| { | |
| "results": { | |
| "assin2_rte": { | |
| "f1_macro,all": 0.3333333333333333, | |
| "acc,all": 0.5, | |
| "alias": "assin2_rte" | |
| }, | |
| "assin2_sts": { | |
| "pearson,all": 0.023587414997509645, | |
| "mse,all": 2.6942320261437915, | |
| "alias": "assin2_sts" | |
| }, | |
| "bluex": { | |
| "acc,all": 0.20166898470097358, | |
| "acc,exam_id__USP_2019": 0.225, | |
| "acc,exam_id__UNICAMP_2018": 0.25925925925925924, | |
| "acc,exam_id__UNICAMP_2020": 0.23636363636363636, | |
| "acc,exam_id__UNICAMP_2023": 0.23255813953488372, | |
| "acc,exam_id__UNICAMP_2024": 0.17777777777777778, | |
| "acc,exam_id__UNICAMP_2019": 0.28, | |
| "acc,exam_id__UNICAMP_2021_2": 0.27450980392156865, | |
| "acc,exam_id__USP_2022": 0.061224489795918366, | |
| "acc,exam_id__USP_2020": 0.17857142857142858, | |
| "acc,exam_id__USP_2018": 0.16666666666666666, | |
| "acc,exam_id__USP_2021": 0.1346153846153846, | |
| "acc,exam_id__USP_2023": 0.13636363636363635, | |
| "acc,exam_id__USP_2024": 0.2682926829268293, | |
| "acc,exam_id__UNICAMP_2021_1": 0.17391304347826086, | |
| "acc,exam_id__UNICAMP_2022": 0.23076923076923078, | |
| "alias": "bluex" | |
| }, | |
| "enem_challenge": { | |
| "alias": "enem", | |
| "acc,all": 0.18124562631210636, | |
| "acc,exam_id__2016_2": 0.1951219512195122, | |
| "acc,exam_id__2016": 0.1652892561983471, | |
| "acc,exam_id__2010": 0.2222222222222222, | |
| "acc,exam_id__2014": 0.14678899082568808, | |
| "acc,exam_id__2023": 0.14074074074074075, | |
| "acc,exam_id__2017": 0.1810344827586207, | |
| "acc,exam_id__2015": 0.16806722689075632, | |
| "acc,exam_id__2012": 0.23275862068965517, | |
| "acc,exam_id__2022": 0.17293233082706766, | |
| "acc,exam_id__2013": 0.1574074074074074, | |
| "acc,exam_id__2009": 0.19130434782608696, | |
| "acc,exam_id__2011": 0.20512820512820512 | |
| }, | |
| "faquad_nli": { | |
| "f1_macro,all": 0.12578616352201258, | |
| "acc,all": 0.2, | |
| "alias": "faquad_nli" | |
| }, | |
| "oab_exams": { | |
| "acc,all": 0.23006833712984054, | |
| "acc,exam_id__2014-13": 0.2375, | |
| "acc,exam_id__2012-07": 0.1375, | |
| "acc,exam_id__2012-09": 0.23376623376623376, | |
| "acc,exam_id__2011-03": 0.24242424242424243, | |
| "acc,exam_id__2012-08": 0.225, | |
| "acc,exam_id__2015-17": 0.24358974358974358, | |
| "acc,exam_id__2014-15": 0.21794871794871795, | |
| "acc,exam_id__2017-24": 0.225, | |
| "acc,exam_id__2015-16": 0.2375, | |
| "acc,exam_id__2017-23": 0.2125, | |
| "acc,exam_id__2011-04": 0.25, | |
| "acc,exam_id__2010-02": 0.24, | |
| "acc,exam_id__2016-19": 0.19230769230769232, | |
| "acc,exam_id__2012-06": 0.2375, | |
| "acc,exam_id__2012-06a": 0.2375, | |
| "acc,exam_id__2013-12": 0.175, | |
| "acc,exam_id__2017-22": 0.25, | |
| "acc,exam_id__2010-01": 0.25882352941176473, | |
| "acc,exam_id__2013-10": 0.2125, | |
| "acc,exam_id__2014-14": 0.2625, | |
| "acc,exam_id__2018-25": 0.2875, | |
| "acc,exam_id__2016-20a": 0.3, | |
| "acc,exam_id__2015-18": 0.25, | |
| "acc,exam_id__2011-05": 0.2375, | |
| "acc,exam_id__2013-11": 0.1625, | |
| "acc,exam_id__2016-20": 0.225, | |
| "acc,exam_id__2016-21": 0.2125, | |
| "alias": "oab_exams" | |
| }, | |
| "sparrow_emotion-2021-cortiz-por": { | |
| "alias": "emotion-2021-cortiz-por", | |
| "f1_macro,all": 0.0, | |
| "acc,all": 0.0 | |
| }, | |
| "sparrow_hate-2019-fortuna-por": { | |
| "alias": "hate-2019-fortuna-por", | |
| "f1_macro,all": 0.47986684591255363, | |
| "acc,all": 0.48 | |
| }, | |
| "sparrow_sentiment-2016-mozetic-por": { | |
| "alias": "sentiment-2016-mozetic-por", | |
| "f1_macro,all": 0.08695652173913043, | |
| "acc,all": 0.15 | |
| }, | |
| "sparrow_sentiment-2018-brum-por": { | |
| "alias": "sentiment-2018-brum-por", | |
| "f1_macro,all": 0.19385342789598106, | |
| "acc,all": 0.41 | |
| } | |
| }, | |
| "configs": { | |
| "assin2_rte": { | |
| "task": "assin2_rte", | |
| "group": [ | |
| "pt_benchmark", | |
| "assin2" | |
| ], | |
| "dataset_path": "assin2", | |
| "test_split": "test", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Premissa: {{premise}}\nHip贸tese: {{hypothesis}}\nPergunta: A hip贸tese pode ser inferida pela premissa?\nResposta:", | |
| "doc_to_target": "{{['N茫o', 'Sim'][entailment_judgment]}}", | |
| "description": "Abaixo cont茅m pares de premissa e hip贸tese, para cada par voc锚 deve julgar se a hip贸tese pode ser inferida a partir da premissa, responda apenas com Sim ou N茫o.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
| 1, | |
| 3251, | |
| 2, | |
| 3252, | |
| 3, | |
| 4, | |
| 5, | |
| 6, | |
| 3253, | |
| 7, | |
| 3254, | |
| 3255, | |
| 3256, | |
| 8, | |
| 9, | |
| 10, | |
| 3257, | |
| 11, | |
| 3258, | |
| 12, | |
| 13, | |
| 14, | |
| 15, | |
| 3259, | |
| 3260, | |
| 3261, | |
| 3262, | |
| 3263, | |
| 16, | |
| 17, | |
| 3264, | |
| 18, | |
| 3265, | |
| 3266, | |
| 3267, | |
| 19, | |
| 20, | |
| 3268, | |
| 3269, | |
| 21, | |
| 3270, | |
| 3271, | |
| 22, | |
| 3272, | |
| 3273, | |
| 23, | |
| 3274, | |
| 24, | |
| 25, | |
| 3275 | |
| ], | |
| "id_column": "sentence_pair_id" | |
| } | |
| }, | |
| "num_fewshot": 15, | |
| "metric_list": [ | |
| { | |
| "metric": "f1_macro", | |
| "aggregation": "f1_macro", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "find_similar_label", | |
| "labels": [ | |
| "Sim", | |
| "N茫o" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "assin2_sts": { | |
| "task": "assin2_sts", | |
| "group": [ | |
| "pt_benchmark", | |
| "assin2" | |
| ], | |
| "dataset_path": "assin2", | |
| "test_split": "test", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Frase 1: {{premise}}\nFrase 2: {{hypothesis}}\nPergunta: Qual o grau de similaridade entre as duas frases de 1,0 a 5,0?\nResposta:", | |
| "doc_to_target": "<function assin2_float_to_pt_str at 0x7f8bf0f71800>", | |
| "description": "Abaixo cont茅m pares de frases, para cada par voc锚 deve julgar o grau de similaridade de 1,0 a 5,0, responda apenas com o n煤mero.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
| 1, | |
| 3251, | |
| 2, | |
| 3252, | |
| 3, | |
| 4, | |
| 5, | |
| 6, | |
| 3253, | |
| 7, | |
| 3254, | |
| 3255, | |
| 3256, | |
| 8, | |
| 9, | |
| 10, | |
| 3257, | |
| 11, | |
| 3258, | |
| 12, | |
| 13, | |
| 14, | |
| 15, | |
| 3259, | |
| 3260, | |
| 3261, | |
| 3262, | |
| 3263, | |
| 16, | |
| 17, | |
| 3264, | |
| 18, | |
| 3265, | |
| 3266, | |
| 3267, | |
| 19, | |
| 20, | |
| 3268, | |
| 3269, | |
| 21, | |
| 3270, | |
| 3271, | |
| 22, | |
| 3272, | |
| 3273, | |
| 23, | |
| 3274, | |
| 24, | |
| 25, | |
| 3275 | |
| ], | |
| "id_column": "sentence_pair_id" | |
| } | |
| }, | |
| "num_fewshot": 15, | |
| "metric_list": [ | |
| { | |
| "metric": "pearson", | |
| "aggregation": "pearsonr", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "mse", | |
| "aggregation": "mean_squared_error", | |
| "higher_is_better": false | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "number_filter", | |
| "type": "float", | |
| "range_min": 1.0, | |
| "range_max": 5.0, | |
| "on_outside_range": "clip", | |
| "fallback": 5.0 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "bluex": { | |
| "task": "bluex", | |
| "group": [ | |
| "pt_benchmark", | |
| "vestibular" | |
| ], | |
| "dataset_path": "eduagarcia-temp/BLUEX_without_images", | |
| "test_split": "train", | |
| "fewshot_split": "train", | |
| "doc_to_text": "<function enem_doc_to_text at 0x7f8bf0f711c0>", | |
| "doc_to_target": "{{answerKey}}", | |
| "description": "As perguntas a seguir s茫o quest玫es de multipla escolha de provas de vestibular de Universidades Brasileiras, reponda apenas com as letras A, B, C, D ou E.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
| "USP_2018_3", | |
| "UNICAMP_2018_2", | |
| "USP_2018_35", | |
| "UNICAMP_2018_16", | |
| "USP_2018_89" | |
| ], | |
| "id_column": "id", | |
| "exclude_from_task": true | |
| } | |
| }, | |
| "num_fewshot": 3, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "normalize_spaces" | |
| }, | |
| { | |
| "function": "remove_accents" | |
| }, | |
| { | |
| "function": "find_choices", | |
| "choices": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D", | |
| "E" | |
| ], | |
| "regex_patterns": [ | |
| "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta[Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b", | |
| "\\b([ABCDE])\\.", | |
| "\\b([ABCDE]) ?[.):-]", | |
| "\\b([ABCDE])$", | |
| "\\b([ABCDE])\\b" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ], | |
| "group_by": { | |
| "column": "exam_id" | |
| } | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "<function enem_doc_to_text at 0x7f8bf0f71440>", | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "enem_challenge": { | |
| "task": "enem_challenge", | |
| "task_alias": "enem", | |
| "group": [ | |
| "pt_benchmark", | |
| "vestibular" | |
| ], | |
| "dataset_path": "eduagarcia/enem_challenge", | |
| "test_split": "train", | |
| "fewshot_split": "train", | |
| "doc_to_text": "<function enem_doc_to_text at 0x7f8bf0f719e0>", | |
| "doc_to_target": "{{answerKey}}", | |
| "description": "As perguntas a seguir s茫o quest玫es de multipla escolha do Exame Nacional do Ensino M茅dio (ENEM), reponda apenas com as letras A, B, C, D ou E.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
| "2022_21", | |
| "2022_88", | |
| "2022_143" | |
| ], | |
| "id_column": "id", | |
| "exclude_from_task": true | |
| } | |
| }, | |
| "num_fewshot": 3, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "normalize_spaces" | |
| }, | |
| { | |
| "function": "remove_accents" | |
| }, | |
| { | |
| "function": "find_choices", | |
| "choices": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D", | |
| "E" | |
| ], | |
| "regex_patterns": [ | |
| "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta[Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b", | |
| "\\b([ABCDE])\\.", | |
| "\\b([ABCDE]) ?[.):-]", | |
| "\\b([ABCDE])$", | |
| "\\b([ABCDE])\\b" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ], | |
| "group_by": { | |
| "column": "exam_id" | |
| } | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "<function enem_doc_to_text at 0x7f8bf0f71c60>", | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "faquad_nli": { | |
| "task": "faquad_nli", | |
| "group": [ | |
| "pt_benchmark" | |
| ], | |
| "dataset_path": "ruanchaves/faquad-nli", | |
| "test_split": "test", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Pergunta: {{question}}\nResposta: {{answer}}\nA resposta satisfaz a pergunta? Sim ou N茫o?", | |
| "doc_to_target": "{{['N茫o', 'Sim'][label]}}", | |
| "description": "Abaixo cont茅m pares de pergunta e reposta, para cada par voc锚 deve julgar resposta responde a pergunta de maneira satisfat贸ria e aparenta estar correta, escreva apenas Sim ou N茫o.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n", | |
| "sampler_config": { | |
| "fewshot_indices": [ | |
| 1893, | |
| 949, | |
| 663, | |
| 105, | |
| 1169, | |
| 2910, | |
| 2227, | |
| 2813, | |
| 974, | |
| 558, | |
| 1503, | |
| 1958, | |
| 2918, | |
| 601, | |
| 1560, | |
| 984, | |
| 2388, | |
| 995, | |
| 2233, | |
| 1982, | |
| 165, | |
| 2788, | |
| 1312, | |
| 2285, | |
| 522, | |
| 1113, | |
| 1670, | |
| 323, | |
| 236, | |
| 1263, | |
| 1562, | |
| 2519, | |
| 1049, | |
| 432, | |
| 1167, | |
| 1394, | |
| 2022, | |
| 2551, | |
| 2194, | |
| 2187, | |
| 2282, | |
| 2816, | |
| 108, | |
| 301, | |
| 1185, | |
| 1315, | |
| 1420, | |
| 2436, | |
| 2322, | |
| 766 | |
| ] | |
| } | |
| }, | |
| "num_fewshot": 15, | |
| "metric_list": [ | |
| { | |
| "metric": "f1_macro", | |
| "aggregation": "f1_macro", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "find_similar_label", | |
| "labels": [ | |
| "Sim", | |
| "N茫o" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "oab_exams": { | |
| "task": "oab_exams", | |
| "group": [ | |
| "legal_benchmark", | |
| "pt_benchmark" | |
| ], | |
| "dataset_path": "eduagarcia/oab_exams", | |
| "test_split": "train", | |
| "fewshot_split": "train", | |
| "doc_to_text": "<function doc_to_text at 0x7f8bf0f70b80>", | |
| "doc_to_target": "{{answerKey}}", | |
| "description": "As perguntas a seguir s茫o quest玫es 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", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
| "2010-01_1", | |
| "2010-01_11", | |
| "2010-01_13", | |
| "2010-01_23", | |
| "2010-01_26", | |
| "2010-01_28", | |
| "2010-01_38", | |
| "2010-01_48", | |
| "2010-01_58", | |
| "2010-01_68", | |
| "2010-01_76", | |
| "2010-01_83", | |
| "2010-01_85", | |
| "2010-01_91", | |
| "2010-01_99" | |
| ], | |
| "id_column": "id", | |
| "exclude_from_task": true | |
| } | |
| }, | |
| "num_fewshot": 3, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "normalize_spaces" | |
| }, | |
| { | |
| "function": "remove_accents" | |
| }, | |
| { | |
| "function": "find_choices", | |
| "choices": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "regex_patterns": [ | |
| "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta[Cc]orreta e|[Oo]pcao):? ([ABCD])\\b", | |
| "\\b([ABCD])\\)", | |
| "\\b([ABCD]) ?[.):-]", | |
| "\\b([ABCD])$", | |
| "\\b([ABCD])\\b" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ], | |
| "group_by": { | |
| "column": "exam_id" | |
| } | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "<function doc_to_text at 0x7f8bf0f70e00>", | |
| "metadata": { | |
| "version": 1.4 | |
| } | |
| }, | |
| "sparrow_emotion-2021-cortiz-por": { | |
| "task": "sparrow_emotion-2021-cortiz-por", | |
| "task_alias": "emotion-2021-cortiz-por", | |
| "group": [ | |
| "pt_benchmark", | |
| "sparrow" | |
| ], | |
| "dataset_path": "UBC-NLP/sparrow", | |
| "dataset_name": "emotion-2021-cortiz-por", | |
| "test_split": "validation", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Texto: {{content}}\nPergunta: Qual a principal emo莽茫o apresentada no texto?\nResposta:", | |
| "doc_to_target": "<function sparrow_emotion_por_trans_label at 0x7f8bf0f71080>", | |
| "description": "Abaixo cont茅m o conte煤do de tweets de usuarios do Twitter em portugu锚s, sua tarefa 茅 extrair qual a principal emo莽茫o dos textos. Responda com apenas uma das seguintes op莽玫es:\n Admira莽茫o, Divers茫o, Raiva, Aborrecimento, Aprova莽茫o, Compaix茫o, Confus茫o, Curiosidade, Desejo, Decep莽茫o, Desaprova莽茫o, Nojo, Vergonha, Inveja, Entusiasmo, Medo, Gratid茫o, Luto, Alegria, Saudade, Amor, Nervosismo, Otimismo, Orgulho, Al铆vio, Remorso, Tristeza ou Surpresa.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 25, | |
| "metric_list": [ | |
| { | |
| "metric": "f1_macro", | |
| "aggregation": "f1_macro", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "find_similar_label", | |
| "labels": [ | |
| "Admira莽茫o", | |
| "Divers茫o", | |
| "Raiva", | |
| "Aborrecimento", | |
| "Aprova莽茫o", | |
| "Compaix茫o", | |
| "Confus茫o", | |
| "Curiosidade", | |
| "Desejo", | |
| "Decep莽茫o", | |
| "Desaprova莽茫o", | |
| "Nojo", | |
| " Vergonha", | |
| "Inveja", | |
| "Entusiasmo", | |
| "Medo", | |
| "Gratid茫o", | |
| "Luto", | |
| "Alegria", | |
| "Saudade", | |
| "Amor", | |
| "Nervosismo", | |
| "Otimismo", | |
| "Orgulho", | |
| "Al铆vio", | |
| "Remorso", | |
| "Tristeza", | |
| "Surpresa" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "limit": 500, | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "sparrow_hate-2019-fortuna-por": { | |
| "task": "sparrow_hate-2019-fortuna-por", | |
| "task_alias": "hate-2019-fortuna-por", | |
| "group": [ | |
| "pt_benchmark", | |
| "sparrow" | |
| ], | |
| "dataset_path": "UBC-NLP/sparrow", | |
| "dataset_name": "hate-2019-fortuna-por", | |
| "test_split": "validation", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Texto: {{content}}\nPergunta: O texto cont茅m discurso de 贸dio?\nResposta:", | |
| "doc_to_target": "{{'Sim' if label == 'Hate' else 'N茫o'}}", | |
| "description": "Abaixo cont茅m o conte煤do de tweets de usuarios do Twitter em portugu锚s, sua tarefa 茅 classificar se o texto contem discurso de 贸dio our n茫o. Responda apenas com Sim ou N茫o.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 25, | |
| "metric_list": [ | |
| { | |
| "metric": "f1_macro", | |
| "aggregation": "f1_macro", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "find_similar_label", | |
| "labels": [ | |
| "Sim", | |
| "N茫o" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "limit": 500, | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "sparrow_sentiment-2016-mozetic-por": { | |
| "task": "sparrow_sentiment-2016-mozetic-por", | |
| "task_alias": "sentiment-2016-mozetic-por", | |
| "group": [ | |
| "pt_benchmark", | |
| "sparrow" | |
| ], | |
| "dataset_path": "UBC-NLP/sparrow", | |
| "dataset_name": "sentiment-2016-mozetic-por", | |
| "test_split": "validation", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Texto: {{content}}\nPergunta: O sentimento do texto 茅 Positivo, Neutro ou Negativo?\nResposta:", | |
| "doc_to_target": "{{'Positivo' if label == 'Positive' else ('Negativo' if label == 'Negative' else 'Neutro')}}", | |
| "description": "Abaixo cont茅m o conte煤do de tweets de usuarios do Twitter em portugu锚s, sua tarefa 茅 classificar se o sentimento do texto 茅 Positivo, Neutro ou Negativo. Responda apenas com uma das op莽玫es.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 25, | |
| "metric_list": [ | |
| { | |
| "metric": "f1_macro", | |
| "aggregation": "f1_macro", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "find_similar_label", | |
| "labels": [ | |
| "Positivo", | |
| "Neutro", | |
| "Negativo" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "limit": 500, | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "sparrow_sentiment-2018-brum-por": { | |
| "task": "sparrow_sentiment-2018-brum-por", | |
| "task_alias": "sentiment-2018-brum-por", | |
| "group": [ | |
| "pt_benchmark", | |
| "sparrow" | |
| ], | |
| "dataset_path": "UBC-NLP/sparrow", | |
| "dataset_name": "sentiment-2018-brum-por", | |
| "test_split": "validation", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Texto: {{content}}\nPergunta: O sentimento do texto 茅 Positivo, Neutro ou Negativo?\nResposta:", | |
| "doc_to_target": "{{'Positivo' if label == 'Positive' else ('Negativo' if label == 'Negative' else 'Neutro')}}", | |
| "description": "Abaixo cont茅m o conte煤do de tweets de usuarios do Twitter em portugu锚s, sua tarefa 茅 classificar se o sentimento do texto 茅 Positivo, Neutro ou Negativo. Responda apenas com uma das op莽玫es.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 25, | |
| "metric_list": [ | |
| { | |
| "metric": "f1_macro", | |
| "aggregation": "f1_macro", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "find_similar_label", | |
| "labels": [ | |
| "Positivo", | |
| "Neutro", | |
| "Negativo" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "limit": 500, | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| } | |
| }, | |
| "versions": { | |
| "assin2_rte": 1.0, | |
| "assin2_sts": 1.0, | |
| "bluex": 1.0, | |
| "enem_challenge": 1.0, | |
| "faquad_nli": 1.0, | |
| "oab_exams": 1.4, | |
| "sparrow_emotion-2021-cortiz-por": 1.0, | |
| "sparrow_hate-2019-fortuna-por": 1.0, | |
| "sparrow_sentiment-2016-mozetic-por": 1.0, | |
| "sparrow_sentiment-2018-brum-por": 1.0 | |
| }, | |
| "n-shot": { | |
| "assin2_rte": 15, | |
| "assin2_sts": 15, | |
| "bluex": 3, | |
| "enem_challenge": 3, | |
| "faquad_nli": 15, | |
| "oab_exams": 3, | |
| "sparrow_emotion-2021-cortiz-por": 25, | |
| "sparrow_hate-2019-fortuna-por": 25, | |
| "sparrow_sentiment-2016-mozetic-por": 25, | |
| "sparrow_sentiment-2018-brum-por": 25 | |
| }, | |
| "model_meta": { | |
| "truncated": 7168, | |
| "non_truncated": 4721, | |
| "padded": 0, | |
| "non_padded": 11889, | |
| "fewshots_truncated": 20319, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "3e8a7225792db123fcba1062204bcf318bf128b5", | |
| "model_dtype": "torch.float16", | |
| "model_memory_footprint": 261468696, | |
| "model_num_parameters": 124442880, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:2", | |
| "batch_size": 128, | |
| "max_length": 1024, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32 | |
| }, | |
| "task_model_meta": { | |
| "assin2_rte": { | |
| "sample_size": 2448, | |
| "truncated": 0, | |
| "non_truncated": 2448, | |
| "padded": 0, | |
| "non_padded": 2448, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 859.2075163398692, | |
| "min_seq_length": 845, | |
| "max_seq_length": 897, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 15.0, | |
| "mean_effective_fewshot_size": 15.0 | |
| }, | |
| "assin2_sts": { | |
| "sample_size": 2448, | |
| "truncated": 2448, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 2448, | |
| "fewshots_truncated": 3348, | |
| "mean_seq_length": 1063.2075163398692, | |
| "min_seq_length": 1049, | |
| "max_seq_length": 1101, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 15.0, | |
| "mean_effective_fewshot_size": 13.632352941176471 | |
| }, | |
| "bluex": { | |
| "sample_size": 719, | |
| "truncated": 677, | |
| "non_truncated": 42, | |
| "padded": 0, | |
| "non_padded": 719, | |
| "fewshots_truncated": 761, | |
| "mean_seq_length": 1230.6369958275382, | |
| "min_seq_length": 950, | |
| "max_seq_length": 1921, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 1.9415855354659248 | |
| }, | |
| "enem_challenge": { | |
| "sample_size": 1429, | |
| "truncated": 1279, | |
| "non_truncated": 150, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 1456, | |
| "mean_seq_length": 1107.7627711686494, | |
| "min_seq_length": 930, | |
| "max_seq_length": 2392, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 1.98110566829951 | |
| }, | |
| "faquad_nli": { | |
| "sample_size": 650, | |
| "truncated": 557, | |
| "non_truncated": 93, | |
| "padded": 0, | |
| "non_padded": 650, | |
| "fewshots_truncated": 571, | |
| "mean_seq_length": 1008.72, | |
| "min_seq_length": 975, | |
| "max_seq_length": 1073, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 15.0, | |
| "mean_effective_fewshot_size": 14.121538461538462 | |
| }, | |
| "oab_exams": { | |
| "sample_size": 2195, | |
| "truncated": 207, | |
| "non_truncated": 1988, | |
| "padded": 0, | |
| "non_padded": 2195, | |
| "fewshots_truncated": 207, | |
| "mean_seq_length": 887.9448747152619, | |
| "min_seq_length": 718, | |
| "max_seq_length": 1161, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.9056947608200456 | |
| }, | |
| "sparrow_emotion-2021-cortiz-por": { | |
| "sample_size": 500, | |
| "truncated": 500, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 4502, | |
| "mean_seq_length": 1403.554, | |
| "min_seq_length": 1386, | |
| "max_seq_length": 1438, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 15.996 | |
| }, | |
| "sparrow_hate-2019-fortuna-por": { | |
| "sample_size": 500, | |
| "truncated": 500, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 3442, | |
| "mean_seq_length": 1331.124, | |
| "min_seq_length": 1312, | |
| "max_seq_length": 1392, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 18.116 | |
| }, | |
| "sparrow_sentiment-2016-mozetic-por": { | |
| "sample_size": 500, | |
| "truncated": 500, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 2529, | |
| "mean_seq_length": 1183.39, | |
| "min_seq_length": 1170, | |
| "max_seq_length": 1218, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 19.942 | |
| }, | |
| "sparrow_sentiment-2018-brum-por": { | |
| "sample_size": 500, | |
| "truncated": 500, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 3503, | |
| "mean_seq_length": 1302.422, | |
| "min_seq_length": 1289, | |
| "max_seq_length": 1335, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 17.994 | |
| } | |
| }, | |
| "config": { | |
| "model": "huggingface", | |
| "model_args": "pretrained=nicholasKluge/Aira-2-portuguese-124M,dtype=float16,device=cuda:2,revision=main,trust_remote_code=True,starting_max_length=4096", | |
| "batch_size": "auto", | |
| "batch_sizes": [], | |
| "device": null, | |
| "use_cache": null, | |
| "limit": [ | |
| null, | |
| null, | |
| null, | |
| null, | |
| null, | |
| null, | |
| 500.0, | |
| 500.0, | |
| 500.0, | |
| 500.0 | |
| ], | |
| "bootstrap_iters": 0, | |
| "gen_kwargs": null | |
| }, | |
| "git_hash": "15f86b5" | |
| } |