ghofrani commited on
Commit
6e66041
1 Parent(s): 089dc6d

End of training

Browse files
Files changed (4) hide show
  1. all_results.json +14 -0
  2. eval_results.json +9 -0
  3. train_results.json +8 -0
  4. trainer_state.json +3115 -0
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 100.0,
3
+ "eval_loss": 0.3502330183982849,
4
+ "eval_runtime": 245.1864,
5
+ "eval_samples": 5212,
6
+ "eval_samples_per_second": 21.257,
7
+ "eval_steps_per_second": 1.33,
8
+ "eval_wer": 0.35502681314104234,
9
+ "train_loss": 0.9013227667808533,
10
+ "train_runtime": 60806.5864,
11
+ "train_samples": 12806,
12
+ "train_samples_per_second": 21.06,
13
+ "train_steps_per_second": 0.082
14
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 100.0,
3
+ "eval_loss": 0.3502330183982849,
4
+ "eval_runtime": 245.1864,
5
+ "eval_samples": 5212,
6
+ "eval_samples_per_second": 21.257,
7
+ "eval_steps_per_second": 1.33,
8
+ "eval_wer": 0.35502681314104234
9
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 100.0,
3
+ "train_loss": 0.9013227667808533,
4
+ "train_runtime": 60806.5864,
5
+ "train_samples": 12806,
6
+ "train_samples_per_second": 21.06,
7
+ "train_steps_per_second": 0.082
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,3115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 99.99750623441396,
5
+ "global_step": 5000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.2,
12
+ "learning_rate": 6e-06,
13
+ "loss": 1.0901,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.4,
18
+ "learning_rate": 1.2e-05,
19
+ "loss": 1.0728,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.6,
24
+ "learning_rate": 1.8e-05,
25
+ "loss": 1.0838,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.8,
30
+ "learning_rate": 2.4e-05,
31
+ "loss": 1.0591,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 1.0,
36
+ "learning_rate": 3e-05,
37
+ "loss": 1.0419,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 1.2,
42
+ "learning_rate": 3.6e-05,
43
+ "loss": 1.0973,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 1.4,
48
+ "learning_rate": 4.2e-05,
49
+ "loss": 1.07,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 1.6,
54
+ "learning_rate": 4.8e-05,
55
+ "loss": 1.0816,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 1.8,
60
+ "learning_rate": 5.4000000000000005e-05,
61
+ "loss": 1.0822,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 2.0,
66
+ "learning_rate": 6e-05,
67
+ "loss": 1.0825,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 2.2,
72
+ "learning_rate": 5.9877551020408165e-05,
73
+ "loss": 1.1134,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 2.4,
78
+ "learning_rate": 5.975510204081633e-05,
79
+ "loss": 1.1079,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 2.6,
84
+ "learning_rate": 5.963265306122449e-05,
85
+ "loss": 1.1017,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 2.8,
90
+ "learning_rate": 5.9510204081632654e-05,
91
+ "loss": 1.1001,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 3.0,
96
+ "learning_rate": 5.938775510204082e-05,
97
+ "loss": 1.0689,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 3.2,
102
+ "learning_rate": 5.926530612244898e-05,
103
+ "loss": 1.1165,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 3.4,
108
+ "learning_rate": 5.914285714285715e-05,
109
+ "loss": 1.0812,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 3.6,
114
+ "learning_rate": 5.9020408163265306e-05,
115
+ "loss": 1.0963,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 3.8,
120
+ "learning_rate": 5.889795918367347e-05,
121
+ "loss": 1.0757,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 4.0,
126
+ "learning_rate": 5.877551020408163e-05,
127
+ "loss": 1.0759,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 4.2,
132
+ "learning_rate": 5.8653061224489795e-05,
133
+ "loss": 1.1081,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 4.4,
138
+ "learning_rate": 5.8530612244897965e-05,
139
+ "loss": 1.0893,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 4.6,
144
+ "learning_rate": 5.840816326530613e-05,
145
+ "loss": 1.0849,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 4.8,
150
+ "learning_rate": 5.8285714285714284e-05,
151
+ "loss": 1.0753,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 5.0,
156
+ "learning_rate": 5.816326530612245e-05,
157
+ "loss": 1.0611,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 5.2,
162
+ "learning_rate": 5.804081632653062e-05,
163
+ "loss": 1.0977,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 5.4,
168
+ "learning_rate": 5.791836734693878e-05,
169
+ "loss": 1.0702,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 5.6,
174
+ "learning_rate": 5.779591836734694e-05,
175
+ "loss": 1.0886,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 5.8,
180
+ "learning_rate": 5.76734693877551e-05,
181
+ "loss": 1.073,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 6.0,
186
+ "learning_rate": 5.755102040816326e-05,
187
+ "loss": 1.0663,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 6.2,
192
+ "learning_rate": 5.742857142857143e-05,
193
+ "loss": 1.0989,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 6.4,
198
+ "learning_rate": 5.7306122448979596e-05,
199
+ "loss": 1.0773,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 6.6,
204
+ "learning_rate": 5.718367346938776e-05,
205
+ "loss": 1.0682,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 6.8,
210
+ "learning_rate": 5.7061224489795915e-05,
211
+ "loss": 1.0759,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 7.0,
216
+ "learning_rate": 5.6938775510204085e-05,
217
+ "loss": 1.0497,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 7.2,
222
+ "learning_rate": 5.681632653061225e-05,
223
+ "loss": 1.0923,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 7.4,
228
+ "learning_rate": 5.669387755102041e-05,
229
+ "loss": 1.0503,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 7.6,
234
+ "learning_rate": 5.6571428571428574e-05,
235
+ "loss": 1.0539,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 7.8,
240
+ "learning_rate": 5.644897959183674e-05,
241
+ "loss": 1.0693,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 8.0,
246
+ "learning_rate": 5.63265306122449e-05,
247
+ "loss": 1.0338,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 8.2,
252
+ "learning_rate": 5.620408163265306e-05,
253
+ "loss": 1.0612,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 8.4,
258
+ "learning_rate": 5.6081632653061226e-05,
259
+ "loss": 1.0647,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 8.6,
264
+ "learning_rate": 5.595918367346939e-05,
265
+ "loss": 1.064,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 8.8,
270
+ "learning_rate": 5.583673469387755e-05,
271
+ "loss": 1.0591,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 9.0,
276
+ "learning_rate": 5.5714285714285715e-05,
277
+ "loss": 1.0207,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 9.2,
282
+ "learning_rate": 5.559183673469388e-05,
283
+ "loss": 1.0733,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 9.4,
288
+ "learning_rate": 5.546938775510204e-05,
289
+ "loss": 1.0442,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 9.6,
294
+ "learning_rate": 5.5346938775510204e-05,
295
+ "loss": 1.0697,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 9.8,
300
+ "learning_rate": 5.5224489795918374e-05,
301
+ "loss": 1.0628,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 10.0,
306
+ "learning_rate": 5.510204081632653e-05,
307
+ "loss": 1.0344,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 10.0,
312
+ "eval_loss": 0.40431472659111023,
313
+ "eval_runtime": 247.681,
314
+ "eval_samples_per_second": 21.043,
315
+ "eval_steps_per_second": 1.316,
316
+ "eval_wer": 0.451111573905347,
317
+ "step": 500
318
+ },
319
+ {
320
+ "epoch": 10.2,
321
+ "learning_rate": 5.4979591836734694e-05,
322
+ "loss": 1.0725,
323
+ "step": 510
324
+ },
325
+ {
326
+ "epoch": 10.4,
327
+ "learning_rate": 5.4857142857142857e-05,
328
+ "loss": 1.0514,
329
+ "step": 520
330
+ },
331
+ {
332
+ "epoch": 10.6,
333
+ "learning_rate": 5.473469387755102e-05,
334
+ "loss": 1.0477,
335
+ "step": 530
336
+ },
337
+ {
338
+ "epoch": 10.8,
339
+ "learning_rate": 5.461224489795919e-05,
340
+ "loss": 1.0551,
341
+ "step": 540
342
+ },
343
+ {
344
+ "epoch": 11.0,
345
+ "learning_rate": 5.4489795918367346e-05,
346
+ "loss": 1.0322,
347
+ "step": 550
348
+ },
349
+ {
350
+ "epoch": 11.2,
351
+ "learning_rate": 5.436734693877551e-05,
352
+ "loss": 1.0435,
353
+ "step": 560
354
+ },
355
+ {
356
+ "epoch": 11.4,
357
+ "learning_rate": 5.424489795918367e-05,
358
+ "loss": 1.0594,
359
+ "step": 570
360
+ },
361
+ {
362
+ "epoch": 11.6,
363
+ "learning_rate": 5.412244897959184e-05,
364
+ "loss": 1.0419,
365
+ "step": 580
366
+ },
367
+ {
368
+ "epoch": 11.8,
369
+ "learning_rate": 5.4000000000000005e-05,
370
+ "loss": 1.0291,
371
+ "step": 590
372
+ },
373
+ {
374
+ "epoch": 12.0,
375
+ "learning_rate": 5.387755102040817e-05,
376
+ "loss": 1.0314,
377
+ "step": 600
378
+ },
379
+ {
380
+ "epoch": 12.2,
381
+ "learning_rate": 5.3755102040816324e-05,
382
+ "loss": 1.0598,
383
+ "step": 610
384
+ },
385
+ {
386
+ "epoch": 12.4,
387
+ "learning_rate": 5.363265306122449e-05,
388
+ "loss": 1.0412,
389
+ "step": 620
390
+ },
391
+ {
392
+ "epoch": 12.6,
393
+ "learning_rate": 5.351020408163266e-05,
394
+ "loss": 1.0483,
395
+ "step": 630
396
+ },
397
+ {
398
+ "epoch": 12.8,
399
+ "learning_rate": 5.338775510204082e-05,
400
+ "loss": 1.0448,
401
+ "step": 640
402
+ },
403
+ {
404
+ "epoch": 13.0,
405
+ "learning_rate": 5.326530612244898e-05,
406
+ "loss": 0.9938,
407
+ "step": 650
408
+ },
409
+ {
410
+ "epoch": 13.2,
411
+ "learning_rate": 5.314285714285714e-05,
412
+ "loss": 1.053,
413
+ "step": 660
414
+ },
415
+ {
416
+ "epoch": 13.4,
417
+ "learning_rate": 5.302040816326531e-05,
418
+ "loss": 1.0178,
419
+ "step": 670
420
+ },
421
+ {
422
+ "epoch": 13.6,
423
+ "learning_rate": 5.289795918367347e-05,
424
+ "loss": 1.0174,
425
+ "step": 680
426
+ },
427
+ {
428
+ "epoch": 13.8,
429
+ "learning_rate": 5.2775510204081635e-05,
430
+ "loss": 1.0231,
431
+ "step": 690
432
+ },
433
+ {
434
+ "epoch": 14.0,
435
+ "learning_rate": 5.26530612244898e-05,
436
+ "loss": 1.0033,
437
+ "step": 700
438
+ },
439
+ {
440
+ "epoch": 14.2,
441
+ "learning_rate": 5.2530612244897955e-05,
442
+ "loss": 1.0444,
443
+ "step": 710
444
+ },
445
+ {
446
+ "epoch": 14.4,
447
+ "learning_rate": 5.2408163265306124e-05,
448
+ "loss": 0.9893,
449
+ "step": 720
450
+ },
451
+ {
452
+ "epoch": 14.6,
453
+ "learning_rate": 5.228571428571429e-05,
454
+ "loss": 1.0216,
455
+ "step": 730
456
+ },
457
+ {
458
+ "epoch": 14.8,
459
+ "learning_rate": 5.216326530612245e-05,
460
+ "loss": 1.0247,
461
+ "step": 740
462
+ },
463
+ {
464
+ "epoch": 15.0,
465
+ "learning_rate": 5.2040816326530614e-05,
466
+ "loss": 1.0022,
467
+ "step": 750
468
+ },
469
+ {
470
+ "epoch": 15.2,
471
+ "learning_rate": 5.191836734693878e-05,
472
+ "loss": 1.032,
473
+ "step": 760
474
+ },
475
+ {
476
+ "epoch": 15.4,
477
+ "learning_rate": 5.179591836734694e-05,
478
+ "loss": 0.9963,
479
+ "step": 770
480
+ },
481
+ {
482
+ "epoch": 15.6,
483
+ "learning_rate": 5.16734693877551e-05,
484
+ "loss": 0.9952,
485
+ "step": 780
486
+ },
487
+ {
488
+ "epoch": 15.8,
489
+ "learning_rate": 5.1551020408163266e-05,
490
+ "loss": 1.0021,
491
+ "step": 790
492
+ },
493
+ {
494
+ "epoch": 16.0,
495
+ "learning_rate": 5.142857142857143e-05,
496
+ "loss": 1.0134,
497
+ "step": 800
498
+ },
499
+ {
500
+ "epoch": 16.2,
501
+ "learning_rate": 5.13061224489796e-05,
502
+ "loss": 1.0319,
503
+ "step": 810
504
+ },
505
+ {
506
+ "epoch": 16.4,
507
+ "learning_rate": 5.1183673469387755e-05,
508
+ "loss": 0.9963,
509
+ "step": 820
510
+ },
511
+ {
512
+ "epoch": 16.6,
513
+ "learning_rate": 5.106122448979592e-05,
514
+ "loss": 0.9966,
515
+ "step": 830
516
+ },
517
+ {
518
+ "epoch": 16.8,
519
+ "learning_rate": 5.093877551020408e-05,
520
+ "loss": 1.0023,
521
+ "step": 840
522
+ },
523
+ {
524
+ "epoch": 17.0,
525
+ "learning_rate": 5.081632653061225e-05,
526
+ "loss": 0.9739,
527
+ "step": 850
528
+ },
529
+ {
530
+ "epoch": 17.2,
531
+ "learning_rate": 5.0693877551020414e-05,
532
+ "loss": 1.0182,
533
+ "step": 860
534
+ },
535
+ {
536
+ "epoch": 17.4,
537
+ "learning_rate": 5.057142857142857e-05,
538
+ "loss": 0.9884,
539
+ "step": 870
540
+ },
541
+ {
542
+ "epoch": 17.6,
543
+ "learning_rate": 5.044897959183673e-05,
544
+ "loss": 0.9623,
545
+ "step": 880
546
+ },
547
+ {
548
+ "epoch": 17.8,
549
+ "learning_rate": 5.0326530612244896e-05,
550
+ "loss": 1.0061,
551
+ "step": 890
552
+ },
553
+ {
554
+ "epoch": 18.0,
555
+ "learning_rate": 5.0204081632653066e-05,
556
+ "loss": 0.9684,
557
+ "step": 900
558
+ },
559
+ {
560
+ "epoch": 18.2,
561
+ "learning_rate": 5.008163265306123e-05,
562
+ "loss": 1.0066,
563
+ "step": 910
564
+ },
565
+ {
566
+ "epoch": 18.4,
567
+ "learning_rate": 4.9959183673469386e-05,
568
+ "loss": 0.9779,
569
+ "step": 920
570
+ },
571
+ {
572
+ "epoch": 18.6,
573
+ "learning_rate": 4.983673469387755e-05,
574
+ "loss": 0.9784,
575
+ "step": 930
576
+ },
577
+ {
578
+ "epoch": 18.8,
579
+ "learning_rate": 4.971428571428572e-05,
580
+ "loss": 0.9869,
581
+ "step": 940
582
+ },
583
+ {
584
+ "epoch": 19.0,
585
+ "learning_rate": 4.959183673469388e-05,
586
+ "loss": 0.9561,
587
+ "step": 950
588
+ },
589
+ {
590
+ "epoch": 19.2,
591
+ "learning_rate": 4.9469387755102045e-05,
592
+ "loss": 1.0003,
593
+ "step": 960
594
+ },
595
+ {
596
+ "epoch": 19.4,
597
+ "learning_rate": 4.93469387755102e-05,
598
+ "loss": 0.9838,
599
+ "step": 970
600
+ },
601
+ {
602
+ "epoch": 19.6,
603
+ "learning_rate": 4.9224489795918364e-05,
604
+ "loss": 0.9969,
605
+ "step": 980
606
+ },
607
+ {
608
+ "epoch": 19.8,
609
+ "learning_rate": 4.9102040816326534e-05,
610
+ "loss": 1.0037,
611
+ "step": 990
612
+ },
613
+ {
614
+ "epoch": 20.0,
615
+ "learning_rate": 4.89795918367347e-05,
616
+ "loss": 0.9651,
617
+ "step": 1000
618
+ },
619
+ {
620
+ "epoch": 20.0,
621
+ "eval_loss": 0.3793290853500366,
622
+ "eval_runtime": 244.7376,
623
+ "eval_samples_per_second": 21.296,
624
+ "eval_steps_per_second": 1.332,
625
+ "eval_wer": 0.4159421044410892,
626
+ "step": 1000
627
+ },
628
+ {
629
+ "epoch": 20.2,
630
+ "learning_rate": 4.885714285714286e-05,
631
+ "loss": 1.0027,
632
+ "step": 1010
633
+ },
634
+ {
635
+ "epoch": 20.4,
636
+ "learning_rate": 4.873469387755102e-05,
637
+ "loss": 0.9598,
638
+ "step": 1020
639
+ },
640
+ {
641
+ "epoch": 20.6,
642
+ "learning_rate": 4.862448979591836e-05,
643
+ "loss": 0.979,
644
+ "step": 1030
645
+ },
646
+ {
647
+ "epoch": 20.8,
648
+ "learning_rate": 4.850204081632653e-05,
649
+ "loss": 0.9886,
650
+ "step": 1040
651
+ },
652
+ {
653
+ "epoch": 21.0,
654
+ "learning_rate": 4.8379591836734696e-05,
655
+ "loss": 0.9584,
656
+ "step": 1050
657
+ },
658
+ {
659
+ "epoch": 21.2,
660
+ "learning_rate": 4.825714285714286e-05,
661
+ "loss": 0.984,
662
+ "step": 1060
663
+ },
664
+ {
665
+ "epoch": 21.4,
666
+ "learning_rate": 4.813469387755102e-05,
667
+ "loss": 0.9586,
668
+ "step": 1070
669
+ },
670
+ {
671
+ "epoch": 21.6,
672
+ "learning_rate": 4.8012244897959185e-05,
673
+ "loss": 0.9669,
674
+ "step": 1080
675
+ },
676
+ {
677
+ "epoch": 21.8,
678
+ "learning_rate": 4.788979591836735e-05,
679
+ "loss": 0.9629,
680
+ "step": 1090
681
+ },
682
+ {
683
+ "epoch": 22.0,
684
+ "learning_rate": 4.776734693877551e-05,
685
+ "loss": 0.9468,
686
+ "step": 1100
687
+ },
688
+ {
689
+ "epoch": 22.2,
690
+ "learning_rate": 4.7644897959183674e-05,
691
+ "loss": 1.0055,
692
+ "step": 1110
693
+ },
694
+ {
695
+ "epoch": 22.4,
696
+ "learning_rate": 4.752244897959184e-05,
697
+ "loss": 0.9698,
698
+ "step": 1120
699
+ },
700
+ {
701
+ "epoch": 22.6,
702
+ "learning_rate": 4.74e-05,
703
+ "loss": 0.9557,
704
+ "step": 1130
705
+ },
706
+ {
707
+ "epoch": 22.8,
708
+ "learning_rate": 4.727755102040816e-05,
709
+ "loss": 0.9648,
710
+ "step": 1140
711
+ },
712
+ {
713
+ "epoch": 23.0,
714
+ "learning_rate": 4.7155102040816326e-05,
715
+ "loss": 0.9681,
716
+ "step": 1150
717
+ },
718
+ {
719
+ "epoch": 23.2,
720
+ "learning_rate": 4.703265306122449e-05,
721
+ "loss": 0.995,
722
+ "step": 1160
723
+ },
724
+ {
725
+ "epoch": 23.4,
726
+ "learning_rate": 4.691020408163266e-05,
727
+ "loss": 0.9415,
728
+ "step": 1170
729
+ },
730
+ {
731
+ "epoch": 23.6,
732
+ "learning_rate": 4.678775510204082e-05,
733
+ "loss": 0.955,
734
+ "step": 1180
735
+ },
736
+ {
737
+ "epoch": 23.8,
738
+ "learning_rate": 4.666530612244898e-05,
739
+ "loss": 0.9647,
740
+ "step": 1190
741
+ },
742
+ {
743
+ "epoch": 24.0,
744
+ "learning_rate": 4.654285714285714e-05,
745
+ "loss": 0.9572,
746
+ "step": 1200
747
+ },
748
+ {
749
+ "epoch": 24.2,
750
+ "learning_rate": 4.6420408163265305e-05,
751
+ "loss": 1.0043,
752
+ "step": 1210
753
+ },
754
+ {
755
+ "epoch": 24.4,
756
+ "learning_rate": 4.6297959183673474e-05,
757
+ "loss": 0.9545,
758
+ "step": 1220
759
+ },
760
+ {
761
+ "epoch": 24.6,
762
+ "learning_rate": 4.617551020408164e-05,
763
+ "loss": 0.9603,
764
+ "step": 1230
765
+ },
766
+ {
767
+ "epoch": 24.8,
768
+ "learning_rate": 4.6053061224489794e-05,
769
+ "loss": 0.9563,
770
+ "step": 1240
771
+ },
772
+ {
773
+ "epoch": 25.0,
774
+ "learning_rate": 4.593061224489796e-05,
775
+ "loss": 0.939,
776
+ "step": 1250
777
+ },
778
+ {
779
+ "epoch": 25.2,
780
+ "learning_rate": 4.580816326530613e-05,
781
+ "loss": 0.9755,
782
+ "step": 1260
783
+ },
784
+ {
785
+ "epoch": 25.4,
786
+ "learning_rate": 4.568571428571429e-05,
787
+ "loss": 0.9619,
788
+ "step": 1270
789
+ },
790
+ {
791
+ "epoch": 25.6,
792
+ "learning_rate": 4.556326530612245e-05,
793
+ "loss": 0.951,
794
+ "step": 1280
795
+ },
796
+ {
797
+ "epoch": 25.8,
798
+ "learning_rate": 4.544081632653061e-05,
799
+ "loss": 0.9442,
800
+ "step": 1290
801
+ },
802
+ {
803
+ "epoch": 26.0,
804
+ "learning_rate": 4.531836734693877e-05,
805
+ "loss": 0.9448,
806
+ "step": 1300
807
+ },
808
+ {
809
+ "epoch": 26.2,
810
+ "learning_rate": 4.519591836734694e-05,
811
+ "loss": 0.984,
812
+ "step": 1310
813
+ },
814
+ {
815
+ "epoch": 26.4,
816
+ "learning_rate": 4.5073469387755105e-05,
817
+ "loss": 0.9407,
818
+ "step": 1320
819
+ },
820
+ {
821
+ "epoch": 26.6,
822
+ "learning_rate": 4.495102040816327e-05,
823
+ "loss": 0.9506,
824
+ "step": 1330
825
+ },
826
+ {
827
+ "epoch": 26.8,
828
+ "learning_rate": 4.4828571428571424e-05,
829
+ "loss": 0.9393,
830
+ "step": 1340
831
+ },
832
+ {
833
+ "epoch": 27.0,
834
+ "learning_rate": 4.4706122448979594e-05,
835
+ "loss": 0.9513,
836
+ "step": 1350
837
+ },
838
+ {
839
+ "epoch": 27.2,
840
+ "learning_rate": 4.458367346938776e-05,
841
+ "loss": 0.9636,
842
+ "step": 1360
843
+ },
844
+ {
845
+ "epoch": 27.4,
846
+ "learning_rate": 4.446122448979592e-05,
847
+ "loss": 0.9441,
848
+ "step": 1370
849
+ },
850
+ {
851
+ "epoch": 27.6,
852
+ "learning_rate": 4.433877551020408e-05,
853
+ "loss": 0.9476,
854
+ "step": 1380
855
+ },
856
+ {
857
+ "epoch": 27.8,
858
+ "learning_rate": 4.4216326530612246e-05,
859
+ "loss": 0.9438,
860
+ "step": 1390
861
+ },
862
+ {
863
+ "epoch": 28.0,
864
+ "learning_rate": 4.409387755102041e-05,
865
+ "loss": 0.9376,
866
+ "step": 1400
867
+ },
868
+ {
869
+ "epoch": 28.2,
870
+ "learning_rate": 4.397142857142857e-05,
871
+ "loss": 0.9699,
872
+ "step": 1410
873
+ },
874
+ {
875
+ "epoch": 28.4,
876
+ "learning_rate": 4.3848979591836736e-05,
877
+ "loss": 0.9719,
878
+ "step": 1420
879
+ },
880
+ {
881
+ "epoch": 28.6,
882
+ "learning_rate": 4.37265306122449e-05,
883
+ "loss": 0.9481,
884
+ "step": 1430
885
+ },
886
+ {
887
+ "epoch": 28.8,
888
+ "learning_rate": 4.360408163265307e-05,
889
+ "loss": 0.9495,
890
+ "step": 1440
891
+ },
892
+ {
893
+ "epoch": 29.0,
894
+ "learning_rate": 4.3481632653061225e-05,
895
+ "loss": 0.9208,
896
+ "step": 1450
897
+ },
898
+ {
899
+ "epoch": 29.2,
900
+ "learning_rate": 4.335918367346939e-05,
901
+ "loss": 0.9725,
902
+ "step": 1460
903
+ },
904
+ {
905
+ "epoch": 29.4,
906
+ "learning_rate": 4.323673469387755e-05,
907
+ "loss": 0.9317,
908
+ "step": 1470
909
+ },
910
+ {
911
+ "epoch": 29.6,
912
+ "learning_rate": 4.3114285714285714e-05,
913
+ "loss": 0.9402,
914
+ "step": 1480
915
+ },
916
+ {
917
+ "epoch": 29.8,
918
+ "learning_rate": 4.2991836734693884e-05,
919
+ "loss": 0.9431,
920
+ "step": 1490
921
+ },
922
+ {
923
+ "epoch": 30.0,
924
+ "learning_rate": 4.286938775510204e-05,
925
+ "loss": 0.9125,
926
+ "step": 1500
927
+ },
928
+ {
929
+ "epoch": 30.0,
930
+ "eval_loss": 0.3755570352077484,
931
+ "eval_runtime": 246.7652,
932
+ "eval_samples_per_second": 21.121,
933
+ "eval_steps_per_second": 1.321,
934
+ "eval_wer": 0.4046441401572343,
935
+ "step": 1500
936
+ },
937
+ {
938
+ "epoch": 30.2,
939
+ "learning_rate": 4.27469387755102e-05,
940
+ "loss": 0.9531,
941
+ "step": 1510
942
+ },
943
+ {
944
+ "epoch": 30.4,
945
+ "learning_rate": 4.2624489795918366e-05,
946
+ "loss": 0.9172,
947
+ "step": 1520
948
+ },
949
+ {
950
+ "epoch": 30.6,
951
+ "learning_rate": 4.250204081632653e-05,
952
+ "loss": 0.9438,
953
+ "step": 1530
954
+ },
955
+ {
956
+ "epoch": 30.8,
957
+ "learning_rate": 4.23795918367347e-05,
958
+ "loss": 0.9405,
959
+ "step": 1540
960
+ },
961
+ {
962
+ "epoch": 31.0,
963
+ "learning_rate": 4.2257142857142855e-05,
964
+ "loss": 0.9209,
965
+ "step": 1550
966
+ },
967
+ {
968
+ "epoch": 31.2,
969
+ "learning_rate": 4.213469387755102e-05,
970
+ "loss": 0.9827,
971
+ "step": 1560
972
+ },
973
+ {
974
+ "epoch": 31.4,
975
+ "learning_rate": 4.201224489795918e-05,
976
+ "loss": 0.9163,
977
+ "step": 1570
978
+ },
979
+ {
980
+ "epoch": 31.6,
981
+ "learning_rate": 4.188979591836735e-05,
982
+ "loss": 0.9175,
983
+ "step": 1580
984
+ },
985
+ {
986
+ "epoch": 31.8,
987
+ "learning_rate": 4.1767346938775514e-05,
988
+ "loss": 0.9288,
989
+ "step": 1590
990
+ },
991
+ {
992
+ "epoch": 32.0,
993
+ "learning_rate": 4.164489795918368e-05,
994
+ "loss": 0.8951,
995
+ "step": 1600
996
+ },
997
+ {
998
+ "epoch": 32.2,
999
+ "learning_rate": 4.1522448979591834e-05,
1000
+ "loss": 0.9582,
1001
+ "step": 1610
1002
+ },
1003
+ {
1004
+ "epoch": 32.4,
1005
+ "learning_rate": 4.14e-05,
1006
+ "loss": 0.9183,
1007
+ "step": 1620
1008
+ },
1009
+ {
1010
+ "epoch": 32.6,
1011
+ "learning_rate": 4.1277551020408166e-05,
1012
+ "loss": 0.9113,
1013
+ "step": 1630
1014
+ },
1015
+ {
1016
+ "epoch": 32.8,
1017
+ "learning_rate": 4.115510204081633e-05,
1018
+ "loss": 0.9305,
1019
+ "step": 1640
1020
+ },
1021
+ {
1022
+ "epoch": 33.0,
1023
+ "learning_rate": 4.103265306122449e-05,
1024
+ "loss": 0.9159,
1025
+ "step": 1650
1026
+ },
1027
+ {
1028
+ "epoch": 33.2,
1029
+ "learning_rate": 4.091020408163265e-05,
1030
+ "loss": 0.9706,
1031
+ "step": 1660
1032
+ },
1033
+ {
1034
+ "epoch": 33.4,
1035
+ "learning_rate": 4.078775510204082e-05,
1036
+ "loss": 0.9359,
1037
+ "step": 1670
1038
+ },
1039
+ {
1040
+ "epoch": 33.6,
1041
+ "learning_rate": 4.066530612244898e-05,
1042
+ "loss": 0.916,
1043
+ "step": 1680
1044
+ },
1045
+ {
1046
+ "epoch": 33.8,
1047
+ "learning_rate": 4.0542857142857145e-05,
1048
+ "loss": 0.9333,
1049
+ "step": 1690
1050
+ },
1051
+ {
1052
+ "epoch": 34.0,
1053
+ "learning_rate": 4.042040816326531e-05,
1054
+ "loss": 0.892,
1055
+ "step": 1700
1056
+ },
1057
+ {
1058
+ "epoch": 34.2,
1059
+ "learning_rate": 4.0297959183673464e-05,
1060
+ "loss": 0.9556,
1061
+ "step": 1710
1062
+ },
1063
+ {
1064
+ "epoch": 34.4,
1065
+ "learning_rate": 4.0175510204081634e-05,
1066
+ "loss": 0.8906,
1067
+ "step": 1720
1068
+ },
1069
+ {
1070
+ "epoch": 34.6,
1071
+ "learning_rate": 4.00530612244898e-05,
1072
+ "loss": 0.9183,
1073
+ "step": 1730
1074
+ },
1075
+ {
1076
+ "epoch": 34.8,
1077
+ "learning_rate": 3.993061224489796e-05,
1078
+ "loss": 0.9262,
1079
+ "step": 1740
1080
+ },
1081
+ {
1082
+ "epoch": 35.0,
1083
+ "learning_rate": 3.980816326530612e-05,
1084
+ "loss": 0.9276,
1085
+ "step": 1750
1086
+ },
1087
+ {
1088
+ "epoch": 35.2,
1089
+ "learning_rate": 3.968571428571429e-05,
1090
+ "loss": 0.9383,
1091
+ "step": 1760
1092
+ },
1093
+ {
1094
+ "epoch": 35.4,
1095
+ "learning_rate": 3.956326530612245e-05,
1096
+ "loss": 0.9247,
1097
+ "step": 1770
1098
+ },
1099
+ {
1100
+ "epoch": 35.6,
1101
+ "learning_rate": 3.944081632653061e-05,
1102
+ "loss": 0.9339,
1103
+ "step": 1780
1104
+ },
1105
+ {
1106
+ "epoch": 35.8,
1107
+ "learning_rate": 3.9318367346938775e-05,
1108
+ "loss": 0.8878,
1109
+ "step": 1790
1110
+ },
1111
+ {
1112
+ "epoch": 36.0,
1113
+ "learning_rate": 3.919591836734694e-05,
1114
+ "loss": 0.9035,
1115
+ "step": 1800
1116
+ },
1117
+ {
1118
+ "epoch": 36.2,
1119
+ "learning_rate": 3.907346938775511e-05,
1120
+ "loss": 0.9587,
1121
+ "step": 1810
1122
+ },
1123
+ {
1124
+ "epoch": 36.4,
1125
+ "learning_rate": 3.8951020408163265e-05,
1126
+ "loss": 0.8989,
1127
+ "step": 1820
1128
+ },
1129
+ {
1130
+ "epoch": 36.6,
1131
+ "learning_rate": 3.882857142857143e-05,
1132
+ "loss": 0.922,
1133
+ "step": 1830
1134
+ },
1135
+ {
1136
+ "epoch": 36.8,
1137
+ "learning_rate": 3.870612244897959e-05,
1138
+ "loss": 0.9278,
1139
+ "step": 1840
1140
+ },
1141
+ {
1142
+ "epoch": 37.0,
1143
+ "learning_rate": 3.858367346938776e-05,
1144
+ "loss": 0.8979,
1145
+ "step": 1850
1146
+ },
1147
+ {
1148
+ "epoch": 37.2,
1149
+ "learning_rate": 3.8461224489795924e-05,
1150
+ "loss": 0.9302,
1151
+ "step": 1860
1152
+ },
1153
+ {
1154
+ "epoch": 37.4,
1155
+ "learning_rate": 3.833877551020408e-05,
1156
+ "loss": 0.9078,
1157
+ "step": 1870
1158
+ },
1159
+ {
1160
+ "epoch": 37.6,
1161
+ "learning_rate": 3.821632653061224e-05,
1162
+ "loss": 0.919,
1163
+ "step": 1880
1164
+ },
1165
+ {
1166
+ "epoch": 37.8,
1167
+ "learning_rate": 3.8093877551020406e-05,
1168
+ "loss": 0.9152,
1169
+ "step": 1890
1170
+ },
1171
+ {
1172
+ "epoch": 38.0,
1173
+ "learning_rate": 3.7971428571428576e-05,
1174
+ "loss": 0.8914,
1175
+ "step": 1900
1176
+ },
1177
+ {
1178
+ "epoch": 38.2,
1179
+ "learning_rate": 3.784897959183674e-05,
1180
+ "loss": 0.9297,
1181
+ "step": 1910
1182
+ },
1183
+ {
1184
+ "epoch": 38.4,
1185
+ "learning_rate": 3.7726530612244895e-05,
1186
+ "loss": 0.9091,
1187
+ "step": 1920
1188
+ },
1189
+ {
1190
+ "epoch": 38.6,
1191
+ "learning_rate": 3.760408163265306e-05,
1192
+ "loss": 0.9085,
1193
+ "step": 1930
1194
+ },
1195
+ {
1196
+ "epoch": 38.8,
1197
+ "learning_rate": 3.748163265306123e-05,
1198
+ "loss": 0.9078,
1199
+ "step": 1940
1200
+ },
1201
+ {
1202
+ "epoch": 39.0,
1203
+ "learning_rate": 3.735918367346939e-05,
1204
+ "loss": 0.8804,
1205
+ "step": 1950
1206
+ },
1207
+ {
1208
+ "epoch": 39.2,
1209
+ "learning_rate": 3.7236734693877554e-05,
1210
+ "loss": 0.9208,
1211
+ "step": 1960
1212
+ },
1213
+ {
1214
+ "epoch": 39.4,
1215
+ "learning_rate": 3.711428571428572e-05,
1216
+ "loss": 0.8786,
1217
+ "step": 1970
1218
+ },
1219
+ {
1220
+ "epoch": 39.6,
1221
+ "learning_rate": 3.6991836734693873e-05,
1222
+ "loss": 0.8991,
1223
+ "step": 1980
1224
+ },
1225
+ {
1226
+ "epoch": 39.8,
1227
+ "learning_rate": 3.686938775510204e-05,
1228
+ "loss": 0.9153,
1229
+ "step": 1990
1230
+ },
1231
+ {
1232
+ "epoch": 40.0,
1233
+ "learning_rate": 3.6746938775510206e-05,
1234
+ "loss": 0.8831,
1235
+ "step": 2000
1236
+ },
1237
+ {
1238
+ "epoch": 40.0,
1239
+ "eval_loss": 0.3649730086326599,
1240
+ "eval_runtime": 244.6059,
1241
+ "eval_samples_per_second": 21.308,
1242
+ "eval_steps_per_second": 1.333,
1243
+ "eval_wer": 0.3875930650283751,
1244
+ "step": 2000
1245
+ },
1246
+ {
1247
+ "epoch": 40.2,
1248
+ "learning_rate": 3.662448979591837e-05,
1249
+ "loss": 0.8995,
1250
+ "step": 2010
1251
+ },
1252
+ {
1253
+ "epoch": 40.4,
1254
+ "learning_rate": 3.650204081632653e-05,
1255
+ "loss": 0.91,
1256
+ "step": 2020
1257
+ },
1258
+ {
1259
+ "epoch": 40.6,
1260
+ "learning_rate": 3.6379591836734695e-05,
1261
+ "loss": 0.9105,
1262
+ "step": 2030
1263
+ },
1264
+ {
1265
+ "epoch": 40.8,
1266
+ "learning_rate": 3.625714285714286e-05,
1267
+ "loss": 0.897,
1268
+ "step": 2040
1269
+ },
1270
+ {
1271
+ "epoch": 41.0,
1272
+ "learning_rate": 3.613469387755102e-05,
1273
+ "loss": 0.8869,
1274
+ "step": 2050
1275
+ },
1276
+ {
1277
+ "epoch": 41.2,
1278
+ "learning_rate": 3.6012244897959185e-05,
1279
+ "loss": 0.9227,
1280
+ "step": 2060
1281
+ },
1282
+ {
1283
+ "epoch": 41.4,
1284
+ "learning_rate": 3.588979591836735e-05,
1285
+ "loss": 0.8919,
1286
+ "step": 2070
1287
+ },
1288
+ {
1289
+ "epoch": 41.6,
1290
+ "learning_rate": 3.576734693877551e-05,
1291
+ "loss": 0.8926,
1292
+ "step": 2080
1293
+ },
1294
+ {
1295
+ "epoch": 41.8,
1296
+ "learning_rate": 3.5644897959183674e-05,
1297
+ "loss": 0.8912,
1298
+ "step": 2090
1299
+ },
1300
+ {
1301
+ "epoch": 42.0,
1302
+ "learning_rate": 3.552244897959184e-05,
1303
+ "loss": 0.8841,
1304
+ "step": 2100
1305
+ },
1306
+ {
1307
+ "epoch": 42.2,
1308
+ "learning_rate": 3.54e-05,
1309
+ "loss": 0.9165,
1310
+ "step": 2110
1311
+ },
1312
+ {
1313
+ "epoch": 42.4,
1314
+ "learning_rate": 3.527755102040817e-05,
1315
+ "loss": 0.8981,
1316
+ "step": 2120
1317
+ },
1318
+ {
1319
+ "epoch": 42.6,
1320
+ "learning_rate": 3.5155102040816326e-05,
1321
+ "loss": 0.9079,
1322
+ "step": 2130
1323
+ },
1324
+ {
1325
+ "epoch": 42.8,
1326
+ "learning_rate": 3.503265306122449e-05,
1327
+ "loss": 0.9017,
1328
+ "step": 2140
1329
+ },
1330
+ {
1331
+ "epoch": 43.0,
1332
+ "learning_rate": 3.491020408163265e-05,
1333
+ "loss": 0.8534,
1334
+ "step": 2150
1335
+ },
1336
+ {
1337
+ "epoch": 43.2,
1338
+ "learning_rate": 3.4787755102040815e-05,
1339
+ "loss": 0.9108,
1340
+ "step": 2160
1341
+ },
1342
+ {
1343
+ "epoch": 43.4,
1344
+ "learning_rate": 3.4665306122448985e-05,
1345
+ "loss": 0.8763,
1346
+ "step": 2170
1347
+ },
1348
+ {
1349
+ "epoch": 43.6,
1350
+ "learning_rate": 3.454285714285715e-05,
1351
+ "loss": 0.903,
1352
+ "step": 2180
1353
+ },
1354
+ {
1355
+ "epoch": 43.8,
1356
+ "learning_rate": 3.4420408163265304e-05,
1357
+ "loss": 0.8842,
1358
+ "step": 2190
1359
+ },
1360
+ {
1361
+ "epoch": 44.0,
1362
+ "learning_rate": 3.429795918367347e-05,
1363
+ "loss": 0.8646,
1364
+ "step": 2200
1365
+ },
1366
+ {
1367
+ "epoch": 44.2,
1368
+ "learning_rate": 3.417551020408163e-05,
1369
+ "loss": 0.921,
1370
+ "step": 2210
1371
+ },
1372
+ {
1373
+ "epoch": 44.4,
1374
+ "learning_rate": 3.40530612244898e-05,
1375
+ "loss": 0.8833,
1376
+ "step": 2220
1377
+ },
1378
+ {
1379
+ "epoch": 44.6,
1380
+ "learning_rate": 3.393061224489796e-05,
1381
+ "loss": 0.8826,
1382
+ "step": 2230
1383
+ },
1384
+ {
1385
+ "epoch": 44.8,
1386
+ "learning_rate": 3.380816326530612e-05,
1387
+ "loss": 0.8892,
1388
+ "step": 2240
1389
+ },
1390
+ {
1391
+ "epoch": 45.0,
1392
+ "learning_rate": 3.368571428571428e-05,
1393
+ "loss": 0.8688,
1394
+ "step": 2250
1395
+ },
1396
+ {
1397
+ "epoch": 45.2,
1398
+ "learning_rate": 3.356326530612245e-05,
1399
+ "loss": 0.92,
1400
+ "step": 2260
1401
+ },
1402
+ {
1403
+ "epoch": 45.4,
1404
+ "learning_rate": 3.3440816326530616e-05,
1405
+ "loss": 0.8728,
1406
+ "step": 2270
1407
+ },
1408
+ {
1409
+ "epoch": 45.6,
1410
+ "learning_rate": 3.331836734693878e-05,
1411
+ "loss": 0.8921,
1412
+ "step": 2280
1413
+ },
1414
+ {
1415
+ "epoch": 45.8,
1416
+ "learning_rate": 3.3195918367346935e-05,
1417
+ "loss": 0.9218,
1418
+ "step": 2290
1419
+ },
1420
+ {
1421
+ "epoch": 46.0,
1422
+ "learning_rate": 3.30734693877551e-05,
1423
+ "loss": 0.8695,
1424
+ "step": 2300
1425
+ },
1426
+ {
1427
+ "epoch": 46.2,
1428
+ "learning_rate": 3.295102040816327e-05,
1429
+ "loss": 0.9205,
1430
+ "step": 2310
1431
+ },
1432
+ {
1433
+ "epoch": 46.4,
1434
+ "learning_rate": 3.282857142857143e-05,
1435
+ "loss": 0.8813,
1436
+ "step": 2320
1437
+ },
1438
+ {
1439
+ "epoch": 46.6,
1440
+ "learning_rate": 3.2706122448979594e-05,
1441
+ "loss": 0.881,
1442
+ "step": 2330
1443
+ },
1444
+ {
1445
+ "epoch": 46.8,
1446
+ "learning_rate": 3.258367346938776e-05,
1447
+ "loss": 0.8744,
1448
+ "step": 2340
1449
+ },
1450
+ {
1451
+ "epoch": 47.0,
1452
+ "learning_rate": 3.246122448979592e-05,
1453
+ "loss": 0.8419,
1454
+ "step": 2350
1455
+ },
1456
+ {
1457
+ "epoch": 47.2,
1458
+ "learning_rate": 3.233877551020408e-05,
1459
+ "loss": 0.8919,
1460
+ "step": 2360
1461
+ },
1462
+ {
1463
+ "epoch": 47.4,
1464
+ "learning_rate": 3.2216326530612246e-05,
1465
+ "loss": 0.8741,
1466
+ "step": 2370
1467
+ },
1468
+ {
1469
+ "epoch": 47.6,
1470
+ "learning_rate": 3.209387755102041e-05,
1471
+ "loss": 0.8904,
1472
+ "step": 2380
1473
+ },
1474
+ {
1475
+ "epoch": 47.8,
1476
+ "learning_rate": 3.197142857142857e-05,
1477
+ "loss": 0.8948,
1478
+ "step": 2390
1479
+ },
1480
+ {
1481
+ "epoch": 48.0,
1482
+ "learning_rate": 3.1848979591836735e-05,
1483
+ "loss": 0.8513,
1484
+ "step": 2400
1485
+ },
1486
+ {
1487
+ "epoch": 48.2,
1488
+ "learning_rate": 3.17265306122449e-05,
1489
+ "loss": 0.89,
1490
+ "step": 2410
1491
+ },
1492
+ {
1493
+ "epoch": 48.4,
1494
+ "learning_rate": 3.160408163265306e-05,
1495
+ "loss": 0.8818,
1496
+ "step": 2420
1497
+ },
1498
+ {
1499
+ "epoch": 48.6,
1500
+ "learning_rate": 3.1481632653061224e-05,
1501
+ "loss": 0.8772,
1502
+ "step": 2430
1503
+ },
1504
+ {
1505
+ "epoch": 48.8,
1506
+ "learning_rate": 3.1359183673469394e-05,
1507
+ "loss": 0.8851,
1508
+ "step": 2440
1509
+ },
1510
+ {
1511
+ "epoch": 49.0,
1512
+ "learning_rate": 3.123673469387755e-05,
1513
+ "loss": 0.8568,
1514
+ "step": 2450
1515
+ },
1516
+ {
1517
+ "epoch": 49.2,
1518
+ "learning_rate": 3.1114285714285714e-05,
1519
+ "loss": 0.8949,
1520
+ "step": 2460
1521
+ },
1522
+ {
1523
+ "epoch": 49.4,
1524
+ "learning_rate": 3.099183673469388e-05,
1525
+ "loss": 0.8748,
1526
+ "step": 2470
1527
+ },
1528
+ {
1529
+ "epoch": 49.6,
1530
+ "learning_rate": 3.086938775510204e-05,
1531
+ "loss": 0.861,
1532
+ "step": 2480
1533
+ },
1534
+ {
1535
+ "epoch": 49.8,
1536
+ "learning_rate": 3.074693877551021e-05,
1537
+ "loss": 0.8878,
1538
+ "step": 2490
1539
+ },
1540
+ {
1541
+ "epoch": 50.0,
1542
+ "learning_rate": 3.0624489795918366e-05,
1543
+ "loss": 0.8399,
1544
+ "step": 2500
1545
+ },
1546
+ {
1547
+ "epoch": 50.0,
1548
+ "eval_loss": 0.3605365753173828,
1549
+ "eval_runtime": 244.9656,
1550
+ "eval_samples_per_second": 21.276,
1551
+ "eval_steps_per_second": 1.331,
1552
+ "eval_wer": 0.377206226896444,
1553
+ "step": 2500
1554
+ },
1555
+ {
1556
+ "epoch": 50.2,
1557
+ "learning_rate": 3.0502040816326532e-05,
1558
+ "loss": 0.877,
1559
+ "step": 2510
1560
+ },
1561
+ {
1562
+ "epoch": 50.4,
1563
+ "learning_rate": 3.0379591836734692e-05,
1564
+ "loss": 0.8843,
1565
+ "step": 2520
1566
+ },
1567
+ {
1568
+ "epoch": 50.6,
1569
+ "learning_rate": 3.0257142857142862e-05,
1570
+ "loss": 0.8654,
1571
+ "step": 2530
1572
+ },
1573
+ {
1574
+ "epoch": 50.8,
1575
+ "learning_rate": 3.013469387755102e-05,
1576
+ "loss": 0.8465,
1577
+ "step": 2540
1578
+ },
1579
+ {
1580
+ "epoch": 51.0,
1581
+ "learning_rate": 3.0012244897959184e-05,
1582
+ "loss": 0.8448,
1583
+ "step": 2550
1584
+ },
1585
+ {
1586
+ "epoch": 51.2,
1587
+ "learning_rate": 2.9889795918367348e-05,
1588
+ "loss": 0.8887,
1589
+ "step": 2560
1590
+ },
1591
+ {
1592
+ "epoch": 51.4,
1593
+ "learning_rate": 2.976734693877551e-05,
1594
+ "loss": 0.8518,
1595
+ "step": 2570
1596
+ },
1597
+ {
1598
+ "epoch": 51.6,
1599
+ "learning_rate": 2.9644897959183674e-05,
1600
+ "loss": 0.887,
1601
+ "step": 2580
1602
+ },
1603
+ {
1604
+ "epoch": 51.8,
1605
+ "learning_rate": 2.952244897959184e-05,
1606
+ "loss": 0.8628,
1607
+ "step": 2590
1608
+ },
1609
+ {
1610
+ "epoch": 52.0,
1611
+ "learning_rate": 2.94e-05,
1612
+ "loss": 0.8681,
1613
+ "step": 2600
1614
+ },
1615
+ {
1616
+ "epoch": 52.2,
1617
+ "learning_rate": 2.9277551020408166e-05,
1618
+ "loss": 0.8941,
1619
+ "step": 2610
1620
+ },
1621
+ {
1622
+ "epoch": 52.4,
1623
+ "learning_rate": 2.9155102040816326e-05,
1624
+ "loss": 0.8754,
1625
+ "step": 2620
1626
+ },
1627
+ {
1628
+ "epoch": 52.6,
1629
+ "learning_rate": 2.903265306122449e-05,
1630
+ "loss": 0.8573,
1631
+ "step": 2630
1632
+ },
1633
+ {
1634
+ "epoch": 52.8,
1635
+ "learning_rate": 2.8910204081632655e-05,
1636
+ "loss": 0.8689,
1637
+ "step": 2640
1638
+ },
1639
+ {
1640
+ "epoch": 53.0,
1641
+ "learning_rate": 2.8787755102040815e-05,
1642
+ "loss": 0.8664,
1643
+ "step": 2650
1644
+ },
1645
+ {
1646
+ "epoch": 53.2,
1647
+ "learning_rate": 2.866530612244898e-05,
1648
+ "loss": 0.8923,
1649
+ "step": 2660
1650
+ },
1651
+ {
1652
+ "epoch": 53.4,
1653
+ "learning_rate": 2.854285714285714e-05,
1654
+ "loss": 0.8735,
1655
+ "step": 2670
1656
+ },
1657
+ {
1658
+ "epoch": 53.6,
1659
+ "learning_rate": 2.8420408163265308e-05,
1660
+ "loss": 0.8717,
1661
+ "step": 2680
1662
+ },
1663
+ {
1664
+ "epoch": 53.8,
1665
+ "learning_rate": 2.829795918367347e-05,
1666
+ "loss": 0.8558,
1667
+ "step": 2690
1668
+ },
1669
+ {
1670
+ "epoch": 54.0,
1671
+ "learning_rate": 2.8175510204081634e-05,
1672
+ "loss": 0.8226,
1673
+ "step": 2700
1674
+ },
1675
+ {
1676
+ "epoch": 54.2,
1677
+ "learning_rate": 2.8053061224489797e-05,
1678
+ "loss": 0.8947,
1679
+ "step": 2710
1680
+ },
1681
+ {
1682
+ "epoch": 54.4,
1683
+ "learning_rate": 2.793061224489796e-05,
1684
+ "loss": 0.8509,
1685
+ "step": 2720
1686
+ },
1687
+ {
1688
+ "epoch": 54.6,
1689
+ "learning_rate": 2.7808163265306123e-05,
1690
+ "loss": 0.8551,
1691
+ "step": 2730
1692
+ },
1693
+ {
1694
+ "epoch": 54.8,
1695
+ "learning_rate": 2.7685714285714286e-05,
1696
+ "loss": 0.8705,
1697
+ "step": 2740
1698
+ },
1699
+ {
1700
+ "epoch": 55.0,
1701
+ "learning_rate": 2.756326530612245e-05,
1702
+ "loss": 0.815,
1703
+ "step": 2750
1704
+ },
1705
+ {
1706
+ "epoch": 55.2,
1707
+ "learning_rate": 2.7440816326530612e-05,
1708
+ "loss": 0.8939,
1709
+ "step": 2760
1710
+ },
1711
+ {
1712
+ "epoch": 55.4,
1713
+ "learning_rate": 2.731836734693878e-05,
1714
+ "loss": 0.859,
1715
+ "step": 2770
1716
+ },
1717
+ {
1718
+ "epoch": 55.6,
1719
+ "learning_rate": 2.7195918367346938e-05,
1720
+ "loss": 0.8567,
1721
+ "step": 2780
1722
+ },
1723
+ {
1724
+ "epoch": 55.8,
1725
+ "learning_rate": 2.7073469387755105e-05,
1726
+ "loss": 0.8599,
1727
+ "step": 2790
1728
+ },
1729
+ {
1730
+ "epoch": 56.0,
1731
+ "learning_rate": 2.6951020408163268e-05,
1732
+ "loss": 0.8171,
1733
+ "step": 2800
1734
+ },
1735
+ {
1736
+ "epoch": 56.2,
1737
+ "learning_rate": 2.6828571428571427e-05,
1738
+ "loss": 0.896,
1739
+ "step": 2810
1740
+ },
1741
+ {
1742
+ "epoch": 56.4,
1743
+ "learning_rate": 2.6706122448979594e-05,
1744
+ "loss": 0.8554,
1745
+ "step": 2820
1746
+ },
1747
+ {
1748
+ "epoch": 56.6,
1749
+ "learning_rate": 2.6583673469387753e-05,
1750
+ "loss": 0.877,
1751
+ "step": 2830
1752
+ },
1753
+ {
1754
+ "epoch": 56.8,
1755
+ "learning_rate": 2.646122448979592e-05,
1756
+ "loss": 0.8576,
1757
+ "step": 2840
1758
+ },
1759
+ {
1760
+ "epoch": 57.0,
1761
+ "learning_rate": 2.6338775510204083e-05,
1762
+ "loss": 0.8321,
1763
+ "step": 2850
1764
+ },
1765
+ {
1766
+ "epoch": 57.2,
1767
+ "learning_rate": 2.6216326530612246e-05,
1768
+ "loss": 0.8606,
1769
+ "step": 2860
1770
+ },
1771
+ {
1772
+ "epoch": 57.4,
1773
+ "learning_rate": 2.609387755102041e-05,
1774
+ "loss": 0.8409,
1775
+ "step": 2870
1776
+ },
1777
+ {
1778
+ "epoch": 57.6,
1779
+ "learning_rate": 2.5971428571428575e-05,
1780
+ "loss": 0.8469,
1781
+ "step": 2880
1782
+ },
1783
+ {
1784
+ "epoch": 57.8,
1785
+ "learning_rate": 2.5848979591836735e-05,
1786
+ "loss": 0.8546,
1787
+ "step": 2890
1788
+ },
1789
+ {
1790
+ "epoch": 58.0,
1791
+ "learning_rate": 2.5726530612244898e-05,
1792
+ "loss": 0.829,
1793
+ "step": 2900
1794
+ },
1795
+ {
1796
+ "epoch": 58.2,
1797
+ "learning_rate": 2.560408163265306e-05,
1798
+ "loss": 0.8659,
1799
+ "step": 2910
1800
+ },
1801
+ {
1802
+ "epoch": 58.4,
1803
+ "learning_rate": 2.5481632653061224e-05,
1804
+ "loss": 0.877,
1805
+ "step": 2920
1806
+ },
1807
+ {
1808
+ "epoch": 58.6,
1809
+ "learning_rate": 2.535918367346939e-05,
1810
+ "loss": 0.8537,
1811
+ "step": 2930
1812
+ },
1813
+ {
1814
+ "epoch": 58.8,
1815
+ "learning_rate": 2.523673469387755e-05,
1816
+ "loss": 0.8489,
1817
+ "step": 2940
1818
+ },
1819
+ {
1820
+ "epoch": 59.0,
1821
+ "learning_rate": 2.5114285714285717e-05,
1822
+ "loss": 0.8184,
1823
+ "step": 2950
1824
+ },
1825
+ {
1826
+ "epoch": 59.2,
1827
+ "learning_rate": 2.4991836734693876e-05,
1828
+ "loss": 0.8597,
1829
+ "step": 2960
1830
+ },
1831
+ {
1832
+ "epoch": 59.4,
1833
+ "learning_rate": 2.486938775510204e-05,
1834
+ "loss": 0.8621,
1835
+ "step": 2970
1836
+ },
1837
+ {
1838
+ "epoch": 59.6,
1839
+ "learning_rate": 2.4746938775510206e-05,
1840
+ "loss": 0.8553,
1841
+ "step": 2980
1842
+ },
1843
+ {
1844
+ "epoch": 59.8,
1845
+ "learning_rate": 2.4624489795918366e-05,
1846
+ "loss": 0.8628,
1847
+ "step": 2990
1848
+ },
1849
+ {
1850
+ "epoch": 60.0,
1851
+ "learning_rate": 2.4502040816326532e-05,
1852
+ "loss": 0.819,
1853
+ "step": 3000
1854
+ },
1855
+ {
1856
+ "epoch": 60.0,
1857
+ "eval_loss": 0.3622128367424011,
1858
+ "eval_runtime": 245.6109,
1859
+ "eval_samples_per_second": 21.221,
1860
+ "eval_steps_per_second": 1.327,
1861
+ "eval_wer": 0.3714270838756703,
1862
+ "step": 3000
1863
+ },
1864
+ {
1865
+ "epoch": 60.2,
1866
+ "learning_rate": 2.4379591836734695e-05,
1867
+ "loss": 0.8644,
1868
+ "step": 3010
1869
+ },
1870
+ {
1871
+ "epoch": 60.4,
1872
+ "learning_rate": 2.4257142857142858e-05,
1873
+ "loss": 0.8434,
1874
+ "step": 3020
1875
+ },
1876
+ {
1877
+ "epoch": 60.6,
1878
+ "learning_rate": 2.413469387755102e-05,
1879
+ "loss": 0.8402,
1880
+ "step": 3030
1881
+ },
1882
+ {
1883
+ "epoch": 60.8,
1884
+ "learning_rate": 2.4012244897959184e-05,
1885
+ "loss": 0.8412,
1886
+ "step": 3040
1887
+ },
1888
+ {
1889
+ "epoch": 61.0,
1890
+ "learning_rate": 2.3889795918367347e-05,
1891
+ "loss": 0.7999,
1892
+ "step": 3050
1893
+ },
1894
+ {
1895
+ "epoch": 61.2,
1896
+ "learning_rate": 2.376734693877551e-05,
1897
+ "loss": 0.8662,
1898
+ "step": 3060
1899
+ },
1900
+ {
1901
+ "epoch": 61.4,
1902
+ "learning_rate": 2.3644897959183673e-05,
1903
+ "loss": 0.8329,
1904
+ "step": 3070
1905
+ },
1906
+ {
1907
+ "epoch": 61.6,
1908
+ "learning_rate": 2.3522448979591837e-05,
1909
+ "loss": 0.8458,
1910
+ "step": 3080
1911
+ },
1912
+ {
1913
+ "epoch": 61.8,
1914
+ "learning_rate": 2.3400000000000003e-05,
1915
+ "loss": 0.8423,
1916
+ "step": 3090
1917
+ },
1918
+ {
1919
+ "epoch": 62.0,
1920
+ "learning_rate": 2.3277551020408163e-05,
1921
+ "loss": 0.8163,
1922
+ "step": 3100
1923
+ },
1924
+ {
1925
+ "epoch": 62.2,
1926
+ "learning_rate": 2.315510204081633e-05,
1927
+ "loss": 0.8645,
1928
+ "step": 3110
1929
+ },
1930
+ {
1931
+ "epoch": 62.4,
1932
+ "learning_rate": 2.303265306122449e-05,
1933
+ "loss": 0.8425,
1934
+ "step": 3120
1935
+ },
1936
+ {
1937
+ "epoch": 62.6,
1938
+ "learning_rate": 2.2910204081632655e-05,
1939
+ "loss": 0.8474,
1940
+ "step": 3130
1941
+ },
1942
+ {
1943
+ "epoch": 62.8,
1944
+ "learning_rate": 2.2787755102040818e-05,
1945
+ "loss": 0.8289,
1946
+ "step": 3140
1947
+ },
1948
+ {
1949
+ "epoch": 63.0,
1950
+ "learning_rate": 2.2665306122448978e-05,
1951
+ "loss": 0.8156,
1952
+ "step": 3150
1953
+ },
1954
+ {
1955
+ "epoch": 63.2,
1956
+ "learning_rate": 2.2542857142857144e-05,
1957
+ "loss": 0.8886,
1958
+ "step": 3160
1959
+ },
1960
+ {
1961
+ "epoch": 63.4,
1962
+ "learning_rate": 2.243265306122449e-05,
1963
+ "loss": 0.8355,
1964
+ "step": 3170
1965
+ },
1966
+ {
1967
+ "epoch": 63.6,
1968
+ "learning_rate": 2.2310204081632654e-05,
1969
+ "loss": 0.8291,
1970
+ "step": 3180
1971
+ },
1972
+ {
1973
+ "epoch": 63.8,
1974
+ "learning_rate": 2.2187755102040817e-05,
1975
+ "loss": 0.8588,
1976
+ "step": 3190
1977
+ },
1978
+ {
1979
+ "epoch": 64.0,
1980
+ "learning_rate": 2.206530612244898e-05,
1981
+ "loss": 0.8194,
1982
+ "step": 3200
1983
+ },
1984
+ {
1985
+ "epoch": 64.2,
1986
+ "learning_rate": 2.1942857142857143e-05,
1987
+ "loss": 0.8688,
1988
+ "step": 3210
1989
+ },
1990
+ {
1991
+ "epoch": 64.4,
1992
+ "learning_rate": 2.1820408163265306e-05,
1993
+ "loss": 0.8319,
1994
+ "step": 3220
1995
+ },
1996
+ {
1997
+ "epoch": 64.6,
1998
+ "learning_rate": 2.169795918367347e-05,
1999
+ "loss": 0.8505,
2000
+ "step": 3230
2001
+ },
2002
+ {
2003
+ "epoch": 64.8,
2004
+ "learning_rate": 2.1575510204081632e-05,
2005
+ "loss": 0.8435,
2006
+ "step": 3240
2007
+ },
2008
+ {
2009
+ "epoch": 65.0,
2010
+ "learning_rate": 2.14530612244898e-05,
2011
+ "loss": 0.8047,
2012
+ "step": 3250
2013
+ },
2014
+ {
2015
+ "epoch": 65.2,
2016
+ "learning_rate": 2.133061224489796e-05,
2017
+ "loss": 0.8568,
2018
+ "step": 3260
2019
+ },
2020
+ {
2021
+ "epoch": 65.4,
2022
+ "learning_rate": 2.1208163265306125e-05,
2023
+ "loss": 0.8305,
2024
+ "step": 3270
2025
+ },
2026
+ {
2027
+ "epoch": 65.6,
2028
+ "learning_rate": 2.1085714285714285e-05,
2029
+ "loss": 0.8424,
2030
+ "step": 3280
2031
+ },
2032
+ {
2033
+ "epoch": 65.8,
2034
+ "learning_rate": 2.096326530612245e-05,
2035
+ "loss": 0.8319,
2036
+ "step": 3290
2037
+ },
2038
+ {
2039
+ "epoch": 66.0,
2040
+ "learning_rate": 2.0840816326530614e-05,
2041
+ "loss": 0.823,
2042
+ "step": 3300
2043
+ },
2044
+ {
2045
+ "epoch": 66.2,
2046
+ "learning_rate": 2.0718367346938774e-05,
2047
+ "loss": 0.8754,
2048
+ "step": 3310
2049
+ },
2050
+ {
2051
+ "epoch": 66.4,
2052
+ "learning_rate": 2.059591836734694e-05,
2053
+ "loss": 0.8253,
2054
+ "step": 3320
2055
+ },
2056
+ {
2057
+ "epoch": 66.6,
2058
+ "learning_rate": 2.04734693877551e-05,
2059
+ "loss": 0.8429,
2060
+ "step": 3330
2061
+ },
2062
+ {
2063
+ "epoch": 66.8,
2064
+ "learning_rate": 2.0351020408163266e-05,
2065
+ "loss": 0.8286,
2066
+ "step": 3340
2067
+ },
2068
+ {
2069
+ "epoch": 67.0,
2070
+ "learning_rate": 2.022857142857143e-05,
2071
+ "loss": 0.8149,
2072
+ "step": 3350
2073
+ },
2074
+ {
2075
+ "epoch": 67.2,
2076
+ "learning_rate": 2.0106122448979593e-05,
2077
+ "loss": 0.8683,
2078
+ "step": 3360
2079
+ },
2080
+ {
2081
+ "epoch": 67.4,
2082
+ "learning_rate": 1.9983673469387756e-05,
2083
+ "loss": 0.8284,
2084
+ "step": 3370
2085
+ },
2086
+ {
2087
+ "epoch": 67.6,
2088
+ "learning_rate": 1.986122448979592e-05,
2089
+ "loss": 0.8363,
2090
+ "step": 3380
2091
+ },
2092
+ {
2093
+ "epoch": 67.8,
2094
+ "learning_rate": 1.973877551020408e-05,
2095
+ "loss": 0.8364,
2096
+ "step": 3390
2097
+ },
2098
+ {
2099
+ "epoch": 68.0,
2100
+ "learning_rate": 1.9616326530612245e-05,
2101
+ "loss": 0.8126,
2102
+ "step": 3400
2103
+ },
2104
+ {
2105
+ "epoch": 68.2,
2106
+ "learning_rate": 1.9493877551020408e-05,
2107
+ "loss": 0.8599,
2108
+ "step": 3410
2109
+ },
2110
+ {
2111
+ "epoch": 68.4,
2112
+ "learning_rate": 1.937142857142857e-05,
2113
+ "loss": 0.8182,
2114
+ "step": 3420
2115
+ },
2116
+ {
2117
+ "epoch": 68.6,
2118
+ "learning_rate": 1.9248979591836737e-05,
2119
+ "loss": 0.8344,
2120
+ "step": 3430
2121
+ },
2122
+ {
2123
+ "epoch": 68.8,
2124
+ "learning_rate": 1.9126530612244897e-05,
2125
+ "loss": 0.8158,
2126
+ "step": 3440
2127
+ },
2128
+ {
2129
+ "epoch": 69.0,
2130
+ "learning_rate": 1.9004081632653063e-05,
2131
+ "loss": 0.8117,
2132
+ "step": 3450
2133
+ },
2134
+ {
2135
+ "epoch": 69.2,
2136
+ "learning_rate": 1.8881632653061226e-05,
2137
+ "loss": 0.8421,
2138
+ "step": 3460
2139
+ },
2140
+ {
2141
+ "epoch": 69.4,
2142
+ "learning_rate": 1.8759183673469386e-05,
2143
+ "loss": 0.8264,
2144
+ "step": 3470
2145
+ },
2146
+ {
2147
+ "epoch": 69.6,
2148
+ "learning_rate": 1.8636734693877553e-05,
2149
+ "loss": 0.8356,
2150
+ "step": 3480
2151
+ },
2152
+ {
2153
+ "epoch": 69.8,
2154
+ "learning_rate": 1.8514285714285712e-05,
2155
+ "loss": 0.8316,
2156
+ "step": 3490
2157
+ },
2158
+ {
2159
+ "epoch": 70.0,
2160
+ "learning_rate": 1.839183673469388e-05,
2161
+ "loss": 0.8029,
2162
+ "step": 3500
2163
+ },
2164
+ {
2165
+ "epoch": 70.0,
2166
+ "eval_loss": 0.3561089038848877,
2167
+ "eval_runtime": 245.8818,
2168
+ "eval_samples_per_second": 21.197,
2169
+ "eval_steps_per_second": 1.326,
2170
+ "eval_wer": 0.3663768417764357,
2171
+ "step": 3500
2172
+ },
2173
+ {
2174
+ "epoch": 70.2,
2175
+ "learning_rate": 1.8269387755102042e-05,
2176
+ "loss": 0.8579,
2177
+ "step": 3510
2178
+ },
2179
+ {
2180
+ "epoch": 70.4,
2181
+ "learning_rate": 1.8146938775510205e-05,
2182
+ "loss": 0.8511,
2183
+ "step": 3520
2184
+ },
2185
+ {
2186
+ "epoch": 70.6,
2187
+ "learning_rate": 1.8024489795918368e-05,
2188
+ "loss": 0.8437,
2189
+ "step": 3530
2190
+ },
2191
+ {
2192
+ "epoch": 70.8,
2193
+ "learning_rate": 1.790204081632653e-05,
2194
+ "loss": 0.8526,
2195
+ "step": 3540
2196
+ },
2197
+ {
2198
+ "epoch": 71.0,
2199
+ "learning_rate": 1.7779591836734694e-05,
2200
+ "loss": 0.8014,
2201
+ "step": 3550
2202
+ },
2203
+ {
2204
+ "epoch": 71.2,
2205
+ "learning_rate": 1.7657142857142857e-05,
2206
+ "loss": 0.868,
2207
+ "step": 3560
2208
+ },
2209
+ {
2210
+ "epoch": 71.4,
2211
+ "learning_rate": 1.753469387755102e-05,
2212
+ "loss": 0.8531,
2213
+ "step": 3570
2214
+ },
2215
+ {
2216
+ "epoch": 71.6,
2217
+ "learning_rate": 1.7412244897959183e-05,
2218
+ "loss": 0.8555,
2219
+ "step": 3580
2220
+ },
2221
+ {
2222
+ "epoch": 71.8,
2223
+ "learning_rate": 1.728979591836735e-05,
2224
+ "loss": 0.8413,
2225
+ "step": 3590
2226
+ },
2227
+ {
2228
+ "epoch": 72.0,
2229
+ "learning_rate": 1.716734693877551e-05,
2230
+ "loss": 0.8216,
2231
+ "step": 3600
2232
+ },
2233
+ {
2234
+ "epoch": 72.2,
2235
+ "learning_rate": 1.7044897959183676e-05,
2236
+ "loss": 0.8611,
2237
+ "step": 3610
2238
+ },
2239
+ {
2240
+ "epoch": 72.4,
2241
+ "learning_rate": 1.6922448979591835e-05,
2242
+ "loss": 0.8393,
2243
+ "step": 3620
2244
+ },
2245
+ {
2246
+ "epoch": 72.6,
2247
+ "learning_rate": 1.6800000000000002e-05,
2248
+ "loss": 0.8229,
2249
+ "step": 3630
2250
+ },
2251
+ {
2252
+ "epoch": 72.8,
2253
+ "learning_rate": 1.6677551020408165e-05,
2254
+ "loss": 0.8375,
2255
+ "step": 3640
2256
+ },
2257
+ {
2258
+ "epoch": 73.0,
2259
+ "learning_rate": 1.6555102040816325e-05,
2260
+ "loss": 0.8119,
2261
+ "step": 3650
2262
+ },
2263
+ {
2264
+ "epoch": 73.2,
2265
+ "learning_rate": 1.643265306122449e-05,
2266
+ "loss": 0.8706,
2267
+ "step": 3660
2268
+ },
2269
+ {
2270
+ "epoch": 73.4,
2271
+ "learning_rate": 1.6310204081632654e-05,
2272
+ "loss": 0.829,
2273
+ "step": 3670
2274
+ },
2275
+ {
2276
+ "epoch": 73.6,
2277
+ "learning_rate": 1.6187755102040817e-05,
2278
+ "loss": 0.8246,
2279
+ "step": 3680
2280
+ },
2281
+ {
2282
+ "epoch": 73.8,
2283
+ "learning_rate": 1.606530612244898e-05,
2284
+ "loss": 0.8462,
2285
+ "step": 3690
2286
+ },
2287
+ {
2288
+ "epoch": 74.0,
2289
+ "learning_rate": 1.5942857142857143e-05,
2290
+ "loss": 0.8305,
2291
+ "step": 3700
2292
+ },
2293
+ {
2294
+ "epoch": 74.2,
2295
+ "learning_rate": 1.5820408163265306e-05,
2296
+ "loss": 0.8568,
2297
+ "step": 3710
2298
+ },
2299
+ {
2300
+ "epoch": 74.4,
2301
+ "learning_rate": 1.569795918367347e-05,
2302
+ "loss": 0.8283,
2303
+ "step": 3720
2304
+ },
2305
+ {
2306
+ "epoch": 74.6,
2307
+ "learning_rate": 1.5575510204081632e-05,
2308
+ "loss": 0.8205,
2309
+ "step": 3730
2310
+ },
2311
+ {
2312
+ "epoch": 74.8,
2313
+ "learning_rate": 1.5453061224489795e-05,
2314
+ "loss": 0.8301,
2315
+ "step": 3740
2316
+ },
2317
+ {
2318
+ "epoch": 75.0,
2319
+ "learning_rate": 1.5330612244897962e-05,
2320
+ "loss": 0.8168,
2321
+ "step": 3750
2322
+ },
2323
+ {
2324
+ "epoch": 75.2,
2325
+ "learning_rate": 1.5208163265306121e-05,
2326
+ "loss": 0.8503,
2327
+ "step": 3760
2328
+ },
2329
+ {
2330
+ "epoch": 75.4,
2331
+ "learning_rate": 1.5085714285714288e-05,
2332
+ "loss": 0.825,
2333
+ "step": 3770
2334
+ },
2335
+ {
2336
+ "epoch": 75.6,
2337
+ "learning_rate": 1.496326530612245e-05,
2338
+ "loss": 0.8255,
2339
+ "step": 3780
2340
+ },
2341
+ {
2342
+ "epoch": 75.8,
2343
+ "learning_rate": 1.4840816326530612e-05,
2344
+ "loss": 0.827,
2345
+ "step": 3790
2346
+ },
2347
+ {
2348
+ "epoch": 76.0,
2349
+ "learning_rate": 1.4718367346938775e-05,
2350
+ "loss": 0.7891,
2351
+ "step": 3800
2352
+ },
2353
+ {
2354
+ "epoch": 76.2,
2355
+ "learning_rate": 1.4595918367346938e-05,
2356
+ "loss": 0.8504,
2357
+ "step": 3810
2358
+ },
2359
+ {
2360
+ "epoch": 76.4,
2361
+ "learning_rate": 1.4473469387755103e-05,
2362
+ "loss": 0.8318,
2363
+ "step": 3820
2364
+ },
2365
+ {
2366
+ "epoch": 76.6,
2367
+ "learning_rate": 1.4351020408163266e-05,
2368
+ "loss": 0.8401,
2369
+ "step": 3830
2370
+ },
2371
+ {
2372
+ "epoch": 76.8,
2373
+ "learning_rate": 1.422857142857143e-05,
2374
+ "loss": 0.8284,
2375
+ "step": 3840
2376
+ },
2377
+ {
2378
+ "epoch": 77.0,
2379
+ "learning_rate": 1.410612244897959e-05,
2380
+ "loss": 0.801,
2381
+ "step": 3850
2382
+ },
2383
+ {
2384
+ "epoch": 77.2,
2385
+ "learning_rate": 1.3983673469387755e-05,
2386
+ "loss": 0.8628,
2387
+ "step": 3860
2388
+ },
2389
+ {
2390
+ "epoch": 77.4,
2391
+ "learning_rate": 1.3861224489795918e-05,
2392
+ "loss": 0.8339,
2393
+ "step": 3870
2394
+ },
2395
+ {
2396
+ "epoch": 77.6,
2397
+ "learning_rate": 1.3738775510204082e-05,
2398
+ "loss": 0.817,
2399
+ "step": 3880
2400
+ },
2401
+ {
2402
+ "epoch": 77.8,
2403
+ "learning_rate": 1.3616326530612245e-05,
2404
+ "loss": 0.8374,
2405
+ "step": 3890
2406
+ },
2407
+ {
2408
+ "epoch": 78.0,
2409
+ "learning_rate": 1.349387755102041e-05,
2410
+ "loss": 0.7855,
2411
+ "step": 3900
2412
+ },
2413
+ {
2414
+ "epoch": 78.2,
2415
+ "learning_rate": 1.3371428571428572e-05,
2416
+ "loss": 0.8433,
2417
+ "step": 3910
2418
+ },
2419
+ {
2420
+ "epoch": 78.4,
2421
+ "learning_rate": 1.3248979591836735e-05,
2422
+ "loss": 0.821,
2423
+ "step": 3920
2424
+ },
2425
+ {
2426
+ "epoch": 78.6,
2427
+ "learning_rate": 1.3126530612244897e-05,
2428
+ "loss": 0.8174,
2429
+ "step": 3930
2430
+ },
2431
+ {
2432
+ "epoch": 78.8,
2433
+ "learning_rate": 1.3004081632653062e-05,
2434
+ "loss": 0.8496,
2435
+ "step": 3940
2436
+ },
2437
+ {
2438
+ "epoch": 79.0,
2439
+ "learning_rate": 1.2881632653061225e-05,
2440
+ "loss": 0.7955,
2441
+ "step": 3950
2442
+ },
2443
+ {
2444
+ "epoch": 79.2,
2445
+ "learning_rate": 1.2759183673469388e-05,
2446
+ "loss": 0.8538,
2447
+ "step": 3960
2448
+ },
2449
+ {
2450
+ "epoch": 79.4,
2451
+ "learning_rate": 1.263673469387755e-05,
2452
+ "loss": 0.8431,
2453
+ "step": 3970
2454
+ },
2455
+ {
2456
+ "epoch": 79.6,
2457
+ "learning_rate": 1.2514285714285715e-05,
2458
+ "loss": 0.84,
2459
+ "step": 3980
2460
+ },
2461
+ {
2462
+ "epoch": 79.8,
2463
+ "learning_rate": 1.2391836734693879e-05,
2464
+ "loss": 0.8186,
2465
+ "step": 3990
2466
+ },
2467
+ {
2468
+ "epoch": 80.0,
2469
+ "learning_rate": 1.2269387755102042e-05,
2470
+ "loss": 0.8045,
2471
+ "step": 4000
2472
+ },
2473
+ {
2474
+ "epoch": 80.0,
2475
+ "eval_loss": 0.3606957793235779,
2476
+ "eval_runtime": 246.7059,
2477
+ "eval_samples_per_second": 21.126,
2478
+ "eval_steps_per_second": 1.321,
2479
+ "eval_wer": 0.3621335971260478,
2480
+ "step": 4000
2481
+ },
2482
+ {
2483
+ "epoch": 80.2,
2484
+ "learning_rate": 1.2146938775510205e-05,
2485
+ "loss": 0.8382,
2486
+ "step": 4010
2487
+ },
2488
+ {
2489
+ "epoch": 80.4,
2490
+ "learning_rate": 1.2024489795918368e-05,
2491
+ "loss": 0.8248,
2492
+ "step": 4020
2493
+ },
2494
+ {
2495
+ "epoch": 80.6,
2496
+ "learning_rate": 1.190204081632653e-05,
2497
+ "loss": 0.8309,
2498
+ "step": 4030
2499
+ },
2500
+ {
2501
+ "epoch": 80.8,
2502
+ "learning_rate": 1.1779591836734694e-05,
2503
+ "loss": 0.8149,
2504
+ "step": 4040
2505
+ },
2506
+ {
2507
+ "epoch": 81.0,
2508
+ "learning_rate": 1.1657142857142857e-05,
2509
+ "loss": 0.806,
2510
+ "step": 4050
2511
+ },
2512
+ {
2513
+ "epoch": 81.2,
2514
+ "learning_rate": 1.1534693877551022e-05,
2515
+ "loss": 0.8475,
2516
+ "step": 4060
2517
+ },
2518
+ {
2519
+ "epoch": 81.4,
2520
+ "learning_rate": 1.1412244897959185e-05,
2521
+ "loss": 0.8478,
2522
+ "step": 4070
2523
+ },
2524
+ {
2525
+ "epoch": 81.6,
2526
+ "learning_rate": 1.1289795918367348e-05,
2527
+ "loss": 0.813,
2528
+ "step": 4080
2529
+ },
2530
+ {
2531
+ "epoch": 81.8,
2532
+ "learning_rate": 1.116734693877551e-05,
2533
+ "loss": 0.8231,
2534
+ "step": 4090
2535
+ },
2536
+ {
2537
+ "epoch": 82.0,
2538
+ "learning_rate": 1.1044897959183672e-05,
2539
+ "loss": 0.8105,
2540
+ "step": 4100
2541
+ },
2542
+ {
2543
+ "epoch": 82.2,
2544
+ "learning_rate": 1.0922448979591837e-05,
2545
+ "loss": 0.8554,
2546
+ "step": 4110
2547
+ },
2548
+ {
2549
+ "epoch": 82.4,
2550
+ "learning_rate": 1.08e-05,
2551
+ "loss": 0.8084,
2552
+ "step": 4120
2553
+ },
2554
+ {
2555
+ "epoch": 82.6,
2556
+ "learning_rate": 1.0677551020408163e-05,
2557
+ "loss": 0.803,
2558
+ "step": 4130
2559
+ },
2560
+ {
2561
+ "epoch": 82.8,
2562
+ "learning_rate": 1.0555102040816326e-05,
2563
+ "loss": 0.833,
2564
+ "step": 4140
2565
+ },
2566
+ {
2567
+ "epoch": 83.0,
2568
+ "learning_rate": 1.043265306122449e-05,
2569
+ "loss": 0.781,
2570
+ "step": 4150
2571
+ },
2572
+ {
2573
+ "epoch": 83.2,
2574
+ "learning_rate": 1.0310204081632654e-05,
2575
+ "loss": 0.8371,
2576
+ "step": 4160
2577
+ },
2578
+ {
2579
+ "epoch": 83.4,
2580
+ "learning_rate": 1.0187755102040817e-05,
2581
+ "loss": 0.8149,
2582
+ "step": 4170
2583
+ },
2584
+ {
2585
+ "epoch": 83.6,
2586
+ "learning_rate": 1.006530612244898e-05,
2587
+ "loss": 0.8383,
2588
+ "step": 4180
2589
+ },
2590
+ {
2591
+ "epoch": 83.8,
2592
+ "learning_rate": 9.942857142857143e-06,
2593
+ "loss": 0.8085,
2594
+ "step": 4190
2595
+ },
2596
+ {
2597
+ "epoch": 84.0,
2598
+ "learning_rate": 9.820408163265306e-06,
2599
+ "loss": 0.7775,
2600
+ "step": 4200
2601
+ },
2602
+ {
2603
+ "epoch": 84.2,
2604
+ "learning_rate": 9.697959183673469e-06,
2605
+ "loss": 0.8459,
2606
+ "step": 4210
2607
+ },
2608
+ {
2609
+ "epoch": 84.4,
2610
+ "learning_rate": 9.575510204081632e-06,
2611
+ "loss": 0.7982,
2612
+ "step": 4220
2613
+ },
2614
+ {
2615
+ "epoch": 84.6,
2616
+ "learning_rate": 9.453061224489797e-06,
2617
+ "loss": 0.8121,
2618
+ "step": 4230
2619
+ },
2620
+ {
2621
+ "epoch": 84.8,
2622
+ "learning_rate": 9.33061224489796e-06,
2623
+ "loss": 0.848,
2624
+ "step": 4240
2625
+ },
2626
+ {
2627
+ "epoch": 85.0,
2628
+ "learning_rate": 9.208163265306123e-06,
2629
+ "loss": 0.7948,
2630
+ "step": 4250
2631
+ },
2632
+ {
2633
+ "epoch": 85.2,
2634
+ "learning_rate": 9.085714285714286e-06,
2635
+ "loss": 0.8709,
2636
+ "step": 4260
2637
+ },
2638
+ {
2639
+ "epoch": 85.4,
2640
+ "learning_rate": 8.963265306122449e-06,
2641
+ "loss": 0.837,
2642
+ "step": 4270
2643
+ },
2644
+ {
2645
+ "epoch": 85.6,
2646
+ "learning_rate": 8.840816326530612e-06,
2647
+ "loss": 0.8078,
2648
+ "step": 4280
2649
+ },
2650
+ {
2651
+ "epoch": 85.8,
2652
+ "learning_rate": 8.718367346938775e-06,
2653
+ "loss": 0.7987,
2654
+ "step": 4290
2655
+ },
2656
+ {
2657
+ "epoch": 86.0,
2658
+ "learning_rate": 8.595918367346938e-06,
2659
+ "loss": 0.8008,
2660
+ "step": 4300
2661
+ },
2662
+ {
2663
+ "epoch": 86.2,
2664
+ "learning_rate": 8.473469387755103e-06,
2665
+ "loss": 0.8481,
2666
+ "step": 4310
2667
+ },
2668
+ {
2669
+ "epoch": 86.4,
2670
+ "learning_rate": 8.351020408163266e-06,
2671
+ "loss": 0.8025,
2672
+ "step": 4320
2673
+ },
2674
+ {
2675
+ "epoch": 86.6,
2676
+ "learning_rate": 8.22857142857143e-06,
2677
+ "loss": 0.8173,
2678
+ "step": 4330
2679
+ },
2680
+ {
2681
+ "epoch": 86.8,
2682
+ "learning_rate": 8.106122448979592e-06,
2683
+ "loss": 0.8162,
2684
+ "step": 4340
2685
+ },
2686
+ {
2687
+ "epoch": 87.0,
2688
+ "learning_rate": 7.983673469387755e-06,
2689
+ "loss": 0.7663,
2690
+ "step": 4350
2691
+ },
2692
+ {
2693
+ "epoch": 87.2,
2694
+ "learning_rate": 7.861224489795918e-06,
2695
+ "loss": 0.8386,
2696
+ "step": 4360
2697
+ },
2698
+ {
2699
+ "epoch": 87.4,
2700
+ "learning_rate": 7.738775510204081e-06,
2701
+ "loss": 0.845,
2702
+ "step": 4370
2703
+ },
2704
+ {
2705
+ "epoch": 87.6,
2706
+ "learning_rate": 7.6163265306122444e-06,
2707
+ "loss": 0.8114,
2708
+ "step": 4380
2709
+ },
2710
+ {
2711
+ "epoch": 87.8,
2712
+ "learning_rate": 7.493877551020408e-06,
2713
+ "loss": 0.8129,
2714
+ "step": 4390
2715
+ },
2716
+ {
2717
+ "epoch": 88.0,
2718
+ "learning_rate": 7.371428571428571e-06,
2719
+ "loss": 0.7757,
2720
+ "step": 4400
2721
+ },
2722
+ {
2723
+ "epoch": 88.2,
2724
+ "learning_rate": 7.248979591836735e-06,
2725
+ "loss": 0.847,
2726
+ "step": 4410
2727
+ },
2728
+ {
2729
+ "epoch": 88.4,
2730
+ "learning_rate": 7.1265306122448975e-06,
2731
+ "loss": 0.8315,
2732
+ "step": 4420
2733
+ },
2734
+ {
2735
+ "epoch": 88.6,
2736
+ "learning_rate": 7.004081632653061e-06,
2737
+ "loss": 0.8118,
2738
+ "step": 4430
2739
+ },
2740
+ {
2741
+ "epoch": 88.8,
2742
+ "learning_rate": 6.8816326530612245e-06,
2743
+ "loss": 0.8117,
2744
+ "step": 4440
2745
+ },
2746
+ {
2747
+ "epoch": 89.0,
2748
+ "learning_rate": 6.759183673469388e-06,
2749
+ "loss": 0.7848,
2750
+ "step": 4450
2751
+ },
2752
+ {
2753
+ "epoch": 89.2,
2754
+ "learning_rate": 6.6367346938775506e-06,
2755
+ "loss": 0.8463,
2756
+ "step": 4460
2757
+ },
2758
+ {
2759
+ "epoch": 89.4,
2760
+ "learning_rate": 6.5142857142857145e-06,
2761
+ "loss": 0.8147,
2762
+ "step": 4470
2763
+ },
2764
+ {
2765
+ "epoch": 89.6,
2766
+ "learning_rate": 6.3918367346938775e-06,
2767
+ "loss": 0.8026,
2768
+ "step": 4480
2769
+ },
2770
+ {
2771
+ "epoch": 89.8,
2772
+ "learning_rate": 6.2693877551020414e-06,
2773
+ "loss": 0.8148,
2774
+ "step": 4490
2775
+ },
2776
+ {
2777
+ "epoch": 90.0,
2778
+ "learning_rate": 6.146938775510204e-06,
2779
+ "loss": 0.7799,
2780
+ "step": 4500
2781
+ },
2782
+ {
2783
+ "epoch": 90.0,
2784
+ "eval_loss": 0.3501129448413849,
2785
+ "eval_runtime": 245.2219,
2786
+ "eval_samples_per_second": 21.254,
2787
+ "eval_steps_per_second": 1.329,
2788
+ "eval_wer": 0.35609413234758164,
2789
+ "step": 4500
2790
+ },
2791
+ {
2792
+ "epoch": 90.2,
2793
+ "learning_rate": 6.0244897959183675e-06,
2794
+ "loss": 0.8452,
2795
+ "step": 4510
2796
+ },
2797
+ {
2798
+ "epoch": 90.4,
2799
+ "learning_rate": 5.902040816326531e-06,
2800
+ "loss": 0.8101,
2801
+ "step": 4520
2802
+ },
2803
+ {
2804
+ "epoch": 90.6,
2805
+ "learning_rate": 5.7795918367346945e-06,
2806
+ "loss": 0.8223,
2807
+ "step": 4530
2808
+ },
2809
+ {
2810
+ "epoch": 90.8,
2811
+ "learning_rate": 5.6571428571428576e-06,
2812
+ "loss": 0.813,
2813
+ "step": 4540
2814
+ },
2815
+ {
2816
+ "epoch": 91.0,
2817
+ "learning_rate": 5.534693877551021e-06,
2818
+ "loss": 0.7841,
2819
+ "step": 4550
2820
+ },
2821
+ {
2822
+ "epoch": 91.2,
2823
+ "learning_rate": 5.412244897959184e-06,
2824
+ "loss": 0.8426,
2825
+ "step": 4560
2826
+ },
2827
+ {
2828
+ "epoch": 91.4,
2829
+ "learning_rate": 5.2897959183673476e-06,
2830
+ "loss": 0.8095,
2831
+ "step": 4570
2832
+ },
2833
+ {
2834
+ "epoch": 91.6,
2835
+ "learning_rate": 5.167346938775511e-06,
2836
+ "loss": 0.8121,
2837
+ "step": 4580
2838
+ },
2839
+ {
2840
+ "epoch": 91.8,
2841
+ "learning_rate": 5.044897959183674e-06,
2842
+ "loss": 0.8114,
2843
+ "step": 4590
2844
+ },
2845
+ {
2846
+ "epoch": 92.0,
2847
+ "learning_rate": 4.922448979591837e-06,
2848
+ "loss": 0.7884,
2849
+ "step": 4600
2850
+ },
2851
+ {
2852
+ "epoch": 92.2,
2853
+ "learning_rate": 4.800000000000001e-06,
2854
+ "loss": 0.8417,
2855
+ "step": 4610
2856
+ },
2857
+ {
2858
+ "epoch": 92.4,
2859
+ "learning_rate": 4.677551020408164e-06,
2860
+ "loss": 0.8047,
2861
+ "step": 4620
2862
+ },
2863
+ {
2864
+ "epoch": 92.6,
2865
+ "learning_rate": 4.555102040816326e-06,
2866
+ "loss": 0.8168,
2867
+ "step": 4630
2868
+ },
2869
+ {
2870
+ "epoch": 92.8,
2871
+ "learning_rate": 4.43265306122449e-06,
2872
+ "loss": 0.8138,
2873
+ "step": 4640
2874
+ },
2875
+ {
2876
+ "epoch": 93.0,
2877
+ "learning_rate": 4.310204081632653e-06,
2878
+ "loss": 0.7879,
2879
+ "step": 4650
2880
+ },
2881
+ {
2882
+ "epoch": 93.2,
2883
+ "learning_rate": 4.187755102040817e-06,
2884
+ "loss": 0.8256,
2885
+ "step": 4660
2886
+ },
2887
+ {
2888
+ "epoch": 93.4,
2889
+ "learning_rate": 4.065306122448979e-06,
2890
+ "loss": 0.8187,
2891
+ "step": 4670
2892
+ },
2893
+ {
2894
+ "epoch": 93.6,
2895
+ "learning_rate": 3.942857142857143e-06,
2896
+ "loss": 0.8089,
2897
+ "step": 4680
2898
+ },
2899
+ {
2900
+ "epoch": 93.8,
2901
+ "learning_rate": 3.820408163265306e-06,
2902
+ "loss": 0.8059,
2903
+ "step": 4690
2904
+ },
2905
+ {
2906
+ "epoch": 94.0,
2907
+ "learning_rate": 3.6979591836734694e-06,
2908
+ "loss": 0.7852,
2909
+ "step": 4700
2910
+ },
2911
+ {
2912
+ "epoch": 94.2,
2913
+ "learning_rate": 3.575510204081633e-06,
2914
+ "loss": 0.846,
2915
+ "step": 4710
2916
+ },
2917
+ {
2918
+ "epoch": 94.4,
2919
+ "learning_rate": 3.4530612244897963e-06,
2920
+ "loss": 0.8134,
2921
+ "step": 4720
2922
+ },
2923
+ {
2924
+ "epoch": 94.6,
2925
+ "learning_rate": 3.3306122448979594e-06,
2926
+ "loss": 0.7982,
2927
+ "step": 4730
2928
+ },
2929
+ {
2930
+ "epoch": 94.8,
2931
+ "learning_rate": 3.208163265306123e-06,
2932
+ "loss": 0.8181,
2933
+ "step": 4740
2934
+ },
2935
+ {
2936
+ "epoch": 95.0,
2937
+ "learning_rate": 3.085714285714286e-06,
2938
+ "loss": 0.7856,
2939
+ "step": 4750
2940
+ },
2941
+ {
2942
+ "epoch": 95.2,
2943
+ "learning_rate": 2.963265306122449e-06,
2944
+ "loss": 0.8306,
2945
+ "step": 4760
2946
+ },
2947
+ {
2948
+ "epoch": 95.4,
2949
+ "learning_rate": 2.840816326530612e-06,
2950
+ "loss": 0.8227,
2951
+ "step": 4770
2952
+ },
2953
+ {
2954
+ "epoch": 95.6,
2955
+ "learning_rate": 2.7183673469387755e-06,
2956
+ "loss": 0.8109,
2957
+ "step": 4780
2958
+ },
2959
+ {
2960
+ "epoch": 95.8,
2961
+ "learning_rate": 2.5959183673469386e-06,
2962
+ "loss": 0.787,
2963
+ "step": 4790
2964
+ },
2965
+ {
2966
+ "epoch": 96.0,
2967
+ "learning_rate": 2.473469387755102e-06,
2968
+ "loss": 0.7832,
2969
+ "step": 4800
2970
+ },
2971
+ {
2972
+ "epoch": 96.2,
2973
+ "learning_rate": 2.351020408163265e-06,
2974
+ "loss": 0.8228,
2975
+ "step": 4810
2976
+ },
2977
+ {
2978
+ "epoch": 96.4,
2979
+ "learning_rate": 2.2285714285714286e-06,
2980
+ "loss": 0.8168,
2981
+ "step": 4820
2982
+ },
2983
+ {
2984
+ "epoch": 96.6,
2985
+ "learning_rate": 2.1061224489795916e-06,
2986
+ "loss": 0.8122,
2987
+ "step": 4830
2988
+ },
2989
+ {
2990
+ "epoch": 96.8,
2991
+ "learning_rate": 1.983673469387755e-06,
2992
+ "loss": 0.7942,
2993
+ "step": 4840
2994
+ },
2995
+ {
2996
+ "epoch": 97.0,
2997
+ "learning_rate": 1.8612244897959184e-06,
2998
+ "loss": 0.7948,
2999
+ "step": 4850
3000
+ },
3001
+ {
3002
+ "epoch": 97.2,
3003
+ "learning_rate": 1.7387755102040817e-06,
3004
+ "loss": 0.8036,
3005
+ "step": 4860
3006
+ },
3007
+ {
3008
+ "epoch": 97.4,
3009
+ "learning_rate": 1.616326530612245e-06,
3010
+ "loss": 0.815,
3011
+ "step": 4870
3012
+ },
3013
+ {
3014
+ "epoch": 97.6,
3015
+ "learning_rate": 1.4938775510204082e-06,
3016
+ "loss": 0.8111,
3017
+ "step": 4880
3018
+ },
3019
+ {
3020
+ "epoch": 97.8,
3021
+ "learning_rate": 1.3714285714285715e-06,
3022
+ "loss": 0.813,
3023
+ "step": 4890
3024
+ },
3025
+ {
3026
+ "epoch": 98.0,
3027
+ "learning_rate": 1.2489795918367347e-06,
3028
+ "loss": 0.7897,
3029
+ "step": 4900
3030
+ },
3031
+ {
3032
+ "epoch": 98.2,
3033
+ "learning_rate": 1.126530612244898e-06,
3034
+ "loss": 0.8249,
3035
+ "step": 4910
3036
+ },
3037
+ {
3038
+ "epoch": 98.4,
3039
+ "learning_rate": 1.0040816326530613e-06,
3040
+ "loss": 0.802,
3041
+ "step": 4920
3042
+ },
3043
+ {
3044
+ "epoch": 98.6,
3045
+ "learning_rate": 8.816326530612244e-07,
3046
+ "loss": 0.7912,
3047
+ "step": 4930
3048
+ },
3049
+ {
3050
+ "epoch": 98.8,
3051
+ "learning_rate": 7.591836734693878e-07,
3052
+ "loss": 0.8246,
3053
+ "step": 4940
3054
+ },
3055
+ {
3056
+ "epoch": 99.0,
3057
+ "learning_rate": 6.367346938775511e-07,
3058
+ "loss": 0.774,
3059
+ "step": 4950
3060
+ },
3061
+ {
3062
+ "epoch": 99.2,
3063
+ "learning_rate": 5.142857142857143e-07,
3064
+ "loss": 0.831,
3065
+ "step": 4960
3066
+ },
3067
+ {
3068
+ "epoch": 99.4,
3069
+ "learning_rate": 3.918367346938776e-07,
3070
+ "loss": 0.8066,
3071
+ "step": 4970
3072
+ },
3073
+ {
3074
+ "epoch": 99.6,
3075
+ "learning_rate": 2.693877551020408e-07,
3076
+ "loss": 0.8148,
3077
+ "step": 4980
3078
+ },
3079
+ {
3080
+ "epoch": 99.8,
3081
+ "learning_rate": 1.4693877551020407e-07,
3082
+ "loss": 0.8274,
3083
+ "step": 4990
3084
+ },
3085
+ {
3086
+ "epoch": 100.0,
3087
+ "learning_rate": 2.448979591836735e-08,
3088
+ "loss": 0.7769,
3089
+ "step": 5000
3090
+ },
3091
+ {
3092
+ "epoch": 100.0,
3093
+ "eval_loss": 0.3502330183982849,
3094
+ "eval_runtime": 245.5235,
3095
+ "eval_samples_per_second": 21.228,
3096
+ "eval_steps_per_second": 1.328,
3097
+ "eval_wer": 0.35502681314104234,
3098
+ "step": 5000
3099
+ },
3100
+ {
3101
+ "epoch": 100.0,
3102
+ "step": 5000,
3103
+ "total_flos": 1.6395774173071445e+20,
3104
+ "train_loss": 0.9013227667808533,
3105
+ "train_runtime": 60806.5864,
3106
+ "train_samples_per_second": 21.06,
3107
+ "train_steps_per_second": 0.082
3108
+ }
3109
+ ],
3110
+ "max_steps": 5000,
3111
+ "num_train_epochs": 100,
3112
+ "total_flos": 1.6395774173071445e+20,
3113
+ "trial_name": null,
3114
+ "trial_params": null
3115
+ }