DouglasPontes commited on
Commit
4660f74
1 Parent(s): 3883741

Model save

Browse files
Files changed (2) hide show
  1. README.md +304 -303
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -1,20 +1,21 @@
1
  ---
 
2
  base_model: cardiffnlp/twitter-roberta-base-2019-90m
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
- - name: 2020-Q4-75p-filtered
7
  results: []
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
12
 
13
- # 2020-Q4-75p-filtered
14
 
15
  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-2019-90m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 3.0907
18
 
19
  ## Model description
20
 
@@ -45,306 +46,306 @@ The following hyperparameters were used during training:
45
 
46
  | Training Loss | Epoch | Step | Validation Loss |
47
  |:-------------:|:-----:|:-------:|:---------------:|
48
- | No log | 0.07 | 8000 | 3.5132 |
49
- | 3.7013 | 0.13 | 16000 | 3.4076 |
50
- | 3.7013 | 0.2 | 24000 | 3.3552 |
51
- | 3.4836 | 0.27 | 32000 | 3.3266 |
52
- | 3.4836 | 0.34 | 40000 | 3.3065 |
53
- | 3.4297 | 0.4 | 48000 | 3.2915 |
54
- | 3.4297 | 0.47 | 56000 | 3.2709 |
55
- | 3.4017 | 0.54 | 64000 | 3.2550 |
56
- | 3.4017 | 0.61 | 72000 | 3.2550 |
57
- | 3.3841 | 0.67 | 80000 | 3.2372 |
58
- | 3.3841 | 0.74 | 88000 | 3.2474 |
59
- | 3.3749 | 0.81 | 96000 | 3.2446 |
60
- | 3.3749 | 0.88 | 104000 | 3.2282 |
61
- | 3.36 | 0.94 | 112000 | 3.2236 |
62
- | 3.36 | 1.01 | 120000 | 3.2212 |
63
- | 3.3556 | 1.08 | 128000 | 3.2011 |
64
- | 3.3556 | 1.15 | 136000 | 3.2182 |
65
- | 3.3516 | 1.21 | 144000 | 3.2046 |
66
- | 3.3516 | 1.28 | 152000 | 3.2080 |
67
- | 3.3485 | 1.35 | 160000 | 3.2197 |
68
- | 3.3485 | 1.41 | 168000 | 3.1972 |
69
- | 3.3429 | 1.48 | 176000 | 3.1990 |
70
- | 3.3429 | 1.55 | 184000 | 3.1921 |
71
- | 3.3383 | 1.62 | 192000 | 3.1891 |
72
- | 3.3383 | 1.68 | 200000 | 3.1740 |
73
- | 3.3352 | 1.75 | 208000 | 3.2062 |
74
- | 3.3352 | 1.82 | 216000 | 3.1934 |
75
- | 3.3376 | 1.89 | 224000 | 3.1893 |
76
- | 3.3376 | 1.95 | 232000 | 3.1887 |
77
- | 3.3272 | 2.02 | 240000 | 3.1821 |
78
- | 3.3272 | 2.09 | 248000 | 3.1921 |
79
- | 3.3329 | 2.16 | 256000 | 3.1812 |
80
- | 3.3329 | 2.22 | 264000 | 3.1753 |
81
- | 3.3241 | 2.29 | 272000 | 3.1790 |
82
- | 3.3241 | 2.36 | 280000 | 3.1863 |
83
- | 3.3271 | 2.43 | 288000 | 3.1850 |
84
- | 3.3271 | 2.49 | 296000 | 3.1801 |
85
- | 3.3223 | 2.56 | 304000 | 3.1687 |
86
- | 3.3223 | 2.63 | 312000 | 3.1893 |
87
- | 3.3211 | 2.69 | 320000 | 3.1691 |
88
- | 3.3211 | 2.76 | 328000 | 3.1733 |
89
- | 3.3226 | 2.83 | 336000 | 3.1659 |
90
- | 3.3226 | 2.9 | 344000 | 3.1714 |
91
- | 3.322 | 2.96 | 352000 | 3.1815 |
92
- | 3.322 | 3.03 | 360000 | 3.1711 |
93
- | 3.3094 | 3.1 | 368000 | 3.1669 |
94
- | 3.3094 | 3.17 | 376000 | 3.1664 |
95
- | 3.3172 | 3.23 | 384000 | 3.1541 |
96
- | 3.3172 | 3.3 | 392000 | 3.1747 |
97
- | 3.3134 | 3.37 | 400000 | 3.1648 |
98
- | 3.3134 | 3.44 | 408000 | 3.1585 |
99
- | 3.3194 | 3.5 | 416000 | 3.1651 |
100
- | 3.3194 | 3.57 | 424000 | 3.1618 |
101
- | 3.3199 | 3.64 | 432000 | 3.1566 |
102
- | 3.3199 | 3.71 | 440000 | 3.1475 |
103
- | 3.3185 | 3.77 | 448000 | 3.1504 |
104
- | 3.3185 | 3.84 | 456000 | 3.1551 |
105
- | 3.3072 | 3.91 | 464000 | 3.1636 |
106
- | 3.3072 | 3.97 | 472000 | 3.1428 |
107
- | 3.3103 | 4.04 | 480000 | 3.1537 |
108
- | 3.3103 | 4.11 | 488000 | 3.1576 |
109
- | 3.3106 | 4.18 | 496000 | 3.1442 |
110
- | 3.3106 | 4.24 | 504000 | 3.1485 |
111
- | 3.3091 | 4.31 | 512000 | 3.1377 |
112
- | 3.3091 | 4.38 | 520000 | 3.1325 |
113
- | 3.3051 | 4.45 | 528000 | 3.1570 |
114
- | 3.3051 | 4.51 | 536000 | 3.1509 |
115
- | 3.3034 | 4.58 | 544000 | 3.1481 |
116
- | 3.3034 | 4.65 | 552000 | 3.1442 |
117
- | 3.3076 | 4.72 | 560000 | 3.1451 |
118
- | 3.3076 | 4.78 | 568000 | 3.1394 |
119
- | 3.307 | 4.85 | 576000 | 3.1405 |
120
- | 3.307 | 4.92 | 584000 | 3.1407 |
121
- | 3.2994 | 4.99 | 592000 | 3.1483 |
122
- | 3.2994 | 5.05 | 600000 | 3.1332 |
123
- | 3.3017 | 5.12 | 608000 | 3.1447 |
124
- | 3.3017 | 5.19 | 616000 | 3.1423 |
125
- | 3.2931 | 5.25 | 624000 | 3.1427 |
126
- | 3.2931 | 5.32 | 632000 | 3.1359 |
127
- | 3.3042 | 5.39 | 640000 | 3.1399 |
128
- | 3.3042 | 5.46 | 648000 | 3.1370 |
129
- | 3.3006 | 5.52 | 656000 | 3.1319 |
130
- | 3.3006 | 5.59 | 664000 | 3.1309 |
131
- | 3.2973 | 5.66 | 672000 | 3.1408 |
132
- | 3.2973 | 5.73 | 680000 | 3.1272 |
133
- | 3.3023 | 5.79 | 688000 | 3.1403 |
134
- | 3.3023 | 5.86 | 696000 | 3.1422 |
135
- | 3.2968 | 5.93 | 704000 | 3.1204 |
136
- | 3.2968 | 6.0 | 712000 | 3.1341 |
137
- | 3.2982 | 6.06 | 720000 | 3.1381 |
138
- | 3.2982 | 6.13 | 728000 | 3.1435 |
139
- | 3.296 | 6.2 | 736000 | 3.1425 |
140
- | 3.296 | 6.27 | 744000 | 3.1182 |
141
- | 3.2949 | 6.33 | 752000 | 3.1336 |
142
- | 3.2949 | 6.4 | 760000 | 3.1314 |
143
- | 3.2925 | 6.47 | 768000 | 3.1347 |
144
- | 3.2925 | 6.53 | 776000 | 3.1296 |
145
- | 3.2981 | 6.6 | 784000 | 3.1308 |
146
- | 3.2981 | 6.67 | 792000 | 3.1367 |
147
- | 3.2904 | 6.74 | 800000 | 3.1176 |
148
- | 3.2904 | 6.8 | 808000 | 3.1444 |
149
- | 3.2936 | 6.87 | 816000 | 3.1213 |
150
- | 3.2936 | 6.94 | 824000 | 3.1236 |
151
- | 3.2856 | 7.01 | 832000 | 3.1276 |
152
- | 3.2856 | 7.07 | 840000 | 3.1220 |
153
- | 3.2956 | 7.14 | 848000 | 3.1211 |
154
- | 3.2956 | 7.21 | 856000 | 3.1225 |
155
- | 3.2872 | 7.28 | 864000 | 3.1220 |
156
- | 3.2872 | 7.34 | 872000 | 3.1148 |
157
- | 3.291 | 7.41 | 880000 | 3.1317 |
158
- | 3.291 | 7.48 | 888000 | 3.1204 |
159
- | 3.2923 | 7.55 | 896000 | 3.1148 |
160
- | 3.2923 | 7.61 | 904000 | 3.1196 |
161
- | 3.294 | 7.68 | 912000 | 3.1232 |
162
- | 3.294 | 7.75 | 920000 | 3.1184 |
163
- | 3.2838 | 7.81 | 928000 | 3.1157 |
164
- | 3.2838 | 7.88 | 936000 | 3.1112 |
165
- | 3.2848 | 7.95 | 944000 | 3.1097 |
166
- | 3.2848 | 8.02 | 952000 | 3.1136 |
167
- | 3.2797 | 8.08 | 960000 | 3.1108 |
168
- | 3.2797 | 8.15 | 968000 | 3.1149 |
169
- | 3.2852 | 8.22 | 976000 | 3.1050 |
170
- | 3.2852 | 8.29 | 984000 | 3.0962 |
171
- | 3.2833 | 8.35 | 992000 | 3.1139 |
172
- | 3.2833 | 8.42 | 1000000 | 3.1099 |
173
- | 3.2819 | 8.49 | 1008000 | 3.1126 |
174
- | 3.2819 | 8.56 | 1016000 | 3.1167 |
175
- | 3.2825 | 8.62 | 1024000 | 3.1057 |
176
- | 3.2825 | 8.69 | 1032000 | 3.1059 |
177
- | 3.2744 | 8.76 | 1040000 | 3.1075 |
178
- | 3.2744 | 8.83 | 1048000 | 3.1068 |
179
- | 3.2864 | 8.89 | 1056000 | 3.1098 |
180
- | 3.2864 | 8.96 | 1064000 | 3.1151 |
181
- | 3.2783 | 9.03 | 1072000 | 3.1022 |
182
- | 3.2783 | 9.09 | 1080000 | 3.1196 |
183
- | 3.2865 | 9.16 | 1088000 | 3.1177 |
184
- | 3.2865 | 9.23 | 1096000 | 3.0985 |
185
- | 3.2799 | 9.3 | 1104000 | 3.1073 |
186
- | 3.2799 | 9.36 | 1112000 | 3.1019 |
187
- | 3.2754 | 9.43 | 1120000 | 3.1003 |
188
- | 3.2754 | 9.5 | 1128000 | 3.1015 |
189
- | 3.2654 | 9.57 | 1136000 | 3.1047 |
190
- | 3.2654 | 9.63 | 1144000 | 3.0931 |
191
- | 3.2775 | 9.7 | 1152000 | 3.1130 |
192
- | 3.2775 | 9.77 | 1160000 | 3.1094 |
193
- | 3.2811 | 9.84 | 1168000 | 3.0964 |
194
- | 3.2811 | 9.9 | 1176000 | 3.1069 |
195
- | 3.2745 | 9.97 | 1184000 | 3.0995 |
196
- | 3.2745 | 10.04 | 1192000 | 3.1167 |
197
- | 3.2811 | 10.11 | 1200000 | 3.1119 |
198
- | 3.2811 | 10.17 | 1208000 | 3.1063 |
199
- | 3.2761 | 10.24 | 1216000 | 3.1041 |
200
- | 3.2761 | 10.31 | 1224000 | 3.1044 |
201
- | 3.2786 | 10.37 | 1232000 | 3.1051 |
202
- | 3.2786 | 10.44 | 1240000 | 3.1068 |
203
- | 3.2746 | 10.51 | 1248000 | 3.1057 |
204
- | 3.2746 | 10.58 | 1256000 | 3.1009 |
205
- | 3.2777 | 10.64 | 1264000 | 3.1103 |
206
- | 3.2777 | 10.71 | 1272000 | 3.1073 |
207
- | 3.268 | 10.78 | 1280000 | 3.1044 |
208
- | 3.268 | 10.85 | 1288000 | 3.0951 |
209
- | 3.266 | 10.91 | 1296000 | 3.1160 |
210
- | 3.266 | 10.98 | 1304000 | 3.1156 |
211
- | 3.2689 | 11.05 | 1312000 | 3.1033 |
212
- | 3.2689 | 11.12 | 1320000 | 3.0985 |
213
- | 3.2732 | 11.18 | 1328000 | 3.1103 |
214
- | 3.2732 | 11.25 | 1336000 | 3.1059 |
215
- | 3.2732 | 11.32 | 1344000 | 3.0810 |
216
- | 3.2732 | 11.39 | 1352000 | 3.1074 |
217
- | 3.2735 | 11.45 | 1360000 | 3.1070 |
218
- | 3.2735 | 11.52 | 1368000 | 3.0996 |
219
- | 3.2794 | 11.59 | 1376000 | 3.0987 |
220
- | 3.2794 | 11.65 | 1384000 | 3.0890 |
221
- | 3.2695 | 11.72 | 1392000 | 3.0998 |
222
- | 3.2695 | 11.79 | 1400000 | 3.1010 |
223
- | 3.2725 | 11.86 | 1408000 | 3.0921 |
224
- | 3.2725 | 11.92 | 1416000 | 3.0921 |
225
- | 3.2757 | 11.99 | 1424000 | 3.0949 |
226
- | 3.2757 | 12.06 | 1432000 | 3.0957 |
227
- | 3.2757 | 12.13 | 1440000 | 3.0918 |
228
- | 3.2757 | 12.19 | 1448000 | 3.1131 |
229
- | 3.2582 | 12.26 | 1456000 | 3.1006 |
230
- | 3.2582 | 12.33 | 1464000 | 3.0912 |
231
- | 3.2741 | 12.4 | 1472000 | 3.0938 |
232
- | 3.2741 | 12.46 | 1480000 | 3.0977 |
233
- | 3.2725 | 12.53 | 1488000 | 3.0973 |
234
- | 3.2725 | 12.6 | 1496000 | 3.1070 |
235
- | 3.2658 | 12.67 | 1504000 | 3.0992 |
236
- | 3.2658 | 12.73 | 1512000 | 3.0927 |
237
- | 3.2706 | 12.8 | 1520000 | 3.1007 |
238
- | 3.2706 | 12.87 | 1528000 | 3.1003 |
239
- | 3.2617 | 12.93 | 1536000 | 3.0978 |
240
- | 3.2617 | 13.0 | 1544000 | 3.1059 |
241
- | 3.2698 | 13.07 | 1552000 | 3.1061 |
242
- | 3.2698 | 13.14 | 1560000 | 3.0986 |
243
- | 3.2721 | 13.2 | 1568000 | 3.1078 |
244
- | 3.2721 | 13.27 | 1576000 | 3.0985 |
245
- | 3.2703 | 13.34 | 1584000 | 3.1060 |
246
- | 3.2703 | 13.41 | 1592000 | 3.0889 |
247
- | 3.2632 | 13.47 | 1600000 | 3.0970 |
248
- | 3.2632 | 13.54 | 1608000 | 3.0893 |
249
- | 3.275 | 13.61 | 1616000 | 3.1048 |
250
- | 3.275 | 13.68 | 1624000 | 3.0975 |
251
- | 3.2692 | 13.74 | 1632000 | 3.1019 |
252
- | 3.2692 | 13.81 | 1640000 | 3.0796 |
253
- | 3.2703 | 13.88 | 1648000 | 3.0986 |
254
- | 3.2703 | 13.95 | 1656000 | 3.1036 |
255
- | 3.2703 | 14.01 | 1664000 | 3.0973 |
256
- | 3.2703 | 14.08 | 1672000 | 3.0910 |
257
- | 3.2621 | 14.15 | 1680000 | 3.0832 |
258
- | 3.2621 | 14.21 | 1688000 | 3.0910 |
259
- | 3.2719 | 14.28 | 1696000 | 3.0927 |
260
- | 3.2719 | 14.35 | 1704000 | 3.0935 |
261
- | 3.2764 | 14.42 | 1712000 | 3.0914 |
262
- | 3.2764 | 14.48 | 1720000 | 3.1064 |
263
- | 3.265 | 14.55 | 1728000 | 3.0977 |
264
- | 3.265 | 14.62 | 1736000 | 3.0933 |
265
- | 3.261 | 14.69 | 1744000 | 3.0969 |
266
- | 3.261 | 14.75 | 1752000 | 3.0911 |
267
- | 3.2757 | 14.82 | 1760000 | 3.0764 |
268
- | 3.2757 | 14.89 | 1768000 | 3.0865 |
269
- | 3.276 | 14.96 | 1776000 | 3.0892 |
270
- | 3.276 | 15.02 | 1784000 | 3.0981 |
271
- | 3.2633 | 15.09 | 1792000 | 3.0920 |
272
- | 3.2633 | 15.16 | 1800000 | 3.0744 |
273
- | 3.2668 | 15.23 | 1808000 | 3.0933 |
274
- | 3.2668 | 15.29 | 1816000 | 3.0907 |
275
- | 3.2687 | 15.36 | 1824000 | 3.0862 |
276
- | 3.2687 | 15.43 | 1832000 | 3.0910 |
277
- | 3.2748 | 15.49 | 1840000 | 3.0950 |
278
- | 3.2748 | 15.56 | 1848000 | 3.0823 |
279
- | 3.2521 | 15.63 | 1856000 | 3.0944 |
280
- | 3.2521 | 15.7 | 1864000 | 3.0819 |
281
- | 3.2621 | 15.76 | 1872000 | 3.0942 |
282
- | 3.2621 | 15.83 | 1880000 | 3.0998 |
283
- | 3.2676 | 15.9 | 1888000 | 3.1061 |
284
- | 3.2676 | 15.97 | 1896000 | 3.0957 |
285
- | 3.2717 | 16.03 | 1904000 | 3.0878 |
286
- | 3.2717 | 16.1 | 1912000 | 3.0802 |
287
- | 3.2631 | 16.17 | 1920000 | 3.0800 |
288
- | 3.2631 | 16.24 | 1928000 | 3.0903 |
289
- | 3.2634 | 16.3 | 1936000 | 3.0924 |
290
- | 3.2634 | 16.37 | 1944000 | 3.0843 |
291
- | 3.2701 | 16.44 | 1952000 | 3.0869 |
292
- | 3.2701 | 16.51 | 1960000 | 3.0776 |
293
- | 3.2665 | 16.57 | 1968000 | 3.0928 |
294
- | 3.2665 | 16.64 | 1976000 | 3.0835 |
295
- | 3.2649 | 16.71 | 1984000 | 3.1013 |
296
- | 3.2649 | 16.78 | 1992000 | 3.0895 |
297
- | 3.2655 | 16.84 | 2000000 | 3.0814 |
298
- | 3.2655 | 16.91 | 2008000 | 3.1003 |
299
- | 3.2657 | 16.98 | 2016000 | 3.0924 |
300
- | 3.2657 | 17.04 | 2024000 | 3.0946 |
301
- | 3.2625 | 17.11 | 2032000 | 3.0956 |
302
- | 3.2625 | 17.18 | 2040000 | 3.0961 |
303
- | 3.2748 | 17.25 | 2048000 | 3.0851 |
304
- | 3.2748 | 17.31 | 2056000 | 3.1006 |
305
- | 3.2767 | 17.38 | 2064000 | 3.0888 |
306
- | 3.2767 | 17.45 | 2072000 | 3.0800 |
307
- | 3.2659 | 17.52 | 2080000 | 3.0859 |
308
- | 3.2659 | 17.58 | 2088000 | 3.0929 |
309
- | 3.2652 | 17.65 | 2096000 | 3.0882 |
310
- | 3.2652 | 17.72 | 2104000 | 3.0930 |
311
- | 3.2627 | 17.79 | 2112000 | 3.0789 |
312
- | 3.2627 | 17.85 | 2120000 | 3.0959 |
313
- | 3.2645 | 17.92 | 2128000 | 3.0989 |
314
- | 3.2645 | 17.99 | 2136000 | 3.0852 |
315
- | 3.2635 | 18.06 | 2144000 | 3.0948 |
316
- | 3.2635 | 18.12 | 2152000 | 3.0890 |
317
- | 3.2684 | 18.19 | 2160000 | 3.0906 |
318
- | 3.2684 | 18.26 | 2168000 | 3.1040 |
319
- | 3.2547 | 18.32 | 2176000 | 3.0923 |
320
- | 3.2547 | 18.39 | 2184000 | 3.0820 |
321
- | 3.2636 | 18.46 | 2192000 | 3.0937 |
322
- | 3.2636 | 18.53 | 2200000 | 3.0951 |
323
- | 3.2702 | 18.59 | 2208000 | 3.0887 |
324
- | 3.2702 | 18.66 | 2216000 | 3.1017 |
325
- | 3.257 | 18.73 | 2224000 | 3.0875 |
326
- | 3.257 | 18.8 | 2232000 | 3.0903 |
327
- | 3.2608 | 18.86 | 2240000 | 3.0945 |
328
- | 3.2608 | 18.93 | 2248000 | 3.0850 |
329
- | 3.2635 | 19.0 | 2256000 | 3.0877 |
330
- | 3.2635 | 19.07 | 2264000 | 3.0873 |
331
- | 3.2673 | 19.13 | 2272000 | 3.0925 |
332
- | 3.2673 | 19.2 | 2280000 | 3.0947 |
333
- | 3.2569 | 19.27 | 2288000 | 3.0901 |
334
- | 3.2569 | 19.34 | 2296000 | 3.0889 |
335
- | 3.2641 | 19.4 | 2304000 | 3.0916 |
336
- | 3.2641 | 19.47 | 2312000 | 3.1022 |
337
- | 3.2735 | 19.54 | 2320000 | 3.0927 |
338
- | 3.2735 | 19.6 | 2328000 | 3.0938 |
339
- | 3.2629 | 19.67 | 2336000 | 3.0892 |
340
- | 3.2629 | 19.74 | 2344000 | 3.0883 |
341
- | 3.2707 | 19.81 | 2352000 | 3.0935 |
342
- | 3.2707 | 19.87 | 2360000 | 3.0909 |
343
- | 3.2595 | 19.94 | 2368000 | 3.0933 |
344
- | 3.2595 | 20.01 | 2376000 | 3.0822 |
345
- | 3.2614 | 20.08 | 2384000 | 3.0932 |
346
- | 3.2614 | 20.14 | 2392000 | 3.0980 |
347
- | 3.2545 | 20.21 | 2400000 | 3.0907 |
348
 
349
 
350
  ### Framework versions
 
1
  ---
2
+ license: mit
3
  base_model: cardiffnlp/twitter-roberta-base-2019-90m
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: 2020-Q4-75p-filtered-random
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ # 2020-Q4-75p-filtered-random
15
 
16
  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-2019-90m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 2.2620
19
 
20
  ## Model description
21
 
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:-------:|:---------------:|
49
+ | No log | 0.07 | 8000 | 2.5786 |
50
+ | 2.8197 | 0.13 | 16000 | 2.4788 |
51
+ | 2.8197 | 0.2 | 24000 | 2.4343 |
52
+ | 2.5564 | 0.27 | 32000 | 2.4143 |
53
+ | 2.5564 | 0.34 | 40000 | 2.3826 |
54
+ | 2.4967 | 0.4 | 48000 | 2.3655 |
55
+ | 2.4967 | 0.47 | 56000 | 2.3450 |
56
+ | 2.476 | 0.54 | 64000 | 2.3501 |
57
+ | 2.476 | 0.61 | 72000 | 2.3315 |
58
+ | 2.4525 | 0.67 | 80000 | 2.3286 |
59
+ | 2.4525 | 0.74 | 88000 | 2.3278 |
60
+ | 2.445 | 0.81 | 96000 | 2.3187 |
61
+ | 2.445 | 0.88 | 104000 | 2.3113 |
62
+ | 2.438 | 0.94 | 112000 | 2.3129 |
63
+ | 2.438 | 1.01 | 120000 | 2.3161 |
64
+ | 2.4233 | 1.08 | 128000 | 2.3009 |
65
+ | 2.4233 | 1.15 | 136000 | 2.3072 |
66
+ | 2.4182 | 1.21 | 144000 | 2.3069 |
67
+ | 2.4182 | 1.28 | 152000 | 2.3060 |
68
+ | 2.418 | 1.35 | 160000 | 2.2963 |
69
+ | 2.418 | 1.41 | 168000 | 2.3017 |
70
+ | 2.4106 | 1.48 | 176000 | 2.2863 |
71
+ | 2.4106 | 1.55 | 184000 | 2.2871 |
72
+ | 2.4093 | 1.62 | 192000 | 2.2870 |
73
+ | 2.4093 | 1.68 | 200000 | 2.2845 |
74
+ | 2.4124 | 1.75 | 208000 | 2.2971 |
75
+ | 2.4124 | 1.82 | 216000 | 2.2833 |
76
+ | 2.4031 | 1.89 | 224000 | 2.2866 |
77
+ | 2.4031 | 1.95 | 232000 | 2.2833 |
78
+ | 2.4056 | 2.02 | 240000 | 2.2877 |
79
+ | 2.4056 | 2.09 | 248000 | 2.2789 |
80
+ | 2.4035 | 2.16 | 256000 | 2.2872 |
81
+ | 2.4035 | 2.22 | 264000 | 2.2771 |
82
+ | 2.4068 | 2.29 | 272000 | 2.2824 |
83
+ | 2.4068 | 2.36 | 280000 | 2.2681 |
84
+ | 2.4069 | 2.43 | 288000 | 2.2866 |
85
+ | 2.4069 | 2.49 | 296000 | 2.2838 |
86
+ | 2.4059 | 2.56 | 304000 | 2.2804 |
87
+ | 2.4059 | 2.63 | 312000 | 2.2757 |
88
+ | 2.3997 | 2.69 | 320000 | 2.2775 |
89
+ | 2.3997 | 2.76 | 328000 | 2.2693 |
90
+ | 2.4025 | 2.83 | 336000 | 2.2751 |
91
+ | 2.4025 | 2.9 | 344000 | 2.2686 |
92
+ | 2.399 | 2.96 | 352000 | 2.2784 |
93
+ | 2.399 | 3.03 | 360000 | 2.2782 |
94
+ | 2.3953 | 3.1 | 368000 | 2.2694 |
95
+ | 2.3953 | 3.17 | 376000 | 2.2638 |
96
+ | 2.4002 | 3.23 | 384000 | 2.2785 |
97
+ | 2.4002 | 3.3 | 392000 | 2.2785 |
98
+ | 2.4035 | 3.37 | 400000 | 2.2774 |
99
+ | 2.4035 | 3.44 | 408000 | 2.2736 |
100
+ | 2.3985 | 3.5 | 416000 | 2.2808 |
101
+ | 2.3985 | 3.57 | 424000 | 2.2672 |
102
+ | 2.3996 | 3.64 | 432000 | 2.2765 |
103
+ | 2.3996 | 3.71 | 440000 | 2.2748 |
104
+ | 2.4052 | 3.77 | 448000 | 2.2647 |
105
+ | 2.4052 | 3.84 | 456000 | 2.2776 |
106
+ | 2.4025 | 3.91 | 464000 | 2.2734 |
107
+ | 2.4025 | 3.97 | 472000 | 2.2588 |
108
+ | 2.4082 | 4.04 | 480000 | 2.2724 |
109
+ | 2.4082 | 4.11 | 488000 | 2.2740 |
110
+ | 2.3993 | 4.18 | 496000 | 2.2726 |
111
+ | 2.3993 | 4.24 | 504000 | 2.2827 |
112
+ | 2.4029 | 4.31 | 512000 | 2.2728 |
113
+ | 2.4029 | 4.38 | 520000 | 2.2833 |
114
+ | 2.407 | 4.45 | 528000 | 2.2636 |
115
+ | 2.407 | 4.51 | 536000 | 2.2689 |
116
+ | 2.4039 | 4.58 | 544000 | 2.2741 |
117
+ | 2.4039 | 4.65 | 552000 | 2.2715 |
118
+ | 2.3983 | 4.72 | 560000 | 2.2805 |
119
+ | 2.3983 | 4.78 | 568000 | 2.2744 |
120
+ | 2.3974 | 4.85 | 576000 | 2.2678 |
121
+ | 2.3974 | 4.92 | 584000 | 2.2723 |
122
+ | 2.388 | 4.99 | 592000 | 2.2655 |
123
+ | 2.388 | 5.05 | 600000 | 2.2716 |
124
+ | 2.3921 | 5.12 | 608000 | 2.2771 |
125
+ | 2.3921 | 5.19 | 616000 | 2.2760 |
126
+ | 2.3963 | 5.25 | 624000 | 2.2806 |
127
+ | 2.3963 | 5.32 | 632000 | 2.2697 |
128
+ | 2.3891 | 5.39 | 640000 | 2.2705 |
129
+ | 2.3891 | 5.46 | 648000 | 2.2708 |
130
+ | 2.3968 | 5.52 | 656000 | 2.2689 |
131
+ | 2.3968 | 5.59 | 664000 | 2.2651 |
132
+ | 2.3951 | 5.66 | 672000 | 2.2766 |
133
+ | 2.3951 | 5.73 | 680000 | 2.2717 |
134
+ | 2.3986 | 5.79 | 688000 | 2.2629 |
135
+ | 2.3986 | 5.86 | 696000 | 2.2624 |
136
+ | 2.3985 | 5.93 | 704000 | 2.2693 |
137
+ | 2.3985 | 6.0 | 712000 | 2.2632 |
138
+ | 2.4009 | 6.06 | 720000 | 2.2715 |
139
+ | 2.4009 | 6.13 | 728000 | 2.2654 |
140
+ | 2.4015 | 6.2 | 736000 | 2.2700 |
141
+ | 2.4015 | 6.27 | 744000 | 2.2673 |
142
+ | 2.3927 | 6.33 | 752000 | 2.2701 |
143
+ | 2.3927 | 6.4 | 760000 | 2.2666 |
144
+ | 2.3941 | 6.47 | 768000 | 2.2585 |
145
+ | 2.3941 | 6.53 | 776000 | 2.2679 |
146
+ | 2.393 | 6.6 | 784000 | 2.2624 |
147
+ | 2.393 | 6.67 | 792000 | 2.2706 |
148
+ | 2.4025 | 6.74 | 800000 | 2.2785 |
149
+ | 2.4025 | 6.8 | 808000 | 2.2658 |
150
+ | 2.3992 | 6.87 | 816000 | 2.2557 |
151
+ | 2.3992 | 6.94 | 824000 | 2.2581 |
152
+ | 2.4055 | 7.01 | 832000 | 2.2725 |
153
+ | 2.4055 | 7.07 | 840000 | 2.2608 |
154
+ | 2.3965 | 7.14 | 848000 | 2.2717 |
155
+ | 2.3965 | 7.21 | 856000 | 2.2643 |
156
+ | 2.4028 | 7.28 | 864000 | 2.2697 |
157
+ | 2.4028 | 7.34 | 872000 | 2.2691 |
158
+ | 2.3943 | 7.41 | 880000 | 2.2628 |
159
+ | 2.3943 | 7.48 | 888000 | 2.2630 |
160
+ | 2.3918 | 7.55 | 896000 | 2.2691 |
161
+ | 2.3918 | 7.61 | 904000 | 2.2778 |
162
+ | 2.3897 | 7.68 | 912000 | 2.2577 |
163
+ | 2.3897 | 7.75 | 920000 | 2.2690 |
164
+ | 2.3996 | 7.81 | 928000 | 2.2631 |
165
+ | 2.3996 | 7.88 | 936000 | 2.2606 |
166
+ | 2.4016 | 7.95 | 944000 | 2.2742 |
167
+ | 2.4016 | 8.02 | 952000 | 2.2705 |
168
+ | 2.3989 | 8.08 | 960000 | 2.2694 |
169
+ | 2.3989 | 8.15 | 968000 | 2.2676 |
170
+ | 2.3989 | 8.22 | 976000 | 2.2659 |
171
+ | 2.3989 | 8.29 | 984000 | 2.2676 |
172
+ | 2.3995 | 8.35 | 992000 | 2.2752 |
173
+ | 2.3995 | 8.42 | 1000000 | 2.2760 |
174
+ | 2.3958 | 8.49 | 1008000 | 2.2779 |
175
+ | 2.3958 | 8.56 | 1016000 | 2.2626 |
176
+ | 2.3962 | 8.62 | 1024000 | 2.2646 |
177
+ | 2.3962 | 8.69 | 1032000 | 2.2645 |
178
+ | 2.3966 | 8.76 | 1040000 | 2.2603 |
179
+ | 2.3966 | 8.83 | 1048000 | 2.2549 |
180
+ | 2.3934 | 8.89 | 1056000 | 2.2669 |
181
+ | 2.3934 | 8.96 | 1064000 | 2.2576 |
182
+ | 2.3918 | 9.03 | 1072000 | 2.2707 |
183
+ | 2.3918 | 9.09 | 1080000 | 2.2618 |
184
+ | 2.401 | 9.16 | 1088000 | 2.2680 |
185
+ | 2.401 | 9.23 | 1096000 | 2.2721 |
186
+ | 2.3938 | 9.3 | 1104000 | 2.2637 |
187
+ | 2.3938 | 9.36 | 1112000 | 2.2657 |
188
+ | 2.3982 | 9.43 | 1120000 | 2.2576 |
189
+ | 2.3982 | 9.5 | 1128000 | 2.2633 |
190
+ | 2.4006 | 9.57 | 1136000 | 2.2668 |
191
+ | 2.4006 | 9.63 | 1144000 | 2.2660 |
192
+ | 2.3971 | 9.7 | 1152000 | 2.2659 |
193
+ | 2.3971 | 9.77 | 1160000 | 2.2723 |
194
+ | 2.4004 | 9.84 | 1168000 | 2.2627 |
195
+ | 2.4004 | 9.9 | 1176000 | 2.2708 |
196
+ | 2.3903 | 9.97 | 1184000 | 2.2576 |
197
+ | 2.3903 | 10.04 | 1192000 | 2.2625 |
198
+ | 2.3909 | 10.11 | 1200000 | 2.2543 |
199
+ | 2.3909 | 10.17 | 1208000 | 2.2595 |
200
+ | 2.4004 | 10.24 | 1216000 | 2.2561 |
201
+ | 2.4004 | 10.31 | 1224000 | 2.2607 |
202
+ | 2.3964 | 10.37 | 1232000 | 2.2606 |
203
+ | 2.3964 | 10.44 | 1240000 | 2.2635 |
204
+ | 2.4007 | 10.51 | 1248000 | 2.2623 |
205
+ | 2.4007 | 10.58 | 1256000 | 2.2696 |
206
+ | 2.3993 | 10.64 | 1264000 | 2.2700 |
207
+ | 2.3993 | 10.71 | 1272000 | 2.2731 |
208
+ | 2.4048 | 10.78 | 1280000 | 2.2701 |
209
+ | 2.4048 | 10.85 | 1288000 | 2.2701 |
210
+ | 2.3936 | 10.91 | 1296000 | 2.2706 |
211
+ | 2.3936 | 10.98 | 1304000 | 2.2596 |
212
+ | 2.3951 | 11.05 | 1312000 | 2.2812 |
213
+ | 2.3951 | 11.12 | 1320000 | 2.2523 |
214
+ | 2.39 | 11.18 | 1328000 | 2.2596 |
215
+ | 2.39 | 11.25 | 1336000 | 2.2723 |
216
+ | 2.393 | 11.32 | 1344000 | 2.2696 |
217
+ | 2.393 | 11.39 | 1352000 | 2.2614 |
218
+ | 2.3915 | 11.45 | 1360000 | 2.2687 |
219
+ | 2.3915 | 11.52 | 1368000 | 2.2567 |
220
+ | 2.405 | 11.59 | 1376000 | 2.2717 |
221
+ | 2.405 | 11.65 | 1384000 | 2.2733 |
222
+ | 2.3898 | 11.72 | 1392000 | 2.2680 |
223
+ | 2.3898 | 11.79 | 1400000 | 2.2627 |
224
+ | 2.3956 | 11.86 | 1408000 | 2.2689 |
225
+ | 2.3956 | 11.92 | 1416000 | 2.2669 |
226
+ | 2.4041 | 11.99 | 1424000 | 2.2610 |
227
+ | 2.4041 | 12.06 | 1432000 | 2.2689 |
228
+ | 2.3968 | 12.13 | 1440000 | 2.2749 |
229
+ | 2.3968 | 12.19 | 1448000 | 2.2640 |
230
+ | 2.4048 | 12.26 | 1456000 | 2.2602 |
231
+ | 2.4048 | 12.33 | 1464000 | 2.2698 |
232
+ | 2.4025 | 12.4 | 1472000 | 2.2545 |
233
+ | 2.4025 | 12.46 | 1480000 | 2.2685 |
234
+ | 2.3977 | 12.53 | 1488000 | 2.2623 |
235
+ | 2.3977 | 12.6 | 1496000 | 2.2679 |
236
+ | 2.3965 | 12.67 | 1504000 | 2.2505 |
237
+ | 2.3965 | 12.73 | 1512000 | 2.2708 |
238
+ | 2.3945 | 12.8 | 1520000 | 2.2655 |
239
+ | 2.3945 | 12.87 | 1528000 | 2.2672 |
240
+ | 2.3957 | 12.93 | 1536000 | 2.2698 |
241
+ | 2.3957 | 13.0 | 1544000 | 2.2661 |
242
+ | 2.3951 | 13.07 | 1552000 | 2.2635 |
243
+ | 2.3951 | 13.14 | 1560000 | 2.2597 |
244
+ | 2.4005 | 13.2 | 1568000 | 2.2575 |
245
+ | 2.4005 | 13.27 | 1576000 | 2.2648 |
246
+ | 2.394 | 13.34 | 1584000 | 2.2746 |
247
+ | 2.394 | 13.41 | 1592000 | 2.2722 |
248
+ | 2.4016 | 13.47 | 1600000 | 2.2567 |
249
+ | 2.4016 | 13.54 | 1608000 | 2.2599 |
250
+ | 2.392 | 13.61 | 1616000 | 2.2588 |
251
+ | 2.392 | 13.68 | 1624000 | 2.2644 |
252
+ | 2.3936 | 13.74 | 1632000 | 2.2668 |
253
+ | 2.3936 | 13.81 | 1640000 | 2.2447 |
254
+ | 2.3954 | 13.88 | 1648000 | 2.2502 |
255
+ | 2.3954 | 13.95 | 1656000 | 2.2737 |
256
+ | 2.3901 | 14.01 | 1664000 | 2.2701 |
257
+ | 2.3901 | 14.08 | 1672000 | 2.2632 |
258
+ | 2.3963 | 14.15 | 1680000 | 2.2661 |
259
+ | 2.3963 | 14.21 | 1688000 | 2.2628 |
260
+ | 2.4005 | 14.28 | 1696000 | 2.2606 |
261
+ | 2.4005 | 14.35 | 1704000 | 2.2578 |
262
+ | 2.3877 | 14.42 | 1712000 | 2.2674 |
263
+ | 2.3877 | 14.48 | 1720000 | 2.2631 |
264
+ | 2.3958 | 14.55 | 1728000 | 2.2675 |
265
+ | 2.3958 | 14.62 | 1736000 | 2.2752 |
266
+ | 2.3858 | 14.69 | 1744000 | 2.2623 |
267
+ | 2.3858 | 14.75 | 1752000 | 2.2577 |
268
+ | 2.403 | 14.82 | 1760000 | 2.2512 |
269
+ | 2.403 | 14.89 | 1768000 | 2.2610 |
270
+ | 2.3969 | 14.96 | 1776000 | 2.2597 |
271
+ | 2.3969 | 15.02 | 1784000 | 2.2748 |
272
+ | 2.4016 | 15.09 | 1792000 | 2.2632 |
273
+ | 2.4016 | 15.16 | 1800000 | 2.2650 |
274
+ | 2.4018 | 15.23 | 1808000 | 2.2669 |
275
+ | 2.4018 | 15.29 | 1816000 | 2.2525 |
276
+ | 2.3954 | 15.36 | 1824000 | 2.2497 |
277
+ | 2.3954 | 15.43 | 1832000 | 2.2744 |
278
+ | 2.396 | 15.49 | 1840000 | 2.2673 |
279
+ | 2.396 | 15.56 | 1848000 | 2.2637 |
280
+ | 2.3951 | 15.63 | 1856000 | 2.2615 |
281
+ | 2.3951 | 15.7 | 1864000 | 2.2644 |
282
+ | 2.4017 | 15.76 | 1872000 | 2.2656 |
283
+ | 2.4017 | 15.83 | 1880000 | 2.2682 |
284
+ | 2.3962 | 15.9 | 1888000 | 2.2592 |
285
+ | 2.3962 | 15.97 | 1896000 | 2.2643 |
286
+ | 2.3996 | 16.03 | 1904000 | 2.2648 |
287
+ | 2.3996 | 16.1 | 1912000 | 2.2706 |
288
+ | 2.3994 | 16.17 | 1920000 | 2.2700 |
289
+ | 2.3994 | 16.24 | 1928000 | 2.2627 |
290
+ | 2.3976 | 16.3 | 1936000 | 2.2592 |
291
+ | 2.3976 | 16.37 | 1944000 | 2.2606 |
292
+ | 2.3971 | 16.44 | 1952000 | 2.2588 |
293
+ | 2.3971 | 16.51 | 1960000 | 2.2607 |
294
+ | 2.3991 | 16.57 | 1968000 | 2.2692 |
295
+ | 2.3991 | 16.64 | 1976000 | 2.2548 |
296
+ | 2.3952 | 16.71 | 1984000 | 2.2572 |
297
+ | 2.3952 | 16.77 | 1992000 | 2.2626 |
298
+ | 2.4002 | 16.84 | 2000000 | 2.2680 |
299
+ | 2.4002 | 16.91 | 2008000 | 2.2690 |
300
+ | 2.3937 | 16.98 | 2016000 | 2.2523 |
301
+ | 2.3937 | 17.04 | 2024000 | 2.2700 |
302
+ | 2.3999 | 17.11 | 2032000 | 2.2652 |
303
+ | 2.3999 | 17.18 | 2040000 | 2.2671 |
304
+ | 2.3891 | 17.25 | 2048000 | 2.2700 |
305
+ | 2.3891 | 17.31 | 2056000 | 2.2589 |
306
+ | 2.397 | 17.38 | 2064000 | 2.2626 |
307
+ | 2.397 | 17.45 | 2072000 | 2.2607 |
308
+ | 2.3968 | 17.52 | 2080000 | 2.2663 |
309
+ | 2.3968 | 17.58 | 2088000 | 2.2637 |
310
+ | 2.3932 | 17.65 | 2096000 | 2.2623 |
311
+ | 2.3932 | 17.72 | 2104000 | 2.2673 |
312
+ | 2.3981 | 17.79 | 2112000 | 2.2547 |
313
+ | 2.3981 | 17.85 | 2120000 | 2.2598 |
314
+ | 2.3964 | 17.92 | 2128000 | 2.2690 |
315
+ | 2.3964 | 17.99 | 2136000 | 2.2619 |
316
+ | 2.3941 | 18.05 | 2144000 | 2.2558 |
317
+ | 2.3941 | 18.12 | 2152000 | 2.2659 |
318
+ | 2.3926 | 18.19 | 2160000 | 2.2552 |
319
+ | 2.3926 | 18.26 | 2168000 | 2.2671 |
320
+ | 2.399 | 18.32 | 2176000 | 2.2661 |
321
+ | 2.399 | 18.39 | 2184000 | 2.2591 |
322
+ | 2.3941 | 18.46 | 2192000 | 2.2568 |
323
+ | 2.3941 | 18.53 | 2200000 | 2.2588 |
324
+ | 2.3975 | 18.59 | 2208000 | 2.2631 |
325
+ | 2.3975 | 18.66 | 2216000 | 2.2655 |
326
+ | 2.3884 | 18.73 | 2224000 | 2.2628 |
327
+ | 2.3884 | 18.8 | 2232000 | 2.2656 |
328
+ | 2.399 | 18.86 | 2240000 | 2.2644 |
329
+ | 2.399 | 18.93 | 2248000 | 2.2608 |
330
+ | 2.4064 | 19.0 | 2256000 | 2.2561 |
331
+ | 2.4064 | 19.07 | 2264000 | 2.2680 |
332
+ | 2.3999 | 19.13 | 2272000 | 2.2703 |
333
+ | 2.3999 | 19.2 | 2280000 | 2.2624 |
334
+ | 2.398 | 19.27 | 2288000 | 2.2707 |
335
+ | 2.398 | 19.33 | 2296000 | 2.2646 |
336
+ | 2.4007 | 19.4 | 2304000 | 2.2659 |
337
+ | 2.4007 | 19.47 | 2312000 | 2.2710 |
338
+ | 2.3955 | 19.54 | 2320000 | 2.2720 |
339
+ | 2.3955 | 19.6 | 2328000 | 2.2569 |
340
+ | 2.3973 | 19.67 | 2336000 | 2.2641 |
341
+ | 2.3973 | 19.74 | 2344000 | 2.2633 |
342
+ | 2.4059 | 19.81 | 2352000 | 2.2622 |
343
+ | 2.4059 | 19.87 | 2360000 | 2.2539 |
344
+ | 2.3899 | 19.94 | 2368000 | 2.2665 |
345
+ | 2.3899 | 20.01 | 2376000 | 2.2629 |
346
+ | 2.4025 | 20.08 | 2384000 | 2.2551 |
347
+ | 2.4025 | 20.14 | 2392000 | 2.2546 |
348
+ | 2.3956 | 20.21 | 2400000 | 2.2620 |
349
 
350
 
351
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:218c517ca34af00456dfc7b0cc5fbee15c025009db6212376fff1d804e2c4fb5
3
  size 498859189
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7781263a9b449a42d2c49aedda57f90c6ca4798905076f4d1b3c1ddf57dcbe32
3
  size 498859189