🍻 cheers
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Oct17_14-21-43_609077bf8eb4/events.out.tfevents.1729176099.609077bf8eb4.269.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1090 -0
README.md
CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
|
|
3 |
license: apache-2.0
|
4 |
base_model: google/vit-base-patch16-224-in21k
|
5 |
tags:
|
|
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
8 |
- accuracy
|
@@ -16,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# finetuned-indian-food
|
18 |
|
19 |
-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
-
- Accuracy: 0.
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
3 |
license: apache-2.0
|
4 |
base_model: google/vit-base-patch16-224-in21k
|
5 |
tags:
|
6 |
+
- image-classification
|
7 |
- generated_from_trainer
|
8 |
metrics:
|
9 |
- accuracy
|
|
|
17 |
|
18 |
# finetuned-indian-food
|
19 |
|
20 |
+
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 indian_food_images dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.2146
|
23 |
+
- Accuracy: 0.9426
|
24 |
|
25 |
## Model description
|
26 |
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.9426142401700319,
|
4 |
+
"eval_loss": 0.21462436020374298,
|
5 |
+
"eval_runtime": 26.9124,
|
6 |
+
"eval_samples_per_second": 34.965,
|
7 |
+
"eval_steps_per_second": 4.385,
|
8 |
+
"total_flos": 1.651775717862015e+18,
|
9 |
+
"train_loss": 0.4770685946261203,
|
10 |
+
"train_runtime": 1116.421,
|
11 |
+
"train_samples_per_second": 19.09,
|
12 |
+
"train_steps_per_second": 1.193
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.9426142401700319,
|
4 |
+
"eval_loss": 0.21462436020374298,
|
5 |
+
"eval_runtime": 26.9124,
|
6 |
+
"eval_samples_per_second": 34.965,
|
7 |
+
"eval_steps_per_second": 4.385
|
8 |
+
}
|
runs/Oct17_14-21-43_609077bf8eb4/events.out.tfevents.1729176099.609077bf8eb4.269.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f0db8c8d1f8ab4222621c68e643e39fd8b2b05dbac1b7eef8c6773b29922968a
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"total_flos": 1.651775717862015e+18,
|
4 |
+
"train_loss": 0.4770685946261203,
|
5 |
+
"train_runtime": 1116.421,
|
6 |
+
"train_samples_per_second": 19.09,
|
7 |
+
"train_steps_per_second": 1.193
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1090 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.21462436020374298,
|
3 |
+
"best_model_checkpoint": "finetuned-indian-food/checkpoint-1200",
|
4 |
+
"epoch": 4.0,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 1332,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.03003003003003003,
|
13 |
+
"grad_norm": 2.086472749710083,
|
14 |
+
"learning_rate": 0.0001984984984984985,
|
15 |
+
"loss": 2.8715,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.06006006006006006,
|
20 |
+
"grad_norm": 2.6774790287017822,
|
21 |
+
"learning_rate": 0.00019699699699699701,
|
22 |
+
"loss": 2.5719,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.09009009009009009,
|
27 |
+
"grad_norm": 2.241564989089966,
|
28 |
+
"learning_rate": 0.0001954954954954955,
|
29 |
+
"loss": 2.2151,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.12012012012012012,
|
34 |
+
"grad_norm": 2.272333860397339,
|
35 |
+
"learning_rate": 0.00019399399399399402,
|
36 |
+
"loss": 2.0446,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.15015015015015015,
|
41 |
+
"grad_norm": 2.3084256649017334,
|
42 |
+
"learning_rate": 0.0001924924924924925,
|
43 |
+
"loss": 1.6935,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.18018018018018017,
|
48 |
+
"grad_norm": 2.6124863624572754,
|
49 |
+
"learning_rate": 0.000190990990990991,
|
50 |
+
"loss": 1.4559,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.21021021021021022,
|
55 |
+
"grad_norm": 1.7842832803726196,
|
56 |
+
"learning_rate": 0.0001894894894894895,
|
57 |
+
"loss": 1.2871,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.24024024024024024,
|
62 |
+
"grad_norm": 1.8386505842208862,
|
63 |
+
"learning_rate": 0.000187987987987988,
|
64 |
+
"loss": 1.244,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.2702702702702703,
|
69 |
+
"grad_norm": 3.2887415885925293,
|
70 |
+
"learning_rate": 0.0001864864864864865,
|
71 |
+
"loss": 1.2332,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.3003003003003003,
|
76 |
+
"grad_norm": 1.8092305660247803,
|
77 |
+
"learning_rate": 0.000184984984984985,
|
78 |
+
"loss": 1.0574,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.3003003003003003,
|
83 |
+
"eval_accuracy": 0.8575982996811902,
|
84 |
+
"eval_loss": 0.9444788694381714,
|
85 |
+
"eval_runtime": 26.2853,
|
86 |
+
"eval_samples_per_second": 35.8,
|
87 |
+
"eval_steps_per_second": 4.489,
|
88 |
+
"step": 100
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 0.3303303303303303,
|
92 |
+
"grad_norm": 2.07977557182312,
|
93 |
+
"learning_rate": 0.0001834834834834835,
|
94 |
+
"loss": 1.0456,
|
95 |
+
"step": 110
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 0.36036036036036034,
|
99 |
+
"grad_norm": 1.9540412425994873,
|
100 |
+
"learning_rate": 0.000181981981981982,
|
101 |
+
"loss": 1.0319,
|
102 |
+
"step": 120
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 0.39039039039039036,
|
106 |
+
"grad_norm": 1.9397859573364258,
|
107 |
+
"learning_rate": 0.0001804804804804805,
|
108 |
+
"loss": 0.7043,
|
109 |
+
"step": 130
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 0.42042042042042044,
|
113 |
+
"grad_norm": 3.5629427433013916,
|
114 |
+
"learning_rate": 0.00017897897897897898,
|
115 |
+
"loss": 0.8621,
|
116 |
+
"step": 140
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.45045045045045046,
|
120 |
+
"grad_norm": 2.1689531803131104,
|
121 |
+
"learning_rate": 0.0001774774774774775,
|
122 |
+
"loss": 0.7846,
|
123 |
+
"step": 150
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.4804804804804805,
|
127 |
+
"grad_norm": 5.137659549713135,
|
128 |
+
"learning_rate": 0.000175975975975976,
|
129 |
+
"loss": 0.8796,
|
130 |
+
"step": 160
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 0.5105105105105106,
|
134 |
+
"grad_norm": 3.2067863941192627,
|
135 |
+
"learning_rate": 0.0001744744744744745,
|
136 |
+
"loss": 0.7393,
|
137 |
+
"step": 170
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.5405405405405406,
|
141 |
+
"grad_norm": 3.543780565261841,
|
142 |
+
"learning_rate": 0.000172972972972973,
|
143 |
+
"loss": 0.7776,
|
144 |
+
"step": 180
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.5705705705705706,
|
148 |
+
"grad_norm": 5.8286333084106445,
|
149 |
+
"learning_rate": 0.00017147147147147148,
|
150 |
+
"loss": 0.7427,
|
151 |
+
"step": 190
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.6006006006006006,
|
155 |
+
"grad_norm": 2.206890106201172,
|
156 |
+
"learning_rate": 0.00016996996996997,
|
157 |
+
"loss": 0.8399,
|
158 |
+
"step": 200
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.6006006006006006,
|
162 |
+
"eval_accuracy": 0.8862911795961743,
|
163 |
+
"eval_loss": 0.5542067885398865,
|
164 |
+
"eval_runtime": 26.2959,
|
165 |
+
"eval_samples_per_second": 35.785,
|
166 |
+
"eval_steps_per_second": 4.487,
|
167 |
+
"step": 200
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 0.6306306306306306,
|
171 |
+
"grad_norm": 5.071735382080078,
|
172 |
+
"learning_rate": 0.00016846846846846846,
|
173 |
+
"loss": 0.4854,
|
174 |
+
"step": 210
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.6606606606606606,
|
178 |
+
"grad_norm": 1.8520969152450562,
|
179 |
+
"learning_rate": 0.00016696696696696697,
|
180 |
+
"loss": 0.5468,
|
181 |
+
"step": 220
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 0.6906906906906907,
|
185 |
+
"grad_norm": 2.1558125019073486,
|
186 |
+
"learning_rate": 0.00016546546546546546,
|
187 |
+
"loss": 0.5233,
|
188 |
+
"step": 230
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.7207207207207207,
|
192 |
+
"grad_norm": 4.998787879943848,
|
193 |
+
"learning_rate": 0.00016396396396396395,
|
194 |
+
"loss": 0.6996,
|
195 |
+
"step": 240
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.7507507507507507,
|
199 |
+
"grad_norm": 2.3446874618530273,
|
200 |
+
"learning_rate": 0.00016246246246246247,
|
201 |
+
"loss": 0.6156,
|
202 |
+
"step": 250
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 0.7807807807807807,
|
206 |
+
"grad_norm": 9.410783767700195,
|
207 |
+
"learning_rate": 0.00016096096096096096,
|
208 |
+
"loss": 0.7073,
|
209 |
+
"step": 260
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.8108108108108109,
|
213 |
+
"grad_norm": 1.848683476448059,
|
214 |
+
"learning_rate": 0.00015945945945945947,
|
215 |
+
"loss": 0.5893,
|
216 |
+
"step": 270
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.8408408408408409,
|
220 |
+
"grad_norm": 4.705769062042236,
|
221 |
+
"learning_rate": 0.00015795795795795796,
|
222 |
+
"loss": 0.617,
|
223 |
+
"step": 280
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 0.8708708708708709,
|
227 |
+
"grad_norm": 3.885349988937378,
|
228 |
+
"learning_rate": 0.00015645645645645645,
|
229 |
+
"loss": 0.5976,
|
230 |
+
"step": 290
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.9009009009009009,
|
234 |
+
"grad_norm": 2.5080394744873047,
|
235 |
+
"learning_rate": 0.00015495495495495496,
|
236 |
+
"loss": 0.6418,
|
237 |
+
"step": 300
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.9009009009009009,
|
241 |
+
"eval_accuracy": 0.8671625929861849,
|
242 |
+
"eval_loss": 0.5741079449653625,
|
243 |
+
"eval_runtime": 26.4803,
|
244 |
+
"eval_samples_per_second": 35.536,
|
245 |
+
"eval_steps_per_second": 4.456,
|
246 |
+
"step": 300
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 0.9309309309309309,
|
250 |
+
"grad_norm": 5.160592555999756,
|
251 |
+
"learning_rate": 0.00015345345345345345,
|
252 |
+
"loss": 0.6029,
|
253 |
+
"step": 310
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.960960960960961,
|
257 |
+
"grad_norm": 3.9884884357452393,
|
258 |
+
"learning_rate": 0.00015195195195195194,
|
259 |
+
"loss": 0.6916,
|
260 |
+
"step": 320
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.990990990990991,
|
264 |
+
"grad_norm": 4.166062355041504,
|
265 |
+
"learning_rate": 0.00015045045045045046,
|
266 |
+
"loss": 0.7854,
|
267 |
+
"step": 330
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 1.021021021021021,
|
271 |
+
"grad_norm": 4.180619716644287,
|
272 |
+
"learning_rate": 0.00014894894894894895,
|
273 |
+
"loss": 0.5521,
|
274 |
+
"step": 340
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 1.0510510510510511,
|
278 |
+
"grad_norm": 4.4930315017700195,
|
279 |
+
"learning_rate": 0.00014744744744744746,
|
280 |
+
"loss": 0.4041,
|
281 |
+
"step": 350
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 1.0810810810810811,
|
285 |
+
"grad_norm": 4.935527324676514,
|
286 |
+
"learning_rate": 0.00014594594594594595,
|
287 |
+
"loss": 0.4967,
|
288 |
+
"step": 360
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 1.1111111111111112,
|
292 |
+
"grad_norm": 12.9185791015625,
|
293 |
+
"learning_rate": 0.00014444444444444444,
|
294 |
+
"loss": 0.4248,
|
295 |
+
"step": 370
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 1.1411411411411412,
|
299 |
+
"grad_norm": 3.98164439201355,
|
300 |
+
"learning_rate": 0.00014294294294294295,
|
301 |
+
"loss": 0.5054,
|
302 |
+
"step": 380
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 1.1711711711711712,
|
306 |
+
"grad_norm": 4.026088237762451,
|
307 |
+
"learning_rate": 0.00014144144144144144,
|
308 |
+
"loss": 0.4668,
|
309 |
+
"step": 390
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.2012012012012012,
|
313 |
+
"grad_norm": 5.09647798538208,
|
314 |
+
"learning_rate": 0.00013993993993993996,
|
315 |
+
"loss": 0.3785,
|
316 |
+
"step": 400
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 1.2012012012012012,
|
320 |
+
"eval_accuracy": 0.8841657810839533,
|
321 |
+
"eval_loss": 0.4702335000038147,
|
322 |
+
"eval_runtime": 26.6715,
|
323 |
+
"eval_samples_per_second": 35.281,
|
324 |
+
"eval_steps_per_second": 4.424,
|
325 |
+
"step": 400
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 1.2312312312312312,
|
329 |
+
"grad_norm": 0.3809890151023865,
|
330 |
+
"learning_rate": 0.00013843843843843845,
|
331 |
+
"loss": 0.37,
|
332 |
+
"step": 410
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 1.2612612612612613,
|
336 |
+
"grad_norm": 5.375821113586426,
|
337 |
+
"learning_rate": 0.00013693693693693693,
|
338 |
+
"loss": 0.4845,
|
339 |
+
"step": 420
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.2912912912912913,
|
343 |
+
"grad_norm": 1.7599005699157715,
|
344 |
+
"learning_rate": 0.00013543543543543545,
|
345 |
+
"loss": 0.6018,
|
346 |
+
"step": 430
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 1.3213213213213213,
|
350 |
+
"grad_norm": 1.0588518381118774,
|
351 |
+
"learning_rate": 0.00013393393393393394,
|
352 |
+
"loss": 0.4875,
|
353 |
+
"step": 440
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 1.3513513513513513,
|
357 |
+
"grad_norm": 2.4473206996917725,
|
358 |
+
"learning_rate": 0.00013243243243243243,
|
359 |
+
"loss": 0.5371,
|
360 |
+
"step": 450
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 1.3813813813813813,
|
364 |
+
"grad_norm": 9.87109661102295,
|
365 |
+
"learning_rate": 0.00013093093093093094,
|
366 |
+
"loss": 0.4605,
|
367 |
+
"step": 460
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 1.4114114114114114,
|
371 |
+
"grad_norm": 2.05519700050354,
|
372 |
+
"learning_rate": 0.00012942942942942943,
|
373 |
+
"loss": 0.4135,
|
374 |
+
"step": 470
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 1.4414414414414414,
|
378 |
+
"grad_norm": 3.4596476554870605,
|
379 |
+
"learning_rate": 0.00012792792792792795,
|
380 |
+
"loss": 0.543,
|
381 |
+
"step": 480
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.4714714714714714,
|
385 |
+
"grad_norm": 2.090067148208618,
|
386 |
+
"learning_rate": 0.00012642642642642644,
|
387 |
+
"loss": 0.365,
|
388 |
+
"step": 490
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 1.5015015015015014,
|
392 |
+
"grad_norm": 1.422653317451477,
|
393 |
+
"learning_rate": 0.00012492492492492492,
|
394 |
+
"loss": 0.4451,
|
395 |
+
"step": 500
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.5015015015015014,
|
399 |
+
"eval_accuracy": 0.9117959617428267,
|
400 |
+
"eval_loss": 0.3684743642807007,
|
401 |
+
"eval_runtime": 26.6937,
|
402 |
+
"eval_samples_per_second": 35.252,
|
403 |
+
"eval_steps_per_second": 4.421,
|
404 |
+
"step": 500
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 1.5315315315315314,
|
408 |
+
"grad_norm": 3.5416722297668457,
|
409 |
+
"learning_rate": 0.00012342342342342344,
|
410 |
+
"loss": 0.3413,
|
411 |
+
"step": 510
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.5615615615615615,
|
415 |
+
"grad_norm": 0.6044331789016724,
|
416 |
+
"learning_rate": 0.00012192192192192193,
|
417 |
+
"loss": 0.3424,
|
418 |
+
"step": 520
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 1.5915915915915915,
|
422 |
+
"grad_norm": 8.660246849060059,
|
423 |
+
"learning_rate": 0.00012042042042042043,
|
424 |
+
"loss": 0.4565,
|
425 |
+
"step": 530
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.6216216216216215,
|
429 |
+
"grad_norm": 4.744662761688232,
|
430 |
+
"learning_rate": 0.00011891891891891893,
|
431 |
+
"loss": 0.4159,
|
432 |
+
"step": 540
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 1.6516516516516515,
|
436 |
+
"grad_norm": 2.420365333557129,
|
437 |
+
"learning_rate": 0.00011741741741741743,
|
438 |
+
"loss": 0.356,
|
439 |
+
"step": 550
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 1.6816816816816815,
|
443 |
+
"grad_norm": 4.598628997802734,
|
444 |
+
"learning_rate": 0.00011591591591591592,
|
445 |
+
"loss": 0.4904,
|
446 |
+
"step": 560
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 1.7117117117117115,
|
450 |
+
"grad_norm": 3.6854140758514404,
|
451 |
+
"learning_rate": 0.00011441441441441443,
|
452 |
+
"loss": 0.353,
|
453 |
+
"step": 570
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 1.7417417417417418,
|
457 |
+
"grad_norm": 4.791896343231201,
|
458 |
+
"learning_rate": 0.00011291291291291293,
|
459 |
+
"loss": 0.4928,
|
460 |
+
"step": 580
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 1.7717717717717718,
|
464 |
+
"grad_norm": 4.51821231842041,
|
465 |
+
"learning_rate": 0.00011141141141141143,
|
466 |
+
"loss": 0.365,
|
467 |
+
"step": 590
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 1.8018018018018018,
|
471 |
+
"grad_norm": 4.391872882843018,
|
472 |
+
"learning_rate": 0.00010990990990990993,
|
473 |
+
"loss": 0.4535,
|
474 |
+
"step": 600
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 1.8018018018018018,
|
478 |
+
"eval_accuracy": 0.9096705632306057,
|
479 |
+
"eval_loss": 0.37811535596847534,
|
480 |
+
"eval_runtime": 26.4312,
|
481 |
+
"eval_samples_per_second": 35.602,
|
482 |
+
"eval_steps_per_second": 4.464,
|
483 |
+
"step": 600
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 1.8318318318318318,
|
487 |
+
"grad_norm": 2.613373279571533,
|
488 |
+
"learning_rate": 0.00010840840840840842,
|
489 |
+
"loss": 0.3374,
|
490 |
+
"step": 610
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 1.8618618618618619,
|
494 |
+
"grad_norm": 2.3293354511260986,
|
495 |
+
"learning_rate": 0.00010690690690690692,
|
496 |
+
"loss": 0.2425,
|
497 |
+
"step": 620
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 1.8918918918918919,
|
501 |
+
"grad_norm": 4.844559669494629,
|
502 |
+
"learning_rate": 0.0001054054054054054,
|
503 |
+
"loss": 0.4471,
|
504 |
+
"step": 630
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 1.921921921921922,
|
508 |
+
"grad_norm": 4.249619960784912,
|
509 |
+
"learning_rate": 0.0001039039039039039,
|
510 |
+
"loss": 0.4115,
|
511 |
+
"step": 640
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 1.951951951951952,
|
515 |
+
"grad_norm": 5.946290969848633,
|
516 |
+
"learning_rate": 0.0001024024024024024,
|
517 |
+
"loss": 0.4435,
|
518 |
+
"step": 650
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 1.981981981981982,
|
522 |
+
"grad_norm": 1.4038317203521729,
|
523 |
+
"learning_rate": 0.00010090090090090089,
|
524 |
+
"loss": 0.2987,
|
525 |
+
"step": 660
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 2.012012012012012,
|
529 |
+
"grad_norm": 2.397927761077881,
|
530 |
+
"learning_rate": 9.93993993993994e-05,
|
531 |
+
"loss": 0.224,
|
532 |
+
"step": 670
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 2.042042042042042,
|
536 |
+
"grad_norm": 3.2759602069854736,
|
537 |
+
"learning_rate": 9.789789789789791e-05,
|
538 |
+
"loss": 0.3491,
|
539 |
+
"step": 680
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 2.0720720720720722,
|
543 |
+
"grad_norm": 0.820797324180603,
|
544 |
+
"learning_rate": 9.639639639639641e-05,
|
545 |
+
"loss": 0.3682,
|
546 |
+
"step": 690
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 2.1021021021021022,
|
550 |
+
"grad_norm": 1.0604861974716187,
|
551 |
+
"learning_rate": 9.48948948948949e-05,
|
552 |
+
"loss": 0.4618,
|
553 |
+
"step": 700
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 2.1021021021021022,
|
557 |
+
"eval_accuracy": 0.9287991498405951,
|
558 |
+
"eval_loss": 0.3000124990940094,
|
559 |
+
"eval_runtime": 26.5936,
|
560 |
+
"eval_samples_per_second": 35.384,
|
561 |
+
"eval_steps_per_second": 4.437,
|
562 |
+
"step": 700
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 2.1321321321321323,
|
566 |
+
"grad_norm": 1.994698405265808,
|
567 |
+
"learning_rate": 9.33933933933934e-05,
|
568 |
+
"loss": 0.2813,
|
569 |
+
"step": 710
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 2.1621621621621623,
|
573 |
+
"grad_norm": 1.6023216247558594,
|
574 |
+
"learning_rate": 9.18918918918919e-05,
|
575 |
+
"loss": 0.3322,
|
576 |
+
"step": 720
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 2.1921921921921923,
|
580 |
+
"grad_norm": 6.890353679656982,
|
581 |
+
"learning_rate": 9.039039039039039e-05,
|
582 |
+
"loss": 0.2649,
|
583 |
+
"step": 730
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 2.2222222222222223,
|
587 |
+
"grad_norm": 4.888972282409668,
|
588 |
+
"learning_rate": 8.888888888888889e-05,
|
589 |
+
"loss": 0.2021,
|
590 |
+
"step": 740
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 2.2522522522522523,
|
594 |
+
"grad_norm": 4.375626564025879,
|
595 |
+
"learning_rate": 8.738738738738738e-05,
|
596 |
+
"loss": 0.3112,
|
597 |
+
"step": 750
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 2.2822822822822824,
|
601 |
+
"grad_norm": 8.04282283782959,
|
602 |
+
"learning_rate": 8.588588588588588e-05,
|
603 |
+
"loss": 0.2771,
|
604 |
+
"step": 760
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 2.3123123123123124,
|
608 |
+
"grad_norm": 3.198418140411377,
|
609 |
+
"learning_rate": 8.438438438438439e-05,
|
610 |
+
"loss": 0.291,
|
611 |
+
"step": 770
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 2.3423423423423424,
|
615 |
+
"grad_norm": 4.040826320648193,
|
616 |
+
"learning_rate": 8.288288288288289e-05,
|
617 |
+
"loss": 0.2622,
|
618 |
+
"step": 780
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 2.3723723723723724,
|
622 |
+
"grad_norm": 4.993142127990723,
|
623 |
+
"learning_rate": 8.138138138138138e-05,
|
624 |
+
"loss": 0.3394,
|
625 |
+
"step": 790
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 2.4024024024024024,
|
629 |
+
"grad_norm": 3.0009608268737793,
|
630 |
+
"learning_rate": 7.987987987987988e-05,
|
631 |
+
"loss": 0.2321,
|
632 |
+
"step": 800
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.4024024024024024,
|
636 |
+
"eval_accuracy": 0.9181721572794899,
|
637 |
+
"eval_loss": 0.31457969546318054,
|
638 |
+
"eval_runtime": 26.9039,
|
639 |
+
"eval_samples_per_second": 34.976,
|
640 |
+
"eval_steps_per_second": 4.386,
|
641 |
+
"step": 800
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 2.4324324324324325,
|
645 |
+
"grad_norm": 1.5650168657302856,
|
646 |
+
"learning_rate": 7.837837837837838e-05,
|
647 |
+
"loss": 0.1994,
|
648 |
+
"step": 810
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 2.4624624624624625,
|
652 |
+
"grad_norm": 2.945512533187866,
|
653 |
+
"learning_rate": 7.687687687687688e-05,
|
654 |
+
"loss": 0.2863,
|
655 |
+
"step": 820
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 2.4924924924924925,
|
659 |
+
"grad_norm": 6.051520824432373,
|
660 |
+
"learning_rate": 7.537537537537538e-05,
|
661 |
+
"loss": 0.3662,
|
662 |
+
"step": 830
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 2.5225225225225225,
|
666 |
+
"grad_norm": 2.5240094661712646,
|
667 |
+
"learning_rate": 7.387387387387387e-05,
|
668 |
+
"loss": 0.2587,
|
669 |
+
"step": 840
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 2.5525525525525525,
|
673 |
+
"grad_norm": 2.640320062637329,
|
674 |
+
"learning_rate": 7.237237237237238e-05,
|
675 |
+
"loss": 0.1814,
|
676 |
+
"step": 850
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 2.5825825825825826,
|
680 |
+
"grad_norm": 2.48514723777771,
|
681 |
+
"learning_rate": 7.087087087087088e-05,
|
682 |
+
"loss": 0.2494,
|
683 |
+
"step": 860
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 2.6126126126126126,
|
687 |
+
"grad_norm": 4.28499698638916,
|
688 |
+
"learning_rate": 6.936936936936938e-05,
|
689 |
+
"loss": 0.1975,
|
690 |
+
"step": 870
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 2.6426426426426426,
|
694 |
+
"grad_norm": 2.4091761112213135,
|
695 |
+
"learning_rate": 6.786786786786787e-05,
|
696 |
+
"loss": 0.1894,
|
697 |
+
"step": 880
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 2.6726726726726726,
|
701 |
+
"grad_norm": 1.1737655401229858,
|
702 |
+
"learning_rate": 6.636636636636637e-05,
|
703 |
+
"loss": 0.3093,
|
704 |
+
"step": 890
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 2.7027027027027026,
|
708 |
+
"grad_norm": 1.0858086347579956,
|
709 |
+
"learning_rate": 6.486486486486487e-05,
|
710 |
+
"loss": 0.1816,
|
711 |
+
"step": 900
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 2.7027027027027026,
|
715 |
+
"eval_accuracy": 0.9213602550478215,
|
716 |
+
"eval_loss": 0.30446675419807434,
|
717 |
+
"eval_runtime": 26.7771,
|
718 |
+
"eval_samples_per_second": 35.142,
|
719 |
+
"eval_steps_per_second": 4.407,
|
720 |
+
"step": 900
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 2.7327327327327327,
|
724 |
+
"grad_norm": 6.119840145111084,
|
725 |
+
"learning_rate": 6.336336336336337e-05,
|
726 |
+
"loss": 0.3395,
|
727 |
+
"step": 910
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 2.7627627627627627,
|
731 |
+
"grad_norm": 1.7285120487213135,
|
732 |
+
"learning_rate": 6.186186186186186e-05,
|
733 |
+
"loss": 0.2643,
|
734 |
+
"step": 920
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.7927927927927927,
|
738 |
+
"grad_norm": 4.141608715057373,
|
739 |
+
"learning_rate": 6.0360360360360365e-05,
|
740 |
+
"loss": 0.1987,
|
741 |
+
"step": 930
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.8228228228228227,
|
745 |
+
"grad_norm": 3.5640854835510254,
|
746 |
+
"learning_rate": 5.8858858858858854e-05,
|
747 |
+
"loss": 0.2566,
|
748 |
+
"step": 940
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 2.8528528528528527,
|
752 |
+
"grad_norm": 0.9691357612609863,
|
753 |
+
"learning_rate": 5.7357357357357356e-05,
|
754 |
+
"loss": 0.2895,
|
755 |
+
"step": 950
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 2.8828828828828827,
|
759 |
+
"grad_norm": 2.255638360977173,
|
760 |
+
"learning_rate": 5.585585585585585e-05,
|
761 |
+
"loss": 0.2138,
|
762 |
+
"step": 960
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 2.9129129129129128,
|
766 |
+
"grad_norm": 3.9691970348358154,
|
767 |
+
"learning_rate": 5.435435435435435e-05,
|
768 |
+
"loss": 0.1973,
|
769 |
+
"step": 970
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 2.942942942942943,
|
773 |
+
"grad_norm": 2.5032782554626465,
|
774 |
+
"learning_rate": 5.2852852852852855e-05,
|
775 |
+
"loss": 0.2642,
|
776 |
+
"step": 980
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 2.972972972972973,
|
780 |
+
"grad_norm": 4.827852725982666,
|
781 |
+
"learning_rate": 5.135135135135135e-05,
|
782 |
+
"loss": 0.2679,
|
783 |
+
"step": 990
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 3.003003003003003,
|
787 |
+
"grad_norm": 0.1294238269329071,
|
788 |
+
"learning_rate": 4.984984984984985e-05,
|
789 |
+
"loss": 0.2332,
|
790 |
+
"step": 1000
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 3.003003003003003,
|
794 |
+
"eval_accuracy": 0.9043570669500531,
|
795 |
+
"eval_loss": 0.3445766568183899,
|
796 |
+
"eval_runtime": 26.6419,
|
797 |
+
"eval_samples_per_second": 35.32,
|
798 |
+
"eval_steps_per_second": 4.429,
|
799 |
+
"step": 1000
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 3.033033033033033,
|
803 |
+
"grad_norm": 3.9579365253448486,
|
804 |
+
"learning_rate": 4.834834834834835e-05,
|
805 |
+
"loss": 0.196,
|
806 |
+
"step": 1010
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 3.063063063063063,
|
810 |
+
"grad_norm": 3.364076852798462,
|
811 |
+
"learning_rate": 4.684684684684685e-05,
|
812 |
+
"loss": 0.2462,
|
813 |
+
"step": 1020
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 3.093093093093093,
|
817 |
+
"grad_norm": 2.6246888637542725,
|
818 |
+
"learning_rate": 4.5345345345345345e-05,
|
819 |
+
"loss": 0.1611,
|
820 |
+
"step": 1030
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 3.123123123123123,
|
824 |
+
"grad_norm": 0.28202980756759644,
|
825 |
+
"learning_rate": 4.384384384384385e-05,
|
826 |
+
"loss": 0.1105,
|
827 |
+
"step": 1040
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 3.153153153153153,
|
831 |
+
"grad_norm": 0.38636475801467896,
|
832 |
+
"learning_rate": 4.234234234234234e-05,
|
833 |
+
"loss": 0.1293,
|
834 |
+
"step": 1050
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 3.1831831831831834,
|
838 |
+
"grad_norm": 2.700636625289917,
|
839 |
+
"learning_rate": 4.0840840840840845e-05,
|
840 |
+
"loss": 0.2852,
|
841 |
+
"step": 1060
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 3.2132132132132134,
|
845 |
+
"grad_norm": 5.883915424346924,
|
846 |
+
"learning_rate": 3.933933933933934e-05,
|
847 |
+
"loss": 0.1586,
|
848 |
+
"step": 1070
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 3.2432432432432434,
|
852 |
+
"grad_norm": 0.6246801614761353,
|
853 |
+
"learning_rate": 3.783783783783784e-05,
|
854 |
+
"loss": 0.1551,
|
855 |
+
"step": 1080
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 3.2732732732732734,
|
859 |
+
"grad_norm": 1.7150659561157227,
|
860 |
+
"learning_rate": 3.633633633633634e-05,
|
861 |
+
"loss": 0.1931,
|
862 |
+
"step": 1090
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 3.3033033033033035,
|
866 |
+
"grad_norm": 0.42575761675834656,
|
867 |
+
"learning_rate": 3.483483483483483e-05,
|
868 |
+
"loss": 0.1173,
|
869 |
+
"step": 1100
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 3.3033033033033035,
|
873 |
+
"eval_accuracy": 0.9415515409139213,
|
874 |
+
"eval_loss": 0.23813442885875702,
|
875 |
+
"eval_runtime": 26.6996,
|
876 |
+
"eval_samples_per_second": 35.244,
|
877 |
+
"eval_steps_per_second": 4.42,
|
878 |
+
"step": 1100
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 3.3333333333333335,
|
882 |
+
"grad_norm": 1.8270289897918701,
|
883 |
+
"learning_rate": 3.3333333333333335e-05,
|
884 |
+
"loss": 0.3149,
|
885 |
+
"step": 1110
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 3.3633633633633635,
|
889 |
+
"grad_norm": 0.11395557224750519,
|
890 |
+
"learning_rate": 3.183183183183183e-05,
|
891 |
+
"loss": 0.2494,
|
892 |
+
"step": 1120
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 3.3933933933933935,
|
896 |
+
"grad_norm": 3.1319284439086914,
|
897 |
+
"learning_rate": 3.0330330330330332e-05,
|
898 |
+
"loss": 0.1403,
|
899 |
+
"step": 1130
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 3.4234234234234235,
|
903 |
+
"grad_norm": 1.6305768489837646,
|
904 |
+
"learning_rate": 2.882882882882883e-05,
|
905 |
+
"loss": 0.2106,
|
906 |
+
"step": 1140
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 3.4534534534534536,
|
910 |
+
"grad_norm": 2.2145802974700928,
|
911 |
+
"learning_rate": 2.732732732732733e-05,
|
912 |
+
"loss": 0.1435,
|
913 |
+
"step": 1150
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 3.4834834834834836,
|
917 |
+
"grad_norm": 1.2664133310317993,
|
918 |
+
"learning_rate": 2.582582582582583e-05,
|
919 |
+
"loss": 0.2026,
|
920 |
+
"step": 1160
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 3.5135135135135136,
|
924 |
+
"grad_norm": 0.11266277730464935,
|
925 |
+
"learning_rate": 2.4324324324324327e-05,
|
926 |
+
"loss": 0.2054,
|
927 |
+
"step": 1170
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 3.5435435435435436,
|
931 |
+
"grad_norm": 4.44317626953125,
|
932 |
+
"learning_rate": 2.2822822822822822e-05,
|
933 |
+
"loss": 0.1943,
|
934 |
+
"step": 1180
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 3.5735735735735736,
|
938 |
+
"grad_norm": 2.41487979888916,
|
939 |
+
"learning_rate": 2.132132132132132e-05,
|
940 |
+
"loss": 0.2326,
|
941 |
+
"step": 1190
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 3.6036036036036037,
|
945 |
+
"grad_norm": 6.012082099914551,
|
946 |
+
"learning_rate": 1.981981981981982e-05,
|
947 |
+
"loss": 0.2694,
|
948 |
+
"step": 1200
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 3.6036036036036037,
|
952 |
+
"eval_accuracy": 0.9426142401700319,
|
953 |
+
"eval_loss": 0.21462436020374298,
|
954 |
+
"eval_runtime": 26.5228,
|
955 |
+
"eval_samples_per_second": 35.479,
|
956 |
+
"eval_steps_per_second": 4.449,
|
957 |
+
"step": 1200
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 3.6336336336336337,
|
961 |
+
"grad_norm": 4.844743251800537,
|
962 |
+
"learning_rate": 1.831831831831832e-05,
|
963 |
+
"loss": 0.1067,
|
964 |
+
"step": 1210
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 3.6636636636636637,
|
968 |
+
"grad_norm": 0.3227928876876831,
|
969 |
+
"learning_rate": 1.6816816816816817e-05,
|
970 |
+
"loss": 0.0959,
|
971 |
+
"step": 1220
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 3.6936936936936937,
|
975 |
+
"grad_norm": 1.930338978767395,
|
976 |
+
"learning_rate": 1.5315315315315316e-05,
|
977 |
+
"loss": 0.2313,
|
978 |
+
"step": 1230
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 3.7237237237237237,
|
982 |
+
"grad_norm": 4.675666332244873,
|
983 |
+
"learning_rate": 1.3813813813813815e-05,
|
984 |
+
"loss": 0.1652,
|
985 |
+
"step": 1240
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"epoch": 3.7537537537537538,
|
989 |
+
"grad_norm": 0.07279150187969208,
|
990 |
+
"learning_rate": 1.2312312312312313e-05,
|
991 |
+
"loss": 0.1007,
|
992 |
+
"step": 1250
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 3.7837837837837838,
|
996 |
+
"grad_norm": 0.06191149726510048,
|
997 |
+
"learning_rate": 1.0810810810810812e-05,
|
998 |
+
"loss": 0.1737,
|
999 |
+
"step": 1260
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 3.813813813813814,
|
1003 |
+
"grad_norm": 0.23188060522079468,
|
1004 |
+
"learning_rate": 9.309309309309309e-06,
|
1005 |
+
"loss": 0.1923,
|
1006 |
+
"step": 1270
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 3.843843843843844,
|
1010 |
+
"grad_norm": 0.0755883976817131,
|
1011 |
+
"learning_rate": 7.807807807807808e-06,
|
1012 |
+
"loss": 0.0793,
|
1013 |
+
"step": 1280
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 3.873873873873874,
|
1017 |
+
"grad_norm": 3.1278254985809326,
|
1018 |
+
"learning_rate": 6.306306306306306e-06,
|
1019 |
+
"loss": 0.1839,
|
1020 |
+
"step": 1290
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 3.903903903903904,
|
1024 |
+
"grad_norm": 0.0690230205655098,
|
1025 |
+
"learning_rate": 4.804804804804805e-06,
|
1026 |
+
"loss": 0.1227,
|
1027 |
+
"step": 1300
|
1028 |
+
},
|
1029 |
+
{
|
1030 |
+
"epoch": 3.903903903903904,
|
1031 |
+
"eval_accuracy": 0.9489904357066951,
|
1032 |
+
"eval_loss": 0.22585047781467438,
|
1033 |
+
"eval_runtime": 26.5743,
|
1034 |
+
"eval_samples_per_second": 35.41,
|
1035 |
+
"eval_steps_per_second": 4.44,
|
1036 |
+
"step": 1300
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"epoch": 3.933933933933934,
|
1040 |
+
"grad_norm": 4.087301254272461,
|
1041 |
+
"learning_rate": 3.3033033033033035e-06,
|
1042 |
+
"loss": 0.1755,
|
1043 |
+
"step": 1310
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 3.963963963963964,
|
1047 |
+
"grad_norm": 1.5509567260742188,
|
1048 |
+
"learning_rate": 1.801801801801802e-06,
|
1049 |
+
"loss": 0.2882,
|
1050 |
+
"step": 1320
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 3.993993993993994,
|
1054 |
+
"grad_norm": 0.1417875587940216,
|
1055 |
+
"learning_rate": 3.003003003003003e-07,
|
1056 |
+
"loss": 0.1315,
|
1057 |
+
"step": 1330
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 4.0,
|
1061 |
+
"step": 1332,
|
1062 |
+
"total_flos": 1.651775717862015e+18,
|
1063 |
+
"train_loss": 0.4770685946261203,
|
1064 |
+
"train_runtime": 1116.421,
|
1065 |
+
"train_samples_per_second": 19.09,
|
1066 |
+
"train_steps_per_second": 1.193
|
1067 |
+
}
|
1068 |
+
],
|
1069 |
+
"logging_steps": 10,
|
1070 |
+
"max_steps": 1332,
|
1071 |
+
"num_input_tokens_seen": 0,
|
1072 |
+
"num_train_epochs": 4,
|
1073 |
+
"save_steps": 100,
|
1074 |
+
"stateful_callbacks": {
|
1075 |
+
"TrainerControl": {
|
1076 |
+
"args": {
|
1077 |
+
"should_epoch_stop": false,
|
1078 |
+
"should_evaluate": false,
|
1079 |
+
"should_log": false,
|
1080 |
+
"should_save": true,
|
1081 |
+
"should_training_stop": true
|
1082 |
+
},
|
1083 |
+
"attributes": {}
|
1084 |
+
}
|
1085 |
+
},
|
1086 |
+
"total_flos": 1.651775717862015e+18,
|
1087 |
+
"train_batch_size": 16,
|
1088 |
+
"trial_name": null,
|
1089 |
+
"trial_params": null
|
1090 |
+
}
|