ALM-AHME commited on
Commit
46b8b53
1 Parent(s): ca5c7c7

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "eval_accuracy": 0.9952874646559849,
4
+ "eval_loss": 0.028855981305241585,
5
+ "eval_runtime": 93.4984,
6
+ "eval_samples_per_second": 22.696,
7
+ "eval_steps_per_second": 2.845,
8
+ "total_flos": 1.7585593436847735e+19,
9
+ "train_loss": 0.12460444932776456,
10
+ "train_runtime": 13102.8342,
11
+ "train_samples_per_second": 5.828,
12
+ "train_steps_per_second": 0.182
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "eval_accuracy": 0.9952874646559849,
4
+ "eval_loss": 0.028855981305241585,
5
+ "eval_runtime": 93.4984,
6
+ "eval_samples_per_second": 22.696,
7
+ "eval_steps_per_second": 2.845
8
+ }
runs/Jul24_20-49-09_137fdea6e139/events.out.tfevents.1690245198.137fdea6e139.963.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3889f402fda06ee6c8f9f43cf43b5d5d813a6fb51243e79f50d01c1d87dc912
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "total_flos": 1.7585593436847735e+19,
4
+ "train_loss": 0.12460444932776456,
5
+ "train_runtime": 13102.8342,
6
+ "train_samples_per_second": 5.828,
7
+ "train_steps_per_second": 0.182
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2995 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9952874646559849,
3
+ "best_model_checkpoint": "swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-BreastCancer-BreakHis-AH-Shuffled/checkpoint-2388",
4
+ "epoch": 12.0,
5
+ "global_step": 2388,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 2.0938023450586265e-07,
13
+ "loss": 0.6868,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.05,
18
+ "learning_rate": 4.187604690117253e-07,
19
+ "loss": 0.7016,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.08,
24
+ "learning_rate": 6.28140703517588e-07,
25
+ "loss": 0.6991,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.1,
30
+ "learning_rate": 8.375209380234506e-07,
31
+ "loss": 0.7097,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.13,
36
+ "learning_rate": 1.0469011725293133e-06,
37
+ "loss": 0.655,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.15,
42
+ "learning_rate": 1.256281407035176e-06,
43
+ "loss": 0.656,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.18,
48
+ "learning_rate": 1.4656616415410386e-06,
49
+ "loss": 0.6613,
50
+ "step": 35
51
+ },
52
+ {
53
+ "epoch": 0.2,
54
+ "learning_rate": 1.6750418760469012e-06,
55
+ "loss": 0.6572,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.23,
60
+ "learning_rate": 1.8844221105527638e-06,
61
+ "loss": 0.6139,
62
+ "step": 45
63
+ },
64
+ {
65
+ "epoch": 0.25,
66
+ "learning_rate": 2.0938023450586266e-06,
67
+ "loss": 0.6366,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.28,
72
+ "learning_rate": 2.3031825795644893e-06,
73
+ "loss": 0.5471,
74
+ "step": 55
75
+ },
76
+ {
77
+ "epoch": 0.3,
78
+ "learning_rate": 2.512562814070352e-06,
79
+ "loss": 0.5398,
80
+ "step": 60
81
+ },
82
+ {
83
+ "epoch": 0.33,
84
+ "learning_rate": 2.7219430485762145e-06,
85
+ "loss": 0.5394,
86
+ "step": 65
87
+ },
88
+ {
89
+ "epoch": 0.35,
90
+ "learning_rate": 2.931323283082077e-06,
91
+ "loss": 0.4949,
92
+ "step": 70
93
+ },
94
+ {
95
+ "epoch": 0.38,
96
+ "learning_rate": 3.1407035175879398e-06,
97
+ "loss": 0.4964,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 0.4,
102
+ "learning_rate": 3.3500837520938024e-06,
103
+ "loss": 0.4721,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 0.43,
108
+ "learning_rate": 3.559463986599665e-06,
109
+ "loss": 0.4217,
110
+ "step": 85
111
+ },
112
+ {
113
+ "epoch": 0.45,
114
+ "learning_rate": 3.7688442211055276e-06,
115
+ "loss": 0.3866,
116
+ "step": 90
117
+ },
118
+ {
119
+ "epoch": 0.48,
120
+ "learning_rate": 3.978224455611391e-06,
121
+ "loss": 0.3491,
122
+ "step": 95
123
+ },
124
+ {
125
+ "epoch": 0.5,
126
+ "learning_rate": 4.187604690117253e-06,
127
+ "loss": 0.3858,
128
+ "step": 100
129
+ },
130
+ {
131
+ "epoch": 0.53,
132
+ "learning_rate": 4.396984924623116e-06,
133
+ "loss": 0.3758,
134
+ "step": 105
135
+ },
136
+ {
137
+ "epoch": 0.55,
138
+ "learning_rate": 4.6063651591289785e-06,
139
+ "loss": 0.3762,
140
+ "step": 110
141
+ },
142
+ {
143
+ "epoch": 0.58,
144
+ "learning_rate": 4.815745393634841e-06,
145
+ "loss": 0.305,
146
+ "step": 115
147
+ },
148
+ {
149
+ "epoch": 0.6,
150
+ "learning_rate": 5.025125628140704e-06,
151
+ "loss": 0.3594,
152
+ "step": 120
153
+ },
154
+ {
155
+ "epoch": 0.63,
156
+ "learning_rate": 5.234505862646566e-06,
157
+ "loss": 0.3442,
158
+ "step": 125
159
+ },
160
+ {
161
+ "epoch": 0.65,
162
+ "learning_rate": 5.443886097152429e-06,
163
+ "loss": 0.3051,
164
+ "step": 130
165
+ },
166
+ {
167
+ "epoch": 0.68,
168
+ "learning_rate": 5.653266331658292e-06,
169
+ "loss": 0.2803,
170
+ "step": 135
171
+ },
172
+ {
173
+ "epoch": 0.7,
174
+ "learning_rate": 5.862646566164154e-06,
175
+ "loss": 0.2271,
176
+ "step": 140
177
+ },
178
+ {
179
+ "epoch": 0.73,
180
+ "learning_rate": 6.072026800670017e-06,
181
+ "loss": 0.2756,
182
+ "step": 145
183
+ },
184
+ {
185
+ "epoch": 0.75,
186
+ "learning_rate": 6.2814070351758795e-06,
187
+ "loss": 0.1835,
188
+ "step": 150
189
+ },
190
+ {
191
+ "epoch": 0.78,
192
+ "learning_rate": 6.490787269681742e-06,
193
+ "loss": 0.2466,
194
+ "step": 155
195
+ },
196
+ {
197
+ "epoch": 0.8,
198
+ "learning_rate": 6.700167504187605e-06,
199
+ "loss": 0.1989,
200
+ "step": 160
201
+ },
202
+ {
203
+ "epoch": 0.83,
204
+ "learning_rate": 6.909547738693467e-06,
205
+ "loss": 0.2915,
206
+ "step": 165
207
+ },
208
+ {
209
+ "epoch": 0.85,
210
+ "learning_rate": 7.11892797319933e-06,
211
+ "loss": 0.2524,
212
+ "step": 170
213
+ },
214
+ {
215
+ "epoch": 0.88,
216
+ "learning_rate": 7.328308207705193e-06,
217
+ "loss": 0.2063,
218
+ "step": 175
219
+ },
220
+ {
221
+ "epoch": 0.9,
222
+ "learning_rate": 7.537688442211055e-06,
223
+ "loss": 0.2581,
224
+ "step": 180
225
+ },
226
+ {
227
+ "epoch": 0.93,
228
+ "learning_rate": 7.747068676716917e-06,
229
+ "loss": 0.1409,
230
+ "step": 185
231
+ },
232
+ {
233
+ "epoch": 0.95,
234
+ "learning_rate": 7.956448911222781e-06,
235
+ "loss": 0.2321,
236
+ "step": 190
237
+ },
238
+ {
239
+ "epoch": 0.98,
240
+ "learning_rate": 8.165829145728644e-06,
241
+ "loss": 0.1894,
242
+ "step": 195
243
+ },
244
+ {
245
+ "epoch": 1.0,
246
+ "eval_accuracy": 0.9307257304429783,
247
+ "eval_loss": 0.17389486730098724,
248
+ "eval_runtime": 562.1588,
249
+ "eval_samples_per_second": 3.775,
250
+ "eval_steps_per_second": 0.473,
251
+ "step": 199
252
+ },
253
+ {
254
+ "epoch": 1.01,
255
+ "learning_rate": 8.375209380234507e-06,
256
+ "loss": 0.1814,
257
+ "step": 200
258
+ },
259
+ {
260
+ "epoch": 1.03,
261
+ "learning_rate": 8.58458961474037e-06,
262
+ "loss": 0.2015,
263
+ "step": 205
264
+ },
265
+ {
266
+ "epoch": 1.06,
267
+ "learning_rate": 8.793969849246232e-06,
268
+ "loss": 0.17,
269
+ "step": 210
270
+ },
271
+ {
272
+ "epoch": 1.08,
273
+ "learning_rate": 9.003350083752094e-06,
274
+ "loss": 0.0833,
275
+ "step": 215
276
+ },
277
+ {
278
+ "epoch": 1.11,
279
+ "learning_rate": 9.212730318257957e-06,
280
+ "loss": 0.2563,
281
+ "step": 220
282
+ },
283
+ {
284
+ "epoch": 1.13,
285
+ "learning_rate": 9.42211055276382e-06,
286
+ "loss": 0.1802,
287
+ "step": 225
288
+ },
289
+ {
290
+ "epoch": 1.16,
291
+ "learning_rate": 9.631490787269682e-06,
292
+ "loss": 0.3052,
293
+ "step": 230
294
+ },
295
+ {
296
+ "epoch": 1.18,
297
+ "learning_rate": 9.840871021775545e-06,
298
+ "loss": 0.2063,
299
+ "step": 235
300
+ },
301
+ {
302
+ "epoch": 1.21,
303
+ "learning_rate": 1.0050251256281408e-05,
304
+ "loss": 0.1916,
305
+ "step": 240
306
+ },
307
+ {
308
+ "epoch": 1.23,
309
+ "learning_rate": 1.025963149078727e-05,
310
+ "loss": 0.1552,
311
+ "step": 245
312
+ },
313
+ {
314
+ "epoch": 1.26,
315
+ "learning_rate": 1.0469011725293133e-05,
316
+ "loss": 0.1233,
317
+ "step": 250
318
+ },
319
+ {
320
+ "epoch": 1.28,
321
+ "learning_rate": 1.0678391959798995e-05,
322
+ "loss": 0.1224,
323
+ "step": 255
324
+ },
325
+ {
326
+ "epoch": 1.31,
327
+ "learning_rate": 1.0887772194304858e-05,
328
+ "loss": 0.1838,
329
+ "step": 260
330
+ },
331
+ {
332
+ "epoch": 1.33,
333
+ "learning_rate": 1.109715242881072e-05,
334
+ "loss": 0.1808,
335
+ "step": 265
336
+ },
337
+ {
338
+ "epoch": 1.36,
339
+ "learning_rate": 1.1306532663316583e-05,
340
+ "loss": 0.1886,
341
+ "step": 270
342
+ },
343
+ {
344
+ "epoch": 1.38,
345
+ "learning_rate": 1.1515912897822446e-05,
346
+ "loss": 0.181,
347
+ "step": 275
348
+ },
349
+ {
350
+ "epoch": 1.41,
351
+ "learning_rate": 1.1725293132328309e-05,
352
+ "loss": 0.2524,
353
+ "step": 280
354
+ },
355
+ {
356
+ "epoch": 1.43,
357
+ "learning_rate": 1.1934673366834171e-05,
358
+ "loss": 0.1331,
359
+ "step": 285
360
+ },
361
+ {
362
+ "epoch": 1.46,
363
+ "learning_rate": 1.2144053601340034e-05,
364
+ "loss": 0.2387,
365
+ "step": 290
366
+ },
367
+ {
368
+ "epoch": 1.48,
369
+ "learning_rate": 1.2353433835845896e-05,
370
+ "loss": 0.1665,
371
+ "step": 295
372
+ },
373
+ {
374
+ "epoch": 1.51,
375
+ "learning_rate": 1.2562814070351759e-05,
376
+ "loss": 0.1396,
377
+ "step": 300
378
+ },
379
+ {
380
+ "epoch": 1.53,
381
+ "learning_rate": 1.2772194304857622e-05,
382
+ "loss": 0.2319,
383
+ "step": 305
384
+ },
385
+ {
386
+ "epoch": 1.56,
387
+ "learning_rate": 1.2981574539363484e-05,
388
+ "loss": 0.1023,
389
+ "step": 310
390
+ },
391
+ {
392
+ "epoch": 1.58,
393
+ "learning_rate": 1.3190954773869347e-05,
394
+ "loss": 0.1997,
395
+ "step": 315
396
+ },
397
+ {
398
+ "epoch": 1.61,
399
+ "learning_rate": 1.340033500837521e-05,
400
+ "loss": 0.1583,
401
+ "step": 320
402
+ },
403
+ {
404
+ "epoch": 1.63,
405
+ "learning_rate": 1.3609715242881072e-05,
406
+ "loss": 0.2303,
407
+ "step": 325
408
+ },
409
+ {
410
+ "epoch": 1.66,
411
+ "learning_rate": 1.3819095477386935e-05,
412
+ "loss": 0.1213,
413
+ "step": 330
414
+ },
415
+ {
416
+ "epoch": 1.68,
417
+ "learning_rate": 1.4028475711892797e-05,
418
+ "loss": 0.1326,
419
+ "step": 335
420
+ },
421
+ {
422
+ "epoch": 1.71,
423
+ "learning_rate": 1.423785594639866e-05,
424
+ "loss": 0.1674,
425
+ "step": 340
426
+ },
427
+ {
428
+ "epoch": 1.73,
429
+ "learning_rate": 1.4447236180904523e-05,
430
+ "loss": 0.153,
431
+ "step": 345
432
+ },
433
+ {
434
+ "epoch": 1.76,
435
+ "learning_rate": 1.4656616415410385e-05,
436
+ "loss": 0.1175,
437
+ "step": 350
438
+ },
439
+ {
440
+ "epoch": 1.78,
441
+ "learning_rate": 1.4865996649916248e-05,
442
+ "loss": 0.1855,
443
+ "step": 355
444
+ },
445
+ {
446
+ "epoch": 1.81,
447
+ "learning_rate": 1.507537688442211e-05,
448
+ "loss": 0.1887,
449
+ "step": 360
450
+ },
451
+ {
452
+ "epoch": 1.83,
453
+ "learning_rate": 1.528475711892797e-05,
454
+ "loss": 0.1943,
455
+ "step": 365
456
+ },
457
+ {
458
+ "epoch": 1.86,
459
+ "learning_rate": 1.5494137353433834e-05,
460
+ "loss": 0.1433,
461
+ "step": 370
462
+ },
463
+ {
464
+ "epoch": 1.88,
465
+ "learning_rate": 1.57035175879397e-05,
466
+ "loss": 0.2361,
467
+ "step": 375
468
+ },
469
+ {
470
+ "epoch": 1.91,
471
+ "learning_rate": 1.5912897822445563e-05,
472
+ "loss": 0.0809,
473
+ "step": 380
474
+ },
475
+ {
476
+ "epoch": 1.93,
477
+ "learning_rate": 1.6122278056951425e-05,
478
+ "loss": 0.1525,
479
+ "step": 385
480
+ },
481
+ {
482
+ "epoch": 1.96,
483
+ "learning_rate": 1.6331658291457288e-05,
484
+ "loss": 0.225,
485
+ "step": 390
486
+ },
487
+ {
488
+ "epoch": 1.98,
489
+ "learning_rate": 1.654103852596315e-05,
490
+ "loss": 0.3951,
491
+ "step": 395
492
+ },
493
+ {
494
+ "epoch": 2.0,
495
+ "eval_accuracy": 0.9613572101790764,
496
+ "eval_loss": 0.10663057863712311,
497
+ "eval_runtime": 97.7321,
498
+ "eval_samples_per_second": 21.712,
499
+ "eval_steps_per_second": 2.722,
500
+ "step": 398
501
+ },
502
+ {
503
+ "epoch": 2.01,
504
+ "learning_rate": 1.6750418760469013e-05,
505
+ "loss": 0.2062,
506
+ "step": 400
507
+ },
508
+ {
509
+ "epoch": 2.04,
510
+ "learning_rate": 1.6959798994974876e-05,
511
+ "loss": 0.1608,
512
+ "step": 405
513
+ },
514
+ {
515
+ "epoch": 2.06,
516
+ "learning_rate": 1.716917922948074e-05,
517
+ "loss": 0.1272,
518
+ "step": 410
519
+ },
520
+ {
521
+ "epoch": 2.09,
522
+ "learning_rate": 1.73785594639866e-05,
523
+ "loss": 0.101,
524
+ "step": 415
525
+ },
526
+ {
527
+ "epoch": 2.11,
528
+ "learning_rate": 1.7587939698492464e-05,
529
+ "loss": 0.1151,
530
+ "step": 420
531
+ },
532
+ {
533
+ "epoch": 2.14,
534
+ "learning_rate": 1.7797319932998326e-05,
535
+ "loss": 0.1468,
536
+ "step": 425
537
+ },
538
+ {
539
+ "epoch": 2.16,
540
+ "learning_rate": 1.800670016750419e-05,
541
+ "loss": 0.098,
542
+ "step": 430
543
+ },
544
+ {
545
+ "epoch": 2.19,
546
+ "learning_rate": 1.821608040201005e-05,
547
+ "loss": 0.1732,
548
+ "step": 435
549
+ },
550
+ {
551
+ "epoch": 2.21,
552
+ "learning_rate": 1.8425460636515914e-05,
553
+ "loss": 0.2195,
554
+ "step": 440
555
+ },
556
+ {
557
+ "epoch": 2.24,
558
+ "learning_rate": 1.8634840871021777e-05,
559
+ "loss": 0.1476,
560
+ "step": 445
561
+ },
562
+ {
563
+ "epoch": 2.26,
564
+ "learning_rate": 1.884422110552764e-05,
565
+ "loss": 0.1556,
566
+ "step": 450
567
+ },
568
+ {
569
+ "epoch": 2.29,
570
+ "learning_rate": 1.9053601340033502e-05,
571
+ "loss": 0.1351,
572
+ "step": 455
573
+ },
574
+ {
575
+ "epoch": 2.31,
576
+ "learning_rate": 1.9262981574539365e-05,
577
+ "loss": 0.1552,
578
+ "step": 460
579
+ },
580
+ {
581
+ "epoch": 2.34,
582
+ "learning_rate": 1.9472361809045227e-05,
583
+ "loss": 0.1468,
584
+ "step": 465
585
+ },
586
+ {
587
+ "epoch": 2.36,
588
+ "learning_rate": 1.968174204355109e-05,
589
+ "loss": 0.1553,
590
+ "step": 470
591
+ },
592
+ {
593
+ "epoch": 2.39,
594
+ "learning_rate": 1.9891122278056953e-05,
595
+ "loss": 0.1312,
596
+ "step": 475
597
+ },
598
+ {
599
+ "epoch": 2.41,
600
+ "learning_rate": 2.0100502512562815e-05,
601
+ "loss": 0.185,
602
+ "step": 480
603
+ },
604
+ {
605
+ "epoch": 2.44,
606
+ "learning_rate": 2.0309882747068678e-05,
607
+ "loss": 0.0857,
608
+ "step": 485
609
+ },
610
+ {
611
+ "epoch": 2.46,
612
+ "learning_rate": 2.051926298157454e-05,
613
+ "loss": 0.1203,
614
+ "step": 490
615
+ },
616
+ {
617
+ "epoch": 2.49,
618
+ "learning_rate": 2.0728643216080403e-05,
619
+ "loss": 0.1652,
620
+ "step": 495
621
+ },
622
+ {
623
+ "epoch": 2.51,
624
+ "learning_rate": 2.0938023450586266e-05,
625
+ "loss": 0.1286,
626
+ "step": 500
627
+ },
628
+ {
629
+ "epoch": 2.54,
630
+ "learning_rate": 2.1147403685092128e-05,
631
+ "loss": 0.1724,
632
+ "step": 505
633
+ },
634
+ {
635
+ "epoch": 2.56,
636
+ "learning_rate": 2.135678391959799e-05,
637
+ "loss": 0.1283,
638
+ "step": 510
639
+ },
640
+ {
641
+ "epoch": 2.59,
642
+ "learning_rate": 2.1566164154103854e-05,
643
+ "loss": 0.1536,
644
+ "step": 515
645
+ },
646
+ {
647
+ "epoch": 2.61,
648
+ "learning_rate": 2.1775544388609716e-05,
649
+ "loss": 0.2908,
650
+ "step": 520
651
+ },
652
+ {
653
+ "epoch": 2.64,
654
+ "learning_rate": 2.198492462311558e-05,
655
+ "loss": 0.1898,
656
+ "step": 525
657
+ },
658
+ {
659
+ "epoch": 2.66,
660
+ "learning_rate": 2.219430485762144e-05,
661
+ "loss": 0.193,
662
+ "step": 530
663
+ },
664
+ {
665
+ "epoch": 2.69,
666
+ "learning_rate": 2.2403685092127304e-05,
667
+ "loss": 0.0988,
668
+ "step": 535
669
+ },
670
+ {
671
+ "epoch": 2.71,
672
+ "learning_rate": 2.2613065326633167e-05,
673
+ "loss": 0.1793,
674
+ "step": 540
675
+ },
676
+ {
677
+ "epoch": 2.74,
678
+ "learning_rate": 2.282244556113903e-05,
679
+ "loss": 0.1714,
680
+ "step": 545
681
+ },
682
+ {
683
+ "epoch": 2.76,
684
+ "learning_rate": 2.3031825795644892e-05,
685
+ "loss": 0.1904,
686
+ "step": 550
687
+ },
688
+ {
689
+ "epoch": 2.79,
690
+ "learning_rate": 2.3241206030150754e-05,
691
+ "loss": 0.235,
692
+ "step": 555
693
+ },
694
+ {
695
+ "epoch": 2.81,
696
+ "learning_rate": 2.3450586264656617e-05,
697
+ "loss": 0.1799,
698
+ "step": 560
699
+ },
700
+ {
701
+ "epoch": 2.84,
702
+ "learning_rate": 2.365996649916248e-05,
703
+ "loss": 0.1278,
704
+ "step": 565
705
+ },
706
+ {
707
+ "epoch": 2.86,
708
+ "learning_rate": 2.3869346733668342e-05,
709
+ "loss": 0.23,
710
+ "step": 570
711
+ },
712
+ {
713
+ "epoch": 2.89,
714
+ "learning_rate": 2.4078726968174205e-05,
715
+ "loss": 0.1248,
716
+ "step": 575
717
+ },
718
+ {
719
+ "epoch": 2.91,
720
+ "learning_rate": 2.4288107202680068e-05,
721
+ "loss": 0.194,
722
+ "step": 580
723
+ },
724
+ {
725
+ "epoch": 2.94,
726
+ "learning_rate": 2.449748743718593e-05,
727
+ "loss": 0.0961,
728
+ "step": 585
729
+ },
730
+ {
731
+ "epoch": 2.96,
732
+ "learning_rate": 2.4706867671691793e-05,
733
+ "loss": 0.1496,
734
+ "step": 590
735
+ },
736
+ {
737
+ "epoch": 2.99,
738
+ "learning_rate": 2.4916247906197655e-05,
739
+ "loss": 0.1021,
740
+ "step": 595
741
+ },
742
+ {
743
+ "epoch": 3.0,
744
+ "eval_accuracy": 0.9707822808671065,
745
+ "eval_loss": 0.07405650615692139,
746
+ "eval_runtime": 97.6659,
747
+ "eval_samples_per_second": 21.727,
748
+ "eval_steps_per_second": 2.724,
749
+ "step": 597
750
+ },
751
+ {
752
+ "epoch": 3.02,
753
+ "learning_rate": 2.5125628140703518e-05,
754
+ "loss": 0.1822,
755
+ "step": 600
756
+ },
757
+ {
758
+ "epoch": 3.04,
759
+ "learning_rate": 2.533500837520938e-05,
760
+ "loss": 0.1652,
761
+ "step": 605
762
+ },
763
+ {
764
+ "epoch": 3.07,
765
+ "learning_rate": 2.5544388609715243e-05,
766
+ "loss": 0.1034,
767
+ "step": 610
768
+ },
769
+ {
770
+ "epoch": 3.09,
771
+ "learning_rate": 2.5753768844221106e-05,
772
+ "loss": 0.0599,
773
+ "step": 615
774
+ },
775
+ {
776
+ "epoch": 3.12,
777
+ "learning_rate": 2.596314907872697e-05,
778
+ "loss": 0.1283,
779
+ "step": 620
780
+ },
781
+ {
782
+ "epoch": 3.14,
783
+ "learning_rate": 2.617252931323283e-05,
784
+ "loss": 0.1854,
785
+ "step": 625
786
+ },
787
+ {
788
+ "epoch": 3.17,
789
+ "learning_rate": 2.6381909547738694e-05,
790
+ "loss": 0.1774,
791
+ "step": 630
792
+ },
793
+ {
794
+ "epoch": 3.19,
795
+ "learning_rate": 2.6591289782244556e-05,
796
+ "loss": 0.0776,
797
+ "step": 635
798
+ },
799
+ {
800
+ "epoch": 3.22,
801
+ "learning_rate": 2.680067001675042e-05,
802
+ "loss": 0.0836,
803
+ "step": 640
804
+ },
805
+ {
806
+ "epoch": 3.24,
807
+ "learning_rate": 2.7010050251256282e-05,
808
+ "loss": 0.1025,
809
+ "step": 645
810
+ },
811
+ {
812
+ "epoch": 3.27,
813
+ "learning_rate": 2.7219430485762144e-05,
814
+ "loss": 0.2551,
815
+ "step": 650
816
+ },
817
+ {
818
+ "epoch": 3.29,
819
+ "learning_rate": 2.7428810720268007e-05,
820
+ "loss": 0.1532,
821
+ "step": 655
822
+ },
823
+ {
824
+ "epoch": 3.32,
825
+ "learning_rate": 2.763819095477387e-05,
826
+ "loss": 0.1067,
827
+ "step": 660
828
+ },
829
+ {
830
+ "epoch": 3.34,
831
+ "learning_rate": 2.7847571189279732e-05,
832
+ "loss": 0.0745,
833
+ "step": 665
834
+ },
835
+ {
836
+ "epoch": 3.37,
837
+ "learning_rate": 2.8056951423785595e-05,
838
+ "loss": 0.199,
839
+ "step": 670
840
+ },
841
+ {
842
+ "epoch": 3.39,
843
+ "learning_rate": 2.8266331658291457e-05,
844
+ "loss": 0.0468,
845
+ "step": 675
846
+ },
847
+ {
848
+ "epoch": 3.42,
849
+ "learning_rate": 2.847571189279732e-05,
850
+ "loss": 0.2317,
851
+ "step": 680
852
+ },
853
+ {
854
+ "epoch": 3.44,
855
+ "learning_rate": 2.8685092127303183e-05,
856
+ "loss": 0.0952,
857
+ "step": 685
858
+ },
859
+ {
860
+ "epoch": 3.47,
861
+ "learning_rate": 2.8894472361809045e-05,
862
+ "loss": 0.1675,
863
+ "step": 690
864
+ },
865
+ {
866
+ "epoch": 3.49,
867
+ "learning_rate": 2.9103852596314908e-05,
868
+ "loss": 0.1743,
869
+ "step": 695
870
+ },
871
+ {
872
+ "epoch": 3.52,
873
+ "learning_rate": 2.931323283082077e-05,
874
+ "loss": 0.2378,
875
+ "step": 700
876
+ },
877
+ {
878
+ "epoch": 3.54,
879
+ "learning_rate": 2.9522613065326633e-05,
880
+ "loss": 0.1355,
881
+ "step": 705
882
+ },
883
+ {
884
+ "epoch": 3.57,
885
+ "learning_rate": 2.9731993299832496e-05,
886
+ "loss": 0.1655,
887
+ "step": 710
888
+ },
889
+ {
890
+ "epoch": 3.59,
891
+ "learning_rate": 2.994137353433836e-05,
892
+ "loss": 0.1025,
893
+ "step": 715
894
+ },
895
+ {
896
+ "epoch": 3.62,
897
+ "learning_rate": 3.015075376884422e-05,
898
+ "loss": 0.168,
899
+ "step": 720
900
+ },
901
+ {
902
+ "epoch": 3.64,
903
+ "learning_rate": 3.0360134003350084e-05,
904
+ "loss": 0.0739,
905
+ "step": 725
906
+ },
907
+ {
908
+ "epoch": 3.67,
909
+ "learning_rate": 3.056951423785594e-05,
910
+ "loss": 0.1746,
911
+ "step": 730
912
+ },
913
+ {
914
+ "epoch": 3.69,
915
+ "learning_rate": 3.077889447236181e-05,
916
+ "loss": 0.1788,
917
+ "step": 735
918
+ },
919
+ {
920
+ "epoch": 3.72,
921
+ "learning_rate": 3.098827470686767e-05,
922
+ "loss": 0.1501,
923
+ "step": 740
924
+ },
925
+ {
926
+ "epoch": 3.74,
927
+ "learning_rate": 3.1197654941373534e-05,
928
+ "loss": 0.1155,
929
+ "step": 745
930
+ },
931
+ {
932
+ "epoch": 3.77,
933
+ "learning_rate": 3.14070351758794e-05,
934
+ "loss": 0.1366,
935
+ "step": 750
936
+ },
937
+ {
938
+ "epoch": 3.79,
939
+ "learning_rate": 3.1616415410385266e-05,
940
+ "loss": 0.1337,
941
+ "step": 755
942
+ },
943
+ {
944
+ "epoch": 3.82,
945
+ "learning_rate": 3.1825795644891125e-05,
946
+ "loss": 0.2079,
947
+ "step": 760
948
+ },
949
+ {
950
+ "epoch": 3.84,
951
+ "learning_rate": 3.203517587939699e-05,
952
+ "loss": 0.1122,
953
+ "step": 765
954
+ },
955
+ {
956
+ "epoch": 3.87,
957
+ "learning_rate": 3.224455611390285e-05,
958
+ "loss": 0.2192,
959
+ "step": 770
960
+ },
961
+ {
962
+ "epoch": 3.89,
963
+ "learning_rate": 3.245393634840872e-05,
964
+ "loss": 0.1386,
965
+ "step": 775
966
+ },
967
+ {
968
+ "epoch": 3.92,
969
+ "learning_rate": 3.2663316582914576e-05,
970
+ "loss": 0.1251,
971
+ "step": 780
972
+ },
973
+ {
974
+ "epoch": 3.94,
975
+ "learning_rate": 3.287269681742044e-05,
976
+ "loss": 0.1257,
977
+ "step": 785
978
+ },
979
+ {
980
+ "epoch": 3.97,
981
+ "learning_rate": 3.30820770519263e-05,
982
+ "loss": 0.0833,
983
+ "step": 790
984
+ },
985
+ {
986
+ "epoch": 3.99,
987
+ "learning_rate": 3.329145728643217e-05,
988
+ "loss": 0.0784,
989
+ "step": 795
990
+ },
991
+ {
992
+ "epoch": 4.0,
993
+ "eval_accuracy": 0.9759660697455231,
994
+ "eval_loss": 0.08145558089017868,
995
+ "eval_runtime": 97.7513,
996
+ "eval_samples_per_second": 21.708,
997
+ "eval_steps_per_second": 2.721,
998
+ "step": 796
999
+ },
1000
+ {
1001
+ "epoch": 4.02,
1002
+ "learning_rate": 3.3500837520938026e-05,
1003
+ "loss": 0.0773,
1004
+ "step": 800
1005
+ },
1006
+ {
1007
+ "epoch": 4.05,
1008
+ "learning_rate": 3.371021775544389e-05,
1009
+ "loss": 0.0668,
1010
+ "step": 805
1011
+ },
1012
+ {
1013
+ "epoch": 4.07,
1014
+ "learning_rate": 3.391959798994975e-05,
1015
+ "loss": 0.1677,
1016
+ "step": 810
1017
+ },
1018
+ {
1019
+ "epoch": 4.1,
1020
+ "learning_rate": 3.412897822445562e-05,
1021
+ "loss": 0.171,
1022
+ "step": 815
1023
+ },
1024
+ {
1025
+ "epoch": 4.12,
1026
+ "learning_rate": 3.433835845896148e-05,
1027
+ "loss": 0.1312,
1028
+ "step": 820
1029
+ },
1030
+ {
1031
+ "epoch": 4.15,
1032
+ "learning_rate": 3.454773869346734e-05,
1033
+ "loss": 0.0441,
1034
+ "step": 825
1035
+ },
1036
+ {
1037
+ "epoch": 4.17,
1038
+ "learning_rate": 3.47571189279732e-05,
1039
+ "loss": 0.0402,
1040
+ "step": 830
1041
+ },
1042
+ {
1043
+ "epoch": 4.2,
1044
+ "learning_rate": 3.496649916247907e-05,
1045
+ "loss": 0.126,
1046
+ "step": 835
1047
+ },
1048
+ {
1049
+ "epoch": 4.22,
1050
+ "learning_rate": 3.517587939698493e-05,
1051
+ "loss": 0.1999,
1052
+ "step": 840
1053
+ },
1054
+ {
1055
+ "epoch": 4.25,
1056
+ "learning_rate": 3.538525963149079e-05,
1057
+ "loss": 0.0952,
1058
+ "step": 845
1059
+ },
1060
+ {
1061
+ "epoch": 4.27,
1062
+ "learning_rate": 3.559463986599665e-05,
1063
+ "loss": 0.0877,
1064
+ "step": 850
1065
+ },
1066
+ {
1067
+ "epoch": 4.3,
1068
+ "learning_rate": 3.580402010050252e-05,
1069
+ "loss": 0.2608,
1070
+ "step": 855
1071
+ },
1072
+ {
1073
+ "epoch": 4.32,
1074
+ "learning_rate": 3.601340033500838e-05,
1075
+ "loss": 0.1237,
1076
+ "step": 860
1077
+ },
1078
+ {
1079
+ "epoch": 4.35,
1080
+ "learning_rate": 3.6222780569514244e-05,
1081
+ "loss": 0.0504,
1082
+ "step": 865
1083
+ },
1084
+ {
1085
+ "epoch": 4.37,
1086
+ "learning_rate": 3.64321608040201e-05,
1087
+ "loss": 0.0842,
1088
+ "step": 870
1089
+ },
1090
+ {
1091
+ "epoch": 4.4,
1092
+ "learning_rate": 3.664154103852597e-05,
1093
+ "loss": 0.1123,
1094
+ "step": 875
1095
+ },
1096
+ {
1097
+ "epoch": 4.42,
1098
+ "learning_rate": 3.685092127303183e-05,
1099
+ "loss": 0.1164,
1100
+ "step": 880
1101
+ },
1102
+ {
1103
+ "epoch": 4.45,
1104
+ "learning_rate": 3.7060301507537694e-05,
1105
+ "loss": 0.1032,
1106
+ "step": 885
1107
+ },
1108
+ {
1109
+ "epoch": 4.47,
1110
+ "learning_rate": 3.7269681742043554e-05,
1111
+ "loss": 0.3141,
1112
+ "step": 890
1113
+ },
1114
+ {
1115
+ "epoch": 4.5,
1116
+ "learning_rate": 3.747906197654942e-05,
1117
+ "loss": 0.1564,
1118
+ "step": 895
1119
+ },
1120
+ {
1121
+ "epoch": 4.52,
1122
+ "learning_rate": 3.768844221105528e-05,
1123
+ "loss": 0.0563,
1124
+ "step": 900
1125
+ },
1126
+ {
1127
+ "epoch": 4.55,
1128
+ "learning_rate": 3.7897822445561145e-05,
1129
+ "loss": 0.1056,
1130
+ "step": 905
1131
+ },
1132
+ {
1133
+ "epoch": 4.57,
1134
+ "learning_rate": 3.8107202680067004e-05,
1135
+ "loss": 0.0493,
1136
+ "step": 910
1137
+ },
1138
+ {
1139
+ "epoch": 4.6,
1140
+ "learning_rate": 3.831658291457287e-05,
1141
+ "loss": 0.1122,
1142
+ "step": 915
1143
+ },
1144
+ {
1145
+ "epoch": 4.62,
1146
+ "learning_rate": 3.852596314907873e-05,
1147
+ "loss": 0.159,
1148
+ "step": 920
1149
+ },
1150
+ {
1151
+ "epoch": 4.65,
1152
+ "learning_rate": 3.8735343383584595e-05,
1153
+ "loss": 0.1572,
1154
+ "step": 925
1155
+ },
1156
+ {
1157
+ "epoch": 4.67,
1158
+ "learning_rate": 3.8944723618090455e-05,
1159
+ "loss": 0.1588,
1160
+ "step": 930
1161
+ },
1162
+ {
1163
+ "epoch": 4.7,
1164
+ "learning_rate": 3.915410385259632e-05,
1165
+ "loss": 0.0993,
1166
+ "step": 935
1167
+ },
1168
+ {
1169
+ "epoch": 4.72,
1170
+ "learning_rate": 3.936348408710218e-05,
1171
+ "loss": 0.1097,
1172
+ "step": 940
1173
+ },
1174
+ {
1175
+ "epoch": 4.75,
1176
+ "learning_rate": 3.9572864321608046e-05,
1177
+ "loss": 0.0791,
1178
+ "step": 945
1179
+ },
1180
+ {
1181
+ "epoch": 4.77,
1182
+ "learning_rate": 3.9782244556113905e-05,
1183
+ "loss": 0.1141,
1184
+ "step": 950
1185
+ },
1186
+ {
1187
+ "epoch": 4.8,
1188
+ "learning_rate": 3.999162479061977e-05,
1189
+ "loss": 0.1784,
1190
+ "step": 955
1191
+ },
1192
+ {
1193
+ "epoch": 4.82,
1194
+ "learning_rate": 4.020100502512563e-05,
1195
+ "loss": 0.2419,
1196
+ "step": 960
1197
+ },
1198
+ {
1199
+ "epoch": 4.85,
1200
+ "learning_rate": 4.0410385259631496e-05,
1201
+ "loss": 0.1501,
1202
+ "step": 965
1203
+ },
1204
+ {
1205
+ "epoch": 4.87,
1206
+ "learning_rate": 4.0619765494137356e-05,
1207
+ "loss": 0.1157,
1208
+ "step": 970
1209
+ },
1210
+ {
1211
+ "epoch": 4.9,
1212
+ "learning_rate": 4.082914572864322e-05,
1213
+ "loss": 0.1066,
1214
+ "step": 975
1215
+ },
1216
+ {
1217
+ "epoch": 4.92,
1218
+ "learning_rate": 4.103852596314908e-05,
1219
+ "loss": 0.101,
1220
+ "step": 980
1221
+ },
1222
+ {
1223
+ "epoch": 4.95,
1224
+ "learning_rate": 4.124790619765495e-05,
1225
+ "loss": 0.1119,
1226
+ "step": 985
1227
+ },
1228
+ {
1229
+ "epoch": 4.97,
1230
+ "learning_rate": 4.1457286432160806e-05,
1231
+ "loss": 0.0717,
1232
+ "step": 990
1233
+ },
1234
+ {
1235
+ "epoch": 5.0,
1236
+ "learning_rate": 4.166666666666667e-05,
1237
+ "loss": 0.0835,
1238
+ "step": 995
1239
+ },
1240
+ {
1241
+ "epoch": 5.0,
1242
+ "eval_accuracy": 0.9773798303487277,
1243
+ "eval_loss": 0.0723482221364975,
1244
+ "eval_runtime": 97.8347,
1245
+ "eval_samples_per_second": 21.69,
1246
+ "eval_steps_per_second": 2.719,
1247
+ "step": 995
1248
+ },
1249
+ {
1250
+ "epoch": 5.03,
1251
+ "learning_rate": 4.187604690117253e-05,
1252
+ "loss": 0.1101,
1253
+ "step": 1000
1254
+ },
1255
+ {
1256
+ "epoch": 5.05,
1257
+ "learning_rate": 4.20854271356784e-05,
1258
+ "loss": 0.1041,
1259
+ "step": 1005
1260
+ },
1261
+ {
1262
+ "epoch": 5.08,
1263
+ "learning_rate": 4.2294807370184257e-05,
1264
+ "loss": 0.1064,
1265
+ "step": 1010
1266
+ },
1267
+ {
1268
+ "epoch": 5.1,
1269
+ "learning_rate": 4.250418760469012e-05,
1270
+ "loss": 0.0798,
1271
+ "step": 1015
1272
+ },
1273
+ {
1274
+ "epoch": 5.13,
1275
+ "learning_rate": 4.271356783919598e-05,
1276
+ "loss": 0.089,
1277
+ "step": 1020
1278
+ },
1279
+ {
1280
+ "epoch": 5.15,
1281
+ "learning_rate": 4.292294807370185e-05,
1282
+ "loss": 0.0824,
1283
+ "step": 1025
1284
+ },
1285
+ {
1286
+ "epoch": 5.18,
1287
+ "learning_rate": 4.313232830820771e-05,
1288
+ "loss": 0.0932,
1289
+ "step": 1030
1290
+ },
1291
+ {
1292
+ "epoch": 5.2,
1293
+ "learning_rate": 4.334170854271357e-05,
1294
+ "loss": 0.4182,
1295
+ "step": 1035
1296
+ },
1297
+ {
1298
+ "epoch": 5.23,
1299
+ "learning_rate": 4.355108877721943e-05,
1300
+ "loss": 0.2296,
1301
+ "step": 1040
1302
+ },
1303
+ {
1304
+ "epoch": 5.25,
1305
+ "learning_rate": 4.37604690117253e-05,
1306
+ "loss": 0.1084,
1307
+ "step": 1045
1308
+ },
1309
+ {
1310
+ "epoch": 5.28,
1311
+ "learning_rate": 4.396984924623116e-05,
1312
+ "loss": 0.1564,
1313
+ "step": 1050
1314
+ },
1315
+ {
1316
+ "epoch": 5.3,
1317
+ "learning_rate": 4.4179229480737024e-05,
1318
+ "loss": 0.0699,
1319
+ "step": 1055
1320
+ },
1321
+ {
1322
+ "epoch": 5.33,
1323
+ "learning_rate": 4.438860971524288e-05,
1324
+ "loss": 0.1,
1325
+ "step": 1060
1326
+ },
1327
+ {
1328
+ "epoch": 5.35,
1329
+ "learning_rate": 4.459798994974875e-05,
1330
+ "loss": 0.0622,
1331
+ "step": 1065
1332
+ },
1333
+ {
1334
+ "epoch": 5.38,
1335
+ "learning_rate": 4.480737018425461e-05,
1336
+ "loss": 0.01,
1337
+ "step": 1070
1338
+ },
1339
+ {
1340
+ "epoch": 5.4,
1341
+ "learning_rate": 4.5016750418760474e-05,
1342
+ "loss": 0.1224,
1343
+ "step": 1075
1344
+ },
1345
+ {
1346
+ "epoch": 5.43,
1347
+ "learning_rate": 4.522613065326633e-05,
1348
+ "loss": 0.0589,
1349
+ "step": 1080
1350
+ },
1351
+ {
1352
+ "epoch": 5.45,
1353
+ "learning_rate": 4.54355108877722e-05,
1354
+ "loss": 0.0225,
1355
+ "step": 1085
1356
+ },
1357
+ {
1358
+ "epoch": 5.48,
1359
+ "learning_rate": 4.564489112227806e-05,
1360
+ "loss": 0.0705,
1361
+ "step": 1090
1362
+ },
1363
+ {
1364
+ "epoch": 5.5,
1365
+ "learning_rate": 4.5854271356783925e-05,
1366
+ "loss": 0.202,
1367
+ "step": 1095
1368
+ },
1369
+ {
1370
+ "epoch": 5.53,
1371
+ "learning_rate": 4.6063651591289784e-05,
1372
+ "loss": 0.2759,
1373
+ "step": 1100
1374
+ },
1375
+ {
1376
+ "epoch": 5.55,
1377
+ "learning_rate": 4.627303182579565e-05,
1378
+ "loss": 0.085,
1379
+ "step": 1105
1380
+ },
1381
+ {
1382
+ "epoch": 5.58,
1383
+ "learning_rate": 4.648241206030151e-05,
1384
+ "loss": 0.2277,
1385
+ "step": 1110
1386
+ },
1387
+ {
1388
+ "epoch": 5.6,
1389
+ "learning_rate": 4.6691792294807375e-05,
1390
+ "loss": 0.1244,
1391
+ "step": 1115
1392
+ },
1393
+ {
1394
+ "epoch": 5.63,
1395
+ "learning_rate": 4.6901172529313234e-05,
1396
+ "loss": 0.1546,
1397
+ "step": 1120
1398
+ },
1399
+ {
1400
+ "epoch": 5.65,
1401
+ "learning_rate": 4.71105527638191e-05,
1402
+ "loss": 0.1647,
1403
+ "step": 1125
1404
+ },
1405
+ {
1406
+ "epoch": 5.68,
1407
+ "learning_rate": 4.731993299832496e-05,
1408
+ "loss": 0.1132,
1409
+ "step": 1130
1410
+ },
1411
+ {
1412
+ "epoch": 5.7,
1413
+ "learning_rate": 4.7529313232830825e-05,
1414
+ "loss": 0.1073,
1415
+ "step": 1135
1416
+ },
1417
+ {
1418
+ "epoch": 5.73,
1419
+ "learning_rate": 4.7738693467336685e-05,
1420
+ "loss": 0.1238,
1421
+ "step": 1140
1422
+ },
1423
+ {
1424
+ "epoch": 5.75,
1425
+ "learning_rate": 4.794807370184255e-05,
1426
+ "loss": 0.2033,
1427
+ "step": 1145
1428
+ },
1429
+ {
1430
+ "epoch": 5.78,
1431
+ "learning_rate": 4.815745393634841e-05,
1432
+ "loss": 0.0867,
1433
+ "step": 1150
1434
+ },
1435
+ {
1436
+ "epoch": 5.8,
1437
+ "learning_rate": 4.8366834170854276e-05,
1438
+ "loss": 0.0723,
1439
+ "step": 1155
1440
+ },
1441
+ {
1442
+ "epoch": 5.83,
1443
+ "learning_rate": 4.8576214405360135e-05,
1444
+ "loss": 0.137,
1445
+ "step": 1160
1446
+ },
1447
+ {
1448
+ "epoch": 5.85,
1449
+ "learning_rate": 4.8785594639866e-05,
1450
+ "loss": 0.0512,
1451
+ "step": 1165
1452
+ },
1453
+ {
1454
+ "epoch": 5.88,
1455
+ "learning_rate": 4.899497487437186e-05,
1456
+ "loss": 0.1065,
1457
+ "step": 1170
1458
+ },
1459
+ {
1460
+ "epoch": 5.9,
1461
+ "learning_rate": 4.9204355108877726e-05,
1462
+ "loss": 0.2667,
1463
+ "step": 1175
1464
+ },
1465
+ {
1466
+ "epoch": 5.93,
1467
+ "learning_rate": 4.9413735343383586e-05,
1468
+ "loss": 0.147,
1469
+ "step": 1180
1470
+ },
1471
+ {
1472
+ "epoch": 5.95,
1473
+ "learning_rate": 4.962311557788945e-05,
1474
+ "loss": 0.1028,
1475
+ "step": 1185
1476
+ },
1477
+ {
1478
+ "epoch": 5.98,
1479
+ "learning_rate": 4.983249581239531e-05,
1480
+ "loss": 0.1394,
1481
+ "step": 1190
1482
+ },
1483
+ {
1484
+ "epoch": 6.0,
1485
+ "eval_accuracy": 0.9839773798303487,
1486
+ "eval_loss": 0.053156234323978424,
1487
+ "eval_runtime": 97.7938,
1488
+ "eval_samples_per_second": 21.699,
1489
+ "eval_steps_per_second": 2.72,
1490
+ "step": 1194
1491
+ },
1492
+ {
1493
+ "epoch": 6.01,
1494
+ "learning_rate": 4.995812395309883e-05,
1495
+ "loss": 0.0928,
1496
+ "step": 1195
1497
+ },
1498
+ {
1499
+ "epoch": 6.03,
1500
+ "learning_rate": 4.974874371859297e-05,
1501
+ "loss": 0.0537,
1502
+ "step": 1200
1503
+ },
1504
+ {
1505
+ "epoch": 6.06,
1506
+ "learning_rate": 4.95393634840871e-05,
1507
+ "loss": 0.0993,
1508
+ "step": 1205
1509
+ },
1510
+ {
1511
+ "epoch": 6.08,
1512
+ "learning_rate": 4.932998324958124e-05,
1513
+ "loss": 0.0648,
1514
+ "step": 1210
1515
+ },
1516
+ {
1517
+ "epoch": 6.11,
1518
+ "learning_rate": 4.912060301507538e-05,
1519
+ "loss": 0.088,
1520
+ "step": 1215
1521
+ },
1522
+ {
1523
+ "epoch": 6.13,
1524
+ "learning_rate": 4.891122278056952e-05,
1525
+ "loss": 0.1295,
1526
+ "step": 1220
1527
+ },
1528
+ {
1529
+ "epoch": 6.16,
1530
+ "learning_rate": 4.870184254606365e-05,
1531
+ "loss": 0.1558,
1532
+ "step": 1225
1533
+ },
1534
+ {
1535
+ "epoch": 6.18,
1536
+ "learning_rate": 4.849246231155779e-05,
1537
+ "loss": 0.2002,
1538
+ "step": 1230
1539
+ },
1540
+ {
1541
+ "epoch": 6.21,
1542
+ "learning_rate": 4.828308207705193e-05,
1543
+ "loss": 0.3142,
1544
+ "step": 1235
1545
+ },
1546
+ {
1547
+ "epoch": 6.23,
1548
+ "learning_rate": 4.807370184254607e-05,
1549
+ "loss": 0.0635,
1550
+ "step": 1240
1551
+ },
1552
+ {
1553
+ "epoch": 6.26,
1554
+ "learning_rate": 4.78643216080402e-05,
1555
+ "loss": 0.0775,
1556
+ "step": 1245
1557
+ },
1558
+ {
1559
+ "epoch": 6.28,
1560
+ "learning_rate": 4.765494137353434e-05,
1561
+ "loss": 0.1708,
1562
+ "step": 1250
1563
+ },
1564
+ {
1565
+ "epoch": 6.31,
1566
+ "learning_rate": 4.7445561139028476e-05,
1567
+ "loss": 0.0506,
1568
+ "step": 1255
1569
+ },
1570
+ {
1571
+ "epoch": 6.33,
1572
+ "learning_rate": 4.723618090452262e-05,
1573
+ "loss": 0.1627,
1574
+ "step": 1260
1575
+ },
1576
+ {
1577
+ "epoch": 6.36,
1578
+ "learning_rate": 4.702680067001675e-05,
1579
+ "loss": 0.1398,
1580
+ "step": 1265
1581
+ },
1582
+ {
1583
+ "epoch": 6.38,
1584
+ "learning_rate": 4.681742043551089e-05,
1585
+ "loss": 0.1812,
1586
+ "step": 1270
1587
+ },
1588
+ {
1589
+ "epoch": 6.41,
1590
+ "learning_rate": 4.6608040201005026e-05,
1591
+ "loss": 0.0936,
1592
+ "step": 1275
1593
+ },
1594
+ {
1595
+ "epoch": 6.43,
1596
+ "learning_rate": 4.639865996649917e-05,
1597
+ "loss": 0.0245,
1598
+ "step": 1280
1599
+ },
1600
+ {
1601
+ "epoch": 6.46,
1602
+ "learning_rate": 4.61892797319933e-05,
1603
+ "loss": 0.0954,
1604
+ "step": 1285
1605
+ },
1606
+ {
1607
+ "epoch": 6.48,
1608
+ "learning_rate": 4.597989949748744e-05,
1609
+ "loss": 0.0704,
1610
+ "step": 1290
1611
+ },
1612
+ {
1613
+ "epoch": 6.51,
1614
+ "learning_rate": 4.5770519262981575e-05,
1615
+ "loss": 0.1565,
1616
+ "step": 1295
1617
+ },
1618
+ {
1619
+ "epoch": 6.53,
1620
+ "learning_rate": 4.5561139028475716e-05,
1621
+ "loss": 0.1076,
1622
+ "step": 1300
1623
+ },
1624
+ {
1625
+ "epoch": 6.56,
1626
+ "learning_rate": 4.535175879396985e-05,
1627
+ "loss": 0.1881,
1628
+ "step": 1305
1629
+ },
1630
+ {
1631
+ "epoch": 6.58,
1632
+ "learning_rate": 4.514237855946399e-05,
1633
+ "loss": 0.0587,
1634
+ "step": 1310
1635
+ },
1636
+ {
1637
+ "epoch": 6.61,
1638
+ "learning_rate": 4.4932998324958125e-05,
1639
+ "loss": 0.1567,
1640
+ "step": 1315
1641
+ },
1642
+ {
1643
+ "epoch": 6.63,
1644
+ "learning_rate": 4.4723618090452266e-05,
1645
+ "loss": 0.0366,
1646
+ "step": 1320
1647
+ },
1648
+ {
1649
+ "epoch": 6.66,
1650
+ "learning_rate": 4.45142378559464e-05,
1651
+ "loss": 0.1041,
1652
+ "step": 1325
1653
+ },
1654
+ {
1655
+ "epoch": 6.68,
1656
+ "learning_rate": 4.430485762144054e-05,
1657
+ "loss": 0.089,
1658
+ "step": 1330
1659
+ },
1660
+ {
1661
+ "epoch": 6.71,
1662
+ "learning_rate": 4.4095477386934674e-05,
1663
+ "loss": 0.1075,
1664
+ "step": 1335
1665
+ },
1666
+ {
1667
+ "epoch": 6.73,
1668
+ "learning_rate": 4.3886097152428815e-05,
1669
+ "loss": 0.1567,
1670
+ "step": 1340
1671
+ },
1672
+ {
1673
+ "epoch": 6.76,
1674
+ "learning_rate": 4.367671691792295e-05,
1675
+ "loss": 0.0756,
1676
+ "step": 1345
1677
+ },
1678
+ {
1679
+ "epoch": 6.78,
1680
+ "learning_rate": 4.346733668341709e-05,
1681
+ "loss": 0.0343,
1682
+ "step": 1350
1683
+ },
1684
+ {
1685
+ "epoch": 6.81,
1686
+ "learning_rate": 4.3257956448911224e-05,
1687
+ "loss": 0.0901,
1688
+ "step": 1355
1689
+ },
1690
+ {
1691
+ "epoch": 6.83,
1692
+ "learning_rate": 4.3048576214405365e-05,
1693
+ "loss": 0.1653,
1694
+ "step": 1360
1695
+ },
1696
+ {
1697
+ "epoch": 6.86,
1698
+ "learning_rate": 4.28391959798995e-05,
1699
+ "loss": 0.0706,
1700
+ "step": 1365
1701
+ },
1702
+ {
1703
+ "epoch": 6.88,
1704
+ "learning_rate": 4.262981574539364e-05,
1705
+ "loss": 0.103,
1706
+ "step": 1370
1707
+ },
1708
+ {
1709
+ "epoch": 6.91,
1710
+ "learning_rate": 4.2420435510887773e-05,
1711
+ "loss": 0.1454,
1712
+ "step": 1375
1713
+ },
1714
+ {
1715
+ "epoch": 6.93,
1716
+ "learning_rate": 4.2211055276381914e-05,
1717
+ "loss": 0.1699,
1718
+ "step": 1380
1719
+ },
1720
+ {
1721
+ "epoch": 6.96,
1722
+ "learning_rate": 4.200167504187605e-05,
1723
+ "loss": 0.0539,
1724
+ "step": 1385
1725
+ },
1726
+ {
1727
+ "epoch": 6.98,
1728
+ "learning_rate": 4.179229480737019e-05,
1729
+ "loss": 0.1755,
1730
+ "step": 1390
1731
+ },
1732
+ {
1733
+ "epoch": 7.0,
1734
+ "eval_accuracy": 0.972196041470311,
1735
+ "eval_loss": 0.10677025467157364,
1736
+ "eval_runtime": 97.4823,
1737
+ "eval_samples_per_second": 21.768,
1738
+ "eval_steps_per_second": 2.729,
1739
+ "step": 1393
1740
+ },
1741
+ {
1742
+ "epoch": 7.01,
1743
+ "learning_rate": 4.158291457286432e-05,
1744
+ "loss": 0.0572,
1745
+ "step": 1395
1746
+ },
1747
+ {
1748
+ "epoch": 7.04,
1749
+ "learning_rate": 4.1373534338358464e-05,
1750
+ "loss": 0.1214,
1751
+ "step": 1400
1752
+ },
1753
+ {
1754
+ "epoch": 7.06,
1755
+ "learning_rate": 4.11641541038526e-05,
1756
+ "loss": 0.0471,
1757
+ "step": 1405
1758
+ },
1759
+ {
1760
+ "epoch": 7.09,
1761
+ "learning_rate": 4.095477386934674e-05,
1762
+ "loss": 0.0309,
1763
+ "step": 1410
1764
+ },
1765
+ {
1766
+ "epoch": 7.11,
1767
+ "learning_rate": 4.074539363484087e-05,
1768
+ "loss": 0.0536,
1769
+ "step": 1415
1770
+ },
1771
+ {
1772
+ "epoch": 7.14,
1773
+ "learning_rate": 4.053601340033501e-05,
1774
+ "loss": 0.1121,
1775
+ "step": 1420
1776
+ },
1777
+ {
1778
+ "epoch": 7.16,
1779
+ "learning_rate": 4.032663316582915e-05,
1780
+ "loss": 0.0944,
1781
+ "step": 1425
1782
+ },
1783
+ {
1784
+ "epoch": 7.19,
1785
+ "learning_rate": 4.011725293132329e-05,
1786
+ "loss": 0.0377,
1787
+ "step": 1430
1788
+ },
1789
+ {
1790
+ "epoch": 7.21,
1791
+ "learning_rate": 3.990787269681742e-05,
1792
+ "loss": 0.0993,
1793
+ "step": 1435
1794
+ },
1795
+ {
1796
+ "epoch": 7.24,
1797
+ "learning_rate": 3.969849246231156e-05,
1798
+ "loss": 0.1169,
1799
+ "step": 1440
1800
+ },
1801
+ {
1802
+ "epoch": 7.26,
1803
+ "learning_rate": 3.94891122278057e-05,
1804
+ "loss": 0.0386,
1805
+ "step": 1445
1806
+ },
1807
+ {
1808
+ "epoch": 7.29,
1809
+ "learning_rate": 3.927973199329984e-05,
1810
+ "loss": 0.046,
1811
+ "step": 1450
1812
+ },
1813
+ {
1814
+ "epoch": 7.31,
1815
+ "learning_rate": 3.907035175879397e-05,
1816
+ "loss": 0.2317,
1817
+ "step": 1455
1818
+ },
1819
+ {
1820
+ "epoch": 7.34,
1821
+ "learning_rate": 3.886097152428811e-05,
1822
+ "loss": 0.186,
1823
+ "step": 1460
1824
+ },
1825
+ {
1826
+ "epoch": 7.36,
1827
+ "learning_rate": 3.8651591289782246e-05,
1828
+ "loss": 0.0667,
1829
+ "step": 1465
1830
+ },
1831
+ {
1832
+ "epoch": 7.39,
1833
+ "learning_rate": 3.844221105527639e-05,
1834
+ "loss": 0.0356,
1835
+ "step": 1470
1836
+ },
1837
+ {
1838
+ "epoch": 7.41,
1839
+ "learning_rate": 3.823283082077052e-05,
1840
+ "loss": 0.0995,
1841
+ "step": 1475
1842
+ },
1843
+ {
1844
+ "epoch": 7.44,
1845
+ "learning_rate": 3.802345058626466e-05,
1846
+ "loss": 0.0777,
1847
+ "step": 1480
1848
+ },
1849
+ {
1850
+ "epoch": 7.46,
1851
+ "learning_rate": 3.7814070351758796e-05,
1852
+ "loss": 0.1209,
1853
+ "step": 1485
1854
+ },
1855
+ {
1856
+ "epoch": 7.49,
1857
+ "learning_rate": 3.7604690117252936e-05,
1858
+ "loss": 0.032,
1859
+ "step": 1490
1860
+ },
1861
+ {
1862
+ "epoch": 7.51,
1863
+ "learning_rate": 3.739530988274707e-05,
1864
+ "loss": 0.095,
1865
+ "step": 1495
1866
+ },
1867
+ {
1868
+ "epoch": 7.54,
1869
+ "learning_rate": 3.7185929648241204e-05,
1870
+ "loss": 0.0318,
1871
+ "step": 1500
1872
+ },
1873
+ {
1874
+ "epoch": 7.56,
1875
+ "learning_rate": 3.6976549413735345e-05,
1876
+ "loss": 0.1013,
1877
+ "step": 1505
1878
+ },
1879
+ {
1880
+ "epoch": 7.59,
1881
+ "learning_rate": 3.676716917922948e-05,
1882
+ "loss": 0.1607,
1883
+ "step": 1510
1884
+ },
1885
+ {
1886
+ "epoch": 7.61,
1887
+ "learning_rate": 3.655778894472362e-05,
1888
+ "loss": 0.199,
1889
+ "step": 1515
1890
+ },
1891
+ {
1892
+ "epoch": 7.64,
1893
+ "learning_rate": 3.6348408710217754e-05,
1894
+ "loss": 0.1084,
1895
+ "step": 1520
1896
+ },
1897
+ {
1898
+ "epoch": 7.66,
1899
+ "learning_rate": 3.6139028475711895e-05,
1900
+ "loss": 0.0693,
1901
+ "step": 1525
1902
+ },
1903
+ {
1904
+ "epoch": 7.69,
1905
+ "learning_rate": 3.592964824120603e-05,
1906
+ "loss": 0.0416,
1907
+ "step": 1530
1908
+ },
1909
+ {
1910
+ "epoch": 7.71,
1911
+ "learning_rate": 3.572026800670017e-05,
1912
+ "loss": 0.044,
1913
+ "step": 1535
1914
+ },
1915
+ {
1916
+ "epoch": 7.74,
1917
+ "learning_rate": 3.5510887772194303e-05,
1918
+ "loss": 0.0661,
1919
+ "step": 1540
1920
+ },
1921
+ {
1922
+ "epoch": 7.76,
1923
+ "learning_rate": 3.5301507537688444e-05,
1924
+ "loss": 0.0486,
1925
+ "step": 1545
1926
+ },
1927
+ {
1928
+ "epoch": 7.79,
1929
+ "learning_rate": 3.509212730318258e-05,
1930
+ "loss": 0.0721,
1931
+ "step": 1550
1932
+ },
1933
+ {
1934
+ "epoch": 7.81,
1935
+ "learning_rate": 3.488274706867672e-05,
1936
+ "loss": 0.046,
1937
+ "step": 1555
1938
+ },
1939
+ {
1940
+ "epoch": 7.84,
1941
+ "learning_rate": 3.467336683417085e-05,
1942
+ "loss": 0.0026,
1943
+ "step": 1560
1944
+ },
1945
+ {
1946
+ "epoch": 7.86,
1947
+ "learning_rate": 3.4463986599664994e-05,
1948
+ "loss": 0.0605,
1949
+ "step": 1565
1950
+ },
1951
+ {
1952
+ "epoch": 7.89,
1953
+ "learning_rate": 3.425460636515913e-05,
1954
+ "loss": 0.2765,
1955
+ "step": 1570
1956
+ },
1957
+ {
1958
+ "epoch": 7.91,
1959
+ "learning_rate": 3.404522613065327e-05,
1960
+ "loss": 0.0311,
1961
+ "step": 1575
1962
+ },
1963
+ {
1964
+ "epoch": 7.94,
1965
+ "learning_rate": 3.38358458961474e-05,
1966
+ "loss": 0.0867,
1967
+ "step": 1580
1968
+ },
1969
+ {
1970
+ "epoch": 7.96,
1971
+ "learning_rate": 3.362646566164154e-05,
1972
+ "loss": 0.0948,
1973
+ "step": 1585
1974
+ },
1975
+ {
1976
+ "epoch": 7.99,
1977
+ "learning_rate": 3.341708542713568e-05,
1978
+ "loss": 0.1134,
1979
+ "step": 1590
1980
+ },
1981
+ {
1982
+ "epoch": 8.0,
1983
+ "eval_accuracy": 0.9891611687087654,
1984
+ "eval_loss": 0.03898489847779274,
1985
+ "eval_runtime": 97.6281,
1986
+ "eval_samples_per_second": 21.736,
1987
+ "eval_steps_per_second": 2.725,
1988
+ "step": 1592
1989
+ },
1990
+ {
1991
+ "epoch": 8.02,
1992
+ "learning_rate": 3.320770519262982e-05,
1993
+ "loss": 0.044,
1994
+ "step": 1595
1995
+ },
1996
+ {
1997
+ "epoch": 8.04,
1998
+ "learning_rate": 3.299832495812395e-05,
1999
+ "loss": 0.0692,
2000
+ "step": 1600
2001
+ },
2002
+ {
2003
+ "epoch": 8.07,
2004
+ "learning_rate": 3.278894472361809e-05,
2005
+ "loss": 0.0483,
2006
+ "step": 1605
2007
+ },
2008
+ {
2009
+ "epoch": 8.09,
2010
+ "learning_rate": 3.257956448911223e-05,
2011
+ "loss": 0.1185,
2012
+ "step": 1610
2013
+ },
2014
+ {
2015
+ "epoch": 8.12,
2016
+ "learning_rate": 3.237018425460637e-05,
2017
+ "loss": 0.0566,
2018
+ "step": 1615
2019
+ },
2020
+ {
2021
+ "epoch": 8.14,
2022
+ "learning_rate": 3.21608040201005e-05,
2023
+ "loss": 0.0667,
2024
+ "step": 1620
2025
+ },
2026
+ {
2027
+ "epoch": 8.17,
2028
+ "learning_rate": 3.195142378559464e-05,
2029
+ "loss": 0.0046,
2030
+ "step": 1625
2031
+ },
2032
+ {
2033
+ "epoch": 8.19,
2034
+ "learning_rate": 3.1742043551088776e-05,
2035
+ "loss": 0.0482,
2036
+ "step": 1630
2037
+ },
2038
+ {
2039
+ "epoch": 8.22,
2040
+ "learning_rate": 3.153266331658292e-05,
2041
+ "loss": 0.0379,
2042
+ "step": 1635
2043
+ },
2044
+ {
2045
+ "epoch": 8.24,
2046
+ "learning_rate": 3.132328308207705e-05,
2047
+ "loss": 0.0418,
2048
+ "step": 1640
2049
+ },
2050
+ {
2051
+ "epoch": 8.27,
2052
+ "learning_rate": 3.111390284757119e-05,
2053
+ "loss": 0.0461,
2054
+ "step": 1645
2055
+ },
2056
+ {
2057
+ "epoch": 8.29,
2058
+ "learning_rate": 3.0904522613065326e-05,
2059
+ "loss": 0.0681,
2060
+ "step": 1650
2061
+ },
2062
+ {
2063
+ "epoch": 8.32,
2064
+ "learning_rate": 3.0695142378559467e-05,
2065
+ "loss": 0.0938,
2066
+ "step": 1655
2067
+ },
2068
+ {
2069
+ "epoch": 8.34,
2070
+ "learning_rate": 3.0485762144053604e-05,
2071
+ "loss": 0.021,
2072
+ "step": 1660
2073
+ },
2074
+ {
2075
+ "epoch": 8.37,
2076
+ "learning_rate": 3.027638190954774e-05,
2077
+ "loss": 0.1184,
2078
+ "step": 1665
2079
+ },
2080
+ {
2081
+ "epoch": 8.39,
2082
+ "learning_rate": 3.006700167504188e-05,
2083
+ "loss": 0.033,
2084
+ "step": 1670
2085
+ },
2086
+ {
2087
+ "epoch": 8.42,
2088
+ "learning_rate": 2.9857621440536016e-05,
2089
+ "loss": 0.0306,
2090
+ "step": 1675
2091
+ },
2092
+ {
2093
+ "epoch": 8.44,
2094
+ "learning_rate": 2.9648241206030153e-05,
2095
+ "loss": 0.0716,
2096
+ "step": 1680
2097
+ },
2098
+ {
2099
+ "epoch": 8.47,
2100
+ "learning_rate": 2.943886097152429e-05,
2101
+ "loss": 0.0368,
2102
+ "step": 1685
2103
+ },
2104
+ {
2105
+ "epoch": 8.49,
2106
+ "learning_rate": 2.9229480737018428e-05,
2107
+ "loss": 0.0415,
2108
+ "step": 1690
2109
+ },
2110
+ {
2111
+ "epoch": 8.52,
2112
+ "learning_rate": 2.9020100502512566e-05,
2113
+ "loss": 0.0173,
2114
+ "step": 1695
2115
+ },
2116
+ {
2117
+ "epoch": 8.54,
2118
+ "learning_rate": 2.8810720268006703e-05,
2119
+ "loss": 0.0454,
2120
+ "step": 1700
2121
+ },
2122
+ {
2123
+ "epoch": 8.57,
2124
+ "learning_rate": 2.860134003350084e-05,
2125
+ "loss": 0.0123,
2126
+ "step": 1705
2127
+ },
2128
+ {
2129
+ "epoch": 8.59,
2130
+ "learning_rate": 2.8391959798994978e-05,
2131
+ "loss": 0.051,
2132
+ "step": 1710
2133
+ },
2134
+ {
2135
+ "epoch": 8.62,
2136
+ "learning_rate": 2.8182579564489115e-05,
2137
+ "loss": 0.1609,
2138
+ "step": 1715
2139
+ },
2140
+ {
2141
+ "epoch": 8.64,
2142
+ "learning_rate": 2.7973199329983252e-05,
2143
+ "loss": 0.2212,
2144
+ "step": 1720
2145
+ },
2146
+ {
2147
+ "epoch": 8.67,
2148
+ "learning_rate": 2.776381909547739e-05,
2149
+ "loss": 0.1194,
2150
+ "step": 1725
2151
+ },
2152
+ {
2153
+ "epoch": 8.69,
2154
+ "learning_rate": 2.7554438860971527e-05,
2155
+ "loss": 0.0056,
2156
+ "step": 1730
2157
+ },
2158
+ {
2159
+ "epoch": 8.72,
2160
+ "learning_rate": 2.7345058626465665e-05,
2161
+ "loss": 0.0929,
2162
+ "step": 1735
2163
+ },
2164
+ {
2165
+ "epoch": 8.74,
2166
+ "learning_rate": 2.7135678391959802e-05,
2167
+ "loss": 0.0416,
2168
+ "step": 1740
2169
+ },
2170
+ {
2171
+ "epoch": 8.77,
2172
+ "learning_rate": 2.692629815745394e-05,
2173
+ "loss": 0.0302,
2174
+ "step": 1745
2175
+ },
2176
+ {
2177
+ "epoch": 8.79,
2178
+ "learning_rate": 2.6716917922948077e-05,
2179
+ "loss": 0.0378,
2180
+ "step": 1750
2181
+ },
2182
+ {
2183
+ "epoch": 8.82,
2184
+ "learning_rate": 2.6507537688442214e-05,
2185
+ "loss": 0.0631,
2186
+ "step": 1755
2187
+ },
2188
+ {
2189
+ "epoch": 8.84,
2190
+ "learning_rate": 2.629815745393635e-05,
2191
+ "loss": 0.0956,
2192
+ "step": 1760
2193
+ },
2194
+ {
2195
+ "epoch": 8.87,
2196
+ "learning_rate": 2.608877721943049e-05,
2197
+ "loss": 0.1353,
2198
+ "step": 1765
2199
+ },
2200
+ {
2201
+ "epoch": 8.89,
2202
+ "learning_rate": 2.5879396984924626e-05,
2203
+ "loss": 0.0284,
2204
+ "step": 1770
2205
+ },
2206
+ {
2207
+ "epoch": 8.92,
2208
+ "learning_rate": 2.5670016750418764e-05,
2209
+ "loss": 0.0571,
2210
+ "step": 1775
2211
+ },
2212
+ {
2213
+ "epoch": 8.94,
2214
+ "learning_rate": 2.54606365159129e-05,
2215
+ "loss": 0.0327,
2216
+ "step": 1780
2217
+ },
2218
+ {
2219
+ "epoch": 8.97,
2220
+ "learning_rate": 2.525125628140704e-05,
2221
+ "loss": 0.0474,
2222
+ "step": 1785
2223
+ },
2224
+ {
2225
+ "epoch": 8.99,
2226
+ "learning_rate": 2.5041876046901176e-05,
2227
+ "loss": 0.0237,
2228
+ "step": 1790
2229
+ },
2230
+ {
2231
+ "epoch": 9.0,
2232
+ "eval_accuracy": 0.9863336475023563,
2233
+ "eval_loss": 0.07885753363370895,
2234
+ "eval_runtime": 97.5109,
2235
+ "eval_samples_per_second": 21.762,
2236
+ "eval_steps_per_second": 2.728,
2237
+ "step": 1791
2238
+ },
2239
+ {
2240
+ "epoch": 9.02,
2241
+ "learning_rate": 2.4832495812395313e-05,
2242
+ "loss": 0.0121,
2243
+ "step": 1795
2244
+ },
2245
+ {
2246
+ "epoch": 9.05,
2247
+ "learning_rate": 2.462311557788945e-05,
2248
+ "loss": 0.0362,
2249
+ "step": 1800
2250
+ },
2251
+ {
2252
+ "epoch": 9.07,
2253
+ "learning_rate": 2.4413735343383588e-05,
2254
+ "loss": 0.0142,
2255
+ "step": 1805
2256
+ },
2257
+ {
2258
+ "epoch": 9.1,
2259
+ "learning_rate": 2.4204355108877725e-05,
2260
+ "loss": 0.0061,
2261
+ "step": 1810
2262
+ },
2263
+ {
2264
+ "epoch": 9.12,
2265
+ "learning_rate": 2.3994974874371863e-05,
2266
+ "loss": 0.0127,
2267
+ "step": 1815
2268
+ },
2269
+ {
2270
+ "epoch": 9.15,
2271
+ "learning_rate": 2.3785594639866e-05,
2272
+ "loss": 0.0539,
2273
+ "step": 1820
2274
+ },
2275
+ {
2276
+ "epoch": 9.17,
2277
+ "learning_rate": 2.3576214405360137e-05,
2278
+ "loss": 0.0749,
2279
+ "step": 1825
2280
+ },
2281
+ {
2282
+ "epoch": 9.2,
2283
+ "learning_rate": 2.3366834170854275e-05,
2284
+ "loss": 0.0019,
2285
+ "step": 1830
2286
+ },
2287
+ {
2288
+ "epoch": 9.22,
2289
+ "learning_rate": 2.3157453936348412e-05,
2290
+ "loss": 0.0753,
2291
+ "step": 1835
2292
+ },
2293
+ {
2294
+ "epoch": 9.25,
2295
+ "learning_rate": 2.294807370184255e-05,
2296
+ "loss": 0.1121,
2297
+ "step": 1840
2298
+ },
2299
+ {
2300
+ "epoch": 9.27,
2301
+ "learning_rate": 2.2738693467336687e-05,
2302
+ "loss": 0.0372,
2303
+ "step": 1845
2304
+ },
2305
+ {
2306
+ "epoch": 9.3,
2307
+ "learning_rate": 2.2529313232830824e-05,
2308
+ "loss": 0.06,
2309
+ "step": 1850
2310
+ },
2311
+ {
2312
+ "epoch": 9.32,
2313
+ "learning_rate": 2.231993299832496e-05,
2314
+ "loss": 0.0199,
2315
+ "step": 1855
2316
+ },
2317
+ {
2318
+ "epoch": 9.35,
2319
+ "learning_rate": 2.21105527638191e-05,
2320
+ "loss": 0.1,
2321
+ "step": 1860
2322
+ },
2323
+ {
2324
+ "epoch": 9.37,
2325
+ "learning_rate": 2.1901172529313236e-05,
2326
+ "loss": 0.0782,
2327
+ "step": 1865
2328
+ },
2329
+ {
2330
+ "epoch": 9.4,
2331
+ "learning_rate": 2.169179229480737e-05,
2332
+ "loss": 0.1011,
2333
+ "step": 1870
2334
+ },
2335
+ {
2336
+ "epoch": 9.42,
2337
+ "learning_rate": 2.1482412060301508e-05,
2338
+ "loss": 0.0347,
2339
+ "step": 1875
2340
+ },
2341
+ {
2342
+ "epoch": 9.45,
2343
+ "learning_rate": 2.1273031825795645e-05,
2344
+ "loss": 0.0011,
2345
+ "step": 1880
2346
+ },
2347
+ {
2348
+ "epoch": 9.47,
2349
+ "learning_rate": 2.1063651591289783e-05,
2350
+ "loss": 0.0128,
2351
+ "step": 1885
2352
+ },
2353
+ {
2354
+ "epoch": 9.5,
2355
+ "learning_rate": 2.085427135678392e-05,
2356
+ "loss": 0.0012,
2357
+ "step": 1890
2358
+ },
2359
+ {
2360
+ "epoch": 9.52,
2361
+ "learning_rate": 2.0644891122278057e-05,
2362
+ "loss": 0.0028,
2363
+ "step": 1895
2364
+ },
2365
+ {
2366
+ "epoch": 9.55,
2367
+ "learning_rate": 2.0435510887772195e-05,
2368
+ "loss": 0.0245,
2369
+ "step": 1900
2370
+ },
2371
+ {
2372
+ "epoch": 9.57,
2373
+ "learning_rate": 2.0226130653266332e-05,
2374
+ "loss": 0.0058,
2375
+ "step": 1905
2376
+ },
2377
+ {
2378
+ "epoch": 9.6,
2379
+ "learning_rate": 2.001675041876047e-05,
2380
+ "loss": 0.0124,
2381
+ "step": 1910
2382
+ },
2383
+ {
2384
+ "epoch": 9.62,
2385
+ "learning_rate": 1.9807370184254607e-05,
2386
+ "loss": 0.0184,
2387
+ "step": 1915
2388
+ },
2389
+ {
2390
+ "epoch": 9.65,
2391
+ "learning_rate": 1.9597989949748744e-05,
2392
+ "loss": 0.1744,
2393
+ "step": 1920
2394
+ },
2395
+ {
2396
+ "epoch": 9.67,
2397
+ "learning_rate": 1.938860971524288e-05,
2398
+ "loss": 0.0661,
2399
+ "step": 1925
2400
+ },
2401
+ {
2402
+ "epoch": 9.7,
2403
+ "learning_rate": 1.917922948073702e-05,
2404
+ "loss": 0.0298,
2405
+ "step": 1930
2406
+ },
2407
+ {
2408
+ "epoch": 9.72,
2409
+ "learning_rate": 1.8969849246231156e-05,
2410
+ "loss": 0.0943,
2411
+ "step": 1935
2412
+ },
2413
+ {
2414
+ "epoch": 9.75,
2415
+ "learning_rate": 1.8760469011725294e-05,
2416
+ "loss": 0.0228,
2417
+ "step": 1940
2418
+ },
2419
+ {
2420
+ "epoch": 9.77,
2421
+ "learning_rate": 1.855108877721943e-05,
2422
+ "loss": 0.0342,
2423
+ "step": 1945
2424
+ },
2425
+ {
2426
+ "epoch": 9.8,
2427
+ "learning_rate": 1.834170854271357e-05,
2428
+ "loss": 0.0189,
2429
+ "step": 1950
2430
+ },
2431
+ {
2432
+ "epoch": 9.82,
2433
+ "learning_rate": 1.8132328308207706e-05,
2434
+ "loss": 0.0156,
2435
+ "step": 1955
2436
+ },
2437
+ {
2438
+ "epoch": 9.85,
2439
+ "learning_rate": 1.7922948073701843e-05,
2440
+ "loss": 0.0427,
2441
+ "step": 1960
2442
+ },
2443
+ {
2444
+ "epoch": 9.87,
2445
+ "learning_rate": 1.771356783919598e-05,
2446
+ "loss": 0.0321,
2447
+ "step": 1965
2448
+ },
2449
+ {
2450
+ "epoch": 9.9,
2451
+ "learning_rate": 1.7504187604690118e-05,
2452
+ "loss": 0.0995,
2453
+ "step": 1970
2454
+ },
2455
+ {
2456
+ "epoch": 9.92,
2457
+ "learning_rate": 1.7294807370184255e-05,
2458
+ "loss": 0.0029,
2459
+ "step": 1975
2460
+ },
2461
+ {
2462
+ "epoch": 9.95,
2463
+ "learning_rate": 1.7085427135678393e-05,
2464
+ "loss": 0.046,
2465
+ "step": 1980
2466
+ },
2467
+ {
2468
+ "epoch": 9.97,
2469
+ "learning_rate": 1.687604690117253e-05,
2470
+ "loss": 0.0126,
2471
+ "step": 1985
2472
+ },
2473
+ {
2474
+ "epoch": 10.0,
2475
+ "learning_rate": 1.6666666666666667e-05,
2476
+ "loss": 0.027,
2477
+ "step": 1990
2478
+ },
2479
+ {
2480
+ "epoch": 10.0,
2481
+ "eval_accuracy": 0.9886899151743638,
2482
+ "eval_loss": 0.04917723312973976,
2483
+ "eval_runtime": 97.348,
2484
+ "eval_samples_per_second": 21.798,
2485
+ "eval_steps_per_second": 2.732,
2486
+ "step": 1990
2487
+ },
2488
+ {
2489
+ "epoch": 10.03,
2490
+ "learning_rate": 1.6457286432160805e-05,
2491
+ "loss": 0.0477,
2492
+ "step": 1995
2493
+ },
2494
+ {
2495
+ "epoch": 10.05,
2496
+ "learning_rate": 1.6247906197654942e-05,
2497
+ "loss": 0.0068,
2498
+ "step": 2000
2499
+ },
2500
+ {
2501
+ "epoch": 10.08,
2502
+ "learning_rate": 1.603852596314908e-05,
2503
+ "loss": 0.0042,
2504
+ "step": 2005
2505
+ },
2506
+ {
2507
+ "epoch": 10.1,
2508
+ "learning_rate": 1.5829145728643217e-05,
2509
+ "loss": 0.0358,
2510
+ "step": 2010
2511
+ },
2512
+ {
2513
+ "epoch": 10.13,
2514
+ "learning_rate": 1.5619765494137354e-05,
2515
+ "loss": 0.0246,
2516
+ "step": 2015
2517
+ },
2518
+ {
2519
+ "epoch": 10.15,
2520
+ "learning_rate": 1.5410385259631492e-05,
2521
+ "loss": 0.1085,
2522
+ "step": 2020
2523
+ },
2524
+ {
2525
+ "epoch": 10.18,
2526
+ "learning_rate": 1.5201005025125627e-05,
2527
+ "loss": 0.1264,
2528
+ "step": 2025
2529
+ },
2530
+ {
2531
+ "epoch": 10.2,
2532
+ "learning_rate": 1.4991624790619765e-05,
2533
+ "loss": 0.0072,
2534
+ "step": 2030
2535
+ },
2536
+ {
2537
+ "epoch": 10.23,
2538
+ "learning_rate": 1.4782244556113902e-05,
2539
+ "loss": 0.0434,
2540
+ "step": 2035
2541
+ },
2542
+ {
2543
+ "epoch": 10.25,
2544
+ "learning_rate": 1.457286432160804e-05,
2545
+ "loss": 0.0197,
2546
+ "step": 2040
2547
+ },
2548
+ {
2549
+ "epoch": 10.28,
2550
+ "learning_rate": 1.4363484087102177e-05,
2551
+ "loss": 0.0204,
2552
+ "step": 2045
2553
+ },
2554
+ {
2555
+ "epoch": 10.3,
2556
+ "learning_rate": 1.4154103852596314e-05,
2557
+ "loss": 0.013,
2558
+ "step": 2050
2559
+ },
2560
+ {
2561
+ "epoch": 10.33,
2562
+ "learning_rate": 1.3944723618090452e-05,
2563
+ "loss": 0.0201,
2564
+ "step": 2055
2565
+ },
2566
+ {
2567
+ "epoch": 10.35,
2568
+ "learning_rate": 1.3735343383584589e-05,
2569
+ "loss": 0.0072,
2570
+ "step": 2060
2571
+ },
2572
+ {
2573
+ "epoch": 10.38,
2574
+ "learning_rate": 1.3525963149078726e-05,
2575
+ "loss": 0.0001,
2576
+ "step": 2065
2577
+ },
2578
+ {
2579
+ "epoch": 10.4,
2580
+ "learning_rate": 1.3316582914572864e-05,
2581
+ "loss": 0.0294,
2582
+ "step": 2070
2583
+ },
2584
+ {
2585
+ "epoch": 10.43,
2586
+ "learning_rate": 1.3107202680067001e-05,
2587
+ "loss": 0.0033,
2588
+ "step": 2075
2589
+ },
2590
+ {
2591
+ "epoch": 10.45,
2592
+ "learning_rate": 1.2897822445561139e-05,
2593
+ "loss": 0.0766,
2594
+ "step": 2080
2595
+ },
2596
+ {
2597
+ "epoch": 10.48,
2598
+ "learning_rate": 1.2688442211055276e-05,
2599
+ "loss": 0.0451,
2600
+ "step": 2085
2601
+ },
2602
+ {
2603
+ "epoch": 10.5,
2604
+ "learning_rate": 1.2479061976549413e-05,
2605
+ "loss": 0.0616,
2606
+ "step": 2090
2607
+ },
2608
+ {
2609
+ "epoch": 10.53,
2610
+ "learning_rate": 1.226968174204355e-05,
2611
+ "loss": 0.1263,
2612
+ "step": 2095
2613
+ },
2614
+ {
2615
+ "epoch": 10.55,
2616
+ "learning_rate": 1.2060301507537688e-05,
2617
+ "loss": 0.0002,
2618
+ "step": 2100
2619
+ },
2620
+ {
2621
+ "epoch": 10.58,
2622
+ "learning_rate": 1.1850921273031825e-05,
2623
+ "loss": 0.0558,
2624
+ "step": 2105
2625
+ },
2626
+ {
2627
+ "epoch": 10.6,
2628
+ "learning_rate": 1.1641541038525963e-05,
2629
+ "loss": 0.0338,
2630
+ "step": 2110
2631
+ },
2632
+ {
2633
+ "epoch": 10.63,
2634
+ "learning_rate": 1.14321608040201e-05,
2635
+ "loss": 0.0041,
2636
+ "step": 2115
2637
+ },
2638
+ {
2639
+ "epoch": 10.65,
2640
+ "learning_rate": 1.1222780569514238e-05,
2641
+ "loss": 0.0719,
2642
+ "step": 2120
2643
+ },
2644
+ {
2645
+ "epoch": 10.68,
2646
+ "learning_rate": 1.1013400335008375e-05,
2647
+ "loss": 0.0007,
2648
+ "step": 2125
2649
+ },
2650
+ {
2651
+ "epoch": 10.7,
2652
+ "learning_rate": 1.0804020100502512e-05,
2653
+ "loss": 0.0152,
2654
+ "step": 2130
2655
+ },
2656
+ {
2657
+ "epoch": 10.73,
2658
+ "learning_rate": 1.059463986599665e-05,
2659
+ "loss": 0.0001,
2660
+ "step": 2135
2661
+ },
2662
+ {
2663
+ "epoch": 10.75,
2664
+ "learning_rate": 1.0385259631490787e-05,
2665
+ "loss": 0.0068,
2666
+ "step": 2140
2667
+ },
2668
+ {
2669
+ "epoch": 10.78,
2670
+ "learning_rate": 1.0175879396984924e-05,
2671
+ "loss": 0.0001,
2672
+ "step": 2145
2673
+ },
2674
+ {
2675
+ "epoch": 10.8,
2676
+ "learning_rate": 9.966499162479062e-06,
2677
+ "loss": 0.0007,
2678
+ "step": 2150
2679
+ },
2680
+ {
2681
+ "epoch": 10.83,
2682
+ "learning_rate": 9.7571189279732e-06,
2683
+ "loss": 0.0089,
2684
+ "step": 2155
2685
+ },
2686
+ {
2687
+ "epoch": 10.85,
2688
+ "learning_rate": 9.547738693467337e-06,
2689
+ "loss": 0.0601,
2690
+ "step": 2160
2691
+ },
2692
+ {
2693
+ "epoch": 10.88,
2694
+ "learning_rate": 9.338358458961474e-06,
2695
+ "loss": 0.0024,
2696
+ "step": 2165
2697
+ },
2698
+ {
2699
+ "epoch": 10.9,
2700
+ "learning_rate": 9.128978224455611e-06,
2701
+ "loss": 0.0189,
2702
+ "step": 2170
2703
+ },
2704
+ {
2705
+ "epoch": 10.93,
2706
+ "learning_rate": 8.919597989949749e-06,
2707
+ "loss": 0.0248,
2708
+ "step": 2175
2709
+ },
2710
+ {
2711
+ "epoch": 10.95,
2712
+ "learning_rate": 8.710217755443886e-06,
2713
+ "loss": 0.0074,
2714
+ "step": 2180
2715
+ },
2716
+ {
2717
+ "epoch": 10.98,
2718
+ "learning_rate": 8.500837520938023e-06,
2719
+ "loss": 0.0081,
2720
+ "step": 2185
2721
+ },
2722
+ {
2723
+ "epoch": 11.0,
2724
+ "eval_accuracy": 0.9934024505183789,
2725
+ "eval_loss": 0.042909007519483566,
2726
+ "eval_runtime": 96.7199,
2727
+ "eval_samples_per_second": 21.94,
2728
+ "eval_steps_per_second": 2.75,
2729
+ "step": 2189
2730
+ },
2731
+ {
2732
+ "epoch": 11.01,
2733
+ "learning_rate": 8.291457286432161e-06,
2734
+ "loss": 0.0305,
2735
+ "step": 2190
2736
+ },
2737
+ {
2738
+ "epoch": 11.03,
2739
+ "learning_rate": 8.082077051926298e-06,
2740
+ "loss": 0.0284,
2741
+ "step": 2195
2742
+ },
2743
+ {
2744
+ "epoch": 11.06,
2745
+ "learning_rate": 7.872696817420436e-06,
2746
+ "loss": 0.0005,
2747
+ "step": 2200
2748
+ },
2749
+ {
2750
+ "epoch": 11.08,
2751
+ "learning_rate": 7.663316582914573e-06,
2752
+ "loss": 0.0529,
2753
+ "step": 2205
2754
+ },
2755
+ {
2756
+ "epoch": 11.11,
2757
+ "learning_rate": 7.45393634840871e-06,
2758
+ "loss": 0.0621,
2759
+ "step": 2210
2760
+ },
2761
+ {
2762
+ "epoch": 11.13,
2763
+ "learning_rate": 7.244556113902848e-06,
2764
+ "loss": 0.0046,
2765
+ "step": 2215
2766
+ },
2767
+ {
2768
+ "epoch": 11.16,
2769
+ "learning_rate": 7.035175879396985e-06,
2770
+ "loss": 0.0347,
2771
+ "step": 2220
2772
+ },
2773
+ {
2774
+ "epoch": 11.18,
2775
+ "learning_rate": 6.8257956448911225e-06,
2776
+ "loss": 0.0145,
2777
+ "step": 2225
2778
+ },
2779
+ {
2780
+ "epoch": 11.21,
2781
+ "learning_rate": 6.61641541038526e-06,
2782
+ "loss": 0.0419,
2783
+ "step": 2230
2784
+ },
2785
+ {
2786
+ "epoch": 11.23,
2787
+ "learning_rate": 6.407035175879397e-06,
2788
+ "loss": 0.0002,
2789
+ "step": 2235
2790
+ },
2791
+ {
2792
+ "epoch": 11.26,
2793
+ "learning_rate": 6.197654941373535e-06,
2794
+ "loss": 0.1263,
2795
+ "step": 2240
2796
+ },
2797
+ {
2798
+ "epoch": 11.28,
2799
+ "learning_rate": 5.988274706867672e-06,
2800
+ "loss": 0.0,
2801
+ "step": 2245
2802
+ },
2803
+ {
2804
+ "epoch": 11.31,
2805
+ "learning_rate": 5.778894472361809e-06,
2806
+ "loss": 0.0119,
2807
+ "step": 2250
2808
+ },
2809
+ {
2810
+ "epoch": 11.33,
2811
+ "learning_rate": 5.569514237855947e-06,
2812
+ "loss": 0.0169,
2813
+ "step": 2255
2814
+ },
2815
+ {
2816
+ "epoch": 11.36,
2817
+ "learning_rate": 5.360134003350084e-06,
2818
+ "loss": 0.0032,
2819
+ "step": 2260
2820
+ },
2821
+ {
2822
+ "epoch": 11.38,
2823
+ "learning_rate": 5.1507537688442215e-06,
2824
+ "loss": 0.0203,
2825
+ "step": 2265
2826
+ },
2827
+ {
2828
+ "epoch": 11.41,
2829
+ "learning_rate": 4.941373534338359e-06,
2830
+ "loss": 0.0036,
2831
+ "step": 2270
2832
+ },
2833
+ {
2834
+ "epoch": 11.43,
2835
+ "learning_rate": 4.731993299832496e-06,
2836
+ "loss": 0.0001,
2837
+ "step": 2275
2838
+ },
2839
+ {
2840
+ "epoch": 11.46,
2841
+ "learning_rate": 4.522613065326634e-06,
2842
+ "loss": 0.0614,
2843
+ "step": 2280
2844
+ },
2845
+ {
2846
+ "epoch": 11.48,
2847
+ "learning_rate": 4.313232830820771e-06,
2848
+ "loss": 0.0011,
2849
+ "step": 2285
2850
+ },
2851
+ {
2852
+ "epoch": 11.51,
2853
+ "learning_rate": 4.103852596314908e-06,
2854
+ "loss": 0.0005,
2855
+ "step": 2290
2856
+ },
2857
+ {
2858
+ "epoch": 11.53,
2859
+ "learning_rate": 3.894472361809046e-06,
2860
+ "loss": 0.0388,
2861
+ "step": 2295
2862
+ },
2863
+ {
2864
+ "epoch": 11.56,
2865
+ "learning_rate": 3.685092127303183e-06,
2866
+ "loss": 0.0013,
2867
+ "step": 2300
2868
+ },
2869
+ {
2870
+ "epoch": 11.58,
2871
+ "learning_rate": 3.4757118927973206e-06,
2872
+ "loss": 0.0673,
2873
+ "step": 2305
2874
+ },
2875
+ {
2876
+ "epoch": 11.61,
2877
+ "learning_rate": 3.2663316582914575e-06,
2878
+ "loss": 0.0255,
2879
+ "step": 2310
2880
+ },
2881
+ {
2882
+ "epoch": 11.63,
2883
+ "learning_rate": 3.056951423785595e-06,
2884
+ "loss": 0.0001,
2885
+ "step": 2315
2886
+ },
2887
+ {
2888
+ "epoch": 11.66,
2889
+ "learning_rate": 2.8475711892797323e-06,
2890
+ "loss": 0.0035,
2891
+ "step": 2320
2892
+ },
2893
+ {
2894
+ "epoch": 11.68,
2895
+ "learning_rate": 2.6381909547738696e-06,
2896
+ "loss": 0.0024,
2897
+ "step": 2325
2898
+ },
2899
+ {
2900
+ "epoch": 11.71,
2901
+ "learning_rate": 2.428810720268007e-06,
2902
+ "loss": 0.0239,
2903
+ "step": 2330
2904
+ },
2905
+ {
2906
+ "epoch": 11.73,
2907
+ "learning_rate": 2.219430485762144e-06,
2908
+ "loss": 0.0658,
2909
+ "step": 2335
2910
+ },
2911
+ {
2912
+ "epoch": 11.76,
2913
+ "learning_rate": 2.0100502512562813e-06,
2914
+ "loss": 0.023,
2915
+ "step": 2340
2916
+ },
2917
+ {
2918
+ "epoch": 11.78,
2919
+ "learning_rate": 1.800670016750419e-06,
2920
+ "loss": 0.007,
2921
+ "step": 2345
2922
+ },
2923
+ {
2924
+ "epoch": 11.81,
2925
+ "learning_rate": 1.5912897822445563e-06,
2926
+ "loss": 0.0313,
2927
+ "step": 2350
2928
+ },
2929
+ {
2930
+ "epoch": 11.83,
2931
+ "learning_rate": 1.3819095477386937e-06,
2932
+ "loss": 0.0003,
2933
+ "step": 2355
2934
+ },
2935
+ {
2936
+ "epoch": 11.86,
2937
+ "learning_rate": 1.1725293132328309e-06,
2938
+ "loss": 0.0013,
2939
+ "step": 2360
2940
+ },
2941
+ {
2942
+ "epoch": 11.88,
2943
+ "learning_rate": 9.631490787269682e-07,
2944
+ "loss": 0.0002,
2945
+ "step": 2365
2946
+ },
2947
+ {
2948
+ "epoch": 11.91,
2949
+ "learning_rate": 7.537688442211055e-07,
2950
+ "loss": 0.0004,
2951
+ "step": 2370
2952
+ },
2953
+ {
2954
+ "epoch": 11.93,
2955
+ "learning_rate": 5.443886097152429e-07,
2956
+ "loss": 0.0062,
2957
+ "step": 2375
2958
+ },
2959
+ {
2960
+ "epoch": 11.96,
2961
+ "learning_rate": 3.3500837520938026e-07,
2962
+ "loss": 0.0679,
2963
+ "step": 2380
2964
+ },
2965
+ {
2966
+ "epoch": 11.98,
2967
+ "learning_rate": 1.2562814070351758e-07,
2968
+ "loss": 0.011,
2969
+ "step": 2385
2970
+ },
2971
+ {
2972
+ "epoch": 12.0,
2973
+ "eval_accuracy": 0.9952874646559849,
2974
+ "eval_loss": 0.028855981305241585,
2975
+ "eval_runtime": 96.7752,
2976
+ "eval_samples_per_second": 21.927,
2977
+ "eval_steps_per_second": 2.749,
2978
+ "step": 2388
2979
+ },
2980
+ {
2981
+ "epoch": 12.0,
2982
+ "step": 2388,
2983
+ "total_flos": 1.7585593436847735e+19,
2984
+ "train_loss": 0.12460444932776456,
2985
+ "train_runtime": 13102.8342,
2986
+ "train_samples_per_second": 5.828,
2987
+ "train_steps_per_second": 0.182
2988
+ }
2989
+ ],
2990
+ "max_steps": 2388,
2991
+ "num_train_epochs": 12,
2992
+ "total_flos": 1.7585593436847735e+19,
2993
+ "trial_name": null,
2994
+ "trial_params": null
2995
+ }