adhisetiawan
commited on
Commit
•
f10985f
1
Parent(s):
77a05f7
End of training
Browse files- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Oct26_04-05-49_4c56d22e99c3/events.out.tfevents.1729923978.4c56d22e99c3.214.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1182 -0
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.995776630689817,
|
3 |
+
"eval_accuracy": 0.834983498349835,
|
4 |
+
"eval_loss": 0.6400949358940125,
|
5 |
+
"eval_runtime": 121.5182,
|
6 |
+
"eval_samples_per_second": 62.336,
|
7 |
+
"eval_steps_per_second": 1.95,
|
8 |
+
"total_flos": 1.584209316447959e+19,
|
9 |
+
"train_loss": 1.1699181137825911,
|
10 |
+
"train_runtime": 8274.5103,
|
11 |
+
"train_samples_per_second": 24.717,
|
12 |
+
"train_steps_per_second": 0.193
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.995776630689817,
|
3 |
+
"eval_accuracy": 0.834983498349835,
|
4 |
+
"eval_loss": 0.6400949358940125,
|
5 |
+
"eval_runtime": 121.5182,
|
6 |
+
"eval_samples_per_second": 62.336,
|
7 |
+
"eval_steps_per_second": 1.95
|
8 |
+
}
|
runs/Oct26_04-05-49_4c56d22e99c3/events.out.tfevents.1729923978.4c56d22e99c3.214.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f36dbd3d84a6965d70511f0887ea0848067d8d3a6d0b9530eac04b0cc7211425
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.995776630689817,
|
3 |
+
"total_flos": 1.584209316447959e+19,
|
4 |
+
"train_loss": 1.1699181137825911,
|
5 |
+
"train_runtime": 8274.5103,
|
6 |
+
"train_samples_per_second": 24.717,
|
7 |
+
"train_steps_per_second": 0.193
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1182 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.834983498349835,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-finetuned-food101/checkpoint-1596",
|
4 |
+
"epoch": 2.995776630689817,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1596,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.018770530267480056,
|
13 |
+
"grad_norm": 2.9933698177337646,
|
14 |
+
"learning_rate": 3.125e-06,
|
15 |
+
"loss": 4.739,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.03754106053496011,
|
20 |
+
"grad_norm": 3.0962929725646973,
|
21 |
+
"learning_rate": 6.25e-06,
|
22 |
+
"loss": 4.7159,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05631159080244017,
|
27 |
+
"grad_norm": 3.2671728134155273,
|
28 |
+
"learning_rate": 9.375000000000001e-06,
|
29 |
+
"loss": 4.6674,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.07508212106992022,
|
34 |
+
"grad_norm": 3.073523759841919,
|
35 |
+
"learning_rate": 1.25e-05,
|
36 |
+
"loss": 4.6293,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.09385265133740028,
|
41 |
+
"grad_norm": 3.1302390098571777,
|
42 |
+
"learning_rate": 1.5625e-05,
|
43 |
+
"loss": 4.5709,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.11262318160488034,
|
48 |
+
"grad_norm": 2.9043614864349365,
|
49 |
+
"learning_rate": 1.8750000000000002e-05,
|
50 |
+
"loss": 4.4634,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.1313937118723604,
|
55 |
+
"grad_norm": 3.4175333976745605,
|
56 |
+
"learning_rate": 2.1875e-05,
|
57 |
+
"loss": 4.3879,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.15016424213984045,
|
62 |
+
"grad_norm": 3.323888063430786,
|
63 |
+
"learning_rate": 2.5e-05,
|
64 |
+
"loss": 4.2587,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1689347724073205,
|
69 |
+
"grad_norm": 3.0213475227355957,
|
70 |
+
"learning_rate": 2.8125000000000003e-05,
|
71 |
+
"loss": 4.0885,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.18770530267480057,
|
76 |
+
"grad_norm": 3.02178955078125,
|
77 |
+
"learning_rate": 3.125e-05,
|
78 |
+
"loss": 3.9028,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.2064758329422806,
|
83 |
+
"grad_norm": 3.3495538234710693,
|
84 |
+
"learning_rate": 3.4375e-05,
|
85 |
+
"loss": 3.7353,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.22524636320976069,
|
90 |
+
"grad_norm": 3.1515848636627197,
|
91 |
+
"learning_rate": 3.7500000000000003e-05,
|
92 |
+
"loss": 3.4697,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.24401689347724073,
|
97 |
+
"grad_norm": 3.284679889678955,
|
98 |
+
"learning_rate": 4.0625000000000005e-05,
|
99 |
+
"loss": 3.2815,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.2627874237447208,
|
104 |
+
"grad_norm": 3.226576805114746,
|
105 |
+
"learning_rate": 4.375e-05,
|
106 |
+
"loss": 2.9895,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.28155795401220085,
|
111 |
+
"grad_norm": 3.181521415710449,
|
112 |
+
"learning_rate": 4.6875e-05,
|
113 |
+
"loss": 2.7421,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.3003284842796809,
|
118 |
+
"grad_norm": 3.1563026905059814,
|
119 |
+
"learning_rate": 5e-05,
|
120 |
+
"loss": 2.587,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.31909901454716094,
|
125 |
+
"grad_norm": 3.2322466373443604,
|
126 |
+
"learning_rate": 4.965181058495822e-05,
|
127 |
+
"loss": 2.3671,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.337869544814641,
|
132 |
+
"grad_norm": 3.2258055210113525,
|
133 |
+
"learning_rate": 4.930362116991643e-05,
|
134 |
+
"loss": 2.1425,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.3566400750821211,
|
139 |
+
"grad_norm": 3.141265392303467,
|
140 |
+
"learning_rate": 4.895543175487465e-05,
|
141 |
+
"loss": 2.0185,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.37541060534960113,
|
146 |
+
"grad_norm": 3.157705307006836,
|
147 |
+
"learning_rate": 4.860724233983287e-05,
|
148 |
+
"loss": 1.9035,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3941811356170812,
|
153 |
+
"grad_norm": 3.300532102584839,
|
154 |
+
"learning_rate": 4.825905292479109e-05,
|
155 |
+
"loss": 1.8364,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.4129516658845612,
|
160 |
+
"grad_norm": 3.4612457752227783,
|
161 |
+
"learning_rate": 4.79108635097493e-05,
|
162 |
+
"loss": 1.693,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.43172219615204127,
|
167 |
+
"grad_norm": 3.306436777114868,
|
168 |
+
"learning_rate": 4.756267409470752e-05,
|
169 |
+
"loss": 1.5683,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.45049272641952137,
|
174 |
+
"grad_norm": 3.522141695022583,
|
175 |
+
"learning_rate": 4.721448467966574e-05,
|
176 |
+
"loss": 1.5139,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4692632566870014,
|
181 |
+
"grad_norm": 3.511997938156128,
|
182 |
+
"learning_rate": 4.686629526462396e-05,
|
183 |
+
"loss": 1.4348,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.48803378695448146,
|
188 |
+
"grad_norm": 3.343367576599121,
|
189 |
+
"learning_rate": 4.6518105849582176e-05,
|
190 |
+
"loss": 1.3879,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.5068043172219615,
|
195 |
+
"grad_norm": 3.2004270553588867,
|
196 |
+
"learning_rate": 4.6169916434540394e-05,
|
197 |
+
"loss": 1.3787,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.5255748474894416,
|
202 |
+
"grad_norm": 3.113529682159424,
|
203 |
+
"learning_rate": 4.582172701949861e-05,
|
204 |
+
"loss": 1.3503,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.5443453777569216,
|
209 |
+
"grad_norm": 3.2955970764160156,
|
210 |
+
"learning_rate": 4.547353760445683e-05,
|
211 |
+
"loss": 1.3139,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.5631159080244017,
|
216 |
+
"grad_norm": 3.1911182403564453,
|
217 |
+
"learning_rate": 4.5125348189415044e-05,
|
218 |
+
"loss": 1.2995,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.5818864382918817,
|
223 |
+
"grad_norm": 3.416416645050049,
|
224 |
+
"learning_rate": 4.477715877437326e-05,
|
225 |
+
"loss": 1.2014,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.6006569685593618,
|
230 |
+
"grad_norm": 4.6215410232543945,
|
231 |
+
"learning_rate": 4.442896935933148e-05,
|
232 |
+
"loss": 1.1872,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.6194274988268419,
|
237 |
+
"grad_norm": 3.202340841293335,
|
238 |
+
"learning_rate": 4.40807799442897e-05,
|
239 |
+
"loss": 1.1448,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.6381980290943219,
|
244 |
+
"grad_norm": 3.1017255783081055,
|
245 |
+
"learning_rate": 4.373259052924791e-05,
|
246 |
+
"loss": 1.2542,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.656968559361802,
|
251 |
+
"grad_norm": 3.4146809577941895,
|
252 |
+
"learning_rate": 4.338440111420613e-05,
|
253 |
+
"loss": 1.143,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.675739089629282,
|
258 |
+
"grad_norm": 3.4860126972198486,
|
259 |
+
"learning_rate": 4.303621169916435e-05,
|
260 |
+
"loss": 1.1936,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.6945096198967621,
|
265 |
+
"grad_norm": 3.000502109527588,
|
266 |
+
"learning_rate": 4.268802228412256e-05,
|
267 |
+
"loss": 1.0896,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.7132801501642422,
|
272 |
+
"grad_norm": 3.3682737350463867,
|
273 |
+
"learning_rate": 4.233983286908078e-05,
|
274 |
+
"loss": 0.9863,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.7320506804317222,
|
279 |
+
"grad_norm": 2.903545379638672,
|
280 |
+
"learning_rate": 4.1991643454039e-05,
|
281 |
+
"loss": 1.0206,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.7508212106992023,
|
286 |
+
"grad_norm": 3.5237250328063965,
|
287 |
+
"learning_rate": 4.164345403899722e-05,
|
288 |
+
"loss": 1.0655,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.7695917409666823,
|
293 |
+
"grad_norm": 3.5761749744415283,
|
294 |
+
"learning_rate": 4.129526462395543e-05,
|
295 |
+
"loss": 1.0016,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.7883622712341624,
|
300 |
+
"grad_norm": 3.3111650943756104,
|
301 |
+
"learning_rate": 4.094707520891365e-05,
|
302 |
+
"loss": 1.0225,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.8071328015016425,
|
307 |
+
"grad_norm": 2.9664759635925293,
|
308 |
+
"learning_rate": 4.0598885793871866e-05,
|
309 |
+
"loss": 1.0624,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.8259033317691225,
|
314 |
+
"grad_norm": 3.750908136367798,
|
315 |
+
"learning_rate": 4.0250696378830085e-05,
|
316 |
+
"loss": 1.0223,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.8446738620366026,
|
321 |
+
"grad_norm": 3.176248788833618,
|
322 |
+
"learning_rate": 3.9902506963788303e-05,
|
323 |
+
"loss": 0.9834,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.8634443923040825,
|
328 |
+
"grad_norm": 3.428868293762207,
|
329 |
+
"learning_rate": 3.955431754874652e-05,
|
330 |
+
"loss": 1.0338,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.8822149225715626,
|
335 |
+
"grad_norm": 3.6257553100585938,
|
336 |
+
"learning_rate": 3.920612813370474e-05,
|
337 |
+
"loss": 1.0156,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.9009854528390427,
|
342 |
+
"grad_norm": 3.195758104324341,
|
343 |
+
"learning_rate": 3.885793871866296e-05,
|
344 |
+
"loss": 1.0171,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.9197559831065227,
|
349 |
+
"grad_norm": 2.6419994831085205,
|
350 |
+
"learning_rate": 3.850974930362117e-05,
|
351 |
+
"loss": 0.9735,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.9385265133740028,
|
356 |
+
"grad_norm": 3.462597608566284,
|
357 |
+
"learning_rate": 3.816155988857939e-05,
|
358 |
+
"loss": 1.0049,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.9572970436414828,
|
363 |
+
"grad_norm": 2.8139870166778564,
|
364 |
+
"learning_rate": 3.781337047353761e-05,
|
365 |
+
"loss": 0.9696,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.9760675739089629,
|
370 |
+
"grad_norm": 3.027811288833618,
|
371 |
+
"learning_rate": 3.746518105849583e-05,
|
372 |
+
"loss": 0.9242,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.994838104176443,
|
377 |
+
"grad_norm": 3.6760294437408447,
|
378 |
+
"learning_rate": 3.711699164345404e-05,
|
379 |
+
"loss": 0.912,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.998592210229939,
|
384 |
+
"eval_accuracy": 0.7968316831683169,
|
385 |
+
"eval_loss": 0.8397366404533386,
|
386 |
+
"eval_runtime": 120.4032,
|
387 |
+
"eval_samples_per_second": 62.914,
|
388 |
+
"eval_steps_per_second": 1.968,
|
389 |
+
"step": 532
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.013608634443923,
|
393 |
+
"grad_norm": 2.9862356185913086,
|
394 |
+
"learning_rate": 3.676880222841226e-05,
|
395 |
+
"loss": 0.8398,
|
396 |
+
"step": 540
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.0323791647114031,
|
400 |
+
"grad_norm": 3.0735647678375244,
|
401 |
+
"learning_rate": 3.642061281337048e-05,
|
402 |
+
"loss": 0.8379,
|
403 |
+
"step": 550
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 1.0511496949788832,
|
407 |
+
"grad_norm": 3.5392494201660156,
|
408 |
+
"learning_rate": 3.607242339832869e-05,
|
409 |
+
"loss": 0.8264,
|
410 |
+
"step": 560
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.069920225246363,
|
414 |
+
"grad_norm": 3.511627435684204,
|
415 |
+
"learning_rate": 3.572423398328691e-05,
|
416 |
+
"loss": 0.8204,
|
417 |
+
"step": 570
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 1.0886907555138432,
|
421 |
+
"grad_norm": 3.393699884414673,
|
422 |
+
"learning_rate": 3.5376044568245126e-05,
|
423 |
+
"loss": 0.8963,
|
424 |
+
"step": 580
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 1.1074612857813233,
|
428 |
+
"grad_norm": 4.332097053527832,
|
429 |
+
"learning_rate": 3.5027855153203345e-05,
|
430 |
+
"loss": 0.8623,
|
431 |
+
"step": 590
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.1262318160488034,
|
435 |
+
"grad_norm": 3.1262927055358887,
|
436 |
+
"learning_rate": 3.4679665738161556e-05,
|
437 |
+
"loss": 0.8025,
|
438 |
+
"step": 600
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 1.1450023463162835,
|
442 |
+
"grad_norm": 3.1130638122558594,
|
443 |
+
"learning_rate": 3.4331476323119775e-05,
|
444 |
+
"loss": 0.8388,
|
445 |
+
"step": 610
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 1.1637728765837636,
|
449 |
+
"grad_norm": 3.509665012359619,
|
450 |
+
"learning_rate": 3.3983286908077994e-05,
|
451 |
+
"loss": 0.8306,
|
452 |
+
"step": 620
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 1.1825434068512435,
|
456 |
+
"grad_norm": 3.595564842224121,
|
457 |
+
"learning_rate": 3.363509749303621e-05,
|
458 |
+
"loss": 0.8241,
|
459 |
+
"step": 630
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.2013139371187236,
|
463 |
+
"grad_norm": 2.9736037254333496,
|
464 |
+
"learning_rate": 3.328690807799443e-05,
|
465 |
+
"loss": 0.8333,
|
466 |
+
"step": 640
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.2200844673862037,
|
470 |
+
"grad_norm": 3.5477538108825684,
|
471 |
+
"learning_rate": 3.293871866295265e-05,
|
472 |
+
"loss": 0.84,
|
473 |
+
"step": 650
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.2388549976536838,
|
477 |
+
"grad_norm": 3.617574453353882,
|
478 |
+
"learning_rate": 3.259052924791087e-05,
|
479 |
+
"loss": 0.7652,
|
480 |
+
"step": 660
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.2576255279211637,
|
484 |
+
"grad_norm": 3.621431589126587,
|
485 |
+
"learning_rate": 3.224233983286909e-05,
|
486 |
+
"loss": 0.7634,
|
487 |
+
"step": 670
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 1.2763960581886438,
|
491 |
+
"grad_norm": 3.5540874004364014,
|
492 |
+
"learning_rate": 3.18941504178273e-05,
|
493 |
+
"loss": 0.7951,
|
494 |
+
"step": 680
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.2951665884561239,
|
498 |
+
"grad_norm": 3.1876299381256104,
|
499 |
+
"learning_rate": 3.154596100278552e-05,
|
500 |
+
"loss": 0.787,
|
501 |
+
"step": 690
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.313937118723604,
|
505 |
+
"grad_norm": 3.8441293239593506,
|
506 |
+
"learning_rate": 3.1197771587743737e-05,
|
507 |
+
"loss": 0.7799,
|
508 |
+
"step": 700
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 1.332707648991084,
|
512 |
+
"grad_norm": 3.2278223037719727,
|
513 |
+
"learning_rate": 3.0849582172701955e-05,
|
514 |
+
"loss": 0.845,
|
515 |
+
"step": 710
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.3514781792585642,
|
519 |
+
"grad_norm": 3.1881773471832275,
|
520 |
+
"learning_rate": 3.050139275766017e-05,
|
521 |
+
"loss": 0.7415,
|
522 |
+
"step": 720
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 1.370248709526044,
|
526 |
+
"grad_norm": 3.34291672706604,
|
527 |
+
"learning_rate": 3.0153203342618386e-05,
|
528 |
+
"loss": 0.7424,
|
529 |
+
"step": 730
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 1.3890192397935242,
|
533 |
+
"grad_norm": 5.416168689727783,
|
534 |
+
"learning_rate": 2.98050139275766e-05,
|
535 |
+
"loss": 0.8025,
|
536 |
+
"step": 740
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.4077897700610043,
|
540 |
+
"grad_norm": 3.111943244934082,
|
541 |
+
"learning_rate": 2.945682451253482e-05,
|
542 |
+
"loss": 0.8537,
|
543 |
+
"step": 750
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 1.4265603003284844,
|
547 |
+
"grad_norm": 3.118394374847412,
|
548 |
+
"learning_rate": 2.9108635097493035e-05,
|
549 |
+
"loss": 0.7796,
|
550 |
+
"step": 760
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 1.4453308305959642,
|
554 |
+
"grad_norm": 3.8577425479888916,
|
555 |
+
"learning_rate": 2.8760445682451254e-05,
|
556 |
+
"loss": 0.7926,
|
557 |
+
"step": 770
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 1.4641013608634443,
|
561 |
+
"grad_norm": 4.177425384521484,
|
562 |
+
"learning_rate": 2.841225626740947e-05,
|
563 |
+
"loss": 0.7863,
|
564 |
+
"step": 780
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 1.4828718911309244,
|
568 |
+
"grad_norm": 3.465301275253296,
|
569 |
+
"learning_rate": 2.8064066852367688e-05,
|
570 |
+
"loss": 0.7687,
|
571 |
+
"step": 790
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 1.5016424213984045,
|
575 |
+
"grad_norm": 3.2810630798339844,
|
576 |
+
"learning_rate": 2.7715877437325903e-05,
|
577 |
+
"loss": 0.8167,
|
578 |
+
"step": 800
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 1.5204129516658846,
|
582 |
+
"grad_norm": 3.05501127243042,
|
583 |
+
"learning_rate": 2.736768802228412e-05,
|
584 |
+
"loss": 0.7299,
|
585 |
+
"step": 810
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 1.5391834819333647,
|
589 |
+
"grad_norm": 2.9829261302948,
|
590 |
+
"learning_rate": 2.7019498607242337e-05,
|
591 |
+
"loss": 0.7677,
|
592 |
+
"step": 820
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 1.5579540122008448,
|
596 |
+
"grad_norm": 3.561396360397339,
|
597 |
+
"learning_rate": 2.6671309192200562e-05,
|
598 |
+
"loss": 0.7813,
|
599 |
+
"step": 830
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 1.5767245424683247,
|
603 |
+
"grad_norm": 2.8982436656951904,
|
604 |
+
"learning_rate": 2.6323119777158778e-05,
|
605 |
+
"loss": 0.731,
|
606 |
+
"step": 840
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.5954950727358048,
|
610 |
+
"grad_norm": 3.406423330307007,
|
611 |
+
"learning_rate": 2.5974930362116996e-05,
|
612 |
+
"loss": 0.73,
|
613 |
+
"step": 850
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 1.6142656030032847,
|
617 |
+
"grad_norm": 3.0049679279327393,
|
618 |
+
"learning_rate": 2.562674094707521e-05,
|
619 |
+
"loss": 0.7826,
|
620 |
+
"step": 860
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 1.6330361332707648,
|
624 |
+
"grad_norm": 3.500458002090454,
|
625 |
+
"learning_rate": 2.527855153203343e-05,
|
626 |
+
"loss": 0.7499,
|
627 |
+
"step": 870
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 1.651806663538245,
|
631 |
+
"grad_norm": 3.0891637802124023,
|
632 |
+
"learning_rate": 2.4930362116991646e-05,
|
633 |
+
"loss": 0.7587,
|
634 |
+
"step": 880
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 1.670577193805725,
|
638 |
+
"grad_norm": 3.149742841720581,
|
639 |
+
"learning_rate": 2.4582172701949864e-05,
|
640 |
+
"loss": 0.7374,
|
641 |
+
"step": 890
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 1.689347724073205,
|
645 |
+
"grad_norm": 3.1518661975860596,
|
646 |
+
"learning_rate": 2.423398328690808e-05,
|
647 |
+
"loss": 0.7893,
|
648 |
+
"step": 900
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 1.7081182543406852,
|
652 |
+
"grad_norm": 3.08024525642395,
|
653 |
+
"learning_rate": 2.3885793871866298e-05,
|
654 |
+
"loss": 0.7853,
|
655 |
+
"step": 910
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 1.7268887846081653,
|
659 |
+
"grad_norm": 3.158390522003174,
|
660 |
+
"learning_rate": 2.3537604456824514e-05,
|
661 |
+
"loss": 0.7694,
|
662 |
+
"step": 920
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 1.7456593148756452,
|
666 |
+
"grad_norm": 3.0718069076538086,
|
667 |
+
"learning_rate": 2.318941504178273e-05,
|
668 |
+
"loss": 0.7843,
|
669 |
+
"step": 930
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 1.7644298451431253,
|
673 |
+
"grad_norm": 3.4767684936523438,
|
674 |
+
"learning_rate": 2.2841225626740948e-05,
|
675 |
+
"loss": 0.7483,
|
676 |
+
"step": 940
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 1.7832003754106054,
|
680 |
+
"grad_norm": 3.350541353225708,
|
681 |
+
"learning_rate": 2.2493036211699163e-05,
|
682 |
+
"loss": 0.7457,
|
683 |
+
"step": 950
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 1.8019709056780853,
|
687 |
+
"grad_norm": 3.4785940647125244,
|
688 |
+
"learning_rate": 2.214484679665738e-05,
|
689 |
+
"loss": 0.7586,
|
690 |
+
"step": 960
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.8207414359455654,
|
694 |
+
"grad_norm": 3.245809316635132,
|
695 |
+
"learning_rate": 2.17966573816156e-05,
|
696 |
+
"loss": 0.7035,
|
697 |
+
"step": 970
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 1.8395119662130455,
|
701 |
+
"grad_norm": 3.292048692703247,
|
702 |
+
"learning_rate": 2.144846796657382e-05,
|
703 |
+
"loss": 0.7366,
|
704 |
+
"step": 980
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.8582824964805256,
|
708 |
+
"grad_norm": 4.539200305938721,
|
709 |
+
"learning_rate": 2.1100278551532034e-05,
|
710 |
+
"loss": 0.7377,
|
711 |
+
"step": 990
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.8770530267480057,
|
715 |
+
"grad_norm": 2.6051247119903564,
|
716 |
+
"learning_rate": 2.0752089136490253e-05,
|
717 |
+
"loss": 0.8442,
|
718 |
+
"step": 1000
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 1.8958235570154858,
|
722 |
+
"grad_norm": 3.7407584190368652,
|
723 |
+
"learning_rate": 2.0403899721448468e-05,
|
724 |
+
"loss": 0.732,
|
725 |
+
"step": 1010
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.9145940872829659,
|
729 |
+
"grad_norm": 3.855624198913574,
|
730 |
+
"learning_rate": 2.0055710306406687e-05,
|
731 |
+
"loss": 0.8147,
|
732 |
+
"step": 1020
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.9333646175504458,
|
736 |
+
"grad_norm": 3.7936253547668457,
|
737 |
+
"learning_rate": 1.9707520891364902e-05,
|
738 |
+
"loss": 0.6852,
|
739 |
+
"step": 1030
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 1.9521351478179259,
|
743 |
+
"grad_norm": 3.4030821323394775,
|
744 |
+
"learning_rate": 1.935933147632312e-05,
|
745 |
+
"loss": 0.7311,
|
746 |
+
"step": 1040
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.970905678085406,
|
750 |
+
"grad_norm": 3.5526273250579834,
|
751 |
+
"learning_rate": 1.9011142061281336e-05,
|
752 |
+
"loss": 0.7846,
|
753 |
+
"step": 1050
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 1.9896762083528858,
|
757 |
+
"grad_norm": 3.1862409114837646,
|
758 |
+
"learning_rate": 1.8662952646239558e-05,
|
759 |
+
"loss": 0.7233,
|
760 |
+
"step": 1060
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 1.999061473486626,
|
764 |
+
"eval_accuracy": 0.8294389438943894,
|
765 |
+
"eval_loss": 0.6780887842178345,
|
766 |
+
"eval_runtime": 125.2435,
|
767 |
+
"eval_samples_per_second": 60.482,
|
768 |
+
"eval_steps_per_second": 1.892,
|
769 |
+
"step": 1065
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 2.008446738620366,
|
773 |
+
"grad_norm": 3.521763563156128,
|
774 |
+
"learning_rate": 1.8314763231197773e-05,
|
775 |
+
"loss": 0.6907,
|
776 |
+
"step": 1070
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 2.027217268887846,
|
780 |
+
"grad_norm": 3.0328750610351562,
|
781 |
+
"learning_rate": 1.7966573816155992e-05,
|
782 |
+
"loss": 0.6829,
|
783 |
+
"step": 1080
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 2.045987799155326,
|
787 |
+
"grad_norm": 4.274998188018799,
|
788 |
+
"learning_rate": 1.7618384401114207e-05,
|
789 |
+
"loss": 0.635,
|
790 |
+
"step": 1090
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 2.0647583294228062,
|
794 |
+
"grad_norm": 3.0744423866271973,
|
795 |
+
"learning_rate": 1.7270194986072426e-05,
|
796 |
+
"loss": 0.7163,
|
797 |
+
"step": 1100
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 2.0835288596902863,
|
801 |
+
"grad_norm": 3.0927815437316895,
|
802 |
+
"learning_rate": 1.692200557103064e-05,
|
803 |
+
"loss": 0.6817,
|
804 |
+
"step": 1110
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 2.1022993899577664,
|
808 |
+
"grad_norm": 2.5418238639831543,
|
809 |
+
"learning_rate": 1.6573816155988857e-05,
|
810 |
+
"loss": 0.6235,
|
811 |
+
"step": 1120
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 2.1210699202252465,
|
815 |
+
"grad_norm": 3.1327621936798096,
|
816 |
+
"learning_rate": 1.6225626740947075e-05,
|
817 |
+
"loss": 0.6351,
|
818 |
+
"step": 1130
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 2.139840450492726,
|
822 |
+
"grad_norm": 4.186623573303223,
|
823 |
+
"learning_rate": 1.587743732590529e-05,
|
824 |
+
"loss": 0.6383,
|
825 |
+
"step": 1140
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 2.1586109807602063,
|
829 |
+
"grad_norm": 3.007977247238159,
|
830 |
+
"learning_rate": 1.552924791086351e-05,
|
831 |
+
"loss": 0.6994,
|
832 |
+
"step": 1150
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 2.1773815110276864,
|
836 |
+
"grad_norm": 3.232109308242798,
|
837 |
+
"learning_rate": 1.518105849582173e-05,
|
838 |
+
"loss": 0.6615,
|
839 |
+
"step": 1160
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 2.1961520412951665,
|
843 |
+
"grad_norm": 2.8354580402374268,
|
844 |
+
"learning_rate": 1.4832869080779947e-05,
|
845 |
+
"loss": 0.6686,
|
846 |
+
"step": 1170
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 2.2149225715626466,
|
850 |
+
"grad_norm": 3.6194567680358887,
|
851 |
+
"learning_rate": 1.4484679665738164e-05,
|
852 |
+
"loss": 0.6649,
|
853 |
+
"step": 1180
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"epoch": 2.2336931018301267,
|
857 |
+
"grad_norm": 4.279024600982666,
|
858 |
+
"learning_rate": 1.413649025069638e-05,
|
859 |
+
"loss": 0.6529,
|
860 |
+
"step": 1190
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 2.252463632097607,
|
864 |
+
"grad_norm": 3.035931348800659,
|
865 |
+
"learning_rate": 1.3788300835654596e-05,
|
866 |
+
"loss": 0.6796,
|
867 |
+
"step": 1200
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 2.271234162365087,
|
871 |
+
"grad_norm": 3.2257440090179443,
|
872 |
+
"learning_rate": 1.3440111420612813e-05,
|
873 |
+
"loss": 0.6501,
|
874 |
+
"step": 1210
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 2.290004692632567,
|
878 |
+
"grad_norm": 3.176237106323242,
|
879 |
+
"learning_rate": 1.309192200557103e-05,
|
880 |
+
"loss": 0.7252,
|
881 |
+
"step": 1220
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 2.308775222900047,
|
885 |
+
"grad_norm": 3.575956344604492,
|
886 |
+
"learning_rate": 1.2743732590529247e-05,
|
887 |
+
"loss": 0.6798,
|
888 |
+
"step": 1230
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 2.327545753167527,
|
892 |
+
"grad_norm": 3.1033012866973877,
|
893 |
+
"learning_rate": 1.2395543175487466e-05,
|
894 |
+
"loss": 0.6291,
|
895 |
+
"step": 1240
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 2.346316283435007,
|
899 |
+
"grad_norm": 3.797513961791992,
|
900 |
+
"learning_rate": 1.2047353760445683e-05,
|
901 |
+
"loss": 0.6908,
|
902 |
+
"step": 1250
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 2.365086813702487,
|
906 |
+
"grad_norm": 3.399435043334961,
|
907 |
+
"learning_rate": 1.16991643454039e-05,
|
908 |
+
"loss": 0.5915,
|
909 |
+
"step": 1260
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 2.383857343969967,
|
913 |
+
"grad_norm": 2.9869837760925293,
|
914 |
+
"learning_rate": 1.1350974930362116e-05,
|
915 |
+
"loss": 0.6665,
|
916 |
+
"step": 1270
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 2.402627874237447,
|
920 |
+
"grad_norm": 3.171600580215454,
|
921 |
+
"learning_rate": 1.1002785515320335e-05,
|
922 |
+
"loss": 0.6202,
|
923 |
+
"step": 1280
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 2.4213984045049273,
|
927 |
+
"grad_norm": 2.0792176723480225,
|
928 |
+
"learning_rate": 1.0654596100278552e-05,
|
929 |
+
"loss": 0.5773,
|
930 |
+
"step": 1290
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 2.4401689347724074,
|
934 |
+
"grad_norm": 3.339883804321289,
|
935 |
+
"learning_rate": 1.0306406685236769e-05,
|
936 |
+
"loss": 0.6435,
|
937 |
+
"step": 1300
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 2.4589394650398875,
|
941 |
+
"grad_norm": 3.2008817195892334,
|
942 |
+
"learning_rate": 9.958217270194986e-06,
|
943 |
+
"loss": 0.6448,
|
944 |
+
"step": 1310
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 2.4777099953073676,
|
948 |
+
"grad_norm": 2.828279733657837,
|
949 |
+
"learning_rate": 9.610027855153205e-06,
|
950 |
+
"loss": 0.6121,
|
951 |
+
"step": 1320
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 2.4964805255748477,
|
955 |
+
"grad_norm": 2.920414924621582,
|
956 |
+
"learning_rate": 9.261838440111422e-06,
|
957 |
+
"loss": 0.6569,
|
958 |
+
"step": 1330
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 2.5152510558423273,
|
962 |
+
"grad_norm": 3.4083826541900635,
|
963 |
+
"learning_rate": 8.913649025069639e-06,
|
964 |
+
"loss": 0.6819,
|
965 |
+
"step": 1340
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 2.534021586109808,
|
969 |
+
"grad_norm": 2.8921279907226562,
|
970 |
+
"learning_rate": 8.565459610027856e-06,
|
971 |
+
"loss": 0.6257,
|
972 |
+
"step": 1350
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 2.5527921163772875,
|
976 |
+
"grad_norm": 3.33734130859375,
|
977 |
+
"learning_rate": 8.217270194986073e-06,
|
978 |
+
"loss": 0.6439,
|
979 |
+
"step": 1360
|
980 |
+
},
|
981 |
+
{
|
982 |
+
"epoch": 2.5715626466447676,
|
983 |
+
"grad_norm": 4.184520244598389,
|
984 |
+
"learning_rate": 7.869080779944291e-06,
|
985 |
+
"loss": 0.6742,
|
986 |
+
"step": 1370
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 2.5903331769122477,
|
990 |
+
"grad_norm": 3.5494306087493896,
|
991 |
+
"learning_rate": 7.5208913649025075e-06,
|
992 |
+
"loss": 0.6485,
|
993 |
+
"step": 1380
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 2.609103707179728,
|
997 |
+
"grad_norm": 2.791755437850952,
|
998 |
+
"learning_rate": 7.1727019498607245e-06,
|
999 |
+
"loss": 0.6061,
|
1000 |
+
"step": 1390
|
1001 |
+
},
|
1002 |
+
{
|
1003 |
+
"epoch": 2.627874237447208,
|
1004 |
+
"grad_norm": 3.616508960723877,
|
1005 |
+
"learning_rate": 6.8245125348189415e-06,
|
1006 |
+
"loss": 0.7124,
|
1007 |
+
"step": 1400
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 2.646644767714688,
|
1011 |
+
"grad_norm": 3.5052719116210938,
|
1012 |
+
"learning_rate": 6.4763231197771585e-06,
|
1013 |
+
"loss": 0.6545,
|
1014 |
+
"step": 1410
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 2.665415297982168,
|
1018 |
+
"grad_norm": 3.463571786880493,
|
1019 |
+
"learning_rate": 6.128133704735376e-06,
|
1020 |
+
"loss": 0.5905,
|
1021 |
+
"step": 1420
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 2.684185828249648,
|
1025 |
+
"grad_norm": 3.2912559509277344,
|
1026 |
+
"learning_rate": 5.779944289693594e-06,
|
1027 |
+
"loss": 0.5468,
|
1028 |
+
"step": 1430
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 2.7029563585171283,
|
1032 |
+
"grad_norm": 3.0410854816436768,
|
1033 |
+
"learning_rate": 5.43175487465181e-06,
|
1034 |
+
"loss": 0.6286,
|
1035 |
+
"step": 1440
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 2.721726888784608,
|
1039 |
+
"grad_norm": 3.565953016281128,
|
1040 |
+
"learning_rate": 5.083565459610028e-06,
|
1041 |
+
"loss": 0.6567,
|
1042 |
+
"step": 1450
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 2.740497419052088,
|
1046 |
+
"grad_norm": 3.0948688983917236,
|
1047 |
+
"learning_rate": 4.735376044568245e-06,
|
1048 |
+
"loss": 0.644,
|
1049 |
+
"step": 1460
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 2.759267949319568,
|
1053 |
+
"grad_norm": 3.734225034713745,
|
1054 |
+
"learning_rate": 4.387186629526462e-06,
|
1055 |
+
"loss": 0.65,
|
1056 |
+
"step": 1470
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 2.7780384795870483,
|
1060 |
+
"grad_norm": 3.245823860168457,
|
1061 |
+
"learning_rate": 4.03899721448468e-06,
|
1062 |
+
"loss": 0.613,
|
1063 |
+
"step": 1480
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 2.7968090098545284,
|
1067 |
+
"grad_norm": 2.6476266384124756,
|
1068 |
+
"learning_rate": 3.690807799442897e-06,
|
1069 |
+
"loss": 0.6562,
|
1070 |
+
"step": 1490
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 2.8155795401220085,
|
1074 |
+
"grad_norm": 3.1951568126678467,
|
1075 |
+
"learning_rate": 3.3426183844011147e-06,
|
1076 |
+
"loss": 0.5897,
|
1077 |
+
"step": 1500
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 2.8343500703894886,
|
1081 |
+
"grad_norm": 3.754561424255371,
|
1082 |
+
"learning_rate": 2.9944289693593313e-06,
|
1083 |
+
"loss": 0.5686,
|
1084 |
+
"step": 1510
|
1085 |
+
},
|
1086 |
+
{
|
1087 |
+
"epoch": 2.8531206006569687,
|
1088 |
+
"grad_norm": 2.6758432388305664,
|
1089 |
+
"learning_rate": 2.6462395543175487e-06,
|
1090 |
+
"loss": 0.6791,
|
1091 |
+
"step": 1520
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 2.871891130924449,
|
1095 |
+
"grad_norm": 2.6981005668640137,
|
1096 |
+
"learning_rate": 2.298050139275766e-06,
|
1097 |
+
"loss": 0.5544,
|
1098 |
+
"step": 1530
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 2.8906616611919285,
|
1102 |
+
"grad_norm": 3.503272294998169,
|
1103 |
+
"learning_rate": 1.9498607242339835e-06,
|
1104 |
+
"loss": 0.6921,
|
1105 |
+
"step": 1540
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 2.9094321914594086,
|
1109 |
+
"grad_norm": 3.2283263206481934,
|
1110 |
+
"learning_rate": 1.6016713091922007e-06,
|
1111 |
+
"loss": 0.6307,
|
1112 |
+
"step": 1550
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 2.9282027217268887,
|
1116 |
+
"grad_norm": 3.2601311206817627,
|
1117 |
+
"learning_rate": 1.253481894150418e-06,
|
1118 |
+
"loss": 0.653,
|
1119 |
+
"step": 1560
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 2.9469732519943688,
|
1123 |
+
"grad_norm": 3.5451338291168213,
|
1124 |
+
"learning_rate": 9.052924791086352e-07,
|
1125 |
+
"loss": 0.5953,
|
1126 |
+
"step": 1570
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 2.965743782261849,
|
1130 |
+
"grad_norm": 3.605889081954956,
|
1131 |
+
"learning_rate": 5.571030640668524e-07,
|
1132 |
+
"loss": 0.6338,
|
1133 |
+
"step": 1580
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 2.984514312529329,
|
1137 |
+
"grad_norm": 4.055668830871582,
|
1138 |
+
"learning_rate": 2.0891364902506967e-07,
|
1139 |
+
"loss": 0.6047,
|
1140 |
+
"step": 1590
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 2.995776630689817,
|
1144 |
+
"eval_accuracy": 0.834983498349835,
|
1145 |
+
"eval_loss": 0.6400949358940125,
|
1146 |
+
"eval_runtime": 126.916,
|
1147 |
+
"eval_samples_per_second": 59.685,
|
1148 |
+
"eval_steps_per_second": 1.867,
|
1149 |
+
"step": 1596
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 2.995776630689817,
|
1153 |
+
"step": 1596,
|
1154 |
+
"total_flos": 1.584209316447959e+19,
|
1155 |
+
"train_loss": 1.1699181137825911,
|
1156 |
+
"train_runtime": 8274.5103,
|
1157 |
+
"train_samples_per_second": 24.717,
|
1158 |
+
"train_steps_per_second": 0.193
|
1159 |
+
}
|
1160 |
+
],
|
1161 |
+
"logging_steps": 10,
|
1162 |
+
"max_steps": 1596,
|
1163 |
+
"num_input_tokens_seen": 0,
|
1164 |
+
"num_train_epochs": 3,
|
1165 |
+
"save_steps": 500,
|
1166 |
+
"stateful_callbacks": {
|
1167 |
+
"TrainerControl": {
|
1168 |
+
"args": {
|
1169 |
+
"should_epoch_stop": false,
|
1170 |
+
"should_evaluate": false,
|
1171 |
+
"should_log": false,
|
1172 |
+
"should_save": true,
|
1173 |
+
"should_training_stop": true
|
1174 |
+
},
|
1175 |
+
"attributes": {}
|
1176 |
+
}
|
1177 |
+
},
|
1178 |
+
"total_flos": 1.584209316447959e+19,
|
1179 |
+
"train_batch_size": 32,
|
1180 |
+
"trial_name": null,
|
1181 |
+
"trial_params": null
|
1182 |
+
}
|