{
    "config_general": {
        "start_date": "2024-09-23T01-40-34.661105",
        "start_time": 1727055635.5253577,
        "end_time": 1727068722.1884794,
        "total_evaluation_time_seconds": 13086.663121700287,
        "has_chat_template": true,
        "chat_type": "system_user_assistant",
        "n_gpus": 1,
        "accelerate_num_process": null,
        "model_sha": "ff4b5dbac8898e0148a48ebf9de613b11cbbe439",
        "model_dtype": "bfloat16",
        "model_memory_footprint": 17110288384,
        "model_num_parameters": 7615616512,
        "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": "MaziyarPanahi/calme-2.7-qwen2-7b",
        "job_id": 1102,
        "model_id": "MaziyarPanahi/calme-2.7-qwen2-7b_eval_request_False_bfloat16_Original",
        "model_base_model": "",
        "model_weight_type": "Original",
        "model_revision": "main",
        "model_private": false,
        "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
        "model_architectures": "Qwen2ForCausalLM",
        "submitted_time": "2024-09-18T20:24:56Z",
        "lm_eval_model_type": "huggingface",
        "eval_version": "1.1.0"
    },
    "results": {
        "all_grouped_average": 0.6976264866522366,
        "all_grouped_npm": 0.5412251834767496,
        "all_grouped": {
            "enem_challenge": 0.6822953114065781,
            "bluex": 0.56884561891516,
            "oab_exams": 0.49430523917995445,
            "assin2_rte": 0.9338075797077743,
            "assin2_sts": 0.8107955502233284,
            "faquad_nli": 0.6540472994862776,
            "hatebr_offensive": 0.7865853658536586,
            "portuguese_hate_speech": 0.6601117418717886,
            "tweetsentbr": 0.6878446732256093
        },
        "all": {
            "harness|enem_challenge|enem_challenge|None|3": 0.6822953114065781,
            "harness|bluex|bluex|None|3": 0.56884561891516,
            "harness|oab_exams|oab_exams|None|3": 0.49430523917995445,
            "harness|assin2_rte|assin2_rte|None|15": 0.9338075797077743,
            "harness|assin2_sts|assin2_sts|None|15": 0.8107955502233284,
            "harness|faquad_nli|faquad_nli|None|15": 0.6540472994862776,
            "harness|hatebr_offensive|hatebr_offensive|None|25": 0.7865853658536586,
            "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.6601117418717886,
            "harness|tweetsentbr|tweetsentbr|None|25": 0.6878446732256093
        },
        "harness|enem_challenge|enem_challenge|None|3": {
            "acc,all": 0.6822953114065781,
            "acc,exam_id__2016_2": 0.6910569105691057,
            "acc,exam_id__2016": 0.6198347107438017,
            "acc,exam_id__2011": 0.7521367521367521,
            "acc,exam_id__2017": 0.6810344827586207,
            "acc,exam_id__2009": 0.7043478260869566,
            "acc,exam_id__2014": 0.7155963302752294,
            "acc,exam_id__2023": 0.7555555555555555,
            "acc,exam_id__2022": 0.631578947368421,
            "acc,exam_id__2015": 0.6890756302521008,
            "acc,exam_id__2010": 0.6837606837606838,
            "acc,exam_id__2013": 0.6018518518518519,
            "acc,exam_id__2012": 0.6551724137931034,
            "main_score": 0.6822953114065781
        },
        "harness|bluex|bluex|None|3": {
            "acc,all": 0.56884561891516,
            "acc,exam_id__USP_2023": 0.7272727272727273,
            "acc,exam_id__USP_2018": 0.4074074074074074,
            "acc,exam_id__USP_2020": 0.6964285714285714,
            "acc,exam_id__USP_2019": 0.475,
            "acc,exam_id__UNICAMP_2022": 0.5897435897435898,
            "acc,exam_id__UNICAMP_2021_2": 0.5686274509803921,
            "acc,exam_id__USP_2024": 0.6585365853658537,
            "acc,exam_id__UNICAMP_2020": 0.5818181818181818,
            "acc,exam_id__USP_2021": 0.5192307692307693,
            "acc,exam_id__UNICAMP_2018": 0.5740740740740741,
            "acc,exam_id__UNICAMP_2023": 0.6511627906976745,
            "acc,exam_id__UNICAMP_2019": 0.52,
            "acc,exam_id__UNICAMP_2021_1": 0.5217391304347826,
            "acc,exam_id__UNICAMP_2024": 0.5555555555555556,
            "acc,exam_id__USP_2022": 0.5102040816326531,
            "main_score": 0.56884561891516
        },
        "harness|oab_exams|oab_exams|None|3": {
            "acc,all": 0.49430523917995445,
            "acc,exam_id__2015-17": 0.5512820512820513,
            "acc,exam_id__2016-20": 0.5,
            "acc,exam_id__2016-21": 0.4125,
            "acc,exam_id__2017-23": 0.5,
            "acc,exam_id__2012-06": 0.475,
            "acc,exam_id__2012-07": 0.475,
            "acc,exam_id__2011-03": 0.42424242424242425,
            "acc,exam_id__2015-18": 0.5,
            "acc,exam_id__2014-14": 0.6125,
            "acc,exam_id__2012-09": 0.42857142857142855,
            "acc,exam_id__2010-01": 0.3764705882352941,
            "acc,exam_id__2012-06a": 0.5375,
            "acc,exam_id__2016-19": 0.5512820512820513,
            "acc,exam_id__2018-25": 0.4625,
            "acc,exam_id__2017-24": 0.5,
            "acc,exam_id__2012-08": 0.425,
            "acc,exam_id__2010-02": 0.56,
            "acc,exam_id__2013-12": 0.5875,
            "acc,exam_id__2013-11": 0.55,
            "acc,exam_id__2014-15": 0.5897435897435898,
            "acc,exam_id__2011-04": 0.425,
            "acc,exam_id__2017-22": 0.525,
            "acc,exam_id__2014-13": 0.425,
            "acc,exam_id__2011-05": 0.475,
            "acc,exam_id__2016-20a": 0.4375,
            "acc,exam_id__2013-10": 0.5875,
            "acc,exam_id__2015-16": 0.4625,
            "main_score": 0.49430523917995445
        },
        "harness|assin2_rte|assin2_rte|None|15": {
            "f1_macro,all": 0.9338075797077743,
            "acc,all": 0.9338235294117647,
            "main_score": 0.9338075797077743
        },
        "harness|assin2_sts|assin2_sts|None|15": {
            "pearson,all": 0.8107955502233284,
            "mse,all": 0.4379837189542483,
            "main_score": 0.8107955502233284
        },
        "harness|faquad_nli|faquad_nli|None|15": {
            "f1_macro,all": 0.6540472994862776,
            "acc,all": 0.7876923076923077,
            "main_score": 0.6540472994862776
        },
        "harness|hatebr_offensive|hatebr_offensive|None|25": {
            "f1_macro,all": 0.7865853658536586,
            "acc,all": 0.7928571428571428,
            "main_score": 0.7865853658536586
        },
        "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
            "f1_macro,all": 0.6601117418717886,
            "acc,all": 0.6862514688601645,
            "main_score": 0.6601117418717886
        },
        "harness|tweetsentbr|tweetsentbr|None|25": {
            "f1_macro,all": 0.6878446732256093,
            "acc,all": 0.7203980099502487,
            "main_score": 0.6878446732256093
        }
    },
    "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": 1415.7809657102869,
            "min_seq_length": 1185,
            "max_seq_length": 2376,
            "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": 1495.2378303198886,
            "min_seq_length": 1175,
            "max_seq_length": 2146,
            "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": 1203.888382687927,
            "min_seq_length": 974,
            "max_seq_length": 1617,
            "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": 1307.2818627450981,
            "min_seq_length": 1288,
            "max_seq_length": 1369,
            "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": 1498.2818627450981,
            "min_seq_length": 1479,
            "max_seq_length": 1560,
            "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": 1438.6876923076923,
            "min_seq_length": 1394,
            "max_seq_length": 1534,
            "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": 1245.6992857142857,
            "min_seq_length": 1227,
            "max_seq_length": 1466,
            "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": 1688.62044653349,
            "min_seq_length": 1658,
            "max_seq_length": 1722,
            "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": 1539.0567164179104,
            "min_seq_length": 1521,
            "max_seq_length": 1587,
            "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
    }
}