🍻 cheers
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jun18_14-55-21_70f652825eb2/events.out.tfevents.1718723811.70f652825eb2.179.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1636 -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 |
datasets:
|
| 7 |
- imagefolder
|
|
@@ -22,7 +23,7 @@ model-index:
|
|
| 22 |
metrics:
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
-
value: 0.
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -32,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 32 |
|
| 33 |
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 imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss: 0.
|
| 36 |
-
- Accuracy: 0.
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: google/vit-base-patch16-224-in21k
|
| 4 |
tags:
|
| 5 |
+
- image-classification
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
- imagefolder
|
|
|
|
| 23 |
metrics:
|
| 24 |
- name: Accuracy
|
| 25 |
type: accuracy
|
| 26 |
+
value: 0.920863309352518
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 33 |
|
| 34 |
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 imagefolder dataset.
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
+
- Loss: 0.2671
|
| 37 |
+
- Accuracy: 0.9209
|
| 38 |
|
| 39 |
## Model description
|
| 40 |
|
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 13.0,
|
| 3 |
+
"eval_accuracy": 0.920863309352518,
|
| 4 |
+
"eval_loss": 0.26709362864494324,
|
| 5 |
+
"eval_runtime": 5.1557,
|
| 6 |
+
"eval_samples_per_second": 53.921,
|
| 7 |
+
"eval_steps_per_second": 6.789,
|
| 8 |
+
"total_flos": 2.5134977377120666e+18,
|
| 9 |
+
"train_loss": 0.18042536613924515,
|
| 10 |
+
"train_runtime": 1249.5195,
|
| 11 |
+
"train_samples_per_second": 25.958,
|
| 12 |
+
"train_steps_per_second": 1.623
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 13.0,
|
| 3 |
+
"eval_accuracy": 0.920863309352518,
|
| 4 |
+
"eval_loss": 0.26709362864494324,
|
| 5 |
+
"eval_runtime": 5.1557,
|
| 6 |
+
"eval_samples_per_second": 53.921,
|
| 7 |
+
"eval_steps_per_second": 6.789
|
| 8 |
+
}
|
runs/Jun18_14-55-21_70f652825eb2/events.out.tfevents.1718723811.70f652825eb2.179.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:589fed6ca7dfb5ca8f2f6122d07d929e68a4523bef9c8973f41712a0940e26bd
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 13.0,
|
| 3 |
+
"total_flos": 2.5134977377120666e+18,
|
| 4 |
+
"train_loss": 0.18042536613924515,
|
| 5 |
+
"train_runtime": 1249.5195,
|
| 6 |
+
"train_samples_per_second": 25.958,
|
| 7 |
+
"train_steps_per_second": 1.623
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1636 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.26709362864494324,
|
| 3 |
+
"best_model_checkpoint": "vit-weldclassifyv3/checkpoint-1000",
|
| 4 |
+
"epoch": 13.0,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 2028,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0641025641025641,
|
| 13 |
+
"grad_norm": 1.1238359212875366,
|
| 14 |
+
"learning_rate": 0.0001990138067061144,
|
| 15 |
+
"loss": 1.2792,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.1282051282051282,
|
| 20 |
+
"grad_norm": 1.7609381675720215,
|
| 21 |
+
"learning_rate": 0.0001980276134122288,
|
| 22 |
+
"loss": 1.1608,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.19230769230769232,
|
| 27 |
+
"grad_norm": 1.1302402019500732,
|
| 28 |
+
"learning_rate": 0.0001970414201183432,
|
| 29 |
+
"loss": 1.1137,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.2564102564102564,
|
| 34 |
+
"grad_norm": 3.0818381309509277,
|
| 35 |
+
"learning_rate": 0.0001960552268244576,
|
| 36 |
+
"loss": 1.0182,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.32051282051282054,
|
| 41 |
+
"grad_norm": 1.0849112272262573,
|
| 42 |
+
"learning_rate": 0.000195069033530572,
|
| 43 |
+
"loss": 1.2566,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.38461538461538464,
|
| 48 |
+
"grad_norm": 1.0367400646209717,
|
| 49 |
+
"learning_rate": 0.0001940828402366864,
|
| 50 |
+
"loss": 1.0554,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.44871794871794873,
|
| 55 |
+
"grad_norm": 2.154937744140625,
|
| 56 |
+
"learning_rate": 0.0001930966469428008,
|
| 57 |
+
"loss": 1.0788,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.5128205128205128,
|
| 62 |
+
"grad_norm": 1.1957019567489624,
|
| 63 |
+
"learning_rate": 0.0001921104536489152,
|
| 64 |
+
"loss": 1.2299,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.5769230769230769,
|
| 69 |
+
"grad_norm": 1.3072288036346436,
|
| 70 |
+
"learning_rate": 0.0001911242603550296,
|
| 71 |
+
"loss": 1.0164,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.6410256410256411,
|
| 76 |
+
"grad_norm": 1.340012550354004,
|
| 77 |
+
"learning_rate": 0.00019013806706114398,
|
| 78 |
+
"loss": 0.8398,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.6410256410256411,
|
| 83 |
+
"eval_accuracy": 0.5035971223021583,
|
| 84 |
+
"eval_loss": 1.031232476234436,
|
| 85 |
+
"eval_runtime": 2.6053,
|
| 86 |
+
"eval_samples_per_second": 106.706,
|
| 87 |
+
"eval_steps_per_second": 13.434,
|
| 88 |
+
"step": 100
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.7051282051282052,
|
| 92 |
+
"grad_norm": 2.5044240951538086,
|
| 93 |
+
"learning_rate": 0.00018915187376725837,
|
| 94 |
+
"loss": 0.8484,
|
| 95 |
+
"step": 110
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.7692307692307693,
|
| 99 |
+
"grad_norm": 2.8144619464874268,
|
| 100 |
+
"learning_rate": 0.00018816568047337278,
|
| 101 |
+
"loss": 0.8283,
|
| 102 |
+
"step": 120
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 0.8333333333333334,
|
| 106 |
+
"grad_norm": 1.8459696769714355,
|
| 107 |
+
"learning_rate": 0.0001871794871794872,
|
| 108 |
+
"loss": 0.8201,
|
| 109 |
+
"step": 130
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.8974358974358975,
|
| 113 |
+
"grad_norm": 3.3761656284332275,
|
| 114 |
+
"learning_rate": 0.0001861932938856016,
|
| 115 |
+
"loss": 0.7736,
|
| 116 |
+
"step": 140
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.9615384615384616,
|
| 120 |
+
"grad_norm": 2.285553216934204,
|
| 121 |
+
"learning_rate": 0.00018520710059171598,
|
| 122 |
+
"loss": 0.7505,
|
| 123 |
+
"step": 150
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 1.0256410256410255,
|
| 127 |
+
"grad_norm": 3.3042893409729004,
|
| 128 |
+
"learning_rate": 0.0001842209072978304,
|
| 129 |
+
"loss": 0.6614,
|
| 130 |
+
"step": 160
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 1.0897435897435896,
|
| 134 |
+
"grad_norm": 3.174131393432617,
|
| 135 |
+
"learning_rate": 0.00018323471400394478,
|
| 136 |
+
"loss": 0.7393,
|
| 137 |
+
"step": 170
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.1538461538461537,
|
| 141 |
+
"grad_norm": 2.8764002323150635,
|
| 142 |
+
"learning_rate": 0.00018224852071005917,
|
| 143 |
+
"loss": 0.892,
|
| 144 |
+
"step": 180
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 1.217948717948718,
|
| 148 |
+
"grad_norm": 3.123760223388672,
|
| 149 |
+
"learning_rate": 0.00018126232741617356,
|
| 150 |
+
"loss": 0.7055,
|
| 151 |
+
"step": 190
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 1.282051282051282,
|
| 155 |
+
"grad_norm": 2.54199481010437,
|
| 156 |
+
"learning_rate": 0.00018027613412228798,
|
| 157 |
+
"loss": 0.5613,
|
| 158 |
+
"step": 200
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 1.282051282051282,
|
| 162 |
+
"eval_accuracy": 0.6618705035971223,
|
| 163 |
+
"eval_loss": 0.7067616581916809,
|
| 164 |
+
"eval_runtime": 2.5932,
|
| 165 |
+
"eval_samples_per_second": 107.202,
|
| 166 |
+
"eval_steps_per_second": 13.497,
|
| 167 |
+
"step": 200
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 1.3461538461538463,
|
| 171 |
+
"grad_norm": 4.848214626312256,
|
| 172 |
+
"learning_rate": 0.0001792899408284024,
|
| 173 |
+
"loss": 0.634,
|
| 174 |
+
"step": 210
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 1.4102564102564101,
|
| 178 |
+
"grad_norm": 2.621889352798462,
|
| 179 |
+
"learning_rate": 0.00017830374753451678,
|
| 180 |
+
"loss": 0.6666,
|
| 181 |
+
"step": 220
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 1.4743589743589745,
|
| 185 |
+
"grad_norm": 3.7964868545532227,
|
| 186 |
+
"learning_rate": 0.00017731755424063117,
|
| 187 |
+
"loss": 0.5344,
|
| 188 |
+
"step": 230
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 1.5384615384615383,
|
| 192 |
+
"grad_norm": 3.703036308288574,
|
| 193 |
+
"learning_rate": 0.00017633136094674556,
|
| 194 |
+
"loss": 0.5636,
|
| 195 |
+
"step": 240
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 1.6025641025641026,
|
| 199 |
+
"grad_norm": 3.081791400909424,
|
| 200 |
+
"learning_rate": 0.00017534516765285997,
|
| 201 |
+
"loss": 0.4211,
|
| 202 |
+
"step": 250
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 1.6666666666666665,
|
| 206 |
+
"grad_norm": 3.167443037033081,
|
| 207 |
+
"learning_rate": 0.00017435897435897436,
|
| 208 |
+
"loss": 0.6438,
|
| 209 |
+
"step": 260
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 1.7307692307692308,
|
| 213 |
+
"grad_norm": 6.15064811706543,
|
| 214 |
+
"learning_rate": 0.00017337278106508875,
|
| 215 |
+
"loss": 0.5872,
|
| 216 |
+
"step": 270
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 1.7948717948717947,
|
| 220 |
+
"grad_norm": 2.0773203372955322,
|
| 221 |
+
"learning_rate": 0.00017238658777120317,
|
| 222 |
+
"loss": 0.6172,
|
| 223 |
+
"step": 280
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 1.858974358974359,
|
| 227 |
+
"grad_norm": 3.2962491512298584,
|
| 228 |
+
"learning_rate": 0.00017140039447731758,
|
| 229 |
+
"loss": 0.5252,
|
| 230 |
+
"step": 290
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 1.9230769230769231,
|
| 234 |
+
"grad_norm": 2.557178020477295,
|
| 235 |
+
"learning_rate": 0.00017041420118343197,
|
| 236 |
+
"loss": 0.4296,
|
| 237 |
+
"step": 300
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 1.9230769230769231,
|
| 241 |
+
"eval_accuracy": 0.8309352517985612,
|
| 242 |
+
"eval_loss": 0.4007588028907776,
|
| 243 |
+
"eval_runtime": 2.5685,
|
| 244 |
+
"eval_samples_per_second": 108.233,
|
| 245 |
+
"eval_steps_per_second": 13.626,
|
| 246 |
+
"step": 300
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 1.9871794871794872,
|
| 250 |
+
"grad_norm": 2.061478614807129,
|
| 251 |
+
"learning_rate": 0.00016942800788954636,
|
| 252 |
+
"loss": 0.4041,
|
| 253 |
+
"step": 310
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 2.051282051282051,
|
| 257 |
+
"grad_norm": 2.703629732131958,
|
| 258 |
+
"learning_rate": 0.00016844181459566075,
|
| 259 |
+
"loss": 0.3791,
|
| 260 |
+
"step": 320
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 2.1153846153846154,
|
| 264 |
+
"grad_norm": 0.8648492693901062,
|
| 265 |
+
"learning_rate": 0.00016745562130177514,
|
| 266 |
+
"loss": 0.2943,
|
| 267 |
+
"step": 330
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 2.1794871794871793,
|
| 271 |
+
"grad_norm": 4.140072345733643,
|
| 272 |
+
"learning_rate": 0.00016646942800788956,
|
| 273 |
+
"loss": 0.2485,
|
| 274 |
+
"step": 340
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 2.2435897435897436,
|
| 278 |
+
"grad_norm": 5.02016019821167,
|
| 279 |
+
"learning_rate": 0.00016548323471400394,
|
| 280 |
+
"loss": 0.4904,
|
| 281 |
+
"step": 350
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 2.3076923076923075,
|
| 285 |
+
"grad_norm": 1.8560619354248047,
|
| 286 |
+
"learning_rate": 0.00016449704142011836,
|
| 287 |
+
"loss": 0.3835,
|
| 288 |
+
"step": 360
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 2.371794871794872,
|
| 292 |
+
"grad_norm": 10.23709487915039,
|
| 293 |
+
"learning_rate": 0.00016351084812623275,
|
| 294 |
+
"loss": 0.3015,
|
| 295 |
+
"step": 370
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 2.435897435897436,
|
| 299 |
+
"grad_norm": 5.944732666015625,
|
| 300 |
+
"learning_rate": 0.00016252465483234716,
|
| 301 |
+
"loss": 0.3199,
|
| 302 |
+
"step": 380
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 2.5,
|
| 306 |
+
"grad_norm": 2.0510830879211426,
|
| 307 |
+
"learning_rate": 0.00016153846153846155,
|
| 308 |
+
"loss": 0.2512,
|
| 309 |
+
"step": 390
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 2.564102564102564,
|
| 313 |
+
"grad_norm": 3.4166271686553955,
|
| 314 |
+
"learning_rate": 0.00016055226824457594,
|
| 315 |
+
"loss": 0.3475,
|
| 316 |
+
"step": 400
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 2.564102564102564,
|
| 320 |
+
"eval_accuracy": 0.8812949640287769,
|
| 321 |
+
"eval_loss": 0.33450016379356384,
|
| 322 |
+
"eval_runtime": 3.6169,
|
| 323 |
+
"eval_samples_per_second": 76.862,
|
| 324 |
+
"eval_steps_per_second": 9.677,
|
| 325 |
+
"step": 400
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 2.628205128205128,
|
| 329 |
+
"grad_norm": 6.59075927734375,
|
| 330 |
+
"learning_rate": 0.00015956607495069033,
|
| 331 |
+
"loss": 0.2296,
|
| 332 |
+
"step": 410
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 2.6923076923076925,
|
| 336 |
+
"grad_norm": 2.345207929611206,
|
| 337 |
+
"learning_rate": 0.00015857988165680475,
|
| 338 |
+
"loss": 0.2535,
|
| 339 |
+
"step": 420
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 2.7564102564102564,
|
| 343 |
+
"grad_norm": 3.3290200233459473,
|
| 344 |
+
"learning_rate": 0.00015759368836291914,
|
| 345 |
+
"loss": 0.2902,
|
| 346 |
+
"step": 430
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 2.8205128205128203,
|
| 350 |
+
"grad_norm": 3.723925828933716,
|
| 351 |
+
"learning_rate": 0.00015660749506903355,
|
| 352 |
+
"loss": 0.2591,
|
| 353 |
+
"step": 440
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 2.8846153846153846,
|
| 357 |
+
"grad_norm": 4.227429389953613,
|
| 358 |
+
"learning_rate": 0.00015562130177514794,
|
| 359 |
+
"loss": 0.2915,
|
| 360 |
+
"step": 450
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 2.948717948717949,
|
| 364 |
+
"grad_norm": 3.918539047241211,
|
| 365 |
+
"learning_rate": 0.00015463510848126233,
|
| 366 |
+
"loss": 0.3859,
|
| 367 |
+
"step": 460
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 3.0128205128205128,
|
| 371 |
+
"grad_norm": 2.824794292449951,
|
| 372 |
+
"learning_rate": 0.00015364891518737675,
|
| 373 |
+
"loss": 0.3425,
|
| 374 |
+
"step": 470
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 3.076923076923077,
|
| 378 |
+
"grad_norm": 0.28933683037757874,
|
| 379 |
+
"learning_rate": 0.00015266272189349113,
|
| 380 |
+
"loss": 0.1796,
|
| 381 |
+
"step": 480
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 3.141025641025641,
|
| 385 |
+
"grad_norm": 2.101590394973755,
|
| 386 |
+
"learning_rate": 0.00015167652859960552,
|
| 387 |
+
"loss": 0.1881,
|
| 388 |
+
"step": 490
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 3.2051282051282053,
|
| 392 |
+
"grad_norm": 0.31414705514907837,
|
| 393 |
+
"learning_rate": 0.0001506903353057199,
|
| 394 |
+
"loss": 0.1183,
|
| 395 |
+
"step": 500
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 3.2051282051282053,
|
| 399 |
+
"eval_accuracy": 0.8489208633093526,
|
| 400 |
+
"eval_loss": 0.4293219745159149,
|
| 401 |
+
"eval_runtime": 3.4489,
|
| 402 |
+
"eval_samples_per_second": 80.605,
|
| 403 |
+
"eval_steps_per_second": 10.148,
|
| 404 |
+
"step": 500
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 3.269230769230769,
|
| 408 |
+
"grad_norm": 3.8199613094329834,
|
| 409 |
+
"learning_rate": 0.00014970414201183433,
|
| 410 |
+
"loss": 0.1736,
|
| 411 |
+
"step": 510
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 3.3333333333333335,
|
| 415 |
+
"grad_norm": 1.631716251373291,
|
| 416 |
+
"learning_rate": 0.00014871794871794872,
|
| 417 |
+
"loss": 0.1903,
|
| 418 |
+
"step": 520
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 3.3974358974358974,
|
| 422 |
+
"grad_norm": 3.813403844833374,
|
| 423 |
+
"learning_rate": 0.00014773175542406313,
|
| 424 |
+
"loss": 0.2243,
|
| 425 |
+
"step": 530
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 3.4615384615384617,
|
| 429 |
+
"grad_norm": 6.256704330444336,
|
| 430 |
+
"learning_rate": 0.00014674556213017752,
|
| 431 |
+
"loss": 0.1941,
|
| 432 |
+
"step": 540
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 3.5256410256410255,
|
| 436 |
+
"grad_norm": 6.570198059082031,
|
| 437 |
+
"learning_rate": 0.0001457593688362919,
|
| 438 |
+
"loss": 0.1747,
|
| 439 |
+
"step": 550
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 3.58974358974359,
|
| 443 |
+
"grad_norm": 3.7718803882598877,
|
| 444 |
+
"learning_rate": 0.00014477317554240633,
|
| 445 |
+
"loss": 0.2871,
|
| 446 |
+
"step": 560
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 3.6538461538461537,
|
| 450 |
+
"grad_norm": 3.889697790145874,
|
| 451 |
+
"learning_rate": 0.00014378698224852072,
|
| 452 |
+
"loss": 0.173,
|
| 453 |
+
"step": 570
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 3.717948717948718,
|
| 457 |
+
"grad_norm": 2.5270767211914062,
|
| 458 |
+
"learning_rate": 0.0001428007889546351,
|
| 459 |
+
"loss": 0.2472,
|
| 460 |
+
"step": 580
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 3.782051282051282,
|
| 464 |
+
"grad_norm": 0.2746649980545044,
|
| 465 |
+
"learning_rate": 0.0001418145956607495,
|
| 466 |
+
"loss": 0.1564,
|
| 467 |
+
"step": 590
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 3.8461538461538463,
|
| 471 |
+
"grad_norm": 2.9636824131011963,
|
| 472 |
+
"learning_rate": 0.0001408284023668639,
|
| 473 |
+
"loss": 0.1531,
|
| 474 |
+
"step": 600
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 3.8461538461538463,
|
| 478 |
+
"eval_accuracy": 0.9136690647482014,
|
| 479 |
+
"eval_loss": 0.2748344838619232,
|
| 480 |
+
"eval_runtime": 2.583,
|
| 481 |
+
"eval_samples_per_second": 107.625,
|
| 482 |
+
"eval_steps_per_second": 13.55,
|
| 483 |
+
"step": 600
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 3.91025641025641,
|
| 487 |
+
"grad_norm": 2.8231372833251953,
|
| 488 |
+
"learning_rate": 0.00013984220907297832,
|
| 489 |
+
"loss": 0.1651,
|
| 490 |
+
"step": 610
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 3.9743589743589745,
|
| 494 |
+
"grad_norm": 0.6206132769584656,
|
| 495 |
+
"learning_rate": 0.0001388560157790927,
|
| 496 |
+
"loss": 0.1854,
|
| 497 |
+
"step": 620
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 4.038461538461538,
|
| 501 |
+
"grad_norm": 0.720039427280426,
|
| 502 |
+
"learning_rate": 0.0001378698224852071,
|
| 503 |
+
"loss": 0.2629,
|
| 504 |
+
"step": 630
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 4.102564102564102,
|
| 508 |
+
"grad_norm": 0.28592395782470703,
|
| 509 |
+
"learning_rate": 0.00013688362919132152,
|
| 510 |
+
"loss": 0.0969,
|
| 511 |
+
"step": 640
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 4.166666666666667,
|
| 515 |
+
"grad_norm": 1.0571306943893433,
|
| 516 |
+
"learning_rate": 0.0001358974358974359,
|
| 517 |
+
"loss": 0.0816,
|
| 518 |
+
"step": 650
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 4.230769230769231,
|
| 522 |
+
"grad_norm": 5.520449638366699,
|
| 523 |
+
"learning_rate": 0.0001349112426035503,
|
| 524 |
+
"loss": 0.0997,
|
| 525 |
+
"step": 660
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 4.294871794871795,
|
| 529 |
+
"grad_norm": 10.63196849822998,
|
| 530 |
+
"learning_rate": 0.00013392504930966468,
|
| 531 |
+
"loss": 0.1369,
|
| 532 |
+
"step": 670
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 4.358974358974359,
|
| 536 |
+
"grad_norm": 2.723325729370117,
|
| 537 |
+
"learning_rate": 0.0001329388560157791,
|
| 538 |
+
"loss": 0.0631,
|
| 539 |
+
"step": 680
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 4.423076923076923,
|
| 543 |
+
"grad_norm": 0.07080604135990143,
|
| 544 |
+
"learning_rate": 0.00013195266272189352,
|
| 545 |
+
"loss": 0.1089,
|
| 546 |
+
"step": 690
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 4.487179487179487,
|
| 550 |
+
"grad_norm": 5.3309326171875,
|
| 551 |
+
"learning_rate": 0.0001309664694280079,
|
| 552 |
+
"loss": 0.1174,
|
| 553 |
+
"step": 700
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 4.487179487179487,
|
| 557 |
+
"eval_accuracy": 0.8812949640287769,
|
| 558 |
+
"eval_loss": 0.36486199498176575,
|
| 559 |
+
"eval_runtime": 3.5449,
|
| 560 |
+
"eval_samples_per_second": 78.422,
|
| 561 |
+
"eval_steps_per_second": 9.873,
|
| 562 |
+
"step": 700
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 4.551282051282051,
|
| 566 |
+
"grad_norm": 4.462215900421143,
|
| 567 |
+
"learning_rate": 0.0001299802761341223,
|
| 568 |
+
"loss": 0.1378,
|
| 569 |
+
"step": 710
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 4.615384615384615,
|
| 573 |
+
"grad_norm": 8.144935607910156,
|
| 574 |
+
"learning_rate": 0.00012899408284023668,
|
| 575 |
+
"loss": 0.0917,
|
| 576 |
+
"step": 720
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 4.67948717948718,
|
| 580 |
+
"grad_norm": 0.08221765607595444,
|
| 581 |
+
"learning_rate": 0.0001280078895463511,
|
| 582 |
+
"loss": 0.0562,
|
| 583 |
+
"step": 730
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 4.743589743589744,
|
| 587 |
+
"grad_norm": 8.699402809143066,
|
| 588 |
+
"learning_rate": 0.0001270216962524655,
|
| 589 |
+
"loss": 0.1787,
|
| 590 |
+
"step": 740
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 4.8076923076923075,
|
| 594 |
+
"grad_norm": 7.376129150390625,
|
| 595 |
+
"learning_rate": 0.00012603550295857988,
|
| 596 |
+
"loss": 0.064,
|
| 597 |
+
"step": 750
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 4.871794871794872,
|
| 601 |
+
"grad_norm": 0.08259747177362442,
|
| 602 |
+
"learning_rate": 0.0001250493096646943,
|
| 603 |
+
"loss": 0.0927,
|
| 604 |
+
"step": 760
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 4.935897435897436,
|
| 608 |
+
"grad_norm": 0.08165480941534042,
|
| 609 |
+
"learning_rate": 0.00012406311637080868,
|
| 610 |
+
"loss": 0.1067,
|
| 611 |
+
"step": 770
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 5.0,
|
| 615 |
+
"grad_norm": 0.19699496030807495,
|
| 616 |
+
"learning_rate": 0.0001230769230769231,
|
| 617 |
+
"loss": 0.0974,
|
| 618 |
+
"step": 780
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 5.064102564102564,
|
| 622 |
+
"grad_norm": 3.4025802612304688,
|
| 623 |
+
"learning_rate": 0.00012209072978303749,
|
| 624 |
+
"loss": 0.0977,
|
| 625 |
+
"step": 790
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 5.128205128205128,
|
| 629 |
+
"grad_norm": 2.273251533508301,
|
| 630 |
+
"learning_rate": 0.00012110453648915188,
|
| 631 |
+
"loss": 0.0498,
|
| 632 |
+
"step": 800
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 5.128205128205128,
|
| 636 |
+
"eval_accuracy": 0.8920863309352518,
|
| 637 |
+
"eval_loss": 0.327900767326355,
|
| 638 |
+
"eval_runtime": 3.5689,
|
| 639 |
+
"eval_samples_per_second": 77.895,
|
| 640 |
+
"eval_steps_per_second": 9.807,
|
| 641 |
+
"step": 800
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 5.1923076923076925,
|
| 645 |
+
"grad_norm": 0.624547004699707,
|
| 646 |
+
"learning_rate": 0.00012011834319526626,
|
| 647 |
+
"loss": 0.0821,
|
| 648 |
+
"step": 810
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 5.256410256410256,
|
| 652 |
+
"grad_norm": 3.7610857486724854,
|
| 653 |
+
"learning_rate": 0.00011913214990138068,
|
| 654 |
+
"loss": 0.0481,
|
| 655 |
+
"step": 820
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 5.32051282051282,
|
| 659 |
+
"grad_norm": 0.06995019316673279,
|
| 660 |
+
"learning_rate": 0.00011814595660749508,
|
| 661 |
+
"loss": 0.0117,
|
| 662 |
+
"step": 830
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 5.384615384615385,
|
| 666 |
+
"grad_norm": 0.08295288681983948,
|
| 667 |
+
"learning_rate": 0.00011715976331360947,
|
| 668 |
+
"loss": 0.0122,
|
| 669 |
+
"step": 840
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 5.448717948717949,
|
| 673 |
+
"grad_norm": 0.0509318970143795,
|
| 674 |
+
"learning_rate": 0.00011617357001972386,
|
| 675 |
+
"loss": 0.0447,
|
| 676 |
+
"step": 850
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 5.512820512820513,
|
| 680 |
+
"grad_norm": 0.05534667894244194,
|
| 681 |
+
"learning_rate": 0.00011518737672583828,
|
| 682 |
+
"loss": 0.0786,
|
| 683 |
+
"step": 860
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 5.576923076923077,
|
| 687 |
+
"grad_norm": 0.36779171228408813,
|
| 688 |
+
"learning_rate": 0.00011420118343195268,
|
| 689 |
+
"loss": 0.0427,
|
| 690 |
+
"step": 870
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 5.641025641025641,
|
| 694 |
+
"grad_norm": 0.0412164181470871,
|
| 695 |
+
"learning_rate": 0.00011321499013806707,
|
| 696 |
+
"loss": 0.0151,
|
| 697 |
+
"step": 880
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 5.705128205128205,
|
| 701 |
+
"grad_norm": 0.03488855063915253,
|
| 702 |
+
"learning_rate": 0.00011222879684418146,
|
| 703 |
+
"loss": 0.0331,
|
| 704 |
+
"step": 890
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 5.769230769230769,
|
| 708 |
+
"grad_norm": 5.378381252288818,
|
| 709 |
+
"learning_rate": 0.00011124260355029586,
|
| 710 |
+
"loss": 0.0817,
|
| 711 |
+
"step": 900
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 5.769230769230769,
|
| 715 |
+
"eval_accuracy": 0.935251798561151,
|
| 716 |
+
"eval_loss": 0.27631285786628723,
|
| 717 |
+
"eval_runtime": 3.5274,
|
| 718 |
+
"eval_samples_per_second": 78.812,
|
| 719 |
+
"eval_steps_per_second": 9.922,
|
| 720 |
+
"step": 900
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 5.833333333333333,
|
| 724 |
+
"grad_norm": 0.121369369328022,
|
| 725 |
+
"learning_rate": 0.00011025641025641027,
|
| 726 |
+
"loss": 0.0164,
|
| 727 |
+
"step": 910
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 5.897435897435898,
|
| 731 |
+
"grad_norm": 0.30134713649749756,
|
| 732 |
+
"learning_rate": 0.00010927021696252466,
|
| 733 |
+
"loss": 0.0399,
|
| 734 |
+
"step": 920
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 5.961538461538462,
|
| 738 |
+
"grad_norm": 9.133658409118652,
|
| 739 |
+
"learning_rate": 0.00010828402366863905,
|
| 740 |
+
"loss": 0.0893,
|
| 741 |
+
"step": 930
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 6.0256410256410255,
|
| 745 |
+
"grad_norm": 0.037670884281396866,
|
| 746 |
+
"learning_rate": 0.00010729783037475345,
|
| 747 |
+
"loss": 0.0285,
|
| 748 |
+
"step": 940
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"epoch": 6.089743589743589,
|
| 752 |
+
"grad_norm": 4.902493953704834,
|
| 753 |
+
"learning_rate": 0.00010631163708086787,
|
| 754 |
+
"loss": 0.0796,
|
| 755 |
+
"step": 950
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 6.153846153846154,
|
| 759 |
+
"grad_norm": 6.080508232116699,
|
| 760 |
+
"learning_rate": 0.00010532544378698226,
|
| 761 |
+
"loss": 0.1406,
|
| 762 |
+
"step": 960
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 6.217948717948718,
|
| 766 |
+
"grad_norm": 3.923866033554077,
|
| 767 |
+
"learning_rate": 0.00010433925049309665,
|
| 768 |
+
"loss": 0.0914,
|
| 769 |
+
"step": 970
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 6.282051282051282,
|
| 773 |
+
"grad_norm": 0.9966168999671936,
|
| 774 |
+
"learning_rate": 0.00010335305719921105,
|
| 775 |
+
"loss": 0.0906,
|
| 776 |
+
"step": 980
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 6.346153846153846,
|
| 780 |
+
"grad_norm": 0.2861874997615814,
|
| 781 |
+
"learning_rate": 0.00010236686390532544,
|
| 782 |
+
"loss": 0.0335,
|
| 783 |
+
"step": 990
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 6.410256410256411,
|
| 787 |
+
"grad_norm": 0.030173303559422493,
|
| 788 |
+
"learning_rate": 0.00010138067061143986,
|
| 789 |
+
"loss": 0.0075,
|
| 790 |
+
"step": 1000
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 6.410256410256411,
|
| 794 |
+
"eval_accuracy": 0.920863309352518,
|
| 795 |
+
"eval_loss": 0.26709362864494324,
|
| 796 |
+
"eval_runtime": 2.5656,
|
| 797 |
+
"eval_samples_per_second": 108.358,
|
| 798 |
+
"eval_steps_per_second": 13.642,
|
| 799 |
+
"step": 1000
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 6.4743589743589745,
|
| 803 |
+
"grad_norm": 0.02864202857017517,
|
| 804 |
+
"learning_rate": 0.00010039447731755424,
|
| 805 |
+
"loss": 0.0628,
|
| 806 |
+
"step": 1010
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 6.538461538461538,
|
| 810 |
+
"grad_norm": 0.6442215442657471,
|
| 811 |
+
"learning_rate": 9.940828402366865e-05,
|
| 812 |
+
"loss": 0.0205,
|
| 813 |
+
"step": 1020
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 6.602564102564102,
|
| 817 |
+
"grad_norm": 0.047572050243616104,
|
| 818 |
+
"learning_rate": 9.842209072978305e-05,
|
| 819 |
+
"loss": 0.1029,
|
| 820 |
+
"step": 1030
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 6.666666666666667,
|
| 824 |
+
"grad_norm": 11.545117378234863,
|
| 825 |
+
"learning_rate": 9.743589743589744e-05,
|
| 826 |
+
"loss": 0.0454,
|
| 827 |
+
"step": 1040
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 6.730769230769231,
|
| 831 |
+
"grad_norm": 0.08284212648868561,
|
| 832 |
+
"learning_rate": 9.644970414201184e-05,
|
| 833 |
+
"loss": 0.0059,
|
| 834 |
+
"step": 1050
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 6.794871794871795,
|
| 838 |
+
"grad_norm": 0.19572466611862183,
|
| 839 |
+
"learning_rate": 9.546351084812624e-05,
|
| 840 |
+
"loss": 0.0907,
|
| 841 |
+
"step": 1060
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 6.858974358974359,
|
| 845 |
+
"grad_norm": 0.041858524084091187,
|
| 846 |
+
"learning_rate": 9.447731755424064e-05,
|
| 847 |
+
"loss": 0.0562,
|
| 848 |
+
"step": 1070
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 6.923076923076923,
|
| 852 |
+
"grad_norm": 0.045817919075489044,
|
| 853 |
+
"learning_rate": 9.349112426035503e-05,
|
| 854 |
+
"loss": 0.0262,
|
| 855 |
+
"step": 1080
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 6.987179487179487,
|
| 859 |
+
"grad_norm": 0.14285103976726532,
|
| 860 |
+
"learning_rate": 9.250493096646942e-05,
|
| 861 |
+
"loss": 0.0185,
|
| 862 |
+
"step": 1090
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"epoch": 7.051282051282051,
|
| 866 |
+
"grad_norm": 0.027153167873620987,
|
| 867 |
+
"learning_rate": 9.151873767258384e-05,
|
| 868 |
+
"loss": 0.0265,
|
| 869 |
+
"step": 1100
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"epoch": 7.051282051282051,
|
| 873 |
+
"eval_accuracy": 0.920863309352518,
|
| 874 |
+
"eval_loss": 0.3184675872325897,
|
| 875 |
+
"eval_runtime": 2.4994,
|
| 876 |
+
"eval_samples_per_second": 111.228,
|
| 877 |
+
"eval_steps_per_second": 14.004,
|
| 878 |
+
"step": 1100
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 7.115384615384615,
|
| 882 |
+
"grad_norm": 0.027239225804805756,
|
| 883 |
+
"learning_rate": 9.053254437869823e-05,
|
| 884 |
+
"loss": 0.0629,
|
| 885 |
+
"step": 1110
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 7.17948717948718,
|
| 889 |
+
"grad_norm": 0.02252044342458248,
|
| 890 |
+
"learning_rate": 8.954635108481263e-05,
|
| 891 |
+
"loss": 0.0198,
|
| 892 |
+
"step": 1120
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 7.243589743589744,
|
| 896 |
+
"grad_norm": 0.038163017481565475,
|
| 897 |
+
"learning_rate": 8.856015779092702e-05,
|
| 898 |
+
"loss": 0.0323,
|
| 899 |
+
"step": 1130
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 7.3076923076923075,
|
| 903 |
+
"grad_norm": 0.038108520209789276,
|
| 904 |
+
"learning_rate": 8.757396449704143e-05,
|
| 905 |
+
"loss": 0.0379,
|
| 906 |
+
"step": 1140
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 7.371794871794872,
|
| 910 |
+
"grad_norm": 0.019251950085163116,
|
| 911 |
+
"learning_rate": 8.658777120315582e-05,
|
| 912 |
+
"loss": 0.028,
|
| 913 |
+
"step": 1150
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 7.435897435897436,
|
| 917 |
+
"grad_norm": 0.01974482275545597,
|
| 918 |
+
"learning_rate": 8.560157790927023e-05,
|
| 919 |
+
"loss": 0.0043,
|
| 920 |
+
"step": 1160
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 7.5,
|
| 924 |
+
"grad_norm": 2.0657660961151123,
|
| 925 |
+
"learning_rate": 8.461538461538461e-05,
|
| 926 |
+
"loss": 0.0069,
|
| 927 |
+
"step": 1170
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 7.564102564102564,
|
| 931 |
+
"grad_norm": 0.025256551802158356,
|
| 932 |
+
"learning_rate": 8.362919132149902e-05,
|
| 933 |
+
"loss": 0.0045,
|
| 934 |
+
"step": 1180
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 7.628205128205128,
|
| 938 |
+
"grad_norm": 0.018220046535134315,
|
| 939 |
+
"learning_rate": 8.264299802761342e-05,
|
| 940 |
+
"loss": 0.0038,
|
| 941 |
+
"step": 1190
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 7.6923076923076925,
|
| 945 |
+
"grad_norm": 15.359424591064453,
|
| 946 |
+
"learning_rate": 8.165680473372781e-05,
|
| 947 |
+
"loss": 0.0457,
|
| 948 |
+
"step": 1200
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 7.6923076923076925,
|
| 952 |
+
"eval_accuracy": 0.9100719424460432,
|
| 953 |
+
"eval_loss": 0.37759149074554443,
|
| 954 |
+
"eval_runtime": 3.7105,
|
| 955 |
+
"eval_samples_per_second": 74.922,
|
| 956 |
+
"eval_steps_per_second": 9.433,
|
| 957 |
+
"step": 1200
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 7.756410256410256,
|
| 961 |
+
"grad_norm": 0.017574544996023178,
|
| 962 |
+
"learning_rate": 8.067061143984221e-05,
|
| 963 |
+
"loss": 0.0038,
|
| 964 |
+
"step": 1210
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 7.82051282051282,
|
| 968 |
+
"grad_norm": 0.01818062551319599,
|
| 969 |
+
"learning_rate": 7.968441814595661e-05,
|
| 970 |
+
"loss": 0.004,
|
| 971 |
+
"step": 1220
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 7.884615384615385,
|
| 975 |
+
"grad_norm": 0.024309920147061348,
|
| 976 |
+
"learning_rate": 7.869822485207101e-05,
|
| 977 |
+
"loss": 0.0038,
|
| 978 |
+
"step": 1230
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 7.948717948717949,
|
| 982 |
+
"grad_norm": 0.07784882932901382,
|
| 983 |
+
"learning_rate": 7.77120315581854e-05,
|
| 984 |
+
"loss": 0.0059,
|
| 985 |
+
"step": 1240
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 8.012820512820513,
|
| 989 |
+
"grad_norm": 0.035918813198804855,
|
| 990 |
+
"learning_rate": 7.67258382642998e-05,
|
| 991 |
+
"loss": 0.0047,
|
| 992 |
+
"step": 1250
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 8.076923076923077,
|
| 996 |
+
"grad_norm": 0.35960128903388977,
|
| 997 |
+
"learning_rate": 7.573964497041421e-05,
|
| 998 |
+
"loss": 0.0068,
|
| 999 |
+
"step": 1260
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 8.14102564102564,
|
| 1003 |
+
"grad_norm": 0.015659425407648087,
|
| 1004 |
+
"learning_rate": 7.475345167652861e-05,
|
| 1005 |
+
"loss": 0.0039,
|
| 1006 |
+
"step": 1270
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 8.205128205128204,
|
| 1010 |
+
"grad_norm": 0.01647733524441719,
|
| 1011 |
+
"learning_rate": 7.3767258382643e-05,
|
| 1012 |
+
"loss": 0.0035,
|
| 1013 |
+
"step": 1280
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 8.26923076923077,
|
| 1017 |
+
"grad_norm": 0.015693532302975655,
|
| 1018 |
+
"learning_rate": 7.27810650887574e-05,
|
| 1019 |
+
"loss": 0.0203,
|
| 1020 |
+
"step": 1290
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 8.333333333333334,
|
| 1024 |
+
"grad_norm": 0.01847326196730137,
|
| 1025 |
+
"learning_rate": 7.17948717948718e-05,
|
| 1026 |
+
"loss": 0.0032,
|
| 1027 |
+
"step": 1300
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 8.333333333333334,
|
| 1031 |
+
"eval_accuracy": 0.9388489208633094,
|
| 1032 |
+
"eval_loss": 0.2834855318069458,
|
| 1033 |
+
"eval_runtime": 3.4846,
|
| 1034 |
+
"eval_samples_per_second": 79.78,
|
| 1035 |
+
"eval_steps_per_second": 10.044,
|
| 1036 |
+
"step": 1300
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"epoch": 8.397435897435898,
|
| 1040 |
+
"grad_norm": 0.01613900437951088,
|
| 1041 |
+
"learning_rate": 7.08086785009862e-05,
|
| 1042 |
+
"loss": 0.0055,
|
| 1043 |
+
"step": 1310
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 8.461538461538462,
|
| 1047 |
+
"grad_norm": 0.015385860577225685,
|
| 1048 |
+
"learning_rate": 6.98224852071006e-05,
|
| 1049 |
+
"loss": 0.0118,
|
| 1050 |
+
"step": 1320
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 8.525641025641026,
|
| 1054 |
+
"grad_norm": 0.014069377444684505,
|
| 1055 |
+
"learning_rate": 6.883629191321498e-05,
|
| 1056 |
+
"loss": 0.0029,
|
| 1057 |
+
"step": 1330
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 8.58974358974359,
|
| 1061 |
+
"grad_norm": 0.015751365572214127,
|
| 1062 |
+
"learning_rate": 6.78500986193294e-05,
|
| 1063 |
+
"loss": 0.0116,
|
| 1064 |
+
"step": 1340
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 8.653846153846153,
|
| 1068 |
+
"grad_norm": 0.0143636055290699,
|
| 1069 |
+
"learning_rate": 6.686390532544379e-05,
|
| 1070 |
+
"loss": 0.0554,
|
| 1071 |
+
"step": 1350
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 8.717948717948717,
|
| 1075 |
+
"grad_norm": 0.015580832026898861,
|
| 1076 |
+
"learning_rate": 6.587771203155819e-05,
|
| 1077 |
+
"loss": 0.0031,
|
| 1078 |
+
"step": 1360
|
| 1079 |
+
},
|
| 1080 |
+
{
|
| 1081 |
+
"epoch": 8.782051282051283,
|
| 1082 |
+
"grad_norm": 0.014274963177740574,
|
| 1083 |
+
"learning_rate": 6.489151873767258e-05,
|
| 1084 |
+
"loss": 0.0029,
|
| 1085 |
+
"step": 1370
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 8.846153846153847,
|
| 1089 |
+
"grad_norm": 0.02313074842095375,
|
| 1090 |
+
"learning_rate": 6.390532544378698e-05,
|
| 1091 |
+
"loss": 0.0339,
|
| 1092 |
+
"step": 1380
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 8.91025641025641,
|
| 1096 |
+
"grad_norm": 1.4907852411270142,
|
| 1097 |
+
"learning_rate": 6.291913214990139e-05,
|
| 1098 |
+
"loss": 0.0046,
|
| 1099 |
+
"step": 1390
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 8.974358974358974,
|
| 1103 |
+
"grad_norm": 0.015585100278258324,
|
| 1104 |
+
"learning_rate": 6.193293885601579e-05,
|
| 1105 |
+
"loss": 0.0027,
|
| 1106 |
+
"step": 1400
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 8.974358974358974,
|
| 1110 |
+
"eval_accuracy": 0.8884892086330936,
|
| 1111 |
+
"eval_loss": 0.5365095734596252,
|
| 1112 |
+
"eval_runtime": 2.5385,
|
| 1113 |
+
"eval_samples_per_second": 109.513,
|
| 1114 |
+
"eval_steps_per_second": 13.788,
|
| 1115 |
+
"step": 1400
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 9.038461538461538,
|
| 1119 |
+
"grad_norm": 0.014531627297401428,
|
| 1120 |
+
"learning_rate": 6.094674556213018e-05,
|
| 1121 |
+
"loss": 0.0253,
|
| 1122 |
+
"step": 1410
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 9.102564102564102,
|
| 1126 |
+
"grad_norm": 0.012606761418282986,
|
| 1127 |
+
"learning_rate": 5.996055226824457e-05,
|
| 1128 |
+
"loss": 0.0031,
|
| 1129 |
+
"step": 1420
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 9.166666666666666,
|
| 1133 |
+
"grad_norm": 0.012980329804122448,
|
| 1134 |
+
"learning_rate": 5.897435897435898e-05,
|
| 1135 |
+
"loss": 0.003,
|
| 1136 |
+
"step": 1430
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 9.23076923076923,
|
| 1140 |
+
"grad_norm": 0.012560625560581684,
|
| 1141 |
+
"learning_rate": 5.798816568047337e-05,
|
| 1142 |
+
"loss": 0.0029,
|
| 1143 |
+
"step": 1440
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 9.294871794871796,
|
| 1147 |
+
"grad_norm": 0.01267662551254034,
|
| 1148 |
+
"learning_rate": 5.700197238658778e-05,
|
| 1149 |
+
"loss": 0.0027,
|
| 1150 |
+
"step": 1450
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 9.35897435897436,
|
| 1154 |
+
"grad_norm": 0.018838873133063316,
|
| 1155 |
+
"learning_rate": 5.601577909270217e-05,
|
| 1156 |
+
"loss": 0.0026,
|
| 1157 |
+
"step": 1460
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 9.423076923076923,
|
| 1161 |
+
"grad_norm": 0.012279819697141647,
|
| 1162 |
+
"learning_rate": 5.502958579881658e-05,
|
| 1163 |
+
"loss": 0.0025,
|
| 1164 |
+
"step": 1470
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 9.487179487179487,
|
| 1168 |
+
"grad_norm": 0.011527939699590206,
|
| 1169 |
+
"learning_rate": 5.4043392504930966e-05,
|
| 1170 |
+
"loss": 0.0023,
|
| 1171 |
+
"step": 1480
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 9.551282051282051,
|
| 1175 |
+
"grad_norm": 0.01282353326678276,
|
| 1176 |
+
"learning_rate": 5.3057199211045375e-05,
|
| 1177 |
+
"loss": 0.0024,
|
| 1178 |
+
"step": 1490
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 9.615384615384615,
|
| 1182 |
+
"grad_norm": 0.012979278340935707,
|
| 1183 |
+
"learning_rate": 5.2071005917159764e-05,
|
| 1184 |
+
"loss": 0.0024,
|
| 1185 |
+
"step": 1500
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 9.615384615384615,
|
| 1189 |
+
"eval_accuracy": 0.9460431654676259,
|
| 1190 |
+
"eval_loss": 0.28174683451652527,
|
| 1191 |
+
"eval_runtime": 2.5662,
|
| 1192 |
+
"eval_samples_per_second": 108.33,
|
| 1193 |
+
"eval_steps_per_second": 13.639,
|
| 1194 |
+
"step": 1500
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 9.679487179487179,
|
| 1198 |
+
"grad_norm": 0.012905549257993698,
|
| 1199 |
+
"learning_rate": 5.1084812623274167e-05,
|
| 1200 |
+
"loss": 0.0023,
|
| 1201 |
+
"step": 1510
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 9.743589743589745,
|
| 1205 |
+
"grad_norm": 0.011163388378918171,
|
| 1206 |
+
"learning_rate": 5.009861932938856e-05,
|
| 1207 |
+
"loss": 0.0023,
|
| 1208 |
+
"step": 1520
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 9.807692307692308,
|
| 1212 |
+
"grad_norm": 0.012818182818591595,
|
| 1213 |
+
"learning_rate": 4.9112426035502965e-05,
|
| 1214 |
+
"loss": 0.0023,
|
| 1215 |
+
"step": 1530
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 9.871794871794872,
|
| 1219 |
+
"grad_norm": 0.012148367241024971,
|
| 1220 |
+
"learning_rate": 4.812623274161736e-05,
|
| 1221 |
+
"loss": 0.0023,
|
| 1222 |
+
"step": 1540
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 9.935897435897436,
|
| 1226 |
+
"grad_norm": 0.012448051013052464,
|
| 1227 |
+
"learning_rate": 4.714003944773176e-05,
|
| 1228 |
+
"loss": 0.0021,
|
| 1229 |
+
"step": 1550
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 10.0,
|
| 1233 |
+
"grad_norm": 0.01428731344640255,
|
| 1234 |
+
"learning_rate": 4.615384615384616e-05,
|
| 1235 |
+
"loss": 0.0024,
|
| 1236 |
+
"step": 1560
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 10.064102564102564,
|
| 1240 |
+
"grad_norm": 0.012622198089957237,
|
| 1241 |
+
"learning_rate": 4.5167652859960554e-05,
|
| 1242 |
+
"loss": 0.0021,
|
| 1243 |
+
"step": 1570
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 10.128205128205128,
|
| 1247 |
+
"grad_norm": 0.011053148657083511,
|
| 1248 |
+
"learning_rate": 4.418145956607495e-05,
|
| 1249 |
+
"loss": 0.0022,
|
| 1250 |
+
"step": 1580
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 10.192307692307692,
|
| 1254 |
+
"grad_norm": 0.010602343827486038,
|
| 1255 |
+
"learning_rate": 4.319526627218935e-05,
|
| 1256 |
+
"loss": 0.0022,
|
| 1257 |
+
"step": 1590
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 10.256410256410255,
|
| 1261 |
+
"grad_norm": 0.012038341723382473,
|
| 1262 |
+
"learning_rate": 4.220907297830375e-05,
|
| 1263 |
+
"loss": 0.0021,
|
| 1264 |
+
"step": 1600
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 10.256410256410255,
|
| 1268 |
+
"eval_accuracy": 0.9460431654676259,
|
| 1269 |
+
"eval_loss": 0.28900742530822754,
|
| 1270 |
+
"eval_runtime": 3.7223,
|
| 1271 |
+
"eval_samples_per_second": 74.686,
|
| 1272 |
+
"eval_steps_per_second": 9.403,
|
| 1273 |
+
"step": 1600
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 10.320512820512821,
|
| 1277 |
+
"grad_norm": 0.010555533692240715,
|
| 1278 |
+
"learning_rate": 4.122287968441815e-05,
|
| 1279 |
+
"loss": 0.0022,
|
| 1280 |
+
"step": 1610
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 10.384615384615385,
|
| 1284 |
+
"grad_norm": 0.013419007882475853,
|
| 1285 |
+
"learning_rate": 4.0236686390532545e-05,
|
| 1286 |
+
"loss": 0.0023,
|
| 1287 |
+
"step": 1620
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 10.448717948717949,
|
| 1291 |
+
"grad_norm": 0.009542490355670452,
|
| 1292 |
+
"learning_rate": 3.925049309664695e-05,
|
| 1293 |
+
"loss": 0.0021,
|
| 1294 |
+
"step": 1630
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 10.512820512820513,
|
| 1298 |
+
"grad_norm": 0.01066176313906908,
|
| 1299 |
+
"learning_rate": 3.826429980276134e-05,
|
| 1300 |
+
"loss": 0.0021,
|
| 1301 |
+
"step": 1640
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 10.576923076923077,
|
| 1305 |
+
"grad_norm": 0.009535272605717182,
|
| 1306 |
+
"learning_rate": 3.7278106508875746e-05,
|
| 1307 |
+
"loss": 0.002,
|
| 1308 |
+
"step": 1650
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 10.64102564102564,
|
| 1312 |
+
"grad_norm": 0.010441762395203114,
|
| 1313 |
+
"learning_rate": 3.629191321499014e-05,
|
| 1314 |
+
"loss": 0.0021,
|
| 1315 |
+
"step": 1660
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 10.705128205128204,
|
| 1319 |
+
"grad_norm": 0.009478352032601833,
|
| 1320 |
+
"learning_rate": 3.5305719921104544e-05,
|
| 1321 |
+
"loss": 0.002,
|
| 1322 |
+
"step": 1670
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 10.76923076923077,
|
| 1326 |
+
"grad_norm": 0.009695933200418949,
|
| 1327 |
+
"learning_rate": 3.431952662721893e-05,
|
| 1328 |
+
"loss": 0.002,
|
| 1329 |
+
"step": 1680
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 10.833333333333334,
|
| 1333 |
+
"grad_norm": 0.009181487374007702,
|
| 1334 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 1335 |
+
"loss": 0.0019,
|
| 1336 |
+
"step": 1690
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 10.897435897435898,
|
| 1340 |
+
"grad_norm": 0.010168403387069702,
|
| 1341 |
+
"learning_rate": 3.234714003944773e-05,
|
| 1342 |
+
"loss": 0.002,
|
| 1343 |
+
"step": 1700
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 10.897435897435898,
|
| 1347 |
+
"eval_accuracy": 0.9460431654676259,
|
| 1348 |
+
"eval_loss": 0.29342445731163025,
|
| 1349 |
+
"eval_runtime": 2.6399,
|
| 1350 |
+
"eval_samples_per_second": 105.306,
|
| 1351 |
+
"eval_steps_per_second": 13.258,
|
| 1352 |
+
"step": 1700
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 10.961538461538462,
|
| 1356 |
+
"grad_norm": 0.012188075110316277,
|
| 1357 |
+
"learning_rate": 3.136094674556213e-05,
|
| 1358 |
+
"loss": 0.0019,
|
| 1359 |
+
"step": 1710
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 11.025641025641026,
|
| 1363 |
+
"grad_norm": 0.01147390529513359,
|
| 1364 |
+
"learning_rate": 3.037475345167653e-05,
|
| 1365 |
+
"loss": 0.002,
|
| 1366 |
+
"step": 1720
|
| 1367 |
+
},
|
| 1368 |
+
{
|
| 1369 |
+
"epoch": 11.08974358974359,
|
| 1370 |
+
"grad_norm": 0.00882646068930626,
|
| 1371 |
+
"learning_rate": 2.9388560157790928e-05,
|
| 1372 |
+
"loss": 0.0019,
|
| 1373 |
+
"step": 1730
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 11.153846153846153,
|
| 1377 |
+
"grad_norm": 0.00944901816546917,
|
| 1378 |
+
"learning_rate": 2.8402366863905327e-05,
|
| 1379 |
+
"loss": 0.002,
|
| 1380 |
+
"step": 1740
|
| 1381 |
+
},
|
| 1382 |
+
{
|
| 1383 |
+
"epoch": 11.217948717948717,
|
| 1384 |
+
"grad_norm": 0.009782733395695686,
|
| 1385 |
+
"learning_rate": 2.7416173570019726e-05,
|
| 1386 |
+
"loss": 0.0019,
|
| 1387 |
+
"step": 1750
|
| 1388 |
+
},
|
| 1389 |
+
{
|
| 1390 |
+
"epoch": 11.282051282051283,
|
| 1391 |
+
"grad_norm": 0.008780627511441708,
|
| 1392 |
+
"learning_rate": 2.6429980276134125e-05,
|
| 1393 |
+
"loss": 0.0019,
|
| 1394 |
+
"step": 1760
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 11.346153846153847,
|
| 1398 |
+
"grad_norm": 0.011177603155374527,
|
| 1399 |
+
"learning_rate": 2.5443786982248524e-05,
|
| 1400 |
+
"loss": 0.0019,
|
| 1401 |
+
"step": 1770
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 11.41025641025641,
|
| 1405 |
+
"grad_norm": 0.009699178859591484,
|
| 1406 |
+
"learning_rate": 2.445759368836292e-05,
|
| 1407 |
+
"loss": 0.0018,
|
| 1408 |
+
"step": 1780
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"epoch": 11.474358974358974,
|
| 1412 |
+
"grad_norm": 0.012270525097846985,
|
| 1413 |
+
"learning_rate": 2.3471400394477318e-05,
|
| 1414 |
+
"loss": 0.0019,
|
| 1415 |
+
"step": 1790
|
| 1416 |
+
},
|
| 1417 |
+
{
|
| 1418 |
+
"epoch": 11.538461538461538,
|
| 1419 |
+
"grad_norm": 0.00872350949794054,
|
| 1420 |
+
"learning_rate": 2.2485207100591717e-05,
|
| 1421 |
+
"loss": 0.0019,
|
| 1422 |
+
"step": 1800
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 11.538461538461538,
|
| 1426 |
+
"eval_accuracy": 0.9460431654676259,
|
| 1427 |
+
"eval_loss": 0.2975642681121826,
|
| 1428 |
+
"eval_runtime": 2.6404,
|
| 1429 |
+
"eval_samples_per_second": 105.285,
|
| 1430 |
+
"eval_steps_per_second": 13.255,
|
| 1431 |
+
"step": 1800
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 11.602564102564102,
|
| 1435 |
+
"grad_norm": 0.009663211181759834,
|
| 1436 |
+
"learning_rate": 2.1499013806706113e-05,
|
| 1437 |
+
"loss": 0.0019,
|
| 1438 |
+
"step": 1810
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 11.666666666666666,
|
| 1442 |
+
"grad_norm": 0.00840259250253439,
|
| 1443 |
+
"learning_rate": 2.0512820512820512e-05,
|
| 1444 |
+
"loss": 0.0018,
|
| 1445 |
+
"step": 1820
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 11.73076923076923,
|
| 1449 |
+
"grad_norm": 0.010098517872393131,
|
| 1450 |
+
"learning_rate": 1.952662721893491e-05,
|
| 1451 |
+
"loss": 0.0019,
|
| 1452 |
+
"step": 1830
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 11.794871794871796,
|
| 1456 |
+
"grad_norm": 0.013970685191452503,
|
| 1457 |
+
"learning_rate": 1.854043392504931e-05,
|
| 1458 |
+
"loss": 0.0019,
|
| 1459 |
+
"step": 1840
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 11.85897435897436,
|
| 1463 |
+
"grad_norm": 0.009059489704668522,
|
| 1464 |
+
"learning_rate": 1.755424063116371e-05,
|
| 1465 |
+
"loss": 0.0018,
|
| 1466 |
+
"step": 1850
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 11.923076923076923,
|
| 1470 |
+
"grad_norm": 0.009793447330594063,
|
| 1471 |
+
"learning_rate": 1.6568047337278108e-05,
|
| 1472 |
+
"loss": 0.0019,
|
| 1473 |
+
"step": 1860
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 11.987179487179487,
|
| 1477 |
+
"grad_norm": 0.008815682493150234,
|
| 1478 |
+
"learning_rate": 1.5581854043392503e-05,
|
| 1479 |
+
"loss": 0.0019,
|
| 1480 |
+
"step": 1870
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 12.051282051282051,
|
| 1484 |
+
"grad_norm": 0.011554540134966373,
|
| 1485 |
+
"learning_rate": 1.4595660749506904e-05,
|
| 1486 |
+
"loss": 0.0018,
|
| 1487 |
+
"step": 1880
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 12.115384615384615,
|
| 1491 |
+
"grad_norm": 0.010211811400949955,
|
| 1492 |
+
"learning_rate": 1.3609467455621303e-05,
|
| 1493 |
+
"loss": 0.0019,
|
| 1494 |
+
"step": 1890
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 12.179487179487179,
|
| 1498 |
+
"grad_norm": 0.008440189994871616,
|
| 1499 |
+
"learning_rate": 1.2623274161735702e-05,
|
| 1500 |
+
"loss": 0.0018,
|
| 1501 |
+
"step": 1900
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 12.179487179487179,
|
| 1505 |
+
"eval_accuracy": 0.9460431654676259,
|
| 1506 |
+
"eval_loss": 0.2996102273464203,
|
| 1507 |
+
"eval_runtime": 3.4755,
|
| 1508 |
+
"eval_samples_per_second": 79.989,
|
| 1509 |
+
"eval_steps_per_second": 10.071,
|
| 1510 |
+
"step": 1900
|
| 1511 |
+
},
|
| 1512 |
+
{
|
| 1513 |
+
"epoch": 12.243589743589743,
|
| 1514 |
+
"grad_norm": 0.010010773316025734,
|
| 1515 |
+
"learning_rate": 1.16370808678501e-05,
|
| 1516 |
+
"loss": 0.0018,
|
| 1517 |
+
"step": 1910
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 12.307692307692308,
|
| 1521 |
+
"grad_norm": 0.008343766443431377,
|
| 1522 |
+
"learning_rate": 1.0650887573964498e-05,
|
| 1523 |
+
"loss": 0.0017,
|
| 1524 |
+
"step": 1920
|
| 1525 |
+
},
|
| 1526 |
+
{
|
| 1527 |
+
"epoch": 12.371794871794872,
|
| 1528 |
+
"grad_norm": 0.009077221155166626,
|
| 1529 |
+
"learning_rate": 9.664694280078896e-06,
|
| 1530 |
+
"loss": 0.0018,
|
| 1531 |
+
"step": 1930
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 12.435897435897436,
|
| 1535 |
+
"grad_norm": 0.008946426212787628,
|
| 1536 |
+
"learning_rate": 8.678500986193295e-06,
|
| 1537 |
+
"loss": 0.0018,
|
| 1538 |
+
"step": 1940
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 12.5,
|
| 1542 |
+
"grad_norm": 0.008481796830892563,
|
| 1543 |
+
"learning_rate": 7.692307692307694e-06,
|
| 1544 |
+
"loss": 0.0018,
|
| 1545 |
+
"step": 1950
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 12.564102564102564,
|
| 1549 |
+
"grad_norm": 0.012229247018694878,
|
| 1550 |
+
"learning_rate": 6.706114398422091e-06,
|
| 1551 |
+
"loss": 0.0018,
|
| 1552 |
+
"step": 1960
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"epoch": 12.628205128205128,
|
| 1556 |
+
"grad_norm": 0.009792056865990162,
|
| 1557 |
+
"learning_rate": 5.71992110453649e-06,
|
| 1558 |
+
"loss": 0.0019,
|
| 1559 |
+
"step": 1970
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 12.692307692307692,
|
| 1563 |
+
"grad_norm": 0.008133339695632458,
|
| 1564 |
+
"learning_rate": 4.733727810650888e-06,
|
| 1565 |
+
"loss": 0.0017,
|
| 1566 |
+
"step": 1980
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 12.756410256410255,
|
| 1570 |
+
"grad_norm": 0.00821082666516304,
|
| 1571 |
+
"learning_rate": 3.7475345167652858e-06,
|
| 1572 |
+
"loss": 0.0018,
|
| 1573 |
+
"step": 1990
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"epoch": 12.820512820512821,
|
| 1577 |
+
"grad_norm": 0.008551714941859245,
|
| 1578 |
+
"learning_rate": 2.7613412228796843e-06,
|
| 1579 |
+
"loss": 0.0018,
|
| 1580 |
+
"step": 2000
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 12.820512820512821,
|
| 1584 |
+
"eval_accuracy": 0.9460431654676259,
|
| 1585 |
+
"eval_loss": 0.3006349802017212,
|
| 1586 |
+
"eval_runtime": 2.5194,
|
| 1587 |
+
"eval_samples_per_second": 110.343,
|
| 1588 |
+
"eval_steps_per_second": 13.892,
|
| 1589 |
+
"step": 2000
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 12.884615384615385,
|
| 1593 |
+
"grad_norm": 0.008309854194521904,
|
| 1594 |
+
"learning_rate": 1.775147928994083e-06,
|
| 1595 |
+
"loss": 0.0019,
|
| 1596 |
+
"step": 2010
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 12.948717948717949,
|
| 1600 |
+
"grad_norm": 0.008332509547472,
|
| 1601 |
+
"learning_rate": 7.889546351084814e-07,
|
| 1602 |
+
"loss": 0.0017,
|
| 1603 |
+
"step": 2020
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 13.0,
|
| 1607 |
+
"step": 2028,
|
| 1608 |
+
"total_flos": 2.5134977377120666e+18,
|
| 1609 |
+
"train_loss": 0.18042536613924515,
|
| 1610 |
+
"train_runtime": 1249.5195,
|
| 1611 |
+
"train_samples_per_second": 25.958,
|
| 1612 |
+
"train_steps_per_second": 1.623
|
| 1613 |
+
}
|
| 1614 |
+
],
|
| 1615 |
+
"logging_steps": 10,
|
| 1616 |
+
"max_steps": 2028,
|
| 1617 |
+
"num_input_tokens_seen": 0,
|
| 1618 |
+
"num_train_epochs": 13,
|
| 1619 |
+
"save_steps": 100,
|
| 1620 |
+
"stateful_callbacks": {
|
| 1621 |
+
"TrainerControl": {
|
| 1622 |
+
"args": {
|
| 1623 |
+
"should_epoch_stop": false,
|
| 1624 |
+
"should_evaluate": false,
|
| 1625 |
+
"should_log": false,
|
| 1626 |
+
"should_save": true,
|
| 1627 |
+
"should_training_stop": false
|
| 1628 |
+
},
|
| 1629 |
+
"attributes": {}
|
| 1630 |
+
}
|
| 1631 |
+
},
|
| 1632 |
+
"total_flos": 2.5134977377120666e+18,
|
| 1633 |
+
"train_batch_size": 16,
|
| 1634 |
+
"trial_name": null,
|
| 1635 |
+
"trial_params": null
|
| 1636 |
+
}
|