End of training
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- runs/Jan26_00-02-24_job-fa775f5b-8438-4c3d-95fa-ed70ddaee577/events.out.tfevents.1643155382.job-fa775f5b-8438-4c3d-95fa-ed70ddaee577.14643.0 +2 -2
- runs/Jan26_00-02-24_job-fa775f5b-8438-4c3d-95fa-ed70ddaee577/events.out.tfevents.1643225941.job-fa775f5b-8438-4c3d-95fa-ed70ddaee577.14643.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +835 -0
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"eval_loss": 1.1176735162734985,
|
4 |
+
"eval_runtime": 25.4564,
|
5 |
+
"eval_samples": 761,
|
6 |
+
"eval_samples_per_second": 29.894,
|
7 |
+
"eval_steps_per_second": 3.771,
|
8 |
+
"eval_wer": 0.6058069112931956,
|
9 |
+
"train_loss": 2.504730513961227,
|
10 |
+
"train_runtime": 70530.0839,
|
11 |
+
"train_samples": 25915,
|
12 |
+
"train_samples_per_second": 18.372,
|
13 |
+
"train_steps_per_second": 1.148
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"eval_loss": 1.1176735162734985,
|
4 |
+
"eval_runtime": 25.4564,
|
5 |
+
"eval_samples": 761,
|
6 |
+
"eval_samples_per_second": 29.894,
|
7 |
+
"eval_steps_per_second": 3.771,
|
8 |
+
"eval_wer": 0.6058069112931956
|
9 |
+
}
|
runs/Jan26_00-02-24_job-fa775f5b-8438-4c3d-95fa-ed70ddaee577/events.out.tfevents.1643155382.job-fa775f5b-8438-4c3d-95fa-ed70ddaee577.14643.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4657a8d44f2001a787c1b91e25e9d166759c43e52fba9cd6b4b552c909f3a392
|
3 |
+
size 31127
|
runs/Jan26_00-02-24_job-fa775f5b-8438-4c3d-95fa-ed70ddaee577/events.out.tfevents.1643225941.job-fa775f5b-8438-4c3d-95fa-ed70ddaee577.14643.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4441fb64fd51b427eb4dce4a8f47499093fd1ddb004d125cb0998f1fec1172eb
|
3 |
+
size 364
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"train_loss": 2.504730513961227,
|
4 |
+
"train_runtime": 70530.0839,
|
5 |
+
"train_samples": 25915,
|
6 |
+
"train_samples_per_second": 18.372,
|
7 |
+
"train_steps_per_second": 1.148
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,835 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 50.0,
|
5 |
+
"global_step": 81000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.93,
|
12 |
+
"learning_rate": 4.983333333333334e-06,
|
13 |
+
"loss": 23.3878,
|
14 |
+
"step": 1500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.93,
|
18 |
+
"eval_loss": 21.917871475219727,
|
19 |
+
"eval_runtime": 24.5965,
|
20 |
+
"eval_samples_per_second": 30.939,
|
21 |
+
"eval_steps_per_second": 3.903,
|
22 |
+
"eval_wer": 1.0,
|
23 |
+
"step": 1500
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.85,
|
27 |
+
"learning_rate": 4.905974842767296e-06,
|
28 |
+
"loss": 8.8862,
|
29 |
+
"step": 3000
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 1.85,
|
33 |
+
"eval_loss": 6.059910297393799,
|
34 |
+
"eval_runtime": 24.7094,
|
35 |
+
"eval_samples_per_second": 30.798,
|
36 |
+
"eval_steps_per_second": 3.885,
|
37 |
+
"eval_wer": 1.0,
|
38 |
+
"step": 3000
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 2.78,
|
42 |
+
"learning_rate": 4.811635220125786e-06,
|
43 |
+
"loss": 4.3701,
|
44 |
+
"step": 4500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 2.78,
|
48 |
+
"eval_loss": 4.383728981018066,
|
49 |
+
"eval_runtime": 24.9717,
|
50 |
+
"eval_samples_per_second": 30.474,
|
51 |
+
"eval_steps_per_second": 3.844,
|
52 |
+
"eval_wer": 1.0,
|
53 |
+
"step": 4500
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 3.7,
|
57 |
+
"learning_rate": 4.717295597484277e-06,
|
58 |
+
"loss": 4.113,
|
59 |
+
"step": 6000
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 3.7,
|
63 |
+
"eval_loss": 4.269829750061035,
|
64 |
+
"eval_runtime": 25.0095,
|
65 |
+
"eval_samples_per_second": 30.428,
|
66 |
+
"eval_steps_per_second": 3.839,
|
67 |
+
"eval_wer": 0.9982187388671179,
|
68 |
+
"step": 6000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 4.63,
|
72 |
+
"learning_rate": 4.6229559748427675e-06,
|
73 |
+
"loss": 3.9666,
|
74 |
+
"step": 7500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 4.63,
|
78 |
+
"eval_loss": 3.9726266860961914,
|
79 |
+
"eval_runtime": 24.8315,
|
80 |
+
"eval_samples_per_second": 30.647,
|
81 |
+
"eval_steps_per_second": 3.866,
|
82 |
+
"eval_wer": 0.9989312433202707,
|
83 |
+
"step": 7500
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 5.56,
|
87 |
+
"learning_rate": 4.5286792452830195e-06,
|
88 |
+
"loss": 3.5965,
|
89 |
+
"step": 9000
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 5.56,
|
93 |
+
"eval_loss": 3.712357759475708,
|
94 |
+
"eval_runtime": 25.2229,
|
95 |
+
"eval_samples_per_second": 30.171,
|
96 |
+
"eval_steps_per_second": 3.806,
|
97 |
+
"eval_wer": 0.9975062344139651,
|
98 |
+
"step": 9000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 6.48,
|
102 |
+
"learning_rate": 4.43433962264151e-06,
|
103 |
+
"loss": 3.3944,
|
104 |
+
"step": 10500
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 6.48,
|
108 |
+
"eval_loss": 3.5005130767822266,
|
109 |
+
"eval_runtime": 25.0342,
|
110 |
+
"eval_samples_per_second": 30.398,
|
111 |
+
"eval_steps_per_second": 3.835,
|
112 |
+
"eval_wer": 1.0057000356252226,
|
113 |
+
"step": 10500
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 7.41,
|
117 |
+
"learning_rate": 4.340062893081761e-06,
|
118 |
+
"loss": 3.304,
|
119 |
+
"step": 12000
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 7.41,
|
123 |
+
"eval_loss": 3.3709797859191895,
|
124 |
+
"eval_runtime": 24.7151,
|
125 |
+
"eval_samples_per_second": 30.791,
|
126 |
+
"eval_steps_per_second": 3.884,
|
127 |
+
"eval_wer": 1.0042750267189169,
|
128 |
+
"step": 12000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 8.33,
|
132 |
+
"learning_rate": 4.245723270440252e-06,
|
133 |
+
"loss": 3.2482,
|
134 |
+
"step": 13500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 8.33,
|
138 |
+
"eval_loss": 3.4201204776763916,
|
139 |
+
"eval_runtime": 25.1168,
|
140 |
+
"eval_samples_per_second": 30.298,
|
141 |
+
"eval_steps_per_second": 3.822,
|
142 |
+
"eval_wer": 1.015496971856074,
|
143 |
+
"step": 13500
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 9.26,
|
147 |
+
"learning_rate": 4.151446540880503e-06,
|
148 |
+
"loss": 3.212,
|
149 |
+
"step": 15000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 9.26,
|
153 |
+
"eval_loss": 3.373223304748535,
|
154 |
+
"eval_runtime": 24.7052,
|
155 |
+
"eval_samples_per_second": 30.803,
|
156 |
+
"eval_steps_per_second": 3.886,
|
157 |
+
"eval_wer": 1.0151407196294977,
|
158 |
+
"step": 15000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 10.19,
|
162 |
+
"learning_rate": 4.057106918238994e-06,
|
163 |
+
"loss": 3.1778,
|
164 |
+
"step": 16500
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 10.19,
|
168 |
+
"eval_loss": 3.2763421535491943,
|
169 |
+
"eval_runtime": 25.3297,
|
170 |
+
"eval_samples_per_second": 30.044,
|
171 |
+
"eval_steps_per_second": 3.79,
|
172 |
+
"eval_wer": 1.0008906305664411,
|
173 |
+
"step": 16500
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 11.11,
|
177 |
+
"learning_rate": 3.962767295597484e-06,
|
178 |
+
"loss": 3.1027,
|
179 |
+
"step": 18000
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 11.11,
|
183 |
+
"eval_loss": 3.1943371295928955,
|
184 |
+
"eval_runtime": 24.6308,
|
185 |
+
"eval_samples_per_second": 30.896,
|
186 |
+
"eval_steps_per_second": 3.898,
|
187 |
+
"eval_wer": 1.0024937655860349,
|
188 |
+
"step": 18000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 12.04,
|
192 |
+
"learning_rate": 3.868490566037736e-06,
|
193 |
+
"loss": 2.9905,
|
194 |
+
"step": 19500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 12.04,
|
198 |
+
"eval_loss": 2.808248281478882,
|
199 |
+
"eval_runtime": 24.4561,
|
200 |
+
"eval_samples_per_second": 31.117,
|
201 |
+
"eval_steps_per_second": 3.925,
|
202 |
+
"eval_wer": 0.9702529390808693,
|
203 |
+
"step": 19500
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 12.96,
|
207 |
+
"learning_rate": 3.774213836477988e-06,
|
208 |
+
"loss": 2.7095,
|
209 |
+
"step": 21000
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 12.96,
|
213 |
+
"eval_loss": 2.4993014335632324,
|
214 |
+
"eval_runtime": 24.4488,
|
215 |
+
"eval_samples_per_second": 31.126,
|
216 |
+
"eval_steps_per_second": 3.927,
|
217 |
+
"eval_wer": 0.9301745635910225,
|
218 |
+
"step": 21000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 13.89,
|
222 |
+
"learning_rate": 3.6799371069182395e-06,
|
223 |
+
"loss": 2.4862,
|
224 |
+
"step": 22500
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 13.89,
|
228 |
+
"eval_loss": 2.3071722984313965,
|
229 |
+
"eval_runtime": 26.0996,
|
230 |
+
"eval_samples_per_second": 29.158,
|
231 |
+
"eval_steps_per_second": 3.678,
|
232 |
+
"eval_wer": 0.9139650872817955,
|
233 |
+
"step": 22500
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 14.81,
|
237 |
+
"learning_rate": 3.58559748427673e-06,
|
238 |
+
"loss": 2.3271,
|
239 |
+
"step": 24000
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 14.81,
|
243 |
+
"eval_loss": 2.1398162841796875,
|
244 |
+
"eval_runtime": 25.2522,
|
245 |
+
"eval_samples_per_second": 30.136,
|
246 |
+
"eval_steps_per_second": 3.802,
|
247 |
+
"eval_wer": 0.8949055931599572,
|
248 |
+
"step": 24000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 15.74,
|
252 |
+
"learning_rate": 3.4912578616352204e-06,
|
253 |
+
"loss": 2.1968,
|
254 |
+
"step": 25500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 15.74,
|
258 |
+
"eval_loss": 2.059424877166748,
|
259 |
+
"eval_runtime": 24.8853,
|
260 |
+
"eval_samples_per_second": 30.58,
|
261 |
+
"eval_steps_per_second": 3.858,
|
262 |
+
"eval_wer": 0.8817242607766299,
|
263 |
+
"step": 25500
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 16.67,
|
267 |
+
"learning_rate": 3.396981132075472e-06,
|
268 |
+
"loss": 2.111,
|
269 |
+
"step": 27000
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 16.67,
|
273 |
+
"eval_loss": 1.9404386281967163,
|
274 |
+
"eval_runtime": 24.703,
|
275 |
+
"eval_samples_per_second": 30.806,
|
276 |
+
"eval_steps_per_second": 3.886,
|
277 |
+
"eval_wer": 0.8630210188813681,
|
278 |
+
"step": 27000
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 17.59,
|
282 |
+
"learning_rate": 3.3027044025157235e-06,
|
283 |
+
"loss": 2.0387,
|
284 |
+
"step": 28500
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 17.59,
|
288 |
+
"eval_loss": 1.8895297050476074,
|
289 |
+
"eval_runtime": 24.8094,
|
290 |
+
"eval_samples_per_second": 30.674,
|
291 |
+
"eval_steps_per_second": 3.87,
|
292 |
+
"eval_wer": 0.8496615603847524,
|
293 |
+
"step": 28500
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 18.52,
|
297 |
+
"learning_rate": 3.208364779874214e-06,
|
298 |
+
"loss": 1.9504,
|
299 |
+
"step": 30000
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 18.52,
|
303 |
+
"eval_loss": 1.7960795164108276,
|
304 |
+
"eval_runtime": 25.0414,
|
305 |
+
"eval_samples_per_second": 30.39,
|
306 |
+
"eval_steps_per_second": 3.834,
|
307 |
+
"eval_wer": 0.8314926968293552,
|
308 |
+
"step": 30000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 19.44,
|
312 |
+
"learning_rate": 3.1140880503144657e-06,
|
313 |
+
"loss": 1.9039,
|
314 |
+
"step": 31500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 19.44,
|
318 |
+
"eval_loss": 1.7433359622955322,
|
319 |
+
"eval_runtime": 25.2242,
|
320 |
+
"eval_samples_per_second": 30.169,
|
321 |
+
"eval_steps_per_second": 3.806,
|
322 |
+
"eval_wer": 0.8213395083719274,
|
323 |
+
"step": 31500
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 20.37,
|
327 |
+
"learning_rate": 3.0198113207547176e-06,
|
328 |
+
"loss": 1.8342,
|
329 |
+
"step": 33000
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 20.37,
|
333 |
+
"eval_loss": 1.679031491279602,
|
334 |
+
"eval_runtime": 24.764,
|
335 |
+
"eval_samples_per_second": 30.73,
|
336 |
+
"eval_steps_per_second": 3.877,
|
337 |
+
"eval_wer": 0.7994299964374777,
|
338 |
+
"step": 33000
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 21.3,
|
342 |
+
"learning_rate": 2.9254716981132075e-06,
|
343 |
+
"loss": 1.7824,
|
344 |
+
"step": 34500
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 21.3,
|
348 |
+
"eval_loss": 1.6291165351867676,
|
349 |
+
"eval_runtime": 25.2561,
|
350 |
+
"eval_samples_per_second": 30.131,
|
351 |
+
"eval_steps_per_second": 3.801,
|
352 |
+
"eval_wer": 0.782508015675098,
|
353 |
+
"step": 34500
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 22.22,
|
357 |
+
"learning_rate": 2.831132075471698e-06,
|
358 |
+
"loss": 1.7359,
|
359 |
+
"step": 36000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 22.22,
|
363 |
+
"eval_loss": 1.578299880027771,
|
364 |
+
"eval_runtime": 24.8174,
|
365 |
+
"eval_samples_per_second": 30.664,
|
366 |
+
"eval_steps_per_second": 3.868,
|
367 |
+
"eval_wer": 0.770573566084788,
|
368 |
+
"step": 36000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 23.15,
|
372 |
+
"learning_rate": 2.73685534591195e-06,
|
373 |
+
"loss": 1.7053,
|
374 |
+
"step": 37500
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 23.15,
|
378 |
+
"eval_loss": 1.5247900485992432,
|
379 |
+
"eval_runtime": 24.9123,
|
380 |
+
"eval_samples_per_second": 30.547,
|
381 |
+
"eval_steps_per_second": 3.854,
|
382 |
+
"eval_wer": 0.749198432490203,
|
383 |
+
"step": 37500
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 24.07,
|
387 |
+
"learning_rate": 2.6425786163522016e-06,
|
388 |
+
"loss": 1.6504,
|
389 |
+
"step": 39000
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 24.07,
|
393 |
+
"eval_loss": 1.4929991960525513,
|
394 |
+
"eval_runtime": 26.1656,
|
395 |
+
"eval_samples_per_second": 29.084,
|
396 |
+
"eval_steps_per_second": 3.669,
|
397 |
+
"eval_wer": 0.7406483790523691,
|
398 |
+
"step": 39000
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 25.0,
|
402 |
+
"learning_rate": 2.5482389937106923e-06,
|
403 |
+
"loss": 1.6263,
|
404 |
+
"step": 40500
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 25.0,
|
408 |
+
"eval_loss": 1.4572067260742188,
|
409 |
+
"eval_runtime": 25.0273,
|
410 |
+
"eval_samples_per_second": 30.407,
|
411 |
+
"eval_steps_per_second": 3.836,
|
412 |
+
"eval_wer": 0.7347702173138582,
|
413 |
+
"step": 40500
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 25.93,
|
417 |
+
"learning_rate": 2.4539622641509434e-06,
|
418 |
+
"loss": 1.5893,
|
419 |
+
"step": 42000
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 25.93,
|
423 |
+
"eval_loss": 1.4201958179473877,
|
424 |
+
"eval_runtime": 25.1981,
|
425 |
+
"eval_samples_per_second": 30.201,
|
426 |
+
"eval_steps_per_second": 3.81,
|
427 |
+
"eval_wer": 0.7160669754185963,
|
428 |
+
"step": 42000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 26.85,
|
432 |
+
"learning_rate": 2.359622641509434e-06,
|
433 |
+
"loss": 1.5669,
|
434 |
+
"step": 43500
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 26.85,
|
438 |
+
"eval_loss": 1.3987159729003906,
|
439 |
+
"eval_runtime": 24.7489,
|
440 |
+
"eval_samples_per_second": 30.749,
|
441 |
+
"eval_steps_per_second": 3.879,
|
442 |
+
"eval_wer": 0.7142857142857143,
|
443 |
+
"step": 43500
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 27.78,
|
447 |
+
"learning_rate": 2.265408805031447e-06,
|
448 |
+
"loss": 1.5277,
|
449 |
+
"step": 45000
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 27.78,
|
453 |
+
"eval_loss": 1.3511500358581543,
|
454 |
+
"eval_runtime": 25.1221,
|
455 |
+
"eval_samples_per_second": 30.292,
|
456 |
+
"eval_steps_per_second": 3.821,
|
457 |
+
"eval_wer": 0.6991449946562166,
|
458 |
+
"step": 45000
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 28.7,
|
462 |
+
"learning_rate": 2.1710691823899376e-06,
|
463 |
+
"loss": 1.501,
|
464 |
+
"step": 46500
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 28.7,
|
468 |
+
"eval_loss": 1.331958532333374,
|
469 |
+
"eval_runtime": 24.626,
|
470 |
+
"eval_samples_per_second": 30.902,
|
471 |
+
"eval_steps_per_second": 3.898,
|
472 |
+
"eval_wer": 0.6879230495190595,
|
473 |
+
"step": 46500
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 29.63,
|
477 |
+
"learning_rate": 2.076729559748428e-06,
|
478 |
+
"loss": 1.4781,
|
479 |
+
"step": 48000
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 29.63,
|
483 |
+
"eval_loss": 1.3111568689346313,
|
484 |
+
"eval_runtime": 24.7067,
|
485 |
+
"eval_samples_per_second": 30.801,
|
486 |
+
"eval_steps_per_second": 3.886,
|
487 |
+
"eval_wer": 0.6788386177413609,
|
488 |
+
"step": 48000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 30.56,
|
492 |
+
"learning_rate": 1.9824528301886794e-06,
|
493 |
+
"loss": 1.4477,
|
494 |
+
"step": 49500
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 30.56,
|
498 |
+
"eval_loss": 1.2850154638290405,
|
499 |
+
"eval_runtime": 24.9276,
|
500 |
+
"eval_samples_per_second": 30.528,
|
501 |
+
"eval_steps_per_second": 3.851,
|
502 |
+
"eval_wer": 0.6656572853580335,
|
503 |
+
"step": 49500
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 31.48,
|
507 |
+
"learning_rate": 1.888176100628931e-06,
|
508 |
+
"loss": 1.4483,
|
509 |
+
"step": 51000
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 31.48,
|
513 |
+
"eval_loss": 1.2812527418136597,
|
514 |
+
"eval_runtime": 25.2119,
|
515 |
+
"eval_samples_per_second": 30.184,
|
516 |
+
"eval_steps_per_second": 3.808,
|
517 |
+
"eval_wer": 0.6633416458852868,
|
518 |
+
"step": 51000
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 32.41,
|
522 |
+
"learning_rate": 1.7938364779874214e-06,
|
523 |
+
"loss": 1.4065,
|
524 |
+
"step": 52500
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 32.41,
|
528 |
+
"eval_loss": 1.2474950551986694,
|
529 |
+
"eval_runtime": 25.9366,
|
530 |
+
"eval_samples_per_second": 29.341,
|
531 |
+
"eval_steps_per_second": 3.701,
|
532 |
+
"eval_wer": 0.6540790879942999,
|
533 |
+
"step": 52500
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 33.33,
|
537 |
+
"learning_rate": 1.699496855345912e-06,
|
538 |
+
"loss": 1.3779,
|
539 |
+
"step": 54000
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 33.33,
|
543 |
+
"eval_loss": 1.224350929260254,
|
544 |
+
"eval_runtime": 25.3174,
|
545 |
+
"eval_samples_per_second": 30.058,
|
546 |
+
"eval_steps_per_second": 3.792,
|
547 |
+
"eval_wer": 0.6503384396152476,
|
548 |
+
"step": 54000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 34.26,
|
552 |
+
"learning_rate": 1.6052830188679247e-06,
|
553 |
+
"loss": 1.3788,
|
554 |
+
"step": 55500
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 34.26,
|
558 |
+
"eval_loss": 1.2116361856460571,
|
559 |
+
"eval_runtime": 24.9096,
|
560 |
+
"eval_samples_per_second": 30.551,
|
561 |
+
"eval_steps_per_second": 3.854,
|
562 |
+
"eval_wer": 0.6407196294976844,
|
563 |
+
"step": 55500
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 35.19,
|
567 |
+
"learning_rate": 1.5109433962264154e-06,
|
568 |
+
"loss": 1.3428,
|
569 |
+
"step": 57000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 35.19,
|
573 |
+
"eval_loss": 1.1938250064849854,
|
574 |
+
"eval_runtime": 24.9601,
|
575 |
+
"eval_samples_per_second": 30.489,
|
576 |
+
"eval_steps_per_second": 3.846,
|
577 |
+
"eval_wer": 0.6351977199857499,
|
578 |
+
"step": 57000
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 36.11,
|
582 |
+
"learning_rate": 1.4166666666666667e-06,
|
583 |
+
"loss": 1.3453,
|
584 |
+
"step": 58500
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 36.11,
|
588 |
+
"eval_loss": 1.192725419998169,
|
589 |
+
"eval_runtime": 25.8368,
|
590 |
+
"eval_samples_per_second": 29.454,
|
591 |
+
"eval_steps_per_second": 3.716,
|
592 |
+
"eval_wer": 0.6339508371927325,
|
593 |
+
"step": 58500
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 37.04,
|
597 |
+
"learning_rate": 1.3223270440251574e-06,
|
598 |
+
"loss": 1.3137,
|
599 |
+
"step": 60000
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 37.04,
|
603 |
+
"eval_loss": 1.16991126537323,
|
604 |
+
"eval_runtime": 24.7736,
|
605 |
+
"eval_samples_per_second": 30.718,
|
606 |
+
"eval_steps_per_second": 3.875,
|
607 |
+
"eval_wer": 0.6252226576416102,
|
608 |
+
"step": 60000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 37.96,
|
612 |
+
"learning_rate": 1.2279874213836478e-06,
|
613 |
+
"loss": 1.2984,
|
614 |
+
"step": 61500
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 37.96,
|
618 |
+
"eval_loss": 1.1666393280029297,
|
619 |
+
"eval_runtime": 24.7631,
|
620 |
+
"eval_samples_per_second": 30.731,
|
621 |
+
"eval_steps_per_second": 3.877,
|
622 |
+
"eval_wer": 0.6229070181688635,
|
623 |
+
"step": 61500
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 38.89,
|
627 |
+
"learning_rate": 1.1337106918238996e-06,
|
628 |
+
"loss": 1.2927,
|
629 |
+
"step": 63000
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 38.89,
|
633 |
+
"eval_loss": 1.1585460901260376,
|
634 |
+
"eval_runtime": 24.9605,
|
635 |
+
"eval_samples_per_second": 30.488,
|
636 |
+
"eval_steps_per_second": 3.846,
|
637 |
+
"eval_wer": 0.6188101175632348,
|
638 |
+
"step": 63000
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 39.81,
|
642 |
+
"learning_rate": 1.039433962264151e-06,
|
643 |
+
"loss": 1.2919,
|
644 |
+
"step": 64500
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 39.81,
|
648 |
+
"eval_loss": 1.1618481874465942,
|
649 |
+
"eval_runtime": 24.6184,
|
650 |
+
"eval_samples_per_second": 30.912,
|
651 |
+
"eval_steps_per_second": 3.9,
|
652 |
+
"eval_wer": 0.6189882436765229,
|
653 |
+
"step": 64500
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 40.74,
|
657 |
+
"learning_rate": 9.450943396226415e-07,
|
658 |
+
"loss": 1.293,
|
659 |
+
"step": 66000
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 40.74,
|
663 |
+
"eval_loss": 1.147918462753296,
|
664 |
+
"eval_runtime": 24.8441,
|
665 |
+
"eval_samples_per_second": 30.631,
|
666 |
+
"eval_steps_per_second": 3.864,
|
667 |
+
"eval_wer": 0.6180976131100819,
|
668 |
+
"step": 66000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 41.67,
|
672 |
+
"learning_rate": 8.507547169811322e-07,
|
673 |
+
"loss": 1.2853,
|
674 |
+
"step": 67500
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 41.67,
|
678 |
+
"eval_loss": 1.1422728300094604,
|
679 |
+
"eval_runtime": 24.5674,
|
680 |
+
"eval_samples_per_second": 30.976,
|
681 |
+
"eval_steps_per_second": 3.908,
|
682 |
+
"eval_wer": 0.6202351264695405,
|
683 |
+
"step": 67500
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 42.59,
|
687 |
+
"learning_rate": 7.565408805031447e-07,
|
688 |
+
"loss": 1.2687,
|
689 |
+
"step": 69000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 42.59,
|
693 |
+
"eval_loss": 1.131521224975586,
|
694 |
+
"eval_runtime": 24.9081,
|
695 |
+
"eval_samples_per_second": 30.552,
|
696 |
+
"eval_steps_per_second": 3.854,
|
697 |
+
"eval_wer": 0.6131100819380121,
|
698 |
+
"step": 69000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 43.52,
|
702 |
+
"learning_rate": 6.622012578616354e-07,
|
703 |
+
"loss": 1.2603,
|
704 |
+
"step": 70500
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 43.52,
|
708 |
+
"eval_loss": 1.133251428604126,
|
709 |
+
"eval_runtime": 25.026,
|
710 |
+
"eval_samples_per_second": 30.408,
|
711 |
+
"eval_steps_per_second": 3.836,
|
712 |
+
"eval_wer": 0.6127538297114357,
|
713 |
+
"step": 70500
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 44.44,
|
717 |
+
"learning_rate": 5.678616352201258e-07,
|
718 |
+
"loss": 1.2577,
|
719 |
+
"step": 72000
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 44.44,
|
723 |
+
"eval_loss": 1.1190848350524902,
|
724 |
+
"eval_runtime": 24.839,
|
725 |
+
"eval_samples_per_second": 30.637,
|
726 |
+
"eval_steps_per_second": 3.865,
|
727 |
+
"eval_wer": 0.6079444246526541,
|
728 |
+
"step": 72000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 45.37,
|
732 |
+
"learning_rate": 4.7358490566037737e-07,
|
733 |
+
"loss": 1.2435,
|
734 |
+
"step": 73500
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 45.37,
|
738 |
+
"eval_loss": 1.1177417039871216,
|
739 |
+
"eval_runtime": 24.5078,
|
740 |
+
"eval_samples_per_second": 31.051,
|
741 |
+
"eval_steps_per_second": 3.917,
|
742 |
+
"eval_wer": 0.6079444246526541,
|
743 |
+
"step": 73500
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 46.3,
|
747 |
+
"learning_rate": 3.79245283018868e-07,
|
748 |
+
"loss": 1.251,
|
749 |
+
"step": 75000
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 46.3,
|
753 |
+
"eval_loss": 1.1210719347000122,
|
754 |
+
"eval_runtime": 24.6592,
|
755 |
+
"eval_samples_per_second": 30.861,
|
756 |
+
"eval_steps_per_second": 3.893,
|
757 |
+
"eval_wer": 0.6091913074456715,
|
758 |
+
"step": 75000
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 47.22,
|
762 |
+
"learning_rate": 2.8496855345911953e-07,
|
763 |
+
"loss": 1.2482,
|
764 |
+
"step": 76500
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 47.22,
|
768 |
+
"eval_loss": 1.1177067756652832,
|
769 |
+
"eval_runtime": 25.1033,
|
770 |
+
"eval_samples_per_second": 30.315,
|
771 |
+
"eval_steps_per_second": 3.824,
|
772 |
+
"eval_wer": 0.6059850374064838,
|
773 |
+
"step": 76500
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 48.15,
|
777 |
+
"learning_rate": 1.9062893081761006e-07,
|
778 |
+
"loss": 1.2422,
|
779 |
+
"step": 78000
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 48.15,
|
783 |
+
"eval_loss": 1.1227455139160156,
|
784 |
+
"eval_runtime": 25.3506,
|
785 |
+
"eval_samples_per_second": 30.019,
|
786 |
+
"eval_steps_per_second": 3.787,
|
787 |
+
"eval_wer": 0.6097256857855362,
|
788 |
+
"step": 78000
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 49.07,
|
792 |
+
"learning_rate": 9.641509433962265e-08,
|
793 |
+
"loss": 1.2485,
|
794 |
+
"step": 79500
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 49.07,
|
798 |
+
"eval_loss": 1.1186823844909668,
|
799 |
+
"eval_runtime": 24.6079,
|
800 |
+
"eval_samples_per_second": 30.925,
|
801 |
+
"eval_steps_per_second": 3.901,
|
802 |
+
"eval_wer": 0.6070537940862131,
|
803 |
+
"step": 79500
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 50.0,
|
807 |
+
"learning_rate": 2.138364779874214e-09,
|
808 |
+
"loss": 1.2425,
|
809 |
+
"step": 81000
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 50.0,
|
813 |
+
"eval_loss": 1.1176735162734985,
|
814 |
+
"eval_runtime": 24.8722,
|
815 |
+
"eval_samples_per_second": 30.596,
|
816 |
+
"eval_steps_per_second": 3.86,
|
817 |
+
"eval_wer": 0.6058069112931956,
|
818 |
+
"step": 81000
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 50.0,
|
822 |
+
"step": 81000,
|
823 |
+
"total_flos": 1.7056142305765743e+20,
|
824 |
+
"train_loss": 2.504730513961227,
|
825 |
+
"train_runtime": 70530.0839,
|
826 |
+
"train_samples_per_second": 18.372,
|
827 |
+
"train_steps_per_second": 1.148
|
828 |
+
}
|
829 |
+
],
|
830 |
+
"max_steps": 81000,
|
831 |
+
"num_train_epochs": 50,
|
832 |
+
"total_flos": 1.7056142305765743e+20,
|
833 |
+
"trial_name": null,
|
834 |
+
"trial_params": null
|
835 |
+
}
|