Commit
•
1e7648e
1
Parent(s):
d6cb9ea
Upload 3 files
Browse files- config_saved.json +1 -0
- supervised.pol.mdl +0 -0
- train_INFO.log +205 -0
config_saved.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"args": {"seed": 0, "eval_freq": 2, "dataset_name": "multiwoz21"}, "config": {"batchsz": 32, "epoch": 24, "lr_supervised": 0.0001, "save_dir": "save", "log_dir": "log", "print_per_batch": 400, "save_per_epoch": 1, "h_dim": 100, "load": "save/best", "pos_weight": 5, "hidden_size": 256, "weight_decay": 1e-05, "lambda": 1, "tau": 0.005, "policy_freq": 2, "entropy_weight": 0.001}, "policy_config": null}
|
supervised.pol.mdl
ADDED
Binary file (271 kB). View file
|
|
train_INFO.log
ADDED
@@ -0,0 +1,205 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Visible device: cuda
|
2 |
+
Seed used: 0
|
3 |
+
Vectorizer: Data set used is multiwoz21
|
4 |
+
Start training
|
5 |
+
Epoch: 0
|
6 |
+
Precision: 0
|
7 |
+
Recall: 0
|
8 |
+
F1: 0
|
9 |
+
Best Precision: 0.0
|
10 |
+
Best Recall: 0.0
|
11 |
+
Best F1: 0.0
|
12 |
+
Epoch: 1
|
13 |
+
Precision: 0
|
14 |
+
Recall: 0
|
15 |
+
F1: 0
|
16 |
+
Best Precision: 0.0
|
17 |
+
Best Recall: 0.0
|
18 |
+
Best F1: 0.0
|
19 |
+
Epoch: 2
|
20 |
+
Average actions: 3.803938627243042
|
21 |
+
Average target actions: 2.6072394847869873
|
22 |
+
Precision: 0.36443668246783334
|
23 |
+
Recall: 0.5317489209007229
|
24 |
+
F1: 0.43247472824937616
|
25 |
+
<<dialog policy>> epoch 2: saved network to mdl
|
26 |
+
Best Precision: 0.36443668246783334
|
27 |
+
Best Recall: 0.5317489209007229
|
28 |
+
Best F1: 0.43247472824937616
|
29 |
+
Epoch: 3
|
30 |
+
Precision: 0.36443668246783334
|
31 |
+
Recall: 0.5317489209007229
|
32 |
+
F1: 0.43247472824937616
|
33 |
+
Best Precision: 0.36443668246783334
|
34 |
+
Best Recall: 0.5317489209007229
|
35 |
+
Best F1: 0.43247472824937616
|
36 |
+
Epoch: 4
|
37 |
+
Average actions: 4.113307952880859
|
38 |
+
Average target actions: 2.6075873374938965
|
39 |
+
Precision: 0.3832530835696854
|
40 |
+
Recall: 0.6043475999791981
|
41 |
+
F1: 0.46905208774797685
|
42 |
+
<<dialog policy>> epoch 4: saved network to mdl
|
43 |
+
Best Precision: 0.3832530835696854
|
44 |
+
Best Recall: 0.6043475999791981
|
45 |
+
Best F1: 0.46905208774797685
|
46 |
+
Epoch: 5
|
47 |
+
Precision: 0.3832530835696854
|
48 |
+
Recall: 0.6043475999791981
|
49 |
+
F1: 0.46905208774797685
|
50 |
+
Best Precision: 0.3832530835696854
|
51 |
+
Best Recall: 0.6043475999791981
|
52 |
+
Best F1: 0.46905208774797685
|
53 |
+
Epoch: 6
|
54 |
+
Average actions: 4.202342510223389
|
55 |
+
Average target actions: 2.6075873374938965
|
56 |
+
Precision: 0.3931234866828087
|
57 |
+
Recall: 0.6332622601279317
|
58 |
+
F1: 0.4851007887817704
|
59 |
+
<<dialog policy>> epoch 6: saved network to mdl
|
60 |
+
Best Precision: 0.3931234866828087
|
61 |
+
Best Recall: 0.6332622601279317
|
62 |
+
Best F1: 0.4851007887817704
|
63 |
+
Epoch: 7
|
64 |
+
Precision: 0.3931234866828087
|
65 |
+
Recall: 0.6332622601279317
|
66 |
+
F1: 0.4851007887817704
|
67 |
+
Best Precision: 0.3931234866828087
|
68 |
+
Best Recall: 0.6332622601279317
|
69 |
+
Best F1: 0.4851007887817704
|
70 |
+
Epoch: 8
|
71 |
+
Average actions: 4.356949806213379
|
72 |
+
Average target actions: 2.6075873374938965
|
73 |
+
Precision: 0.3951788491446345
|
74 |
+
Recall: 0.6607207863123408
|
75 |
+
F1: 0.4945600342552405
|
76 |
+
<<dialog policy>> epoch 8: saved network to mdl
|
77 |
+
Best Precision: 0.3951788491446345
|
78 |
+
Best Recall: 0.6607207863123408
|
79 |
+
Best F1: 0.4945600342552405
|
80 |
+
Epoch: 9
|
81 |
+
Precision: 0.3951788491446345
|
82 |
+
Recall: 0.6607207863123408
|
83 |
+
F1: 0.4945600342552405
|
84 |
+
Best Precision: 0.3951788491446345
|
85 |
+
Best Recall: 0.6607207863123408
|
86 |
+
Best F1: 0.4945600342552405
|
87 |
+
Epoch: 10
|
88 |
+
Average actions: 4.292381763458252
|
89 |
+
Average target actions: 2.6075873374938965
|
90 |
+
Precision: 0.4069264069264069
|
91 |
+
Recall: 0.6697176140204899
|
92 |
+
F1: 0.5062504913908326
|
93 |
+
<<dialog policy>> epoch 10: saved network to mdl
|
94 |
+
Best Precision: 0.4069264069264069
|
95 |
+
Best Recall: 0.6697176140204899
|
96 |
+
Best F1: 0.5062504913908326
|
97 |
+
Epoch: 11
|
98 |
+
Precision: 0.4069264069264069
|
99 |
+
Recall: 0.6697176140204899
|
100 |
+
F1: 0.5062504913908326
|
101 |
+
Best Precision: 0.4069264069264069
|
102 |
+
Best Recall: 0.6697176140204899
|
103 |
+
Best F1: 0.5062504913908326
|
104 |
+
Epoch: 12
|
105 |
+
Average actions: 4.411757946014404
|
106 |
+
Average target actions: 2.608457088470459
|
107 |
+
Precision: 0.4065842862412394
|
108 |
+
Recall: 0.6878672837901086
|
109 |
+
F1: 0.5110797704835687
|
110 |
+
<<dialog policy>> epoch 12: saved network to mdl
|
111 |
+
Best Precision: 0.4069264069264069
|
112 |
+
Best Recall: 0.6878672837901086
|
113 |
+
Best F1: 0.5110797704835687
|
114 |
+
Epoch: 13
|
115 |
+
Precision: 0.4065842862412394
|
116 |
+
Recall: 0.6878672837901086
|
117 |
+
F1: 0.5110797704835687
|
118 |
+
Best Precision: 0.4069264069264069
|
119 |
+
Best Recall: 0.6878672837901086
|
120 |
+
Best F1: 0.5110797704835687
|
121 |
+
Epoch: 14
|
122 |
+
Average actions: 4.343286514282227
|
123 |
+
Average target actions: 2.608804702758789
|
124 |
+
Precision: 0.4146211979264256
|
125 |
+
Recall: 0.6904675230121171
|
126 |
+
F1: 0.5181167196737625
|
127 |
+
<<dialog policy>> epoch 14: saved network to mdl
|
128 |
+
Best Precision: 0.4146211979264256
|
129 |
+
Best Recall: 0.6904675230121171
|
130 |
+
Best F1: 0.5181167196737625
|
131 |
+
Epoch: 15
|
132 |
+
Precision: 0.4146211979264256
|
133 |
+
Recall: 0.6904675230121171
|
134 |
+
F1: 0.5181167196737625
|
135 |
+
Best Precision: 0.4146211979264256
|
136 |
+
Best Recall: 0.6904675230121171
|
137 |
+
Best F1: 0.5181167196737625
|
138 |
+
Epoch: 16
|
139 |
+
Average actions: 4.276244640350342
|
140 |
+
Average target actions: 2.608457088470459
|
141 |
+
Precision: 0.4216435662406039
|
142 |
+
Recall: 0.6913516043476
|
143 |
+
F1: 0.5238189053942235
|
144 |
+
<<dialog policy>> epoch 16: saved network to mdl
|
145 |
+
Best Precision: 0.4216435662406039
|
146 |
+
Best Recall: 0.6913516043476
|
147 |
+
Best F1: 0.5238189053942235
|
148 |
+
Epoch: 17
|
149 |
+
Precision: 0.4216435662406039
|
150 |
+
Recall: 0.6913516043476
|
151 |
+
F1: 0.5238189053942235
|
152 |
+
Best Precision: 0.4216435662406039
|
153 |
+
Best Recall: 0.6913516043476
|
154 |
+
Best F1: 0.5238189053942235
|
155 |
+
Epoch: 18
|
156 |
+
Average actions: 4.305194854736328
|
157 |
+
Average target actions: 2.6089789867401123
|
158 |
+
Precision: 0.4217372134038801
|
159 |
+
Recall: 0.6963960684382964
|
160 |
+
F1: 0.5253329671838528
|
161 |
+
<<dialog policy>> epoch 18: saved network to mdl
|
162 |
+
Best Precision: 0.4217372134038801
|
163 |
+
Best Recall: 0.6963960684382964
|
164 |
+
Best F1: 0.5253329671838528
|
165 |
+
Epoch: 19
|
166 |
+
Precision: 0.4217372134038801
|
167 |
+
Recall: 0.6963960684382964
|
168 |
+
F1: 0.5253329671838528
|
169 |
+
Best Precision: 0.4217372134038801
|
170 |
+
Best Recall: 0.6963960684382964
|
171 |
+
Best F1: 0.5253329671838528
|
172 |
+
Epoch: 20
|
173 |
+
Average actions: 4.321138858795166
|
174 |
+
Average target actions: 2.6060221195220947
|
175 |
+
Precision: 0.42330383480825956
|
176 |
+
Recall: 0.7014925373134329
|
177 |
+
F1: 0.5279968685781387
|
178 |
+
<<dialog policy>> epoch 20: saved network to mdl
|
179 |
+
Best Precision: 0.42330383480825956
|
180 |
+
Best Recall: 0.7014925373134329
|
181 |
+
Best F1: 0.5279968685781387
|
182 |
+
Epoch: 21
|
183 |
+
Precision: 0.42330383480825956
|
184 |
+
Recall: 0.7014925373134329
|
185 |
+
F1: 0.5279968685781387
|
186 |
+
Best Precision: 0.42330383480825956
|
187 |
+
Best Recall: 0.7014925373134329
|
188 |
+
Best F1: 0.5279968685781387
|
189 |
+
Epoch: 22
|
190 |
+
Average actions: 4.332869529724121
|
191 |
+
Average target actions: 2.6077613830566406
|
192 |
+
Precision: 0.42460478948192204
|
193 |
+
Recall: 0.7053928961464455
|
194 |
+
F1: 0.5301129479813969
|
195 |
+
<<dialog policy>> epoch 22: saved network to mdl
|
196 |
+
Best Precision: 0.42460478948192204
|
197 |
+
Best Recall: 0.7053928961464455
|
198 |
+
Best F1: 0.5301129479813969
|
199 |
+
Epoch: 23
|
200 |
+
Precision: 0.42460478948192204
|
201 |
+
Recall: 0.7053928961464455
|
202 |
+
F1: 0.5301129479813969
|
203 |
+
Best Precision: 0.42460478948192204
|
204 |
+
Best Recall: 0.7053928961464455
|
205 |
+
Best F1: 0.5301129479813969
|