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models_results_t5_base_pretrain.csv
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dataset name accuracy loss spearmanr stage dir
0 cola 0.8216682646212847 0.119381774555553 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
1 mrpc 0.8700980392156863 0.0978657924211942 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
2 qqp 0.9037101162503092 0.0205971319464188 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
3 stsb 0.3431408658940741 0.8816684862182418 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
4 boolq 0.7984709480122324 0.1347513754390975 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
5 cb 0.8571428571428571 0.0324711725115776 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
6 copa 0.48 0.0596098154783248 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
7 multirc 0.5806518151815182 0.0600543649573075 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
8 wic 0.6833855799373041 0.1979784250259399 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
9 wsc 0.6153846153846154 0.056242786347866 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
10 ag_news 0.8983333333333333 0.0287697670307565 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
11 isear 0.7183833116036505 0.2149608333905538 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
12 yahoo_answers 0.7126666666666667 0.0812474717485143 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
13 dbpedia 0.7606666666666667 0.0535212628384853 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
14 20_newsgroup 0.8628518321826872 0.0942221738524356 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
15 trec_fine 0.926 0.0530815310776233 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
16 trec_coarse 0.982 0.0087551660835742 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
17 poem_sentiment 0.0 0.7378407716751099 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
18 imdb 0.92564 0.0212814838380155 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
19 rotten_tomatoes 0.8893058161350844 0.0688957607044893 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
20 sst_5bins 0.5502262443438914 0.114660712650844 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
21 sst2 0.9380733944954128 0.0214508197137287 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
22 amazon_reviews_multi 0.6634 0.0646124797262203 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
23 financial_phrasebank 0.827 0.1086987927556037 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
24 tweet_ev_emoji 0.45782 0.1612444271739293 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
25 tweet_ev_emotion 0.8205489092188599 0.0838802337646484 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
26 tweet_ev_hate 0.5417508417508418 0.4918301079862861 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
27 tweet_ev_irony 0.7346938775510204 0.044871129989624 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
28 tweet_ev_offensive 0.8465116279069768 0.030673481799938 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
29 tweet_ev_sentiment 0.6991208075545425 0.0593151201804479 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
30 mnli 0.8651342554922702 0.0321166515350341 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
31 qnli 0.928610653487095 0.0169806564063356 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
32 rte 0.7833935018050542 0.1897737582524617 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
33 wnli 0.5633802816901409 0.1203755736351013 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
34 esnli 0.9028908794788274 0.0225858393243547 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
35 anli 0.49625 0.1330997276306152 0 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_141
36 cola 0.8159156279961649 0.059826525774869 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
37 mrpc 0.8455882352941176 0.0497313967117896 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
38 qqp 0.9066287410338856 0.019682310804536 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
39 stsb 0.2908544540405273 0.5934452325490922 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
40 boolq 0.7840978593272171 0.1103326649341768 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
41 cb 0.6964285714285714 0.1298163831233978 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
42 copa 0.53 0.1704210340976715 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
43 multirc 0.6014851485148515 0.0706206622876619 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
44 wic 0.6504702194357367 0.0638065457344055 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
45 wsc 0.6153846153846154 0.057007048279047 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
46 ag_news 0.8956666666666667 0.0275690936027689 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
47 isear 0.7255541069100391 0.0745078523953755 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
48 yahoo_answers 0.7153333333333334 0.0833680579002867 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
49 dbpedia 0.7723333333333333 0.0519241931590628 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
50 20_newsgroup 0.859798194370685 0.0879670967489986 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
51 trec_fine 0.918 0.0530684553086757 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
52 trec_coarse 0.976 0.016919994726777 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
53 poem_sentiment 0.8269230769230769 0.0671689584851265 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
54 imdb 0.92808 0.0232850194282239 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
55 rotten_tomatoes 0.8893058161350844 0.0811063051223754 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
56 sst_5bins 0.5588235294117647 0.1069061619894845 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
57 sst2 0.9403669724770642 0.0188153748001371 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
58 amazon_reviews_multi 0.6676 0.06656499729035 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
59 financial_phrasebank 0.849 0.1063041016459465 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
60 tweet_ev_emoji 0.45364 0.1684516813994521 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
61 tweet_ev_emotion 0.8254750175932442 0.1112901263766818 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
62 tweet_ev_hate 0.5363636363636364 0.4710481705204133 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
63 tweet_ev_irony 0.7563775510204082 0.1464188194274902 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
64 tweet_ev_offensive 0.8453488372093023 0.0305376163235417 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
65 tweet_ev_sentiment 0.700179094757408 0.0586546510457992 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
66 mnli 0.8671684296175752 0.0309429509299142 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
67 qnli 0.9284276038806516 0.0213157084950229 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
68 rte 0.5992779783393501 0.0565926300154791 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
69 wnli 0.5070422535211268 0.1163475712140401 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
70 esnli 0.9015675895765471 0.0227143244168657 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
71 anli 0.499375 0.1865156364440918 1 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_142
72 cola 0.8130393096836049 0.082834547216242 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
73 mrpc 0.8627450980392157 0.0771891062076275 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
74 qqp 0.9062824635171902 0.019645069218889 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
75 stsb 0.4027441714672332 0.8862852882137744 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
76 boolq 0.791743119266055 0.0933592712994918 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
77 cb 0.875 0.0462652333080768 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
78 copa 0.55 0.1568702161312103 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
79 multirc 0.6148927392739274 0.0674387530276649 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
80 wic 0.6880877742946708 0.239604902267456 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
81 wsc 0.6346153846153846 0.0565083920955657 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
82 ag_news 0.8953333333333333 0.0273594019260812 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
83 isear 0.7242503259452412 0.1012192567189534 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
84 yahoo_answers 0.719 0.0827043563761609 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
85 dbpedia 0.7556666666666667 0.0549942534020606 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
86 20_newsgroup 0.8494423791821561 0.0887801930055779 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
87 trec_fine 0.928 0.0538878142833709 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
88 trec_coarse 0.976 0.0179661624133586 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
89 poem_sentiment 0.8846153846153846 0.070187009871006 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
90 imdb 0.92588 0.0346393536423783 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
91 rotten_tomatoes 0.8902439024390244 0.0367199813618379 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
92 sst_5bins 0.5579185520361991 0.0965854099818638 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
93 sst2 0.9346330275229358 0.0191118227584021 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
94 amazon_reviews_multi 0.6718 0.0648150292171794 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
95 financial_phrasebank 0.857 0.0397337488830089 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
96 tweet_ev_emoji 0.45356 0.1743383328272452 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
97 tweet_ev_emotion 0.3835327234342012 0.1377800093756781 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
98 tweet_ev_hate 0.5148148148148148 0.4392502897529192 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
99 tweet_ev_irony 0.7321428571428571 0.2126437950134277 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
100 tweet_ev_offensive 0.8488372093023255 0.031003576737863 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
101 tweet_ev_sentiment 0.7102735265385868 0.0556187729040781 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
102 mnli 0.8677786818551668 0.0298497986483883 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
103 qnli 0.925498810177558 0.0185985397874263 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
104 rte 0.7689530685920578 0.1532342169019911 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
105 wnli 0.5211267605633803 0.1158586343129475 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
106 esnli 0.9063517915309446 0.0223783949687348 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
107 anli 0.5009375 0.1889915084838867 2 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_143
108 cola 0.8302972195589645 0.1252715081879586 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
109 mrpc 0.8774509803921569 0.0530493030181297 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
110 qqp 0.8980707395498392 0.0213305829446527 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
111 stsb 0.4669374912343126 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
112 boolq 0.7990825688073394 0.1365263948162782 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
113 cb 0.8214285714285714 0.0430705659091472 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
114 copa 0.43 0.1012019664049148 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
115 multirc 0.5823019801980198 0.0669133851402684 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
116 wic 0.700626959247649 0.2285283803939819 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
117 wsc 0.625 0.0550076514482498 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
118 ag_news 0.896 0.0309272725531395 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
119 isear 0.7014341590612777 0.0706646939118703 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
120 yahoo_answers 0.7183333333333334 0.0798205720617416 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
121 dbpedia 0.7676666666666667 0.0513468955425505 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
122 20_newsgroup 0.8620552310143388 0.0853438054100941 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
123 trec_fine 0.926 0.0533934757113456 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
124 trec_coarse 0.978 0.0149453533813357 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
125 poem_sentiment 0.0 0.7419521808624268 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
126 imdb 0.92672 0.0217643869502465 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
127 rotten_tomatoes 0.8808630393996247 0.0282231832251829 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
128 sst_5bins 0.5479638009049774 0.0883229187556675 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
129 sst2 0.9392201834862384 0.0179335453680583 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
130 amazon_reviews_multi 0.668 0.0653518749650117 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
131 financial_phrasebank 0.862 0.0897567644715309 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
132 tweet_ev_emoji 0.46148 0.1519012255921855 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
133 tweet_ev_emotion 0.8212526389866291 0.0766036669413248 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
134 tweet_ev_hate 0.5484848484848485 0.5177294413248698 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
135 tweet_ev_irony 0.7691326530612245 0.0718889904022216 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
136 tweet_ev_offensive 0.836046511627907 0.0308981074227227 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
137 tweet_ev_sentiment 0.6986323673070661 0.0572611937920252 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
138 mnli 0.8655410903173312 0.0316501902295397 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
139 qnli 0.9264140582097748 0.0170722858250489 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
140 rte 0.740072202166065 0.142108228471544 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
141 wnli 0.5633802816901409 0.1671548684438069 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
142 esnli 0.9082858306188925 0.0218355119810818 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
143 anli 0.4946875 0.198177433013916 3 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_144
144 cola 0.8302972195589645 0.1278481627955581 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
145 mrpc 0.8676470588235294 0.0901237084315373 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
146 qqp 0.9091268859757604 0.0200625160072423 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
147 stsb 0.3923228649382895 0.8904001484772605 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
148 boolq 0.7941896024464832 0.1322931271154903 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
149 cb 0.8571428571428571 0.0410106852650642 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
150 copa 0.56 0.0585891790688037 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
151 multirc 0.6010726072607261 0.0777183959358616 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
152 wic 0.6865203761755486 0.2023038864135742 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
153 wsc 0.5673076923076923 0.109412670135498 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
154 ag_news 0.898 0.0266372954591791 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
155 isear 0.7151238591916558 0.1889572342236836 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
156 yahoo_answers 0.7186666666666667 0.0800368988767583 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
157 dbpedia 0.7766666666666666 0.0505204606563486 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
158 20_newsgroup 0.816250663834307 0.0569567437899314 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
159 trec_fine 0.924 0.0633227303624153 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
160 trec_coarse 0.98 0.0093344412744045 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
161 poem_sentiment 0.8461538461538461 0.0675627291202545 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
162 imdb 0.92412 0.0394477502769216 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
163 rotten_tomatoes 0.8827392120075047 0.0638773932176477 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
164 sst_5bins 0.5533936651583711 0.0869621276855468 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
165 sst2 0.9403669724770642 0.0171926266380718 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
166 amazon_reviews_multi 0.6636 0.0642614911316306 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
167 financial_phrasebank 0.868 0.0330644398927688 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
168 tweet_ev_emoji 0.4637 0.1562186433836017 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
169 tweet_ev_emotion 0.812807881773399 0.0660513401031494 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
170 tweet_ev_hate 0.5232323232323233 0.3812063893964214 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
171 tweet_ev_irony 0.75 0.0798827791213989 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
172 tweet_ev_offensive 0.8418604651162791 0.0314219721726008 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
173 tweet_ev_sentiment 0.6993650276782807 0.0567895919084548 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
174 mnli 0.8621847030105777 0.031055939661992 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
175 qnli 0.928610653487095 0.0239568258586682 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
176 rte 0.7653429602888087 0.1733876334296332 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
177 wnli 0.5633802816901409 0.1722854375839233 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
178 esnli 0.8958672638436482 0.0235624158032942 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
179 anli 0.4865625 0.1655951881408691 4 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_145
180 cola 0.8216682646212847 0.0612034580924294 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
181 mrpc 0.8627450980392157 0.0833639089877788 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
182 qqp 0.9051694286420976 0.0201827091506764 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
183 stsb 0.5243788780050075 0.8835308732734815 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
184 boolq 0.7972477064220184 0.1262008868730985 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
185 cb 0.8392857142857143 0.0431930162012577 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
186 copa 0.46 0.1226225644350051 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
187 multirc 0.6004537953795379 0.0749431472075612 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
188 wic 0.6786833855799373 0.2483779907226562 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
189 wsc 0.5673076923076923 0.0589617267251014 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
190 ag_news 0.891 0.0284886563077886 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
191 isear 0.7059973924380704 0.1847965518633524 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
192 yahoo_answers 0.7096666666666667 0.0852556330092409 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
193 dbpedia 0.7696666666666667 0.0512939057451613 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
194 20_newsgroup 0.8552841210833776 0.0928520267292604 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
195 trec_fine 0.92 0.0572920590639114 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
196 trec_coarse 0.978 0.0108718639239668 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
197 poem_sentiment 0.8461538461538461 0.0869151428341865 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
198 imdb 0.92972 0.0363310011451506 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
199 rotten_tomatoes 0.8930581613508443 0.0814656439949484 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
200 sst_5bins 0.5434389140271493 0.1295050076075962 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
201 sst2 0.9403669724770642 0.0165665979896272 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
202 amazon_reviews_multi 0.668 0.0646256003410193 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
203 financial_phrasebank 0.838 0.1011730954051017 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
204 tweet_ev_emoji 0.45456 0.1697850047359844 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
205 tweet_ev_emotion 0.8177339901477833 0.0892730606926812 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
206 tweet_ev_hate 0.5104377104377105 0.5175438337428595 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
207 tweet_ev_irony 0.461734693877551 0.0695479536056518 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
208 tweet_ev_offensive 0.8418604651162791 0.0300398513122841 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
209 tweet_ev_sentiment 0.6978997069358515 0.0566576619942983 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
210 mnli 0.8660496338486574 0.0317619373271991 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
211 qnli 0.9278784550613216 0.0209961997138129 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
212 rte 0.7617328519855595 0.1146294011010064 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
213 wnli 0.5633802816901409 0.1467019021511078 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
214 esnli 0.903807003257329 0.0228390709196705 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
215 anli 0.4946875 0.1532446765899658 5 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_146
216 cola 0.8159156279961649 0.1137607242121841 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
217 mrpc 0.8848039215686274 0.084912190070519 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
218 qqp 0.9038585209003216 0.0205083587501622 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
219 stsb 0.3237733232214095 0.8800276711783894 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
220 boolq 0.6220183486238532 0.0582337934994003 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
221 cb 0.0 1.8635098934173584 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
222 copa 0.55 0.1182567775249481 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
223 multirc 0.6138613861386139 0.0605854548906025 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
224 wic 0.7021943573667712 0.2479216814041137 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
225 wsc 0.5480769230769231 0.0580654516816139 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
226 ag_news 0.892 0.0272588476221612 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
227 isear 0.7144719687092569 0.1769248644510904 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
228 yahoo_answers 0.723 0.0832427917642796 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
229 dbpedia 0.767 0.0521434621608003 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
230 20_newsgroup 0.861125862984599 0.086042484994662 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
231 trec_fine 0.93 0.0629110336303711 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
232 trec_coarse 0.972 0.0202174391597509 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
233 poem_sentiment 0.8461538461538461 0.0501922965049743 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
234 imdb 0.92448 0.0373474838178785 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
235 rotten_tomatoes 0.8874296435272045 0.0295317909296821 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
236 sst_5bins 0.5570135746606335 0.203717041015625 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
237 sst2 0.944954128440367 0.0167731887527874 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
238 amazon_reviews_multi 0.6648 0.064902475685071 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
239 financial_phrasebank 0.853 0.112849973142147 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
240 tweet_ev_emoji 0.46072 0.1589740111289387 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
241 tweet_ev_emotion 0.8142153413089374 0.0709805382622612 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
242 tweet_ev_hate 0.5218855218855218 0.5397447565550445 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
243 tweet_ev_irony 0.7614795918367347 0.0863493728637695 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
244 tweet_ev_offensive 0.8348837209302326 0.0320720010333591 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
245 tweet_ev_sentiment 0.7031097362422664 0.0559095442295074 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
246 mnli 0.8672701383238405 0.0314739493580607 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
247 qnli 0.9245835621453414 0.0165871751238728 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
248 rte 0.776173285198556 0.1577840513653225 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
249 wnli 0.5492957746478874 0.1157285769780476 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
250 esnli 0.9050285016286646 0.0220701034371938 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
251 anli 0.4875 0.1465592575073242 6 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_147
252 cola 0.8264621284755513 0.1071573748733058 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
253 mrpc 0.8676470588235294 0.103124792759235 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
254 qqp 0.9060103883255008 0.0204622473897813 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
255 stsb 0.3520776430765788 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
256 boolq 0.7792048929663609 0.1300561497512373 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
257 cb 0.7857142857142857 0.050038531422615 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
258 copa 0.5 0.0593743994832038 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
259 multirc 0.6150990099009901 0.0568868737471731 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
260 wic 0.6865203761755486 0.2477412462234497 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
261 wsc 0.625 0.0565132088959217 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
262 ag_news 0.8956666666666667 0.0270443622102128 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
263 isear 0.7138200782268579 0.0883392095565795 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
264 yahoo_answers 0.7193333333333334 0.0813084003773141 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
265 dbpedia 0.7723333333333333 0.0517527042551243 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
266 20_newsgroup 0.8530270844397239 0.0746807486323987 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
267 trec_fine 0.922 0.0678553581237793 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
268 trec_coarse 0.982 0.0177069399505853 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
269 poem_sentiment 0.8365384615384616 0.0756667852401733 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
270 imdb 0.92728 0.0326969336975565 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
271 rotten_tomatoes 0.8846153846153846 0.0397104655995088 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
272 sst_5bins 0.5597285067873303 0.0891346386500767 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
273 sst2 0.9346330275229358 0.0198373943567276 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
274 amazon_reviews_multi 0.6694 0.0641547950210085 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
275 financial_phrasebank 0.844 0.1136715039610862 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
276 tweet_ev_emoji 0.46288 0.1527100195125059 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
277 tweet_ev_emotion 0.8275862068965517 0.1128315077887641 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
278 tweet_ev_hate 0.5383838383838384 0.4250173261088709 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
279 tweet_ev_irony 0.7767857142857143 0.1608062744140625 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
280 tweet_ev_offensive 0.8465116279069768 0.0305026681334884 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
281 tweet_ev_sentiment 0.7009931618365354 0.0601340283950169 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
282 mnli 0.8663547599674533 0.0309805250787115 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
283 qnli 0.9273293062419916 0.0175476924717774 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
284 rte 0.7545126353790613 0.1828511688444349 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
285 wnli 0.5633802816901409 0.1032992601394653 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
286 esnli 0.9093037459283388 0.0216476552261203 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
287 anli 0.49125 0.1922882461547851 7 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_148
288 cola 0.8235858101629914 0.1179551283518473 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
289 mrpc 0.8700980392156863 0.0805779512111957 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
290 qqp 0.863442987880287 0.0258670758597458 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
291 stsb 0.4863225652816448 0.885637282233759 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
292 boolq 0.7926605504587156 0.1342012072072445 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
293 cb 0.8392857142857143 0.0523607656359672 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
294 copa 0.54 0.1937468498945236 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
295 multirc 0.614480198019802 0.0662931956742939 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
296 wic 0.664576802507837 0.2087912797927856 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
297 wsc 0.6346153846153846 0.0566621124744415 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
298 ag_news 0.898 0.0278073777543737 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
299 isear 0.7203389830508474 0.0756304760773976 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
300 yahoo_answers 0.7173333333333334 0.0776048619696434 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
301 dbpedia 0.765 0.0525396884755885 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
302 20_newsgroup 0.8524960169941582 0.0771251532991053 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
303 trec_fine 0.92 0.0607046335935592 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
304 trec_coarse 0.98 0.0190204288810491 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
305 poem_sentiment 0.8653846153846154 0.1175368800759315 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
306 imdb 0.92408 0.034063517285125 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
307 rotten_tomatoes 0.8799249530956847 0.0924317696515251 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
308 sst_5bins 0.5638009049773756 0.0882156576429094 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
309 sst2 0.9380733944954128 0.0197758695908955 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
310 amazon_reviews_multi 0.6664 0.064694337784105 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
311 financial_phrasebank 0.828 0.1255168318748474 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
312 tweet_ev_emoji 0.45616 0.1693655295930302 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
313 tweet_ev_emotion 0.8226600985221675 0.0707449595133463 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
314 tweet_ev_hate 0.5121212121212121 0.5553720945953041 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
315 tweet_ev_irony 0.7576530612244898 0.2250359153747558 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
316 tweet_ev_offensive 0.8337209302325581 0.0338323800652115 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
317 tweet_ev_sentiment 0.708075545424943 0.0565634171168009 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
318 mnli 0.8629983726606998 0.0301383904048374 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
319 qnli 0.9280615046677648 0.0186859230662501 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
320 rte 0.7689530685920578 0.1861825651592678 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
321 wnli 0.5633802816901409 0.1554207901159922 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
322 esnli 0.9050285016286646 0.0218925212027583 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
323 anli 0.495625 0.1930789184570312 8 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_149
324 cola 0.8139980824544583 0.1153186306808934 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
325 mrpc 0.6838235294117647 0.0543779347624097 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
326 qqp 0.9038585209003216 0.0210090739817558 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
327 stsb 0.3507602366995304 0.8870097139097726 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
328 boolq 0.7929663608562691 0.1153107707940259 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
329 cb 0.8571428571428571 0.0397606752812862 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
330 copa 0.49 0.0634282529354095 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
331 multirc 0.6004537953795379 0.0744055823275917 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
332 wic 0.6739811912225705 0.2961950063705444 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
333 wsc 0.6153846153846154 0.1973296105861663 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
334 ag_news 0.8956666666666667 0.0276067383745883 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
335 isear 0.7190352020860495 0.1908917427062988 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
336 yahoo_answers 0.712 0.0798828043836228 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
337 dbpedia 0.7673333333333333 0.0506960838399034 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
338 20_newsgroup 0.8562134891131173 0.0931895466174109 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
339 trec_fine 0.924 0.0702359080314636 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
340 trec_coarse 0.86 0.0481118410825729 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
341 poem_sentiment 0.8173076923076923 0.0763527899980545 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
342 imdb 0.92408 0.021671417119253 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
343 rotten_tomatoes 0.8902439024390244 0.0279704016797682 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
344 sst_5bins 0.5538461538461539 0.1171672412327357 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
345 sst2 0.94151376146789 0.0189777101789202 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
346 amazon_reviews_multi 0.6702 0.064195086242287 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
347 financial_phrasebank 0.872 0.0835761874914169 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
348 tweet_ev_emoji 0.46032 0.1597192706927533 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
349 tweet_ev_emotion 0.8184377199155525 0.1319085862901475 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
350 tweet_ev_hate 0.538047138047138 0.4398334462155578 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
351 tweet_ev_irony 0.7665816326530612 0.1443314170837402 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
352 tweet_ev_offensive 0.8290697674418605 0.0316951760539302 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
353 tweet_ev_sentiment 0.7050634972321719 0.0590338160594304 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
354 mnli 0.8658462164361269 0.0325358440349628 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
355 qnli 0.9275123558484348 0.0216564769633332 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
356 rte 0.7725631768953068 0.1678063869476318 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
357 wnli 0.5633802816901409 0.1212460001309712 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
358 esnli 0.9060464169381108 0.0226477660263011 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
359 anli 0.4878125 0.1418612670898437 9 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_150
360 cola 0.8139980824544583 0.0673907083623549 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
361 mrpc 0.8627450980392157 0.0610365500816932 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
362 qqp 0.9088300766757358 0.0203585277629804 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
363 stsb 0.4079300900723072 0.8862124494240239 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
364 boolq 0.7850152905198777 0.0628681595508868 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
365 cb 0.8214285714285714 0.0454676896333694 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
366 copa 0.41 0.110755331814289 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
367 multirc 0.6148927392739274 0.0713998393008583 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
368 wic 0.6818181818181818 0.2625237464904785 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
369 wsc 0.625 0.0562492720782756 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
370 ag_news 0.8986666666666666 0.0274224636402535 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
371 isear 0.7151238591916558 0.1188040375709533 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
372 yahoo_answers 0.7153333333333334 0.0848425043390152 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
373 dbpedia 0.7756666666666666 0.0503866063787582 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
374 20_newsgroup 0.8563462559745088 0.0914286516480526 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
375 trec_fine 0.92 0.0546984188258647 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
376 trec_coarse 0.982 0.0186923928558826 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
377 poem_sentiment 0.8365384615384616 0.0721960067749023 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
378 imdb 0.92264 0.0213656925484347 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
379 rotten_tomatoes 0.8893058161350844 0.0348290205001831 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
380 sst_5bins 0.5524886877828055 0.0905240058898925 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
381 sst2 0.9357798165137616 0.0157482506973402 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
382 amazon_reviews_multi 0.657 0.0651724991525054 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
383 financial_phrasebank 0.848 0.1133480668067932 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
384 tweet_ev_emoji 0.45438 0.1677425333268354 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
385 tweet_ev_emotion 0.8212526389866291 0.1038650429767111 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
386 tweet_ev_hate 0.5296296296296297 0.535664302046581 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
387 tweet_ev_irony 0.7512755102040817 0.2231775430532602 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
388 tweet_ev_offensive 0.8337209302325581 0.0308833762451454 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
389 tweet_ev_sentiment 0.7013187886681863 0.0589468280474344 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
390 mnli 0.8632017900732303 0.0314339136148427 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
391 qnli 0.8319604612850082 0.0320865137632503 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
392 rte 0.7653429602888087 0.1282873286141289 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
393 wnli 0.5633802816901409 0.1743295987447103 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
394 esnli 0.9076750814332248 0.0217270291977674 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
395 anli 0.495 0.1788630485534668 10 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_151
396 cola 0.8197507190795782 0.0727130860993356 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
397 mrpc 0.8799019607843137 0.0908817327939547 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
398 qqp 0.9033391046252782 0.0206072828437708 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
399 stsb 0.2852820944278798 0.6546304198186458 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
400 boolq 0.6198776758409786 0.0570896250530354 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
401 cb 0.6785714285714286 0.1014565974473953 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
402 copa 0.5 0.1050968468189239 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
403 multirc 0.6163366336633663 0.0701163442511307 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
404 wic 0.5172413793103449 0.0602296710014343 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
405 wsc 0.5961538461538461 0.0572397373616695 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
406 ag_news 0.8803333333333333 0.0291017750476269 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
407 isear 0.7144719687092569 0.1185434460639953 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
408 yahoo_answers 0.714 0.0787304259361104 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
409 dbpedia 0.767 0.0520330642132048 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
410 20_newsgroup 0.8607275624004248 0.0794851820347672 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
411 trec_fine 0.914 0.0471677891910076 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
412 trec_coarse 0.976 0.0177138559520244 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
413 poem_sentiment 0.6538461538461539 0.0878119990229606 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
414 imdb 0.87516 0.0260845852629912 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
415 rotten_tomatoes 0.8883677298311444 0.0272413544795092 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
416 sst_5bins 0.5502262443438914 0.0864026069641113 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
417 sst2 0.9243119266055044 0.0180631386382239 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
418 amazon_reviews_multi 0.6666 0.0644981710216667 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
419 financial_phrasebank 0.865 0.0555172376334667 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
420 tweet_ev_emoji 0.3423 0.1879602238221269 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
421 tweet_ev_emotion 0.7867698803659395 0.0506617969936794 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
422 tweet_ev_hate 0.52996632996633 0.5424296061197916 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
423 tweet_ev_irony 0.7653061224489796 0.2498110771179199 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
424 tweet_ev_offensive 0.8383720930232558 0.0312033096949259 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
425 tweet_ev_sentiment 0.7031911429501791 0.0597215592861175 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
426 mnli 0.8476403580146461 0.0338646653410676 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
427 qnli 0.5592165476844225 0.0555658174115558 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
428 rte 0.7617328519855595 0.1383082336849636 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
429 wnli 0.5633802816901409 0.1041162510712941 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
430 esnli 0.7890879478827362 0.0450941494532993 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
431 anli 0.333125 0.0948348045349121 11 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_152
432 cola 0.8111217641418984 0.048399603728092 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
433 mrpc 0.7720588235294118 0.0424248117666978 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
434 qqp 0.8175612169181301 0.0330454397805129 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
435 stsb 0.3235299536522398 0.8829668637472271 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
436 boolq 0.6513761467889908 0.0517695454450754 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
437 cb 0.6785714285714286 0.1088157445192337 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
438 copa 0.48 0.0595165751874446 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
439 multirc 0.5693069306930693 0.0572629288623207 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
440 wic 0.6614420062695925 0.1215473413467407 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
441 wsc 0.5576923076923077 0.221563845872879 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
442 ag_news 0.886 0.0293088847018302 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
443 isear 0.7157757496740548 0.1220313509305318 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
444 yahoo_answers 0.7126666666666667 0.0812018374179271 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
445 dbpedia 0.721 0.0614129279522185 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
446 20_newsgroup 0.7919543281996814 0.0617244688131041 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
447 trec_fine 0.904 0.0417031645774841 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
448 trec_coarse 0.98 0.0115462895482778 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
449 poem_sentiment 0.6634615384615384 0.0860971808433532 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
450 imdb 0.92556 0.0192249668833544 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
451 rotten_tomatoes 0.8836772983114447 0.026394190157161 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
452 sst_5bins 0.5678733031674208 0.0890535422733851 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
453 sst2 0.9323394495412844 0.016524066882474 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
454 amazon_reviews_multi 0.6596 0.0657972955400017 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
455 financial_phrasebank 0.867 0.0347761698067188 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
456 tweet_ev_emoji 0.40596 0.1634311139431146 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
457 tweet_ev_emotion 0.8156228008444757 0.0745953506893581 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
458 tweet_ev_hate 0.51010101010101 0.1763191428235782 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
459 tweet_ev_irony 0.7729591836734694 0.1731104483971229 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
460 tweet_ev_offensive 0.8453488372093023 0.0312996043099297 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
461 tweet_ev_sentiment 0.7028655161185282 0.0560165842374165 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
462 mnli 0.7032139951179821 0.0582138036752676 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
463 qnli 0.9267801574226616 0.0174025150767543 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
464 rte 0.7075812274368231 0.0537104487419128 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
465 wnli 0.5633802816901409 0.1808618505795796 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
466 esnli 0.8921009771986971 0.0249918338141922 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
467 anli 0.395625 0.1153555297851562 12 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_153
468 cola 0.8235858101629914 0.1193051057703354 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
469 mrpc 0.8676470588235294 0.0625888534954616 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
470 qqp 0.9022260697501856 0.0199736024759992 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
471 stsb 0.387625257174174 0.8903716580698207 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
472 boolq 0.7837920489296636 0.0828865384592593 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
473 cb 0.5892857142857143 0.1342149972915649 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
474 copa 0.55 0.1706429123878479 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
475 multirc 0.6097359735973598 0.0560777375572606 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
476 wic 0.6598746081504702 0.2660469055175781 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
477 wsc 0.6346153846153846 0.1584080457687378 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
478 ag_news 0.896 0.0269731333915223 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
479 isear 0.7170795306388527 0.0785466134548187 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
480 yahoo_answers 0.7123333333333334 0.0847607470573263 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
481 dbpedia 0.7586666666666667 0.0552434464718433 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
482 20_newsgroup 0.8498406797663304 0.0644255169367386 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
483 trec_fine 0.928 0.0616823174059391 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
484 trec_coarse 0.972 0.0192158799618482 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
485 poem_sentiment 0.8173076923076923 0.0692985206842422 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
486 imdb 0.9254 0.0286958967633259 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
487 rotten_tomatoes 0.8808630393996247 0.0750236020368688 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
488 sst_5bins 0.5597285067873303 0.0887846878596714 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
489 sst2 0.9438073394495412 0.0171494249786649 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
490 amazon_reviews_multi 0.6564 0.0668794121711876 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
491 financial_phrasebank 0.864 0.0966447442770004 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
492 tweet_ev_emoji 0.45604 0.1639007353584353 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
493 tweet_ev_emotion 0.8198451794510908 0.0947474055820041 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
494 tweet_ev_hate 0.5242424242424243 0.5411570934539146 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
495 tweet_ev_irony 0.514030612244898 0.1953006362915039 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
496 tweet_ev_offensive 0.8453488372093023 0.0309707897680777 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
497 tweet_ev_sentiment 0.7031911429501791 0.058716798822085 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
498 mnli 0.8597436940602116 0.0311850789305451 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
499 qnli 0.9269632070291048 0.0163961000609816 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
500 rte 0.7545126353790613 0.1132624414232042 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
501 wnli 0.5633802816901409 0.1135325034459431 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
502 esnli 0.8958672638436482 0.0234956026853878 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
503 anli 0.4559375 0.1169024753570556 13 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_154
504 cola 0.8130393096836049 0.0562568447169135 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
505 mrpc 0.8480392156862745 0.041180120064662 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
506 qqp 0.9083848627256988 0.0202229354954973 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
507 stsb 0.6621121751501206 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
508 boolq 0.7896024464831805 0.1116230946320753 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
509 cb 0.8035714285714286 0.04996894672513 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
510 copa 0.54 0.0613324642181396 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
511 multirc 0.6140676567656765 0.0639344328328182 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
512 wic 0.670846394984326 0.18933767080307 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
513 wsc 0.6346153846153846 0.143204927444458 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
514 ag_news 0.898 0.0283992493406255 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
515 isear 0.71251629726206 0.2056005597114563 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
516 yahoo_answers 0.7123333333333334 0.082994410332213 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
517 dbpedia 0.7623333333333333 0.0529844355075917 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
518 20_newsgroup 0.8539564524694636 0.0830104714733059 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
519 trec_fine 0.918 0.0449926517903804 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
520 trec_coarse 0.974 0.0237981379032135 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
521 poem_sentiment 0.8557692307692307 0.0617423541843891 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
522 imdb 0.92708 0.0207323991429165 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
523 rotten_tomatoes 0.8827392120075047 0.0388017507160411 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
524 sst_5bins 0.56289592760181 0.0856608527047293 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
525 sst2 0.94151376146789 0.0210048066718237 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
526 amazon_reviews_multi 0.6632 0.0646041639291556 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
527 financial_phrasebank 0.844 0.1081409603357315 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
528 tweet_ev_emoji 0.4579 0.1545485522757717 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
529 tweet_ev_emotion 0.8099929627023223 0.0917669275532598 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
530 tweet_ev_hate 0.5276094276094276 0.5139134314752394 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
531 tweet_ev_irony 0.7971938775510204 0.1635179328918457 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
532 tweet_ev_offensive 0.8430232558139535 0.0320483765431812 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
533 tweet_ev_sentiment 0.6995278410941062 0.0584786732991536 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
534 mnli 0.859947111472742 0.0318148167102367 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
535 qnli 0.922203917261578 0.024252144216794 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
536 rte 0.7509025270758123 0.0677924884690178 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
537 wnli 0.5633802816901409 0.1368667085965474 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
538 esnli 0.8928135179153095 0.0245478787979522 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
539 anli 0.4584375 0.1302266979217529 14 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_155
540 cola 0.825503355704698 0.0981070200602213 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
541 mrpc 0.8921568627450981 0.0941145236675555 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
542 qqp 0.7083353945090279 0.0461696371247496 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
543 stsb 0.4043910249750665 0.886952238108616 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
544 boolq 0.7889908256880734 0.0771446413206822 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
545 cb 0.8214285714285714 0.0415678955614566 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
546 copa 0.5 0.0578548461198806 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
547 multirc 0.6031353135313532 0.0640106138430143 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
548 wic 0.6865203761755486 0.220235013961792 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
549 wsc 0.6346153846153846 0.1391751021146774 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
550 ag_news 0.895 0.0287090616023286 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
551 isear 0.711864406779661 0.1870238979657491 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
552 yahoo_answers 0.7203333333333334 0.0823784787604149 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
553 dbpedia 0.7673333333333333 0.0516661684563819 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
554 20_newsgroup 0.8530270844397239 0.0638994524034403 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
555 trec_fine 0.924 0.0577226318418979 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
556 trec_coarse 0.976 0.0200183615088462 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
557 poem_sentiment 0.8461538461538461 0.0626380667090416 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
558 imdb 0.9264 0.0187520749123809 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
559 rotten_tomatoes 0.8827392120075047 0.0283450291437261 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
560 sst_5bins 0.5570135746606335 0.0965496403830392 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
561 sst2 0.9403669724770642 0.017589866050652 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
562 amazon_reviews_multi 0.6588 0.0660667237202832 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
563 financial_phrasebank 0.858 0.1141100972890853 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
564 tweet_ev_emoji 0.45906 0.1661126997769641 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
565 tweet_ev_emotion 0.8135116115411682 0.069048523902893 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
566 tweet_ev_hate 0.5262626262626262 0.3707396394462995 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
567 tweet_ev_irony 0.7780612244897959 0.1407725620269775 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
568 tweet_ev_offensive 0.8325581395348837 0.0317649245262146 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
569 tweet_ev_sentiment 0.6985509605991533 0.0690732250610987 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
570 mnli 0.8688974776240846 0.030270344251162 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
571 qnli 0.9267801574226616 0.0169196449525175 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
572 rte 0.5487364620938628 0.0576882229910956 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
573 wnli 0.5633802816901409 0.1751028895378112 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
574 esnli 0.902992671009772 0.0224839126636616 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
575 anli 0.423125 0.1172151088714599 15 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_156
576 cola 0.8092042186001918 0.1033902729258817 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
577 mrpc 0.8946078431372549 0.0925790071487426 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
578 qqp 0.903635913925303 0.0211019350003592 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
579 stsb 0.3589256367784865 0.8911068167208536 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
580 boolq 0.7859327217125383 0.0976172043726994 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
581 cb 0.8571428571428571 0.041294552385807 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
582 copa 0.52 0.0598320960998535 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
583 multirc 0.6146864686468647 0.0627620471151251 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
584 wic 0.6755485893416928 0.1741840362548828 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
585 wsc 0.6057692307692307 0.0554763190448284 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
586 ag_news 0.8886666666666667 0.0279622965670646 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
587 isear 0.6649282920469362 0.0787825882434845 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
588 yahoo_answers 0.7206666666666667 0.0823169312578566 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
589 dbpedia 0.7716666666666666 0.0518151547046417 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
590 20_newsgroup 0.8562134891131173 0.0916577921075336 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
591 trec_fine 0.922 0.0666174963116645 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
592 trec_coarse 0.98 0.0184544213116168 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
593 poem_sentiment 0.8557692307692307 0.106925681233406 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
594 imdb 0.92604 0.0205640670893442 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
595 rotten_tomatoes 0.8846153846153846 0.0294207439703099 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
596 sst_5bins 0.5524886877828055 0.096545934677124 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
597 sst2 0.9392201834862384 0.0175695823771613 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
598 amazon_reviews_multi 0.6666 0.0641088606436041 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
599 financial_phrasebank 0.86 0.0791360959410667 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
600 tweet_ev_emoji 0.46266 0.1592595154706743 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
601 tweet_ev_emotion 0.8135116115411682 0.0565541426340738 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
602 tweet_ev_hate 0.5292929292929293 0.4964244801511047 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
603 tweet_ev_irony 0.7780612244897959 0.1686659431457519 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
604 tweet_ev_offensive 0.8372093023255814 0.0302795065300805 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
605 tweet_ev_sentiment 0.7000162813415826 0.0601488997538884 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
606 mnli 0.5124084621643613 0.0845238202578061 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
607 qnli 0.9271462566355484 0.0177224379533912 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
608 rte 0.776173285198556 0.1720532576243082 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
609 wnli 0.5633802816901409 0.1692829728126526 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
610 esnli 0.906555374592834 0.0215977737103689 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
611 anli 0.4725 0.1294833564758301 16 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_157
612 cola 0.822627037392138 0.0758377383737003 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
613 mrpc 0.8725490196078431 0.0606412016428433 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
614 qqp 0.9101162503091764 0.0209636009192164 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
615 stsb 0.4953252102466339 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
616 boolq 0.7941896024464832 0.1265444246310632 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
617 cb 0.8571428571428571 0.0473158061504364 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
618 copa 0.43 0.0618924684822559 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
619 multirc 0.610973597359736 0.0684472636172646 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
620 wic 0.6959247648902821 0.1879211783409118 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
621 wsc 0.6057692307692307 0.0566071234643459 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
622 ag_news 0.8923333333333333 0.0276199274874748 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
623 isear 0.7196870925684485 0.2153372963269551 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
624 yahoo_answers 0.72 0.0826579763534221 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
625 dbpedia 0.7623333333333333 0.0524255062671417 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
626 20_newsgroup 0.8578066914498141 0.0900100853483555 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
627 trec_fine 0.932 0.0537329465150833 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
628 trec_coarse 0.98 0.0149405328556895 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
629 poem_sentiment 0.8461538461538461 0.0756938681006431 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
630 imdb 0.924 0.0240319659337973 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
631 rotten_tomatoes 0.8883677298311444 0.0758206633960499 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
632 sst_5bins 0.5565610859728507 0.0983046804155622 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
633 sst2 0.9426605504587156 0.016704828611442 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
634 amazon_reviews_multi 0.6702 0.064718844015387 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
635 financial_phrasebank 0.859 0.0970412641763687 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
636 tweet_ev_emoji 0.4611 0.1515931893981426 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
637 tweet_ev_emotion 0.8163265306122449 0.0938307126363118 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
638 tweet_ev_hate 0.5265993265993266 0.4660195695593002 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
639 tweet_ev_irony 0.7869897959183674 0.1903745651245117 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
640 tweet_ev_offensive 0.8418604651162791 0.031484063024874 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
641 tweet_ev_sentiment 0.6974926733962878 0.0563613921403884 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
642 mnli 0.8612693246541904 0.0320971476567256 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
643 qnli 0.9271462566355484 0.018764735654343 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
644 rte 0.7545126353790613 0.1253913521766662 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
645 wnli 0.5633802816901409 0.1252343654632568 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
646 esnli 0.9042141693811075 0.0218340146813408 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
647 anli 0.4803125 0.1477061748504638 17 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_158
648 cola 0.8111217641418984 0.085595940098618 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
649 mrpc 0.8799019607843137 0.0780867154781635 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
650 qqp 0.9082859262923572 0.0210658915435211 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
651 stsb 0.3143298778128117 0.8844078404289003 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
652 boolq 0.7874617737003058 0.114692039860105 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
653 cb 0.6964285714285714 0.1113590598106384 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
654 copa 0.46 0.061282068490982 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
655 multirc 0.5707508250825083 0.0609165869261089 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
656 wic 0.700626959247649 0.2315490245819091 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
657 wsc 0.6346153846153846 0.1542514413595199 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
658 ag_news 0.8956666666666667 0.0288641528880342 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
659 isear 0.7144719687092569 0.1721343000729878 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
660 yahoo_answers 0.7096666666666667 0.0849057968626631 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
661 dbpedia 0.759 0.053732415463062 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
662 20_newsgroup 0.8560807222517259 0.0796416169506008 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
663 trec_fine 0.93 0.0704461559653282 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
664 trec_coarse 0.978 0.0191477481275796 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
665 poem_sentiment 0.8942307692307693 0.059730127453804 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
666 imdb 0.92668 0.0356186015526656 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
667 rotten_tomatoes 0.8864915572232646 0.0784557286430807 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
668 sst_5bins 0.5552036199095023 0.0846262114388602 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
669 sst2 0.9357798165137616 0.0177107687507356 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
670 amazon_reviews_multi 0.6696 0.0648413554877992 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
671 financial_phrasebank 0.84 0.1117731034755706 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
672 tweet_ev_emoji 0.45602 0.1675901016362264 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
673 tweet_ev_emotion 0.8191414496833216 0.0849206924438476 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
674 tweet_ev_hate 0.5218855218855218 0.4541145652853032 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
675 tweet_ev_irony 0.7525510204081632 0.1875332318819486 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
676 tweet_ev_offensive 0.8465116279069768 0.0303975873523288 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
677 tweet_ev_sentiment 0.70262129599479 0.0585499505201975 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
678 mnli 0.8606590724165989 0.0323274476187569 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
679 qnli 0.9256818597840014 0.0162579483456081 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
680 rte 0.7184115523465704 0.0649338006973266 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
681 wnli 0.5633802816901409 0.1403180807828903 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
682 esnli 0.9041123778501629 0.0225240927954061 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
683 anli 0.470625 0.1249223899841308 18 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_159
684 cola 0.8197507190795782 0.1058027166308778 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
685 mrpc 0.8700980392156863 0.1116193447794233 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
686 qqp 0.9104377937175364 0.0200281776959383 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
687 stsb 0.4855535385456491 0.8856809218217442 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
688 boolq 0.7932721712538227 0.1412307961473187 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
689 cb 0.875 0.0504625849425792 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
690 copa 0.45 0.098528541624546 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
691 multirc 0.60746699669967 0.0615887955615395 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
692 wic 0.6739811912225705 0.2393401861190796 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
693 wsc 0.4230769230769231 0.0609184578061103 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
694 ag_news 0.8973333333333333 0.027548221831626 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
695 isear 0.711864406779661 0.1734703779220581 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
696 yahoo_answers 0.7153333333333334 0.0901168255095786 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
697 dbpedia 0.762 0.0529050827026367 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
698 20_newsgroup 0.8588688263409453 0.0872485597254866 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
699 trec_fine 0.936 0.0603553056716918 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
700 trec_coarse 0.98 0.0163445603102445 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
701 poem_sentiment 0.8461538461538461 0.0905017256736755 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
702 imdb 0.92692 0.0183085383051801 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
703 rotten_tomatoes 0.8864915572232646 0.0340494548573213 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
704 sst_5bins 0.5497737556561086 0.0882983820778983 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
705 sst2 0.9392201834862384 0.022791679416384 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
706 amazon_reviews_multi 0.667 0.0669668414924718 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
707 financial_phrasebank 0.858 0.0951273739337921 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
708 tweet_ev_emoji 0.4367 0.1692480086059961 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
709 tweet_ev_emotion 0.8219563687543983 0.0709536386572796 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
710 tweet_ev_hate 0.5360269360269361 0.4425983634046329 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
711 tweet_ev_irony 0.7857142857142857 0.1715809015127328 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
712 tweet_ev_offensive 0.8383720930232558 0.0314781687877796 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
713 tweet_ev_sentiment 0.7107619667860632 0.0570299327373504 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
714 mnli 0.86706672091131 0.0298818303393079 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
715 qnli 0.9298920007321984 0.0187901697660747 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
716 rte 0.7075812274368231 0.0504936754703521 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
717 wnli 0.4788732394366197 0.0599630177021026 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
718 esnli 0.9048249185667752 0.0220889486008435 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160
719 anli 0.490625 0.130368423461914 19 /dccstor/fuse/outputs_eladv_pretrain/TrainIterateOverDataset_160