初始化项目，由ModelHub XC社区提供模型

Model: bigscience/bloomz-7b1-p3
Source: Original Platform

evaluation_bloomz-7b1-p3/evaluation_xnlimt/xnli/merged.csv

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+dataset,prompt,metric,value
+xnli_ar,GPT-3 style_armt,accuracy,0.3333333333333333
+xnli_ar,MNLI crowdsource_armt,accuracy,0.42891566265060244
+xnli_ar,can we infer_armt,accuracy,0.3353413654618474
+xnli_ar,guaranteed/possible/impossible_armt,accuracy,0.3755020080321285
+xnli_ar,justified in saying_armt,accuracy,0.3349397590361446
+xnli_ar,median,accuracy,0.3353413654618474
+xnli_es,GPT-3 style_esmt,accuracy,0.5220883534136547
+xnli_es,MNLI crowdsource_esmt,accuracy,0.4847389558232932
+xnli_es,can we infer_esmt,accuracy,0.3333333333333333
+xnli_es,guaranteed/possible/impossible_esmt,accuracy,0.3449799196787149
+xnli_es,justified in saying_esmt,accuracy,0.3333333333333333
+xnli_es,median,accuracy,0.3449799196787149
+xnli_fr,GPT-3 style_frmt,accuracy,0.4791164658634538
+xnli_fr,MNLI crowdsource_frmt,accuracy,0.3333333333333333
+xnli_fr,can we infer_frmt,accuracy,0.42248995983935744
+xnli_fr,guaranteed/possible/impossible_frmt,accuracy,0.41847389558232934
+xnli_fr,justified in saying_frmt,accuracy,0.378714859437751
+xnli_fr,median,accuracy,0.41847389558232934
+xnli_hi,GPT-3 style_himt,accuracy,0.3389558232931727
+xnli_hi,MNLI crowdsource_himt,accuracy,0.3333333333333333
+xnli_hi,can we infer_himt,accuracy,0.3542168674698795
+xnli_hi,guaranteed/possible/impossible_himt,accuracy,0.3353413654618474
+xnli_hi,justified in saying_himt,accuracy,0.39879518072289155
+xnli_hi,median,accuracy,0.3389558232931727
+xnli_sw,GPT-3 style_swmt,accuracy,0.3333333333333333
+xnli_sw,MNLI crowdsource_swmt,accuracy,0.3333333333333333
+xnli_sw,can we infer_swmt,accuracy,0.334136546184739
+xnli_sw,guaranteed/possible/impossible_swmt,accuracy,0.3236947791164659
+xnli_sw,justified in saying_swmt,accuracy,0.3321285140562249
+xnli_sw,median,accuracy,0.3333333333333333
+xnli_ur,GPT-3 style_urmt,accuracy,0.3751004016064257
+xnli_ur,MNLI crowdsource_urmt,accuracy,0.3751004016064257
+xnli_ur,can we infer_urmt,accuracy,0.329718875502008
+xnli_ur,guaranteed/possible/impossible_urmt,accuracy,0.3337349397590361
+xnli_ur,justified in saying_urmt,accuracy,0.3285140562248996
+xnli_ur,median,accuracy,0.3337349397590361
+xnli_vi,GPT-3 style_vimt,accuracy,0.3333333333333333
+xnli_vi,MNLI crowdsource_vimt,accuracy,0.3333333333333333
+xnli_vi,can we infer_vimt,accuracy,0.342570281124498
+xnli_vi,guaranteed/possible/impossible_vimt,accuracy,0.3333333333333333
+xnli_vi,justified in saying_vimt,accuracy,0.3365461847389558
+xnli_vi,median,accuracy,0.3333333333333333
+xnli_zh,GPT-3 style_zhmt,accuracy,0.3606425702811245
+xnli_zh,MNLI crowdsource_zhmt,accuracy,0.39598393574297186
+xnli_zh,can we infer_zhmt,accuracy,0.351004016064257
+xnli_zh,guaranteed/possible/impossible_zhmt,accuracy,0.3473895582329317
+xnli_zh,justified in saying_zhmt,accuracy,0.3409638554216867
+xnli_zh,median,accuracy,0.351004016064257
+multiple,average,multiple,0.348644578313253