End of training
Browse files- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Aug15_01-50-19_dsai-server/events.out.tfevents.1692081224.dsai-server +3 -0
- train_results.json +7 -0
- trainer_state.json +1270 -0
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.84,
|
3 |
+
"eval_loss": 0.3003479242324829,
|
4 |
+
"eval_runtime": 2440.1988,
|
5 |
+
"eval_samples_per_second": 1.484,
|
6 |
+
"eval_steps_per_second": 0.371,
|
7 |
+
"eval_wer": 12.454566367609846,
|
8 |
+
"train_loss": 0.13730322830528022,
|
9 |
+
"train_runtime": 39511.7663,
|
10 |
+
"train_samples_per_second": 1.012,
|
11 |
+
"train_steps_per_second": 0.127
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.84,
|
3 |
+
"eval_loss": 0.3003479242324829,
|
4 |
+
"eval_runtime": 2440.1988,
|
5 |
+
"eval_samples_per_second": 1.484,
|
6 |
+
"eval_steps_per_second": 0.371,
|
7 |
+
"eval_wer": 12.454566367609846
|
8 |
+
}
|
runs/Aug15_01-50-19_dsai-server/events.out.tfevents.1692081224.dsai-server
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c68f8edd156960d947cd0f8bf0909988fafab756b5e649c4d1f92facc11296f5
|
3 |
+
size 40
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.84,
|
3 |
+
"train_loss": 0.13730322830528022,
|
4 |
+
"train_runtime": 39511.7663,
|
5 |
+
"train_samples_per_second": 1.012,
|
6 |
+
"train_steps_per_second": 0.127
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1270 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 12.454566367609846,
|
3 |
+
"best_model_checkpoint": "./output/small/cv9-special-batch8-2lr-small/checkpoint-5000",
|
4 |
+
"epoch": 4.84027105517909,
|
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": 0.02,
|
12 |
+
"learning_rate": 8.8e-07,
|
13 |
+
"loss": 1.2804,
|
14 |
+
"step": 25
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.05,
|
18 |
+
"learning_rate": 1.8800000000000002e-06,
|
19 |
+
"loss": 1.1403,
|
20 |
+
"step": 50
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.07,
|
24 |
+
"learning_rate": 2.88e-06,
|
25 |
+
"loss": 0.7479,
|
26 |
+
"step": 75
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.1,
|
30 |
+
"learning_rate": 3.88e-06,
|
31 |
+
"loss": 0.5417,
|
32 |
+
"step": 100
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.12,
|
36 |
+
"learning_rate": 4.880000000000001e-06,
|
37 |
+
"loss": 0.467,
|
38 |
+
"step": 125
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.15,
|
42 |
+
"learning_rate": 5.8800000000000005e-06,
|
43 |
+
"loss": 0.4304,
|
44 |
+
"step": 150
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.17,
|
48 |
+
"learning_rate": 6.88e-06,
|
49 |
+
"loss": 0.4375,
|
50 |
+
"step": 175
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.19,
|
54 |
+
"learning_rate": 7.88e-06,
|
55 |
+
"loss": 0.436,
|
56 |
+
"step": 200
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.22,
|
60 |
+
"learning_rate": 8.880000000000001e-06,
|
61 |
+
"loss": 0.3625,
|
62 |
+
"step": 225
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.24,
|
66 |
+
"learning_rate": 9.88e-06,
|
67 |
+
"loss": 0.3659,
|
68 |
+
"step": 250
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.27,
|
72 |
+
"learning_rate": 1.0880000000000001e-05,
|
73 |
+
"loss": 0.4069,
|
74 |
+
"step": 275
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.29,
|
78 |
+
"learning_rate": 1.188e-05,
|
79 |
+
"loss": 0.4047,
|
80 |
+
"step": 300
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.31,
|
84 |
+
"learning_rate": 1.2880000000000002e-05,
|
85 |
+
"loss": 0.3636,
|
86 |
+
"step": 325
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.34,
|
90 |
+
"learning_rate": 1.3880000000000001e-05,
|
91 |
+
"loss": 0.3875,
|
92 |
+
"step": 350
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.36,
|
96 |
+
"learning_rate": 1.4880000000000002e-05,
|
97 |
+
"loss": 0.4207,
|
98 |
+
"step": 375
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.39,
|
102 |
+
"learning_rate": 1.588e-05,
|
103 |
+
"loss": 0.4002,
|
104 |
+
"step": 400
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.41,
|
108 |
+
"learning_rate": 1.688e-05,
|
109 |
+
"loss": 0.379,
|
110 |
+
"step": 425
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.44,
|
114 |
+
"learning_rate": 1.788e-05,
|
115 |
+
"loss": 0.4032,
|
116 |
+
"step": 450
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.46,
|
120 |
+
"learning_rate": 1.8880000000000002e-05,
|
121 |
+
"loss": 0.3423,
|
122 |
+
"step": 475
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.48,
|
126 |
+
"learning_rate": 1.9880000000000003e-05,
|
127 |
+
"loss": 0.3676,
|
128 |
+
"step": 500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.51,
|
132 |
+
"learning_rate": 1.9902222222222222e-05,
|
133 |
+
"loss": 0.4074,
|
134 |
+
"step": 525
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.53,
|
138 |
+
"learning_rate": 1.9791111111111113e-05,
|
139 |
+
"loss": 0.3594,
|
140 |
+
"step": 550
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.56,
|
144 |
+
"learning_rate": 1.968e-05,
|
145 |
+
"loss": 0.3835,
|
146 |
+
"step": 575
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.58,
|
150 |
+
"learning_rate": 1.956888888888889e-05,
|
151 |
+
"loss": 0.4108,
|
152 |
+
"step": 600
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.61,
|
156 |
+
"learning_rate": 1.945777777777778e-05,
|
157 |
+
"loss": 0.3742,
|
158 |
+
"step": 625
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.63,
|
162 |
+
"learning_rate": 1.934666666666667e-05,
|
163 |
+
"loss": 0.345,
|
164 |
+
"step": 650
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.65,
|
168 |
+
"learning_rate": 1.9235555555555557e-05,
|
169 |
+
"loss": 0.3801,
|
170 |
+
"step": 675
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.68,
|
174 |
+
"learning_rate": 1.9124444444444445e-05,
|
175 |
+
"loss": 0.3891,
|
176 |
+
"step": 700
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.7,
|
180 |
+
"learning_rate": 1.9013333333333333e-05,
|
181 |
+
"loss": 0.424,
|
182 |
+
"step": 725
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.73,
|
186 |
+
"learning_rate": 1.8902222222222225e-05,
|
187 |
+
"loss": 0.3617,
|
188 |
+
"step": 750
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.75,
|
192 |
+
"learning_rate": 1.8791111111111113e-05,
|
193 |
+
"loss": 0.3896,
|
194 |
+
"step": 775
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.77,
|
198 |
+
"learning_rate": 1.8680000000000004e-05,
|
199 |
+
"loss": 0.3367,
|
200 |
+
"step": 800
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.8,
|
204 |
+
"learning_rate": 1.856888888888889e-05,
|
205 |
+
"loss": 0.3482,
|
206 |
+
"step": 825
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.82,
|
210 |
+
"learning_rate": 1.845777777777778e-05,
|
211 |
+
"loss": 0.3481,
|
212 |
+
"step": 850
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.85,
|
216 |
+
"learning_rate": 1.834666666666667e-05,
|
217 |
+
"loss": 0.3334,
|
218 |
+
"step": 875
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.87,
|
222 |
+
"learning_rate": 1.8235555555555556e-05,
|
223 |
+
"loss": 0.3513,
|
224 |
+
"step": 900
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.9,
|
228 |
+
"learning_rate": 1.8124444444444448e-05,
|
229 |
+
"loss": 0.3815,
|
230 |
+
"step": 925
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.92,
|
234 |
+
"learning_rate": 1.8013333333333333e-05,
|
235 |
+
"loss": 0.3367,
|
236 |
+
"step": 950
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.94,
|
240 |
+
"learning_rate": 1.7902222222222224e-05,
|
241 |
+
"loss": 0.3788,
|
242 |
+
"step": 975
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.97,
|
246 |
+
"learning_rate": 1.7791111111111112e-05,
|
247 |
+
"loss": 0.3346,
|
248 |
+
"step": 1000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.97,
|
252 |
+
"eval_loss": 0.29453718662261963,
|
253 |
+
"eval_runtime": 2785.773,
|
254 |
+
"eval_samples_per_second": 1.3,
|
255 |
+
"eval_steps_per_second": 0.325,
|
256 |
+
"eval_wer": 17.115251897860592,
|
257 |
+
"step": 1000
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.99,
|
261 |
+
"learning_rate": 1.768e-05,
|
262 |
+
"loss": 0.4037,
|
263 |
+
"step": 1025
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.02,
|
267 |
+
"learning_rate": 1.756888888888889e-05,
|
268 |
+
"loss": 0.2413,
|
269 |
+
"step": 1050
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.04,
|
273 |
+
"learning_rate": 1.745777777777778e-05,
|
274 |
+
"loss": 0.1541,
|
275 |
+
"step": 1075
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.06,
|
279 |
+
"learning_rate": 1.7346666666666668e-05,
|
280 |
+
"loss": 0.1564,
|
281 |
+
"step": 1100
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 1.09,
|
285 |
+
"learning_rate": 1.7235555555555556e-05,
|
286 |
+
"loss": 0.1682,
|
287 |
+
"step": 1125
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 1.11,
|
291 |
+
"learning_rate": 1.7124444444444447e-05,
|
292 |
+
"loss": 0.158,
|
293 |
+
"step": 1150
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 1.14,
|
297 |
+
"learning_rate": 1.7013333333333335e-05,
|
298 |
+
"loss": 0.1546,
|
299 |
+
"step": 1175
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 1.16,
|
303 |
+
"learning_rate": 1.6902222222222223e-05,
|
304 |
+
"loss": 0.1525,
|
305 |
+
"step": 1200
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.19,
|
309 |
+
"learning_rate": 1.6791111111111115e-05,
|
310 |
+
"loss": 0.135,
|
311 |
+
"step": 1225
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 1.21,
|
315 |
+
"learning_rate": 1.668e-05,
|
316 |
+
"loss": 0.1567,
|
317 |
+
"step": 1250
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.23,
|
321 |
+
"learning_rate": 1.656888888888889e-05,
|
322 |
+
"loss": 0.1639,
|
323 |
+
"step": 1275
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 1.26,
|
327 |
+
"learning_rate": 1.645777777777778e-05,
|
328 |
+
"loss": 0.1502,
|
329 |
+
"step": 1300
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.28,
|
333 |
+
"learning_rate": 1.6346666666666667e-05,
|
334 |
+
"loss": 0.1556,
|
335 |
+
"step": 1325
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 1.31,
|
339 |
+
"learning_rate": 1.623555555555556e-05,
|
340 |
+
"loss": 0.1454,
|
341 |
+
"step": 1350
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 1.33,
|
345 |
+
"learning_rate": 1.6124444444444443e-05,
|
346 |
+
"loss": 0.1723,
|
347 |
+
"step": 1375
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 1.36,
|
351 |
+
"learning_rate": 1.6013333333333335e-05,
|
352 |
+
"loss": 0.1418,
|
353 |
+
"step": 1400
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 1.38,
|
357 |
+
"learning_rate": 1.5902222222222223e-05,
|
358 |
+
"loss": 0.1589,
|
359 |
+
"step": 1425
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.4,
|
363 |
+
"learning_rate": 1.5791111111111114e-05,
|
364 |
+
"loss": 0.1529,
|
365 |
+
"step": 1450
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 1.43,
|
369 |
+
"learning_rate": 1.5680000000000002e-05,
|
370 |
+
"loss": 0.151,
|
371 |
+
"step": 1475
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 1.45,
|
375 |
+
"learning_rate": 1.556888888888889e-05,
|
376 |
+
"loss": 0.1903,
|
377 |
+
"step": 1500
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.48,
|
381 |
+
"learning_rate": 1.545777777777778e-05,
|
382 |
+
"loss": 0.1357,
|
383 |
+
"step": 1525
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 1.5,
|
387 |
+
"learning_rate": 1.5346666666666667e-05,
|
388 |
+
"loss": 0.1739,
|
389 |
+
"step": 1550
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.52,
|
393 |
+
"learning_rate": 1.5235555555555556e-05,
|
394 |
+
"loss": 0.1593,
|
395 |
+
"step": 1575
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.55,
|
399 |
+
"learning_rate": 1.5124444444444446e-05,
|
400 |
+
"loss": 0.1578,
|
401 |
+
"step": 1600
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.57,
|
405 |
+
"learning_rate": 1.5013333333333336e-05,
|
406 |
+
"loss": 0.1504,
|
407 |
+
"step": 1625
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 1.6,
|
411 |
+
"learning_rate": 1.4902222222222222e-05,
|
412 |
+
"loss": 0.1408,
|
413 |
+
"step": 1650
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 1.62,
|
417 |
+
"learning_rate": 1.4791111111111112e-05,
|
418 |
+
"loss": 0.172,
|
419 |
+
"step": 1675
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 1.65,
|
423 |
+
"learning_rate": 1.4680000000000002e-05,
|
424 |
+
"loss": 0.173,
|
425 |
+
"step": 1700
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.67,
|
429 |
+
"learning_rate": 1.456888888888889e-05,
|
430 |
+
"loss": 0.1618,
|
431 |
+
"step": 1725
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.69,
|
435 |
+
"learning_rate": 1.445777777777778e-05,
|
436 |
+
"loss": 0.1406,
|
437 |
+
"step": 1750
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.72,
|
441 |
+
"learning_rate": 1.434666666666667e-05,
|
442 |
+
"loss": 0.1637,
|
443 |
+
"step": 1775
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.74,
|
447 |
+
"learning_rate": 1.4235555555555556e-05,
|
448 |
+
"loss": 0.1661,
|
449 |
+
"step": 1800
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.77,
|
453 |
+
"learning_rate": 1.4124444444444445e-05,
|
454 |
+
"loss": 0.153,
|
455 |
+
"step": 1825
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.79,
|
459 |
+
"learning_rate": 1.4013333333333334e-05,
|
460 |
+
"loss": 0.1421,
|
461 |
+
"step": 1850
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.82,
|
465 |
+
"learning_rate": 1.3902222222222223e-05,
|
466 |
+
"loss": 0.1561,
|
467 |
+
"step": 1875
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 1.84,
|
471 |
+
"learning_rate": 1.3791111111111113e-05,
|
472 |
+
"loss": 0.1402,
|
473 |
+
"step": 1900
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.86,
|
477 |
+
"learning_rate": 1.3680000000000003e-05,
|
478 |
+
"loss": 0.1485,
|
479 |
+
"step": 1925
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.89,
|
483 |
+
"learning_rate": 1.356888888888889e-05,
|
484 |
+
"loss": 0.1627,
|
485 |
+
"step": 1950
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.91,
|
489 |
+
"learning_rate": 1.3457777777777779e-05,
|
490 |
+
"loss": 0.1467,
|
491 |
+
"step": 1975
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 1.94,
|
495 |
+
"learning_rate": 1.3346666666666667e-05,
|
496 |
+
"loss": 0.1474,
|
497 |
+
"step": 2000
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 1.94,
|
501 |
+
"eval_loss": 0.2713002860546112,
|
502 |
+
"eval_runtime": 2604.138,
|
503 |
+
"eval_samples_per_second": 1.391,
|
504 |
+
"eval_steps_per_second": 0.348,
|
505 |
+
"eval_wer": 14.639981596503334,
|
506 |
+
"step": 2000
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.96,
|
510 |
+
"learning_rate": 1.3235555555555557e-05,
|
511 |
+
"loss": 0.1473,
|
512 |
+
"step": 2025
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 1.98,
|
516 |
+
"learning_rate": 1.3124444444444447e-05,
|
517 |
+
"loss": 0.1795,
|
518 |
+
"step": 2050
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 2.01,
|
522 |
+
"learning_rate": 1.3013333333333333e-05,
|
523 |
+
"loss": 0.1153,
|
524 |
+
"step": 2075
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 2.03,
|
528 |
+
"learning_rate": 1.2902222222222223e-05,
|
529 |
+
"loss": 0.045,
|
530 |
+
"step": 2100
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 2.06,
|
534 |
+
"learning_rate": 1.2791111111111112e-05,
|
535 |
+
"loss": 0.0451,
|
536 |
+
"step": 2125
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 2.08,
|
540 |
+
"learning_rate": 1.268e-05,
|
541 |
+
"loss": 0.0524,
|
542 |
+
"step": 2150
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 2.11,
|
546 |
+
"learning_rate": 1.256888888888889e-05,
|
547 |
+
"loss": 0.0509,
|
548 |
+
"step": 2175
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 2.13,
|
552 |
+
"learning_rate": 1.245777777777778e-05,
|
553 |
+
"loss": 0.0506,
|
554 |
+
"step": 2200
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 2.15,
|
558 |
+
"learning_rate": 1.2346666666666666e-05,
|
559 |
+
"loss": 0.0497,
|
560 |
+
"step": 2225
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 2.18,
|
564 |
+
"learning_rate": 1.2235555555555556e-05,
|
565 |
+
"loss": 0.0536,
|
566 |
+
"step": 2250
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 2.2,
|
570 |
+
"learning_rate": 1.2124444444444446e-05,
|
571 |
+
"loss": 0.0535,
|
572 |
+
"step": 2275
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 2.23,
|
576 |
+
"learning_rate": 1.2013333333333334e-05,
|
577 |
+
"loss": 0.0538,
|
578 |
+
"step": 2300
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 2.25,
|
582 |
+
"learning_rate": 1.1902222222222224e-05,
|
583 |
+
"loss": 0.0507,
|
584 |
+
"step": 2325
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 2.27,
|
588 |
+
"learning_rate": 1.1791111111111114e-05,
|
589 |
+
"loss": 0.0485,
|
590 |
+
"step": 2350
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 2.3,
|
594 |
+
"learning_rate": 1.168e-05,
|
595 |
+
"loss": 0.0487,
|
596 |
+
"step": 2375
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 2.32,
|
600 |
+
"learning_rate": 1.156888888888889e-05,
|
601 |
+
"loss": 0.0635,
|
602 |
+
"step": 2400
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 2.35,
|
606 |
+
"learning_rate": 1.145777777777778e-05,
|
607 |
+
"loss": 0.0555,
|
608 |
+
"step": 2425
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.37,
|
612 |
+
"learning_rate": 1.1346666666666668e-05,
|
613 |
+
"loss": 0.0561,
|
614 |
+
"step": 2450
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 2.4,
|
618 |
+
"learning_rate": 1.1235555555555557e-05,
|
619 |
+
"loss": 0.0728,
|
620 |
+
"step": 2475
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 2.42,
|
624 |
+
"learning_rate": 1.1124444444444444e-05,
|
625 |
+
"loss": 0.0446,
|
626 |
+
"step": 2500
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 2.44,
|
630 |
+
"learning_rate": 1.1013333333333333e-05,
|
631 |
+
"loss": 0.0494,
|
632 |
+
"step": 2525
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.47,
|
636 |
+
"learning_rate": 1.0902222222222223e-05,
|
637 |
+
"loss": 0.0503,
|
638 |
+
"step": 2550
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 2.49,
|
642 |
+
"learning_rate": 1.0791111111111113e-05,
|
643 |
+
"loss": 0.0498,
|
644 |
+
"step": 2575
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 2.52,
|
648 |
+
"learning_rate": 1.0680000000000001e-05,
|
649 |
+
"loss": 0.0606,
|
650 |
+
"step": 2600
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 2.54,
|
654 |
+
"learning_rate": 1.0568888888888891e-05,
|
655 |
+
"loss": 0.0486,
|
656 |
+
"step": 2625
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 2.57,
|
660 |
+
"learning_rate": 1.0457777777777777e-05,
|
661 |
+
"loss": 0.0656,
|
662 |
+
"step": 2650
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 2.59,
|
666 |
+
"learning_rate": 1.0346666666666667e-05,
|
667 |
+
"loss": 0.0494,
|
668 |
+
"step": 2675
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 2.61,
|
672 |
+
"learning_rate": 1.0235555555555557e-05,
|
673 |
+
"loss": 0.0569,
|
674 |
+
"step": 2700
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.64,
|
678 |
+
"learning_rate": 1.0124444444444445e-05,
|
679 |
+
"loss": 0.0464,
|
680 |
+
"step": 2725
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 2.66,
|
684 |
+
"learning_rate": 1.0013333333333335e-05,
|
685 |
+
"loss": 0.0635,
|
686 |
+
"step": 2750
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 2.69,
|
690 |
+
"learning_rate": 9.902222222222223e-06,
|
691 |
+
"loss": 0.0499,
|
692 |
+
"step": 2775
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.71,
|
696 |
+
"learning_rate": 9.791111111111112e-06,
|
697 |
+
"loss": 0.0484,
|
698 |
+
"step": 2800
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 2.73,
|
702 |
+
"learning_rate": 9.68e-06,
|
703 |
+
"loss": 0.0484,
|
704 |
+
"step": 2825
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 2.76,
|
708 |
+
"learning_rate": 9.56888888888889e-06,
|
709 |
+
"loss": 0.0515,
|
710 |
+
"step": 2850
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 2.78,
|
714 |
+
"learning_rate": 9.457777777777778e-06,
|
715 |
+
"loss": 0.0473,
|
716 |
+
"step": 2875
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 2.81,
|
720 |
+
"learning_rate": 9.346666666666666e-06,
|
721 |
+
"loss": 0.0552,
|
722 |
+
"step": 2900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 2.83,
|
726 |
+
"learning_rate": 9.235555555555556e-06,
|
727 |
+
"loss": 0.0477,
|
728 |
+
"step": 2925
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 2.86,
|
732 |
+
"learning_rate": 9.124444444444444e-06,
|
733 |
+
"loss": 0.0504,
|
734 |
+
"step": 2950
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.88,
|
738 |
+
"learning_rate": 9.013333333333334e-06,
|
739 |
+
"loss": 0.0527,
|
740 |
+
"step": 2975
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 2.9,
|
744 |
+
"learning_rate": 8.902222222222224e-06,
|
745 |
+
"loss": 0.052,
|
746 |
+
"step": 3000
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 2.9,
|
750 |
+
"eval_loss": 0.27132648229599,
|
751 |
+
"eval_runtime": 2600.2688,
|
752 |
+
"eval_samples_per_second": 1.393,
|
753 |
+
"eval_steps_per_second": 0.348,
|
754 |
+
"eval_wer": 14.124683689901083,
|
755 |
+
"step": 3000
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 2.93,
|
759 |
+
"learning_rate": 8.791111111111112e-06,
|
760 |
+
"loss": 0.0431,
|
761 |
+
"step": 3025
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 2.95,
|
765 |
+
"learning_rate": 8.68e-06,
|
766 |
+
"loss": 0.0576,
|
767 |
+
"step": 3050
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 2.98,
|
771 |
+
"learning_rate": 8.56888888888889e-06,
|
772 |
+
"loss": 0.045,
|
773 |
+
"step": 3075
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 3.0,
|
777 |
+
"learning_rate": 8.457777777777778e-06,
|
778 |
+
"loss": 0.0468,
|
779 |
+
"step": 3100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 3.03,
|
783 |
+
"learning_rate": 8.346666666666668e-06,
|
784 |
+
"loss": 0.0196,
|
785 |
+
"step": 3125
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 3.05,
|
789 |
+
"learning_rate": 8.235555555555557e-06,
|
790 |
+
"loss": 0.0201,
|
791 |
+
"step": 3150
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 3.07,
|
795 |
+
"learning_rate": 8.124444444444445e-06,
|
796 |
+
"loss": 0.0224,
|
797 |
+
"step": 3175
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 3.1,
|
801 |
+
"learning_rate": 8.013333333333333e-06,
|
802 |
+
"loss": 0.0251,
|
803 |
+
"step": 3200
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 3.12,
|
807 |
+
"learning_rate": 7.902222222222223e-06,
|
808 |
+
"loss": 0.0287,
|
809 |
+
"step": 3225
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 3.15,
|
813 |
+
"learning_rate": 7.791111111111111e-06,
|
814 |
+
"loss": 0.0164,
|
815 |
+
"step": 3250
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 3.17,
|
819 |
+
"learning_rate": 7.680000000000001e-06,
|
820 |
+
"loss": 0.0215,
|
821 |
+
"step": 3275
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 3.19,
|
825 |
+
"learning_rate": 7.56888888888889e-06,
|
826 |
+
"loss": 0.0178,
|
827 |
+
"step": 3300
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 3.22,
|
831 |
+
"learning_rate": 7.457777777777778e-06,
|
832 |
+
"loss": 0.0162,
|
833 |
+
"step": 3325
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 3.24,
|
837 |
+
"learning_rate": 7.346666666666668e-06,
|
838 |
+
"loss": 0.0125,
|
839 |
+
"step": 3350
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 3.27,
|
843 |
+
"learning_rate": 7.235555555555556e-06,
|
844 |
+
"loss": 0.0252,
|
845 |
+
"step": 3375
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 3.29,
|
849 |
+
"learning_rate": 7.124444444444445e-06,
|
850 |
+
"loss": 0.0193,
|
851 |
+
"step": 3400
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 3.32,
|
855 |
+
"learning_rate": 7.0133333333333345e-06,
|
856 |
+
"loss": 0.0144,
|
857 |
+
"step": 3425
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 3.34,
|
861 |
+
"learning_rate": 6.902222222222223e-06,
|
862 |
+
"loss": 0.0133,
|
863 |
+
"step": 3450
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 3.36,
|
867 |
+
"learning_rate": 6.7911111111111115e-06,
|
868 |
+
"loss": 0.0187,
|
869 |
+
"step": 3475
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 3.39,
|
873 |
+
"learning_rate": 6.680000000000001e-06,
|
874 |
+
"loss": 0.0208,
|
875 |
+
"step": 3500
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 3.41,
|
879 |
+
"learning_rate": 6.568888888888889e-06,
|
880 |
+
"loss": 0.0141,
|
881 |
+
"step": 3525
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 3.44,
|
885 |
+
"learning_rate": 6.457777777777778e-06,
|
886 |
+
"loss": 0.0165,
|
887 |
+
"step": 3550
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"epoch": 3.46,
|
891 |
+
"learning_rate": 6.346666666666668e-06,
|
892 |
+
"loss": 0.0157,
|
893 |
+
"step": 3575
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 3.48,
|
897 |
+
"learning_rate": 6.235555555555556e-06,
|
898 |
+
"loss": 0.0188,
|
899 |
+
"step": 3600
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 3.51,
|
903 |
+
"learning_rate": 6.124444444444445e-06,
|
904 |
+
"loss": 0.0172,
|
905 |
+
"step": 3625
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 3.53,
|
909 |
+
"learning_rate": 6.013333333333335e-06,
|
910 |
+
"loss": 0.0189,
|
911 |
+
"step": 3650
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 3.56,
|
915 |
+
"learning_rate": 5.902222222222223e-06,
|
916 |
+
"loss": 0.0176,
|
917 |
+
"step": 3675
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 3.58,
|
921 |
+
"learning_rate": 5.791111111111112e-06,
|
922 |
+
"loss": 0.0202,
|
923 |
+
"step": 3700
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 3.61,
|
927 |
+
"learning_rate": 5.68e-06,
|
928 |
+
"loss": 0.0155,
|
929 |
+
"step": 3725
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 3.63,
|
933 |
+
"learning_rate": 5.56888888888889e-06,
|
934 |
+
"loss": 0.0176,
|
935 |
+
"step": 3750
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 3.65,
|
939 |
+
"learning_rate": 5.4577777777777785e-06,
|
940 |
+
"loss": 0.0167,
|
941 |
+
"step": 3775
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 3.68,
|
945 |
+
"learning_rate": 5.346666666666667e-06,
|
946 |
+
"loss": 0.0143,
|
947 |
+
"step": 3800
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 3.7,
|
951 |
+
"learning_rate": 5.235555555555556e-06,
|
952 |
+
"loss": 0.0196,
|
953 |
+
"step": 3825
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 3.73,
|
957 |
+
"learning_rate": 5.124444444444445e-06,
|
958 |
+
"loss": 0.0228,
|
959 |
+
"step": 3850
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 3.75,
|
963 |
+
"learning_rate": 5.013333333333333e-06,
|
964 |
+
"loss": 0.016,
|
965 |
+
"step": 3875
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 3.78,
|
969 |
+
"learning_rate": 4.902222222222222e-06,
|
970 |
+
"loss": 0.0124,
|
971 |
+
"step": 3900
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 3.8,
|
975 |
+
"learning_rate": 4.791111111111111e-06,
|
976 |
+
"loss": 0.0139,
|
977 |
+
"step": 3925
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 3.82,
|
981 |
+
"learning_rate": 4.680000000000001e-06,
|
982 |
+
"loss": 0.0126,
|
983 |
+
"step": 3950
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 3.85,
|
987 |
+
"learning_rate": 4.568888888888889e-06,
|
988 |
+
"loss": 0.0154,
|
989 |
+
"step": 3975
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 3.87,
|
993 |
+
"learning_rate": 4.457777777777778e-06,
|
994 |
+
"loss": 0.0142,
|
995 |
+
"step": 4000
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 3.87,
|
999 |
+
"eval_loss": 0.2881431579589844,
|
1000 |
+
"eval_runtime": 2586.854,
|
1001 |
+
"eval_samples_per_second": 1.4,
|
1002 |
+
"eval_steps_per_second": 0.35,
|
1003 |
+
"eval_wer": 12.82723717506326,
|
1004 |
+
"step": 4000
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 3.9,
|
1008 |
+
"learning_rate": 4.346666666666667e-06,
|
1009 |
+
"loss": 0.0147,
|
1010 |
+
"step": 4025
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 3.92,
|
1014 |
+
"learning_rate": 4.235555555555556e-06,
|
1015 |
+
"loss": 0.0153,
|
1016 |
+
"step": 4050
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 3.94,
|
1020 |
+
"learning_rate": 4.124444444444445e-06,
|
1021 |
+
"loss": 0.0133,
|
1022 |
+
"step": 4075
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 3.97,
|
1026 |
+
"learning_rate": 4.013333333333334e-06,
|
1027 |
+
"loss": 0.0122,
|
1028 |
+
"step": 4100
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 3.99,
|
1032 |
+
"learning_rate": 3.9022222222222225e-06,
|
1033 |
+
"loss": 0.0141,
|
1034 |
+
"step": 4125
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 4.02,
|
1038 |
+
"learning_rate": 3.7911111111111114e-06,
|
1039 |
+
"loss": 0.0072,
|
1040 |
+
"step": 4150
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 4.04,
|
1044 |
+
"learning_rate": 3.6800000000000003e-06,
|
1045 |
+
"loss": 0.0051,
|
1046 |
+
"step": 4175
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 4.07,
|
1050 |
+
"learning_rate": 3.568888888888889e-06,
|
1051 |
+
"loss": 0.0051,
|
1052 |
+
"step": 4200
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 4.09,
|
1056 |
+
"learning_rate": 3.457777777777778e-06,
|
1057 |
+
"loss": 0.0062,
|
1058 |
+
"step": 4225
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 4.11,
|
1062 |
+
"learning_rate": 3.346666666666667e-06,
|
1063 |
+
"loss": 0.0053,
|
1064 |
+
"step": 4250
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 4.14,
|
1068 |
+
"learning_rate": 3.2355555555555556e-06,
|
1069 |
+
"loss": 0.0059,
|
1070 |
+
"step": 4275
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 4.16,
|
1074 |
+
"learning_rate": 3.124444444444445e-06,
|
1075 |
+
"loss": 0.0046,
|
1076 |
+
"step": 4300
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 4.19,
|
1080 |
+
"learning_rate": 3.013333333333334e-06,
|
1081 |
+
"loss": 0.0034,
|
1082 |
+
"step": 4325
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 4.21,
|
1086 |
+
"learning_rate": 2.9022222222222223e-06,
|
1087 |
+
"loss": 0.0058,
|
1088 |
+
"step": 4350
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 4.24,
|
1092 |
+
"learning_rate": 2.7911111111111113e-06,
|
1093 |
+
"loss": 0.0041,
|
1094 |
+
"step": 4375
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 4.26,
|
1098 |
+
"learning_rate": 2.68e-06,
|
1099 |
+
"loss": 0.0041,
|
1100 |
+
"step": 4400
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 4.28,
|
1104 |
+
"learning_rate": 2.568888888888889e-06,
|
1105 |
+
"loss": 0.003,
|
1106 |
+
"step": 4425
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 4.31,
|
1110 |
+
"learning_rate": 2.457777777777778e-06,
|
1111 |
+
"loss": 0.0038,
|
1112 |
+
"step": 4450
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 4.33,
|
1116 |
+
"learning_rate": 2.346666666666667e-06,
|
1117 |
+
"loss": 0.0054,
|
1118 |
+
"step": 4475
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 4.36,
|
1122 |
+
"learning_rate": 2.235555555555556e-06,
|
1123 |
+
"loss": 0.0045,
|
1124 |
+
"step": 4500
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 4.38,
|
1128 |
+
"learning_rate": 2.1244444444444443e-06,
|
1129 |
+
"loss": 0.0034,
|
1130 |
+
"step": 4525
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 4.4,
|
1134 |
+
"learning_rate": 2.0133333333333337e-06,
|
1135 |
+
"loss": 0.0031,
|
1136 |
+
"step": 4550
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 4.43,
|
1140 |
+
"learning_rate": 1.9022222222222222e-06,
|
1141 |
+
"loss": 0.0036,
|
1142 |
+
"step": 4575
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 4.45,
|
1146 |
+
"learning_rate": 1.7911111111111113e-06,
|
1147 |
+
"loss": 0.007,
|
1148 |
+
"step": 4600
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 4.48,
|
1152 |
+
"learning_rate": 1.6800000000000002e-06,
|
1153 |
+
"loss": 0.004,
|
1154 |
+
"step": 4625
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 4.5,
|
1158 |
+
"learning_rate": 1.568888888888889e-06,
|
1159 |
+
"loss": 0.0034,
|
1160 |
+
"step": 4650
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 4.53,
|
1164 |
+
"learning_rate": 1.457777777777778e-06,
|
1165 |
+
"loss": 0.0071,
|
1166 |
+
"step": 4675
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 4.55,
|
1170 |
+
"learning_rate": 1.3466666666666668e-06,
|
1171 |
+
"loss": 0.0066,
|
1172 |
+
"step": 4700
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 4.57,
|
1176 |
+
"learning_rate": 1.2355555555555557e-06,
|
1177 |
+
"loss": 0.0052,
|
1178 |
+
"step": 4725
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 4.6,
|
1182 |
+
"learning_rate": 1.1244444444444446e-06,
|
1183 |
+
"loss": 0.0036,
|
1184 |
+
"step": 4750
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 4.62,
|
1188 |
+
"learning_rate": 1.0133333333333333e-06,
|
1189 |
+
"loss": 0.0058,
|
1190 |
+
"step": 4775
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 4.65,
|
1194 |
+
"learning_rate": 9.022222222222222e-07,
|
1195 |
+
"loss": 0.0054,
|
1196 |
+
"step": 4800
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 4.67,
|
1200 |
+
"learning_rate": 7.911111111111111e-07,
|
1201 |
+
"loss": 0.0028,
|
1202 |
+
"step": 4825
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 4.7,
|
1206 |
+
"learning_rate": 6.800000000000001e-07,
|
1207 |
+
"loss": 0.0034,
|
1208 |
+
"step": 4850
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 4.72,
|
1212 |
+
"learning_rate": 5.68888888888889e-07,
|
1213 |
+
"loss": 0.0049,
|
1214 |
+
"step": 4875
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 4.74,
|
1218 |
+
"learning_rate": 4.5777777777777784e-07,
|
1219 |
+
"loss": 0.0035,
|
1220 |
+
"step": 4900
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 4.77,
|
1224 |
+
"learning_rate": 3.466666666666667e-07,
|
1225 |
+
"loss": 0.0038,
|
1226 |
+
"step": 4925
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 4.79,
|
1230 |
+
"learning_rate": 2.3555555555555556e-07,
|
1231 |
+
"loss": 0.0039,
|
1232 |
+
"step": 4950
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 4.82,
|
1236 |
+
"learning_rate": 1.2444444444444446e-07,
|
1237 |
+
"loss": 0.0038,
|
1238 |
+
"step": 4975
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 4.84,
|
1242 |
+
"learning_rate": 1.3333333333333334e-08,
|
1243 |
+
"loss": 0.0034,
|
1244 |
+
"step": 5000
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 4.84,
|
1248 |
+
"eval_loss": 0.3003479242324829,
|
1249 |
+
"eval_runtime": 2589.8653,
|
1250 |
+
"eval_samples_per_second": 1.399,
|
1251 |
+
"eval_steps_per_second": 0.35,
|
1252 |
+
"eval_wer": 12.454566367609846,
|
1253 |
+
"step": 5000
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 4.84,
|
1257 |
+
"step": 5000,
|
1258 |
+
"total_flos": 1.153995298799616e+19,
|
1259 |
+
"train_loss": 0.13730322830528022,
|
1260 |
+
"train_runtime": 39511.7663,
|
1261 |
+
"train_samples_per_second": 1.012,
|
1262 |
+
"train_steps_per_second": 0.127
|
1263 |
+
}
|
1264 |
+
],
|
1265 |
+
"max_steps": 5000,
|
1266 |
+
"num_train_epochs": 5,
|
1267 |
+
"total_flos": 1.153995298799616e+19,
|
1268 |
+
"trial_name": null,
|
1269 |
+
"trial_params": null
|
1270 |
+
}
|