bert-finetuned-ner / metrics.json
Prikshit7766's picture
Upload metrics.json with huggingface_hub
da03c6e verified
[
{
"epoch": 1.0,
"step": 1756,
"eval_loss": 0.07203580439090729,
"overall": {
"precision": 0.8912693298969072,
"recall": 0.931167956916863,
"f1": 0.9107818930041152,
"accuracy": 0.9814269735680226
},
"per_label": {
"LOC": {
"precision": 0.9239187076602398,
"recall": 0.965160587915079,
"f1": 0.9440894568690097,
"number": 1837
},
"MISC": {
"precision": 0.7727272727272727,
"recall": 0.8297180043383948,
"f1": 0.8002092050209204,
"number": 922
},
"ORG": {
"precision": 0.8624823695345557,
"recall": 0.9120059656972409,
"f1": 0.8865530989488946,
"number": 1341
},
"PER": {
"precision": 0.9420520999468368,
"recall": 0.9619978284473398,
"f1": 0.9519204942250873,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.4533,
"samples_per_second": 436.049,
"steps_per_second": 54.607
}
},
{
"epoch": 2.0,
"step": 3512,
"eval_loss": 0.07787470519542694,
"overall": {
"precision": 0.9304723885562209,
"recall": 0.9414338606529788,
"f1": 0.9359210306173666,
"accuracy": 0.9842968152116324
},
"per_label": {
"LOC": {
"precision": 0.9511015583019882,
"recall": 0.9635274904735982,
"f1": 0.9572742022714981,
"number": 1837
},
"MISC": {
"precision": 0.8725910064239829,
"recall": 0.8839479392624728,
"f1": 0.8782327586206896,
"number": 922
},
"ORG": {
"precision": 0.9050822122571002,
"recall": 0.9030574198359433,
"f1": 0.9040686823441583,
"number": 1341
},
"PER": {
"precision": 0.9568919638105375,
"recall": 0.9761129207383279,
"f1": 0.9664068798710024,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.5011,
"samples_per_second": 433.267,
"steps_per_second": 54.258
}
},
{
"epoch": 3.0,
"step": 5268,
"eval_loss": 0.07202505320310593,
"overall": {
"precision": 0.9318106587222774,
"recall": 0.9474924267923258,
"f1": 0.9395861148197597,
"accuracy": 0.9857685288750221
},
"per_label": {
"LOC": {
"precision": 0.9626218851570965,
"recall": 0.9673380511703865,
"f1": 0.9649742058104807,
"number": 1837
},
"MISC": {
"precision": 0.8943355119825708,
"recall": 0.8904555314533622,
"f1": 0.8923913043478261,
"number": 922
},
"ORG": {
"precision": 0.8772791023842917,
"recall": 0.9328859060402684,
"f1": 0.9042284062161186,
"number": 1341
},
"PER": {
"precision": 0.9616630669546437,
"recall": 0.9668838219326819,
"f1": 0.9642663779101246,
"number": 1842
}
},
"runtime": {
"eval_runtime": 6.5043,
"samples_per_second": 499.669,
"steps_per_second": 62.574
}
},
{
"epoch": 4.0,
"step": 7024,
"eval_loss": 0.08569859713315964,
"overall": {
"precision": 0.930635838150289,
"recall": 0.9483338943116796,
"f1": 0.9394015170459282,
"accuracy": 0.9850621063165951
},
"per_label": {
"LOC": {
"precision": 0.9533011272141707,
"recall": 0.9667936853565596,
"f1": 0.96,
"number": 1837
},
"MISC": {
"precision": 0.8623188405797102,
"recall": 0.903470715835141,
"f1": 0.8824152542372882,
"number": 922
},
"ORG": {
"precision": 0.8995664739884393,
"recall": 0.9284116331096197,
"f1": 0.9137614678899083,
"number": 1341
},
"PER": {
"precision": 0.9668838219326819,
"recall": 0.9668838219326819,
"f1": 0.9668838219326819,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.5249,
"samples_per_second": 431.899,
"steps_per_second": 54.087
}
},
{
"epoch": 5.0,
"step": 8780,
"eval_loss": 0.08417785912752151,
"overall": {
"precision": 0.9310686015831134,
"recall": 0.9501851228542578,
"f1": 0.9405297351324339,
"accuracy": 0.9851062577264967
},
"per_label": {
"LOC": {
"precision": 0.9627228525121556,
"recall": 0.9700598802395209,
"f1": 0.9663774403470715,
"number": 1837
},
"MISC": {
"precision": 0.8386454183266933,
"recall": 0.913232104121475,
"f1": 0.8743509865005192,
"number": 922
},
"ORG": {
"precision": 0.9070110701107011,
"recall": 0.9164802386278896,
"f1": 0.9117210682492581,
"number": 1341
},
"PER": {
"precision": 0.9670981661272924,
"recall": 0.9733984799131379,
"f1": 0.9702380952380952,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.5038,
"samples_per_second": 433.114,
"steps_per_second": 54.239
}
},
{
"epoch": 6.0,
"step": 10536,
"eval_loss": 0.09725591540336609,
"overall": {
"precision": 0.9291845493562232,
"recall": 0.9473241332884551,
"f1": 0.9381666666666667,
"accuracy": 0.9844734208512392
},
"per_label": {
"LOC": {
"precision": 0.9546424759871932,
"recall": 0.9738704409363091,
"f1": 0.9641606036108865,
"number": 1837
},
"MISC": {
"precision": 0.858739837398374,
"recall": 0.9164859002169198,
"f1": 0.8866736621196223,
"number": 922
},
"ORG": {
"precision": 0.8921852387843705,
"recall": 0.9194630872483222,
"f1": 0.9056188027910393,
"number": 1341
},
"PER": {
"precision": 0.9691969196919692,
"recall": 0.9565689467969598,
"f1": 0.9628415300546448,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.4822,
"samples_per_second": 434.362,
"steps_per_second": 54.395
}
},
{
"epoch": 7.0,
"step": 12292,
"eval_loss": 0.097112737596035,
"overall": {
"precision": 0.9343584656084656,
"recall": 0.9510265903736116,
"f1": 0.9426188490408675,
"accuracy": 0.9859745687878966
},
"per_label": {
"LOC": {
"precision": 0.9689373297002725,
"recall": 0.9678824169842134,
"f1": 0.968409586056645,
"number": 1837
},
"MISC": {
"precision": 0.8805031446540881,
"recall": 0.911062906724512,
"f1": 0.8955223880597015,
"number": 922
},
"ORG": {
"precision": 0.8851063829787233,
"recall": 0.930648769574944,
"f1": 0.9073064340239914,
"number": 1341
},
"PER": {
"precision": 0.965386695511087,
"recall": 0.9690553745928339,
"f1": 0.967217556217827,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.4789,
"samples_per_second": 434.555,
"steps_per_second": 54.42
}
},
{
"epoch": 8.0,
"step": 14048,
"eval_loss": 0.10294844955205917,
"overall": {
"precision": 0.9285831285831286,
"recall": 0.9540558734432851,
"f1": 0.9411471735701834,
"accuracy": 0.9852387119562018
},
"per_label": {
"LOC": {
"precision": 0.9664864864864865,
"recall": 0.9733260751224823,
"f1": 0.9698942229454841,
"number": 1837
},
"MISC": {
"precision": 0.8497983870967742,
"recall": 0.9143167028199566,
"f1": 0.8808777429467085,
"number": 922
},
"ORG": {
"precision": 0.9019607843137255,
"recall": 0.9261744966442953,
"f1": 0.9139072847682119,
"number": 1341
},
"PER": {
"precision": 0.9522799575821845,
"recall": 0.9750271444082519,
"f1": 0.9635193133047211,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.6218,
"samples_per_second": 426.41,
"steps_per_second": 53.4
}
},
{
"epoch": 9.0,
"step": 15804,
"eval_loss": 0.11473368108272552,
"overall": {
"precision": 0.9368072787427626,
"recall": 0.9530461124200605,
"f1": 0.944856928339034,
"accuracy": 0.9860187201977983
},
"per_label": {
"LOC": {
"precision": 0.9632034632034632,
"recall": 0.9689711486118672,
"f1": 0.966078697421981,
"number": 1837
},
"MISC": {
"precision": 0.8518145161290323,
"recall": 0.9164859002169198,
"f1": 0.8829676071055382,
"number": 922
},
"ORG": {
"precision": 0.9313207547169812,
"recall": 0.9202087994034303,
"f1": 0.9257314328582145,
"number": 1341
},
"PER": {
"precision": 0.9595744680851064,
"recall": 0.9793702497285559,
"f1": 0.969371305749597,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.5249,
"samples_per_second": 431.9,
"steps_per_second": 54.087
}
},
{
"epoch": 10.0,
"step": 17560,
"eval_loss": 0.1184961125254631,
"overall": {
"precision": 0.9358889623265036,
"recall": 0.9532144059239314,
"f1": 0.9444722361180591,
"accuracy": 0.9852681462294696
},
"per_label": {
"LOC": {
"precision": 0.9669197396963124,
"recall": 0.9706042460533478,
"f1": 0.9687584895408857,
"number": 1837
},
"MISC": {
"precision": 0.8826638477801269,
"recall": 0.9056399132321041,
"f1": 0.8940042826552462,
"number": 922
},
"ORG": {
"precision": 0.8961318051575932,
"recall": 0.9328859060402684,
"f1": 0.9141395688710267,
"number": 1341
},
"PER": {
"precision": 0.9619506966773848,
"recall": 0.9744842562432139,
"f1": 0.9681769147788565,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.5803,
"samples_per_second": 428.744,
"steps_per_second": 53.692
}
},
{
"epoch": 11.0,
"step": 19316,
"eval_loss": 0.11947210878133774,
"overall": {
"precision": 0.9384717168375786,
"recall": 0.9548973409626389,
"f1": 0.9466132799466134,
"accuracy": 0.9857685288750221
},
"per_label": {
"LOC": {
"precision": 0.9658906334596643,
"recall": 0.9711486118671747,
"f1": 0.9685124864277959,
"number": 1837
},
"MISC": {
"precision": 0.8954108858057631,
"recall": 0.9099783080260304,
"f1": 0.9026358257127487,
"number": 922
},
"ORG": {
"precision": 0.9075812274368231,
"recall": 0.9373601789709173,
"f1": 0.922230374174615,
"number": 1341
},
"PER": {
"precision": 0.9557805007991476,
"recall": 0.9739413680781759,
"f1": 0.9647754772788384,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.5556,
"samples_per_second": 430.142,
"steps_per_second": 53.867
}
},
{
"epoch": 12.0,
"step": 21072,
"eval_loss": 0.12146918475627899,
"overall": {
"precision": 0.9431799302209669,
"recall": 0.9554022214742511,
"f1": 0.9492517348047823,
"accuracy": 0.9866074056631542
},
"per_label": {
"LOC": {
"precision": 0.971195652173913,
"recall": 0.9727817093086554,
"f1": 0.9719880337231438,
"number": 1837
},
"MISC": {
"precision": 0.9096844396082698,
"recall": 0.9067245119305857,
"f1": 0.9082020640956002,
"number": 922
},
"ORG": {
"precision": 0.9121522693997072,
"recall": 0.9291573452647278,
"f1": 0.9205762837089029,
"number": 1341
},
"PER": {
"precision": 0.9545934530095037,
"recall": 0.9815418023887079,
"f1": 0.9678800856531049,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.7732,
"samples_per_second": 418.106,
"steps_per_second": 52.36
}
},
{
"epoch": 13.0,
"step": 22828,
"eval_loss": 0.12505799531936646,
"overall": {
"precision": 0.9386808087504143,
"recall": 0.9532144059239314,
"f1": 0.9458917835671342,
"accuracy": 0.9860923058809677
},
"per_label": {
"LOC": {
"precision": 0.9675148890092041,
"recall": 0.9727817093086554,
"f1": 0.9701411509229099,
"number": 1837
},
"MISC": {
"precision": 0.8782791185729276,
"recall": 0.9078091106290672,
"f1": 0.8927999999999999,
"number": 922
},
"ORG": {
"precision": 0.9241741741741741,
"recall": 0.9179716629381058,
"f1": 0.9210624766180322,
"number": 1341
},
"PER": {
"precision": 0.9511041009463722,
"recall": 0.9820846905537459,
"f1": 0.9663461538461537,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.5826,
"samples_per_second": 428.613,
"steps_per_second": 53.676
}
},
{
"epoch": 14.0,
"step": 24584,
"eval_loss": 0.12853111326694489,
"overall": {
"precision": 0.9430043203722167,
"recall": 0.9550656344665096,
"f1": 0.9489966555183946,
"accuracy": 0.986342497203744
},
"per_label": {
"LOC": {
"precision": 0.9736986301369863,
"recall": 0.9673380511703865,
"f1": 0.9705079191698526,
"number": 1837
},
"MISC": {
"precision": 0.8892438764643238,
"recall": 0.9056399132321041,
"f1": 0.8973670069854918,
"number": 922
},
"ORG": {
"precision": 0.9200293470286134,
"recall": 0.9351230425055929,
"f1": 0.9275147928994084,
"number": 1341
},
"PER": {
"precision": 0.9566367001586462,
"recall": 0.9820846905537459,
"f1": 0.9691936780069649,
"number": 1842
}
},
"runtime": {
"eval_runtime": 7.5688,
"samples_per_second": 429.396,
"steps_per_second": 53.774
}
},
{
"epoch": 15.0,
"step": 26340,
"eval_loss": 0.1253676861524582,
"overall": {
"precision": 0.938937613767996,
"recall": 0.9548973409626389,
"f1": 0.9468502294534834,
"accuracy": 0.9861364572908695
},
"per_label": {
"LOC": {
"precision": 0.9607948442534908,
"recall": 0.9738704409363091,
"f1": 0.9672884563395511,
"number": 1837
},
"MISC": {
"precision": 0.8742203742203742,
"recall": 0.9121475054229935,
"f1": 0.8927813163481952,
"number": 922
},
"ORG": {
"precision": 0.9322289156626506,
"recall": 0.9231916480238628,
"f1": 0.9276882727613338,
"number": 1341
},
"PER": {
"precision": 0.9550502379693284,
"recall": 0.9804560260586319,
"f1": 0.9675863916421109,
"number": 1842
}
},
"runtime": {
"eval_runtime": 8.6163,
"samples_per_second": 377.191,
"steps_per_second": 47.236
}
},
{
"epoch": 16.0,
"step": 28096,
"eval_loss": 0.12416187673807144,
"overall": {
"precision": 0.9447862963578912,
"recall": 0.9560753954897341,
"f1": 0.9503973232956922,
"accuracy": 0.9866957084829575
},
"per_label": {
"LOC": {
"precision": 0.9680043383947939,
"recall": 0.9716929776810016,
"f1": 0.969845150774246,
"number": 1837
},
"MISC": {
"precision": 0.8954108858057631,
"recall": 0.9099783080260304,
"f1": 0.9026358257127487,
"number": 922
},
"ORG": {
"precision": 0.9301634472511144,
"recall": 0.9336316181953765,
"f1": 0.9318943059173799,
"number": 1341
},
"PER": {
"precision": 0.957051961823966,
"recall": 0.9799131378935939,
"f1": 0.9683476394849786,
"number": 1842
}
},
"runtime": {
"eval_runtime": 8.6628,
"samples_per_second": 375.168,
"steps_per_second": 46.983
}
},
{
"epoch": 17.0,
"step": 29852,
"eval_loss": 0.12274094671010971,
"overall": {
"precision": 0.9438631456568676,
"recall": 0.9564119824974756,
"f1": 0.9500961297333445,
"accuracy": 0.9868428798492965
},
"per_label": {
"LOC": {
"precision": 0.971195652173913,
"recall": 0.9727817093086554,
"f1": 0.9719880337231438,
"number": 1837
},
"MISC": {
"precision": 0.8761609907120743,
"recall": 0.920824295010846,
"f1": 0.8979375991538868,
"number": 922
},
"ORG": {
"precision": 0.9307004470938898,
"recall": 0.9313944817300522,
"f1": 0.9310473350726798,
"number": 1341
},
"PER": {
"precision": 0.9614973262032086,
"recall": 0.9761129207383279,
"f1": 0.9687500000000001,
"number": 1842
}
},
"runtime": {
"eval_runtime": 8.9038,
"samples_per_second": 365.012,
"steps_per_second": 45.711
}
},
{
"epoch": 18.0,
"step": 31608,
"eval_loss": 0.12293359637260437,
"overall": {
"precision": 0.9440199335548173,
"recall": 0.9564119824974756,
"f1": 0.9501755559271025,
"accuracy": 0.9870636368988049
},
"per_label": {
"LOC": {
"precision": 0.9701249321021184,
"recall": 0.9722373434948285,
"f1": 0.9711799891245242,
"number": 1837
},
"MISC": {
"precision": 0.8810020876826722,
"recall": 0.9154013015184381,
"f1": 0.8978723404255319,
"number": 922
},
"ORG": {
"precision": 0.926829268292683,
"recall": 0.9351230425055929,
"f1": 0.9309576837416481,
"number": 1341
},
"PER": {
"precision": 0.9630620985010707,
"recall": 0.9766558089033659,
"f1": 0.969811320754717,
"number": 1842
}
},
"runtime": {
"eval_runtime": 8.7313,
"samples_per_second": 372.226,
"steps_per_second": 46.614
}
},
{
"epoch": 19.0,
"step": 33364,
"eval_loss": 0.12236841022968292,
"overall": {
"precision": 0.944813829787234,
"recall": 0.9565802760013463,
"f1": 0.9506606455929084,
"accuracy": 0.9872255254017779
},
"per_label": {
"LOC": {
"precision": 0.971677559912854,
"recall": 0.9711486118671747,
"f1": 0.9714130138851075,
"number": 1837
},
"MISC": {
"precision": 0.8712667353244078,
"recall": 0.9175704989154013,
"f1": 0.8938193343898574,
"number": 922
},
"ORG": {
"precision": 0.9383458646616541,
"recall": 0.930648769574944,
"f1": 0.9344814676151254,
"number": 1341
},
"PER": {
"precision": 0.961149547631719,
"recall": 0.9804560260586319,
"f1": 0.9707067992475142,
"number": 1842
}
},
"runtime": {
"eval_runtime": 6.5081,
"samples_per_second": 499.381,
"steps_per_second": 62.538
}
},
{
"epoch": 20.0,
"step": 35120,
"eval_loss": 0.12258101999759674,
"overall": {
"precision": 0.9443891102257637,
"recall": 0.9574217435207001,
"f1": 0.9508607721878657,
"accuracy": 0.9872549596750456
},
"per_label": {
"LOC": {
"precision": 0.9727371864776445,
"recall": 0.9711486118671747,
"f1": 0.9719422500681013,
"number": 1837
},
"MISC": {
"precision": 0.8746113989637305,
"recall": 0.9154013015184381,
"f1": 0.8945416004239534,
"number": 922
},
"ORG": {
"precision": 0.9336810730253353,
"recall": 0.9343773303504848,
"f1": 0.9340290719344019,
"number": 1341
},
"PER": {
"precision": 0.960169941582581,
"recall": 0.9815418023887079,
"f1": 0.970738255033557,
"number": 1842
}
},
"runtime": {
"eval_runtime": 6.7405,
"samples_per_second": 482.16,
"steps_per_second": 60.381
}
}
]