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model,rpp,comet,meteor,spbleu,bleu_1,rouge_l,ews_score,repetition_score,total_repetitions,nrr,rap,translation_completeness,num_max_output_tokens
internlm/internlm2_5-7b-chat,1.00,0.7357995069773978,0.4297612514398102,15.060226683930628,0.1506022668393063,0.4097577795330234,0.04942630185348632,9.235657546337158,9.285083848190645,0.9247496423462088,0.6824623187873116,1.0,2
internlm/internlm2_5-7b-chat,1.02,0.7377187550620283,0.4246676977198055,14.728605282752795,0.147286052827528,0.4063246630867048,0.06972639011473963,5.35657546337158,5.4210061782877315,0.953789668507456,0.7044041934116965,1.0,1
internlm/internlm2_5-7b-chat,1.04,0.7371160490183523,0.4173352728374962,13.846403511622256,0.1384640351162226,0.3988121301027288,0.06884377758164166,5.315092674315975,5.383053839364519,0.9549885977018281,0.7046730517422506,1.0,1
internlm/internlm2_5-7b-chat,1.06,0.7338597697698218,0.3997609847704189,12.213374588416173,0.1221337458841617,0.3841365748920261,0.05825242718446602,5.275375110326567,5.332744924977935,0.9561764257893248,0.7023939203825759,1.0,1
internlm/internlm2_5-7b-chat,1.08,0.7318234702626478,0.3881614120395272,11.369735763522288,0.1136973576352228,0.372963223209074,0.06707855251544571,5.283318623124448,5.345101500441306,0.9570359334539392,0.7010472282786626,1.0,1
internlm/internlm2_5-7b-chat,1.10,0.7288648442604431,0.3784182249483568,10.377989030628608,0.103779890306286,0.3618424457502351,0.05207413945278023,5.288614298323036,5.340688437775817,0.957823935317488,0.6987634348896543,1.0,1
microsoft/Phi-3.5-mini-instruct,1.00,0.710605339281136,0.3788926591792472,9.70032874202361,0.097003287420236,0.3556134739443916,5.390997352162401,12.997352162400706,18.368049426301855,0.8624429902835613,0.6192816563968827,1.0,4
microsoft/Phi-3.5-mini-instruct,1.02,0.7150978385770836,0.3741049510326346,9.910633597905436,0.0991063359790543,0.3453160556383774,3.586054721977052,7.001765225066196,10.567519858781994,0.9183516206245184,0.6590312746582365,1.0,2
microsoft/Phi-3.5-mini-instruct,1.04,0.7074641684778791,0.3538698731015666,9.19721270538052,0.0919721270538052,0.3225824135517728,0.05119152691968226,0.05560458958517211,0.10150044130626655,0.9991834532118691,0.7068867266696017,1.0,0
microsoft/Phi-3.5-mini-instruct,1.06,0.6962301708225224,0.3252854575717334,6.967166383106307,0.069671663831063,0.2948764736589108,0.0353045013239188,0.06796116504854369,0.09796999117387467,0.9992538065947363,0.6957108422443861,1.0,0
microsoft/Phi-3.5-mini-instruct,1.08,0.6823413657174107,0.301599095293242,5.452744292893752,0.0545274429289375,0.2726387617958179,0.07678729037952339,0.04766107678729038,0.11297440423654016,0.9991814653050001,0.6817830741574145,1.0,0
microsoft/Phi-3.5-mini-instruct,1.10,0.6717851540206916,0.2885734336603344,4.751039447225815,0.0475103944722581,0.2604284999048123,0.08031774051191527,0.02383053839364519,0.10414827890556046,0.999281171568508,0.6713024292710505,1.0,0
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.00,0.739080294072365,0.4490104515425626,6.7013404492782405,0.0670134044927823,0.4196181637680596,0.36716681376875554,139.80935569285083,140.15798764342455,0.5164419894213406,0.4557063153750335,0.999117387466902,15
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.02,0.743018615750854,0.4514907128972251,8.545954556237808,0.085459545562378,0.4214940415288087,1.0035304501323918,67.00353045013239,67.98852603706973,0.7071153729164131,0.5543722941592363,1.0,6
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.04,0.7432195577780335,0.4517500968367987,10.080425294411064,0.1008042529441106,0.4200973007348334,0.01059135039717564,35.19770520741395,35.18358340688438,0.8244802169835412,0.6235766669370041,1.0,6
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.06,0.7430821573139815,0.4484154407825542,10.37470506193322,0.1037470506193321,0.4160289393328045,1.8005295675198587,26.880847308031775,28.656663724624888,0.8478345432646117,0.6381932626507077,1.0,3
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.08,0.7435937259684909,0.4407733547418294,10.930453247368872,0.1093045324736887,0.4113063412348818,0.09267431597528684,12.007943512797882,12.072374227714034,0.9329421050825354,0.6953650250037441,1.0,3
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.10,0.7427059700687901,0.4358940590119784,11.381344076286156,0.1138134407628615,0.4062980635945339,0.0176522506619594,11.914386584289497,11.905560458958517,0.9312420672746087,0.6933551155892559,1.0,3
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.00,0.7222260562908512,0.4039898602650971,13.461179673541356,0.1346117967354136,0.3819960428004565,0.05736981465136805,5.87378640776699,5.9179170344218885,0.9486112388485238,0.6860492554476049,1.0,1
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.02,0.723643534970515,0.4051102919608809,13.18537912294539,0.1318537912294539,0.3824621732976229,0.06266548984995587,5.840247131509267,5.8914386584289495,0.9486127363429205,0.6873967610154514,1.0,1
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.04,0.7238812581796301,0.4039456988919502,13.314773371306682,0.1331477337130668,0.3813737464821349,0.05736981465136805,5.845542806707855,5.889673433362754,0.948840810819099,0.6877794238881113,1.0,1
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.06,0.7252625281686607,0.4012797167602334,13.19924345265053,0.1319924345265053,0.3798291332004637,0.06266548984995587,5.847308031774051,5.884377758164166,0.9494061847846709,0.6894815110844906,1.0,1
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.08,0.7261167238322592,0.3987395126194482,12.656486100206328,0.1265648610020633,0.376975448872996,0.05648720211827008,5.820829655781112,5.864077669902913,0.9499856972945303,0.6906937144718889,1.0,1
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.10,0.7264630642225547,0.3964859769229444,12.284961706379857,0.1228496170637985,0.3744555065346823,0.04942630185348632,0.09267431597528684,0.12886142983230361,0.9988510902838437,0.7256289030293478,1.0,0
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