model,rpp,comet,meteor,spbleu,bleu_1,rouge_l,ews_score,newline_score,repetition_score,total_repetitions,rr,rrp,perf,rap,translation_completeness,num_max_output_tokens,percentage_of_repeated_entries
Qwen/Qwen2-72B-Instruct,1.00,0.7570170721487987,0.4789208192601603,18.953782447211417,0.1895378244721141,0.4522514493620528,0.07855251544571933,0.07855251544571933,0.06266548984995587,0.1412180052956752,0.0012165820128349403,0.12165820128349403,0.7570170721487987,0.7542575120443845,1.0,0,2.206531332744925
Qwen/Qwen2-72B-Instruct,1.02,0.7573583127909388,0.4796836675632054,19.0137490702917,0.190137490702917,0.4526922175986438,0.0997352162400706,0.0997352162400706,0.07413945278022947,0.17387466902030008,0.0014956534942869072,0.1495653494286907,0.7573583127909388,0.7539651560209267,1.0,0,2.64783759929391
Qwen/Qwen2-72B-Instruct,1.04,0.7574985287458835,0.476362681282195,18.52063321160408,0.1852063321160408,0.4491791286896135,0.08384819064430715,0.08384819064430715,0.08649602824360106,0.1703442188879082,0.0014611139290337722,0.1461113929033772,0.7574985287458835,0.7541830028744213,1.0,0,2.471315092674316
Qwen/Qwen2-72B-Instruct,1.06,0.7563852697268905,0.4679636383950649,17.982473951038504,0.1798247395103851,0.4414302384776113,0.07325684024713151,0.07325684024713151,0.05472197705207414,0.12797881729920565,0.0010829866531231096,0.10829866531231096,0.7563852697268905,0.7539304647132251,1.0,0,2.118270079435128
Qwen/Qwen2-72B-Instruct,1.08,0.7554471646908207,0.4597578197711645,17.067954025424825,0.1706795402542483,0.4319052863160809,0.06354810238305383,0.06354810238305383,0.03795233892321271,0.10150044130626655,0.0008500258703525761,0.0850025870352576,0.7554471646908207,0.7535223528572281,1.0,0,1.853486319505737
Qwen/Qwen2-72B-Instruct,1.10,0.75500979801247,0.4515778511124262,16.22452191616505,0.1622452191616504,0.4244761354058755,0.05736981465136805,0.05736981465136805,0.02824360105913504,0.08561341571050309,0.0007121356728580868,0.07121356728580867,0.75500979801247,0.7533979381889341,1.0,0,1.676963812886143
Qwen/Qwen2-7B-Instruct,1.00,0.7457723188010971,0.442240791493943,14.38814929350883,0.1438814929350883,0.4162759057739747,0.05825242718446602,0.05825242718446602,10.774933804060018,10.833186231244484,0.08396037978493448,8.396037978493448,0.7457723188010971,0.5732565603116205,0.9947043248014121,2,2.294792586054722
Qwen/Qwen2-7B-Instruct,1.02,0.7474082109944966,0.4400998640836595,15.16172261831792,0.1516172261831792,0.4165035906118025,0.05648720211827008,0.05648720211827008,7.036187113857017,7.0926743159752865,0.057428303949803826,5.742830394980382,0.7474082109944966,0.6258943742595823,0.9947043248014121,1,2.294792586054722
Qwen/Qwen2-7B-Instruct,1.04,0.7484377450576842,0.4390136558190875,14.958631815014014,0.1495863181501401,0.4142970757686492,0.0529567519858782,0.0529567519858782,0.10856134157105031,0.1615180935569285,0.001379851157039126,0.1379851157039126,0.7484377450576842,0.745343820078089,0.999117387466902,0,1.853486319505737
Qwen/Qwen2-7B-Instruct,1.06,0.7471614604436078,0.4328321576515084,14.28087386760537,0.1428087386760537,0.4073319764254861,0.06707855251544571,0.06707855251544571,0.11032656663724624,0.17740511915269197,0.0015113918339724791,0.1511391833972479,0.7471614604436078,0.743778816908725,0.9982347749338041,0,2.206531332744925
Qwen/Qwen2-7B-Instruct,1.08,0.7451942060389355,0.423560805217557,13.659683698817108,0.1365968369881711,0.3968597388257214,0.06443071491615181,0.06443071491615181,0.13062665489849956,0.19505736981465135,0.0016449082275183469,0.1644908227518347,0.7451942060389355,0.7415229233479677,1.0,0,2.206531332744925
Qwen/Qwen2-7B-Instruct,1.10,0.7432072967790653,0.4135053136541433,12.922649874705083,0.1292264987470507,0.3878186285063445,0.06707855251544571,0.06707855251544571,0.0997352162400706,0.16681376875551632,0.0013848487290898832,0.1384848729089883,0.7432072967790653,0.7401238817462625,1.0,0,2.030008826125331
internlm/internlm2_5-7b-chat,1.00,0.739699612254078,0.4289996929258777,14.734881589173108,0.1473488158917311,0.4096466800937898,0.05383936451897617,0.05383936451897617,12.606354810238305,12.660194174757281,0.10371655820679682,10.371655820679681,0.739699612254078,0.5325881640465967,1.0,2,2.030008826125331
internlm/internlm2_5-7b-chat,1.02,0.740223803961056,0.4266246904302194,14.583816688798017,0.1458381668879802,0.4071727106228415,0.06266548984995587,0.06266548984995587,9.849073256840247,9.911738746690203,0.0832234063051179,8.32234063051179,0.740223803961056,0.5703659582906754,1.0,1,2.118270079435128
internlm/internlm2_5-7b-chat,1.04,0.7398856264610577,0.4154585167056314,13.534659133050225,0.1353465913305021,0.3968657713589718,0.07237422771403354,0.07237422771403354,6.529567519858782,6.601941747572815,0.05613508442776736,5.613508442776736,0.7398856264610577,0.6221485884888651,1.0,1,2.294792586054722
internlm/internlm2_5-7b-chat,1.06,0.7379362287241489,0.4039588647855378,12.346740971499404,0.1234674097149939,0.3872447044295494,0.06796116504854369,0.06796116504854369,6.533980582524272,6.601941747572815,0.05513987689359035,5.513987689359035,0.7379362287241489,0.6224742543197805,0.999117387466902,1,2.383053839364519
internlm/internlm2_5-7b-chat,1.08,0.7319988705684732,0.3873176839854818,11.075674965706344,0.1107567496570634,0.3724352909668609,0.05207413945278023,0.05207413945278023,9.83495145631068,9.88702559576346,0.07906717392378437,7.906717392378438,0.7319988705684732,0.5717343310562308,0.999117387466902,1,1.941747572815534
internlm/internlm2_5-7b-chat,1.10,0.7295350462119345,0.3769306874386757,10.305163787094209,0.1030516378709421,0.3634496155759507,0.07855251544571933,0.07855251544571933,6.527802294792586,6.606354810238305,0.053004659594657756,5.300465959465775,0.7295350462119345,0.6195690090849183,0.999117387466902,1,2.383053839364519
microsoft/Phi-3.5-mini-instruct,1.00,0.7107840433177544,0.3796831545348129,8.71296896471494,0.0871296896471493,0.3589874395901284,10.670785525154457,10.670785525154457,17.93821712268314,28.6090026478376,0.20225504327262062,20.225504327262062,0.7107840433177544,0.3608526271635592,1.0,6,2.030008826125331
microsoft/Phi-3.5-mini-instruct,1.02,0.7164765837070485,0.3780585837553919,10.291240080163629,0.1029124008016362,0.3546952732427276,3.585172109443954,3.585172109443954,7.1403353927625774,10.725507502206531,0.08530053839296368,8.530053839296368,0.7164765837070485,0.5483240204881398,1.0,2,1.323918799646955
microsoft/Phi-3.5-mini-instruct,1.04,0.7111233387336411,0.3547161333845742,8.966881655527896,0.0896688165552789,0.3300979657678754,3.6125330979699912,3.6125330979699912,0.07325684024713151,3.685789938217123,0.02973427131098516,2.973427131098516,0.7111233387336411,0.6495566110355127,1.0,1,1.412180052956752
microsoft/Phi-3.5-mini-instruct,1.06,0.7024363270136286,0.3298733737040869,7.076233088011138,0.0707623308801113,0.3019513312669543,0.04589585172109444,0.04589585172109444,0.05207413945278023,0.09796999117387467,0.0007571675113745661,0.0757167511374566,0.7024363270136286,0.7008419489376413,1.0,0,1.412180052956752
microsoft/Phi-3.5-mini-instruct,1.08,0.6882111219210848,0.3054541022592767,5.105510599247868,0.0510551059924786,0.2736030007297014,3.3609885260370698,3.3609885260370698,0.06443071491615181,3.4254192409532216,0.023581380370521147,2.3581380370521146,0.6882111219210848,0.6406632969877,1.0,1,3.089143865842895
microsoft/Phi-3.5-mini-instruct,1.10,0.6712992989638161,0.2903831801547132,4.091958857999118,0.0409195885799911,0.251653275009876,0.32215357458075905,0.32215357458075905,0.06531332744924978,0.38746690203000883,0.0023407216247487324,0.23407216247487322,0.6712992989638161,0.6665963500989894,1.0,0,6.443071491615181
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.00,0.7501818982248062,0.4611110508507017,17.87914973742753,0.1787914973742752,0.4340662057009564,0.00706090026478376,0.00706090026478376,0.1262135922330097,0.13327449249779347,0.0011265209898463904,0.11265209898463904,0.7501818982248062,0.7476494662426587,1.0,0,1.853486319505737
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.02,0.7485114382045625,0.4571517219079576,17.436884594979905,0.174368845949799,0.4311385932640979,0.00706090026478376,0.00706090026478376,0.11562224183583407,0.12268314210061783,0.0010382199383043404,0.10382199383043404,0.7485114382045625,0.7461824993322019,1.0,0,1.588702559576346
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.04,0.7500591586357918,0.4560467960364254,17.440173470996626,0.1744017347099662,0.4302844557731285,0.00706090026478376,0.00706090026478376,0.13062665489849956,0.13768755516328332,0.0011593944393659004,0.11593944393659004,0.7500591586357918,0.7474533388920676,1.0,0,1.7652250661959399
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.06,0.748812871571673,0.4520416361219855,16.89523258317781,0.168952325831778,0.4260026774745837,0.00706090026478376,0.00706090026478376,0.0997352162400706,0.10679611650485436,0.0008902491962006224,0.08902491962006225,0.748812871571673,0.7468147612728927,1.0,0,1.500441306266549
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.08,0.7473851635144647,0.4442106511292453,16.16623784482793,0.1616623784482792,0.4195129470585874,0.01059135039717564,0.01059135039717564,0.13062665489849956,0.1412180052956752,0.001176591707969938,0.1176591707969938,0.7473851635144647,0.7447501647073623,1.0,0,1.676963812886143
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.10,0.7465709781131172,0.4379837926138161,15.60172257624066,0.1560172257624066,0.4132562932940978,0.01059135039717564,0.01059135039717564,0.07855251544571933,0.08914386584289496,0.000734476013176936,0.0734476013176936,0.7465709781131172,0.7449271706150111,1.0,0,1.412180052956752
shenzhi-wang/Llama3.1-8B-Chinese-Chat,1.00,0.7426396049131678,0.433632501662176,15.209540658023398,0.1520954065802339,0.4089208235151474,0.00353045013239188,0.00353045013239188,3.901147396293027,3.904677846425419,0.03237065275450547,3.237065275450547,0.7426396049131678,0.6728297734832243,1.0,1,1.853486319505737
shenzhi-wang/Llama3.1-8B-Chinese-Chat,1.02,0.7436477056353469,0.4329054166518245,15.19102241646024,0.1519102241646024,0.4068967964789407,0.0,0.0,3.8905560458958517,3.8905560458958517,0.03219656852361788,3.219656852361788,0.7436477056353469,0.6741068111074712,1.0,1,1.676963812886143
shenzhi-wang/Llama3.1-8B-Chinese-Chat,1.04,0.7440943776351209,0.4320478700956207,15.05135166158296,0.1505135166158296,0.4062008380201262,0.00353045013239188,0.00353045013239188,0.1526919682259488,0.1562224183583407,0.001352332200022921,0.1352332200022921,0.7440943776351209,0.7410796698393737,1.0,0,1.588702559576346
shenzhi-wang/Llama3.1-8B-Chinese-Chat,1.06,0.7426502735395928,0.4275429314912545,14.449130821290163,0.1444913082129016,0.4001409979222783,0.00706090026478376,0.00706090026478376,0.13768755516328332,0.14474845542806708,0.0012399256044637321,0.12399256044637322,0.7426502735395928,0.7398912041420567,1.0,0,1.588702559576346
shenzhi-wang/Llama3.1-8B-Chinese-Chat,1.08,0.7408098006080129,0.4206626658729054,13.933703757385222,0.1393370375738522,0.3964824268676203,0.00353045013239188,0.00353045013239188,0.1297440423654016,0.13327449249779347,0.001134996993385448,0.1134996993385448,0.7408098006080129,0.7382902118097237,1.0,0,1.235657546337158
shenzhi-wang/Llama3.1-8B-Chinese-Chat,1.10,0.7392685912871718,0.4111211240399151,13.303738403756984,0.1330373840375698,0.3870959581563503,0.00353045013239188,0.00353045013239188,0.12180052956751986,0.12533097969991175,0.0010529672171262895,0.10529672171262895,0.7392685912871718,0.7369357726201563,1.0,0,1.500441306266549
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.00,0.7240239171358935,0.4068335357738006,13.565136550617618,0.1356513655061761,0.3866395067055498,0.0529567519858782,0.0529567519858782,0.1209179170344219,0.17387466902030008,0.001578993772192076,0.1578993772192076,0.7240239171358935,0.7205996419729696,1.0,0,2.471315092674316
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.02,0.7263097057327799,0.4064914781094827,13.42987641622816,0.1342987641622816,0.3863697821025159,0.06001765225066196,0.06001765225066196,6.236540158870256,6.296557811120918,0.0541899611084103,5.4189961108410305,0.7263097057327799,0.6145165811709306,1.0,1,2.471315092674316
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.04,0.7276128307708258,0.4054859896994975,13.295092218891954,0.1329509221889195,0.3851203729935697,0.05207413945278023,0.05207413945278023,0.1297440423654016,0.18181818181818182,0.0016533037985858635,0.16533037985858634,0.7276128307708258,0.7240098989116803,1.0,0,2.294792586054722
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.06,0.7276865132383193,0.4014727027723293,13.10860799057166,0.1310860799057166,0.3804952786306688,0.05207413945278023,0.05207413945278023,0.13415710503089143,0.18623124448367168,0.001691057431836761,0.1691057431836761,0.7276865132383193,0.7240010735018495,1.0,0,2.383053839364519
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.08,0.726393195584298,0.3987018836449559,12.850537785783194,0.1285053778578319,0.3788945955746495,0.05648720211827008,0.05648720211827008,0.15357458075904679,0.21006178287731686,0.0018871365478087807,0.18871365478087807,0.726393195584298,0.7222885419382362,1.0,0,2.206531332744925
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat,1.10,0.7244012304511832,0.3932239948456176,12.361161644811926,0.1236116164481192,0.3733413807007665,0.05030891438658429,0.05030891438658429,0.08561341571050309,0.13592233009708737,0.0012217374057913526,0.12217374057913527,0.7244012304511832,0.721749388705754,1.0,0,1.853486319505737