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Uploading raw results for stabilityai/stablelm-2-1_6b
Browse files- .gitattributes +5 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_assin2_rte.jsonl +3 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_assin2_sts.jsonl +3 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_bluex.jsonl +3 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_enem_challenge.jsonl +3 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_faquad_nli.jsonl +0 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_oab_exams.jsonl +3 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_sparrow_emotion-2021-cortiz-por.jsonl +0 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_sparrow_hate-2019-fortuna-por.jsonl +0 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_sparrow_sentiment-2016-mozetic-por.jsonl +0 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/pretrained__stabilityai__stablelm-2-1_6b,dtype__bfloat16,device__cuda:2,revision__main,trust_remote_code__True,starting_max_length__4096_sparrow_sentiment-2018-brum-por.jsonl +0 -0
- stabilityai/stablelm-2-1_6b/raw_2024-02-07T02-19-52.381073/results.json +1259 -0
- stabilityai/stablelm-2-1_6b/results_2024-02-07T02-19-52.381073.json +346 -0
.gitattributes
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|
651 |
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"doc_to_target": "{{answerKey}}",
|
652 |
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"description": "As perguntas a seguir são questões de multipla escolha do Exame de Ordem da Ordem dos Advogados do Brasil (OAB), reponda apenas com as letras A, B, C ou D.\n\n",
|
653 |
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"target_delimiter": " ",
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654 |
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"fewshot_delimiter": "\n\n",
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655 |
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"fewshot_config": {
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"sampler": "id_sampler",
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"sampler_config": {
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"id_list": [
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659 |
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"2010-01_1",
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660 |
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"2010-01_11",
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661 |
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"2010-01_13",
|
662 |
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"2010-01_23",
|
663 |
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"2010-01_26",
|
664 |
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"2010-01_28",
|
665 |
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"2010-01_38",
|
666 |
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"2010-01_48",
|
667 |
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"2010-01_58",
|
668 |
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"2010-01_68",
|
669 |
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"2010-01_76",
|
670 |
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"2010-01_83",
|
671 |
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"2010-01_85",
|
672 |
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"2010-01_91",
|
673 |
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"2010-01_99"
|
674 |
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],
|
675 |
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"id_column": "id",
|
676 |
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"exclude_from_task": true
|
677 |
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}
|
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},
|
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"num_fewshot": 3,
|
680 |
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"metric_list": [
|
681 |
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{
|
682 |
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"metric": "acc",
|
683 |
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"aggregation": "acc",
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684 |
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"higher_is_better": true
|
685 |
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}
|
686 |
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],
|
687 |
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"output_type": "generate_until",
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688 |
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689 |
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690 |
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"until": [
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"\n\n"
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]
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},
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"repeats": 1,
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{
|
701 |
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"name": "all",
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702 |
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"filter": [
|
703 |
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{
|
704 |
+
"function": "normalize_spaces"
|
705 |
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},
|
706 |
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{
|
707 |
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"function": "remove_accents"
|
708 |
+
},
|
709 |
+
{
|
710 |
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"function": "find_choices",
|
711 |
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"choices": [
|
712 |
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"A",
|
713 |
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"B",
|
714 |
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"C",
|
715 |
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"D"
|
716 |
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],
|
717 |
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"regex_patterns": [
|
718 |
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"(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta[Cc]orreta e|[Oo]pcao):? ([ABCD])\\b",
|
719 |
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"\\b([ABCD])\\)",
|
720 |
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"\\b([ABCD]) ?[.):-]",
|
721 |
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"\\b([ABCD])$",
|
722 |
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"\\b([ABCD])\\b"
|
723 |
+
]
|
724 |
+
},
|
725 |
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{
|
726 |
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"function": "take_first"
|
727 |
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}
|
728 |
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],
|
729 |
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"group_by": {
|
730 |
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"column": "exam_id"
|
731 |
+
}
|
732 |
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}
|
733 |
+
],
|
734 |
+
"should_decontaminate": true,
|
735 |
+
"doc_to_decontamination_query": "<function doc_to_text at 0x7f8bf0f70e00>",
|
736 |
+
"metadata": {
|
737 |
+
"version": 1.4
|
738 |
+
}
|
739 |
+
},
|
740 |
+
"sparrow_emotion-2021-cortiz-por": {
|
741 |
+
"task": "sparrow_emotion-2021-cortiz-por",
|
742 |
+
"task_alias": "emotion-2021-cortiz-por",
|
743 |
+
"group": [
|
744 |
+
"pt_benchmark",
|
745 |
+
"sparrow"
|
746 |
+
],
|
747 |
+
"dataset_path": "UBC-NLP/sparrow",
|
748 |
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"dataset_name": "emotion-2021-cortiz-por",
|
749 |
+
"test_split": "validation",
|
750 |
+
"fewshot_split": "train",
|
751 |
+
"doc_to_text": "Texto: {{content}}\nPergunta: Qual a principal emoção apresentada no texto?\nResposta:",
|
752 |
+
"doc_to_target": "<function sparrow_emotion_por_trans_label at 0x7f8bf0f71080>",
|
753 |
+
"description": "Abaixo contém o conteúdo de tweets de usuarios do Twitter em português, sua tarefa é extrair qual a principal emoção dos textos. Responda com apenas uma das seguintes opções:\n Admiração, Diversão, Raiva, Aborrecimento, Aprovação, Compaixão, Confusão, Curiosidade, Desejo, Decepção, Desaprovação, Nojo, Vergonha, Inveja, Entusiasmo, Medo, Gratidão, Luto, Alegria, Saudade, Amor, Nervosismo, Otimismo, Orgulho, Alívio, Remorso, Tristeza ou Surpresa.\n\n",
|
754 |
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"target_delimiter": " ",
|
755 |
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"fewshot_delimiter": "\n\n",
|
756 |
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"fewshot_config": {
|
757 |
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"sampler": "first_n"
|
758 |
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},
|
759 |
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"num_fewshot": 25,
|
760 |
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"metric_list": [
|
761 |
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{
|
762 |
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"metric": "f1_macro",
|
763 |
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"aggregation": "f1_macro",
|
764 |
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"higher_is_better": true
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"metric": "acc",
|
768 |
+
"aggregation": "acc",
|
769 |
+
"higher_is_better": true
|
770 |
+
}
|
771 |
+
],
|
772 |
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"output_type": "generate_until",
|
773 |
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"generation_kwargs": {
|
774 |
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"max_gen_toks": 32,
|
775 |
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"do_sample": false,
|
776 |
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"temperature": 0.0,
|
777 |
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"top_k": null,
|
778 |
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"top_p": null,
|
779 |
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"until": [
|
780 |
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"\n\n"
|
781 |
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]
|
782 |
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},
|
783 |
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"repeats": 1,
|
784 |
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"filter_list": [
|
785 |
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{
|
786 |
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"name": "all",
|
787 |
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"filter": [
|
788 |
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{
|
789 |
+
"function": "find_similar_label",
|
790 |
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"labels": [
|
791 |
+
"Admiração",
|
792 |
+
"Diversão",
|
793 |
+
"Raiva",
|
794 |
+
"Aborrecimento",
|
795 |
+
"Aprovação",
|
796 |
+
"Compaixão",
|
797 |
+
"Confusão",
|
798 |
+
"Curiosidade",
|
799 |
+
"Desejo",
|
800 |
+
"Decepção",
|
801 |
+
"Desaprovação",
|
802 |
+
"Nojo",
|
803 |
+
" Vergonha",
|
804 |
+
"Inveja",
|
805 |
+
"Entusiasmo",
|
806 |
+
"Medo",
|
807 |
+
"Gratidão",
|
808 |
+
"Luto",
|
809 |
+
"Alegria",
|
810 |
+
"Saudade",
|
811 |
+
"Amor",
|
812 |
+
"Nervosismo",
|
813 |
+
"Otimismo",
|
814 |
+
"Orgulho",
|
815 |
+
"Alívio",
|
816 |
+
"Remorso",
|
817 |
+
"Tristeza",
|
818 |
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"Surpresa"
|
819 |
+
]
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"function": "take_first"
|
823 |
+
}
|
824 |
+
]
|
825 |
+
}
|
826 |
+
],
|
827 |
+
"should_decontaminate": false,
|
828 |
+
"limit": 500,
|
829 |
+
"metadata": {
|
830 |
+
"version": 1.0
|
831 |
+
}
|
832 |
+
},
|
833 |
+
"sparrow_hate-2019-fortuna-por": {
|
834 |
+
"task": "sparrow_hate-2019-fortuna-por",
|
835 |
+
"task_alias": "hate-2019-fortuna-por",
|
836 |
+
"group": [
|
837 |
+
"pt_benchmark",
|
838 |
+
"sparrow"
|
839 |
+
],
|
840 |
+
"dataset_path": "UBC-NLP/sparrow",
|
841 |
+
"dataset_name": "hate-2019-fortuna-por",
|
842 |
+
"test_split": "validation",
|
843 |
+
"fewshot_split": "train",
|
844 |
+
"doc_to_text": "Texto: {{content}}\nPergunta: O texto contém discurso de ódio?\nResposta:",
|
845 |
+
"doc_to_target": "{{'Sim' if label == 'Hate' else 'Não'}}",
|
846 |
+
"description": "Abaixo contém o conteúdo de tweets de usuarios do Twitter em português, sua tarefa é classificar se o texto contem discurso de ódio our não. Responda apenas com Sim ou Não.\n\n",
|
847 |
+
"target_delimiter": " ",
|
848 |
+
"fewshot_delimiter": "\n\n",
|
849 |
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"fewshot_config": {
|
850 |
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"sampler": "first_n"
|
851 |
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},
|
852 |
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"num_fewshot": 25,
|
853 |
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"metric_list": [
|
854 |
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{
|
855 |
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"metric": "f1_macro",
|
856 |
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"aggregation": "f1_macro",
|
857 |
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"higher_is_better": true
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"metric": "acc",
|
861 |
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"aggregation": "acc",
|
862 |
+
"higher_is_better": true
|
863 |
+
}
|
864 |
+
],
|
865 |
+
"output_type": "generate_until",
|
866 |
+
"generation_kwargs": {
|
867 |
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"max_gen_toks": 32,
|
868 |
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"do_sample": false,
|
869 |
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"temperature": 0.0,
|
870 |
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"top_k": null,
|
871 |
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"top_p": null,
|
872 |
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"until": [
|
873 |
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"\n\n"
|
874 |
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]
|
875 |
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},
|
876 |
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|
877 |
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"filter_list": [
|
878 |
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{
|
879 |
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"name": "all",
|
880 |
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"filter": [
|
881 |
+
{
|
882 |
+
"function": "find_similar_label",
|
883 |
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"labels": [
|
884 |
+
"Sim",
|
885 |
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"Não"
|
886 |
+
]
|
887 |
+
},
|
888 |
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{
|
889 |
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"function": "take_first"
|
890 |
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}
|
891 |
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]
|
892 |
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}
|
893 |
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],
|
894 |
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"should_decontaminate": false,
|
895 |
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"limit": 500,
|
896 |
+
"metadata": {
|
897 |
+
"version": 1.0
|
898 |
+
}
|
899 |
+
},
|
900 |
+
"sparrow_sentiment-2016-mozetic-por": {
|
901 |
+
"task": "sparrow_sentiment-2016-mozetic-por",
|
902 |
+
"task_alias": "sentiment-2016-mozetic-por",
|
903 |
+
"group": [
|
904 |
+
"pt_benchmark",
|
905 |
+
"sparrow"
|
906 |
+
],
|
907 |
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"dataset_path": "UBC-NLP/sparrow",
|
908 |
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"dataset_name": "sentiment-2016-mozetic-por",
|
909 |
+
"test_split": "validation",
|
910 |
+
"fewshot_split": "train",
|
911 |
+
"doc_to_text": "Texto: {{content}}\nPergunta: O sentimento do texto é Positivo, Neutro ou Negativo?\nResposta:",
|
912 |
+
"doc_to_target": "{{'Positivo' if label == 'Positive' else ('Negativo' if label == 'Negative' else 'Neutro')}}",
|
913 |
+
"description": "Abaixo contém o conteúdo de tweets de usuarios do Twitter em português, sua tarefa é classificar se o sentimento do texto é Positivo, Neutro ou Negativo. Responda apenas com uma das opções.\n\n",
|
914 |
+
"target_delimiter": " ",
|
915 |
+
"fewshot_delimiter": "\n\n",
|
916 |
+
"fewshot_config": {
|
917 |
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"sampler": "first_n"
|
918 |
+
},
|
919 |
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"num_fewshot": 25,
|
920 |
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"metric_list": [
|
921 |
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{
|
922 |
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"metric": "f1_macro",
|
923 |
+
"aggregation": "f1_macro",
|
924 |
+
"higher_is_better": true
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"metric": "acc",
|
928 |
+
"aggregation": "acc",
|
929 |
+
"higher_is_better": true
|
930 |
+
}
|
931 |
+
],
|
932 |
+
"output_type": "generate_until",
|
933 |
+
"generation_kwargs": {
|
934 |
+
"max_gen_toks": 32,
|
935 |
+
"do_sample": false,
|
936 |
+
"temperature": 0.0,
|
937 |
+
"top_k": null,
|
938 |
+
"top_p": null,
|
939 |
+
"until": [
|
940 |
+
"\n\n"
|
941 |
+
]
|
942 |
+
},
|
943 |
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"repeats": 1,
|
944 |
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"filter_list": [
|
945 |
+
{
|
946 |
+
"name": "all",
|
947 |
+
"filter": [
|
948 |
+
{
|
949 |
+
"function": "find_similar_label",
|
950 |
+
"labels": [
|
951 |
+
"Positivo",
|
952 |
+
"Neutro",
|
953 |
+
"Negativo"
|
954 |
+
]
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"function": "take_first"
|
958 |
+
}
|
959 |
+
]
|
960 |
+
}
|
961 |
+
],
|
962 |
+
"should_decontaminate": false,
|
963 |
+
"limit": 500,
|
964 |
+
"metadata": {
|
965 |
+
"version": 1.0
|
966 |
+
}
|
967 |
+
},
|
968 |
+
"sparrow_sentiment-2018-brum-por": {
|
969 |
+
"task": "sparrow_sentiment-2018-brum-por",
|
970 |
+
"task_alias": "sentiment-2018-brum-por",
|
971 |
+
"group": [
|
972 |
+
"pt_benchmark",
|
973 |
+
"sparrow"
|
974 |
+
],
|
975 |
+
"dataset_path": "UBC-NLP/sparrow",
|
976 |
+
"dataset_name": "sentiment-2018-brum-por",
|
977 |
+
"test_split": "validation",
|
978 |
+
"fewshot_split": "train",
|
979 |
+
"doc_to_text": "Texto: {{content}}\nPergunta: O sentimento do texto é Positivo, Neutro ou Negativo?\nResposta:",
|
980 |
+
"doc_to_target": "{{'Positivo' if label == 'Positive' else ('Negativo' if label == 'Negative' else 'Neutro')}}",
|
981 |
+
"description": "Abaixo contém o conteúdo de tweets de usuarios do Twitter em português, sua tarefa é classificar se o sentimento do texto é Positivo, Neutro ou Negativo. Responda apenas com uma das opções.\n\n",
|
982 |
+
"target_delimiter": " ",
|
983 |
+
"fewshot_delimiter": "\n\n",
|
984 |
+
"fewshot_config": {
|
985 |
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"sampler": "first_n"
|
986 |
+
},
|
987 |
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|
988 |
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"metric_list": [
|
989 |
+
{
|
990 |
+
"metric": "f1_macro",
|
991 |
+
"aggregation": "f1_macro",
|
992 |
+
"higher_is_better": true
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"metric": "acc",
|
996 |
+
"aggregation": "acc",
|
997 |
+
"higher_is_better": true
|
998 |
+
}
|
999 |
+
],
|
1000 |
+
"output_type": "generate_until",
|
1001 |
+
"generation_kwargs": {
|
1002 |
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"max_gen_toks": 32,
|
1003 |
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"do_sample": false,
|
1004 |
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"temperature": 0.0,
|
1005 |
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|
1006 |
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"top_p": null,
|
1007 |
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"until": [
|
1008 |
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"\n\n"
|
1009 |
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]
|
1010 |
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},
|
1011 |
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|
1012 |
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|
1013 |
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{
|
1014 |
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"name": "all",
|
1015 |
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"filter": [
|
1016 |
+
{
|
1017 |
+
"function": "find_similar_label",
|
1018 |
+
"labels": [
|
1019 |
+
"Positivo",
|
1020 |
+
"Neutro",
|
1021 |
+
"Negativo"
|
1022 |
+
]
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"function": "take_first"
|
1026 |
+
}
|
1027 |
+
]
|
1028 |
+
}
|
1029 |
+
],
|
1030 |
+
"should_decontaminate": false,
|
1031 |
+
"limit": 500,
|
1032 |
+
"metadata": {
|
1033 |
+
"version": 1.0
|
1034 |
+
}
|
1035 |
+
}
|
1036 |
+
},
|
1037 |
+
"versions": {
|
1038 |
+
"assin2_rte": 1.0,
|
1039 |
+
"assin2_sts": 1.0,
|
1040 |
+
"bluex": 1.0,
|
1041 |
+
"enem_challenge": 1.0,
|
1042 |
+
"faquad_nli": 1.0,
|
1043 |
+
"oab_exams": 1.4,
|
1044 |
+
"sparrow_emotion-2021-cortiz-por": 1.0,
|
1045 |
+
"sparrow_hate-2019-fortuna-por": 1.0,
|
1046 |
+
"sparrow_sentiment-2016-mozetic-por": 1.0,
|
1047 |
+
"sparrow_sentiment-2018-brum-por": 1.0
|
1048 |
+
},
|
1049 |
+
"n-shot": {
|
1050 |
+
"assin2_rte": 15,
|
1051 |
+
"assin2_sts": 15,
|
1052 |
+
"bluex": 3,
|
1053 |
+
"enem_challenge": 3,
|
1054 |
+
"faquad_nli": 15,
|
1055 |
+
"oab_exams": 3,
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