🍻 cheers
Browse files- README.md +5 -2
- all_results.json +12 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +3358 -0
README.md
CHANGED
@@ -1,5 +1,8 @@
|
|
1 |
---
|
|
|
|
|
2 |
tags:
|
|
|
3 |
- generated_from_trainer
|
4 |
datasets:
|
5 |
- imagefolder
|
@@ -12,7 +15,7 @@ model-index:
|
|
12 |
name: Image Classification
|
13 |
type: image-classification
|
14 |
dataset:
|
15 |
-
name:
|
16 |
type: imagefolder
|
17 |
config: default
|
18 |
split: train
|
@@ -28,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
28 |
|
29 |
# vit_epochs5_batch32_lr5e-05_size224_tiles1_seed1_vit_lr
|
30 |
|
31 |
-
This model
|
32 |
It achieves the following results on the evaluation set:
|
33 |
- Loss: 0.6761
|
34 |
- Accuracy: 0.5736
|
|
|
1 |
---
|
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
|
|
|
15 |
name: Image Classification
|
16 |
type: image-classification
|
17 |
dataset:
|
18 |
+
name: Dogs_vs_Cats
|
19 |
type: imagefolder
|
20 |
config: default
|
21 |
split: train
|
|
|
31 |
|
32 |
# vit_epochs5_batch32_lr5e-05_size224_tiles1_seed1_vit_lr
|
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 Dogs_vs_Cats dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
- Loss: 0.6761
|
37 |
- Accuracy: 0.5736
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.5736,
|
4 |
+
"eval_loss": 0.6760911345481873,
|
5 |
+
"eval_runtime": 18.2658,
|
6 |
+
"eval_samples_per_second": 205.302,
|
7 |
+
"eval_steps_per_second": 6.46,
|
8 |
+
"train_loss": 0.6811762883973275,
|
9 |
+
"train_runtime": 808.2731,
|
10 |
+
"train_samples_per_second": 92.79,
|
11 |
+
"train_steps_per_second": 2.901
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.5736,
|
4 |
+
"eval_loss": 0.6760911345481873,
|
5 |
+
"eval_runtime": 18.2658,
|
6 |
+
"eval_samples_per_second": 205.302,
|
7 |
+
"eval_steps_per_second": 6.46
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 0.6811762883973275,
|
4 |
+
"train_runtime": 808.2731,
|
5 |
+
"train_samples_per_second": 92.79,
|
6 |
+
"train_steps_per_second": 2.901
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3358 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6760911345481873,
|
3 |
+
"best_model_checkpoint": "vit_epochs5_batch32_lr5e-05_size224_tiles1_seed1_vit_lr\\checkpoint-2345",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2345,
|
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": 0.5828699469566345,
|
14 |
+
"learning_rate": 4.989339019189766e-05,
|
15 |
+
"loss": 0.8221,
|
16 |
+
"step": 5
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02,
|
20 |
+
"grad_norm": 0.39033976197242737,
|
21 |
+
"learning_rate": 4.978678038379531e-05,
|
22 |
+
"loss": 0.8309,
|
23 |
+
"step": 10
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.03,
|
27 |
+
"grad_norm": 0.5242815613746643,
|
28 |
+
"learning_rate": 4.9680170575692967e-05,
|
29 |
+
"loss": 0.7594,
|
30 |
+
"step": 15
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.04,
|
34 |
+
"grad_norm": 0.8361539244651794,
|
35 |
+
"learning_rate": 4.957356076759062e-05,
|
36 |
+
"loss": 0.8066,
|
37 |
+
"step": 20
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.05,
|
41 |
+
"grad_norm": 0.1711714118719101,
|
42 |
+
"learning_rate": 4.9466950959488276e-05,
|
43 |
+
"loss": 0.7071,
|
44 |
+
"step": 25
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06,
|
48 |
+
"grad_norm": 0.19998708367347717,
|
49 |
+
"learning_rate": 4.936034115138593e-05,
|
50 |
+
"loss": 0.6991,
|
51 |
+
"step": 30
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.07,
|
55 |
+
"grad_norm": 0.30334341526031494,
|
56 |
+
"learning_rate": 4.9253731343283586e-05,
|
57 |
+
"loss": 0.7404,
|
58 |
+
"step": 35
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.09,
|
62 |
+
"grad_norm": 0.3605813682079315,
|
63 |
+
"learning_rate": 4.914712153518124e-05,
|
64 |
+
"loss": 0.7351,
|
65 |
+
"step": 40
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1,
|
69 |
+
"grad_norm": 0.06580419093370438,
|
70 |
+
"learning_rate": 4.904051172707889e-05,
|
71 |
+
"loss": 0.6959,
|
72 |
+
"step": 45
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.11,
|
76 |
+
"grad_norm": 0.05234284698963165,
|
77 |
+
"learning_rate": 4.893390191897655e-05,
|
78 |
+
"loss": 0.6917,
|
79 |
+
"step": 50
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.12,
|
83 |
+
"grad_norm": 0.10359219461679459,
|
84 |
+
"learning_rate": 4.88272921108742e-05,
|
85 |
+
"loss": 0.6982,
|
86 |
+
"step": 55
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.13,
|
90 |
+
"grad_norm": 0.10600591450929642,
|
91 |
+
"learning_rate": 4.872068230277186e-05,
|
92 |
+
"loss": 0.7052,
|
93 |
+
"step": 60
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.14,
|
97 |
+
"grad_norm": 0.14884132146835327,
|
98 |
+
"learning_rate": 4.861407249466951e-05,
|
99 |
+
"loss": 0.6971,
|
100 |
+
"step": 65
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.15,
|
104 |
+
"grad_norm": 0.16608068346977234,
|
105 |
+
"learning_rate": 4.850746268656717e-05,
|
106 |
+
"loss": 0.696,
|
107 |
+
"step": 70
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.16,
|
111 |
+
"grad_norm": 0.1025952398777008,
|
112 |
+
"learning_rate": 4.840085287846482e-05,
|
113 |
+
"loss": 0.6952,
|
114 |
+
"step": 75
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.17,
|
118 |
+
"grad_norm": 0.032446928322315216,
|
119 |
+
"learning_rate": 4.829424307036248e-05,
|
120 |
+
"loss": 0.7,
|
121 |
+
"step": 80
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.18,
|
125 |
+
"grad_norm": 0.20473094284534454,
|
126 |
+
"learning_rate": 4.8187633262260126e-05,
|
127 |
+
"loss": 0.6982,
|
128 |
+
"step": 85
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.19,
|
132 |
+
"grad_norm": 0.24259920418262482,
|
133 |
+
"learning_rate": 4.808102345415779e-05,
|
134 |
+
"loss": 0.6941,
|
135 |
+
"step": 90
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2,
|
139 |
+
"grad_norm": 0.13239941000938416,
|
140 |
+
"learning_rate": 4.7974413646055436e-05,
|
141 |
+
"loss": 0.6893,
|
142 |
+
"step": 95
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.21,
|
146 |
+
"grad_norm": 0.11972621828317642,
|
147 |
+
"learning_rate": 4.78678038379531e-05,
|
148 |
+
"loss": 0.689,
|
149 |
+
"step": 100
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.22,
|
153 |
+
"grad_norm": 0.014825105667114258,
|
154 |
+
"learning_rate": 4.7761194029850745e-05,
|
155 |
+
"loss": 0.6935,
|
156 |
+
"step": 105
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.23,
|
160 |
+
"grad_norm": 0.2749171555042267,
|
161 |
+
"learning_rate": 4.765458422174841e-05,
|
162 |
+
"loss": 0.7003,
|
163 |
+
"step": 110
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.25,
|
167 |
+
"grad_norm": 0.05277346074581146,
|
168 |
+
"learning_rate": 4.7547974413646055e-05,
|
169 |
+
"loss": 0.692,
|
170 |
+
"step": 115
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.26,
|
174 |
+
"grad_norm": 0.06357314437627792,
|
175 |
+
"learning_rate": 4.7441364605543716e-05,
|
176 |
+
"loss": 0.696,
|
177 |
+
"step": 120
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.27,
|
181 |
+
"grad_norm": 0.18096879124641418,
|
182 |
+
"learning_rate": 4.7334754797441364e-05,
|
183 |
+
"loss": 0.7011,
|
184 |
+
"step": 125
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.28,
|
188 |
+
"grad_norm": 0.1589221954345703,
|
189 |
+
"learning_rate": 4.7228144989339026e-05,
|
190 |
+
"loss": 0.6944,
|
191 |
+
"step": 130
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.29,
|
195 |
+
"grad_norm": 0.1216045394539833,
|
196 |
+
"learning_rate": 4.7121535181236674e-05,
|
197 |
+
"loss": 0.6947,
|
198 |
+
"step": 135
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.3,
|
202 |
+
"grad_norm": 0.022791074588894844,
|
203 |
+
"learning_rate": 4.7014925373134335e-05,
|
204 |
+
"loss": 0.6942,
|
205 |
+
"step": 140
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.31,
|
209 |
+
"grad_norm": 0.07503971457481384,
|
210 |
+
"learning_rate": 4.690831556503198e-05,
|
211 |
+
"loss": 0.6937,
|
212 |
+
"step": 145
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.32,
|
216 |
+
"grad_norm": 0.22517453134059906,
|
217 |
+
"learning_rate": 4.6801705756929645e-05,
|
218 |
+
"loss": 0.6958,
|
219 |
+
"step": 150
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.33,
|
223 |
+
"grad_norm": 0.006116226315498352,
|
224 |
+
"learning_rate": 4.669509594882729e-05,
|
225 |
+
"loss": 0.693,
|
226 |
+
"step": 155
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.34,
|
230 |
+
"grad_norm": 0.04895751550793648,
|
231 |
+
"learning_rate": 4.658848614072495e-05,
|
232 |
+
"loss": 0.6929,
|
233 |
+
"step": 160
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.35,
|
237 |
+
"grad_norm": 0.3163030743598938,
|
238 |
+
"learning_rate": 4.64818763326226e-05,
|
239 |
+
"loss": 0.694,
|
240 |
+
"step": 165
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.36,
|
244 |
+
"grad_norm": 0.04843531921505928,
|
245 |
+
"learning_rate": 4.637526652452026e-05,
|
246 |
+
"loss": 0.6926,
|
247 |
+
"step": 170
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.37,
|
251 |
+
"grad_norm": 0.05857136473059654,
|
252 |
+
"learning_rate": 4.626865671641791e-05,
|
253 |
+
"loss": 0.6943,
|
254 |
+
"step": 175
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.38,
|
258 |
+
"grad_norm": 0.05212704837322235,
|
259 |
+
"learning_rate": 4.6162046908315566e-05,
|
260 |
+
"loss": 0.694,
|
261 |
+
"step": 180
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.39,
|
265 |
+
"grad_norm": 0.057463593780994415,
|
266 |
+
"learning_rate": 4.605543710021322e-05,
|
267 |
+
"loss": 0.6937,
|
268 |
+
"step": 185
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.41,
|
272 |
+
"grad_norm": 0.11181072145700455,
|
273 |
+
"learning_rate": 4.5948827292110876e-05,
|
274 |
+
"loss": 0.6927,
|
275 |
+
"step": 190
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.42,
|
279 |
+
"grad_norm": 0.16910992562770844,
|
280 |
+
"learning_rate": 4.584221748400853e-05,
|
281 |
+
"loss": 0.694,
|
282 |
+
"step": 195
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.43,
|
286 |
+
"grad_norm": 0.16462725400924683,
|
287 |
+
"learning_rate": 4.5735607675906185e-05,
|
288 |
+
"loss": 0.6938,
|
289 |
+
"step": 200
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.44,
|
293 |
+
"grad_norm": 0.04628448933362961,
|
294 |
+
"learning_rate": 4.562899786780384e-05,
|
295 |
+
"loss": 0.6932,
|
296 |
+
"step": 205
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.45,
|
300 |
+
"grad_norm": 0.2542133629322052,
|
301 |
+
"learning_rate": 4.5522388059701495e-05,
|
302 |
+
"loss": 0.6933,
|
303 |
+
"step": 210
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.46,
|
307 |
+
"grad_norm": 0.022086847573518753,
|
308 |
+
"learning_rate": 4.541577825159915e-05,
|
309 |
+
"loss": 0.6929,
|
310 |
+
"step": 215
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.47,
|
314 |
+
"grad_norm": 0.1755961775779724,
|
315 |
+
"learning_rate": 4.5309168443496804e-05,
|
316 |
+
"loss": 0.695,
|
317 |
+
"step": 220
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.48,
|
321 |
+
"grad_norm": 0.1452350616455078,
|
322 |
+
"learning_rate": 4.520255863539446e-05,
|
323 |
+
"loss": 0.6953,
|
324 |
+
"step": 225
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.49,
|
328 |
+
"grad_norm": 0.2042374312877655,
|
329 |
+
"learning_rate": 4.5095948827292114e-05,
|
330 |
+
"loss": 0.6929,
|
331 |
+
"step": 230
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.5,
|
335 |
+
"grad_norm": 0.1066068783402443,
|
336 |
+
"learning_rate": 4.498933901918977e-05,
|
337 |
+
"loss": 0.692,
|
338 |
+
"step": 235
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.51,
|
342 |
+
"grad_norm": 0.15991215407848358,
|
343 |
+
"learning_rate": 4.488272921108742e-05,
|
344 |
+
"loss": 0.6944,
|
345 |
+
"step": 240
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.52,
|
349 |
+
"grad_norm": 0.20871728658676147,
|
350 |
+
"learning_rate": 4.477611940298508e-05,
|
351 |
+
"loss": 0.693,
|
352 |
+
"step": 245
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.53,
|
356 |
+
"grad_norm": 0.2562817335128784,
|
357 |
+
"learning_rate": 4.466950959488273e-05,
|
358 |
+
"loss": 0.6933,
|
359 |
+
"step": 250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.54,
|
363 |
+
"grad_norm": 0.04552245885133743,
|
364 |
+
"learning_rate": 4.456289978678039e-05,
|
365 |
+
"loss": 0.6929,
|
366 |
+
"step": 255
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.55,
|
370 |
+
"grad_norm": 0.012926601804792881,
|
371 |
+
"learning_rate": 4.445628997867804e-05,
|
372 |
+
"loss": 0.6921,
|
373 |
+
"step": 260
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.57,
|
377 |
+
"grad_norm": 0.06915324926376343,
|
378 |
+
"learning_rate": 4.43496801705757e-05,
|
379 |
+
"loss": 0.6936,
|
380 |
+
"step": 265
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.58,
|
384 |
+
"grad_norm": 0.11693533509969711,
|
385 |
+
"learning_rate": 4.424307036247335e-05,
|
386 |
+
"loss": 0.6975,
|
387 |
+
"step": 270
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.59,
|
391 |
+
"grad_norm": 0.25377050042152405,
|
392 |
+
"learning_rate": 4.4136460554371006e-05,
|
393 |
+
"loss": 0.6928,
|
394 |
+
"step": 275
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.6,
|
398 |
+
"grad_norm": 0.22589242458343506,
|
399 |
+
"learning_rate": 4.402985074626866e-05,
|
400 |
+
"loss": 0.6936,
|
401 |
+
"step": 280
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.61,
|
405 |
+
"grad_norm": 0.17468225955963135,
|
406 |
+
"learning_rate": 4.3923240938166316e-05,
|
407 |
+
"loss": 0.6934,
|
408 |
+
"step": 285
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.62,
|
412 |
+
"grad_norm": 0.041436854749917984,
|
413 |
+
"learning_rate": 4.381663113006397e-05,
|
414 |
+
"loss": 0.6949,
|
415 |
+
"step": 290
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.63,
|
419 |
+
"grad_norm": 0.16202151775360107,
|
420 |
+
"learning_rate": 4.3710021321961625e-05,
|
421 |
+
"loss": 0.6925,
|
422 |
+
"step": 295
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.64,
|
426 |
+
"grad_norm": 0.10329734534025192,
|
427 |
+
"learning_rate": 4.360341151385928e-05,
|
428 |
+
"loss": 0.6947,
|
429 |
+
"step": 300
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.65,
|
433 |
+
"grad_norm": 0.06689364463090897,
|
434 |
+
"learning_rate": 4.3496801705756935e-05,
|
435 |
+
"loss": 0.6923,
|
436 |
+
"step": 305
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.66,
|
440 |
+
"grad_norm": 0.03244592249393463,
|
441 |
+
"learning_rate": 4.339019189765459e-05,
|
442 |
+
"loss": 0.6943,
|
443 |
+
"step": 310
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.67,
|
447 |
+
"grad_norm": 0.08199141174554825,
|
448 |
+
"learning_rate": 4.328358208955224e-05,
|
449 |
+
"loss": 0.6926,
|
450 |
+
"step": 315
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.68,
|
454 |
+
"grad_norm": 0.07944226264953613,
|
455 |
+
"learning_rate": 4.31769722814499e-05,
|
456 |
+
"loss": 0.6915,
|
457 |
+
"step": 320
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.69,
|
461 |
+
"grad_norm": 0.08416552096605301,
|
462 |
+
"learning_rate": 4.307036247334755e-05,
|
463 |
+
"loss": 0.6913,
|
464 |
+
"step": 325
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.7,
|
468 |
+
"grad_norm": 0.1907459795475006,
|
469 |
+
"learning_rate": 4.29637526652452e-05,
|
470 |
+
"loss": 0.6964,
|
471 |
+
"step": 330
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.71,
|
475 |
+
"grad_norm": 0.08609720319509506,
|
476 |
+
"learning_rate": 4.2857142857142856e-05,
|
477 |
+
"loss": 0.6878,
|
478 |
+
"step": 335
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.72,
|
482 |
+
"grad_norm": 0.036432862281799316,
|
483 |
+
"learning_rate": 4.275053304904051e-05,
|
484 |
+
"loss": 0.6942,
|
485 |
+
"step": 340
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.74,
|
489 |
+
"grad_norm": 0.031249074265360832,
|
490 |
+
"learning_rate": 4.2643923240938166e-05,
|
491 |
+
"loss": 0.6932,
|
492 |
+
"step": 345
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.75,
|
496 |
+
"grad_norm": 0.1355859935283661,
|
497 |
+
"learning_rate": 4.253731343283582e-05,
|
498 |
+
"loss": 0.6911,
|
499 |
+
"step": 350
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.76,
|
503 |
+
"grad_norm": 0.1345302313566208,
|
504 |
+
"learning_rate": 4.2430703624733475e-05,
|
505 |
+
"loss": 0.6947,
|
506 |
+
"step": 355
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.77,
|
510 |
+
"grad_norm": 0.07437537610530853,
|
511 |
+
"learning_rate": 4.232409381663113e-05,
|
512 |
+
"loss": 0.695,
|
513 |
+
"step": 360
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.78,
|
517 |
+
"grad_norm": 0.01497673336416483,
|
518 |
+
"learning_rate": 4.2217484008528785e-05,
|
519 |
+
"loss": 0.694,
|
520 |
+
"step": 365
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.79,
|
524 |
+
"grad_norm": 0.14993418753147125,
|
525 |
+
"learning_rate": 4.211087420042644e-05,
|
526 |
+
"loss": 0.6929,
|
527 |
+
"step": 370
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.8,
|
531 |
+
"grad_norm": 0.017090369015932083,
|
532 |
+
"learning_rate": 4.2004264392324094e-05,
|
533 |
+
"loss": 0.6923,
|
534 |
+
"step": 375
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.81,
|
538 |
+
"grad_norm": 0.07324916124343872,
|
539 |
+
"learning_rate": 4.189765458422175e-05,
|
540 |
+
"loss": 0.6925,
|
541 |
+
"step": 380
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.82,
|
545 |
+
"grad_norm": 0.035330481827259064,
|
546 |
+
"learning_rate": 4.1791044776119404e-05,
|
547 |
+
"loss": 0.6965,
|
548 |
+
"step": 385
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.83,
|
552 |
+
"grad_norm": 0.2187144011259079,
|
553 |
+
"learning_rate": 4.168443496801706e-05,
|
554 |
+
"loss": 0.6933,
|
555 |
+
"step": 390
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.84,
|
559 |
+
"grad_norm": 0.05486568436026573,
|
560 |
+
"learning_rate": 4.157782515991471e-05,
|
561 |
+
"loss": 0.6934,
|
562 |
+
"step": 395
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.85,
|
566 |
+
"grad_norm": 0.20385077595710754,
|
567 |
+
"learning_rate": 4.147121535181237e-05,
|
568 |
+
"loss": 0.6928,
|
569 |
+
"step": 400
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.86,
|
573 |
+
"grad_norm": 0.011761588044464588,
|
574 |
+
"learning_rate": 4.136460554371002e-05,
|
575 |
+
"loss": 0.6928,
|
576 |
+
"step": 405
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.87,
|
580 |
+
"grad_norm": 0.34647056460380554,
|
581 |
+
"learning_rate": 4.125799573560768e-05,
|
582 |
+
"loss": 0.6924,
|
583 |
+
"step": 410
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.88,
|
587 |
+
"grad_norm": 0.24146543443202972,
|
588 |
+
"learning_rate": 4.115138592750533e-05,
|
589 |
+
"loss": 0.6909,
|
590 |
+
"step": 415
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.9,
|
594 |
+
"grad_norm": 0.07559261471033096,
|
595 |
+
"learning_rate": 4.104477611940299e-05,
|
596 |
+
"loss": 0.6914,
|
597 |
+
"step": 420
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.91,
|
601 |
+
"grad_norm": 0.031942449510097504,
|
602 |
+
"learning_rate": 4.093816631130064e-05,
|
603 |
+
"loss": 0.6911,
|
604 |
+
"step": 425
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.92,
|
608 |
+
"grad_norm": 0.033947765827178955,
|
609 |
+
"learning_rate": 4.0831556503198296e-05,
|
610 |
+
"loss": 0.6923,
|
611 |
+
"step": 430
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.93,
|
615 |
+
"grad_norm": 0.08389558643102646,
|
616 |
+
"learning_rate": 4.072494669509595e-05,
|
617 |
+
"loss": 0.6969,
|
618 |
+
"step": 435
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.94,
|
622 |
+
"grad_norm": 0.12675201892852783,
|
623 |
+
"learning_rate": 4.0618336886993606e-05,
|
624 |
+
"loss": 0.6897,
|
625 |
+
"step": 440
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.95,
|
629 |
+
"grad_norm": 0.02003253623843193,
|
630 |
+
"learning_rate": 4.051172707889126e-05,
|
631 |
+
"loss": 0.691,
|
632 |
+
"step": 445
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.96,
|
636 |
+
"grad_norm": 0.18815450370311737,
|
637 |
+
"learning_rate": 4.0405117270788915e-05,
|
638 |
+
"loss": 0.693,
|
639 |
+
"step": 450
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.97,
|
643 |
+
"grad_norm": 0.02639641985297203,
|
644 |
+
"learning_rate": 4.029850746268657e-05,
|
645 |
+
"loss": 0.6902,
|
646 |
+
"step": 455
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.98,
|
650 |
+
"grad_norm": 0.021094592288136482,
|
651 |
+
"learning_rate": 4.0191897654584225e-05,
|
652 |
+
"loss": 0.6958,
|
653 |
+
"step": 460
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.99,
|
657 |
+
"grad_norm": 0.12382938712835312,
|
658 |
+
"learning_rate": 4.008528784648188e-05,
|
659 |
+
"loss": 0.6952,
|
660 |
+
"step": 465
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.0,
|
664 |
+
"eval_accuracy": 0.49706666666666666,
|
665 |
+
"eval_loss": 0.6928426027297974,
|
666 |
+
"eval_runtime": 17.2988,
|
667 |
+
"eval_samples_per_second": 216.778,
|
668 |
+
"eval_steps_per_second": 6.821,
|
669 |
+
"step": 469
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 1.0,
|
673 |
+
"grad_norm": 0.1660253256559372,
|
674 |
+
"learning_rate": 3.997867803837953e-05,
|
675 |
+
"loss": 0.6912,
|
676 |
+
"step": 470
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 1.01,
|
680 |
+
"grad_norm": 0.2098858803510666,
|
681 |
+
"learning_rate": 3.987206823027719e-05,
|
682 |
+
"loss": 0.6937,
|
683 |
+
"step": 475
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 1.02,
|
687 |
+
"grad_norm": 0.2579794228076935,
|
688 |
+
"learning_rate": 3.976545842217484e-05,
|
689 |
+
"loss": 0.6929,
|
690 |
+
"step": 480
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.03,
|
694 |
+
"grad_norm": 0.15190201997756958,
|
695 |
+
"learning_rate": 3.96588486140725e-05,
|
696 |
+
"loss": 0.6913,
|
697 |
+
"step": 485
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 1.04,
|
701 |
+
"grad_norm": 0.11310646682977676,
|
702 |
+
"learning_rate": 3.9552238805970146e-05,
|
703 |
+
"loss": 0.6922,
|
704 |
+
"step": 490
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.06,
|
708 |
+
"grad_norm": 0.13565397262573242,
|
709 |
+
"learning_rate": 3.944562899786781e-05,
|
710 |
+
"loss": 0.6916,
|
711 |
+
"step": 495
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.07,
|
715 |
+
"grad_norm": 0.028749778866767883,
|
716 |
+
"learning_rate": 3.9339019189765456e-05,
|
717 |
+
"loss": 0.6919,
|
718 |
+
"step": 500
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 1.08,
|
722 |
+
"grad_norm": 0.03068220429122448,
|
723 |
+
"learning_rate": 3.923240938166312e-05,
|
724 |
+
"loss": 0.6904,
|
725 |
+
"step": 505
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.09,
|
729 |
+
"grad_norm": 0.38801059126853943,
|
730 |
+
"learning_rate": 3.9125799573560765e-05,
|
731 |
+
"loss": 0.699,
|
732 |
+
"step": 510
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.1,
|
736 |
+
"grad_norm": 0.17091982066631317,
|
737 |
+
"learning_rate": 3.901918976545843e-05,
|
738 |
+
"loss": 0.692,
|
739 |
+
"step": 515
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 1.11,
|
743 |
+
"grad_norm": 0.19640736281871796,
|
744 |
+
"learning_rate": 3.8912579957356075e-05,
|
745 |
+
"loss": 0.6906,
|
746 |
+
"step": 520
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.12,
|
750 |
+
"grad_norm": 0.11164979636669159,
|
751 |
+
"learning_rate": 3.8805970149253736e-05,
|
752 |
+
"loss": 0.6919,
|
753 |
+
"step": 525
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 1.13,
|
757 |
+
"grad_norm": 0.09658452868461609,
|
758 |
+
"learning_rate": 3.8699360341151384e-05,
|
759 |
+
"loss": 0.6907,
|
760 |
+
"step": 530
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 1.14,
|
764 |
+
"grad_norm": 0.2699227035045624,
|
765 |
+
"learning_rate": 3.8592750533049046e-05,
|
766 |
+
"loss": 0.6921,
|
767 |
+
"step": 535
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 1.15,
|
771 |
+
"grad_norm": 0.16162264347076416,
|
772 |
+
"learning_rate": 3.8486140724946694e-05,
|
773 |
+
"loss": 0.694,
|
774 |
+
"step": 540
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 1.16,
|
778 |
+
"grad_norm": 0.10174128413200378,
|
779 |
+
"learning_rate": 3.8379530916844355e-05,
|
780 |
+
"loss": 0.6909,
|
781 |
+
"step": 545
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 1.17,
|
785 |
+
"grad_norm": 0.04992598667740822,
|
786 |
+
"learning_rate": 3.8272921108742e-05,
|
787 |
+
"loss": 0.692,
|
788 |
+
"step": 550
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.18,
|
792 |
+
"grad_norm": 0.054032549262046814,
|
793 |
+
"learning_rate": 3.8166311300639665e-05,
|
794 |
+
"loss": 0.6913,
|
795 |
+
"step": 555
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 1.19,
|
799 |
+
"grad_norm": 0.11708575487136841,
|
800 |
+
"learning_rate": 3.805970149253731e-05,
|
801 |
+
"loss": 0.692,
|
802 |
+
"step": 560
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 1.2,
|
806 |
+
"grad_norm": 0.012999237515032291,
|
807 |
+
"learning_rate": 3.7953091684434974e-05,
|
808 |
+
"loss": 0.6931,
|
809 |
+
"step": 565
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 1.22,
|
813 |
+
"grad_norm": 0.3079542815685272,
|
814 |
+
"learning_rate": 3.784648187633262e-05,
|
815 |
+
"loss": 0.6913,
|
816 |
+
"step": 570
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 1.23,
|
820 |
+
"grad_norm": 0.006371928378939629,
|
821 |
+
"learning_rate": 3.7739872068230284e-05,
|
822 |
+
"loss": 0.6927,
|
823 |
+
"step": 575
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 1.24,
|
827 |
+
"grad_norm": 0.10761117190122604,
|
828 |
+
"learning_rate": 3.763326226012793e-05,
|
829 |
+
"loss": 0.6913,
|
830 |
+
"step": 580
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.25,
|
834 |
+
"grad_norm": 0.05754609405994415,
|
835 |
+
"learning_rate": 3.752665245202559e-05,
|
836 |
+
"loss": 0.6923,
|
837 |
+
"step": 585
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 1.26,
|
841 |
+
"grad_norm": 0.11597250401973724,
|
842 |
+
"learning_rate": 3.742004264392324e-05,
|
843 |
+
"loss": 0.6932,
|
844 |
+
"step": 590
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 1.27,
|
848 |
+
"grad_norm": 0.06282239407300949,
|
849 |
+
"learning_rate": 3.73134328358209e-05,
|
850 |
+
"loss": 0.6926,
|
851 |
+
"step": 595
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 1.28,
|
855 |
+
"grad_norm": 0.21621769666671753,
|
856 |
+
"learning_rate": 3.720682302771855e-05,
|
857 |
+
"loss": 0.6913,
|
858 |
+
"step": 600
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 1.29,
|
862 |
+
"grad_norm": 0.042546581476926804,
|
863 |
+
"learning_rate": 3.710021321961621e-05,
|
864 |
+
"loss": 0.6919,
|
865 |
+
"step": 605
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 1.3,
|
869 |
+
"grad_norm": 0.06986606121063232,
|
870 |
+
"learning_rate": 3.699360341151386e-05,
|
871 |
+
"loss": 0.6913,
|
872 |
+
"step": 610
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.31,
|
876 |
+
"grad_norm": 0.0846039429306984,
|
877 |
+
"learning_rate": 3.6886993603411515e-05,
|
878 |
+
"loss": 0.6899,
|
879 |
+
"step": 615
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 1.32,
|
883 |
+
"grad_norm": 0.08857711404561996,
|
884 |
+
"learning_rate": 3.678038379530917e-05,
|
885 |
+
"loss": 0.6932,
|
886 |
+
"step": 620
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 1.33,
|
890 |
+
"grad_norm": 0.17316599190235138,
|
891 |
+
"learning_rate": 3.6673773987206824e-05,
|
892 |
+
"loss": 0.6908,
|
893 |
+
"step": 625
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.34,
|
897 |
+
"grad_norm": 0.05025525391101837,
|
898 |
+
"learning_rate": 3.656716417910448e-05,
|
899 |
+
"loss": 0.6927,
|
900 |
+
"step": 630
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 1.35,
|
904 |
+
"grad_norm": 0.2874080240726471,
|
905 |
+
"learning_rate": 3.6460554371002134e-05,
|
906 |
+
"loss": 0.6909,
|
907 |
+
"step": 635
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 1.36,
|
911 |
+
"grad_norm": 0.19556842744350433,
|
912 |
+
"learning_rate": 3.635394456289979e-05,
|
913 |
+
"loss": 0.694,
|
914 |
+
"step": 640
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.38,
|
918 |
+
"grad_norm": 0.0742514356970787,
|
919 |
+
"learning_rate": 3.624733475479744e-05,
|
920 |
+
"loss": 0.6935,
|
921 |
+
"step": 645
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 1.39,
|
925 |
+
"grad_norm": 0.09203707426786423,
|
926 |
+
"learning_rate": 3.61407249466951e-05,
|
927 |
+
"loss": 0.6863,
|
928 |
+
"step": 650
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 1.4,
|
932 |
+
"grad_norm": 0.022830668836832047,
|
933 |
+
"learning_rate": 3.603411513859275e-05,
|
934 |
+
"loss": 0.6968,
|
935 |
+
"step": 655
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 1.41,
|
939 |
+
"grad_norm": 0.10433661937713623,
|
940 |
+
"learning_rate": 3.592750533049041e-05,
|
941 |
+
"loss": 0.6915,
|
942 |
+
"step": 660
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 1.42,
|
946 |
+
"grad_norm": 0.266999751329422,
|
947 |
+
"learning_rate": 3.582089552238806e-05,
|
948 |
+
"loss": 0.6929,
|
949 |
+
"step": 665
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 1.43,
|
953 |
+
"grad_norm": 0.21351861953735352,
|
954 |
+
"learning_rate": 3.571428571428572e-05,
|
955 |
+
"loss": 0.6935,
|
956 |
+
"step": 670
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 1.44,
|
960 |
+
"grad_norm": 0.21409828960895538,
|
961 |
+
"learning_rate": 3.560767590618337e-05,
|
962 |
+
"loss": 0.6916,
|
963 |
+
"step": 675
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 1.45,
|
967 |
+
"grad_norm": 0.10528093576431274,
|
968 |
+
"learning_rate": 3.5501066098081026e-05,
|
969 |
+
"loss": 0.6892,
|
970 |
+
"step": 680
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 1.46,
|
974 |
+
"grad_norm": 0.05427803099155426,
|
975 |
+
"learning_rate": 3.539445628997868e-05,
|
976 |
+
"loss": 0.6904,
|
977 |
+
"step": 685
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 1.47,
|
981 |
+
"grad_norm": 0.10534835606813431,
|
982 |
+
"learning_rate": 3.5287846481876336e-05,
|
983 |
+
"loss": 0.6916,
|
984 |
+
"step": 690
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 1.48,
|
988 |
+
"grad_norm": 0.21933074295520782,
|
989 |
+
"learning_rate": 3.518123667377399e-05,
|
990 |
+
"loss": 0.6911,
|
991 |
+
"step": 695
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 1.49,
|
995 |
+
"grad_norm": 0.09845433384180069,
|
996 |
+
"learning_rate": 3.5074626865671645e-05,
|
997 |
+
"loss": 0.6905,
|
998 |
+
"step": 700
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 1.5,
|
1002 |
+
"grad_norm": 0.06464946269989014,
|
1003 |
+
"learning_rate": 3.496801705756929e-05,
|
1004 |
+
"loss": 0.6925,
|
1005 |
+
"step": 705
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 1.51,
|
1009 |
+
"grad_norm": 0.1835612803697586,
|
1010 |
+
"learning_rate": 3.4861407249466955e-05,
|
1011 |
+
"loss": 0.6882,
|
1012 |
+
"step": 710
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 1.52,
|
1016 |
+
"grad_norm": 0.043870821595191956,
|
1017 |
+
"learning_rate": 3.47547974413646e-05,
|
1018 |
+
"loss": 0.6909,
|
1019 |
+
"step": 715
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 1.54,
|
1023 |
+
"grad_norm": 0.19715048372745514,
|
1024 |
+
"learning_rate": 3.4648187633262264e-05,
|
1025 |
+
"loss": 0.6881,
|
1026 |
+
"step": 720
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 1.55,
|
1030 |
+
"grad_norm": 0.08701707422733307,
|
1031 |
+
"learning_rate": 3.454157782515991e-05,
|
1032 |
+
"loss": 0.689,
|
1033 |
+
"step": 725
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 1.56,
|
1037 |
+
"grad_norm": 0.026389161124825478,
|
1038 |
+
"learning_rate": 3.4434968017057574e-05,
|
1039 |
+
"loss": 0.6923,
|
1040 |
+
"step": 730
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 1.57,
|
1044 |
+
"grad_norm": 0.15285784006118774,
|
1045 |
+
"learning_rate": 3.432835820895522e-05,
|
1046 |
+
"loss": 0.69,
|
1047 |
+
"step": 735
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 1.58,
|
1051 |
+
"grad_norm": 0.050972145050764084,
|
1052 |
+
"learning_rate": 3.422174840085288e-05,
|
1053 |
+
"loss": 0.6866,
|
1054 |
+
"step": 740
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 1.59,
|
1058 |
+
"grad_norm": 0.10428329557180405,
|
1059 |
+
"learning_rate": 3.411513859275053e-05,
|
1060 |
+
"loss": 0.692,
|
1061 |
+
"step": 745
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 1.6,
|
1065 |
+
"grad_norm": 0.19904804229736328,
|
1066 |
+
"learning_rate": 3.400852878464819e-05,
|
1067 |
+
"loss": 0.6953,
|
1068 |
+
"step": 750
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 1.61,
|
1072 |
+
"grad_norm": 0.2752636671066284,
|
1073 |
+
"learning_rate": 3.390191897654584e-05,
|
1074 |
+
"loss": 0.6895,
|
1075 |
+
"step": 755
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 1.62,
|
1079 |
+
"grad_norm": 0.07439960539340973,
|
1080 |
+
"learning_rate": 3.37953091684435e-05,
|
1081 |
+
"loss": 0.6841,
|
1082 |
+
"step": 760
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 1.63,
|
1086 |
+
"grad_norm": 0.16306805610656738,
|
1087 |
+
"learning_rate": 3.368869936034115e-05,
|
1088 |
+
"loss": 0.687,
|
1089 |
+
"step": 765
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 1.64,
|
1093 |
+
"grad_norm": 0.10966607183218002,
|
1094 |
+
"learning_rate": 3.358208955223881e-05,
|
1095 |
+
"loss": 0.6883,
|
1096 |
+
"step": 770
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 1.65,
|
1100 |
+
"grad_norm": 0.05831507220864296,
|
1101 |
+
"learning_rate": 3.347547974413646e-05,
|
1102 |
+
"loss": 0.6852,
|
1103 |
+
"step": 775
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 1.66,
|
1107 |
+
"grad_norm": 0.31338346004486084,
|
1108 |
+
"learning_rate": 3.336886993603412e-05,
|
1109 |
+
"loss": 0.6906,
|
1110 |
+
"step": 780
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 1.67,
|
1114 |
+
"grad_norm": 0.10868186503648758,
|
1115 |
+
"learning_rate": 3.326226012793177e-05,
|
1116 |
+
"loss": 0.6948,
|
1117 |
+
"step": 785
|
1118 |
+
},
|
1119 |
+
{
|
1120 |
+
"epoch": 1.68,
|
1121 |
+
"grad_norm": 0.12757889926433563,
|
1122 |
+
"learning_rate": 3.3155650319829424e-05,
|
1123 |
+
"loss": 0.6776,
|
1124 |
+
"step": 790
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 1.7,
|
1128 |
+
"grad_norm": 0.07820712774991989,
|
1129 |
+
"learning_rate": 3.304904051172708e-05,
|
1130 |
+
"loss": 0.6944,
|
1131 |
+
"step": 795
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 1.71,
|
1135 |
+
"grad_norm": 0.25035345554351807,
|
1136 |
+
"learning_rate": 3.294243070362473e-05,
|
1137 |
+
"loss": 0.6879,
|
1138 |
+
"step": 800
|
1139 |
+
},
|
1140 |
+
{
|
1141 |
+
"epoch": 1.72,
|
1142 |
+
"grad_norm": 0.15776149928569794,
|
1143 |
+
"learning_rate": 3.283582089552239e-05,
|
1144 |
+
"loss": 0.6788,
|
1145 |
+
"step": 805
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 1.73,
|
1149 |
+
"grad_norm": 0.10203266143798828,
|
1150 |
+
"learning_rate": 3.272921108742004e-05,
|
1151 |
+
"loss": 0.6847,
|
1152 |
+
"step": 810
|
1153 |
+
},
|
1154 |
+
{
|
1155 |
+
"epoch": 1.74,
|
1156 |
+
"grad_norm": 0.19664335250854492,
|
1157 |
+
"learning_rate": 3.26226012793177e-05,
|
1158 |
+
"loss": 0.6888,
|
1159 |
+
"step": 815
|
1160 |
+
},
|
1161 |
+
{
|
1162 |
+
"epoch": 1.75,
|
1163 |
+
"grad_norm": 0.17209216952323914,
|
1164 |
+
"learning_rate": 3.251599147121535e-05,
|
1165 |
+
"loss": 0.6995,
|
1166 |
+
"step": 820
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 1.76,
|
1170 |
+
"grad_norm": 0.06759248673915863,
|
1171 |
+
"learning_rate": 3.240938166311301e-05,
|
1172 |
+
"loss": 0.6901,
|
1173 |
+
"step": 825
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 1.77,
|
1177 |
+
"grad_norm": 0.18248839676380157,
|
1178 |
+
"learning_rate": 3.230277185501066e-05,
|
1179 |
+
"loss": 0.6906,
|
1180 |
+
"step": 830
|
1181 |
+
},
|
1182 |
+
{
|
1183 |
+
"epoch": 1.78,
|
1184 |
+
"grad_norm": 0.049247272312641144,
|
1185 |
+
"learning_rate": 3.2196162046908317e-05,
|
1186 |
+
"loss": 0.6822,
|
1187 |
+
"step": 835
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 1.79,
|
1191 |
+
"grad_norm": 0.0517529733479023,
|
1192 |
+
"learning_rate": 3.208955223880597e-05,
|
1193 |
+
"loss": 0.6778,
|
1194 |
+
"step": 840
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 1.8,
|
1198 |
+
"grad_norm": 0.43367257714271545,
|
1199 |
+
"learning_rate": 3.1982942430703626e-05,
|
1200 |
+
"loss": 0.7034,
|
1201 |
+
"step": 845
|
1202 |
+
},
|
1203 |
+
{
|
1204 |
+
"epoch": 1.81,
|
1205 |
+
"grad_norm": 0.37519243359565735,
|
1206 |
+
"learning_rate": 3.187633262260128e-05,
|
1207 |
+
"loss": 0.6829,
|
1208 |
+
"step": 850
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 1.82,
|
1212 |
+
"grad_norm": 0.07908283174037933,
|
1213 |
+
"learning_rate": 3.1769722814498935e-05,
|
1214 |
+
"loss": 0.6873,
|
1215 |
+
"step": 855
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 1.83,
|
1219 |
+
"grad_norm": 0.22837957739830017,
|
1220 |
+
"learning_rate": 3.166311300639659e-05,
|
1221 |
+
"loss": 0.6907,
|
1222 |
+
"step": 860
|
1223 |
+
},
|
1224 |
+
{
|
1225 |
+
"epoch": 1.84,
|
1226 |
+
"grad_norm": 0.2421358823776245,
|
1227 |
+
"learning_rate": 3.1556503198294245e-05,
|
1228 |
+
"loss": 0.6893,
|
1229 |
+
"step": 865
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 1.86,
|
1233 |
+
"grad_norm": 0.26317983865737915,
|
1234 |
+
"learning_rate": 3.14498933901919e-05,
|
1235 |
+
"loss": 0.687,
|
1236 |
+
"step": 870
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 1.87,
|
1240 |
+
"grad_norm": 0.3738718032836914,
|
1241 |
+
"learning_rate": 3.1343283582089554e-05,
|
1242 |
+
"loss": 0.6857,
|
1243 |
+
"step": 875
|
1244 |
+
},
|
1245 |
+
{
|
1246 |
+
"epoch": 1.88,
|
1247 |
+
"grad_norm": 0.14564202725887299,
|
1248 |
+
"learning_rate": 3.123667377398721e-05,
|
1249 |
+
"loss": 0.6821,
|
1250 |
+
"step": 880
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 1.89,
|
1254 |
+
"grad_norm": 0.13704021275043488,
|
1255 |
+
"learning_rate": 3.1130063965884864e-05,
|
1256 |
+
"loss": 0.6951,
|
1257 |
+
"step": 885
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 1.9,
|
1261 |
+
"grad_norm": 0.10348877310752869,
|
1262 |
+
"learning_rate": 3.102345415778252e-05,
|
1263 |
+
"loss": 0.6793,
|
1264 |
+
"step": 890
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 1.91,
|
1268 |
+
"grad_norm": 0.10818944126367569,
|
1269 |
+
"learning_rate": 3.0916844349680173e-05,
|
1270 |
+
"loss": 0.6884,
|
1271 |
+
"step": 895
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 1.92,
|
1275 |
+
"grad_norm": 0.17710749804973602,
|
1276 |
+
"learning_rate": 3.081023454157783e-05,
|
1277 |
+
"loss": 0.6861,
|
1278 |
+
"step": 900
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 1.93,
|
1282 |
+
"grad_norm": 0.11066386103630066,
|
1283 |
+
"learning_rate": 3.070362473347548e-05,
|
1284 |
+
"loss": 0.6761,
|
1285 |
+
"step": 905
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"epoch": 1.94,
|
1289 |
+
"grad_norm": 0.14435610175132751,
|
1290 |
+
"learning_rate": 3.059701492537314e-05,
|
1291 |
+
"loss": 0.6747,
|
1292 |
+
"step": 910
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 1.95,
|
1296 |
+
"grad_norm": 0.15541020035743713,
|
1297 |
+
"learning_rate": 3.0490405117270792e-05,
|
1298 |
+
"loss": 0.6806,
|
1299 |
+
"step": 915
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 1.96,
|
1303 |
+
"grad_norm": 0.08867447078227997,
|
1304 |
+
"learning_rate": 3.0383795309168444e-05,
|
1305 |
+
"loss": 0.69,
|
1306 |
+
"step": 920
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 1.97,
|
1310 |
+
"grad_norm": 0.32354313135147095,
|
1311 |
+
"learning_rate": 3.0277185501066102e-05,
|
1312 |
+
"loss": 0.6812,
|
1313 |
+
"step": 925
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 1.98,
|
1317 |
+
"grad_norm": 0.32110169529914856,
|
1318 |
+
"learning_rate": 3.0170575692963753e-05,
|
1319 |
+
"loss": 0.6733,
|
1320 |
+
"step": 930
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 1.99,
|
1324 |
+
"grad_norm": 0.0616983063519001,
|
1325 |
+
"learning_rate": 3.006396588486141e-05,
|
1326 |
+
"loss": 0.6736,
|
1327 |
+
"step": 935
|
1328 |
+
},
|
1329 |
+
{
|
1330 |
+
"epoch": 2.0,
|
1331 |
+
"eval_accuracy": 0.5552,
|
1332 |
+
"eval_loss": 0.6843511462211609,
|
1333 |
+
"eval_runtime": 18.2604,
|
1334 |
+
"eval_samples_per_second": 205.363,
|
1335 |
+
"eval_steps_per_second": 6.462,
|
1336 |
+
"step": 938
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 2.0,
|
1340 |
+
"grad_norm": 0.13492348790168762,
|
1341 |
+
"learning_rate": 2.9957356076759063e-05,
|
1342 |
+
"loss": 0.6925,
|
1343 |
+
"step": 940
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 2.01,
|
1347 |
+
"grad_norm": 0.2928030490875244,
|
1348 |
+
"learning_rate": 2.9850746268656714e-05,
|
1349 |
+
"loss": 0.6677,
|
1350 |
+
"step": 945
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 2.03,
|
1354 |
+
"grad_norm": 0.11364587396383286,
|
1355 |
+
"learning_rate": 2.9744136460554372e-05,
|
1356 |
+
"loss": 0.6838,
|
1357 |
+
"step": 950
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 2.04,
|
1361 |
+
"grad_norm": 0.16877992451190948,
|
1362 |
+
"learning_rate": 2.9637526652452023e-05,
|
1363 |
+
"loss": 0.6952,
|
1364 |
+
"step": 955
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 2.05,
|
1368 |
+
"grad_norm": 0.38469552993774414,
|
1369 |
+
"learning_rate": 2.953091684434968e-05,
|
1370 |
+
"loss": 0.6981,
|
1371 |
+
"step": 960
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 2.06,
|
1375 |
+
"grad_norm": 0.2534121572971344,
|
1376 |
+
"learning_rate": 2.9424307036247333e-05,
|
1377 |
+
"loss": 0.6846,
|
1378 |
+
"step": 965
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 2.07,
|
1382 |
+
"grad_norm": 0.23564128577709198,
|
1383 |
+
"learning_rate": 2.931769722814499e-05,
|
1384 |
+
"loss": 0.6697,
|
1385 |
+
"step": 970
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 2.08,
|
1389 |
+
"grad_norm": 0.1798560619354248,
|
1390 |
+
"learning_rate": 2.9211087420042642e-05,
|
1391 |
+
"loss": 0.681,
|
1392 |
+
"step": 975
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 2.09,
|
1396 |
+
"grad_norm": 0.2816617786884308,
|
1397 |
+
"learning_rate": 2.91044776119403e-05,
|
1398 |
+
"loss": 0.6721,
|
1399 |
+
"step": 980
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 2.1,
|
1403 |
+
"grad_norm": 0.15949612855911255,
|
1404 |
+
"learning_rate": 2.8997867803837952e-05,
|
1405 |
+
"loss": 0.6684,
|
1406 |
+
"step": 985
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 2.11,
|
1410 |
+
"grad_norm": 0.3336601257324219,
|
1411 |
+
"learning_rate": 2.889125799573561e-05,
|
1412 |
+
"loss": 0.6789,
|
1413 |
+
"step": 990
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 2.12,
|
1417 |
+
"grad_norm": 0.15128879249095917,
|
1418 |
+
"learning_rate": 2.878464818763326e-05,
|
1419 |
+
"loss": 0.6679,
|
1420 |
+
"step": 995
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 2.13,
|
1424 |
+
"grad_norm": 0.2831324636936188,
|
1425 |
+
"learning_rate": 2.867803837953092e-05,
|
1426 |
+
"loss": 0.683,
|
1427 |
+
"step": 1000
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 2.14,
|
1431 |
+
"grad_norm": 0.09263738244771957,
|
1432 |
+
"learning_rate": 2.857142857142857e-05,
|
1433 |
+
"loss": 0.6769,
|
1434 |
+
"step": 1005
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 2.15,
|
1438 |
+
"grad_norm": 0.10221715271472931,
|
1439 |
+
"learning_rate": 2.846481876332623e-05,
|
1440 |
+
"loss": 0.6633,
|
1441 |
+
"step": 1010
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 2.16,
|
1445 |
+
"grad_norm": 0.3450409471988678,
|
1446 |
+
"learning_rate": 2.835820895522388e-05,
|
1447 |
+
"loss": 0.6859,
|
1448 |
+
"step": 1015
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 2.17,
|
1452 |
+
"grad_norm": 0.15574760735034943,
|
1453 |
+
"learning_rate": 2.825159914712154e-05,
|
1454 |
+
"loss": 0.6703,
|
1455 |
+
"step": 1020
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 2.19,
|
1459 |
+
"grad_norm": 0.18141822516918182,
|
1460 |
+
"learning_rate": 2.814498933901919e-05,
|
1461 |
+
"loss": 0.6829,
|
1462 |
+
"step": 1025
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 2.2,
|
1466 |
+
"grad_norm": 0.2733962833881378,
|
1467 |
+
"learning_rate": 2.8038379530916848e-05,
|
1468 |
+
"loss": 0.6668,
|
1469 |
+
"step": 1030
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 2.21,
|
1473 |
+
"grad_norm": 0.406516969203949,
|
1474 |
+
"learning_rate": 2.79317697228145e-05,
|
1475 |
+
"loss": 0.6932,
|
1476 |
+
"step": 1035
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 2.22,
|
1480 |
+
"grad_norm": 0.26090744137763977,
|
1481 |
+
"learning_rate": 2.7825159914712157e-05,
|
1482 |
+
"loss": 0.6624,
|
1483 |
+
"step": 1040
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 2.23,
|
1487 |
+
"grad_norm": 0.30359649658203125,
|
1488 |
+
"learning_rate": 2.771855010660981e-05,
|
1489 |
+
"loss": 0.678,
|
1490 |
+
"step": 1045
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 2.24,
|
1494 |
+
"grad_norm": 0.6121388077735901,
|
1495 |
+
"learning_rate": 2.7611940298507467e-05,
|
1496 |
+
"loss": 0.6777,
|
1497 |
+
"step": 1050
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 2.25,
|
1501 |
+
"grad_norm": 0.25791430473327637,
|
1502 |
+
"learning_rate": 2.7505330490405118e-05,
|
1503 |
+
"loss": 0.6562,
|
1504 |
+
"step": 1055
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 2.26,
|
1508 |
+
"grad_norm": 0.28375235199928284,
|
1509 |
+
"learning_rate": 2.7398720682302776e-05,
|
1510 |
+
"loss": 0.6836,
|
1511 |
+
"step": 1060
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 2.27,
|
1515 |
+
"grad_norm": 0.34015530347824097,
|
1516 |
+
"learning_rate": 2.7292110874200428e-05,
|
1517 |
+
"loss": 0.6845,
|
1518 |
+
"step": 1065
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 2.28,
|
1522 |
+
"grad_norm": 0.4710615277290344,
|
1523 |
+
"learning_rate": 2.7185501066098086e-05,
|
1524 |
+
"loss": 0.6593,
|
1525 |
+
"step": 1070
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 2.29,
|
1529 |
+
"grad_norm": 0.2846826910972595,
|
1530 |
+
"learning_rate": 2.7078891257995737e-05,
|
1531 |
+
"loss": 0.664,
|
1532 |
+
"step": 1075
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 2.3,
|
1536 |
+
"grad_norm": 0.599051296710968,
|
1537 |
+
"learning_rate": 2.6972281449893395e-05,
|
1538 |
+
"loss": 0.6747,
|
1539 |
+
"step": 1080
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 2.31,
|
1543 |
+
"grad_norm": 0.26196974515914917,
|
1544 |
+
"learning_rate": 2.6865671641791047e-05,
|
1545 |
+
"loss": 0.6693,
|
1546 |
+
"step": 1085
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 2.32,
|
1550 |
+
"grad_norm": 0.6016497611999512,
|
1551 |
+
"learning_rate": 2.6759061833688705e-05,
|
1552 |
+
"loss": 0.6736,
|
1553 |
+
"step": 1090
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 2.33,
|
1557 |
+
"grad_norm": 0.21997526288032532,
|
1558 |
+
"learning_rate": 2.6652452025586356e-05,
|
1559 |
+
"loss": 0.7005,
|
1560 |
+
"step": 1095
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 2.35,
|
1564 |
+
"grad_norm": 0.10501424223184586,
|
1565 |
+
"learning_rate": 2.6545842217484007e-05,
|
1566 |
+
"loss": 0.6859,
|
1567 |
+
"step": 1100
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 2.36,
|
1571 |
+
"grad_norm": 0.4104955196380615,
|
1572 |
+
"learning_rate": 2.6439232409381666e-05,
|
1573 |
+
"loss": 0.6939,
|
1574 |
+
"step": 1105
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 2.37,
|
1578 |
+
"grad_norm": 0.16587625443935394,
|
1579 |
+
"learning_rate": 2.6332622601279317e-05,
|
1580 |
+
"loss": 0.6703,
|
1581 |
+
"step": 1110
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 2.38,
|
1585 |
+
"grad_norm": 0.15244054794311523,
|
1586 |
+
"learning_rate": 2.6226012793176975e-05,
|
1587 |
+
"loss": 0.6841,
|
1588 |
+
"step": 1115
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 2.39,
|
1592 |
+
"grad_norm": 0.14376255869865417,
|
1593 |
+
"learning_rate": 2.6119402985074626e-05,
|
1594 |
+
"loss": 0.6817,
|
1595 |
+
"step": 1120
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 2.4,
|
1599 |
+
"grad_norm": 0.28233468532562256,
|
1600 |
+
"learning_rate": 2.6012793176972285e-05,
|
1601 |
+
"loss": 0.6702,
|
1602 |
+
"step": 1125
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 2.41,
|
1606 |
+
"grad_norm": 0.21459686756134033,
|
1607 |
+
"learning_rate": 2.5906183368869936e-05,
|
1608 |
+
"loss": 0.6552,
|
1609 |
+
"step": 1130
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 2.42,
|
1613 |
+
"grad_norm": 0.29934316873550415,
|
1614 |
+
"learning_rate": 2.5799573560767594e-05,
|
1615 |
+
"loss": 0.6684,
|
1616 |
+
"step": 1135
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 2.43,
|
1620 |
+
"grad_norm": 0.1567791849374771,
|
1621 |
+
"learning_rate": 2.5692963752665245e-05,
|
1622 |
+
"loss": 0.6877,
|
1623 |
+
"step": 1140
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 2.44,
|
1627 |
+
"grad_norm": 0.7527381777763367,
|
1628 |
+
"learning_rate": 2.5586353944562904e-05,
|
1629 |
+
"loss": 0.6815,
|
1630 |
+
"step": 1145
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 2.45,
|
1634 |
+
"grad_norm": 0.2388136237859726,
|
1635 |
+
"learning_rate": 2.5479744136460555e-05,
|
1636 |
+
"loss": 0.7029,
|
1637 |
+
"step": 1150
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 2.46,
|
1641 |
+
"grad_norm": 0.7899766564369202,
|
1642 |
+
"learning_rate": 2.537313432835821e-05,
|
1643 |
+
"loss": 0.6938,
|
1644 |
+
"step": 1155
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 2.47,
|
1648 |
+
"grad_norm": 0.5360927581787109,
|
1649 |
+
"learning_rate": 2.5266524520255864e-05,
|
1650 |
+
"loss": 0.6813,
|
1651 |
+
"step": 1160
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 2.48,
|
1655 |
+
"grad_norm": 0.2651243805885315,
|
1656 |
+
"learning_rate": 2.515991471215352e-05,
|
1657 |
+
"loss": 0.6877,
|
1658 |
+
"step": 1165
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 2.49,
|
1662 |
+
"grad_norm": 0.40308693051338196,
|
1663 |
+
"learning_rate": 2.5053304904051174e-05,
|
1664 |
+
"loss": 0.6936,
|
1665 |
+
"step": 1170
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 2.51,
|
1669 |
+
"grad_norm": 0.25783565640449524,
|
1670 |
+
"learning_rate": 2.494669509594883e-05,
|
1671 |
+
"loss": 0.6626,
|
1672 |
+
"step": 1175
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 2.52,
|
1676 |
+
"grad_norm": 0.2718556523323059,
|
1677 |
+
"learning_rate": 2.4840085287846483e-05,
|
1678 |
+
"loss": 0.6858,
|
1679 |
+
"step": 1180
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 2.53,
|
1683 |
+
"grad_norm": 0.139323428273201,
|
1684 |
+
"learning_rate": 2.4733475479744138e-05,
|
1685 |
+
"loss": 0.6612,
|
1686 |
+
"step": 1185
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 2.54,
|
1690 |
+
"grad_norm": 0.256630539894104,
|
1691 |
+
"learning_rate": 2.4626865671641793e-05,
|
1692 |
+
"loss": 0.6875,
|
1693 |
+
"step": 1190
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 2.55,
|
1697 |
+
"grad_norm": 0.2941284477710724,
|
1698 |
+
"learning_rate": 2.4520255863539444e-05,
|
1699 |
+
"loss": 0.6905,
|
1700 |
+
"step": 1195
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 2.56,
|
1704 |
+
"grad_norm": 0.2886035144329071,
|
1705 |
+
"learning_rate": 2.44136460554371e-05,
|
1706 |
+
"loss": 0.6565,
|
1707 |
+
"step": 1200
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 2.57,
|
1711 |
+
"grad_norm": 0.18019695580005646,
|
1712 |
+
"learning_rate": 2.4307036247334754e-05,
|
1713 |
+
"loss": 0.6781,
|
1714 |
+
"step": 1205
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 2.58,
|
1718 |
+
"grad_norm": 0.4069792628288269,
|
1719 |
+
"learning_rate": 2.420042643923241e-05,
|
1720 |
+
"loss": 0.6899,
|
1721 |
+
"step": 1210
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 2.59,
|
1725 |
+
"grad_norm": 0.4986726641654968,
|
1726 |
+
"learning_rate": 2.4093816631130063e-05,
|
1727 |
+
"loss": 0.6843,
|
1728 |
+
"step": 1215
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 2.6,
|
1732 |
+
"grad_norm": 0.34947189688682556,
|
1733 |
+
"learning_rate": 2.3987206823027718e-05,
|
1734 |
+
"loss": 0.6828,
|
1735 |
+
"step": 1220
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 2.61,
|
1739 |
+
"grad_norm": 0.12795394659042358,
|
1740 |
+
"learning_rate": 2.3880597014925373e-05,
|
1741 |
+
"loss": 0.6805,
|
1742 |
+
"step": 1225
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 2.62,
|
1746 |
+
"grad_norm": 0.3556659519672394,
|
1747 |
+
"learning_rate": 2.3773987206823027e-05,
|
1748 |
+
"loss": 0.6659,
|
1749 |
+
"step": 1230
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 2.63,
|
1753 |
+
"grad_norm": 0.2913447618484497,
|
1754 |
+
"learning_rate": 2.3667377398720682e-05,
|
1755 |
+
"loss": 0.661,
|
1756 |
+
"step": 1235
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 2.64,
|
1760 |
+
"grad_norm": 0.33494627475738525,
|
1761 |
+
"learning_rate": 2.3560767590618337e-05,
|
1762 |
+
"loss": 0.6621,
|
1763 |
+
"step": 1240
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 2.65,
|
1767 |
+
"grad_norm": 0.19486567378044128,
|
1768 |
+
"learning_rate": 2.345415778251599e-05,
|
1769 |
+
"loss": 0.6631,
|
1770 |
+
"step": 1245
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 2.67,
|
1774 |
+
"grad_norm": 0.16531342267990112,
|
1775 |
+
"learning_rate": 2.3347547974413646e-05,
|
1776 |
+
"loss": 0.689,
|
1777 |
+
"step": 1250
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 2.68,
|
1781 |
+
"grad_norm": 0.4831390976905823,
|
1782 |
+
"learning_rate": 2.32409381663113e-05,
|
1783 |
+
"loss": 0.6789,
|
1784 |
+
"step": 1255
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 2.69,
|
1788 |
+
"grad_norm": 0.15912608802318573,
|
1789 |
+
"learning_rate": 2.3134328358208956e-05,
|
1790 |
+
"loss": 0.6605,
|
1791 |
+
"step": 1260
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 2.7,
|
1795 |
+
"grad_norm": 0.21471765637397766,
|
1796 |
+
"learning_rate": 2.302771855010661e-05,
|
1797 |
+
"loss": 0.6865,
|
1798 |
+
"step": 1265
|
1799 |
+
},
|
1800 |
+
{
|
1801 |
+
"epoch": 2.71,
|
1802 |
+
"grad_norm": 0.333564817905426,
|
1803 |
+
"learning_rate": 2.2921108742004265e-05,
|
1804 |
+
"loss": 0.6757,
|
1805 |
+
"step": 1270
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 2.72,
|
1809 |
+
"grad_norm": 0.23908694088459015,
|
1810 |
+
"learning_rate": 2.281449893390192e-05,
|
1811 |
+
"loss": 0.7025,
|
1812 |
+
"step": 1275
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 2.73,
|
1816 |
+
"grad_norm": 0.22186516225337982,
|
1817 |
+
"learning_rate": 2.2707889125799575e-05,
|
1818 |
+
"loss": 0.6907,
|
1819 |
+
"step": 1280
|
1820 |
+
},
|
1821 |
+
{
|
1822 |
+
"epoch": 2.74,
|
1823 |
+
"grad_norm": 0.7879774570465088,
|
1824 |
+
"learning_rate": 2.260127931769723e-05,
|
1825 |
+
"loss": 0.685,
|
1826 |
+
"step": 1285
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 2.75,
|
1830 |
+
"grad_norm": 0.562380850315094,
|
1831 |
+
"learning_rate": 2.2494669509594884e-05,
|
1832 |
+
"loss": 0.6728,
|
1833 |
+
"step": 1290
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 2.76,
|
1837 |
+
"grad_norm": 0.22762958705425262,
|
1838 |
+
"learning_rate": 2.238805970149254e-05,
|
1839 |
+
"loss": 0.6782,
|
1840 |
+
"step": 1295
|
1841 |
+
},
|
1842 |
+
{
|
1843 |
+
"epoch": 2.77,
|
1844 |
+
"grad_norm": 0.26743292808532715,
|
1845 |
+
"learning_rate": 2.2281449893390194e-05,
|
1846 |
+
"loss": 0.663,
|
1847 |
+
"step": 1300
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 2.78,
|
1851 |
+
"grad_norm": 0.21805542707443237,
|
1852 |
+
"learning_rate": 2.217484008528785e-05,
|
1853 |
+
"loss": 0.6609,
|
1854 |
+
"step": 1305
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 2.79,
|
1858 |
+
"grad_norm": 0.2946370542049408,
|
1859 |
+
"learning_rate": 2.2068230277185503e-05,
|
1860 |
+
"loss": 0.6802,
|
1861 |
+
"step": 1310
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"epoch": 2.8,
|
1865 |
+
"grad_norm": 0.23653313517570496,
|
1866 |
+
"learning_rate": 2.1961620469083158e-05,
|
1867 |
+
"loss": 0.6943,
|
1868 |
+
"step": 1315
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 2.81,
|
1872 |
+
"grad_norm": 0.27479249238967896,
|
1873 |
+
"learning_rate": 2.1855010660980813e-05,
|
1874 |
+
"loss": 0.6599,
|
1875 |
+
"step": 1320
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 2.83,
|
1879 |
+
"grad_norm": 0.3639926314353943,
|
1880 |
+
"learning_rate": 2.1748400852878467e-05,
|
1881 |
+
"loss": 0.6773,
|
1882 |
+
"step": 1325
|
1883 |
+
},
|
1884 |
+
{
|
1885 |
+
"epoch": 2.84,
|
1886 |
+
"grad_norm": 0.17922058701515198,
|
1887 |
+
"learning_rate": 2.164179104477612e-05,
|
1888 |
+
"loss": 0.6758,
|
1889 |
+
"step": 1330
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 2.85,
|
1893 |
+
"grad_norm": 0.39532744884490967,
|
1894 |
+
"learning_rate": 2.1535181236673773e-05,
|
1895 |
+
"loss": 0.6746,
|
1896 |
+
"step": 1335
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 2.86,
|
1900 |
+
"grad_norm": 0.4862898290157318,
|
1901 |
+
"learning_rate": 2.1428571428571428e-05,
|
1902 |
+
"loss": 0.675,
|
1903 |
+
"step": 1340
|
1904 |
+
},
|
1905 |
+
{
|
1906 |
+
"epoch": 2.87,
|
1907 |
+
"grad_norm": 0.46271321177482605,
|
1908 |
+
"learning_rate": 2.1321961620469083e-05,
|
1909 |
+
"loss": 0.6846,
|
1910 |
+
"step": 1345
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 2.88,
|
1914 |
+
"grad_norm": 0.15888762474060059,
|
1915 |
+
"learning_rate": 2.1215351812366738e-05,
|
1916 |
+
"loss": 0.6843,
|
1917 |
+
"step": 1350
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 2.89,
|
1921 |
+
"grad_norm": 0.45253995060920715,
|
1922 |
+
"learning_rate": 2.1108742004264392e-05,
|
1923 |
+
"loss": 0.658,
|
1924 |
+
"step": 1355
|
1925 |
+
},
|
1926 |
+
{
|
1927 |
+
"epoch": 2.9,
|
1928 |
+
"grad_norm": 0.1543508768081665,
|
1929 |
+
"learning_rate": 2.1002132196162047e-05,
|
1930 |
+
"loss": 0.6722,
|
1931 |
+
"step": 1360
|
1932 |
+
},
|
1933 |
+
{
|
1934 |
+
"epoch": 2.91,
|
1935 |
+
"grad_norm": 0.2126993089914322,
|
1936 |
+
"learning_rate": 2.0895522388059702e-05,
|
1937 |
+
"loss": 0.6526,
|
1938 |
+
"step": 1365
|
1939 |
+
},
|
1940 |
+
{
|
1941 |
+
"epoch": 2.92,
|
1942 |
+
"grad_norm": 0.25720474123954773,
|
1943 |
+
"learning_rate": 2.0788912579957357e-05,
|
1944 |
+
"loss": 0.6596,
|
1945 |
+
"step": 1370
|
1946 |
+
},
|
1947 |
+
{
|
1948 |
+
"epoch": 2.93,
|
1949 |
+
"grad_norm": 0.3520115613937378,
|
1950 |
+
"learning_rate": 2.068230277185501e-05,
|
1951 |
+
"loss": 0.6623,
|
1952 |
+
"step": 1375
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 2.94,
|
1956 |
+
"grad_norm": 0.3493128716945648,
|
1957 |
+
"learning_rate": 2.0575692963752666e-05,
|
1958 |
+
"loss": 0.666,
|
1959 |
+
"step": 1380
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 2.95,
|
1963 |
+
"grad_norm": 0.44602665305137634,
|
1964 |
+
"learning_rate": 2.046908315565032e-05,
|
1965 |
+
"loss": 0.6703,
|
1966 |
+
"step": 1385
|
1967 |
+
},
|
1968 |
+
{
|
1969 |
+
"epoch": 2.96,
|
1970 |
+
"grad_norm": 0.5327634215354919,
|
1971 |
+
"learning_rate": 2.0362473347547976e-05,
|
1972 |
+
"loss": 0.6953,
|
1973 |
+
"step": 1390
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 2.97,
|
1977 |
+
"grad_norm": 0.7421027421951294,
|
1978 |
+
"learning_rate": 2.025586353944563e-05,
|
1979 |
+
"loss": 0.6827,
|
1980 |
+
"step": 1395
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 2.99,
|
1984 |
+
"grad_norm": 0.516767144203186,
|
1985 |
+
"learning_rate": 2.0149253731343285e-05,
|
1986 |
+
"loss": 0.6975,
|
1987 |
+
"step": 1400
|
1988 |
+
},
|
1989 |
+
{
|
1990 |
+
"epoch": 3.0,
|
1991 |
+
"grad_norm": 0.417506605386734,
|
1992 |
+
"learning_rate": 2.004264392324094e-05,
|
1993 |
+
"loss": 0.66,
|
1994 |
+
"step": 1405
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 3.0,
|
1998 |
+
"eval_accuracy": 0.5522666666666667,
|
1999 |
+
"eval_loss": 0.6899899840354919,
|
2000 |
+
"eval_runtime": 17.8871,
|
2001 |
+
"eval_samples_per_second": 209.648,
|
2002 |
+
"eval_steps_per_second": 6.597,
|
2003 |
+
"step": 1407
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 3.01,
|
2007 |
+
"grad_norm": 0.26411086320877075,
|
2008 |
+
"learning_rate": 1.9936034115138594e-05,
|
2009 |
+
"loss": 0.6743,
|
2010 |
+
"step": 1410
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 3.02,
|
2014 |
+
"grad_norm": 0.2531265318393707,
|
2015 |
+
"learning_rate": 1.982942430703625e-05,
|
2016 |
+
"loss": 0.6764,
|
2017 |
+
"step": 1415
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 3.03,
|
2021 |
+
"grad_norm": 0.3299374580383301,
|
2022 |
+
"learning_rate": 1.9722814498933904e-05,
|
2023 |
+
"loss": 0.6946,
|
2024 |
+
"step": 1420
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 3.04,
|
2028 |
+
"grad_norm": 1.1010500192642212,
|
2029 |
+
"learning_rate": 1.961620469083156e-05,
|
2030 |
+
"loss": 0.6612,
|
2031 |
+
"step": 1425
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 3.05,
|
2035 |
+
"grad_norm": 0.5194435715675354,
|
2036 |
+
"learning_rate": 1.9509594882729213e-05,
|
2037 |
+
"loss": 0.6768,
|
2038 |
+
"step": 1430
|
2039 |
+
},
|
2040 |
+
{
|
2041 |
+
"epoch": 3.06,
|
2042 |
+
"grad_norm": 0.32416439056396484,
|
2043 |
+
"learning_rate": 1.9402985074626868e-05,
|
2044 |
+
"loss": 0.691,
|
2045 |
+
"step": 1435
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 3.07,
|
2049 |
+
"grad_norm": 0.1599058210849762,
|
2050 |
+
"learning_rate": 1.9296375266524523e-05,
|
2051 |
+
"loss": 0.6603,
|
2052 |
+
"step": 1440
|
2053 |
+
},
|
2054 |
+
{
|
2055 |
+
"epoch": 3.08,
|
2056 |
+
"grad_norm": 0.2524496018886566,
|
2057 |
+
"learning_rate": 1.9189765458422178e-05,
|
2058 |
+
"loss": 0.688,
|
2059 |
+
"step": 1445
|
2060 |
+
},
|
2061 |
+
{
|
2062 |
+
"epoch": 3.09,
|
2063 |
+
"grad_norm": 0.12636564671993256,
|
2064 |
+
"learning_rate": 1.9083155650319832e-05,
|
2065 |
+
"loss": 0.679,
|
2066 |
+
"step": 1450
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 3.1,
|
2070 |
+
"grad_norm": 0.26544949412345886,
|
2071 |
+
"learning_rate": 1.8976545842217487e-05,
|
2072 |
+
"loss": 0.6691,
|
2073 |
+
"step": 1455
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 3.11,
|
2077 |
+
"grad_norm": 0.22614602744579315,
|
2078 |
+
"learning_rate": 1.8869936034115142e-05,
|
2079 |
+
"loss": 0.6858,
|
2080 |
+
"step": 1460
|
2081 |
+
},
|
2082 |
+
{
|
2083 |
+
"epoch": 3.12,
|
2084 |
+
"grad_norm": 0.39157307147979736,
|
2085 |
+
"learning_rate": 1.8763326226012797e-05,
|
2086 |
+
"loss": 0.6774,
|
2087 |
+
"step": 1465
|
2088 |
+
},
|
2089 |
+
{
|
2090 |
+
"epoch": 3.13,
|
2091 |
+
"grad_norm": 0.7258807420730591,
|
2092 |
+
"learning_rate": 1.865671641791045e-05,
|
2093 |
+
"loss": 0.6577,
|
2094 |
+
"step": 1470
|
2095 |
+
},
|
2096 |
+
{
|
2097 |
+
"epoch": 3.14,
|
2098 |
+
"grad_norm": 0.3102707862854004,
|
2099 |
+
"learning_rate": 1.8550106609808106e-05,
|
2100 |
+
"loss": 0.6719,
|
2101 |
+
"step": 1475
|
2102 |
+
},
|
2103 |
+
{
|
2104 |
+
"epoch": 3.16,
|
2105 |
+
"grad_norm": 0.6749600768089294,
|
2106 |
+
"learning_rate": 1.8443496801705757e-05,
|
2107 |
+
"loss": 0.6728,
|
2108 |
+
"step": 1480
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 3.17,
|
2112 |
+
"grad_norm": 0.3821292519569397,
|
2113 |
+
"learning_rate": 1.8336886993603412e-05,
|
2114 |
+
"loss": 0.6486,
|
2115 |
+
"step": 1485
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 3.18,
|
2119 |
+
"grad_norm": 0.3780907094478607,
|
2120 |
+
"learning_rate": 1.8230277185501067e-05,
|
2121 |
+
"loss": 0.6672,
|
2122 |
+
"step": 1490
|
2123 |
+
},
|
2124 |
+
{
|
2125 |
+
"epoch": 3.19,
|
2126 |
+
"grad_norm": 0.23514017462730408,
|
2127 |
+
"learning_rate": 1.812366737739872e-05,
|
2128 |
+
"loss": 0.6668,
|
2129 |
+
"step": 1495
|
2130 |
+
},
|
2131 |
+
{
|
2132 |
+
"epoch": 3.2,
|
2133 |
+
"grad_norm": 0.18084169924259186,
|
2134 |
+
"learning_rate": 1.8017057569296376e-05,
|
2135 |
+
"loss": 0.6618,
|
2136 |
+
"step": 1500
|
2137 |
+
},
|
2138 |
+
{
|
2139 |
+
"epoch": 3.21,
|
2140 |
+
"grad_norm": 0.5182689428329468,
|
2141 |
+
"learning_rate": 1.791044776119403e-05,
|
2142 |
+
"loss": 0.6417,
|
2143 |
+
"step": 1505
|
2144 |
+
},
|
2145 |
+
{
|
2146 |
+
"epoch": 3.22,
|
2147 |
+
"grad_norm": 0.801882266998291,
|
2148 |
+
"learning_rate": 1.7803837953091686e-05,
|
2149 |
+
"loss": 0.6645,
|
2150 |
+
"step": 1510
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 3.23,
|
2154 |
+
"grad_norm": 0.18955937027931213,
|
2155 |
+
"learning_rate": 1.769722814498934e-05,
|
2156 |
+
"loss": 0.6887,
|
2157 |
+
"step": 1515
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 3.24,
|
2161 |
+
"grad_norm": 0.33656734228134155,
|
2162 |
+
"learning_rate": 1.7590618336886995e-05,
|
2163 |
+
"loss": 0.6597,
|
2164 |
+
"step": 1520
|
2165 |
+
},
|
2166 |
+
{
|
2167 |
+
"epoch": 3.25,
|
2168 |
+
"grad_norm": 0.19224336743354797,
|
2169 |
+
"learning_rate": 1.7484008528784647e-05,
|
2170 |
+
"loss": 0.6939,
|
2171 |
+
"step": 1525
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 3.26,
|
2175 |
+
"grad_norm": 0.30128347873687744,
|
2176 |
+
"learning_rate": 1.73773987206823e-05,
|
2177 |
+
"loss": 0.6853,
|
2178 |
+
"step": 1530
|
2179 |
+
},
|
2180 |
+
{
|
2181 |
+
"epoch": 3.27,
|
2182 |
+
"grad_norm": 0.4165492355823517,
|
2183 |
+
"learning_rate": 1.7270788912579956e-05,
|
2184 |
+
"loss": 0.6606,
|
2185 |
+
"step": 1535
|
2186 |
+
},
|
2187 |
+
{
|
2188 |
+
"epoch": 3.28,
|
2189 |
+
"grad_norm": 0.38350632786750793,
|
2190 |
+
"learning_rate": 1.716417910447761e-05,
|
2191 |
+
"loss": 0.6526,
|
2192 |
+
"step": 1540
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 3.29,
|
2196 |
+
"grad_norm": 0.5553402900695801,
|
2197 |
+
"learning_rate": 1.7057569296375266e-05,
|
2198 |
+
"loss": 0.6917,
|
2199 |
+
"step": 1545
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 3.3,
|
2203 |
+
"grad_norm": 0.38175731897354126,
|
2204 |
+
"learning_rate": 1.695095948827292e-05,
|
2205 |
+
"loss": 0.637,
|
2206 |
+
"step": 1550
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 3.32,
|
2210 |
+
"grad_norm": 0.6655339598655701,
|
2211 |
+
"learning_rate": 1.6844349680170575e-05,
|
2212 |
+
"loss": 0.6645,
|
2213 |
+
"step": 1555
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 3.33,
|
2217 |
+
"grad_norm": 0.31345900893211365,
|
2218 |
+
"learning_rate": 1.673773987206823e-05,
|
2219 |
+
"loss": 0.6746,
|
2220 |
+
"step": 1560
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 3.34,
|
2224 |
+
"grad_norm": 0.5527360439300537,
|
2225 |
+
"learning_rate": 1.6631130063965885e-05,
|
2226 |
+
"loss": 0.6596,
|
2227 |
+
"step": 1565
|
2228 |
+
},
|
2229 |
+
{
|
2230 |
+
"epoch": 3.35,
|
2231 |
+
"grad_norm": 0.2297668755054474,
|
2232 |
+
"learning_rate": 1.652452025586354e-05,
|
2233 |
+
"loss": 0.6798,
|
2234 |
+
"step": 1570
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 3.36,
|
2238 |
+
"grad_norm": 0.4209613502025604,
|
2239 |
+
"learning_rate": 1.6417910447761194e-05,
|
2240 |
+
"loss": 0.6866,
|
2241 |
+
"step": 1575
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 3.37,
|
2245 |
+
"grad_norm": 0.1880345642566681,
|
2246 |
+
"learning_rate": 1.631130063965885e-05,
|
2247 |
+
"loss": 0.6687,
|
2248 |
+
"step": 1580
|
2249 |
+
},
|
2250 |
+
{
|
2251 |
+
"epoch": 3.38,
|
2252 |
+
"grad_norm": 0.2493944764137268,
|
2253 |
+
"learning_rate": 1.6204690831556504e-05,
|
2254 |
+
"loss": 0.673,
|
2255 |
+
"step": 1585
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 3.39,
|
2259 |
+
"grad_norm": 0.1546977460384369,
|
2260 |
+
"learning_rate": 1.6098081023454158e-05,
|
2261 |
+
"loss": 0.6654,
|
2262 |
+
"step": 1590
|
2263 |
+
},
|
2264 |
+
{
|
2265 |
+
"epoch": 3.4,
|
2266 |
+
"grad_norm": 0.4542850852012634,
|
2267 |
+
"learning_rate": 1.5991471215351813e-05,
|
2268 |
+
"loss": 0.6897,
|
2269 |
+
"step": 1595
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 3.41,
|
2273 |
+
"grad_norm": 0.30015575885772705,
|
2274 |
+
"learning_rate": 1.5884861407249468e-05,
|
2275 |
+
"loss": 0.6784,
|
2276 |
+
"step": 1600
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 3.42,
|
2280 |
+
"grad_norm": 0.19910399615764618,
|
2281 |
+
"learning_rate": 1.5778251599147122e-05,
|
2282 |
+
"loss": 0.6695,
|
2283 |
+
"step": 1605
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 3.43,
|
2287 |
+
"grad_norm": 1.0947527885437012,
|
2288 |
+
"learning_rate": 1.5671641791044777e-05,
|
2289 |
+
"loss": 0.6715,
|
2290 |
+
"step": 1610
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 3.44,
|
2294 |
+
"grad_norm": 0.29615241289138794,
|
2295 |
+
"learning_rate": 1.5565031982942432e-05,
|
2296 |
+
"loss": 0.6926,
|
2297 |
+
"step": 1615
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 3.45,
|
2301 |
+
"grad_norm": 0.7357563376426697,
|
2302 |
+
"learning_rate": 1.5458422174840087e-05,
|
2303 |
+
"loss": 0.676,
|
2304 |
+
"step": 1620
|
2305 |
+
},
|
2306 |
+
{
|
2307 |
+
"epoch": 3.46,
|
2308 |
+
"grad_norm": 0.3963560461997986,
|
2309 |
+
"learning_rate": 1.535181236673774e-05,
|
2310 |
+
"loss": 0.6943,
|
2311 |
+
"step": 1625
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 3.48,
|
2315 |
+
"grad_norm": 0.7890651226043701,
|
2316 |
+
"learning_rate": 1.5245202558635396e-05,
|
2317 |
+
"loss": 0.6674,
|
2318 |
+
"step": 1630
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 3.49,
|
2322 |
+
"grad_norm": 0.34833666682243347,
|
2323 |
+
"learning_rate": 1.5138592750533051e-05,
|
2324 |
+
"loss": 0.6803,
|
2325 |
+
"step": 1635
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 3.5,
|
2329 |
+
"grad_norm": 0.3659195899963379,
|
2330 |
+
"learning_rate": 1.5031982942430706e-05,
|
2331 |
+
"loss": 0.6559,
|
2332 |
+
"step": 1640
|
2333 |
+
},
|
2334 |
+
{
|
2335 |
+
"epoch": 3.51,
|
2336 |
+
"grad_norm": 0.4654899835586548,
|
2337 |
+
"learning_rate": 1.4925373134328357e-05,
|
2338 |
+
"loss": 0.6859,
|
2339 |
+
"step": 1645
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 3.52,
|
2343 |
+
"grad_norm": 0.29908713698387146,
|
2344 |
+
"learning_rate": 1.4818763326226012e-05,
|
2345 |
+
"loss": 0.6877,
|
2346 |
+
"step": 1650
|
2347 |
+
},
|
2348 |
+
{
|
2349 |
+
"epoch": 3.53,
|
2350 |
+
"grad_norm": 0.20764610171318054,
|
2351 |
+
"learning_rate": 1.4712153518123666e-05,
|
2352 |
+
"loss": 0.6714,
|
2353 |
+
"step": 1655
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 3.54,
|
2357 |
+
"grad_norm": 0.3057771623134613,
|
2358 |
+
"learning_rate": 1.4605543710021321e-05,
|
2359 |
+
"loss": 0.68,
|
2360 |
+
"step": 1660
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 3.55,
|
2364 |
+
"grad_norm": 0.4783516824245453,
|
2365 |
+
"learning_rate": 1.4498933901918976e-05,
|
2366 |
+
"loss": 0.6582,
|
2367 |
+
"step": 1665
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 3.56,
|
2371 |
+
"grad_norm": 0.44634905457496643,
|
2372 |
+
"learning_rate": 1.439232409381663e-05,
|
2373 |
+
"loss": 0.6602,
|
2374 |
+
"step": 1670
|
2375 |
+
},
|
2376 |
+
{
|
2377 |
+
"epoch": 3.57,
|
2378 |
+
"grad_norm": 0.23565933108329773,
|
2379 |
+
"learning_rate": 1.4285714285714285e-05,
|
2380 |
+
"loss": 0.6701,
|
2381 |
+
"step": 1675
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 3.58,
|
2385 |
+
"grad_norm": 0.3964284658432007,
|
2386 |
+
"learning_rate": 1.417910447761194e-05,
|
2387 |
+
"loss": 0.6803,
|
2388 |
+
"step": 1680
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"epoch": 3.59,
|
2392 |
+
"grad_norm": 0.1792701780796051,
|
2393 |
+
"learning_rate": 1.4072494669509595e-05,
|
2394 |
+
"loss": 0.69,
|
2395 |
+
"step": 1685
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 3.6,
|
2399 |
+
"grad_norm": 0.2967628538608551,
|
2400 |
+
"learning_rate": 1.396588486140725e-05,
|
2401 |
+
"loss": 0.6374,
|
2402 |
+
"step": 1690
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 3.61,
|
2406 |
+
"grad_norm": 0.2924692928791046,
|
2407 |
+
"learning_rate": 1.3859275053304904e-05,
|
2408 |
+
"loss": 0.6933,
|
2409 |
+
"step": 1695
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 3.62,
|
2413 |
+
"grad_norm": 0.44005072116851807,
|
2414 |
+
"learning_rate": 1.3752665245202559e-05,
|
2415 |
+
"loss": 0.6913,
|
2416 |
+
"step": 1700
|
2417 |
+
},
|
2418 |
+
{
|
2419 |
+
"epoch": 3.64,
|
2420 |
+
"grad_norm": 0.27338188886642456,
|
2421 |
+
"learning_rate": 1.3646055437100214e-05,
|
2422 |
+
"loss": 0.6607,
|
2423 |
+
"step": 1705
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 3.65,
|
2427 |
+
"grad_norm": 0.54692143201828,
|
2428 |
+
"learning_rate": 1.3539445628997869e-05,
|
2429 |
+
"loss": 0.6474,
|
2430 |
+
"step": 1710
|
2431 |
+
},
|
2432 |
+
{
|
2433 |
+
"epoch": 3.66,
|
2434 |
+
"grad_norm": 0.2899147570133209,
|
2435 |
+
"learning_rate": 1.3432835820895523e-05,
|
2436 |
+
"loss": 0.6617,
|
2437 |
+
"step": 1715
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 3.67,
|
2441 |
+
"grad_norm": 0.853637158870697,
|
2442 |
+
"learning_rate": 1.3326226012793178e-05,
|
2443 |
+
"loss": 0.6652,
|
2444 |
+
"step": 1720
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 3.68,
|
2448 |
+
"grad_norm": 0.16075211763381958,
|
2449 |
+
"learning_rate": 1.3219616204690833e-05,
|
2450 |
+
"loss": 0.6644,
|
2451 |
+
"step": 1725
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 3.69,
|
2455 |
+
"grad_norm": 0.5768300890922546,
|
2456 |
+
"learning_rate": 1.3113006396588488e-05,
|
2457 |
+
"loss": 0.6407,
|
2458 |
+
"step": 1730
|
2459 |
+
},
|
2460 |
+
{
|
2461 |
+
"epoch": 3.7,
|
2462 |
+
"grad_norm": 0.36618074774742126,
|
2463 |
+
"learning_rate": 1.3006396588486142e-05,
|
2464 |
+
"loss": 0.631,
|
2465 |
+
"step": 1735
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 3.71,
|
2469 |
+
"grad_norm": 0.393250048160553,
|
2470 |
+
"learning_rate": 1.2899786780383797e-05,
|
2471 |
+
"loss": 0.6894,
|
2472 |
+
"step": 1740
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 3.72,
|
2476 |
+
"grad_norm": 0.16580410301685333,
|
2477 |
+
"learning_rate": 1.2793176972281452e-05,
|
2478 |
+
"loss": 0.6921,
|
2479 |
+
"step": 1745
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"epoch": 3.73,
|
2483 |
+
"grad_norm": 0.3606794476509094,
|
2484 |
+
"learning_rate": 1.2686567164179105e-05,
|
2485 |
+
"loss": 0.6484,
|
2486 |
+
"step": 1750
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 3.74,
|
2490 |
+
"grad_norm": 0.28691309690475464,
|
2491 |
+
"learning_rate": 1.257995735607676e-05,
|
2492 |
+
"loss": 0.6781,
|
2493 |
+
"step": 1755
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 3.75,
|
2497 |
+
"grad_norm": 0.6777899861335754,
|
2498 |
+
"learning_rate": 1.2473347547974414e-05,
|
2499 |
+
"loss": 0.6987,
|
2500 |
+
"step": 1760
|
2501 |
+
},
|
2502 |
+
{
|
2503 |
+
"epoch": 3.76,
|
2504 |
+
"grad_norm": 0.2805548310279846,
|
2505 |
+
"learning_rate": 1.2366737739872069e-05,
|
2506 |
+
"loss": 0.661,
|
2507 |
+
"step": 1765
|
2508 |
+
},
|
2509 |
+
{
|
2510 |
+
"epoch": 3.77,
|
2511 |
+
"grad_norm": 0.44818803668022156,
|
2512 |
+
"learning_rate": 1.2260127931769722e-05,
|
2513 |
+
"loss": 0.6558,
|
2514 |
+
"step": 1770
|
2515 |
+
},
|
2516 |
+
{
|
2517 |
+
"epoch": 3.78,
|
2518 |
+
"grad_norm": 0.564558207988739,
|
2519 |
+
"learning_rate": 1.2153518123667377e-05,
|
2520 |
+
"loss": 0.6883,
|
2521 |
+
"step": 1775
|
2522 |
+
},
|
2523 |
+
{
|
2524 |
+
"epoch": 3.8,
|
2525 |
+
"grad_norm": 0.49266985058784485,
|
2526 |
+
"learning_rate": 1.2046908315565032e-05,
|
2527 |
+
"loss": 0.6723,
|
2528 |
+
"step": 1780
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 3.81,
|
2532 |
+
"grad_norm": 0.5589272379875183,
|
2533 |
+
"learning_rate": 1.1940298507462686e-05,
|
2534 |
+
"loss": 0.6727,
|
2535 |
+
"step": 1785
|
2536 |
+
},
|
2537 |
+
{
|
2538 |
+
"epoch": 3.82,
|
2539 |
+
"grad_norm": 0.4831165373325348,
|
2540 |
+
"learning_rate": 1.1833688699360341e-05,
|
2541 |
+
"loss": 0.6545,
|
2542 |
+
"step": 1790
|
2543 |
+
},
|
2544 |
+
{
|
2545 |
+
"epoch": 3.83,
|
2546 |
+
"grad_norm": 0.2775633931159973,
|
2547 |
+
"learning_rate": 1.1727078891257996e-05,
|
2548 |
+
"loss": 0.6586,
|
2549 |
+
"step": 1795
|
2550 |
+
},
|
2551 |
+
{
|
2552 |
+
"epoch": 3.84,
|
2553 |
+
"grad_norm": 0.43390023708343506,
|
2554 |
+
"learning_rate": 1.162046908315565e-05,
|
2555 |
+
"loss": 0.671,
|
2556 |
+
"step": 1800
|
2557 |
+
},
|
2558 |
+
{
|
2559 |
+
"epoch": 3.85,
|
2560 |
+
"grad_norm": 0.1472308337688446,
|
2561 |
+
"learning_rate": 1.1513859275053305e-05,
|
2562 |
+
"loss": 0.6629,
|
2563 |
+
"step": 1805
|
2564 |
+
},
|
2565 |
+
{
|
2566 |
+
"epoch": 3.86,
|
2567 |
+
"grad_norm": 0.21258753538131714,
|
2568 |
+
"learning_rate": 1.140724946695096e-05,
|
2569 |
+
"loss": 0.7005,
|
2570 |
+
"step": 1810
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"epoch": 3.87,
|
2574 |
+
"grad_norm": 0.13851375877857208,
|
2575 |
+
"learning_rate": 1.1300639658848615e-05,
|
2576 |
+
"loss": 0.6705,
|
2577 |
+
"step": 1815
|
2578 |
+
},
|
2579 |
+
{
|
2580 |
+
"epoch": 3.88,
|
2581 |
+
"grad_norm": 0.2994244694709778,
|
2582 |
+
"learning_rate": 1.119402985074627e-05,
|
2583 |
+
"loss": 0.6877,
|
2584 |
+
"step": 1820
|
2585 |
+
},
|
2586 |
+
{
|
2587 |
+
"epoch": 3.89,
|
2588 |
+
"grad_norm": 0.3223628103733063,
|
2589 |
+
"learning_rate": 1.1087420042643924e-05,
|
2590 |
+
"loss": 0.6503,
|
2591 |
+
"step": 1825
|
2592 |
+
},
|
2593 |
+
{
|
2594 |
+
"epoch": 3.9,
|
2595 |
+
"grad_norm": 1.3159940242767334,
|
2596 |
+
"learning_rate": 1.0980810234541579e-05,
|
2597 |
+
"loss": 0.6736,
|
2598 |
+
"step": 1830
|
2599 |
+
},
|
2600 |
+
{
|
2601 |
+
"epoch": 3.91,
|
2602 |
+
"grad_norm": 0.47484922409057617,
|
2603 |
+
"learning_rate": 1.0874200426439234e-05,
|
2604 |
+
"loss": 0.6631,
|
2605 |
+
"step": 1835
|
2606 |
+
},
|
2607 |
+
{
|
2608 |
+
"epoch": 3.92,
|
2609 |
+
"grad_norm": 1.052727222442627,
|
2610 |
+
"learning_rate": 1.0767590618336887e-05,
|
2611 |
+
"loss": 0.6596,
|
2612 |
+
"step": 1840
|
2613 |
+
},
|
2614 |
+
{
|
2615 |
+
"epoch": 3.93,
|
2616 |
+
"grad_norm": 0.315295934677124,
|
2617 |
+
"learning_rate": 1.0660980810234541e-05,
|
2618 |
+
"loss": 0.686,
|
2619 |
+
"step": 1845
|
2620 |
+
},
|
2621 |
+
{
|
2622 |
+
"epoch": 3.94,
|
2623 |
+
"grad_norm": 0.2225022166967392,
|
2624 |
+
"learning_rate": 1.0554371002132196e-05,
|
2625 |
+
"loss": 0.6945,
|
2626 |
+
"step": 1850
|
2627 |
+
},
|
2628 |
+
{
|
2629 |
+
"epoch": 3.96,
|
2630 |
+
"grad_norm": 0.28455567359924316,
|
2631 |
+
"learning_rate": 1.0447761194029851e-05,
|
2632 |
+
"loss": 0.6731,
|
2633 |
+
"step": 1855
|
2634 |
+
},
|
2635 |
+
{
|
2636 |
+
"epoch": 3.97,
|
2637 |
+
"grad_norm": 0.34978070855140686,
|
2638 |
+
"learning_rate": 1.0341151385927506e-05,
|
2639 |
+
"loss": 0.6743,
|
2640 |
+
"step": 1860
|
2641 |
+
},
|
2642 |
+
{
|
2643 |
+
"epoch": 3.98,
|
2644 |
+
"grad_norm": 0.44299939274787903,
|
2645 |
+
"learning_rate": 1.023454157782516e-05,
|
2646 |
+
"loss": 0.7111,
|
2647 |
+
"step": 1865
|
2648 |
+
},
|
2649 |
+
{
|
2650 |
+
"epoch": 3.99,
|
2651 |
+
"grad_norm": 0.7539863586425781,
|
2652 |
+
"learning_rate": 1.0127931769722815e-05,
|
2653 |
+
"loss": 0.6464,
|
2654 |
+
"step": 1870
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 4.0,
|
2658 |
+
"grad_norm": 0.5005848407745361,
|
2659 |
+
"learning_rate": 1.002132196162047e-05,
|
2660 |
+
"loss": 0.6937,
|
2661 |
+
"step": 1875
|
2662 |
+
},
|
2663 |
+
{
|
2664 |
+
"epoch": 4.0,
|
2665 |
+
"eval_accuracy": 0.5789333333333333,
|
2666 |
+
"eval_loss": 0.6769688129425049,
|
2667 |
+
"eval_runtime": 17.8906,
|
2668 |
+
"eval_samples_per_second": 209.608,
|
2669 |
+
"eval_steps_per_second": 6.596,
|
2670 |
+
"step": 1876
|
2671 |
+
},
|
2672 |
+
{
|
2673 |
+
"epoch": 4.01,
|
2674 |
+
"grad_norm": 0.39526981115341187,
|
2675 |
+
"learning_rate": 9.914712153518125e-06,
|
2676 |
+
"loss": 0.6529,
|
2677 |
+
"step": 1880
|
2678 |
+
},
|
2679 |
+
{
|
2680 |
+
"epoch": 4.02,
|
2681 |
+
"grad_norm": 0.5626300573348999,
|
2682 |
+
"learning_rate": 9.80810234541578e-06,
|
2683 |
+
"loss": 0.6536,
|
2684 |
+
"step": 1885
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 4.03,
|
2688 |
+
"grad_norm": 1.011904239654541,
|
2689 |
+
"learning_rate": 9.701492537313434e-06,
|
2690 |
+
"loss": 0.6832,
|
2691 |
+
"step": 1890
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 4.04,
|
2695 |
+
"grad_norm": 0.20950503647327423,
|
2696 |
+
"learning_rate": 9.594882729211089e-06,
|
2697 |
+
"loss": 0.6743,
|
2698 |
+
"step": 1895
|
2699 |
+
},
|
2700 |
+
{
|
2701 |
+
"epoch": 4.05,
|
2702 |
+
"grad_norm": 0.4118889570236206,
|
2703 |
+
"learning_rate": 9.488272921108744e-06,
|
2704 |
+
"loss": 0.6909,
|
2705 |
+
"step": 1900
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 4.06,
|
2709 |
+
"grad_norm": 0.18626834452152252,
|
2710 |
+
"learning_rate": 9.381663113006398e-06,
|
2711 |
+
"loss": 0.705,
|
2712 |
+
"step": 1905
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 4.07,
|
2716 |
+
"grad_norm": 0.2255084216594696,
|
2717 |
+
"learning_rate": 9.275053304904053e-06,
|
2718 |
+
"loss": 0.6689,
|
2719 |
+
"step": 1910
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 4.08,
|
2723 |
+
"grad_norm": 0.32827380299568176,
|
2724 |
+
"learning_rate": 9.168443496801706e-06,
|
2725 |
+
"loss": 0.6667,
|
2726 |
+
"step": 1915
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 4.09,
|
2730 |
+
"grad_norm": 0.452370285987854,
|
2731 |
+
"learning_rate": 9.06183368869936e-06,
|
2732 |
+
"loss": 0.6925,
|
2733 |
+
"step": 1920
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 4.1,
|
2737 |
+
"grad_norm": 0.42745348811149597,
|
2738 |
+
"learning_rate": 8.955223880597016e-06,
|
2739 |
+
"loss": 0.6615,
|
2740 |
+
"step": 1925
|
2741 |
+
},
|
2742 |
+
{
|
2743 |
+
"epoch": 4.12,
|
2744 |
+
"grad_norm": 0.1782078742980957,
|
2745 |
+
"learning_rate": 8.84861407249467e-06,
|
2746 |
+
"loss": 0.6755,
|
2747 |
+
"step": 1930
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 4.13,
|
2751 |
+
"grad_norm": 1.2486790418624878,
|
2752 |
+
"learning_rate": 8.742004264392323e-06,
|
2753 |
+
"loss": 0.6598,
|
2754 |
+
"step": 1935
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 4.14,
|
2758 |
+
"grad_norm": 0.19132310152053833,
|
2759 |
+
"learning_rate": 8.635394456289978e-06,
|
2760 |
+
"loss": 0.6543,
|
2761 |
+
"step": 1940
|
2762 |
+
},
|
2763 |
+
{
|
2764 |
+
"epoch": 4.15,
|
2765 |
+
"grad_norm": 0.796686589717865,
|
2766 |
+
"learning_rate": 8.528784648187633e-06,
|
2767 |
+
"loss": 0.6576,
|
2768 |
+
"step": 1945
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 4.16,
|
2772 |
+
"grad_norm": 0.17676232755184174,
|
2773 |
+
"learning_rate": 8.422174840085288e-06,
|
2774 |
+
"loss": 0.6948,
|
2775 |
+
"step": 1950
|
2776 |
+
},
|
2777 |
+
{
|
2778 |
+
"epoch": 4.17,
|
2779 |
+
"grad_norm": 0.22592103481292725,
|
2780 |
+
"learning_rate": 8.315565031982942e-06,
|
2781 |
+
"loss": 0.678,
|
2782 |
+
"step": 1955
|
2783 |
+
},
|
2784 |
+
{
|
2785 |
+
"epoch": 4.18,
|
2786 |
+
"grad_norm": 0.3258933126926422,
|
2787 |
+
"learning_rate": 8.208955223880597e-06,
|
2788 |
+
"loss": 0.6767,
|
2789 |
+
"step": 1960
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 4.19,
|
2793 |
+
"grad_norm": 0.2841905653476715,
|
2794 |
+
"learning_rate": 8.102345415778252e-06,
|
2795 |
+
"loss": 0.6907,
|
2796 |
+
"step": 1965
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 4.2,
|
2800 |
+
"grad_norm": 0.19143372774124146,
|
2801 |
+
"learning_rate": 7.995735607675907e-06,
|
2802 |
+
"loss": 0.6424,
|
2803 |
+
"step": 1970
|
2804 |
+
},
|
2805 |
+
{
|
2806 |
+
"epoch": 4.21,
|
2807 |
+
"grad_norm": 0.5144029259681702,
|
2808 |
+
"learning_rate": 7.889125799573561e-06,
|
2809 |
+
"loss": 0.6666,
|
2810 |
+
"step": 1975
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 4.22,
|
2814 |
+
"grad_norm": 0.20798300206661224,
|
2815 |
+
"learning_rate": 7.782515991471216e-06,
|
2816 |
+
"loss": 0.6561,
|
2817 |
+
"step": 1980
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"epoch": 4.23,
|
2821 |
+
"grad_norm": 0.5507712960243225,
|
2822 |
+
"learning_rate": 7.67590618336887e-06,
|
2823 |
+
"loss": 0.6582,
|
2824 |
+
"step": 1985
|
2825 |
+
},
|
2826 |
+
{
|
2827 |
+
"epoch": 4.24,
|
2828 |
+
"grad_norm": 0.2972014546394348,
|
2829 |
+
"learning_rate": 7.5692963752665255e-06,
|
2830 |
+
"loss": 0.6903,
|
2831 |
+
"step": 1990
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 4.25,
|
2835 |
+
"grad_norm": 0.5243217349052429,
|
2836 |
+
"learning_rate": 7.4626865671641785e-06,
|
2837 |
+
"loss": 0.6516,
|
2838 |
+
"step": 1995
|
2839 |
+
},
|
2840 |
+
{
|
2841 |
+
"epoch": 4.26,
|
2842 |
+
"grad_norm": 0.2954091727733612,
|
2843 |
+
"learning_rate": 7.356076759061833e-06,
|
2844 |
+
"loss": 0.6873,
|
2845 |
+
"step": 2000
|
2846 |
+
},
|
2847 |
+
{
|
2848 |
+
"epoch": 4.28,
|
2849 |
+
"grad_norm": 0.42244890332221985,
|
2850 |
+
"learning_rate": 7.249466950959488e-06,
|
2851 |
+
"loss": 0.6707,
|
2852 |
+
"step": 2005
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 4.29,
|
2856 |
+
"grad_norm": 0.7245458364486694,
|
2857 |
+
"learning_rate": 7.142857142857143e-06,
|
2858 |
+
"loss": 0.6705,
|
2859 |
+
"step": 2010
|
2860 |
+
},
|
2861 |
+
{
|
2862 |
+
"epoch": 4.3,
|
2863 |
+
"grad_norm": 0.5897809863090515,
|
2864 |
+
"learning_rate": 7.0362473347547975e-06,
|
2865 |
+
"loss": 0.6536,
|
2866 |
+
"step": 2015
|
2867 |
+
},
|
2868 |
+
{
|
2869 |
+
"epoch": 4.31,
|
2870 |
+
"grad_norm": 0.7268871665000916,
|
2871 |
+
"learning_rate": 6.929637526652452e-06,
|
2872 |
+
"loss": 0.6987,
|
2873 |
+
"step": 2020
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 4.32,
|
2877 |
+
"grad_norm": 0.7317787408828735,
|
2878 |
+
"learning_rate": 6.823027718550107e-06,
|
2879 |
+
"loss": 0.67,
|
2880 |
+
"step": 2025
|
2881 |
+
},
|
2882 |
+
{
|
2883 |
+
"epoch": 4.33,
|
2884 |
+
"grad_norm": 0.21886880695819855,
|
2885 |
+
"learning_rate": 6.716417910447762e-06,
|
2886 |
+
"loss": 0.667,
|
2887 |
+
"step": 2030
|
2888 |
+
},
|
2889 |
+
{
|
2890 |
+
"epoch": 4.34,
|
2891 |
+
"grad_norm": 0.3600420355796814,
|
2892 |
+
"learning_rate": 6.609808102345416e-06,
|
2893 |
+
"loss": 0.6832,
|
2894 |
+
"step": 2035
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 4.35,
|
2898 |
+
"grad_norm": 0.708007276058197,
|
2899 |
+
"learning_rate": 6.503198294243071e-06,
|
2900 |
+
"loss": 0.6739,
|
2901 |
+
"step": 2040
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 4.36,
|
2905 |
+
"grad_norm": 1.6473708152770996,
|
2906 |
+
"learning_rate": 6.396588486140726e-06,
|
2907 |
+
"loss": 0.6487,
|
2908 |
+
"step": 2045
|
2909 |
+
},
|
2910 |
+
{
|
2911 |
+
"epoch": 4.37,
|
2912 |
+
"grad_norm": 0.6396905779838562,
|
2913 |
+
"learning_rate": 6.28997867803838e-06,
|
2914 |
+
"loss": 0.6816,
|
2915 |
+
"step": 2050
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 4.38,
|
2919 |
+
"grad_norm": 0.16320891678333282,
|
2920 |
+
"learning_rate": 6.1833688699360345e-06,
|
2921 |
+
"loss": 0.6707,
|
2922 |
+
"step": 2055
|
2923 |
+
},
|
2924 |
+
{
|
2925 |
+
"epoch": 4.39,
|
2926 |
+
"grad_norm": 0.5632389187812805,
|
2927 |
+
"learning_rate": 6.076759061833688e-06,
|
2928 |
+
"loss": 0.6798,
|
2929 |
+
"step": 2060
|
2930 |
+
},
|
2931 |
+
{
|
2932 |
+
"epoch": 4.4,
|
2933 |
+
"grad_norm": 0.322733610868454,
|
2934 |
+
"learning_rate": 5.970149253731343e-06,
|
2935 |
+
"loss": 0.6486,
|
2936 |
+
"step": 2065
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 4.41,
|
2940 |
+
"grad_norm": 0.9542133212089539,
|
2941 |
+
"learning_rate": 5.863539445628998e-06,
|
2942 |
+
"loss": 0.6671,
|
2943 |
+
"step": 2070
|
2944 |
+
},
|
2945 |
+
{
|
2946 |
+
"epoch": 4.42,
|
2947 |
+
"grad_norm": 0.21736344695091248,
|
2948 |
+
"learning_rate": 5.756929637526653e-06,
|
2949 |
+
"loss": 0.6549,
|
2950 |
+
"step": 2075
|
2951 |
+
},
|
2952 |
+
{
|
2953 |
+
"epoch": 4.43,
|
2954 |
+
"grad_norm": 0.28586217761039734,
|
2955 |
+
"learning_rate": 5.650319829424307e-06,
|
2956 |
+
"loss": 0.6457,
|
2957 |
+
"step": 2080
|
2958 |
+
},
|
2959 |
+
{
|
2960 |
+
"epoch": 4.45,
|
2961 |
+
"grad_norm": 0.7068216800689697,
|
2962 |
+
"learning_rate": 5.543710021321962e-06,
|
2963 |
+
"loss": 0.6562,
|
2964 |
+
"step": 2085
|
2965 |
+
},
|
2966 |
+
{
|
2967 |
+
"epoch": 4.46,
|
2968 |
+
"grad_norm": 0.2828645408153534,
|
2969 |
+
"learning_rate": 5.437100213219617e-06,
|
2970 |
+
"loss": 0.6714,
|
2971 |
+
"step": 2090
|
2972 |
+
},
|
2973 |
+
{
|
2974 |
+
"epoch": 4.47,
|
2975 |
+
"grad_norm": 0.4406694173812866,
|
2976 |
+
"learning_rate": 5.330490405117271e-06,
|
2977 |
+
"loss": 0.6552,
|
2978 |
+
"step": 2095
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 4.48,
|
2982 |
+
"grad_norm": 0.3138512670993805,
|
2983 |
+
"learning_rate": 5.2238805970149255e-06,
|
2984 |
+
"loss": 0.646,
|
2985 |
+
"step": 2100
|
2986 |
+
},
|
2987 |
+
{
|
2988 |
+
"epoch": 4.49,
|
2989 |
+
"grad_norm": 0.3833194971084595,
|
2990 |
+
"learning_rate": 5.11727078891258e-06,
|
2991 |
+
"loss": 0.6898,
|
2992 |
+
"step": 2105
|
2993 |
+
},
|
2994 |
+
{
|
2995 |
+
"epoch": 4.5,
|
2996 |
+
"grad_norm": 0.5406767129898071,
|
2997 |
+
"learning_rate": 5.010660980810235e-06,
|
2998 |
+
"loss": 0.6603,
|
2999 |
+
"step": 2110
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"epoch": 4.51,
|
3003 |
+
"grad_norm": 0.3065316379070282,
|
3004 |
+
"learning_rate": 4.90405117270789e-06,
|
3005 |
+
"loss": 0.688,
|
3006 |
+
"step": 2115
|
3007 |
+
},
|
3008 |
+
{
|
3009 |
+
"epoch": 4.52,
|
3010 |
+
"grad_norm": 0.17264671623706818,
|
3011 |
+
"learning_rate": 4.797441364605544e-06,
|
3012 |
+
"loss": 0.6723,
|
3013 |
+
"step": 2120
|
3014 |
+
},
|
3015 |
+
{
|
3016 |
+
"epoch": 4.53,
|
3017 |
+
"grad_norm": 0.2249528020620346,
|
3018 |
+
"learning_rate": 4.690831556503199e-06,
|
3019 |
+
"loss": 0.6521,
|
3020 |
+
"step": 2125
|
3021 |
+
},
|
3022 |
+
{
|
3023 |
+
"epoch": 4.54,
|
3024 |
+
"grad_norm": 0.21267692744731903,
|
3025 |
+
"learning_rate": 4.584221748400853e-06,
|
3026 |
+
"loss": 0.6599,
|
3027 |
+
"step": 2130
|
3028 |
+
},
|
3029 |
+
{
|
3030 |
+
"epoch": 4.55,
|
3031 |
+
"grad_norm": 0.24561788141727448,
|
3032 |
+
"learning_rate": 4.477611940298508e-06,
|
3033 |
+
"loss": 0.6713,
|
3034 |
+
"step": 2135
|
3035 |
+
},
|
3036 |
+
{
|
3037 |
+
"epoch": 4.56,
|
3038 |
+
"grad_norm": 1.0180352926254272,
|
3039 |
+
"learning_rate": 4.371002132196162e-06,
|
3040 |
+
"loss": 0.6565,
|
3041 |
+
"step": 2140
|
3042 |
+
},
|
3043 |
+
{
|
3044 |
+
"epoch": 4.57,
|
3045 |
+
"grad_norm": 0.5230167508125305,
|
3046 |
+
"learning_rate": 4.264392324093816e-06,
|
3047 |
+
"loss": 0.6575,
|
3048 |
+
"step": 2145
|
3049 |
+
},
|
3050 |
+
{
|
3051 |
+
"epoch": 4.58,
|
3052 |
+
"grad_norm": 0.6080590486526489,
|
3053 |
+
"learning_rate": 4.157782515991471e-06,
|
3054 |
+
"loss": 0.6781,
|
3055 |
+
"step": 2150
|
3056 |
+
},
|
3057 |
+
{
|
3058 |
+
"epoch": 4.59,
|
3059 |
+
"grad_norm": 0.394972026348114,
|
3060 |
+
"learning_rate": 4.051172707889126e-06,
|
3061 |
+
"loss": 0.6932,
|
3062 |
+
"step": 2155
|
3063 |
+
},
|
3064 |
+
{
|
3065 |
+
"epoch": 4.61,
|
3066 |
+
"grad_norm": 0.9278691411018372,
|
3067 |
+
"learning_rate": 3.944562899786781e-06,
|
3068 |
+
"loss": 0.6283,
|
3069 |
+
"step": 2160
|
3070 |
+
},
|
3071 |
+
{
|
3072 |
+
"epoch": 4.62,
|
3073 |
+
"grad_norm": 0.3256765305995941,
|
3074 |
+
"learning_rate": 3.837953091684435e-06,
|
3075 |
+
"loss": 0.6811,
|
3076 |
+
"step": 2165
|
3077 |
+
},
|
3078 |
+
{
|
3079 |
+
"epoch": 4.63,
|
3080 |
+
"grad_norm": 0.43106502294540405,
|
3081 |
+
"learning_rate": 3.7313432835820893e-06,
|
3082 |
+
"loss": 0.6642,
|
3083 |
+
"step": 2170
|
3084 |
+
},
|
3085 |
+
{
|
3086 |
+
"epoch": 4.64,
|
3087 |
+
"grad_norm": 0.26512110233306885,
|
3088 |
+
"learning_rate": 3.624733475479744e-06,
|
3089 |
+
"loss": 0.6548,
|
3090 |
+
"step": 2175
|
3091 |
+
},
|
3092 |
+
{
|
3093 |
+
"epoch": 4.65,
|
3094 |
+
"grad_norm": 0.7567458152770996,
|
3095 |
+
"learning_rate": 3.5181236673773987e-06,
|
3096 |
+
"loss": 0.693,
|
3097 |
+
"step": 2180
|
3098 |
+
},
|
3099 |
+
{
|
3100 |
+
"epoch": 4.66,
|
3101 |
+
"grad_norm": 0.6813324689865112,
|
3102 |
+
"learning_rate": 3.4115138592750535e-06,
|
3103 |
+
"loss": 0.6453,
|
3104 |
+
"step": 2185
|
3105 |
+
},
|
3106 |
+
{
|
3107 |
+
"epoch": 4.67,
|
3108 |
+
"grad_norm": 0.5289140939712524,
|
3109 |
+
"learning_rate": 3.304904051172708e-06,
|
3110 |
+
"loss": 0.6952,
|
3111 |
+
"step": 2190
|
3112 |
+
},
|
3113 |
+
{
|
3114 |
+
"epoch": 4.68,
|
3115 |
+
"grad_norm": 0.32925984263420105,
|
3116 |
+
"learning_rate": 3.198294243070363e-06,
|
3117 |
+
"loss": 0.6705,
|
3118 |
+
"step": 2195
|
3119 |
+
},
|
3120 |
+
{
|
3121 |
+
"epoch": 4.69,
|
3122 |
+
"grad_norm": 0.15043401718139648,
|
3123 |
+
"learning_rate": 3.0916844349680173e-06,
|
3124 |
+
"loss": 0.6799,
|
3125 |
+
"step": 2200
|
3126 |
+
},
|
3127 |
+
{
|
3128 |
+
"epoch": 4.7,
|
3129 |
+
"grad_norm": 0.21513478457927704,
|
3130 |
+
"learning_rate": 2.9850746268656716e-06,
|
3131 |
+
"loss": 0.6346,
|
3132 |
+
"step": 2205
|
3133 |
+
},
|
3134 |
+
{
|
3135 |
+
"epoch": 4.71,
|
3136 |
+
"grad_norm": 0.5901110172271729,
|
3137 |
+
"learning_rate": 2.8784648187633263e-06,
|
3138 |
+
"loss": 0.6564,
|
3139 |
+
"step": 2210
|
3140 |
+
},
|
3141 |
+
{
|
3142 |
+
"epoch": 4.72,
|
3143 |
+
"grad_norm": 0.18733665347099304,
|
3144 |
+
"learning_rate": 2.771855010660981e-06,
|
3145 |
+
"loss": 0.6512,
|
3146 |
+
"step": 2215
|
3147 |
+
},
|
3148 |
+
{
|
3149 |
+
"epoch": 4.73,
|
3150 |
+
"grad_norm": 0.7170325517654419,
|
3151 |
+
"learning_rate": 2.6652452025586354e-06,
|
3152 |
+
"loss": 0.6693,
|
3153 |
+
"step": 2220
|
3154 |
+
},
|
3155 |
+
{
|
3156 |
+
"epoch": 4.74,
|
3157 |
+
"grad_norm": 0.5361260175704956,
|
3158 |
+
"learning_rate": 2.55863539445629e-06,
|
3159 |
+
"loss": 0.6719,
|
3160 |
+
"step": 2225
|
3161 |
+
},
|
3162 |
+
{
|
3163 |
+
"epoch": 4.75,
|
3164 |
+
"grad_norm": 0.5559740662574768,
|
3165 |
+
"learning_rate": 2.452025586353945e-06,
|
3166 |
+
"loss": 0.6548,
|
3167 |
+
"step": 2230
|
3168 |
+
},
|
3169 |
+
{
|
3170 |
+
"epoch": 4.77,
|
3171 |
+
"grad_norm": 0.4540775716304779,
|
3172 |
+
"learning_rate": 2.3454157782515996e-06,
|
3173 |
+
"loss": 0.6915,
|
3174 |
+
"step": 2235
|
3175 |
+
},
|
3176 |
+
{
|
3177 |
+
"epoch": 4.78,
|
3178 |
+
"grad_norm": 0.16333653032779694,
|
3179 |
+
"learning_rate": 2.238805970149254e-06,
|
3180 |
+
"loss": 0.661,
|
3181 |
+
"step": 2240
|
3182 |
+
},
|
3183 |
+
{
|
3184 |
+
"epoch": 4.79,
|
3185 |
+
"grad_norm": 1.2140674591064453,
|
3186 |
+
"learning_rate": 2.132196162046908e-06,
|
3187 |
+
"loss": 0.6485,
|
3188 |
+
"step": 2245
|
3189 |
+
},
|
3190 |
+
{
|
3191 |
+
"epoch": 4.8,
|
3192 |
+
"grad_norm": 0.48497453331947327,
|
3193 |
+
"learning_rate": 2.025586353944563e-06,
|
3194 |
+
"loss": 0.682,
|
3195 |
+
"step": 2250
|
3196 |
+
},
|
3197 |
+
{
|
3198 |
+
"epoch": 4.81,
|
3199 |
+
"grad_norm": 0.5769209265708923,
|
3200 |
+
"learning_rate": 1.9189765458422177e-06,
|
3201 |
+
"loss": 0.6674,
|
3202 |
+
"step": 2255
|
3203 |
+
},
|
3204 |
+
{
|
3205 |
+
"epoch": 4.82,
|
3206 |
+
"grad_norm": 0.3388761579990387,
|
3207 |
+
"learning_rate": 1.812366737739872e-06,
|
3208 |
+
"loss": 0.6814,
|
3209 |
+
"step": 2260
|
3210 |
+
},
|
3211 |
+
{
|
3212 |
+
"epoch": 4.83,
|
3213 |
+
"grad_norm": 0.380491703748703,
|
3214 |
+
"learning_rate": 1.7057569296375267e-06,
|
3215 |
+
"loss": 0.6464,
|
3216 |
+
"step": 2265
|
3217 |
+
},
|
3218 |
+
{
|
3219 |
+
"epoch": 4.84,
|
3220 |
+
"grad_norm": 0.4902530610561371,
|
3221 |
+
"learning_rate": 1.5991471215351815e-06,
|
3222 |
+
"loss": 0.6572,
|
3223 |
+
"step": 2270
|
3224 |
+
},
|
3225 |
+
{
|
3226 |
+
"epoch": 4.85,
|
3227 |
+
"grad_norm": 1.4383553266525269,
|
3228 |
+
"learning_rate": 1.4925373134328358e-06,
|
3229 |
+
"loss": 0.6834,
|
3230 |
+
"step": 2275
|
3231 |
+
},
|
3232 |
+
{
|
3233 |
+
"epoch": 4.86,
|
3234 |
+
"grad_norm": 0.4202342927455902,
|
3235 |
+
"learning_rate": 1.3859275053304905e-06,
|
3236 |
+
"loss": 0.6597,
|
3237 |
+
"step": 2280
|
3238 |
+
},
|
3239 |
+
{
|
3240 |
+
"epoch": 4.87,
|
3241 |
+
"grad_norm": 0.6906626224517822,
|
3242 |
+
"learning_rate": 1.279317697228145e-06,
|
3243 |
+
"loss": 0.6891,
|
3244 |
+
"step": 2285
|
3245 |
+
},
|
3246 |
+
{
|
3247 |
+
"epoch": 4.88,
|
3248 |
+
"grad_norm": 0.36534583568573,
|
3249 |
+
"learning_rate": 1.1727078891257998e-06,
|
3250 |
+
"loss": 0.6654,
|
3251 |
+
"step": 2290
|
3252 |
+
},
|
3253 |
+
{
|
3254 |
+
"epoch": 4.89,
|
3255 |
+
"grad_norm": 0.22818098962306976,
|
3256 |
+
"learning_rate": 1.066098081023454e-06,
|
3257 |
+
"loss": 0.641,
|
3258 |
+
"step": 2295
|
3259 |
+
},
|
3260 |
+
{
|
3261 |
+
"epoch": 4.9,
|
3262 |
+
"grad_norm": 1.2233145236968994,
|
3263 |
+
"learning_rate": 9.594882729211088e-07,
|
3264 |
+
"loss": 0.6369,
|
3265 |
+
"step": 2300
|
3266 |
+
},
|
3267 |
+
{
|
3268 |
+
"epoch": 4.91,
|
3269 |
+
"grad_norm": 0.2983638346195221,
|
3270 |
+
"learning_rate": 8.528784648187634e-07,
|
3271 |
+
"loss": 0.6589,
|
3272 |
+
"step": 2305
|
3273 |
+
},
|
3274 |
+
{
|
3275 |
+
"epoch": 4.93,
|
3276 |
+
"grad_norm": 0.5600255131721497,
|
3277 |
+
"learning_rate": 7.462686567164179e-07,
|
3278 |
+
"loss": 0.642,
|
3279 |
+
"step": 2310
|
3280 |
+
},
|
3281 |
+
{
|
3282 |
+
"epoch": 4.94,
|
3283 |
+
"grad_norm": 0.271295964717865,
|
3284 |
+
"learning_rate": 6.396588486140725e-07,
|
3285 |
+
"loss": 0.6882,
|
3286 |
+
"step": 2315
|
3287 |
+
},
|
3288 |
+
{
|
3289 |
+
"epoch": 4.95,
|
3290 |
+
"grad_norm": 0.3047320246696472,
|
3291 |
+
"learning_rate": 5.33049040511727e-07,
|
3292 |
+
"loss": 0.6622,
|
3293 |
+
"step": 2320
|
3294 |
+
},
|
3295 |
+
{
|
3296 |
+
"epoch": 4.96,
|
3297 |
+
"grad_norm": 0.2932121753692627,
|
3298 |
+
"learning_rate": 4.264392324093817e-07,
|
3299 |
+
"loss": 0.6658,
|
3300 |
+
"step": 2325
|
3301 |
+
},
|
3302 |
+
{
|
3303 |
+
"epoch": 4.97,
|
3304 |
+
"grad_norm": 0.9874823689460754,
|
3305 |
+
"learning_rate": 3.1982942430703626e-07,
|
3306 |
+
"loss": 0.6619,
|
3307 |
+
"step": 2330
|
3308 |
+
},
|
3309 |
+
{
|
3310 |
+
"epoch": 4.98,
|
3311 |
+
"grad_norm": 0.6264281272888184,
|
3312 |
+
"learning_rate": 2.1321961620469084e-07,
|
3313 |
+
"loss": 0.678,
|
3314 |
+
"step": 2335
|
3315 |
+
},
|
3316 |
+
{
|
3317 |
+
"epoch": 4.99,
|
3318 |
+
"grad_norm": 0.49118179082870483,
|
3319 |
+
"learning_rate": 1.0660980810234542e-07,
|
3320 |
+
"loss": 0.702,
|
3321 |
+
"step": 2340
|
3322 |
+
},
|
3323 |
+
{
|
3324 |
+
"epoch": 5.0,
|
3325 |
+
"grad_norm": 0.45167651772499084,
|
3326 |
+
"learning_rate": 0.0,
|
3327 |
+
"loss": 0.6723,
|
3328 |
+
"step": 2345
|
3329 |
+
},
|
3330 |
+
{
|
3331 |
+
"epoch": 5.0,
|
3332 |
+
"eval_accuracy": 0.5736,
|
3333 |
+
"eval_loss": 0.6760911345481873,
|
3334 |
+
"eval_runtime": 17.4911,
|
3335 |
+
"eval_samples_per_second": 214.395,
|
3336 |
+
"eval_steps_per_second": 6.746,
|
3337 |
+
"step": 2345
|
3338 |
+
},
|
3339 |
+
{
|
3340 |
+
"epoch": 5.0,
|
3341 |
+
"step": 2345,
|
3342 |
+
"total_flos": 5.8118992210944e+18,
|
3343 |
+
"train_loss": 0.6811762883973275,
|
3344 |
+
"train_runtime": 808.2731,
|
3345 |
+
"train_samples_per_second": 92.79,
|
3346 |
+
"train_steps_per_second": 2.901
|
3347 |
+
}
|
3348 |
+
],
|
3349 |
+
"logging_steps": 5,
|
3350 |
+
"max_steps": 2345,
|
3351 |
+
"num_input_tokens_seen": 0,
|
3352 |
+
"num_train_epochs": 5,
|
3353 |
+
"save_steps": 500,
|
3354 |
+
"total_flos": 5.8118992210944e+18,
|
3355 |
+
"train_batch_size": 32,
|
3356 |
+
"trial_name": null,
|
3357 |
+
"trial_params": null
|
3358 |
+
}
|