Uploading raw results for dominguesm/canarim-7b

dominguesm/canarim-7b/raw_2024-02-06T14-23-58.409877/results.json

@@ -0,0 +1,1259 @@
+{
+  "results": {
+    "assin2_rte": {
+      "f1_macro,all": 0.381404336182431,
+      "acc,all": 0.5224673202614379,
+      "alias": "assin2_rte"
+    },
+    "assin2_sts": {
+      "pearson,all": 0.20436567575697118,
+      "mse,all": 2.5624101307189546,
+      "alias": "assin2_sts"
+    },
+    "bluex": {
+      "acc,all": 0.26286509040333794,
+      "acc,exam_id__UNICAMP_2024": 0.3333333333333333,
+      "acc,exam_id__UNICAMP_2022": 0.3333333333333333,
+      "acc,exam_id__USP_2018": 0.2222222222222222,
+      "acc,exam_id__UNICAMP_2019": 0.2,
+      "acc,exam_id__USP_2024": 0.14634146341463414,
+      "acc,exam_id__UNICAMP_2018": 0.2777777777777778,
+      "acc,exam_id__USP_2022": 0.22448979591836735,
+      "acc,exam_id__USP_2023": 0.18181818181818182,
+      "acc,exam_id__UNICAMP_2023": 0.4186046511627907,
+      "acc,exam_id__USP_2021": 0.17307692307692307,
+      "acc,exam_id__UNICAMP_2020": 0.2727272727272727,
+      "acc,exam_id__UNICAMP_2021_2": 0.2549019607843137,
+      "acc,exam_id__USP_2019": 0.3,
+      "acc,exam_id__UNICAMP_2021_1": 0.3695652173913043,
+      "acc,exam_id__USP_2020": 0.26785714285714285,
+      "alias": "bluex"
+    },
+    "enem_challenge": {
+      "alias": "enem",
+      "acc,all": 0.24212736179146255,
+      "acc,exam_id__2013": 0.21296296296296297,
+      "acc,exam_id__2017": 0.25862068965517243,
+      "acc,exam_id__2022": 0.2631578947368421,
+      "acc,exam_id__2023": 0.25925925925925924,
+      "acc,exam_id__2012": 0.25862068965517243,
+      "acc,exam_id__2011": 0.2564102564102564,
+      "acc,exam_id__2016": 0.2231404958677686,
+      "acc,exam_id__2015": 0.18487394957983194,
+      "acc,exam_id__2014": 0.28440366972477066,
+      "acc,exam_id__2016_2": 0.21951219512195122,
+      "acc,exam_id__2009": 0.2608695652173913,
+      "acc,exam_id__2010": 0.2222222222222222
+    },
+    "faquad_nli": {
+      "f1_macro,all": 0.48515878307149657,
+      "acc,all": 0.7861538461538462,
+      "alias": "faquad_nli"
+    },
+    "oab_exams": {
+      "acc,all": 0.3193621867881549,
+      "acc,exam_id__2010-01": 0.25882352941176473,
+      "acc,exam_id__2012-08": 0.375,
+      "acc,exam_id__2018-25": 0.3,
+      "acc,exam_id__2016-21": 0.3375,
+      "acc,exam_id__2012-06": 0.275,
+      "acc,exam_id__2014-15": 0.3717948717948718,
+      "acc,exam_id__2012-06a": 0.325,
+      "acc,exam_id__2011-03": 0.29292929292929293,
+      "acc,exam_id__2014-13": 0.3375,
+      "acc,exam_id__2015-16": 0.325,
+      "acc,exam_id__2016-19": 0.3974358974358974,
+      "acc,exam_id__2017-24": 0.275,
+      "acc,exam_id__2013-10": 0.3375,
+      "acc,exam_id__2015-17": 0.38461538461538464,
+      "acc,exam_id__2017-22": 0.3875,
+      "acc,exam_id__2016-20a": 0.2,
+      "acc,exam_id__2011-04": 0.3375,
+      "acc,exam_id__2015-18": 0.325,
+      "acc,exam_id__2012-07": 0.2875,
+      "acc,exam_id__2013-12": 0.2875,
+      "acc,exam_id__2010-02": 0.35,
+      "acc,exam_id__2014-14": 0.275,
+      "acc,exam_id__2017-23": 0.3375,
+      "acc,exam_id__2011-05": 0.25,
+      "acc,exam_id__2013-11": 0.325,
+      "acc,exam_id__2012-09": 0.3116883116883117,
+      "acc,exam_id__2016-20": 0.3625,
+      "alias": "oab_exams"
+    },
+    "sparrow_emotion-2021-cortiz-por": {
+      "alias": "emotion-2021-cortiz-por",
+      "f1_macro,all": 0.08210884572359006,
+      "acc,all": 0.178
+    },
+    "sparrow_hate-2019-fortuna-por": {
+      "alias": "hate-2019-fortuna-por",
+      "f1_macro,all": 0.3932038834951456,
+      "acc,all": 0.648
+    },
+    "sparrow_sentiment-2016-mozetic-por": {
+      "alias": "sentiment-2016-mozetic-por",
+      "f1_macro,all": 0.4140278172590423,
+      "acc,all": 0.504
+    },
+    "sparrow_sentiment-2018-brum-por": {
+      "alias": "sentiment-2018-brum-por",
+      "f1_macro,all": 0.3771804459675215,
+      "acc,all": 0.404
+    }
+  },
+  "configs": {
+    "assin2_rte": {
+      "task": "assin2_rte",
+      "group": [
+        "pt_benchmark",
+        "assin2"
+      ],
+      "dataset_path": "assin2",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Premissa: {{premise}}\nHipótese: {{hypothesis}}\nPergunta: A hipótese pode ser inferida pela premissa?\nResposta:",
+      "doc_to_target": "{{['Não', 'Sim'][entailment_judgment]}}",
+      "description": "Abaixo contém pares de premissa e hipótese, para cada par você deve julgar se a hipótese pode ser inferida a partir da premissa, responda apenas com Sim ou Não.\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",
+                "Não"
+              ]
+            },
+            {
+              "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 0x7f10ce805760>",
+      "description": "Abaixo contém pares de frases, para cada par você deve julgar o grau de similaridade de 1,0 a 5,0, responda apenas com o número.\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 0x7f10ce805120>",
+      "doc_to_target": "{{answerKey}}",
+      "description": "As perguntas a seguir são questões 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 0x7f10ce8053a0>",
+      "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 0x7f10ce805940>",
+      "doc_to_target": "{{answerKey}}",
+      "description": "As perguntas a seguir são questões de multipla escolha do Exame Nacional do Ensino Médio (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 0x7f10ce805bc0>",
+      "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 Não?",
+      "doc_to_target": "{{['Não', 'Sim'][label]}}",
+      "description": "Abaixo contém pares de pergunta e reposta, para cada par você deve julgar resposta responde a pergunta de maneira satisfatória e aparenta estar correta, escreva apenas Sim ou Não.\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",
+                "Não"
+              ]
+            },
+            {
+              "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 0x7f10ce804ae0>",
+      "doc_to_target": "{{answerKey}}",
+      "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",
+      "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 0x7f10ce804d60>",
+      "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 emoção apresentada no texto?\nResposta:",
+      "doc_to_target": "<function sparrow_emotion_por_trans_label at 0x7f10ce804fe0>",
+      "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",
+      "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": [
+                "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",
+                "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 contém discurso de ódio?\nResposta:",
+      "doc_to_target": "{{'Sim' if label == 'Hate' else 'Não'}}",
+      "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",
+      "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",
+                "Não"
+              ]
+            },
+            {
+              "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 é Positivo, Neutro ou Negativo?\nResposta:",
+      "doc_to_target": "{{'Positivo' if label == 'Positive' else ('Negativo' if label == 'Negative' else 'Neutro')}}",
+      "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",
+      "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 é Positivo, Neutro ou Negativo?\nResposta:",
+      "doc_to_target": "{{'Positivo' if label == 'Positive' else ('Negativo' if label == 'Negative' else 'Neutro')}}",
+      "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",
+      "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": 0,
+    "non_truncated": 11889,
+    "padded": 0,
+    "non_padded": 11889,
+    "fewshots_truncated": 0,
+    "has_chat_template": false,
+    "chat_type": null,
+    "n_gpus": 1,
+    "accelerate_num_process": null,
+    "model_sha": "18d34bd9ad2d9674675b2e0d88dee9324b52f2b5",
+    "model_dtype": "torch.float16",
+    "model_memory_footprint": 13543948288,
+    "model_num_parameters": 6738415616,
+    "model_is_loaded_in_4bit": false,
+    "model_is_loaded_in_8bit": false,
+    "model_is_quantized": null,
+    "model_device": "cuda:1",
+    "batch_size": 8,
+    "max_length": 4096,
+    "max_ctx_length": 4064,
+    "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": 1182.9889705882354,
+      "min_seq_length": 1160,
+      "max_seq_length": 1249,
+      "max_ctx_length": 4064,
+      "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": 1415.9889705882354,
+      "min_seq_length": 1393,
+      "max_seq_length": 1482,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 15.0,
+      "mean_effective_fewshot_size": 15.0
+    },
+    "bluex": {
+      "sample_size": 719,
+      "truncated": 0,
+      "non_truncated": 719,
+      "padded": 0,
+      "non_padded": 719,
+      "fewshots_truncated": 0,
+      "mean_seq_length": 1364.7426981919332,
+      "min_seq_length": 998,
+      "max_seq_length": 2124,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 3.0,
+      "mean_effective_fewshot_size": 3.0
+    },
+    "enem_challenge": {
+      "sample_size": 1429,
+      "truncated": 0,
+      "non_truncated": 1429,
+      "padded": 0,
+      "non_padded": 1429,
+      "fewshots_truncated": 0,
+      "mean_seq_length": 1532.9881035689293,
+      "min_seq_length": 1280,
+      "max_seq_length": 2572,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 3.0,
+      "mean_effective_fewshot_size": 3.0
+    },
+    "faquad_nli": {
+      "sample_size": 650,
+      "truncated": 0,
+      "non_truncated": 650,
+      "padded": 0,
+      "non_padded": 650,
+      "fewshots_truncated": 0,
+      "mean_seq_length": 1473.1184615384616,
+      "min_seq_length": 1421,
+      "max_seq_length": 1580,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 15.0,
+      "mean_effective_fewshot_size": 15.0
+    },
+    "oab_exams": {
+      "sample_size": 2195,
+      "truncated": 0,
+      "non_truncated": 2195,
+      "padded": 0,
+      "non_padded": 2195,
+      "fewshots_truncated": 0,
+      "mean_seq_length": 1306.4145785876992,
+      "min_seq_length": 1051,
+      "max_seq_length": 1788,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 3.0,
+      "mean_effective_fewshot_size": 3.0
+    },
+    "sparrow_emotion-2021-cortiz-por": {
+      "sample_size": 500,
+      "truncated": 0,
+      "non_truncated": 500,
+      "padded": 0,
+      "non_padded": 500,
+      "fewshots_truncated": 0,
+      "mean_seq_length": 1696.204,
+      "min_seq_length": 1674,
+      "max_seq_length": 1744,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 25.0,
+      "mean_effective_fewshot_size": 25.0
+    },
+    "sparrow_hate-2019-fortuna-por": {
+      "sample_size": 500,
+      "truncated": 0,
+      "non_truncated": 500,
+      "padded": 0,
+      "non_padded": 500,
+      "fewshots_truncated": 0,
+      "mean_seq_length": 1708.588,
+      "min_seq_length": 1684,
+      "max_seq_length": 1767,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 25.0,
+      "mean_effective_fewshot_size": 25.0
+    },
+    "sparrow_sentiment-2016-mozetic-por": {
+      "sample_size": 500,
+      "truncated": 0,
+      "non_truncated": 500,
+      "padded": 0,
+      "non_padded": 500,
+      "fewshots_truncated": 0,
+      "mean_seq_length": 1422.44,
+      "min_seq_length": 1405,
+      "max_seq_length": 1458,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 25.0,
+      "mean_effective_fewshot_size": 25.0
+    },
+    "sparrow_sentiment-2018-brum-por": {
+      "sample_size": 500,
+      "truncated": 0,
+      "non_truncated": 500,
+      "padded": 0,
+      "non_padded": 500,
+      "fewshots_truncated": 0,
+      "mean_seq_length": 1573.854,
+      "min_seq_length": 1556,
+      "max_seq_length": 1605,
+      "max_ctx_length": 4064,
+      "max_gen_toks": 32,
+      "mean_original_fewshots_size": 25.0,
+      "mean_effective_fewshot_size": 25.0
+    }
+  },
+  "config": {
+    "model": "huggingface",
+    "model_args": "pretrained=dominguesm/canarim-7b,dtype=float16,device=cuda:1,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": "637ac6b"
+}

dominguesm/canarim-7b/results_2024-02-06T14-23-58.409877.json

@@ -0,0 +1,345 @@
+{
+    "config_general": {
+        "start_date": "2024-02-06T14-23-58.409877",
+        "start_time": 1707229445.2976217,
+        "end_time": 1707233652.6534574,
+        "total_evaluation_time_seconds": 4207.355835676193,
+        "has_chat_template": false,
+        "chat_type": null,
+        "n_gpus": 1,
+        "accelerate_num_process": null,
+        "model_sha": "18d34bd9ad2d9674675b2e0d88dee9324b52f2b5",
+        "model_dtype": "float16",
+        "model_memory_footprint": 13543948288,
+        "model_num_parameters": 6738415616,
+        "model_is_loaded_in_4bit": false,
+        "model_is_loaded_in_8bit": false,
+        "model_is_quantized": null,
+        "model_device": "cuda:1",
+        "batch_size": 8,
+        "max_length": 4096,
+        "max_ctx_length": 4064,
+        "max_gen_toks": 32,
+        "model_name": "dominguesm/canarim-7b",
+        "job_id": 11,
+        "model_id": "dominguesm/canarim-7b_eval_request_False_float16_Original",
+        "model_base_model": "",
+        "model_weight_type": "Original",
+        "model_revision": "main",
+        "model_private": false,
+        "model_type": "🆎 : language adapted models (FP, FT, ...)",
+        "model_architectures": "LlamaForCausalLM",
+        "submitted_time": "2024-02-05T23:02:49Z",
+        "lm_eval_model_type": "huggingface",
+        "eval_version": "1.0.0"
+    },
+    "results": {
+        "all_grouped_average": 0.31598766887216845,
+        "all_grouped": {
+            "enem_challenge": 0.24212736179146255,
+            "bluex": 0.26286509040333794,
+            "oab_exams": 0.3193621867881549,
+            "assin2_rte": 0.381404336182431,
+            "assin2_sts": 0.20436567575697118,
+            "faquad_nli": 0.48515878307149657,
+            "sparrow_pt": 0.31663024811132484
+        },
+        "all": {
+            "harness|enem_challenge|enem_challenge|None|3": 0.24212736179146255,
+            "harness|bluex|bluex|None|3": 0.26286509040333794,
+            "harness|oab_exams|oab_exams|None|3": 0.3193621867881549,
+            "harness|assin2_rte|assin2_rte|None|15": 0.381404336182431,
+            "harness|assin2_sts|assin2_sts|None|15": 0.20436567575697118,
+            "harness|faquad_nli|faquad_nli|None|15": 0.48515878307149657,
+            "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.08210884572359006,
+            "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3932038834951456,
+            "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.4140278172590423,
+            "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.3771804459675215
+        },
+        "harness|enem_challenge|enem_challenge|None|3": {
+            "acc,all": 0.24212736179146255,
+            "acc,exam_id__2013": 0.21296296296296297,
+            "acc,exam_id__2017": 0.25862068965517243,
+            "acc,exam_id__2022": 0.2631578947368421,
+            "acc,exam_id__2023": 0.25925925925925924,
+            "acc,exam_id__2012": 0.25862068965517243,
+            "acc,exam_id__2011": 0.2564102564102564,
+            "acc,exam_id__2016": 0.2231404958677686,
+            "acc,exam_id__2015": 0.18487394957983194,
+            "acc,exam_id__2014": 0.28440366972477066,
+            "acc,exam_id__2016_2": 0.21951219512195122,
+            "acc,exam_id__2009": 0.2608695652173913,
+            "acc,exam_id__2010": 0.2222222222222222,
+            "main_score": 0.24212736179146255
+        },
+        "harness|bluex|bluex|None|3": {
+            "acc,all": 0.26286509040333794,
+            "acc,exam_id__UNICAMP_2024": 0.3333333333333333,
+            "acc,exam_id__UNICAMP_2022": 0.3333333333333333,
+            "acc,exam_id__USP_2018": 0.2222222222222222,
+            "acc,exam_id__UNICAMP_2019": 0.2,
+            "acc,exam_id__USP_2024": 0.14634146341463414,
+            "acc,exam_id__UNICAMP_2018": 0.2777777777777778,
+            "acc,exam_id__USP_2022": 0.22448979591836735,
+            "acc,exam_id__USP_2023": 0.18181818181818182,
+            "acc,exam_id__UNICAMP_2023": 0.4186046511627907,
+            "acc,exam_id__USP_2021": 0.17307692307692307,
+            "acc,exam_id__UNICAMP_2020": 0.2727272727272727,
+            "acc,exam_id__UNICAMP_2021_2": 0.2549019607843137,
+            "acc,exam_id__USP_2019": 0.3,
+            "acc,exam_id__UNICAMP_2021_1": 0.3695652173913043,
+            "acc,exam_id__USP_2020": 0.26785714285714285,
+            "main_score": 0.26286509040333794
+        },
+        "harness|oab_exams|oab_exams|None|3": {
+            "acc,all": 0.3193621867881549,
+            "acc,exam_id__2010-01": 0.25882352941176473,
+            "acc,exam_id__2012-08": 0.375,
+            "acc,exam_id__2018-25": 0.3,
+            "acc,exam_id__2016-21": 0.3375,
+            "acc,exam_id__2012-06": 0.275,
+            "acc,exam_id__2014-15": 0.3717948717948718,
+            "acc,exam_id__2012-06a": 0.325,
+            "acc,exam_id__2011-03": 0.29292929292929293,
+            "acc,exam_id__2014-13": 0.3375,
+            "acc,exam_id__2015-16": 0.325,
+            "acc,exam_id__2016-19": 0.3974358974358974,
+            "acc,exam_id__2017-24": 0.275,
+            "acc,exam_id__2013-10": 0.3375,
+            "acc,exam_id__2015-17": 0.38461538461538464,
+            "acc,exam_id__2017-22": 0.3875,
+            "acc,exam_id__2016-20a": 0.2,
+            "acc,exam_id__2011-04": 0.3375,
+            "acc,exam_id__2015-18": 0.325,
+            "acc,exam_id__2012-07": 0.2875,
+            "acc,exam_id__2013-12": 0.2875,
+            "acc,exam_id__2010-02": 0.35,
+            "acc,exam_id__2014-14": 0.275,
+            "acc,exam_id__2017-23": 0.3375,
+            "acc,exam_id__2011-05": 0.25,
+            "acc,exam_id__2013-11": 0.325,
+            "acc,exam_id__2012-09": 0.3116883116883117,
+            "acc,exam_id__2016-20": 0.3625,
+            "main_score": 0.3193621867881549
+        },
+        "harness|assin2_rte|assin2_rte|None|15": {
+            "f1_macro,all": 0.381404336182431,
+            "acc,all": 0.5224673202614379,
+            "main_score": 0.381404336182431
+        },
+        "harness|assin2_sts|assin2_sts|None|15": {
+            "pearson,all": 0.20436567575697118,
+            "mse,all": 2.5624101307189546,
+            "main_score": 0.20436567575697118
+        },
+        "harness|faquad_nli|faquad_nli|None|15": {
+            "f1_macro,all": 0.48515878307149657,
+            "acc,all": 0.7861538461538462,
+            "main_score": 0.48515878307149657
+        },
+        "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": {
+            "f1_macro,all": 0.08210884572359006,
+            "acc,all": 0.178,
+            "main_score": 0.08210884572359006
+        },
+        "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": {
+            "f1_macro,all": 0.3932038834951456,
+            "acc,all": 0.648,
+            "main_score": 0.3932038834951456
+        },
+        "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": {
+            "f1_macro,all": 0.4140278172590423,
+            "acc,all": 0.504,
+            "main_score": 0.4140278172590423
+        },
+        "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": {
+            "f1_macro,all": 0.3771804459675215,
+            "acc,all": 0.404,
+            "main_score": 0.3771804459675215
+        }
+    },
+    "config_tasks": {
+        "harness|enem_challenge|enem_challenge": "LM Harness task",
+        "harness|bluex|bluex": "LM Harness task",
+        "harness|oab_exams|oab_exams": "LM Harness task",
+        "harness|assin2_rte|assin2_rte": "LM Harness task",
+        "harness|assin2_sts|assin2_sts": "LM Harness task",
+        "harness|faquad_nli|faquad_nli": "LM Harness task",
+        "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por": "LM Harness task",
+        "harness|sparrow_pt|sparrow_hate-2019-fortuna-por": "LM Harness task",
+        "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por": "LM Harness task",
+        "harness|sparrow_pt|sparrow_sentiment-2018-brum-por": "LM Harness task"
+    },
+    "versions": {
+        "all": 0,
+        "harness|enem_challenge|enem_challenge": 1.0,
+        "harness|bluex|bluex": 1.0,
+        "harness|oab_exams|oab_exams": 1.4,
+        "harness|assin2_rte|assin2_rte": 1.0,
+        "harness|assin2_sts|assin2_sts": 1.0,
+        "harness|faquad_nli|faquad_nli": 1.0,
+        "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por": 1.0,
+        "harness|sparrow_pt|sparrow_hate-2019-fortuna-por": 1.0,
+        "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por": 1.0,
+        "harness|sparrow_pt|sparrow_sentiment-2018-brum-por": 1.0
+    },
+    "summary_tasks": {
+        "harness|enem_challenge|enem_challenge|None|3": {
+            "sample_size": 1429,
+            "truncated": 0,
+            "non_truncated": 1429,
+            "padded": 0,
+            "non_padded": 1429,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1532.9881035689293,
+            "min_seq_length": 1280,
+            "max_seq_length": 2572,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 3.0,
+            "mean_effective_fewshot_size": 3.0
+        },
+        "harness|bluex|bluex|None|3": {
+            "sample_size": 719,
+            "truncated": 0,
+            "non_truncated": 719,
+            "padded": 0,
+            "non_padded": 719,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1364.7426981919332,
+            "min_seq_length": 998,
+            "max_seq_length": 2124,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 3.0,
+            "mean_effective_fewshot_size": 3.0
+        },
+        "harness|oab_exams|oab_exams|None|3": {
+            "sample_size": 2195,
+            "truncated": 0,
+            "non_truncated": 2195,
+            "padded": 0,
+            "non_padded": 2195,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1306.4145785876992,
+            "min_seq_length": 1051,
+            "max_seq_length": 1788,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 3.0,
+            "mean_effective_fewshot_size": 3.0
+        },
+        "harness|assin2_rte|assin2_rte|None|15": {
+            "sample_size": 2448,
+            "truncated": 0,
+            "non_truncated": 2448,
+            "padded": 0,
+            "non_padded": 2448,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1182.9889705882354,
+            "min_seq_length": 1160,
+            "max_seq_length": 1249,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 15.0,
+            "mean_effective_fewshot_size": 15.0
+        },
+        "harness|assin2_sts|assin2_sts|None|15": {
+            "sample_size": 2448,
+            "truncated": 0,
+            "non_truncated": 2448,
+            "padded": 0,
+            "non_padded": 2448,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1415.9889705882354,
+            "min_seq_length": 1393,
+            "max_seq_length": 1482,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 15.0,
+            "mean_effective_fewshot_size": 15.0
+        },
+        "harness|faquad_nli|faquad_nli|None|15": {
+            "sample_size": 650,
+            "truncated": 0,
+            "non_truncated": 650,
+            "padded": 0,
+            "non_padded": 650,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1473.1184615384616,
+            "min_seq_length": 1421,
+            "max_seq_length": 1580,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 15.0,
+            "mean_effective_fewshot_size": 15.0
+        },
+        "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": {
+            "sample_size": 500,
+            "truncated": 0,
+            "non_truncated": 500,
+            "padded": 0,
+            "non_padded": 500,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1696.204,
+            "min_seq_length": 1674,
+            "max_seq_length": 1744,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 25.0,
+            "mean_effective_fewshot_size": 25.0
+        },
+        "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": {
+            "sample_size": 500,
+            "truncated": 0,
+            "non_truncated": 500,
+            "padded": 0,
+            "non_padded": 500,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1708.588,
+            "min_seq_length": 1684,
+            "max_seq_length": 1767,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 25.0,
+            "mean_effective_fewshot_size": 25.0
+        },
+        "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": {
+            "sample_size": 500,
+            "truncated": 0,
+            "non_truncated": 500,
+            "padded": 0,
+            "non_padded": 500,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1422.44,
+            "min_seq_length": 1405,
+            "max_seq_length": 1458,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 25.0,
+            "mean_effective_fewshot_size": 25.0
+        },
+        "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": {
+            "sample_size": 500,
+            "truncated": 0,
+            "non_truncated": 500,
+            "padded": 0,
+            "non_padded": 500,
+            "fewshots_truncated": 0,
+            "mean_seq_length": 1573.854,
+            "min_seq_length": 1556,
+            "max_seq_length": 1605,
+            "max_ctx_length": 4064,
+            "max_gen_toks": 32,
+            "mean_original_fewshots_size": 25.0,
+            "mean_effective_fewshot_size": 25.0
+        }
+    },
+    "summary_general": {
+        "truncated": 0,
+        "non_truncated": 11889,
+        "padded": 0,
+        "non_padded": 11889,
+        "fewshots_truncated": 0
+    }
+}