{
    "config_general": {
        "start_date": "2024-09-19T02-39-58.689409",
        "start_time": 1726713599.581773,
        "end_time": 1726717404.1389952,
        "total_evaluation_time_seconds": 3804.5572221279144,
        "has_chat_template": true,
        "chat_type": "system_user_assistant",
        "n_gpus": 1,
        "accelerate_num_process": null,
        "model_sha": "ef3782837ee4996b94f7a6c9bb6c699694df56c0",
        "model_dtype": "float16",
        "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": "EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta",
        "job_id": 1069,
        "model_id": "EpistemeAI/Fireball-Alpaca-Llama3.1.07-8B-Philos-Math-KTO-beta_eval_request_ef37828_False_float16_Original",
        "model_base_model": "",
        "model_weight_type": "Original",
        "model_revision": "ef3782837ee4996b94f7a6c9bb6c699694df56c0",
        "model_private": false,
        "model_type": "💬 : chat (RLHF, DPO, IFT, ...)",
        "model_architectures": "LlamaForCausalLM",
        "submitted_time": "2024-09-15T04:23:41Z",
        "lm_eval_model_type": "huggingface",
        "eval_version": "1.1.0"
    },
    "results": {
        "all_grouped_average": 0.7055346286282101,
        "all_grouped_npm": 0.56030120039052,
        "all_grouped": {
            "enem_challenge": 0.6822953114065781,
            "bluex": 0.56884561891516,
            "oab_exams": 0.49339407744874714,
            "assin2_rte": 0.9276737627600735,
            "assin2_sts": 0.7920894421060412,
            "faquad_nli": 0.7165122978572003,
            "hatebr_offensive": 0.852197087716136,
            "portuguese_hate_speech": 0.6698073871599162,
            "tweetsentbr": 0.6469966722840385
        },
        "all": {
            "harness|enem_challenge|enem_challenge|None|3": 0.6822953114065781,
            "harness|bluex|bluex|None|3": 0.56884561891516,
            "harness|oab_exams|oab_exams|None|3": 0.49339407744874714,
            "harness|assin2_rte|assin2_rte|None|15": 0.9276737627600735,
            "harness|assin2_sts|assin2_sts|None|15": 0.7920894421060412,
            "harness|faquad_nli|faquad_nli|None|15": 0.7165122978572003,
            "harness|hatebr_offensive|hatebr_offensive|None|25": 0.852197087716136,
            "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": 0.6698073871599162,
            "harness|tweetsentbr|tweetsentbr|None|25": 0.6469966722840385
        },
        "harness|enem_challenge|enem_challenge|None|3": {
            "acc,all": 0.6822953114065781,
            "acc,exam_id__2022": 0.6390977443609023,
            "acc,exam_id__2012": 0.6896551724137931,
            "acc,exam_id__2016_2": 0.6341463414634146,
            "acc,exam_id__2009": 0.6869565217391305,
            "acc,exam_id__2023": 0.725925925925926,
            "acc,exam_id__2014": 0.6422018348623854,
            "acc,exam_id__2015": 0.7058823529411765,
            "acc,exam_id__2011": 0.7350427350427351,
            "acc,exam_id__2013": 0.6481481481481481,
            "acc,exam_id__2017": 0.7068965517241379,
            "acc,exam_id__2010": 0.717948717948718,
            "acc,exam_id__2016": 0.6528925619834711,
            "main_score": 0.6822953114065781
        },
        "harness|bluex|bluex|None|3": {
            "acc,all": 0.56884561891516,
            "acc,exam_id__USP_2018": 0.5,
            "acc,exam_id__UNICAMP_2021_1": 0.5652173913043478,
            "acc,exam_id__UNICAMP_2022": 0.5897435897435898,
            "acc,exam_id__UNICAMP_2024": 0.6666666666666666,
            "acc,exam_id__USP_2022": 0.5510204081632653,
            "acc,exam_id__USP_2023": 0.6590909090909091,
            "acc,exam_id__UNICAMP_2018": 0.5,
            "acc,exam_id__UNICAMP_2019": 0.54,
            "acc,exam_id__UNICAMP_2020": 0.6,
            "acc,exam_id__USP_2024": 0.5609756097560976,
            "acc,exam_id__USP_2021": 0.6538461538461539,
            "acc,exam_id__USP_2020": 0.5535714285714286,
            "acc,exam_id__USP_2019": 0.5,
            "acc,exam_id__UNICAMP_2023": 0.6511627906976745,
            "acc,exam_id__UNICAMP_2021_2": 0.47058823529411764,
            "main_score": 0.56884561891516
        },
        "harness|oab_exams|oab_exams|None|3": {
            "acc,all": 0.49339407744874714,
            "acc,exam_id__2010-02": 0.5,
            "acc,exam_id__2016-20a": 0.4875,
            "acc,exam_id__2018-25": 0.4375,
            "acc,exam_id__2014-13": 0.3875,
            "acc,exam_id__2014-15": 0.6025641025641025,
            "acc,exam_id__2013-10": 0.4875,
            "acc,exam_id__2012-06a": 0.5625,
            "acc,exam_id__2010-01": 0.3764705882352941,
            "acc,exam_id__2017-24": 0.525,
            "acc,exam_id__2015-18": 0.4375,
            "acc,exam_id__2017-23": 0.4625,
            "acc,exam_id__2016-20": 0.575,
            "acc,exam_id__2016-21": 0.4125,
            "acc,exam_id__2012-06": 0.5,
            "acc,exam_id__2017-22": 0.4875,
            "acc,exam_id__2013-11": 0.5125,
            "acc,exam_id__2013-12": 0.55,
            "acc,exam_id__2015-16": 0.5125,
            "acc,exam_id__2012-07": 0.5,
            "acc,exam_id__2014-14": 0.6,
            "acc,exam_id__2015-17": 0.6153846153846154,
            "acc,exam_id__2012-09": 0.4675324675324675,
            "acc,exam_id__2011-05": 0.4625,
            "acc,exam_id__2016-19": 0.48717948717948717,
            "acc,exam_id__2011-04": 0.4,
            "acc,exam_id__2011-03": 0.43434343434343436,
            "acc,exam_id__2012-08": 0.5625,
            "main_score": 0.49339407744874714
        },
        "harness|assin2_rte|assin2_rte|None|15": {
            "f1_macro,all": 0.9276737627600735,
            "acc,all": 0.9276960784313726,
            "main_score": 0.9276737627600735
        },
        "harness|assin2_sts|assin2_sts|None|15": {
            "pearson,all": 0.7920894421060412,
            "mse,all": 0.5161029411764706,
            "main_score": 0.7920894421060412
        },
        "harness|faquad_nli|faquad_nli|None|15": {
            "f1_macro,all": 0.7165122978572003,
            "acc,all": 0.7661538461538462,
            "main_score": 0.7165122978572003
        },
        "harness|hatebr_offensive|hatebr_offensive|None|25": {
            "f1_macro,all": 0.852197087716136,
            "acc,all": 0.8535714285714285,
            "main_score": 0.852197087716136
        },
        "harness|portuguese_hate_speech|portuguese_hate_speech|None|25": {
            "f1_macro,all": 0.6698073871599162,
            "acc,all": 0.6850763807285546,
            "main_score": 0.6698073871599162
        },
        "harness|tweetsentbr|tweetsentbr|None|25": {
            "f1_macro,all": 0.6469966722840385,
            "acc,all": 0.7074626865671642,
            "main_score": 0.6469966722840385
        }
    },
    "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": 1432.3547935619315,
            "min_seq_length": 1207,
            "max_seq_length": 2360,
            "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": 1504.769123783032,
            "min_seq_length": 1185,
            "max_seq_length": 2154,
            "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": 1240.3772209567198,
            "min_seq_length": 1008,
            "max_seq_length": 1674,
            "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": 1338.5322712418301,
            "min_seq_length": 1319,
            "max_seq_length": 1402,
            "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": 1529.5322712418301,
            "min_seq_length": 1510,
            "max_seq_length": 1593,
            "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": 1467.8215384615385,
            "min_seq_length": 1422,
            "max_seq_length": 1564,
            "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": 1299.3878571428572,
            "min_seq_length": 1279,
            "max_seq_length": 1518,
            "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": 1696.4195064629848,
            "min_seq_length": 1666,
            "max_seq_length": 1728,
            "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": 1557.1537313432837,
            "min_seq_length": 1540,
            "max_seq_length": 1605,
            "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
    }
}