{
    "config_general": {
        "start_date": "2024-10-04T07-18-43.453507",
        "start_time": 1728026324.210543,
        "end_time": 1728030207.922418,
        "total_evaluation_time_seconds": 3883.7118752002716,
        "has_chat_template": true,
        "chat_type": "system_user_assistant",
        "n_gpus": 1,
        "accelerate_num_process": null,
        "model_sha": "b91f605a511707cb3b7f0893a8ed80c77b32d5a8",
        "model_dtype": "bfloat16",
        "model_memory_footprint": 16060530944,
        "model_num_parameters": 8030261248,
        "model_is_loaded_in_4bit": null,
        "model_is_loaded_in_8bit": null,
        "model_is_quantized": null,
        "model_device": "cuda:0",
        "batch_size": 8,
        "max_length": 2560,
        "max_ctx_length": 2528,
        "max_gen_toks": 32,
        "model_name": "Magpie-Align/MagpieLM-8B-SFT-v0.1",
        "job_id": 1153,
        "model_id": "Magpie-Align/MagpieLM-8B-SFT-v0.1_eval_request_b91f605_False_bfloat16_Original",
        "model_base_model": "",
        "model_weight_type": "Original",
        "model_revision": "b91f605a511707cb3b7f0893a8ed80c77b32d5a8",
        "model_private": false,
        "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
        "model_architectures": "LlamaForCausalLM",
        "submitted_time": "2024-09-29T03:59:52Z",
        "lm_eval_model_type": "huggingface",
        "eval_version": "1.1.0"
    },
    "results": {
        "all_grouped_average": 0.636965556251313,
        "all_grouped_npm": 0.44809005666398427,
        "all_grouped": {
            "enem_challenge": 0.6731980405878236,
            "bluex": 0.545201668984701,
            "oab_exams": 0.48200455580865603,
            "assin2_rte": 0.8752699434198592,
            "assin2_sts": 0.7220511644434541,
            "faquad_nli": 0.7227240790926428,
            "hatebr_offensive": 0.8505056727758098,
            "portuguese_hate_speech": 0.41745304367503955,
            "tweetsentbr": 0.444281837473832
        },
        "all": {
            "harness|enem_challenge|enem_challenge|None|3": 0.6731980405878236,
            "harness|bluex|bluex|None|3": 0.545201668984701,
            "harness|oab_exams|oab_exams|None|3": 0.48200455580865603,
            "harness|assin2_rte|assin2_rte|None|15": 0.8752699434198592,
            "harness|assin2_sts|assin2_sts|None|15": 0.7220511644434541,
            "harness|faquad_nli|faquad_nli|None|15": 0.7227240790926428,
            "harness|hatebr_offensive|hatebr_offensive|None|25": 0.8505056727758098,
            "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.41745304367503955,
            "harness|tweetsentbr|tweetsentbr|None|25": 0.444281837473832
        },
        "harness|enem_challenge|enem_challenge|None|3": {
            "acc,all": 0.6731980405878236,
            "acc,exam_id__2017": 0.7155172413793104,
            "acc,exam_id__2011": 0.7692307692307693,
            "acc,exam_id__2016": 0.6528925619834711,
            "acc,exam_id__2015": 0.680672268907563,
            "acc,exam_id__2016_2": 0.6585365853658537,
            "acc,exam_id__2014": 0.6697247706422018,
            "acc,exam_id__2013": 0.6759259259259259,
            "acc,exam_id__2022": 0.6015037593984962,
            "acc,exam_id__2023": 0.7333333333333333,
            "acc,exam_id__2012": 0.6637931034482759,
            "acc,exam_id__2010": 0.6153846153846154,
            "acc,exam_id__2009": 0.6434782608695652,
            "main_score": 0.6731980405878236
        },
        "harness|bluex|bluex|None|3": {
            "acc,all": 0.545201668984701,
            "acc,exam_id__USP_2018": 0.3888888888888889,
            "acc,exam_id__UNICAMP_2019": 0.62,
            "acc,exam_id__UNICAMP_2021_1": 0.43478260869565216,
            "acc,exam_id__USP_2020": 0.5535714285714286,
            "acc,exam_id__USP_2021": 0.4807692307692308,
            "acc,exam_id__UNICAMP_2020": 0.5454545454545454,
            "acc,exam_id__UNICAMP_2022": 0.6410256410256411,
            "acc,exam_id__UNICAMP_2024": 0.5777777777777777,
            "acc,exam_id__USP_2019": 0.55,
            "acc,exam_id__UNICAMP_2023": 0.7209302325581395,
            "acc,exam_id__UNICAMP_2018": 0.5370370370370371,
            "acc,exam_id__USP_2023": 0.5909090909090909,
            "acc,exam_id__USP_2022": 0.4489795918367347,
            "acc,exam_id__UNICAMP_2021_2": 0.5294117647058824,
            "acc,exam_id__USP_2024": 0.6341463414634146,
            "main_score": 0.545201668984701
        },
        "harness|oab_exams|oab_exams|None|3": {
            "acc,all": 0.48200455580865603,
            "acc,exam_id__2014-13": 0.425,
            "acc,exam_id__2014-14": 0.55,
            "acc,exam_id__2014-15": 0.6282051282051282,
            "acc,exam_id__2018-25": 0.475,
            "acc,exam_id__2013-10": 0.5,
            "acc,exam_id__2010-02": 0.47,
            "acc,exam_id__2015-18": 0.4625,
            "acc,exam_id__2011-03": 0.40404040404040403,
            "acc,exam_id__2012-07": 0.5,
            "acc,exam_id__2016-19": 0.5769230769230769,
            "acc,exam_id__2017-22": 0.525,
            "acc,exam_id__2012-08": 0.525,
            "acc,exam_id__2017-24": 0.425,
            "acc,exam_id__2016-20": 0.5,
            "acc,exam_id__2013-12": 0.5375,
            "acc,exam_id__2011-04": 0.3875,
            "acc,exam_id__2016-21": 0.375,
            "acc,exam_id__2016-20a": 0.425,
            "acc,exam_id__2015-17": 0.5897435897435898,
            "acc,exam_id__2015-16": 0.5,
            "acc,exam_id__2010-01": 0.4117647058823529,
            "acc,exam_id__2012-09": 0.33766233766233766,
            "acc,exam_id__2017-23": 0.475,
            "acc,exam_id__2011-05": 0.475,
            "acc,exam_id__2012-06": 0.5625,
            "acc,exam_id__2013-11": 0.4375,
            "acc,exam_id__2012-06a": 0.5625,
            "main_score": 0.48200455580865603
        },
        "harness|assin2_rte|assin2_rte|None|15": {
            "f1_macro,all": 0.8752699434198592,
            "acc,all": 0.8766339869281046,
            "main_score": 0.8752699434198592
        },
        "harness|assin2_sts|assin2_sts|None|15": {
            "pearson,all": 0.7220511644434541,
            "mse,all": 0.8597140522875815,
            "main_score": 0.7220511644434541
        },
        "harness|faquad_nli|faquad_nli|None|15": {
            "f1_macro,all": 0.7227240790926428,
            "acc,all": 0.7907692307692308,
            "main_score": 0.7227240790926428
        },
        "harness|hatebr_offensive|hatebr_offensive|None|25": {
            "f1_macro,all": 0.8505056727758098,
            "acc,all": 0.8514285714285714,
            "main_score": 0.8505056727758098
        },
        "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
            "f1_macro,all": 0.41745304367503955,
            "acc,all": 0.4312573443008226,
            "main_score": 0.41745304367503955
        },
        "harness|tweetsentbr|tweetsentbr|None|25": {
            "f1_macro,all": 0.444281837473832,
            "acc,all": 0.5383084577114428,
            "main_score": 0.444281837473832
        }
    },
    "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|hatebr_offensive|hatebr_offensive": "LM Harness task",
        "harness|portuguese_hate_speech|portuguese_hate_speech": "LM Harness task",
        "harness|tweetsentbr|tweetsentbr": "LM Harness task"
    },
    "versions": {
        "all": 0,
        "harness|enem_challenge|enem_challenge": 1.1,
        "harness|bluex|bluex": 1.1,
        "harness|oab_exams|oab_exams": 1.5,
        "harness|assin2_rte|assin2_rte": 1.1,
        "harness|assin2_sts|assin2_sts": 1.1,
        "harness|faquad_nli|faquad_nli": 1.1,
        "harness|hatebr_offensive|hatebr_offensive": 1.0,
        "harness|portuguese_hate_speech|portuguese_hate_speech": 1.0,
        "harness|tweetsentbr|tweetsentbr": 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": 1412.3547935619315,
            "min_seq_length": 1187,
            "max_seq_length": 2340,
            "max_ctx_length": 2528,
            "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": 1484.769123783032,
            "min_seq_length": 1165,
            "max_seq_length": 2134,
            "max_ctx_length": 2528,
            "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": 1220.3772209567198,
            "min_seq_length": 988,
            "max_seq_length": 1654,
            "max_ctx_length": 2528,
            "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": 1318.5322712418301,
            "min_seq_length": 1299,
            "max_seq_length": 1382,
            "max_ctx_length": 2528,
            "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": 1509.5322712418301,
            "min_seq_length": 1490,
            "max_seq_length": 1573,
            "max_ctx_length": 2528,
            "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": 1447.8215384615385,
            "min_seq_length": 1402,
            "max_seq_length": 1544,
            "max_ctx_length": 2528,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 15.0,
            "mean_effective_fewshot_size": 15.0
        },
        "harness|hatebr_offensive|hatebr_offensive|None|25": {
            "sample_size": 1400,
            "truncated": 0,
            "non_truncated": 1400,
            "padded": 0,
            "non_padded": 1400,
            "fewshots_truncated": 0,
            "mean_seq_length": 1279.3878571428572,
            "min_seq_length": 1259,
            "max_seq_length": 1498,
            "max_ctx_length": 2528,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 25.0,
            "mean_effective_fewshot_size": 25.0
        },
        "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
            "sample_size": 851,
            "truncated": 0,
            "non_truncated": 851,
            "padded": 0,
            "non_padded": 851,
            "fewshots_truncated": 0,
            "mean_seq_length": 1676.4195064629848,
            "min_seq_length": 1646,
            "max_seq_length": 1708,
            "max_ctx_length": 2528,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 25.0,
            "mean_effective_fewshot_size": 25.0
        },
        "harness|tweetsentbr|tweetsentbr|None|25": {
            "sample_size": 2010,
            "truncated": 0,
            "non_truncated": 2010,
            "padded": 0,
            "non_padded": 2010,
            "fewshots_truncated": 0,
            "mean_seq_length": 1537.1537313432837,
            "min_seq_length": 1520,
            "max_seq_length": 1585,
            "max_ctx_length": 2528,
            "max_gen_toks": 32,
            "mean_original_fewshots_size": 25.0,
            "mean_effective_fewshot_size": 25.0
        }
    },
    "summary_general": {
        "truncated": 0,
        "non_truncated": 14150,
        "padded": 0,
        "non_padded": 14150,
        "fewshots_truncated": 0
    }
}