eduagarcia's picture
Uploading raw results for Nos-PT/Carvalho_pt-gl-1.3B
0eaa7f7 verified
{
"results": {
"assin2_rte": {
"f1_macro,all": 0.36743639380530974,
"acc,all": 0.511437908496732,
"alias": "assin2_rte"
},
"assin2_sts": {
"pearson,all": 0.13874308801011379,
"mse,all": 2.091850490196079,
"alias": "assin2_sts"
},
"bluex": {
"acc,all": 0.19193324061196107,
"acc,exam_id__UNICAMP_2018": 0.2037037037037037,
"acc,exam_id__USP_2018": 0.12962962962962962,
"acc,exam_id__USP_2021": 0.19230769230769232,
"acc,exam_id__UNICAMP_2024": 0.17777777777777778,
"acc,exam_id__USP_2022": 0.1836734693877551,
"acc,exam_id__UNICAMP_2021_1": 0.30434782608695654,
"acc,exam_id__UNICAMP_2022": 0.2564102564102564,
"acc,exam_id__USP_2019": 0.25,
"acc,exam_id__USP_2024": 0.12195121951219512,
"acc,exam_id__UNICAMP_2023": 0.32558139534883723,
"acc,exam_id__USP_2020": 0.19642857142857142,
"acc,exam_id__USP_2023": 0.11363636363636363,
"acc,exam_id__UNICAMP_2019": 0.16,
"acc,exam_id__UNICAMP_2020": 0.16363636363636364,
"acc,exam_id__UNICAMP_2021_2": 0.13725490196078433,
"alias": "bluex"
},
"enem_challenge": {
"alias": "enem",
"acc,all": 0.18264520643806859,
"acc,exam_id__2015": 0.14285714285714285,
"acc,exam_id__2023": 0.2074074074074074,
"acc,exam_id__2010": 0.17094017094017094,
"acc,exam_id__2012": 0.1810344827586207,
"acc,exam_id__2013": 0.1574074074074074,
"acc,exam_id__2011": 0.18803418803418803,
"acc,exam_id__2016": 0.19008264462809918,
"acc,exam_id__2017": 0.20689655172413793,
"acc,exam_id__2014": 0.1926605504587156,
"acc,exam_id__2016_2": 0.2032520325203252,
"acc,exam_id__2009": 0.16521739130434782,
"acc,exam_id__2022": 0.18045112781954886
},
"faquad_nli": {
"f1_macro,all": 0.4396551724137931,
"acc,all": 0.7846153846153846,
"alias": "faquad_nli"
},
"hatebr_offensive": {
"alias": "hatebr_offensive_binary",
"f1_macro,all": 0.39197789682567186,
"acc,all": 0.46285714285714286
},
"oab_exams": {
"acc,all": 0.22414578587699316,
"acc,exam_id__2015-16": 0.3,
"acc,exam_id__2013-12": 0.3,
"acc,exam_id__2014-13": 0.1625,
"acc,exam_id__2010-02": 0.25,
"acc,exam_id__2014-15": 0.15384615384615385,
"acc,exam_id__2016-19": 0.1794871794871795,
"acc,exam_id__2015-17": 0.20512820512820512,
"acc,exam_id__2010-01": 0.3058823529411765,
"acc,exam_id__2012-06": 0.225,
"acc,exam_id__2012-07": 0.1875,
"acc,exam_id__2017-23": 0.2,
"acc,exam_id__2015-18": 0.175,
"acc,exam_id__2017-24": 0.225,
"acc,exam_id__2018-25": 0.25,
"acc,exam_id__2012-08": 0.25,
"acc,exam_id__2016-20a": 0.225,
"acc,exam_id__2013-11": 0.2,
"acc,exam_id__2011-04": 0.3,
"acc,exam_id__2016-20": 0.1625,
"acc,exam_id__2011-05": 0.2625,
"acc,exam_id__2017-22": 0.2375,
"acc,exam_id__2012-09": 0.24675324675324675,
"acc,exam_id__2014-14": 0.2375,
"acc,exam_id__2012-06a": 0.2125,
"acc,exam_id__2013-10": 0.2,
"acc,exam_id__2016-21": 0.2,
"acc,exam_id__2011-03": 0.1919191919191919,
"alias": "oab_exams"
},
"portuguese_hate_speech": {
"alias": "portuguese_hate_speech_binary",
"f1_macro,all": 0.4869162826420891,
"acc,all": 0.6310223266745005
},
"tweetsentbr": {
"f1_macro,all": 0.25698275226156037,
"acc,all": 0.3029850746268657,
"alias": "tweetsentbr"
}
},
"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? Sim ou N茫o?\nResposta:",
"doc_to_target": "{{['N茫o', 'Sim'][entailment_judgment]}}",
"description": "Abaixo est茫o pares de premissa e hip贸tese. Para cada par, indique 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": 1.1
}
},
"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: Qu茫o similares s茫o as duas frases? D锚 uma pontua莽茫o entre 1,0 a 5,0.\nResposta:",
"doc_to_target": "<function assin2_float_to_pt_str at 0x7efe4281b6a0>",
"description": "Abaixo est茫o pares de frases que voc锚 deve avaliar o grau de similaridade. D锚 uma pontua莽茫o entre 1,0 e 5,0, sendo 1,0 pouco similar e 5,0 muito similar.\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": 1.1
}
},
"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 0x7efe4281b060>",
"doc_to_target": "{{answerKey}}",
"description": "As perguntas a seguir s茫o quest玫es de m煤ltipla escolha de provas de vestibular de universidades brasileiras, selecione a 煤nica alternativa correta e responda 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])$",
"\\b([ABCDE])\\b"
]
},
{
"function": "take_first"
}
],
"group_by": {
"column": "exam_id"
}
}
],
"should_decontaminate": true,
"doc_to_decontamination_query": "<function enem_doc_to_text at 0x7efe4281b2e0>",
"metadata": {
"version": 1.1
}
},
"enem_challenge": {
"task": "enem_challenge",
"task_alias": "enem",
"group": [
"pt_benchmark",
"vestibular"
],
"dataset_path": "eduagarcia/enem_challenge",
"test_split": "train",
"fewshot_split": "train",
"doc_to_text": "<function enem_doc_to_text at 0x7efe4281b880>",
"doc_to_target": "{{answerKey}}",
"description": "As perguntas a seguir s茫o quest玫es de m煤ltipla escolha do Exame Nacional do Ensino M茅dio (ENEM), selecione a 煤nica alternativa correta e responda apenas com as letras \"A\", \"B\", \"C\", \"D\" ou \"E\".\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "id_sampler",
"sampler_config": {
"id_list": [
"2022_21",
"2022_88",
"2022_143"
],
"id_column": "id",
"exclude_from_task": true
}
},
"num_fewshot": 3,
"metric_list": [
{
"metric": "acc",
"aggregation": "acc",
"higher_is_better": true
}
],
"output_type": "generate_until",
"generation_kwargs": {
"max_gen_toks": 32,
"do_sample": false,
"temperature": 0.0,
"top_k": null,
"top_p": null,
"until": [
"\n\n"
]
},
"repeats": 1,
"filter_list": [
{
"name": "all",
"filter": [
{
"function": "normalize_spaces"
},
{
"function": "remove_accents"
},
{
"function": "find_choices",
"choices": [
"A",
"B",
"C",
"D",
"E"
],
"regex_patterns": [
"(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta [Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b",
"\\b([ABCDE])\\.",
"\\b([ABCDE]) ?[.):-]",
"\\b([ABCDE])$",
"\\b([ABCDE])\\b"
]
},
{
"function": "take_first"
}
],
"group_by": {
"column": "exam_id"
}
}
],
"should_decontaminate": true,
"doc_to_decontamination_query": "<function enem_doc_to_text at 0x7efe4281bb00>",
"metadata": {
"version": 1.1
}
},
"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 dada satisfaz 脿 pergunta? Sim ou N茫o?",
"doc_to_target": "{{['N茫o', 'Sim'][label]}}",
"description": "Abaixo est茫o pares de pergunta e resposta. Para cada par, voc锚 deve julgar se a resposta responde 脿 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": 1.1
}
},
"hatebr_offensive": {
"task": "hatebr_offensive",
"task_alias": "hatebr_offensive_binary",
"group": [
"pt_benchmark"
],
"dataset_path": "eduagarcia/portuguese_benchmark",
"dataset_name": "HateBR_offensive_binary",
"test_split": "test",
"fewshot_split": "train",
"doc_to_text": "Texto: {{sentence}}\nPergunta: O texto 茅 ofensivo?\nResposta:",
"doc_to_target": "{{'Sim' if label == 1 else 'N茫o'}}",
"description": "Abaixo cont茅m o texto de coment谩rios de usu谩rios do Instagram em portugu锚s, sua tarefa 茅 classificar se o texto 茅 ofensivo ou n茫o. 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": [
48,
44,
36,
20,
3511,
88,
3555,
16,
56,
3535,
60,
40,
3527,
4,
76,
3579,
3523,
3551,
68,
3503,
84,
3539,
64,
3599,
80,
3563,
3559,
3543,
3547,
3587,
3595,
3575,
3567,
3591,
24,
96,
92,
3507,
52,
72,
8,
3571,
3515,
3519,
3531,
28,
32,
0,
12,
3583
],
"id_column": "idx"
}
},
"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,
"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 0x7efe4281aa20>",
"doc_to_target": "{{answerKey}}",
"description": "As perguntas a seguir s茫o quest玫es de m煤ltipla escolha do Exame de Ordem da Ordem dos Advogados do Brasil (OAB), selecione a 煤nica alternativa correta e responda 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 0x7efe4281aca0>",
"metadata": {
"version": 1.5
}
},
"portuguese_hate_speech": {
"task": "portuguese_hate_speech",
"task_alias": "portuguese_hate_speech_binary",
"group": [
"pt_benchmark"
],
"dataset_path": "eduagarcia/portuguese_benchmark",
"dataset_name": "Portuguese_Hate_Speech_binary",
"test_split": "test",
"fewshot_split": "train",
"doc_to_text": "Texto: {{sentence}}\nPergunta: O texto cont茅m discurso de 贸dio?\nResposta:",
"doc_to_target": "{{'Sim' if label == 1 else 'N茫o'}}",
"description": "Abaixo cont茅m o texto de tweets de usu谩rios do Twitter em portugu锚s, sua tarefa 茅 classificar se o texto cont茅m discurso de 贸dio ou n茫o. 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": [
52,
50,
39,
28,
3,
105,
22,
25,
60,
11,
66,
41,
9,
4,
91,
42,
7,
20,
76,
1,
104,
13,
67,
54,
97,
27,
24,
14,
16,
48,
53,
40,
34,
49,
32,
119,
114,
2,
58,
83,
18,
36,
5,
6,
10,
35,
38,
0,
21,
46
],
"id_column": "idx"
}
},
"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,
"metadata": {
"version": 1.0
}
},
"tweetsentbr": {
"task": "tweetsentbr",
"group": [
"pt_benchmark"
],
"dataset_path": "eduagarcia/tweetsentbr_fewshot",
"test_split": "test",
"fewshot_split": "train",
"doc_to_text": "Texto: {{sentence}}\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 texto de tweets de usu谩rios 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,
"metadata": {
"version": 1.0
}
}
},
"versions": {
"assin2_rte": 1.1,
"assin2_sts": 1.1,
"bluex": 1.1,
"enem_challenge": 1.1,
"faquad_nli": 1.1,
"hatebr_offensive": 1.0,
"oab_exams": 1.5,
"portuguese_hate_speech": 1.0,
"tweetsentbr": 1.0
},
"n-shot": {
"assin2_rte": 15,
"assin2_sts": 15,
"bluex": 3,
"enem_challenge": 3,
"faquad_nli": 15,
"hatebr_offensive": 25,
"oab_exams": 3,
"portuguese_hate_speech": 25,
"tweetsentbr": 25
},
"model_meta": {
"truncated": 3,
"non_truncated": 14147,
"padded": 0,
"non_padded": 14150,
"fewshots_truncated": 5,
"has_chat_template": false,
"chat_type": null,
"n_gpus": 1,
"accelerate_num_process": null,
"model_sha": "7bdce58eaabdd4ab2ffb8fc2e3a441c3666c8df5",
"model_dtype": "torch.float16",
"model_memory_footprint": 2732109872,
"model_num_parameters": 1315723264,
"model_is_loaded_in_4bit": null,
"model_is_loaded_in_8bit": null,
"model_is_quantized": null,
"model_device": "cuda:0",
"batch_size": 32,
"max_length": 2048,
"max_ctx_length": 2016,
"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": 996.655637254902,
"min_seq_length": 981,
"max_seq_length": 1038,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 15.0,
"mean_effective_fewshot_size": 15.0
},
"assin2_sts": {
"sample_size": 2448,
"truncated": 0,
"non_truncated": 2448,
"padded": 0,
"non_padded": 2448,
"fewshots_truncated": 0,
"mean_seq_length": 1143.6556372549019,
"min_seq_length": 1128,
"max_seq_length": 1185,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 15.0,
"mean_effective_fewshot_size": 15.0
},
"bluex": {
"sample_size": 719,
"truncated": 1,
"non_truncated": 718,
"padded": 0,
"non_padded": 719,
"fewshots_truncated": 1,
"mean_seq_length": 1324.7927677329624,
"min_seq_length": 1037,
"max_seq_length": 2017,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 3.0,
"mean_effective_fewshot_size": 2.998609179415855
},
"enem_challenge": {
"sample_size": 1429,
"truncated": 2,
"non_truncated": 1427,
"padded": 0,
"non_padded": 1429,
"fewshots_truncated": 4,
"mean_seq_length": 1123.3226032190344,
"min_seq_length": 944,
"max_seq_length": 2558,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 3.0,
"mean_effective_fewshot_size": 2.9972008397480754
},
"faquad_nli": {
"sample_size": 650,
"truncated": 0,
"non_truncated": 650,
"padded": 0,
"non_padded": 650,
"fewshots_truncated": 0,
"mean_seq_length": 1065.5246153846153,
"min_seq_length": 1031,
"max_seq_length": 1139,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 15.0,
"mean_effective_fewshot_size": 15.0
},
"hatebr_offensive": {
"sample_size": 1400,
"truncated": 0,
"non_truncated": 1400,
"padded": 0,
"non_padded": 1400,
"fewshots_truncated": 0,
"mean_seq_length": 981.6564285714286,
"min_seq_length": 964,
"max_seq_length": 1161,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 25.0,
"mean_effective_fewshot_size": 25.0
},
"oab_exams": {
"sample_size": 2195,
"truncated": 0,
"non_truncated": 2195,
"padded": 0,
"non_padded": 2195,
"fewshots_truncated": 0,
"mean_seq_length": 897.0127562642369,
"min_seq_length": 725,
"max_seq_length": 1172,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 3.0,
"mean_effective_fewshot_size": 3.0
},
"portuguese_hate_speech": {
"sample_size": 851,
"truncated": 0,
"non_truncated": 851,
"padded": 0,
"non_padded": 851,
"fewshots_truncated": 0,
"mean_seq_length": 1330.6368977673326,
"min_seq_length": 1303,
"max_seq_length": 1364,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 25.0,
"mean_effective_fewshot_size": 25.0
},
"tweetsentbr": {
"sample_size": 2010,
"truncated": 0,
"non_truncated": 2010,
"padded": 0,
"non_padded": 2010,
"fewshots_truncated": 0,
"mean_seq_length": 1274.8731343283582,
"min_seq_length": 1258,
"max_seq_length": 1333,
"max_ctx_length": 2016,
"max_gen_toks": 32,
"mean_original_fewshots_size": 25.0,
"mean_effective_fewshot_size": 25.0
}
},
"config": {
"model": "huggingface",
"model_args": "pretrained=Nos-PT/Carvalho_pt-gl-1.3B,dtype=float16,device=cuda:0,revision=main,trust_remote_code=True,starting_max_length=2560",
"batch_size": "auto",
"batch_sizes": [],
"device": null,
"use_cache": null,
"limit": [
null,
null,
null,
null,
null,
null,
null,
null,
null
],
"bootstrap_iters": 0,
"gen_kwargs": null
},
"git_hash": "5a13f3e"
}