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  1. data/train-[EleutherAI@pythia-1b][Setting1][icl][answer.txt].json +14 -0
  2. data/train-[EleutherAI@pythia-1b][Setting2][icl][answer.txt].json +14 -0
  3. data/train-[EleutherAI@pythia-2.8b][Setting1][icl][answer.txt].json +14 -0
  4. data/train-[EleutherAI@pythia-2.8b][Setting2][icl][answer.txt].json +14 -0
  5. data/train-[EleutherAI@pythia-2.8b][Setting3][icl][answer.txt].json +14 -0
  6. data/train-[meta-llama@Meta-Llama-3-8B-Instruct][Setting2][icl][answer.txt].json +14 -0
  7. data/train-[meta-llama@Meta-Llama-3-8B][Setting2][icl][answer.txt].json +14 -0
  8. data/train-[microsoft@Phi-3-mini-4k-instruct][Setting2][icl][answer.txt].json +14 -0
data/train-[EleutherAI@pythia-1b][Setting1][icl][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model name": "EleutherAI@pythia-1b",
3
+ "dataset": "Setting1",
4
+ "method": "icl",
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+ "file name": "answer.txt",
6
+ "submitter": "zhaorui",
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+ "MICRO precision": 0.5385511868981169,
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+ "MICRO recall": 0.2501353237799493,
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+ "MICRO f1": 0.3416076569916738,
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+ "MACRO precision": 0.36385013148523615,
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+ "MACRO recall": 0.15398112838442618,
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+ "MACRO f1": 0.21638729891671737,
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+ "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.3914399584127534,\n \"recall\": 0.26636009904492397,\n \"f1\": 0.3170081392085321,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.7067866516685414,\n \"recall\": 0.19121525664434977,\n \"f1\": 0.30099800399201593,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.45235707121364094,\n \"recall\": 0.20154172718132052,\n \"f1\": 0.27884689697812814,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.7463672391017173,\n \"recall\": 0.368750815820389,\n \"f1\": 0.49362222610518963,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.25,\n \"recall\": 0.05,\n \"f1\": 0.08333333333333334,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5385511868981169,\n \"recall\": 0.2501353237799493,\n \"f1\": 0.3416076569916738,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.36385013148523615,\n \"recall\": 0.15398112838442618,\n \"f1\": 0.21638729891671737,\n \"support\": 35101\n }\n}"
14
+ }
data/train-[EleutherAI@pythia-1b][Setting2][icl][answer.txt].json ADDED
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1
+ {
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+ "model name": "EleutherAI@pythia-1b",
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+ "dataset": "Setting2",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.22947159960392474,
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+ "MICRO recall": 0.1511389373080526,
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+ "MICRO f1": 0.18224452737385438,
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+ "MACRO precision": 0.2461725286425307,
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+ "MACRO recall": 0.1471914623429555,
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+ "MACRO f1": 0.1842288328872183,
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+ "detail result": "{\n \"CONTACT\": {\n \"precision\": 0.11428571428571428,\n \"recall\": 0.003616636528028933,\n \"f1\": 0.007011393514460999,\n \"support\": 1106\n },\n \"AGE\": {\n \"precision\": 0.4815595363540569,\n \"recall\": 0.057067932067932065,\n \"f1\": 0.10204309478620074,\n \"support\": 8008\n },\n \"ID\": {\n \"precision\": 0.4749574105621806,\n \"recall\": 0.6171782762691853,\n \"f1\": 0.5368076503433669,\n \"support\": 6776\n },\n \"LOCATION\": {\n \"precision\": 0.08061344868265828,\n \"recall\": 0.07026162458585627,\n \"f1\": 0.07508240752044927,\n \"support\": 17506\n },\n \"DATE\": {\n \"precision\": 0.45404242237934217,\n \"recall\": 0.14943342776203966,\n \"f1\": 0.22486107939407782,\n \"support\": 29652\n },\n \"NAME\": {\n \"precision\": 0.11774916823376248,\n \"recall\": 0.13278233918764612,\n \"f1\": 0.12481472016355737,\n \"support\": 18391\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.22947159960392474,\n \"recall\": 0.1511389373080526,\n \"f1\": 0.18224452737385438,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2461725286425307,\n \"recall\": 0.1471914623429555,\n \"f1\": 0.1842288328872183,\n \"support\": 84333\n }\n}"
14
+ }
data/train-[EleutherAI@pythia-2.8b][Setting1][icl][answer.txt].json ADDED
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1
+ {
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+ "model name": "EleutherAI@pythia-2.8b",
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+ "dataset": "Setting1",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.5978835978835979,
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+ "MICRO recall": 0.23500754964246032,
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+ "MICRO f1": 0.3373962125240296,
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+ "MACRO precision": 0.3913790245422412,
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+ "MACRO recall": 0.1487511604577508,
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+ "MACRO f1": 0.21557056315777565,
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+ "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.5504544395245864,\n \"recall\": 0.2785048932908855,\n \"f1\": 0.36987159411212034,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.7332621082621082,\n \"recall\": 0.20886589571921282,\n \"f1\": 0.3251223748618348,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.5385248149163696,\n \"recall\": 0.21941682493576137,\n \"f1\": 0.31179552309890457,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.6285229202037351,\n \"recall\": 0.2416133664012531,\n \"f1\": 0.3490477088440505,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.28888888888888886,\n \"recall\": 0.09285714285714286,\n \"f1\": 0.14054054054054055,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5978835978835979,\n \"recall\": 0.23500754964246032,\n \"f1\": 0.3373962125240296,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.3913790245422412,\n \"recall\": 0.1487511604577508,\n \"f1\": 0.21557056315777565,\n \"support\": 35101\n }\n}"
14
+ }
data/train-[EleutherAI@pythia-2.8b][Setting2][icl][answer.txt].json ADDED
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+ {
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+ "model name": "EleutherAI@pythia-2.8b",
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+ "dataset": "Setting2",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.25898794094443817,
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+ "MICRO recall": 0.136245597808687,
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+ "MICRO f1": 0.17855755334193227,
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+ "MACRO precision": 0.24981384433761367,
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+ "MACRO recall": 0.14190242101638853,
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+ "MACRO f1": 0.18099421673431115,
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+ "detail result": "{\n \"NAME\": {\n \"precision\": 0.14414632181129644,\n \"recall\": 0.09727584144418465,\n \"f1\": 0.11616128822803713,\n \"support\": 18391\n },\n \"CONTACT\": {\n \"precision\": 0.017543859649122806,\n \"recall\": 0.0009041591320072332,\n \"f1\": 0.0017196904557179706,\n \"support\": 1106\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"ID\": {\n \"precision\": 0.5102875706894477,\n \"recall\": 0.6258854781582054,\n \"f1\": 0.5622058726055544,\n \"support\": 6776\n },\n \"LOCATION\": {\n \"precision\": 0.09340736575766095,\n \"recall\": 0.0759168285159374,\n \"f1\": 0.08375874456418983,\n \"support\": 17506\n },\n \"DATE\": {\n \"precision\": 0.4265042807186784,\n \"recall\": 0.11928369081343586,\n \"f1\": 0.18642772433785743,\n \"support\": 29652\n },\n \"AGE\": {\n \"precision\": 0.5568075117370892,\n \"recall\": 0.07405094905094906,\n \"f1\": 0.13071751350159816,\n \"support\": 8008\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.25898794094443817,\n \"recall\": 0.136245597808687,\n \"f1\": 0.17855755334193227,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.24981384433761367,\n \"recall\": 0.14190242101638853,\n \"f1\": 0.18099421673431115,\n \"support\": 84333\n }\n}"
14
+ }
data/train-[EleutherAI@pythia-2.8b][Setting3][icl][answer.txt].json ADDED
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1
+ {
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+ "model name": "EleutherAI@pythia-2.8b",
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+ "dataset": "Setting3",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.8838020778675622,
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+ "MICRO recall": 0.5563501238645747,
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+ "MICRO f1": 0.6828492084405976,
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+ "MACRO precision": 0.8181174672646854,
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+ "MACRO recall": 0.5111178489794703,
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+ "MACRO f1": 0.6291654080669206,
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+ "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.5663157894736842,\n \"recall\": 0.1893033075299085,\n \"f1\": 0.28375527426160335,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.876635299518017,\n \"recall\": 0.5562108635503131,\n \"f1\": 0.6805951532430506,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.8899406790357188,\n \"recall\": 0.5103872602243937,\n \"f1\": 0.6487257337381543,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.8936535162950258,\n \"recall\": 0.8026704326614457,\n \"f1\": 0.845722015556307,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.908964316797215,\n \"recall\": 0.5446107316055692,\n \"f1\": 0.6811230312713992,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.8117427772600186,\n \"recall\": 0.42643818849449205,\n \"f1\": 0.5591397849462366,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.7795698924731183,\n \"recall\": 0.5482041587901701,\n \"f1\": 0.6437291897891232,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8838020778675622,\n \"recall\": 0.5563501238645747,\n \"f1\": 0.6828492084405976,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8181174672646854,\n \"recall\": 0.5111178489794703,\n \"f1\": 0.6291654080669206,\n \"support\": 60550\n }\n}"
14
+ }
data/train-[meta-llama@Meta-Llama-3-8B-Instruct][Setting2][icl][answer.txt].json ADDED
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1
+ {
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+ "model name": "meta-llama@Meta-Llama-3-8B-Instruct",
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+ "dataset": "Setting2",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.2836012182986038,
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+ "MICRO recall": 0.2230325021047514,
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+ "MICRO f1": 0.2496963260429458,
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+ "MACRO precision": 0.2817097479977041,
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+ "MACRO recall": 0.16459963613976414,
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+ "MACRO f1": 0.20779003832536255,
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+ "detail result": "{\n \"AGE\": {\n \"precision\": 0.6350958744915747,\n \"recall\": 0.1364885114885115,\n \"f1\": 0.2246890739027649,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.11882324802678786,\n \"recall\": 0.14189420770021707,\n \"f1\": 0.12933795006638724,\n \"support\": 17506\n },\n \"ID\": {\n \"precision\": 0.362962962962963,\n \"recall\": 0.27479338842975204,\n \"f1\": 0.312783470519066,\n \"support\": 6776\n },\n \"DATE\": {\n \"precision\": 0.43561872909698995,\n \"recall\": 0.22841629569674896,\n \"f1\": 0.29969026548672567,\n \"support\": 29652\n },\n \"CONTACT\": {\n \"precision\": 0.1320754716981132,\n \"recall\": 0.012658227848101266,\n \"f1\": 0.023102310231023097,\n \"support\": 1106\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"NAME\": {\n \"precision\": 0.2873919497075002,\n \"recall\": 0.3579468218150182,\n \"f1\": 0.31881250454028137,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.2836012182986038,\n \"recall\": 0.2230325021047514,\n \"f1\": 0.2496963260429458,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2817097479977041,\n \"recall\": 0.16459963613976414,\n \"f1\": 0.20779003832536255,\n \"support\": 84333\n }\n}"
14
+ }
data/train-[meta-llama@Meta-Llama-3-8B][Setting2][icl][answer.txt].json ADDED
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1
+ {
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+ "model name": "meta-llama@Meta-Llama-3-8B",
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+ "dataset": "Setting2",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.29978242361176805,
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+ "MICRO recall": 0.07515444725077965,
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+ "MICRO f1": 0.12018013747333492,
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+ "MACRO precision": 0.2963620643507017,
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+ "MACRO recall": 0.05153405124455167,
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+ "MACRO f1": 0.08780056532139423,
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+ "detail result": "{\n \"AGE\": {\n \"precision\": 0.5902140672782875,\n \"recall\": 0.0241008991008991,\n \"f1\": 0.046310737852429514,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.20618405627198125,\n \"recall\": 0.08037244373357706,\n \"f1\": 0.11565967940813811,\n \"support\": 17506\n },\n \"ID\": {\n \"precision\": 0.38205499276411,\n \"recall\": 0.07792207792207792,\n \"f1\": 0.12944349105172837,\n \"support\": 6776\n },\n \"DATE\": {\n \"precision\": 0.4890259386903682,\n \"recall\": 0.09092135437744503,\n \"f1\": 0.15333428124555668,\n \"support\": 29652\n },\n \"CONTACT\": {\n \"precision\": 0.1935483870967742,\n \"recall\": 0.0054249547920434,\n \"f1\": 0.010554089709762533,\n \"support\": 1106\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"NAME\": {\n \"precision\": 0.2135070083533909,\n \"recall\": 0.08199662878581915,\n \"f1\": 0.118488253319714,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.29978242361176805,\n \"recall\": 0.07515444725077965,\n \"f1\": 0.12018013747333492,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2963620643507017,\n \"recall\": 0.05153405124455167,\n \"f1\": 0.08780056532139423,\n \"support\": 84333\n }\n}"
14
+ }
data/train-[microsoft@Phi-3-mini-4k-instruct][Setting2][icl][answer.txt].json ADDED
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1
+ {
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+ "model name": "microsoft@Phi-3-mini-4k-instruct",
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+ "dataset": "Setting2",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.504576824232624,
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+ "MICRO recall": 0.2072024000094862,
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+ "MICRO f1": 0.2937695437275142,
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+ "MACRO precision": 0.4009231666452163,
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+ "MACRO recall": 0.18964062669948825,
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+ "MACRO f1": 0.2574872399485678,
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+ "detail result": "{\n \"AGE\": {\n \"precision\": 0.6138115990613476,\n \"recall\": 0.22864635364635363,\n \"f1\": 0.33318169411336546,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.3353516534699581,\n \"recall\": 0.12338626756540615,\n \"f1\": 0.18039837975529294,\n \"support\": 17506\n },\n \"ID\": {\n \"precision\": 0.6379661016949153,\n \"recall\": 0.5554899645808736,\n \"f1\": 0.5938781950142,\n \"support\": 6776\n },\n \"DATE\": {\n \"precision\": 0.5213417190775681,\n \"recall\": 0.2096654525832996,\n \"f1\": 0.2990595762079996,\n \"support\": 29652\n },\n \"CONTACT\": {\n \"precision\": 0.11538461538461539,\n \"recall\": 0.0081374321880651,\n \"f1\": 0.015202702702702702,\n \"support\": 1106\n },\n \"PROFESSION\": {\n \"precision\": 0.06051873198847262,\n \"recall\": 0.014512785072563926,\n \"f1\": 0.023411371237458196,\n \"support\": 2894\n },\n \"NAME\": {\n \"precision\": 0.5220877458396369,\n \"recall\": 0.18764613125985535,\n \"f1\": 0.2760689572417103,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.504576824232624,\n \"recall\": 0.2072024000094862,\n \"f1\": 0.2937695437275142,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.4009231666452163,\n \"recall\": 0.18964062669948825,\n \"f1\": 0.2574872399485678,\n \"support\": 84333\n }\n}"
14
+ }