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binary_classification_evaluation_augmented-taco-cls_results.csv

@@ -1,2 +1,2 @@
 epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap
--1,-1,0.7291262135922331,0.48100075125694275,0.7469403868930123,0.6675291073738681,0.8477968633308439,0.26185911893844604,0.7784446756664181,0.72903286034354,189.03599548339844,0.7476147433966054,0.6775074328014077,0.8339058999253174,215.74383544921875,0.7756006874908153,0.7296863330843913,8.856854438781738,0.749117558073083,0.6811762548144525,0.8321135175504107,9.92266845703125,0.7757014416282921,0.7282300224047796,33.68499755859375,0.7459866859239338,0.6715485548614639,0.8389843166542196,19.206905364990234,0.7907547509665888
+-1,-1,0.7306945481702763,0.4652096927165985,0.7473313046418393,0.6569107532055818,0.8666168782673637,0.2866453230381012,0.7801188100314004,0.7315160567587752,187.34494018554688,0.747833836708422,0.6700777853361332,0.8460044809559373,214.91278076171875,0.7805890625080201,0.7302837938760269,8.55307388305664,0.7477236877040091,0.6426481247818734,0.8938760268857356,10.465749740600586,0.7799683784974453,0.7311613144137415,33.381195068359375,0.7476383265856951,0.6561019625535754,0.868857356235997,20.38105010986328,0.7769702663369915

binary_classification_evaluation_augmented-taco-mean_results.csv

@@ -1,2 +1,2 @@
 epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap
--1,-1,0.7151045556385363,0.4821374714374542,0.7366632234847221,0.6650622706215029,0.8255414488424198,0.4047052264213562,0.7599870249929216,0.7044809559372666,151.0953826904297,0.7335388153376878,0.6408460529620225,0.8575802837938761,173.28468322753906,0.7527305216792975,0.7038088125466766,7.033679008483887,0.7271594207652066,0.6483024826739188,0.8278566094100075,7.890071868896484,0.7500219385034546,0.7194174757281553,25.014659881591797,0.7426876068238252,0.6535558204211362,0.8599701269604182,18.364337921142578,0.763325340473535
+-1,-1,0.7193054518297237,0.6472142934799194,0.7412990758340434,0.6604765241765943,0.8446601941747572,0.5334547758102417,0.7686179765501484,0.7202203136669156,138.47698974609375,0.7411286388030573,0.6564678766925958,0.8508588498879761,160.63632202148438,0.7673589024879104,0.7190440627333832,6.530817985534668,0.7389089020867815,0.6533891981863055,0.8501867064973861,7.4592695236206055,0.7663698368722488,0.7162061239731142,36.617488861083984,0.7381771703863926,0.6577118495590726,0.841075429424944,30.87836456298828,0.7616237048511586

binary_classification_evaluation_bertweet-cls_results.csv

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 epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap
--1,-1,0.5120985810306199,0.9266897439956665,0.6666749648365052,0.5000093354991691,1.0,0.8145368099212646,0.5230522554221206,0.5129574309185959,77.43867492675781,0.6666832632129254,0.500018671346951,1.0,117.4425048828125,0.5246559193500177,0.5135362210604929,3.549988031387329,0.6666749648365052,0.5000093354991691,1.0,5.485724925994873,0.5249914065612434,0.5062359970126961,79.05482482910156,0.6666832632129254,0.500018671346951,1.0,66.01345825195312,0.5020077201558696
+-1,-1,0.5120985810306199,0.9266896843910217,0.6666749648365052,0.5000093354991691,1.0,0.8145369291305542,0.5230520122680545,0.5129574309185959,77.43870544433594,0.6666832632129254,0.500018671346951,1.0,117.44252014160156,0.5246558308821091,0.5135362210604929,3.549989700317383,0.6666749648365052,0.5000093354991691,1.0,5.485722541809082,0.5249910875661462,0.5062359970126961,79.05482482910156,0.6666832632129254,0.500018671346951,1.0,66.01347351074219,0.5020078893302131

binary_classification_evaluation_bertweet-mean_results.csv

@@ -1,2 +1,2 @@
 epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap
--1,-1,0.606235997012696,0.7620757818222046,0.6671155668611901,0.5007862812640408,0.9988797610156833,0.2958064675331116,0.6323702200745711,0.6153286034353995,72.18702697753906,0.6850335895837661,0.5444897060442585,0.9233756534727409,87.33160400390625,0.6237689464821592,0.6188946975354742,3.8260865211486816,0.6802268387246109,0.5552144341583223,0.8778939507094847,4.539368629455566,0.6216050236505599,0.5073562359970127,15.957331657409668,0.6667997405060133,0.5006744604316546,0.9979088872292756,9.347114562988281,0.5036378198987528
+-1,-1,0.606235997012696,0.7620757818222046,0.6671155668611901,0.5007862812640408,0.9988797610156833,0.29580673575401306,0.632370314149275,0.6153286034353995,72.1870346069336,0.6850335895837661,0.5444897060442585,0.9233756534727409,87.33160400390625,0.6237689031918388,0.6188946975354742,3.8260860443115234,0.6802268387246109,0.5552144341583223,0.8778939507094847,4.53936767578125,0.6216050518536437,0.5073562359970127,15.9573335647583,0.6667997405060133,0.5006744604316546,0.9979088872292756,9.347118377685547,0.5036378508115662

binary_classification_evaluation_wrapresentations-cls_results.csv

@@ -1,2 +1,2 @@
 epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap
--1,-1,0.706572068707991,0.8067178726196289,0.737768413224677,0.6304612614520998,0.8890963405526512,0.6855535507202148,0.7590287089584331,0.7081404032860343,123.10991668701172,0.7419977352833289,0.647587762033351,0.8686333084391337,144.03335571289062,0.7576467853896455,0.704798356982823,5.606583595275879,0.732452934392411,0.6481902078601616,0.8418969380134429,6.797209739685059,0.7537064663424923,0.7098020911127707,64.41665649414062,0.7416985389428539,0.6489680472709961,0.8653472740851381,61.430320739746094,0.7435509234541764
+-1,-1,0.706572068707991,0.806718111038208,0.737768413224677,0.6304612614520998,0.8890963405526512,0.6855534315109253,0.7590285694767935,0.7081404032860343,123.10990142822266,0.7419977352833289,0.647587762033351,0.8686333084391337,144.03338623046875,0.7576467247709231,0.704798356982823,5.606583118438721,0.732452934392411,0.6481902078601616,0.8418969380134429,6.797186374664307,0.7537064773848577,0.7098020911127707,64.41667175292969,0.7416985389428539,0.6489680472709961,0.8653472740851381,61.43033981323242,0.7435510473696085

binary_classification_evaluation_wrapresentations-mean_results.csv

@@ -1,2 +1,2 @@
 epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap
--1,-1,0.7131814787154593,0.7389853596687317,0.7407480541705748,0.6621752816922126,0.8404779686333085,0.6548119783401489,0.764091778672824,0.7105675877520538,107.62962341308594,0.7439052101931505,0.6579385587137525,0.8557132188200149,159.9492950439453,0.7620238128848309,0.7092233009708738,7.132084846496582,0.7394660662592474,0.6494350282485876,0.8584764749813294,8.149255752563477,0.7595757373512098,0.7085324869305452,58.264991760253906,0.7354351731298515,0.6582293418296604,0.8331590739357729,52.61748123168945,0.7348401157602552
+-1,-1,0.7131814787154593,0.7389853000640869,0.7407480541705748,0.6621752816922126,0.8404779686333085,0.6548128128051758,0.7640917229450654,0.7105675877520538,107.62956237792969,0.7439052101931505,0.6579385587137525,0.8557132188200149,159.94931030273438,0.7620235114890521,0.7092233009708738,7.132083892822266,0.7394660662592474,0.6494350282485876,0.8584764749813294,8.149261474609375,0.7595757877925866,0.7085324869305452,58.26499938964844,0.7354351731298515,0.6582293418296604,0.8331590739357729,52.61748504638672,0.7348401521906895