End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jan22_11-44-19_55bf1a6762ea/events.out.tfevents.1705939369.55bf1a6762ea.11542.3 +3 -0
- train_results.json +8 -0
- trainer_state.json +1218 -0
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 0.
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.7472190257000384
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.6450
|
36 |
+
- Accuracy: 0.7472
|
37 |
|
38 |
## Model description
|
39 |
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.97,
|
3 |
+
"eval_accuracy": 0.7472190257000384,
|
4 |
+
"eval_loss": 0.6449919939041138,
|
5 |
+
"eval_runtime": 104.9261,
|
6 |
+
"eval_samples_per_second": 24.846,
|
7 |
+
"eval_steps_per_second": 0.782,
|
8 |
+
"total_flos": 1.8133380652001642e+19,
|
9 |
+
"train_loss": 0.6611971782204883,
|
10 |
+
"train_runtime": 13354.5549,
|
11 |
+
"train_samples_per_second": 17.568,
|
12 |
+
"train_steps_per_second": 0.137
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.97,
|
3 |
+
"eval_accuracy": 0.7472190257000384,
|
4 |
+
"eval_loss": 0.6449919939041138,
|
5 |
+
"eval_runtime": 104.9261,
|
6 |
+
"eval_samples_per_second": 24.846,
|
7 |
+
"eval_steps_per_second": 0.782
|
8 |
+
}
|
runs/Jan22_11-44-19_55bf1a6762ea/events.out.tfevents.1705939369.55bf1a6762ea.11542.3
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4330468032d5e768a2e09bdb57fb94401c210bf1f47ce533a9e4d6ec53253d8f
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.97,
|
3 |
+
"total_flos": 1.8133380652001642e+19,
|
4 |
+
"train_loss": 0.6611971782204883,
|
5 |
+
"train_runtime": 13354.5549,
|
6 |
+
"train_samples_per_second": 17.568,
|
7 |
+
"train_steps_per_second": 0.137
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1218 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7472190257000384,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-crop-classification/checkpoint-1468",
|
4 |
+
"epoch": 9.97275204359673,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1830,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.05,
|
13 |
+
"learning_rate": 2.73224043715847e-06,
|
14 |
+
"loss": 1.6369,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.11,
|
19 |
+
"learning_rate": 5.46448087431694e-06,
|
20 |
+
"loss": 1.6111,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.16,
|
25 |
+
"learning_rate": 8.196721311475409e-06,
|
26 |
+
"loss": 1.5398,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.22,
|
31 |
+
"learning_rate": 1.092896174863388e-05,
|
32 |
+
"loss": 1.4457,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.27,
|
37 |
+
"learning_rate": 1.3661202185792351e-05,
|
38 |
+
"loss": 1.3015,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.33,
|
43 |
+
"learning_rate": 1.6393442622950818e-05,
|
44 |
+
"loss": 1.1684,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.38,
|
49 |
+
"learning_rate": 1.912568306010929e-05,
|
50 |
+
"loss": 1.0962,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.44,
|
55 |
+
"learning_rate": 2.185792349726776e-05,
|
56 |
+
"loss": 1.0177,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.49,
|
61 |
+
"learning_rate": 2.459016393442623e-05,
|
62 |
+
"loss": 0.9627,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.54,
|
67 |
+
"learning_rate": 2.7322404371584703e-05,
|
68 |
+
"loss": 0.8997,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.6,
|
73 |
+
"learning_rate": 3.005464480874317e-05,
|
74 |
+
"loss": 0.8822,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.65,
|
79 |
+
"learning_rate": 3.2786885245901635e-05,
|
80 |
+
"loss": 0.8726,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.71,
|
85 |
+
"learning_rate": 3.551912568306011e-05,
|
86 |
+
"loss": 0.8288,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.76,
|
91 |
+
"learning_rate": 3.825136612021858e-05,
|
92 |
+
"loss": 0.8337,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.82,
|
97 |
+
"learning_rate": 4.098360655737705e-05,
|
98 |
+
"loss": 0.829,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.87,
|
103 |
+
"learning_rate": 4.371584699453552e-05,
|
104 |
+
"loss": 0.7949,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.93,
|
109 |
+
"learning_rate": 4.644808743169399e-05,
|
110 |
+
"loss": 0.7856,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.98,
|
115 |
+
"learning_rate": 4.918032786885246e-05,
|
116 |
+
"loss": 0.8031,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 1.0,
|
121 |
+
"eval_accuracy": 0.7050249328730341,
|
122 |
+
"eval_loss": 0.7602581977844238,
|
123 |
+
"eval_runtime": 93.216,
|
124 |
+
"eval_samples_per_second": 27.967,
|
125 |
+
"eval_steps_per_second": 0.88,
|
126 |
+
"step": 183
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 1.04,
|
130 |
+
"learning_rate": 4.9787492410443234e-05,
|
131 |
+
"loss": 0.78,
|
132 |
+
"step": 190
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 1.09,
|
136 |
+
"learning_rate": 4.948391013964785e-05,
|
137 |
+
"loss": 0.7994,
|
138 |
+
"step": 200
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 1.14,
|
142 |
+
"learning_rate": 4.918032786885246e-05,
|
143 |
+
"loss": 0.7665,
|
144 |
+
"step": 210
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1.2,
|
148 |
+
"learning_rate": 4.8876745598057074e-05,
|
149 |
+
"loss": 0.7866,
|
150 |
+
"step": 220
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.25,
|
154 |
+
"learning_rate": 4.857316332726169e-05,
|
155 |
+
"loss": 0.7733,
|
156 |
+
"step": 230
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.31,
|
160 |
+
"learning_rate": 4.8269581056466304e-05,
|
161 |
+
"loss": 0.7504,
|
162 |
+
"step": 240
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 1.36,
|
166 |
+
"learning_rate": 4.7965998785670915e-05,
|
167 |
+
"loss": 0.7805,
|
168 |
+
"step": 250
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 1.42,
|
172 |
+
"learning_rate": 4.766241651487553e-05,
|
173 |
+
"loss": 0.7671,
|
174 |
+
"step": 260
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.47,
|
178 |
+
"learning_rate": 4.7358834244080144e-05,
|
179 |
+
"loss": 0.7012,
|
180 |
+
"step": 270
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 1.53,
|
184 |
+
"learning_rate": 4.705525197328476e-05,
|
185 |
+
"loss": 0.7305,
|
186 |
+
"step": 280
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.58,
|
190 |
+
"learning_rate": 4.6751669702489374e-05,
|
191 |
+
"loss": 0.7441,
|
192 |
+
"step": 290
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.63,
|
196 |
+
"learning_rate": 4.644808743169399e-05,
|
197 |
+
"loss": 0.7758,
|
198 |
+
"step": 300
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.69,
|
202 |
+
"learning_rate": 4.61445051608986e-05,
|
203 |
+
"loss": 0.731,
|
204 |
+
"step": 310
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.74,
|
208 |
+
"learning_rate": 4.584092289010322e-05,
|
209 |
+
"loss": 0.7303,
|
210 |
+
"step": 320
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 1.8,
|
214 |
+
"learning_rate": 4.553734061930783e-05,
|
215 |
+
"loss": 0.7265,
|
216 |
+
"step": 330
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 1.85,
|
220 |
+
"learning_rate": 4.523375834851245e-05,
|
221 |
+
"loss": 0.7385,
|
222 |
+
"step": 340
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 1.91,
|
226 |
+
"learning_rate": 4.493017607771706e-05,
|
227 |
+
"loss": 0.7396,
|
228 |
+
"step": 350
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 1.96,
|
232 |
+
"learning_rate": 4.462659380692168e-05,
|
233 |
+
"loss": 0.7311,
|
234 |
+
"step": 360
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 2.0,
|
238 |
+
"eval_accuracy": 0.7249712313003452,
|
239 |
+
"eval_loss": 0.7046979069709778,
|
240 |
+
"eval_runtime": 93.2263,
|
241 |
+
"eval_samples_per_second": 27.964,
|
242 |
+
"eval_steps_per_second": 0.88,
|
243 |
+
"step": 367
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 2.02,
|
247 |
+
"learning_rate": 4.432301153612629e-05,
|
248 |
+
"loss": 0.7129,
|
249 |
+
"step": 370
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 2.07,
|
253 |
+
"learning_rate": 4.401942926533091e-05,
|
254 |
+
"loss": 0.7103,
|
255 |
+
"step": 380
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 2.13,
|
259 |
+
"learning_rate": 4.371584699453552e-05,
|
260 |
+
"loss": 0.6994,
|
261 |
+
"step": 390
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 2.18,
|
265 |
+
"learning_rate": 4.341226472374014e-05,
|
266 |
+
"loss": 0.6637,
|
267 |
+
"step": 400
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 2.23,
|
271 |
+
"learning_rate": 4.310868245294475e-05,
|
272 |
+
"loss": 0.7107,
|
273 |
+
"step": 410
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 2.29,
|
277 |
+
"learning_rate": 4.280510018214937e-05,
|
278 |
+
"loss": 0.7326,
|
279 |
+
"step": 420
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 2.34,
|
283 |
+
"learning_rate": 4.250151791135398e-05,
|
284 |
+
"loss": 0.7229,
|
285 |
+
"step": 430
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 2.4,
|
289 |
+
"learning_rate": 4.21979356405586e-05,
|
290 |
+
"loss": 0.7064,
|
291 |
+
"step": 440
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 2.45,
|
295 |
+
"learning_rate": 4.189435336976321e-05,
|
296 |
+
"loss": 0.6781,
|
297 |
+
"step": 450
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 2.51,
|
301 |
+
"learning_rate": 4.1590771098967827e-05,
|
302 |
+
"loss": 0.7207,
|
303 |
+
"step": 460
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 2.56,
|
307 |
+
"learning_rate": 4.128718882817244e-05,
|
308 |
+
"loss": 0.7244,
|
309 |
+
"step": 470
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 2.62,
|
313 |
+
"learning_rate": 4.098360655737705e-05,
|
314 |
+
"loss": 0.6972,
|
315 |
+
"step": 480
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 2.67,
|
319 |
+
"learning_rate": 4.068002428658167e-05,
|
320 |
+
"loss": 0.7148,
|
321 |
+
"step": 490
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 2.72,
|
325 |
+
"learning_rate": 4.037644201578628e-05,
|
326 |
+
"loss": 0.7168,
|
327 |
+
"step": 500
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 2.78,
|
331 |
+
"learning_rate": 4.007285974499089e-05,
|
332 |
+
"loss": 0.7146,
|
333 |
+
"step": 510
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 2.83,
|
337 |
+
"learning_rate": 3.976927747419551e-05,
|
338 |
+
"loss": 0.6583,
|
339 |
+
"step": 520
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 2.89,
|
343 |
+
"learning_rate": 3.946569520340012e-05,
|
344 |
+
"loss": 0.7119,
|
345 |
+
"step": 530
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 2.94,
|
349 |
+
"learning_rate": 3.916211293260474e-05,
|
350 |
+
"loss": 0.6891,
|
351 |
+
"step": 540
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 3.0,
|
355 |
+
"learning_rate": 3.885853066180935e-05,
|
356 |
+
"loss": 0.7144,
|
357 |
+
"step": 550
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 3.0,
|
361 |
+
"eval_accuracy": 0.7211354046797085,
|
362 |
+
"eval_loss": 0.6968041062355042,
|
363 |
+
"eval_runtime": 91.8623,
|
364 |
+
"eval_samples_per_second": 28.379,
|
365 |
+
"eval_steps_per_second": 0.893,
|
366 |
+
"step": 550
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 3.05,
|
370 |
+
"learning_rate": 3.8554948391013967e-05,
|
371 |
+
"loss": 0.7037,
|
372 |
+
"step": 560
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 3.11,
|
376 |
+
"learning_rate": 3.825136612021858e-05,
|
377 |
+
"loss": 0.6613,
|
378 |
+
"step": 570
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 3.16,
|
382 |
+
"learning_rate": 3.7947783849423196e-05,
|
383 |
+
"loss": 0.6462,
|
384 |
+
"step": 580
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 3.22,
|
388 |
+
"learning_rate": 3.764420157862781e-05,
|
389 |
+
"loss": 0.6484,
|
390 |
+
"step": 590
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 3.27,
|
394 |
+
"learning_rate": 3.7340619307832425e-05,
|
395 |
+
"loss": 0.6747,
|
396 |
+
"step": 600
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 3.32,
|
400 |
+
"learning_rate": 3.7037037037037037e-05,
|
401 |
+
"loss": 0.7036,
|
402 |
+
"step": 610
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 3.38,
|
406 |
+
"learning_rate": 3.6733454766241655e-05,
|
407 |
+
"loss": 0.6444,
|
408 |
+
"step": 620
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 3.43,
|
412 |
+
"learning_rate": 3.6429872495446266e-05,
|
413 |
+
"loss": 0.6337,
|
414 |
+
"step": 630
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 3.49,
|
418 |
+
"learning_rate": 3.6126290224650884e-05,
|
419 |
+
"loss": 0.6715,
|
420 |
+
"step": 640
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 3.54,
|
424 |
+
"learning_rate": 3.5822707953855495e-05,
|
425 |
+
"loss": 0.6583,
|
426 |
+
"step": 650
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 3.6,
|
430 |
+
"learning_rate": 3.551912568306011e-05,
|
431 |
+
"loss": 0.663,
|
432 |
+
"step": 660
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 3.65,
|
436 |
+
"learning_rate": 3.5215543412264725e-05,
|
437 |
+
"loss": 0.6901,
|
438 |
+
"step": 670
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 3.71,
|
442 |
+
"learning_rate": 3.491196114146934e-05,
|
443 |
+
"loss": 0.6582,
|
444 |
+
"step": 680
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 3.76,
|
448 |
+
"learning_rate": 3.4608378870673954e-05,
|
449 |
+
"loss": 0.6868,
|
450 |
+
"step": 690
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 3.81,
|
454 |
+
"learning_rate": 3.430479659987857e-05,
|
455 |
+
"loss": 0.7168,
|
456 |
+
"step": 700
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 3.87,
|
460 |
+
"learning_rate": 3.400121432908318e-05,
|
461 |
+
"loss": 0.6522,
|
462 |
+
"step": 710
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 3.92,
|
466 |
+
"learning_rate": 3.36976320582878e-05,
|
467 |
+
"loss": 0.6337,
|
468 |
+
"step": 720
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 3.98,
|
472 |
+
"learning_rate": 3.339404978749241e-05,
|
473 |
+
"loss": 0.6516,
|
474 |
+
"step": 730
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 4.0,
|
478 |
+
"eval_accuracy": 0.7376294591484465,
|
479 |
+
"eval_loss": 0.6568663716316223,
|
480 |
+
"eval_runtime": 93.5303,
|
481 |
+
"eval_samples_per_second": 27.873,
|
482 |
+
"eval_steps_per_second": 0.877,
|
483 |
+
"step": 734
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 4.03,
|
487 |
+
"learning_rate": 3.3090467516697024e-05,
|
488 |
+
"loss": 0.6547,
|
489 |
+
"step": 740
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 4.09,
|
493 |
+
"learning_rate": 3.2786885245901635e-05,
|
494 |
+
"loss": 0.6444,
|
495 |
+
"step": 750
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 4.14,
|
499 |
+
"learning_rate": 3.248330297510625e-05,
|
500 |
+
"loss": 0.6687,
|
501 |
+
"step": 760
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 4.2,
|
505 |
+
"learning_rate": 3.2179720704310865e-05,
|
506 |
+
"loss": 0.6634,
|
507 |
+
"step": 770
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 4.25,
|
511 |
+
"learning_rate": 3.187613843351548e-05,
|
512 |
+
"loss": 0.6334,
|
513 |
+
"step": 780
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 4.31,
|
517 |
+
"learning_rate": 3.1572556162720094e-05,
|
518 |
+
"loss": 0.6095,
|
519 |
+
"step": 790
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 4.36,
|
523 |
+
"learning_rate": 3.126897389192471e-05,
|
524 |
+
"loss": 0.6467,
|
525 |
+
"step": 800
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 4.41,
|
529 |
+
"learning_rate": 3.096539162112932e-05,
|
530 |
+
"loss": 0.6532,
|
531 |
+
"step": 810
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 4.47,
|
535 |
+
"learning_rate": 3.066180935033394e-05,
|
536 |
+
"loss": 0.6544,
|
537 |
+
"step": 820
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 4.52,
|
541 |
+
"learning_rate": 3.0358227079538553e-05,
|
542 |
+
"loss": 0.6161,
|
543 |
+
"step": 830
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 4.58,
|
547 |
+
"learning_rate": 3.005464480874317e-05,
|
548 |
+
"loss": 0.6092,
|
549 |
+
"step": 840
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 4.63,
|
553 |
+
"learning_rate": 2.9751062537947782e-05,
|
554 |
+
"loss": 0.6323,
|
555 |
+
"step": 850
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 4.69,
|
559 |
+
"learning_rate": 2.94474802671524e-05,
|
560 |
+
"loss": 0.6593,
|
561 |
+
"step": 860
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 4.74,
|
565 |
+
"learning_rate": 2.9143897996357018e-05,
|
566 |
+
"loss": 0.6493,
|
567 |
+
"step": 870
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 4.8,
|
571 |
+
"learning_rate": 2.884031572556163e-05,
|
572 |
+
"loss": 0.6475,
|
573 |
+
"step": 880
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 4.85,
|
577 |
+
"learning_rate": 2.8536733454766244e-05,
|
578 |
+
"loss": 0.6196,
|
579 |
+
"step": 890
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 4.9,
|
583 |
+
"learning_rate": 2.823315118397086e-05,
|
584 |
+
"loss": 0.6257,
|
585 |
+
"step": 900
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 4.96,
|
589 |
+
"learning_rate": 2.7929568913175473e-05,
|
590 |
+
"loss": 0.6371,
|
591 |
+
"step": 910
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 5.0,
|
595 |
+
"eval_accuracy": 0.7376294591484465,
|
596 |
+
"eval_loss": 0.6482810974121094,
|
597 |
+
"eval_runtime": 93.1536,
|
598 |
+
"eval_samples_per_second": 27.986,
|
599 |
+
"eval_steps_per_second": 0.88,
|
600 |
+
"step": 917
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 5.01,
|
604 |
+
"learning_rate": 2.7625986642380085e-05,
|
605 |
+
"loss": 0.6049,
|
606 |
+
"step": 920
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 5.07,
|
610 |
+
"learning_rate": 2.7322404371584703e-05,
|
611 |
+
"loss": 0.6072,
|
612 |
+
"step": 930
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 5.12,
|
616 |
+
"learning_rate": 2.7018822100789314e-05,
|
617 |
+
"loss": 0.5548,
|
618 |
+
"step": 940
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 5.18,
|
622 |
+
"learning_rate": 2.6715239829993932e-05,
|
623 |
+
"loss": 0.5689,
|
624 |
+
"step": 950
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 5.23,
|
628 |
+
"learning_rate": 2.6411657559198543e-05,
|
629 |
+
"loss": 0.6459,
|
630 |
+
"step": 960
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 5.29,
|
634 |
+
"learning_rate": 2.610807528840316e-05,
|
635 |
+
"loss": 0.6033,
|
636 |
+
"step": 970
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 5.34,
|
640 |
+
"learning_rate": 2.5804493017607773e-05,
|
641 |
+
"loss": 0.5981,
|
642 |
+
"step": 980
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 5.4,
|
646 |
+
"learning_rate": 2.550091074681239e-05,
|
647 |
+
"loss": 0.6201,
|
648 |
+
"step": 990
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 5.45,
|
652 |
+
"learning_rate": 2.5197328476017002e-05,
|
653 |
+
"loss": 0.6121,
|
654 |
+
"step": 1000
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 5.5,
|
658 |
+
"learning_rate": 2.4893746205221617e-05,
|
659 |
+
"loss": 0.6147,
|
660 |
+
"step": 1010
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 5.56,
|
664 |
+
"learning_rate": 2.459016393442623e-05,
|
665 |
+
"loss": 0.6007,
|
666 |
+
"step": 1020
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 5.61,
|
670 |
+
"learning_rate": 2.4286581663630846e-05,
|
671 |
+
"loss": 0.6087,
|
672 |
+
"step": 1030
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 5.67,
|
676 |
+
"learning_rate": 2.3982999392835457e-05,
|
677 |
+
"loss": 0.6195,
|
678 |
+
"step": 1040
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 5.72,
|
682 |
+
"learning_rate": 2.3679417122040072e-05,
|
683 |
+
"loss": 0.5848,
|
684 |
+
"step": 1050
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 5.78,
|
688 |
+
"learning_rate": 2.3375834851244687e-05,
|
689 |
+
"loss": 0.6066,
|
690 |
+
"step": 1060
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 5.83,
|
694 |
+
"learning_rate": 2.30722525804493e-05,
|
695 |
+
"loss": 0.6386,
|
696 |
+
"step": 1070
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 5.89,
|
700 |
+
"learning_rate": 2.2768670309653916e-05,
|
701 |
+
"loss": 0.6196,
|
702 |
+
"step": 1080
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 5.94,
|
706 |
+
"learning_rate": 2.246508803885853e-05,
|
707 |
+
"loss": 0.6127,
|
708 |
+
"step": 1090
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 5.99,
|
712 |
+
"learning_rate": 2.2161505768063146e-05,
|
713 |
+
"loss": 0.6246,
|
714 |
+
"step": 1100
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 6.0,
|
718 |
+
"eval_accuracy": 0.7364787111622555,
|
719 |
+
"eval_loss": 0.6492410898208618,
|
720 |
+
"eval_runtime": 92.6582,
|
721 |
+
"eval_samples_per_second": 28.136,
|
722 |
+
"eval_steps_per_second": 0.885,
|
723 |
+
"step": 1101
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 6.05,
|
727 |
+
"learning_rate": 2.185792349726776e-05,
|
728 |
+
"loss": 0.5467,
|
729 |
+
"step": 1110
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 6.1,
|
733 |
+
"learning_rate": 2.1554341226472375e-05,
|
734 |
+
"loss": 0.577,
|
735 |
+
"step": 1120
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 6.16,
|
739 |
+
"learning_rate": 2.125075895567699e-05,
|
740 |
+
"loss": 0.6047,
|
741 |
+
"step": 1130
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 6.21,
|
745 |
+
"learning_rate": 2.0947176684881604e-05,
|
746 |
+
"loss": 0.5822,
|
747 |
+
"step": 1140
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 6.27,
|
751 |
+
"learning_rate": 2.064359441408622e-05,
|
752 |
+
"loss": 0.605,
|
753 |
+
"step": 1150
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 6.32,
|
757 |
+
"learning_rate": 2.0340012143290834e-05,
|
758 |
+
"loss": 0.5743,
|
759 |
+
"step": 1160
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 6.38,
|
763 |
+
"learning_rate": 2.0036429872495445e-05,
|
764 |
+
"loss": 0.5658,
|
765 |
+
"step": 1170
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 6.43,
|
769 |
+
"learning_rate": 1.973284760170006e-05,
|
770 |
+
"loss": 0.5686,
|
771 |
+
"step": 1180
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 6.49,
|
775 |
+
"learning_rate": 1.9429265330904674e-05,
|
776 |
+
"loss": 0.5884,
|
777 |
+
"step": 1190
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 6.54,
|
781 |
+
"learning_rate": 1.912568306010929e-05,
|
782 |
+
"loss": 0.544,
|
783 |
+
"step": 1200
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 6.59,
|
787 |
+
"learning_rate": 1.8822100789313904e-05,
|
788 |
+
"loss": 0.5888,
|
789 |
+
"step": 1210
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 6.65,
|
793 |
+
"learning_rate": 1.8518518518518518e-05,
|
794 |
+
"loss": 0.5377,
|
795 |
+
"step": 1220
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 6.7,
|
799 |
+
"learning_rate": 1.8214936247723133e-05,
|
800 |
+
"loss": 0.5665,
|
801 |
+
"step": 1230
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 6.76,
|
805 |
+
"learning_rate": 1.7911353976927748e-05,
|
806 |
+
"loss": 0.6032,
|
807 |
+
"step": 1240
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 6.81,
|
811 |
+
"learning_rate": 1.7607771706132362e-05,
|
812 |
+
"loss": 0.5905,
|
813 |
+
"step": 1250
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 6.87,
|
817 |
+
"learning_rate": 1.7304189435336977e-05,
|
818 |
+
"loss": 0.5831,
|
819 |
+
"step": 1260
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 6.92,
|
823 |
+
"learning_rate": 1.700060716454159e-05,
|
824 |
+
"loss": 0.5762,
|
825 |
+
"step": 1270
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 6.98,
|
829 |
+
"learning_rate": 1.6697024893746206e-05,
|
830 |
+
"loss": 0.5659,
|
831 |
+
"step": 1280
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 7.0,
|
835 |
+
"eval_accuracy": 0.7410817031070196,
|
836 |
+
"eval_loss": 0.6481292843818665,
|
837 |
+
"eval_runtime": 93.3242,
|
838 |
+
"eval_samples_per_second": 27.935,
|
839 |
+
"eval_steps_per_second": 0.879,
|
840 |
+
"step": 1284
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 7.03,
|
844 |
+
"learning_rate": 1.6393442622950818e-05,
|
845 |
+
"loss": 0.5738,
|
846 |
+
"step": 1290
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 7.08,
|
850 |
+
"learning_rate": 1.6089860352155432e-05,
|
851 |
+
"loss": 0.5339,
|
852 |
+
"step": 1300
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 7.14,
|
856 |
+
"learning_rate": 1.5786278081360047e-05,
|
857 |
+
"loss": 0.5405,
|
858 |
+
"step": 1310
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 7.19,
|
862 |
+
"learning_rate": 1.548269581056466e-05,
|
863 |
+
"loss": 0.5792,
|
864 |
+
"step": 1320
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 7.25,
|
868 |
+
"learning_rate": 1.5179113539769276e-05,
|
869 |
+
"loss": 0.5677,
|
870 |
+
"step": 1330
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 7.3,
|
874 |
+
"learning_rate": 1.4875531268973891e-05,
|
875 |
+
"loss": 0.5319,
|
876 |
+
"step": 1340
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 7.36,
|
880 |
+
"learning_rate": 1.4571948998178509e-05,
|
881 |
+
"loss": 0.5693,
|
882 |
+
"step": 1350
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 7.41,
|
886 |
+
"learning_rate": 1.4268366727383122e-05,
|
887 |
+
"loss": 0.5532,
|
888 |
+
"step": 1360
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 7.47,
|
892 |
+
"learning_rate": 1.3964784456587737e-05,
|
893 |
+
"loss": 0.565,
|
894 |
+
"step": 1370
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 7.52,
|
898 |
+
"learning_rate": 1.3661202185792351e-05,
|
899 |
+
"loss": 0.536,
|
900 |
+
"step": 1380
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 7.57,
|
904 |
+
"learning_rate": 1.3357619914996966e-05,
|
905 |
+
"loss": 0.5408,
|
906 |
+
"step": 1390
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 7.63,
|
910 |
+
"learning_rate": 1.305403764420158e-05,
|
911 |
+
"loss": 0.5835,
|
912 |
+
"step": 1400
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 7.68,
|
916 |
+
"learning_rate": 1.2750455373406195e-05,
|
917 |
+
"loss": 0.5353,
|
918 |
+
"step": 1410
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 7.74,
|
922 |
+
"learning_rate": 1.2446873102610808e-05,
|
923 |
+
"loss": 0.5568,
|
924 |
+
"step": 1420
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 7.79,
|
928 |
+
"learning_rate": 1.2143290831815423e-05,
|
929 |
+
"loss": 0.5531,
|
930 |
+
"step": 1430
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 7.85,
|
934 |
+
"learning_rate": 1.1839708561020036e-05,
|
935 |
+
"loss": 0.555,
|
936 |
+
"step": 1440
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 7.9,
|
940 |
+
"learning_rate": 1.153612629022465e-05,
|
941 |
+
"loss": 0.5478,
|
942 |
+
"step": 1450
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 7.96,
|
946 |
+
"learning_rate": 1.1232544019429265e-05,
|
947 |
+
"loss": 0.533,
|
948 |
+
"step": 1460
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 8.0,
|
952 |
+
"eval_accuracy": 0.7472190257000384,
|
953 |
+
"eval_loss": 0.6449919939041138,
|
954 |
+
"eval_runtime": 93.8292,
|
955 |
+
"eval_samples_per_second": 27.785,
|
956 |
+
"eval_steps_per_second": 0.874,
|
957 |
+
"step": 1468
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 8.01,
|
961 |
+
"learning_rate": 1.092896174863388e-05,
|
962 |
+
"loss": 0.5692,
|
963 |
+
"step": 1470
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 8.07,
|
967 |
+
"learning_rate": 1.0625379477838495e-05,
|
968 |
+
"loss": 0.5422,
|
969 |
+
"step": 1480
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 8.12,
|
973 |
+
"learning_rate": 1.032179720704311e-05,
|
974 |
+
"loss": 0.5154,
|
975 |
+
"step": 1490
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 8.17,
|
979 |
+
"learning_rate": 1.0018214936247722e-05,
|
980 |
+
"loss": 0.5471,
|
981 |
+
"step": 1500
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 8.23,
|
985 |
+
"learning_rate": 9.714632665452337e-06,
|
986 |
+
"loss": 0.5253,
|
987 |
+
"step": 1510
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 8.28,
|
991 |
+
"learning_rate": 9.411050394656952e-06,
|
992 |
+
"loss": 0.526,
|
993 |
+
"step": 1520
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 8.34,
|
997 |
+
"learning_rate": 9.107468123861566e-06,
|
998 |
+
"loss": 0.5038,
|
999 |
+
"step": 1530
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 8.39,
|
1003 |
+
"learning_rate": 8.803885853066181e-06,
|
1004 |
+
"loss": 0.5109,
|
1005 |
+
"step": 1540
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 8.45,
|
1009 |
+
"learning_rate": 8.500303582270796e-06,
|
1010 |
+
"loss": 0.4941,
|
1011 |
+
"step": 1550
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 8.5,
|
1015 |
+
"learning_rate": 8.196721311475409e-06,
|
1016 |
+
"loss": 0.5616,
|
1017 |
+
"step": 1560
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 8.56,
|
1021 |
+
"learning_rate": 7.893139040680023e-06,
|
1022 |
+
"loss": 0.5514,
|
1023 |
+
"step": 1570
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 8.61,
|
1027 |
+
"learning_rate": 7.589556769884638e-06,
|
1028 |
+
"loss": 0.5203,
|
1029 |
+
"step": 1580
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 8.66,
|
1033 |
+
"learning_rate": 7.2859744990892545e-06,
|
1034 |
+
"loss": 0.5351,
|
1035 |
+
"step": 1590
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 8.72,
|
1039 |
+
"learning_rate": 6.982392228293868e-06,
|
1040 |
+
"loss": 0.5334,
|
1041 |
+
"step": 1600
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 8.77,
|
1045 |
+
"learning_rate": 6.678809957498483e-06,
|
1046 |
+
"loss": 0.5162,
|
1047 |
+
"step": 1610
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 8.83,
|
1051 |
+
"learning_rate": 6.375227686703098e-06,
|
1052 |
+
"loss": 0.5482,
|
1053 |
+
"step": 1620
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 8.88,
|
1057 |
+
"learning_rate": 6.0716454159077115e-06,
|
1058 |
+
"loss": 0.5077,
|
1059 |
+
"step": 1630
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 8.94,
|
1063 |
+
"learning_rate": 5.768063145112325e-06,
|
1064 |
+
"loss": 0.5392,
|
1065 |
+
"step": 1640
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 8.99,
|
1069 |
+
"learning_rate": 5.46448087431694e-06,
|
1070 |
+
"loss": 0.5416,
|
1071 |
+
"step": 1650
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 9.0,
|
1075 |
+
"eval_accuracy": 0.74530111238972,
|
1076 |
+
"eval_loss": 0.638206422328949,
|
1077 |
+
"eval_runtime": 94.5986,
|
1078 |
+
"eval_samples_per_second": 27.559,
|
1079 |
+
"eval_steps_per_second": 0.867,
|
1080 |
+
"step": 1651
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 9.05,
|
1084 |
+
"learning_rate": 5.160898603521555e-06,
|
1085 |
+
"loss": 0.541,
|
1086 |
+
"step": 1660
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 9.1,
|
1090 |
+
"learning_rate": 4.8573163327261686e-06,
|
1091 |
+
"loss": 0.5393,
|
1092 |
+
"step": 1670
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 9.16,
|
1096 |
+
"learning_rate": 4.553734061930783e-06,
|
1097 |
+
"loss": 0.488,
|
1098 |
+
"step": 1680
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 9.21,
|
1102 |
+
"learning_rate": 4.250151791135398e-06,
|
1103 |
+
"loss": 0.5104,
|
1104 |
+
"step": 1690
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 9.26,
|
1108 |
+
"learning_rate": 3.946569520340012e-06,
|
1109 |
+
"loss": 0.5151,
|
1110 |
+
"step": 1700
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 9.32,
|
1114 |
+
"learning_rate": 3.6429872495446273e-06,
|
1115 |
+
"loss": 0.5165,
|
1116 |
+
"step": 1710
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 9.37,
|
1120 |
+
"learning_rate": 3.3394049787492415e-06,
|
1121 |
+
"loss": 0.5116,
|
1122 |
+
"step": 1720
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 9.43,
|
1126 |
+
"learning_rate": 3.0358227079538558e-06,
|
1127 |
+
"loss": 0.5174,
|
1128 |
+
"step": 1730
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 9.48,
|
1132 |
+
"learning_rate": 2.73224043715847e-06,
|
1133 |
+
"loss": 0.5321,
|
1134 |
+
"step": 1740
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 9.54,
|
1138 |
+
"learning_rate": 2.4286581663630843e-06,
|
1139 |
+
"loss": 0.4799,
|
1140 |
+
"step": 1750
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 9.59,
|
1144 |
+
"learning_rate": 2.125075895567699e-06,
|
1145 |
+
"loss": 0.4766,
|
1146 |
+
"step": 1760
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 9.65,
|
1150 |
+
"learning_rate": 1.8214936247723136e-06,
|
1151 |
+
"loss": 0.5425,
|
1152 |
+
"step": 1770
|
1153 |
+
},
|
1154 |
+
{
|
1155 |
+
"epoch": 9.7,
|
1156 |
+
"learning_rate": 1.5179113539769279e-06,
|
1157 |
+
"loss": 0.4936,
|
1158 |
+
"step": 1780
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 9.75,
|
1162 |
+
"learning_rate": 1.2143290831815421e-06,
|
1163 |
+
"loss": 0.5408,
|
1164 |
+
"step": 1790
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 9.81,
|
1168 |
+
"learning_rate": 9.107468123861568e-07,
|
1169 |
+
"loss": 0.5223,
|
1170 |
+
"step": 1800
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 9.86,
|
1174 |
+
"learning_rate": 6.071645415907711e-07,
|
1175 |
+
"loss": 0.5074,
|
1176 |
+
"step": 1810
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 9.92,
|
1180 |
+
"learning_rate": 3.0358227079538554e-07,
|
1181 |
+
"loss": 0.5151,
|
1182 |
+
"step": 1820
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 9.97,
|
1186 |
+
"learning_rate": 0.0,
|
1187 |
+
"loss": 0.5062,
|
1188 |
+
"step": 1830
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 9.97,
|
1192 |
+
"eval_accuracy": 0.7460682777138473,
|
1193 |
+
"eval_loss": 0.6395400166511536,
|
1194 |
+
"eval_runtime": 94.039,
|
1195 |
+
"eval_samples_per_second": 27.723,
|
1196 |
+
"eval_steps_per_second": 0.872,
|
1197 |
+
"step": 1830
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 9.97,
|
1201 |
+
"step": 1830,
|
1202 |
+
"total_flos": 1.8133380652001642e+19,
|
1203 |
+
"train_loss": 0.6611971782204883,
|
1204 |
+
"train_runtime": 13354.5549,
|
1205 |
+
"train_samples_per_second": 17.568,
|
1206 |
+
"train_steps_per_second": 0.137
|
1207 |
+
}
|
1208 |
+
],
|
1209 |
+
"logging_steps": 10,
|
1210 |
+
"max_steps": 1830,
|
1211 |
+
"num_input_tokens_seen": 0,
|
1212 |
+
"num_train_epochs": 10,
|
1213 |
+
"save_steps": 500,
|
1214 |
+
"total_flos": 1.8133380652001642e+19,
|
1215 |
+
"train_batch_size": 32,
|
1216 |
+
"trial_name": null,
|
1217 |
+
"trial_params": null
|
1218 |
+
}
|