model,rpp,meteor,bleu_1,rouge_l,ews_score,repetition_score,total_repetitions,rap,num_max_output_tokens
Qwen/Qwen2-72B-Instruct,1.00,0.39496912014495184,0.12294894050451377,0.38356294219564346,0.0,0.17122683142100617,0.17122683142100617,0.39207819441096226,0
Qwen/Qwen2-7B-Instruct,1.00,0.3757937058055942,0.11257687997946404,0.36434769925835264,0.0,0.09267431597528684,0.09267431597528684,0.3742941863232811,0
Qwen/Qwen2-7B-Instruct,1.02,0.3768162203335968,0.11553860771639841,0.36918004433175405,0.0,0.08649602824360106,0.08649602824360106,0.37541205840978376,0
Qwen/Qwen2-7B-Instruct,1.04,0.3715147429622351,0.11311605625702598,0.36366814755671606,0.0,0.09267431597528684,0.09267431597528684,0.3700322977098747,0
Qwen/Qwen2-7B-Instruct,1.06,0.3721614566005243,0.10986034422062402,0.36079258503565237,0.0,0.10150044130626655,0.10150044130626655,0.370536326090367,0
Qwen/Qwen2-7B-Instruct,1.08,0.3712966405354824,0.10809530671609749,0.35931016773383284,0.0,0.04766107678729038,0.04766107678729038,0.3705315014283968,0
Qwen/Qwen2-7B-Instruct,1.10,0.3713527017404089,0.10809698094017595,0.3597422068131812,0.0,0.0820829655781112,0.0820829655781112,0.3700389646409943,0
Qwen/Qwen2-7B-Instruct,1.12,0.36820419885143935,0.10505573355971856,0.3585817960835123,0.0,0.22065313327449249,0.22065313327449249,0.3647468909061054,0
Qwen/Qwen2-7B-Instruct,1.14,0.36307746488229864,0.10051614663163566,0.34954090679105765,0.0,0.10944395410414828,0.10944395410414828,0.36136917561198173,0
Qwen/Qwen2-7B-Instruct,1.16,0.36060381551154586,0.09572351387840275,0.3502273949453767,0.0,0.10150044130626655,0.10150044130626655,0.35902915415886316,1
Qwen/Qwen2-7B-Instruct,1.18,0.36078545841521914,0.09571300097111912,0.34428422281617715,0.0,0.0794351279788173,0.0794351279788173,0.35954997493196317,0
Qwen/Qwen2-7B-Instruct,1.20,0.3567548354175595,0.0912485469982839,0.3444198668825326,0.0,0.11032656663724624,0.11032656663724624,0.3550628955088913,1
Qwen/Qwen2-7B-Instruct,1.22,0.3510044718361491,0.08350689777294566,0.3368270419392757,0.0,0.08914386584289496,0.08914386584289496,0.349656784486179,0
Qwen/Qwen2-7B-Instruct,1.24,0.3465600044661264,0.07954262823239741,0.3330694392293648,0.0,0.07413945278022947,0.07413945278022947,0.345451809449638,0
Qwen/Qwen2-7B-Instruct,1.26,0.3435165661403993,0.07858780987337025,0.3300088897852168,0.0,0.11297440423654016,0.11297440423654016,0.34184871767976216,1
Qwen/Qwen2-7B-Instruct,1.28,0.34053363547339577,0.07203840378380885,0.32582095330226524,0.0,0.11120917917034422,0.11120917917034422,0.3389058385010004,2
Qwen/Qwen2-7B-Instruct,1.30,0.33446931317267503,0.062148408497464926,0.32202345280559475,0.00529567519858782,0.14210061782877317,0.147396293027361,0.33235730827665977,6
internlm/internlm2_5-7b-chat-1m,1.00,0.3715346402699926,0.1059772684959813,0.36295516834486563,0.0,5.531332744924978,5.531332744924978,0.31189717866457706,1
internlm/internlm2_5-7b-chat-1m,1.02,0.352901317633597,0.08697903417673139,0.34000866115889206,0.0,0.12444836716681378,0.12444836716681378,0.3510158814935464,0
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.00,0.38168584246814397,0.11518296996672078,0.3701295888657657,0.0,0.19593998234774934,0.19593998234774934,0.37849615305530687,0
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.02,0.381084663579427,0.11434064727385712,0.3694187231105839,0.0,0.21094439541041482,0.21094439541041482,0.37766082408076884,0
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.04,0.38019108433175514,0.11353152954579881,0.3690593230960736,0.0,0.20123565754633715,0.20123565754633715,0.37692959536692827,0
shenzhi-wang/Llama3.1-70B-Chinese-Chat,1.06,0.37862157681270814,0.11220469680226439,0.36854877610676506,0.0,0.20123565754633715,0.20123565754633715,0.37537355194965677,0