e-05,
|
990 |
+
"loss": 0.2397,
|
991 |
+
"step": 2525
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 0.92,
|
995 |
+
"grad_norm": 2.440084218978882,
|
996 |
+
"learning_rate": 1.0811395600432746e-05,
|
997 |
+
"loss": 0.1921,
|
998 |
+
"step": 2550
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.93,
|
1002 |
+
"grad_norm": 0.5833593606948853,
|
1003 |
+
"learning_rate": 1.0721240533717995e-05,
|
1004 |
+
"loss": 0.188,
|
1005 |
+
"step": 2575
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.94,
|
1009 |
+
"grad_norm": 2.1624417304992676,
|
1010 |
+
"learning_rate": 1.0631085467003246e-05,
|
1011 |
+
"loss": 0.1723,
|
1012 |
+
"step": 2600
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 0.94,
|
1016 |
+
"eval_loss": 0.1956964135169983,
|
1017 |
+
"eval_na_accuracy": 0.838487982749939,
|
1018 |
+
"eval_ordinal_accuracy": 0.6755715608596802,
|
1019 |
+
"eval_ordinal_mae": 0.42565402388572693,
|
1020 |
+
"eval_runtime": 175.3137,
|
1021 |
+
"eval_samples_per_second": 25.526,
|
1022 |
+
"eval_steps_per_second": 3.194,
|
1023 |
+
"step": 2600
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.95,
|
1027 |
+
"grad_norm": 3.9376819133758545,
|
1028 |
+
"learning_rate": 1.0540930400288496e-05,
|
1029 |
+
"loss": 0.1889,
|
1030 |
+
"step": 2625
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 0.96,
|
1034 |
+
"grad_norm": 2.2914035320281982,
|
1035 |
+
"learning_rate": 1.0450775333573748e-05,
|
1036 |
+
"loss": 0.2078,
|
1037 |
+
"step": 2650
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.96,
|
1041 |
+
"grad_norm": 1.2271968126296997,
|
1042 |
+
"learning_rate": 1.0360620266858999e-05,
|
1043 |
+
"loss": 0.2247,
|
1044 |
+
"step": 2675
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 0.97,
|
1048 |
+
"grad_norm": 2.135350227355957,
|
1049 |
+
"learning_rate": 1.0270465200144248e-05,
|
1050 |
+
"loss": 0.2279,
|
1051 |
+
"step": 2700
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.97,
|
1055 |
+
"eval_loss": 0.19462928175926208,
|
1056 |
+
"eval_na_accuracy": 0.8642611503601074,
|
1057 |
+
"eval_ordinal_accuracy": 0.6740303039550781,
|
1058 |
+
"eval_ordinal_mae": 0.4287233054637909,
|
1059 |
+
"eval_runtime": 175.4222,
|
1060 |
+
"eval_samples_per_second": 25.51,
|
1061 |
+
"eval_steps_per_second": 3.192,
|
1062 |
+
"step": 2700
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 0.98,
|
1066 |
+
"grad_norm": 0.897443413734436,
|
1067 |
+
"learning_rate": 1.0180310133429499e-05,
|
1068 |
+
"loss": 0.1672,
|
1069 |
+
"step": 2725
|
1070 |
+
},
|
1071 |
+
{
|
1072 |
+
"epoch": 0.99,
|
1073 |
+
"grad_norm": 1.9568222761154175,
|
1074 |
+
"learning_rate": 1.009015506671475e-05,
|
1075 |
+
"loss": 0.1597,
|
1076 |
+
"step": 2750
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 1.0,
|
1080 |
+
"grad_norm": 1.222680926322937,
|
1081 |
+
"learning_rate": 1e-05,
|
1082 |
+
"loss": 0.2093,
|
1083 |
+
"step": 2775
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 1.01,
|
1087 |
+
"grad_norm": 1.0666455030441284,
|
1088 |
+
"learning_rate": 9.909844933285252e-06,
|
1089 |
+
"loss": 0.1421,
|
1090 |
+
"step": 2800
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 1.01,
|
1094 |
+
"eval_loss": 0.1913878321647644,
|
1095 |
+
"eval_na_accuracy": 0.8505154848098755,
|
1096 |
+
"eval_ordinal_accuracy": 0.6843051910400391,
|
1097 |
+
"eval_ordinal_mae": 0.41984713077545166,
|
1098 |
+
"eval_runtime": 177.3377,
|
1099 |
+
"eval_samples_per_second": 25.234,
|
1100 |
+
"eval_steps_per_second": 3.158,
|
1101 |
+
"step": 2800
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 1.02,
|
1105 |
+
"grad_norm": 0.9463332295417786,
|
1106 |
+
"learning_rate": 9.819689866570503e-06,
|
1107 |
+
"loss": 0.1563,
|
1108 |
+
"step": 2825
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 1.03,
|
1112 |
+
"grad_norm": 0.9075057506561279,
|
1113 |
+
"learning_rate": 9.729534799855753e-06,
|
1114 |
+
"loss": 0.1411,
|
1115 |
+
"step": 2850
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 1.04,
|
1119 |
+
"grad_norm": 3.121269702911377,
|
1120 |
+
"learning_rate": 9.639379733141003e-06,
|
1121 |
+
"loss": 0.1368,
|
1122 |
+
"step": 2875
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 1.05,
|
1126 |
+
"grad_norm": 0.5694425702095032,
|
1127 |
+
"learning_rate": 9.549224666426255e-06,
|
1128 |
+
"loss": 0.1116,
|
1129 |
+
"step": 2900
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 1.05,
|
1133 |
+
"eval_loss": 0.20190554857254028,
|
1134 |
+
"eval_na_accuracy": 0.8230240345001221,
|
1135 |
+
"eval_ordinal_accuracy": 0.6704341173171997,
|
1136 |
+
"eval_ordinal_mae": 0.4214249551296234,
|
1137 |
+
"eval_runtime": 175.5908,
|
1138 |
+
"eval_samples_per_second": 25.485,
|
1139 |
+
"eval_steps_per_second": 3.189,
|
1140 |
+
"step": 2900
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 1.05,
|
1144 |
+
"grad_norm": 4.727107048034668,
|
1145 |
+
"learning_rate": 9.459069599711504e-06,
|
1146 |
+
"loss": 0.1485,
|
1147 |
+
"step": 2925
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 1.06,
|
1151 |
+
"grad_norm": 0.6293134689331055,
|
1152 |
+
"learning_rate": 9.368914532996755e-06,
|
1153 |
+
"loss": 0.116,
|
1154 |
+
"step": 2950
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 1.07,
|
1158 |
+
"grad_norm": 0.7508574724197388,
|
1159 |
+
"learning_rate": 9.278759466282006e-06,
|
1160 |
+
"loss": 0.1656,
|
1161 |
+
"step": 2975
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 1.08,
|
1165 |
+
"grad_norm": 0.7475106120109558,
|
1166 |
+
"learning_rate": 9.188604399567257e-06,
|
1167 |
+
"loss": 0.1194,
|
1168 |
+
"step": 3000
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 1.08,
|
1172 |
+
"eval_loss": 0.19536536931991577,
|
1173 |
+
"eval_na_accuracy": 0.8367697596549988,
|
1174 |
+
"eval_ordinal_accuracy": 0.6807089447975159,
|
1175 |
+
"eval_ordinal_mae": 0.41778308153152466,
|
1176 |
+
"eval_runtime": 175.6051,
|
1177 |
+
"eval_samples_per_second": 25.483,
|
1178 |
+
"eval_steps_per_second": 3.189,
|
1179 |
+
"step": 3000
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 1.09,
|
1183 |
+
"grad_norm": 0.6796592473983765,
|
1184 |
+
"learning_rate": 9.098449332852506e-06,
|
1185 |
+
"loss": 0.1483,
|
1186 |
+
"step": 3025
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 1.1,
|
1190 |
+
"grad_norm": 1.7480669021606445,
|
1191 |
+
"learning_rate": 9.008294266137759e-06,
|
1192 |
+
"loss": 0.1083,
|
1193 |
+
"step": 3050
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 1.11,
|
1197 |
+
"grad_norm": 0.7591541409492493,
|
1198 |
+
"learning_rate": 8.918139199423008e-06,
|
1199 |
+
"loss": 0.1463,
|
1200 |
+
"step": 3075
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 1.12,
|
1204 |
+
"grad_norm": 0.8966888189315796,
|
1205 |
+
"learning_rate": 8.827984132708259e-06,
|
1206 |
+
"loss": 0.1312,
|
1207 |
+
"step": 3100
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 1.12,
|
1211 |
+
"eval_loss": 0.19300740957260132,
|
1212 |
+
"eval_na_accuracy": 0.8591065406799316,
|
1213 |
+
"eval_ordinal_accuracy": 0.6873876452445984,
|
1214 |
+
"eval_ordinal_mae": 0.4165719449520111,
|
1215 |
+
"eval_runtime": 179.7716,
|
1216 |
+
"eval_samples_per_second": 24.893,
|
1217 |
+
"eval_steps_per_second": 3.115,
|
1218 |
+
"step": 3100
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"epoch": 1.13,
|
1222 |
+
"grad_norm": 1.1078789234161377,
|
1223 |
+
"learning_rate": 8.73782906599351e-06,
|
1224 |
+
"loss": 0.154,
|
1225 |
+
"step": 3125
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 1.14,
|
1229 |
+
"grad_norm": 4.303710460662842,
|
1230 |
+
"learning_rate": 8.64767399927876e-06,
|
1231 |
+
"loss": 0.1328,
|
1232 |
+
"step": 3150
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 1.14,
|
1236 |
+
"grad_norm": 0.9769502282142639,
|
1237 |
+
"learning_rate": 8.55751893256401e-06,
|
1238 |
+
"loss": 0.1253,
|
1239 |
+
"step": 3175
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 1.15,
|
1243 |
+
"grad_norm": 2.734457492828369,
|
1244 |
+
"learning_rate": 8.467363865849262e-06,
|
1245 |
+
"loss": 0.1836,
|
1246 |
+
"step": 3200
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 1.15,
|
1250 |
+
"eval_loss": 0.19890539348125458,
|
1251 |
+
"eval_na_accuracy": 0.8642611503601074,
|
1252 |
+
"eval_ordinal_accuracy": 0.6794245839118958,
|
1253 |
+
"eval_ordinal_mae": 0.4106903374195099,
|
1254 |
+
"eval_runtime": 173.0922,
|
1255 |
+
"eval_samples_per_second": 25.853,
|
1256 |
+
"eval_steps_per_second": 3.235,
|
1257 |
+
"step": 3200
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 1.16,
|
1261 |
+
"grad_norm": 1.8836966753005981,
|
1262 |
+
"learning_rate": 8.377208799134512e-06,
|
1263 |
+
"loss": 0.1168,
|
1264 |
+
"step": 3225
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 1.17,
|
1268 |
+
"grad_norm": 1.8701483011245728,
|
1269 |
+
"learning_rate": 8.287053732419763e-06,
|
1270 |
+
"loss": 0.1184,
|
1271 |
+
"step": 3250
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 1.18,
|
1275 |
+
"grad_norm": 1.9784027338027954,
|
1276 |
+
"learning_rate": 8.196898665705013e-06,
|
1277 |
+
"loss": 0.1085,
|
1278 |
+
"step": 3275
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 1.19,
|
1282 |
+
"grad_norm": 3.046462059020996,
|
1283 |
+
"learning_rate": 8.106743598990264e-06,
|
1284 |
+
"loss": 0.1282,
|
1285 |
+
"step": 3300
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"epoch": 1.19,
|
1289 |
+
"eval_loss": 0.195108100771904,
|
1290 |
+
"eval_na_accuracy": 0.8539518713951111,
|
1291 |
+
"eval_ordinal_accuracy": 0.6971487402915955,
|
1292 |
+
"eval_ordinal_mae": 0.412724107503891,
|
1293 |
+
"eval_runtime": 175.5444,
|
1294 |
+
"eval_samples_per_second": 25.492,
|
1295 |
+
"eval_steps_per_second": 3.19,
|
1296 |
+
"step": 3300
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 1.2,
|
1300 |
+
"grad_norm": 1.4622838497161865,
|
1301 |
+
"learning_rate": 8.016588532275515e-06,
|
1302 |
+
"loss": 0.1428,
|
1303 |
+
"step": 3325
|
1304 |
+
},
|
1305 |
+
{
|
1306 |
+
"epoch": 1.21,
|
1307 |
+
"grad_norm": 1.1039246320724487,
|
1308 |
+
"learning_rate": 7.926433465560766e-06,
|
1309 |
+
"loss": 0.1027,
|
1310 |
+
"step": 3350
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 1.22,
|
1314 |
+
"grad_norm": 1.006919503211975,
|
1315 |
+
"learning_rate": 7.836278398846015e-06,
|
1316 |
+
"loss": 0.1545,
|
1317 |
+
"step": 3375
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 1.23,
|
1321 |
+
"grad_norm": 0.9952992796897888,
|
1322 |
+
"learning_rate": 7.746123332131266e-06,
|
1323 |
+
"loss": 0.1406,
|
1324 |
+
"step": 3400
|
1325 |
+
},
|
1326 |
+
{
|
1327 |
+
"epoch": 1.23,
|
1328 |
+
"eval_loss": 0.19589702785015106,
|
1329 |
+
"eval_na_accuracy": 0.8505154848098755,
|
1330 |
+
"eval_ordinal_accuracy": 0.6974055767059326,
|
1331 |
+
"eval_ordinal_mae": 0.4036160707473755,
|
1332 |
+
"eval_runtime": 176.1463,
|
1333 |
+
"eval_samples_per_second": 25.405,
|
1334 |
+
"eval_steps_per_second": 3.179,
|
1335 |
+
"step": 3400
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 1.24,
|
1339 |
+
"grad_norm": 2.206535577774048,
|
1340 |
+
"learning_rate": 7.655968265416517e-06,
|
1341 |
+
"loss": 0.1523,
|
1342 |
+
"step": 3425
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 1.24,
|
1346 |
+
"grad_norm": 2.8195924758911133,
|
1347 |
+
"learning_rate": 7.565813198701768e-06,
|
1348 |
+
"loss": 0.1357,
|
1349 |
+
"step": 3450
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 1.25,
|
1353 |
+
"grad_norm": 1.383612871170044,
|
1354 |
+
"learning_rate": 7.475658131987018e-06,
|
1355 |
+
"loss": 0.1262,
|
1356 |
+
"step": 3475
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 1.26,
|
1360 |
+
"grad_norm": 1.5167522430419922,
|
1361 |
+
"learning_rate": 7.385503065272269e-06,
|
1362 |
+
"loss": 0.0929,
|
1363 |
+
"step": 3500
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 1.26,
|
1367 |
+
"eval_loss": 0.19685061275959015,
|
1368 |
+
"eval_na_accuracy": 0.8453608155250549,
|
1369 |
+
"eval_ordinal_accuracy": 0.6976624727249146,
|
1370 |
+
"eval_ordinal_mae": 0.4020155370235443,
|
1371 |
+
"eval_runtime": 170.2776,
|
1372 |
+
"eval_samples_per_second": 26.281,
|
1373 |
+
"eval_steps_per_second": 3.289,
|
1374 |
+
"step": 3500
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 1.27,
|
1378 |
+
"grad_norm": 0.9208484888076782,
|
1379 |
+
"learning_rate": 7.295347998557519e-06,
|
1380 |
+
"loss": 0.1193,
|
1381 |
+
"step": 3525
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 1.28,
|
1385 |
+
"grad_norm": 1.8087962865829468,
|
1386 |
+
"learning_rate": 7.205192931842771e-06,
|
1387 |
+
"loss": 0.1109,
|
1388 |
+
"step": 3550
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 1.29,
|
1392 |
+
"grad_norm": 1.2812789678573608,
|
1393 |
+
"learning_rate": 7.115037865128021e-06,
|
1394 |
+
"loss": 0.1778,
|
1395 |
+
"step": 3575
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 1.3,
|
1399 |
+
"grad_norm": 0.8966251015663147,
|
1400 |
+
"learning_rate": 7.0248827984132715e-06,
|
1401 |
+
"loss": 0.1135,
|
1402 |
+
"step": 3600
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 1.3,
|
1406 |
+
"eval_loss": 0.19572028517723083,
|
1407 |
+
"eval_na_accuracy": 0.831615149974823,
|
1408 |
+
"eval_ordinal_accuracy": 0.6981762051582336,
|
1409 |
+
"eval_ordinal_mae": 0.4026087522506714,
|
1410 |
+
"eval_runtime": 171.6945,
|
1411 |
+
"eval_samples_per_second": 26.064,
|
1412 |
+
"eval_steps_per_second": 3.262,
|
1413 |
+
"step": 3600
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 1.31,
|
1417 |
+
"grad_norm": 0.8011260628700256,
|
1418 |
+
"learning_rate": 6.9347277316985216e-06,
|
1419 |
+
"loss": 0.1078,
|
1420 |
+
"step": 3625
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 1.32,
|
1424 |
+
"grad_norm": 0.5675652623176575,
|
1425 |
+
"learning_rate": 6.844572664983773e-06,
|
1426 |
+
"loss": 0.1114,
|
1427 |
+
"step": 3650
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 1.33,
|
1431 |
+
"grad_norm": 1.0519170761108398,
|
1432 |
+
"learning_rate": 6.754417598269023e-06,
|
1433 |
+
"loss": 0.1435,
|
1434 |
+
"step": 3675
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 1.33,
|
1438 |
+
"grad_norm": 1.6201542615890503,
|
1439 |
+
"learning_rate": 6.664262531554274e-06,
|
1440 |
+
"loss": 0.1345,
|
1441 |
+
"step": 3700
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 1.33,
|
1445 |
+
"eval_loss": 0.1987382471561432,
|
1446 |
+
"eval_na_accuracy": 0.8814433217048645,
|
1447 |
+
"eval_ordinal_accuracy": 0.6832776665687561,
|
1448 |
+
"eval_ordinal_mae": 0.4107266366481781,
|
1449 |
+
"eval_runtime": 173.6501,
|
1450 |
+
"eval_samples_per_second": 25.77,
|
1451 |
+
"eval_steps_per_second": 3.225,
|
1452 |
+
"step": 3700
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 1.34,
|
1456 |
+
"grad_norm": 8.633369445800781,
|
1457 |
+
"learning_rate": 6.574107464839524e-06,
|
1458 |
+
"loss": 0.174,
|
1459 |
+
"step": 3725
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 1.35,
|
1463 |
+
"grad_norm": 1.3483631610870361,
|
1464 |
+
"learning_rate": 6.483952398124775e-06,
|
1465 |
+
"loss": 0.1104,
|
1466 |
+
"step": 3750
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 1.36,
|
1470 |
+
"grad_norm": 2.3553450107574463,
|
1471 |
+
"learning_rate": 6.393797331410025e-06,
|
1472 |
+
"loss": 0.1401,
|
1473 |
+
"step": 3775
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 1.37,
|
1477 |
+
"grad_norm": 6.273257732391357,
|
1478 |
+
"learning_rate": 6.303642264695277e-06,
|
1479 |
+
"loss": 0.1198,
|
1480 |
+
"step": 3800
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 1.37,
|
1484 |
+
"eval_loss": 0.19685617089271545,
|
1485 |
+
"eval_na_accuracy": 0.8522336483001709,
|
1486 |
+
"eval_ordinal_accuracy": 0.6992036700248718,
|
1487 |
+
"eval_ordinal_mae": 0.3987964391708374,
|
1488 |
+
"eval_runtime": 176.5744,
|
1489 |
+
"eval_samples_per_second": 25.343,
|
1490 |
+
"eval_steps_per_second": 3.171,
|
1491 |
+
"step": 3800
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 1.38,
|
1495 |
+
"grad_norm": 0.8371938467025757,
|
1496 |
+
"learning_rate": 6.213487197980527e-06,
|
1497 |
+
"loss": 0.1131,
|
1498 |
+
"step": 3825
|
1499 |
+
},
|
1500 |
+
{
|
1501 |
+
"epoch": 1.39,
|
1502 |
+
"grad_norm": 4.081541061401367,
|
1503 |
+
"learning_rate": 6.123332131265778e-06,
|
1504 |
+
"loss": 0.1345,
|
1505 |
+
"step": 3850
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 1.4,
|
1509 |
+
"grad_norm": 2.648669958114624,
|
1510 |
+
"learning_rate": 6.033177064551028e-06,
|
1511 |
+
"loss": 0.1376,
|
1512 |
+
"step": 3875
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 1.41,
|
1516 |
+
"grad_norm": 0.8278887867927551,
|
1517 |
+
"learning_rate": 5.943021997836279e-06,
|
1518 |
+
"loss": 0.1281,
|
1519 |
+
"step": 3900
|
1520 |
+
},
|
1521 |
+
{
|
1522 |
+
"epoch": 1.41,
|
1523 |
+
"eval_loss": 0.19765153527259827,
|
1524 |
+
"eval_na_accuracy": 0.8402062058448792,
|
1525 |
+
"eval_ordinal_accuracy": 0.6966350078582764,
|
1526 |
+
"eval_ordinal_mae": 0.4065835475921631,
|
1527 |
+
"eval_runtime": 174.9801,
|
1528 |
+
"eval_samples_per_second": 25.574,
|
1529 |
+
"eval_steps_per_second": 3.2,
|
1530 |
+
"step": 3900
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 1.42,
|
1534 |
+
"grad_norm": 0.9070908427238464,
|
1535 |
+
"learning_rate": 5.852866931121529e-06,
|
1536 |
+
"loss": 0.1278,
|
1537 |
+
"step": 3925
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 1.42,
|
1541 |
+
"grad_norm": 0.7849236130714417,
|
1542 |
+
"learning_rate": 5.7627118644067805e-06,
|
1543 |
+
"loss": 0.1575,
|
1544 |
+
"step": 3950
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 1.43,
|
1548 |
+
"grad_norm": 2.2364354133605957,
|
1549 |
+
"learning_rate": 5.6761630003606205e-06,
|
1550 |
+
"loss": 0.116,
|
1551 |
+
"step": 3975
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 1.44,
|
1555 |
+
"grad_norm": 0.8048083782196045,
|
1556 |
+
"learning_rate": 5.586007933645871e-06,
|
1557 |
+
"loss": 0.1153,
|
1558 |
+
"step": 4000
|
1559 |
+
},
|
1560 |
+
{
|
1561 |
+
"epoch": 1.44,
|
1562 |
+
"eval_loss": 0.20141063630580902,
|
1563 |
+
"eval_na_accuracy": 0.8436425924301147,
|
1564 |
+
"eval_ordinal_accuracy": 0.693552553653717,
|
1565 |
+
"eval_ordinal_mae": 0.4091172218322754,
|
1566 |
+
"eval_runtime": 175.0141,
|
1567 |
+
"eval_samples_per_second": 25.569,
|
1568 |
+
"eval_steps_per_second": 3.2,
|
1569 |
+
"step": 4000
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 1.45,
|
1573 |
+
"grad_norm": 1.209535002708435,
|
1574 |
+
"learning_rate": 5.495852866931121e-06,
|
1575 |
+
"loss": 0.106,
|
1576 |
+
"step": 4025
|
1577 |
+
},
|
1578 |
+
{
|
1579 |
+
"epoch": 1.46,
|
1580 |
+
"grad_norm": 3.71276593208313,
|
1581 |
+
"learning_rate": 5.405697800216373e-06,
|
1582 |
+
"loss": 0.1316,
|
1583 |
+
"step": 4050
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 1.47,
|
1587 |
+
"grad_norm": 18.610342025756836,
|
1588 |
+
"learning_rate": 5.315542733501623e-06,
|
1589 |
+
"loss": 0.132,
|
1590 |
+
"step": 4075
|
1591 |
+
},
|
1592 |
+
{
|
1593 |
+
"epoch": 1.48,
|
1594 |
+
"grad_norm": 2.119901180267334,
|
1595 |
+
"learning_rate": 5.225387666786874e-06,
|
1596 |
+
"loss": 0.1485,
|
1597 |
+
"step": 4100
|
1598 |
+
},
|
1599 |
+
{
|
1600 |
+
"epoch": 1.48,
|
1601 |
+
"eval_loss": 0.19648495316505432,
|
1602 |
+
"eval_na_accuracy": 0.838487982749939,
|
1603 |
+
"eval_ordinal_accuracy": 0.7038273811340332,
|
1604 |
+
"eval_ordinal_mae": 0.39893215894699097,
|
1605 |
+
"eval_runtime": 174.9887,
|
1606 |
+
"eval_samples_per_second": 25.573,
|
1607 |
+
"eval_steps_per_second": 3.2,
|
1608 |
+
"step": 4100
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 1.49,
|
1612 |
+
"grad_norm": 1.489436388015747,
|
1613 |
+
"learning_rate": 5.135232600072124e-06,
|
1614 |
+
"loss": 0.1158,
|
1615 |
+
"step": 4125
|
1616 |
+
},
|
1617 |
+
{
|
1618 |
+
"epoch": 1.5,
|
1619 |
+
"grad_norm": 3.2724928855895996,
|
1620 |
+
"learning_rate": 5.045077533357375e-06,
|
1621 |
+
"loss": 0.1098,
|
1622 |
+
"step": 4150
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 1.51,
|
1626 |
+
"grad_norm": 1.0074132680892944,
|
1627 |
+
"learning_rate": 4.954922466642626e-06,
|
1628 |
+
"loss": 0.1094,
|
1629 |
+
"step": 4175
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 1.51,
|
1633 |
+
"grad_norm": 0.7578648924827576,
|
1634 |
+
"learning_rate": 4.864767399927877e-06,
|
1635 |
+
"loss": 0.1292,
|
1636 |
+
"step": 4200
|
1637 |
+
},
|
1638 |
+
{
|
1639 |
+
"epoch": 1.51,
|
1640 |
+
"eval_loss": 0.19693247973918915,
|
1641 |
+
"eval_na_accuracy": 0.8470790386199951,
|
1642 |
+
"eval_ordinal_accuracy": 0.7030567526817322,
|
1643 |
+
"eval_ordinal_mae": 0.39781150221824646,
|
1644 |
+
"eval_runtime": 173.0859,
|
1645 |
+
"eval_samples_per_second": 25.854,
|
1646 |
+
"eval_steps_per_second": 3.235,
|
1647 |
+
"step": 4200
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 1.52,
|
1651 |
+
"grad_norm": 3.7381861209869385,
|
1652 |
+
"learning_rate": 4.774612333213128e-06,
|
1653 |
+
"loss": 0.1309,
|
1654 |
+
"step": 4225
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 1.53,
|
1658 |
+
"grad_norm": 0.8151502013206482,
|
1659 |
+
"learning_rate": 4.684457266498378e-06,
|
1660 |
+
"loss": 0.1428,
|
1661 |
+
"step": 4250
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 1.54,
|
1665 |
+
"grad_norm": 0.9021445512771606,
|
1666 |
+
"learning_rate": 4.5943021997836285e-06,
|
1667 |
+
"loss": 0.1104,
|
1668 |
+
"step": 4275
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 1.55,
|
1672 |
+
"grad_norm": 3.8359127044677734,
|
1673 |
+
"learning_rate": 4.5041471330688794e-06,
|
1674 |
+
"loss": 0.1233,
|
1675 |
+
"step": 4300
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 1.55,
|
1679 |
+
"eval_loss": 0.1989138424396515,
|
1680 |
+
"eval_na_accuracy": 0.8659793734550476,
|
1681 |
+
"eval_ordinal_accuracy": 0.6950937509536743,
|
1682 |
+
"eval_ordinal_mae": 0.39926186203956604,
|
1683 |
+
"eval_runtime": 173.9,
|
1684 |
+
"eval_samples_per_second": 25.733,
|
1685 |
+
"eval_steps_per_second": 3.22,
|
1686 |
+
"step": 4300
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 1.56,
|
1690 |
+
"grad_norm": 2.0737252235412598,
|
1691 |
+
"learning_rate": 4.4139920663541295e-06,
|
1692 |
+
"loss": 0.1343,
|
1693 |
+
"step": 4325
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 1.57,
|
1697 |
+
"grad_norm": 0.8500555753707886,
|
1698 |
+
"learning_rate": 4.32383699963938e-06,
|
1699 |
+
"loss": 0.1274,
|
1700 |
+
"step": 4350
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 1.58,
|
1704 |
+
"grad_norm": 4.984882354736328,
|
1705 |
+
"learning_rate": 4.233681932924631e-06,
|
1706 |
+
"loss": 0.1131,
|
1707 |
+
"step": 4375
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 1.59,
|
1711 |
+
"grad_norm": 0.8260248899459839,
|
1712 |
+
"learning_rate": 4.143526866209881e-06,
|
1713 |
+
"loss": 0.1128,
|
1714 |
+
"step": 4400
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 1.59,
|
1718 |
+
"eval_loss": 0.1998443454504013,
|
1719 |
+
"eval_na_accuracy": 0.8522336483001709,
|
1720 |
+
"eval_ordinal_accuracy": 0.6971487402915955,
|
1721 |
+
"eval_ordinal_mae": 0.391990065574646,
|
1722 |
+
"eval_runtime": 175.0388,
|
1723 |
+
"eval_samples_per_second": 25.566,
|
1724 |
+
"eval_steps_per_second": 3.199,
|
1725 |
+
"step": 4400
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 1.6,
|
1729 |
+
"grad_norm": 0.7347471117973328,
|
1730 |
+
"learning_rate": 4.053371799495132e-06,
|
1731 |
+
"loss": 0.1095,
|
1732 |
+
"step": 4425
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 1.6,
|
1736 |
+
"grad_norm": 0.6527581810951233,
|
1737 |
+
"learning_rate": 3.963216732780383e-06,
|
1738 |
+
"loss": 0.1627,
|
1739 |
+
"step": 4450
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 1.61,
|
1743 |
+
"grad_norm": 1.0017273426055908,
|
1744 |
+
"learning_rate": 3.873061666065633e-06,
|
1745 |
+
"loss": 0.1047,
|
1746 |
+
"step": 4475
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 1.62,
|
1750 |
+
"grad_norm": 1.7798997163772583,
|
1751 |
+
"learning_rate": 3.782906599350884e-06,
|
1752 |
+
"loss": 0.0964,
|
1753 |
+
"step": 4500
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 1.62,
|
1757 |
+
"eval_loss": 0.20046481490135193,
|
1758 |
+
"eval_na_accuracy": 0.8625429272651672,
|
1759 |
+
"eval_ordinal_accuracy": 0.6981762051582336,
|
1760 |
+
"eval_ordinal_mae": 0.39257487654685974,
|
1761 |
+
"eval_runtime": 174.4806,
|
1762 |
+
"eval_samples_per_second": 25.648,
|
1763 |
+
"eval_steps_per_second": 3.21,
|
1764 |
+
"step": 4500
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 1.63,
|
1768 |
+
"grad_norm": 0.8608025312423706,
|
1769 |
+
"learning_rate": 3.6927515326361344e-06,
|
1770 |
+
"loss": 0.0974,
|
1771 |
+
"step": 4525
|
1772 |
+
},
|
1773 |
+
{
|
1774 |
+
"epoch": 1.64,
|
1775 |
+
"grad_norm": 0.5464763641357422,
|
1776 |
+
"learning_rate": 3.6025964659213853e-06,
|
1777 |
+
"loss": 0.1224,
|
1778 |
+
"step": 4550
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 1.65,
|
1782 |
+
"grad_norm": 1.151129961013794,
|
1783 |
+
"learning_rate": 3.5124413992066358e-06,
|
1784 |
+
"loss": 0.1514,
|
1785 |
+
"step": 4575
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 1.66,
|
1789 |
+
"grad_norm": 0.5751986503601074,
|
1790 |
+
"learning_rate": 3.4222863324918867e-06,
|
1791 |
+
"loss": 0.1184,
|
1792 |
+
"step": 4600
|
1793 |
+
},
|
1794 |
+
{
|
1795 |
+
"epoch": 1.66,
|
1796 |
+
"eval_loss": 0.20076720416545868,
|
1797 |
+
"eval_na_accuracy": 0.8711340427398682,
|
1798 |
+
"eval_ordinal_accuracy": 0.6968918442726135,
|
1799 |
+
"eval_ordinal_mae": 0.3860225975513458,
|
1800 |
+
"eval_runtime": 175.6222,
|
1801 |
+
"eval_samples_per_second": 25.481,
|
1802 |
+
"eval_steps_per_second": 3.189,
|
1803 |
+
"step": 4600
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 1.67,
|
1807 |
+
"grad_norm": 0.8153491020202637,
|
1808 |
+
"learning_rate": 3.332131265777137e-06,
|
1809 |
+
"loss": 0.1344,
|
1810 |
+
"step": 4625
|
1811 |
+
},
|
1812 |
+
{
|
1813 |
+
"epoch": 1.68,
|
1814 |
+
"grad_norm": 1.3030270338058472,
|
1815 |
+
"learning_rate": 3.2419761990623876e-06,
|
1816 |
+
"loss": 0.136,
|
1817 |
+
"step": 4650
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 1.69,
|
1821 |
+
"grad_norm": 6.30877685546875,
|
1822 |
+
"learning_rate": 3.1518211323476385e-06,
|
1823 |
+
"loss": 0.1224,
|
1824 |
+
"step": 4675
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 1.69,
|
1828 |
+
"grad_norm": 4.972422122955322,
|
1829 |
+
"learning_rate": 3.061666065632889e-06,
|
1830 |
+
"loss": 0.108,
|
1831 |
+
"step": 4700
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"epoch": 1.69,
|
1835 |
+
"eval_loss": 0.19936376810073853,
|
1836 |
+
"eval_na_accuracy": 0.8573883175849915,
|
1837 |
+
"eval_ordinal_accuracy": 0.702029287815094,
|
1838 |
+
"eval_ordinal_mae": 0.39070162177085876,
|
1839 |
+
"eval_runtime": 174.219,
|
1840 |
+
"eval_samples_per_second": 25.686,
|
1841 |
+
"eval_steps_per_second": 3.214,
|
1842 |
+
"step": 4700
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 1.7,
|
1846 |
+
"grad_norm": 1.4122976064682007,
|
1847 |
+
"learning_rate": 2.9715109989181394e-06,
|
1848 |
+
"loss": 0.1496,
|
1849 |
+
"step": 4725
|
1850 |
+
},
|
1851 |
+
{
|
1852 |
+
"epoch": 1.71,
|
1853 |
+
"grad_norm": 2.4173316955566406,
|
1854 |
+
"learning_rate": 2.8813559322033903e-06,
|
1855 |
+
"loss": 0.1276,
|
1856 |
+
"step": 4750
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 1.72,
|
1860 |
+
"grad_norm": 1.0301971435546875,
|
1861 |
+
"learning_rate": 2.7912008654886407e-06,
|
1862 |
+
"loss": 0.1315,
|
1863 |
+
"step": 4775
|
1864 |
+
},
|
1865 |
+
{
|
1866 |
+
"epoch": 1.73,
|
1867 |
+
"grad_norm": 0.8369082808494568,
|
1868 |
+
"learning_rate": 2.701045798773891e-06,
|
1869 |
+
"loss": 0.129,
|
1870 |
+
"step": 4800
|
1871 |
+
},
|
1872 |
+
{
|
1873 |
+
"epoch": 1.73,
|
1874 |
+
"eval_loss": 0.19854028522968292,
|
1875 |
+
"eval_na_accuracy": 0.8591065406799316,
|
1876 |
+
"eval_ordinal_accuracy": 0.7033136487007141,
|
1877 |
+
"eval_ordinal_mae": 0.3896414041519165,
|
1878 |
+
"eval_runtime": 176.1539,
|
1879 |
+
"eval_samples_per_second": 25.404,
|
1880 |
+
"eval_steps_per_second": 3.179,
|
1881 |
+
"step": 4800
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 1.74,
|
1885 |
+
"grad_norm": 3.947204113006592,
|
1886 |
+
"learning_rate": 2.610890732059142e-06,
|
1887 |
+
"loss": 0.1106,
|
1888 |
+
"step": 4825
|
1889 |
+
},
|
1890 |
+
{
|
1891 |
+
"epoch": 1.75,
|
1892 |
+
"grad_norm": 2.09318470954895,
|
1893 |
+
"learning_rate": 2.5207356653443925e-06,
|
1894 |
+
"loss": 0.164,
|
1895 |
+
"step": 4850
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 1.76,
|
1899 |
+
"grad_norm": 0.7661357522010803,
|
1900 |
+
"learning_rate": 2.4305805986296434e-06,
|
1901 |
+
"loss": 0.1214,
|
1902 |
+
"step": 4875
|
1903 |
+
},
|
1904 |
+
{
|
1905 |
+
"epoch": 1.77,
|
1906 |
+
"grad_norm": 0.4803534746170044,
|
1907 |
+
"learning_rate": 2.340425531914894e-06,
|
1908 |
+
"loss": 0.1396,
|
1909 |
+
"step": 4900
|
1910 |
+
},
|
1911 |
+
{
|
1912 |
+
"epoch": 1.77,
|
1913 |
+
"eval_loss": 0.19975444674491882,
|
1914 |
+
"eval_na_accuracy": 0.8573883175849915,
|
1915 |
+
"eval_ordinal_accuracy": 0.6984331011772156,
|
1916 |
+
"eval_ordinal_mae": 0.3833589553833008,
|
1917 |
+
"eval_runtime": 176.3204,
|
1918 |
+
"eval_samples_per_second": 25.38,
|
1919 |
+
"eval_steps_per_second": 3.176,
|
1920 |
+
"step": 4900
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 1.78,
|
1924 |
+
"grad_norm": 0.7548712491989136,
|
1925 |
+
"learning_rate": 2.2502704652001443e-06,
|
1926 |
+
"loss": 0.0977,
|
1927 |
+
"step": 4925
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 1.79,
|
1931 |
+
"grad_norm": 1.906633734703064,
|
1932 |
+
"learning_rate": 2.1601153984853952e-06,
|
1933 |
+
"loss": 0.1385,
|
1934 |
+
"step": 4950
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 1.79,
|
1938 |
+
"grad_norm": 0.6955749988555908,
|
1939 |
+
"learning_rate": 2.0699603317706457e-06,
|
1940 |
+
"loss": 0.1017,
|
1941 |
+
"step": 4975
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 1.8,
|
1945 |
+
"grad_norm": 6.211479663848877,
|
1946 |
+
"learning_rate": 1.979805265055896e-06,
|
1947 |
+
"loss": 0.1323,
|
1948 |
+
"step": 5000
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 1.8,
|
1952 |
+
"eval_loss": 0.19856412708759308,
|
1953 |
+
"eval_na_accuracy": 0.8453608155250549,
|
1954 |
+
"eval_ordinal_accuracy": 0.7051117420196533,
|
1955 |
+
"eval_ordinal_mae": 0.3843817710876465,
|
1956 |
+
"eval_runtime": 173.9748,
|
1957 |
+
"eval_samples_per_second": 25.722,
|
1958 |
+
"eval_steps_per_second": 3.219,
|
1959 |
+
"step": 5000
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 1.81,
|
1963 |
+
"grad_norm": 0.5422704219818115,
|
1964 |
+
"learning_rate": 1.889650198341147e-06,
|
1965 |
+
"loss": 0.1367,
|
1966 |
+
"step": 5025
|
1967 |
+
},
|
1968 |
+
{
|
1969 |
+
"epoch": 1.82,
|
1970 |
+
"grad_norm": 2.782160997390747,
|
1971 |
+
"learning_rate": 1.7994951316263975e-06,
|
1972 |
+
"loss": 0.1002,
|
1973 |
+
"step": 5050
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 1.83,
|
1977 |
+
"grad_norm": 4.336767673492432,
|
1978 |
+
"learning_rate": 1.7093400649116482e-06,
|
1979 |
+
"loss": 0.1407,
|
1980 |
+
"step": 5075
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 1.84,
|
1984 |
+
"grad_norm": 3.1643247604370117,
|
1985 |
+
"learning_rate": 1.6191849981968988e-06,
|
1986 |
+
"loss": 0.1079,
|
1987 |
+
"step": 5100
|
1988 |
+
},
|
1989 |
+
{
|
1990 |
+
"epoch": 1.84,
|
1991 |
+
"eval_loss": 0.19739079475402832,
|
1992 |
+
"eval_na_accuracy": 0.8402062058448792,
|
1993 |
+
"eval_ordinal_accuracy": 0.7053686380386353,
|
1994 |
+
"eval_ordinal_mae": 0.3832775950431824,
|
1995 |
+
"eval_runtime": 174.8648,
|
1996 |
+
"eval_samples_per_second": 25.591,
|
1997 |
+
"eval_steps_per_second": 3.202,
|
1998 |
+
"step": 5100
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 1.85,
|
2002 |
+
"grad_norm": 5.217372894287109,
|
2003 |
+
"learning_rate": 1.5290299314821493e-06,
|
2004 |
+
"loss": 0.122,
|
2005 |
+
"step": 5125
|
2006 |
+
},
|
2007 |
+
{
|
2008 |
+
"epoch": 1.86,
|
2009 |
+
"grad_norm": 4.001213073730469,
|
2010 |
+
"learning_rate": 1.4388748647674e-06,
|
2011 |
+
"loss": 0.1102,
|
2012 |
+
"step": 5150
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 1.87,
|
2016 |
+
"grad_norm": 2.418731451034546,
|
2017 |
+
"learning_rate": 1.3487197980526506e-06,
|
2018 |
+
"loss": 0.1117,
|
2019 |
+
"step": 5175
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 1.88,
|
2023 |
+
"grad_norm": 1.181628704071045,
|
2024 |
+
"learning_rate": 1.2585647313379013e-06,
|
2025 |
+
"loss": 0.0802,
|
2026 |
+
"step": 5200
|
2027 |
+
},
|
2028 |
+
{
|
2029 |
+
"epoch": 1.88,
|
2030 |
+
"eval_loss": 0.19647686183452606,
|
2031 |
+
"eval_na_accuracy": 0.8487972617149353,
|
2032 |
+
"eval_ordinal_accuracy": 0.7074235677719116,
|
2033 |
+
"eval_ordinal_mae": 0.38217073678970337,
|
2034 |
+
"eval_runtime": 175.4662,
|
2035 |
+
"eval_samples_per_second": 25.503,
|
2036 |
+
"eval_steps_per_second": 3.191,
|
2037 |
+
"step": 5200
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 1.88,
|
2041 |
+
"grad_norm": 0.654973030090332,
|
2042 |
+
"learning_rate": 1.1684096646231518e-06,
|
2043 |
+
"loss": 0.1139,
|
2044 |
+
"step": 5225
|
2045 |
+
},
|
2046 |
+
{
|
2047 |
+
"epoch": 1.89,
|
2048 |
+
"grad_norm": 0.66736900806427,
|
2049 |
+
"learning_rate": 1.0782545979084025e-06,
|
2050 |
+
"loss": 0.1099,
|
2051 |
+
"step": 5250
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 1.9,
|
2055 |
+
"grad_norm": 0.9291324615478516,
|
2056 |
+
"learning_rate": 9.880995311936533e-07,
|
2057 |
+
"loss": 0.1233,
|
2058 |
+
"step": 5275
|
2059 |
+
},
|
2060 |
+
{
|
2061 |
+
"epoch": 1.91,
|
2062 |
+
"grad_norm": 0.864493191242218,
|
2063 |
+
"learning_rate": 8.979444644789038e-07,
|
2064 |
+
"loss": 0.1391,
|
2065 |
+
"step": 5300
|
2066 |
+
},
|
2067 |
+
{
|
2068 |
+
"epoch": 1.91,
|
2069 |
+
"eval_loss": 0.19748477637767792,
|
2070 |
+
"eval_na_accuracy": 0.8453608155250549,
|
2071 |
+
"eval_ordinal_accuracy": 0.7051117420196533,
|
2072 |
+
"eval_ordinal_mae": 0.3809069097042084,
|
2073 |
+
"eval_runtime": 174.5451,
|
2074 |
+
"eval_samples_per_second": 25.638,
|
2075 |
+
"eval_steps_per_second": 3.208,
|
2076 |
+
"step": 5300
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 1.92,
|
2080 |
+
"grad_norm": 0.844887912273407,
|
2081 |
+
"learning_rate": 8.077893977641545e-07,
|
2082 |
+
"loss": 0.1364,
|
2083 |
+
"step": 5325
|
2084 |
+
},
|
2085 |
+
{
|
2086 |
+
"epoch": 1.93,
|
2087 |
+
"grad_norm": 0.7487301230430603,
|
2088 |
+
"learning_rate": 7.17634331049405e-07,
|
2089 |
+
"loss": 0.1137,
|
2090 |
+
"step": 5350
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 1.94,
|
2094 |
+
"grad_norm": 3.6033549308776855,
|
2095 |
+
"learning_rate": 6.274792643346557e-07,
|
2096 |
+
"loss": 0.1508,
|
2097 |
+
"step": 5375
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 1.95,
|
2101 |
+
"grad_norm": 0.7312902212142944,
|
2102 |
+
"learning_rate": 5.373241976199063e-07,
|
2103 |
+
"loss": 0.1183,
|
2104 |
+
"step": 5400
|
2105 |
+
},
|
2106 |
+
{
|
2107 |
+
"epoch": 1.95,
|
2108 |
+
"eval_loss": 0.19734890758991241,
|
2109 |
+
"eval_na_accuracy": 0.8350515365600586,
|
2110 |
+
"eval_ordinal_accuracy": 0.7087079286575317,
|
2111 |
+
"eval_ordinal_mae": 0.38272929191589355,
|
2112 |
+
"eval_runtime": 176.207,
|
2113 |
+
"eval_samples_per_second": 25.396,
|
2114 |
+
"eval_steps_per_second": 3.178,
|
2115 |
+
"step": 5400
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 1.96,
|
2119 |
+
"grad_norm": 0.859944760799408,
|
2120 |
+
"learning_rate": 4.4716913090515695e-07,
|
2121 |
+
"loss": 0.1125,
|
2122 |
+
"step": 5425
|
2123 |
+
},
|
2124 |
+
{
|
2125 |
+
"epoch": 1.97,
|
2126 |
+
"grad_norm": 0.7725034952163696,
|
2127 |
+
"learning_rate": 3.5701406419040757e-07,
|
2128 |
+
"loss": 0.1009,
|
2129 |
+
"step": 5450
|
2130 |
+
},
|
2131 |
+
{
|
2132 |
+
"epoch": 1.97,
|
2133 |
+
"grad_norm": 8.944540977478027,
|
2134 |
+
"learning_rate": 2.6685899747565814e-07,
|
2135 |
+
"loss": 0.1115,
|
2136 |
+
"step": 5475
|
2137 |
+
},
|
2138 |
+
{
|
2139 |
+
"epoch": 1.98,
|
2140 |
+
"grad_norm": 0.6212058663368225,
|
2141 |
+
"learning_rate": 1.7670393076090878e-07,
|
2142 |
+
"loss": 0.1368,
|
2143 |
+
"step": 5500
|
2144 |
+
},
|
2145 |
+
{
|
2146 |
+
"epoch": 1.98,
|
2147 |
+
"eval_loss": 0.19747541844844818,
|
2148 |
+
"eval_na_accuracy": 0.8333333134651184,
|
2149 |
+
"eval_ordinal_accuracy": 0.7081941962242126,
|
2150 |
+
"eval_ordinal_mae": 0.38125094771385193,
|
2151 |
+
"eval_runtime": 170.5638,
|
2152 |
+
"eval_samples_per_second": 26.237,
|
2153 |
+
"eval_steps_per_second": 3.283,
|
2154 |
+
"step": 5500
|
2155 |
+
},
|
2156 |
+
{
|
2157 |
+
"epoch": 1.99,
|
2158 |
+
"grad_norm": 0.4366958737373352,
|
2159 |
+
"learning_rate": 8.65488640461594e-08,
|
2160 |
+
"loss": 0.108,
|
2161 |
+
"step": 5525
|
2162 |
+
},
|
2163 |
+
{
|
2164 |
+
"epoch": 2.0,
|
2165 |
+
"step": 5546,
|
2166 |
+
"total_flos": 6.876575711894569e+18,
|
2167 |
+
"train_loss": 0.18857605492557122,
|
2168 |
+
"train_runtime": 17933.6413,
|
2169 |
+
"train_samples_per_second": 4.948,
|
2170 |
+
"train_steps_per_second": 0.309
|
2171 |
+
}
|
2172 |
+
],
|
2173 |
+
"logging_steps": 25,
|
2174 |
+
"max_steps": 5546,
|
2175 |
+
"num_input_tokens_seen": 0,
|
2176 |
+
"num_train_epochs": 2,
|
2177 |
+
"save_steps": 100,
|
2178 |
+
"total_flos": 6.876575711894569e+18,
|
2179 |
+
"train_batch_size": 16,
|
2180 |
+
"trial_name": null,
|
2181 |
+
"trial_params": null
|
2182 |
+
}
|