-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtrain-proto-0102.out
More file actions
237 lines (234 loc) · 15.2 KB
/
train-proto-0102.out
File metadata and controls
237 lines (234 loc) · 15.2 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
Using TensorFlow backend.
### Korean FrameNet ###
# contact: hahmyg@kaist, hahmyg@gmail.com #
used dictionary:
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lu2idx.json
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lufrmap.json
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_bio_frargmap.json
... loading FN data
# of instances in trn: 211812
# of instances in dev: 2272
# of instances in tst: 6714
data example: [['Greece', 'wildfires', 'force', 'thousands', 'to', '<tgt>', 'evacuate', '</tgt>'], ['_', '_', '_', '_', '_', '_', 'evacuate.v', '_'], ['_', '_', '_', '_', '_', '_', 'Escaping', '_'], ['O', 'O', 'O', 'B-Escapee', 'O', 'X', 'O', 'X']]
... converting FN data to BERT
0hour:7min:4sec
trn_target_frames: 945
dev_target_frames: 132
tst_target_frames: 285
used dictionary:
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lu2idx.json
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lufrmap.json
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_bio_frargmap.json
used dictionary:
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lu2idx.json
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lufrmap.json
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_bio_frargmap.json
used dictionary:
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lu2idx.json
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lufrmap.json
/disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_bio_frargmap.json
...training
Avg Train Loss: 5.365763840675354, Avg Train Acc: 0.0536666701361537
Avg Val Loss: 2.8620307773351668, Avg Val Acc: 0.30600000604987143 (Best)
Avg Train Loss: 3.7739917778968812, Avg Train Acc: 0.12083333987742663
Avg Val Loss: 2.3985421714186668, Avg Val Acc: 0.3800000074505806 (Best)
Avg Train Loss: 2.9982328176498414, Avg Train Acc: 0.23716668032109736
Avg Val Loss: 2.012644044756889, Avg Val Acc: 0.4320000088214874 (Best)
Avg Train Loss: 2.406242938041687, Avg Train Acc: 0.3775000213086605
Avg Val Loss: 1.698902648165822, Avg Val Acc: 0.5080000102519989 (Best)
Avg Train Loss: 1.9200240182876587, Avg Train Acc: 0.5085000258684158
Avg Val Loss: 1.4286703075096012, Avg Val Acc: 0.5420000095665455 (Best)
Avg Train Loss: 1.5149298155307769, Avg Train Acc: 0.6251667007803917
Avg Val Loss: 1.2031812955625356, Avg Val Acc: 0.5920000113546848 (Best)
Avg Train Loss: 1.1787861669063568, Avg Train Acc: 0.7256667047739029
Avg Val Loss: 1.0102133036404848, Avg Val Acc: 0.6560000123083591 (Best)
Avg Train Loss: 0.9034723496437073, Avg Train Acc: 0.8011667102575302
Avg Val Loss: 0.8499862199369818, Avg Val Acc: 0.7040000113844872 (Best)
Avg Train Loss: 0.682324284017086, Avg Train Acc: 0.866166712641716
Avg Val Loss: 0.7147790690464899, Avg Val Acc: 0.7320000107586384 (Best)
Avg Train Loss: 0.5085179655253887, Avg Train Acc: 0.9116667115688324
Avg Val Loss: 0.6025368419592269, Avg Val Acc: 0.7740000100433826 (Best)
Avg Train Loss: 0.3745454667508602, Avg Train Acc: 0.9465000367164612
Avg Val Loss: 0.5094567194371484, Avg Val Acc: 0.7980000096559524 (Best)
Avg Train Loss: 0.2734214632958174, Avg Train Acc: 0.9666667079925537
Avg Val Loss: 0.43196950960205865, Avg Val Acc: 0.8240000087022782 (Best)
Avg Train Loss: 0.19826771408319474, Avg Train Acc: 0.979166699051857
Avg Val Loss: 0.3690496323973639, Avg Val Acc: 0.8440000084042549 (Best)
Avg Train Loss: 0.14264268279075623, Avg Train Acc: 0.9881666934490204
Avg Val Loss: 0.3170892131578876, Avg Val Acc: 0.8660000073909759 (Best)
Avg Train Loss: 0.10242302186787128, Avg Train Acc: 0.9923333543539047
Avg Val Loss: 0.2790115929140302, Avg Val Acc: 0.8860000064969062 (Best)
Avg Train Loss: 0.07524367393925786, Avg Train Acc: 0.9941666835546493
Avg Val Loss: 0.24585115257541473, Avg Val Acc: 0.8960000061988831 (Best)
Avg Train Loss: 0.05782250627875328, Avg Train Acc: 0.9951666849851608
Avg Val Loss: 0.22587238619904382, Avg Val Acc: 0.910000005364418 (Best)
Avg Train Loss: 0.043214848106727, Avg Train Acc: 0.9960000121593475
Avg Val Loss: 0.21082819406015915, Avg Val Acc: 0.9180000048875808 (Best)
Avg Train Loss: 0.036597365727648136, Avg Train Acc: 0.9958333474397659
Avg Val Loss: 0.217989699048876, Avg Val Acc: 0.9220000046491623 (Best)
Avg Train Loss: 0.031972292214632034, Avg Train Acc: 0.9958333444595336
Avg Val Loss: 0.1927989191596862, Avg Val Acc: 0.9340000039339066 (Best)
Avg Train Loss: 0.020780557477846743, Avg Train Acc: 0.9985000067949295
Avg Val Loss: 0.19924478449850994, Avg Val Acc: 0.9340000039339066 (Best)
Avg Train Loss: 0.01763792648445815, Avg Train Acc: 0.998000009059906
Avg Val Loss: 0.1794377367074958, Avg Val Acc: 0.9360000038146973 (Best)
Avg Train Loss: 0.015580413336865604, Avg Train Acc: 0.9976666754484177
Avg Val Loss: 0.18244822573527017, Avg Val Acc: 0.9340000039339066 (Best: 0.9360000038146973)
Avg Train Loss: 0.009809702083002777, Avg Train Acc: 0.9995000022649765
Avg Val Loss: 0.16002668082400306, Avg Val Acc: 0.9440000033378602 (Best)
Avg Train Loss: 0.008607607639860362, Avg Train Acc: 0.998666672706604
Avg Val Loss: 0.15191778291953142, Avg Val Acc: 0.9440000033378602 (Best)
Avg Train Loss: 0.007605808650841936, Avg Train Acc: 0.998666672706604
Avg Val Loss: 0.14106762959677555, Avg Val Acc: 0.9480000030994415 (Best)
Avg Train Loss: 0.0050153820624109354, Avg Train Acc: 0.999666668176651
Avg Val Loss: 0.15313310837443453, Avg Val Acc: 0.9460000032186509 (Best: 0.9480000030994415)
Avg Train Loss: 0.004111510481452569, Avg Train Acc: 1.0
Avg Val Loss: 0.13627232009563273, Avg Val Acc: 0.9500000029802322 (Best)
Avg Train Loss: 0.003913267028983682, Avg Train Acc: 1.0
Avg Val Loss: 0.1346006764973555, Avg Val Acc: 0.9480000030994415 (Best: 0.9500000029802322)
Avg Train Loss: 0.003621727485442534, Avg Train Acc: 0.999666668176651
Avg Val Loss: 0.12513291123888223, Avg Val Acc: 0.9480000030994415 (Best: 0.9500000029802322)
Avg Train Loss: 0.003354276832542382, Avg Train Acc: 0.9998333340883255
Avg Val Loss: 0.11989048564954373, Avg Val Acc: 0.9520000028610229 (Best)
Avg Train Loss: 0.0028701580344932154, Avg Train Acc: 0.999666668176651
Avg Val Loss: 0.12959103301862512, Avg Val Acc: 0.9500000029802322 (Best: 0.9520000028610229)
Avg Train Loss: 0.0022007854440016673, Avg Train Acc: 1.0
Avg Val Loss: 0.12626942632316343, Avg Val Acc: 0.9540000027418136 (Best)
Avg Train Loss: 0.0015067575010471047, Avg Train Acc: 1.0
Avg Val Loss: 0.12884060142969872, Avg Val Acc: 0.9460000032186509 (Best: 0.9540000027418136)
Avg Train Loss: 0.0012483521155081689, Avg Train Acc: 1.0
Avg Val Loss: 0.12328216010929055, Avg Val Acc: 0.9460000032186509 (Best: 0.9540000027418136)
Avg Train Loss: 0.0010903537028934807, Avg Train Acc: 1.0
Avg Val Loss: 0.12200136101082876, Avg Val Acc: 0.9480000030994415 (Best: 0.9540000027418136)
Avg Train Loss: 0.0009928497162763961, Avg Train Acc: 1.0
Avg Val Loss: 0.12126366284144638, Avg Val Acc: 0.9480000030994415 (Best: 0.9540000027418136)
Avg Train Loss: 0.0009092255105497316, Avg Train Acc: 1.0
Avg Val Loss: 0.12019162238966202, Avg Val Acc: 0.9480000030994415 (Best: 0.9540000027418136)
Avg Train Loss: 0.0008355528925312683, Avg Train Acc: 1.0
Avg Val Loss: 0.1192963654547799, Avg Val Acc: 0.9480000030994415 (Best: 0.9540000027418136)
Avg Train Loss: 0.000770042143703904, Avg Train Acc: 1.0
Avg Val Loss: 0.11839705901623063, Avg Val Acc: 0.9500000029802322 (Best: 0.9540000027418136)
Avg Train Loss: 0.0007111546557280235, Avg Train Acc: 1.0
Avg Val Loss: 0.11758728533494263, Avg Val Acc: 0.9500000029802322 (Best: 0.9540000027418136)
Avg Train Loss: 0.0006580327689880506, Avg Train Acc: 1.0
Avg Val Loss: 0.11676250271150934, Avg Val Acc: 0.9520000028610229 (Best: 0.9540000027418136)
Avg Train Loss: 0.000609903053555172, Avg Train Acc: 1.0
Avg Val Loss: 0.11601724490500487, Avg Val Acc: 0.9520000028610229 (Best: 0.9540000027418136)
Avg Train Loss: 0.0005660896611516363, Avg Train Acc: 1.0
Avg Val Loss: 0.11526329246575984, Avg Val Acc: 0.9560000026226043 (Best)
Avg Train Loss: 0.0005261059073382057, Avg Train Acc: 1.0
Avg Val Loss: 0.1145361114067265, Avg Val Acc: 0.9560000026226043 (Best)
Avg Train Loss: 0.0004895493444928434, Avg Train Acc: 1.0
Avg Val Loss: 0.11386646396765115, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.0004559774647350423, Avg Train Acc: 1.0
Avg Val Loss: 0.11320564670201691, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.0004251200596627314, Avg Train Acc: 1.0
Avg Val Loss: 0.11257882858919459, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.00039670787402428686, Avg Train Acc: 1.0
Avg Val Loss: 0.1119817175782498, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.0003705072593584191, Avg Train Acc: 1.0
Avg Val Loss: 0.11137407445040821, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.0003462734405184165, Avg Train Acc: 1.0
Avg Val Loss: 0.11081895256188147, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.00032386336417403075, Avg Train Acc: 1.0
Avg Val Loss: 0.11027966129044899, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.00030312317161587996, Avg Train Acc: 1.0
Avg Val Loss: 0.1097727990152157, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.00028381953059579244, Avg Train Acc: 1.0
Avg Val Loss: 0.10926533828722995, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.0002658910887839738, Avg Train Acc: 1.0
Avg Val Loss: 0.10879101028782542, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.00024923039803979917, Avg Train Acc: 1.0
Avg Val Loss: 0.1082984949939123, Avg Val Acc: 0.9580000025033951 (Best)
Avg Train Loss: 0.00023372969269985333, Avg Train Acc: 1.0
Avg Val Loss: 0.10786133899120387, Avg Val Acc: 0.9600000023841858 (Best)
Avg Train Loss: 0.00021925291570369155, Avg Train Acc: 1.0
Avg Val Loss: 0.1074101351968443, Avg Val Acc: 0.9600000023841858 (Best)
Avg Train Loss: 0.00020579116629960482, Avg Train Acc: 1.0
Avg Val Loss: 0.10698219597074513, Avg Val Acc: 0.9620000022649765 (Best)
Avg Train Loss: 0.0001932414480688749, Avg Train Acc: 1.0
Avg Val Loss: 0.10658783261522956, Avg Val Acc: 0.9620000022649765 (Best)
Avg Train Loss: 0.00018144544927054085, Avg Train Acc: 1.0
Avg Val Loss: 0.10618821956284479, Avg Val Acc: 0.9620000022649765 (Best)
Avg Train Loss: 0.00017047596862539648, Avg Train Acc: 1.0
Avg Val Loss: 0.10577743008480525, Avg Val Acc: 0.9620000022649765 (Best)
Avg Train Loss: 0.0001601842328091152, Avg Train Acc: 1.0
Avg Val Loss: 0.10543513658582014, Avg Val Acc: 0.9640000021457672 (Best)
Avg Train Loss: 0.00015055053285323083, Avg Train Acc: 1.0
Avg Val Loss: 0.10505332411880772, Avg Val Acc: 0.9660000020265579 (Best)
Avg Train Loss: 0.00014155356817354913, Avg Train Acc: 1.0
Avg Val Loss: 0.10470626241512719, Avg Val Acc: 0.9660000020265579 (Best)
Avg Train Loss: 0.00013317077078681906, Avg Train Acc: 1.0
Avg Val Loss: 0.10435288407922372, Avg Val Acc: 0.9660000020265579 (Best)
Avg Train Loss: 0.00012524478279374307, Avg Train Acc: 1.0
Avg Val Loss: 0.10402599655409063, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 0.0001178105735743884, Avg Train Acc: 1.0
Avg Val Loss: 0.10373597774923723, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 0.00011088022150943289, Avg Train Acc: 1.0
Avg Val Loss: 0.10346360103348047, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 0.00010438093089760513, Avg Train Acc: 1.0
Avg Val Loss: 0.10315524518467441, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 9.82589773775544e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10285972237824695, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 9.250514165614731e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.1026120473115759, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 8.71028944311547e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10231575941772916, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 8.204619556636317e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10209261657370405, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 7.726955838734284e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.1018436076667939, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 7.282130300154677e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10158082780295274, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 6.856823354610242e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10130283537738194, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 6.459935839302489e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10110147291639521, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 6.0857140251755485e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10086734308869154, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 5.734571128414245e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10068778412277198, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 5.406125685112784e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10047445763969108, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 5.093543006296386e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10035230522543202, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 4.8007331643020734e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.10014087107551234, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 4.5241994175739816e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09995047174383728, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 4.2658172169467435e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09974402805800821, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 4.0212315416283675e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09963164516430197, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 3.7912052848696474e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09945578956106829, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 3.57675570921856e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09931409635885757, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 3.371652141140658e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09917515667365479, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 3.175417731654306e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09908282833749751, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 2.9945693058834876e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.0988806322854856, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 2.8217635090186378e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09885853713893028, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 2.6587169822960278e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09875196188530311, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 2.507209912437247e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09863692728650392, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 2.365334951718978e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09842889519509697, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 2.2312483333735146e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09841978582386389, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 2.1013896712247516e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09832927983444392, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 1.9839605738525278e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09825243477901381, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 1.8695514345381525e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.0982541908618839, Avg Val Acc: 0.9680000019073486 (Best)
Avg Train Loss: 1.7591159466974203e-05, Avg Train Acc: 1.0
Avg Val Loss: 0.09815830469112825, Avg Val Acc: 0.9680000019073486 (Best)
24hour:35min:55sec
...testing
Test Acc: 0.9040000051259994
24hour:47min:15sec