llm_pt_leaderboard_results
/
openlm-research
/open_llama_13b
/results_2024-02-16T11-22-43.611615.json
{ | |
"config_general": { | |
"start_date": "2024-02-16T11-22-43.611615", | |
"start_time": 1708082564.1563263, | |
"end_time": 1708087290.636519, | |
"total_evaluation_time_seconds": 4726.480192661285, | |
"has_chat_template": false, | |
"chat_type": null, | |
"n_gpus": 1, | |
"accelerate_num_process": null, | |
"model_sha": "b6d7fde8392250730d24cc2fcfa3b7e5f9a03ce8", | |
"model_dtype": "float16", | |
"model_memory_footprint": 26073681920, | |
"model_num_parameters": 13015864320, | |
"model_is_loaded_in_4bit": false, | |
"model_is_loaded_in_8bit": false, | |
"model_is_quantized": null, | |
"model_device": "cuda:0", | |
"batch_size": 16, | |
"max_length": 2048, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"model_name": "openlm-research/open_llama_13b", | |
"job_id": 211, | |
"model_id": "openlm-research/open_llama_13b_eval_request_False_float16_Original", | |
"model_base_model": "", | |
"model_weight_type": "Original", | |
"model_revision": "main", | |
"model_private": false, | |
"model_type": "🟢 : pretrained", | |
"model_architectures": "LlamaForCausalLM", | |
"submitted_time": "2024-02-11T13:34:32Z", | |
"lm_eval_model_type": "huggingface", | |
"eval_version": "1.0.0" | |
}, | |
"results": { | |
"all_grouped_average": 0.3282598774304373, | |
"all_grouped_npm": 0.06845873218970613, | |
"all_grouped": { | |
"enem_challenge": 0.2939118264520644, | |
"bluex": 0.2670375521557719, | |
"oab_exams": 0.2806378132118451, | |
"assin2_rte": 0.5467070837305316, | |
"assin2_sts": 0.12834096349450685, | |
"faquad_nli": 0.4611447520184544, | |
"sparrow_pt": 0.32003915094988666 | |
}, | |
"all": { | |
"harness|enem_challenge|enem_challenge|None|3": 0.2939118264520644, | |
"harness|bluex|bluex|None|3": 0.2670375521557719, | |
"harness|oab_exams|oab_exams|None|3": 0.2806378132118451, | |
"harness|assin2_rte|assin2_rte|None|15": 0.5467070837305316, | |
"harness|assin2_sts|assin2_sts|None|15": 0.12834096349450685, | |
"harness|faquad_nli|faquad_nli|None|15": 0.4611447520184544, | |
"harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.061697437895551224, | |
"harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3932038834951456, | |
"harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.4927093154669146, | |
"harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.33254596694193517 | |
}, | |
"harness|enem_challenge|enem_challenge|None|3": { | |
"acc,all": 0.2939118264520644, | |
"acc,exam_id__2015": 0.2857142857142857, | |
"acc,exam_id__2012": 0.3017241379310345, | |
"acc,exam_id__2017": 0.3448275862068966, | |
"acc,exam_id__2009": 0.30434782608695654, | |
"acc,exam_id__2023": 0.2814814814814815, | |
"acc,exam_id__2016_2": 0.3252032520325203, | |
"acc,exam_id__2010": 0.26495726495726496, | |
"acc,exam_id__2014": 0.29357798165137616, | |
"acc,exam_id__2013": 0.2037037037037037, | |
"acc,exam_id__2022": 0.3383458646616541, | |
"acc,exam_id__2011": 0.3162393162393162, | |
"acc,exam_id__2016": 0.256198347107438, | |
"main_score": 0.2939118264520644 | |
}, | |
"harness|bluex|bluex|None|3": { | |
"acc,all": 0.2670375521557719, | |
"acc,exam_id__UNICAMP_2022": 0.358974358974359, | |
"acc,exam_id__UNICAMP_2019": 0.24, | |
"acc,exam_id__UNICAMP_2023": 0.3488372093023256, | |
"acc,exam_id__UNICAMP_2018": 0.2037037037037037, | |
"acc,exam_id__UNICAMP_2020": 0.2727272727272727, | |
"acc,exam_id__USP_2024": 0.07317073170731707, | |
"acc,exam_id__UNICAMP_2021_2": 0.29411764705882354, | |
"acc,exam_id__USP_2022": 0.2653061224489796, | |
"acc,exam_id__USP_2019": 0.4, | |
"acc,exam_id__USP_2021": 0.1346153846153846, | |
"acc,exam_id__USP_2023": 0.2727272727272727, | |
"acc,exam_id__UNICAMP_2021_1": 0.3695652173913043, | |
"acc,exam_id__UNICAMP_2024": 0.3111111111111111, | |
"acc,exam_id__USP_2020": 0.2857142857142857, | |
"acc,exam_id__USP_2018": 0.2222222222222222, | |
"main_score": 0.2670375521557719 | |
}, | |
"harness|oab_exams|oab_exams|None|3": { | |
"acc,all": 0.2806378132118451, | |
"acc,exam_id__2012-06a": 0.2875, | |
"acc,exam_id__2015-17": 0.34615384615384615, | |
"acc,exam_id__2012-06": 0.225, | |
"acc,exam_id__2014-15": 0.3076923076923077, | |
"acc,exam_id__2016-20": 0.2875, | |
"acc,exam_id__2013-10": 0.2375, | |
"acc,exam_id__2012-07": 0.225, | |
"acc,exam_id__2011-03": 0.2727272727272727, | |
"acc,exam_id__2011-05": 0.2625, | |
"acc,exam_id__2016-19": 0.34615384615384615, | |
"acc,exam_id__2017-23": 0.25, | |
"acc,exam_id__2017-22": 0.375, | |
"acc,exam_id__2018-25": 0.275, | |
"acc,exam_id__2014-13": 0.325, | |
"acc,exam_id__2017-24": 0.3875, | |
"acc,exam_id__2010-01": 0.2823529411764706, | |
"acc,exam_id__2014-14": 0.25, | |
"acc,exam_id__2011-04": 0.3125, | |
"acc,exam_id__2013-12": 0.275, | |
"acc,exam_id__2015-16": 0.2125, | |
"acc,exam_id__2016-21": 0.2625, | |
"acc,exam_id__2013-11": 0.2125, | |
"acc,exam_id__2012-08": 0.25, | |
"acc,exam_id__2016-20a": 0.2375, | |
"acc,exam_id__2012-09": 0.24675324675324675, | |
"acc,exam_id__2010-02": 0.3, | |
"acc,exam_id__2015-18": 0.325, | |
"main_score": 0.2806378132118451 | |
}, | |
"harness|assin2_rte|assin2_rte|None|15": { | |
"f1_macro,all": 0.5467070837305316, | |
"acc,all": 0.6139705882352942, | |
"main_score": 0.5467070837305316 | |
}, | |
"harness|assin2_sts|assin2_sts|None|15": { | |
"pearson,all": 0.12834096349450685, | |
"mse,all": 2.67873774509804, | |
"main_score": 0.12834096349450685 | |
}, | |
"harness|faquad_nli|faquad_nli|None|15": { | |
"f1_macro,all": 0.4611447520184544, | |
"acc,all": 0.7876923076923077, | |
"main_score": 0.4611447520184544 | |
}, | |
"harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
"f1_macro,all": 0.061697437895551224, | |
"acc,all": 0.104, | |
"main_score": 0.061697437895551224 | |
}, | |
"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": 0.4927093154669146, | |
"acc,all": 0.668, | |
"main_score": 0.4927093154669146 | |
}, | |
"harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
"f1_macro,all": 0.33254596694193517, | |
"acc,all": 0.36, | |
"main_score": 0.33254596694193517 | |
} | |
}, | |
"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": 133, | |
"non_truncated": 1296, | |
"padded": 0, | |
"non_padded": 1429, | |
"fewshots_truncated": 138, | |
"mean_seq_length": 1771.555633310007, | |
"min_seq_length": 1470, | |
"max_seq_length": 2861, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"mean_original_fewshots_size": 3.0, | |
"mean_effective_fewshot_size": 2.903428971308607 | |
}, | |
"harness|bluex|bluex|None|3": { | |
"sample_size": 719, | |
"truncated": 13, | |
"non_truncated": 706, | |
"padded": 0, | |
"non_padded": 719, | |
"fewshots_truncated": 13, | |
"mean_seq_length": 1490.3643949930458, | |
"min_seq_length": 1077, | |
"max_seq_length": 2364, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"mean_original_fewshots_size": 3.0, | |
"mean_effective_fewshot_size": 2.9819193324061195 | |
}, | |
"harness|oab_exams|oab_exams|None|3": { | |
"sample_size": 2195, | |
"truncated": 1, | |
"non_truncated": 2194, | |
"padded": 0, | |
"non_padded": 2195, | |
"fewshots_truncated": 1, | |
"mean_seq_length": 1527.2555808656036, | |
"min_seq_length": 1226, | |
"max_seq_length": 2078, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"mean_original_fewshots_size": 3.0, | |
"mean_effective_fewshot_size": 2.9995444191343963 | |
}, | |
"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": 1377.0273692810458, | |
"min_seq_length": 1352, | |
"max_seq_length": 1446, | |
"max_ctx_length": 2016, | |
"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": 1544.0273692810458, | |
"min_seq_length": 1519, | |
"max_seq_length": 1613, | |
"max_ctx_length": 2016, | |
"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": 1727.9384615384615, | |
"min_seq_length": 1666, | |
"max_seq_length": 1858, | |
"max_ctx_length": 2016, | |
"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": 1858.966, | |
"min_seq_length": 1834, | |
"max_seq_length": 1909, | |
"max_ctx_length": 2016, | |
"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": 1851.432, | |
"min_seq_length": 1825, | |
"max_seq_length": 1897, | |
"max_ctx_length": 2016, | |
"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": 1556.884, | |
"min_seq_length": 1538, | |
"max_seq_length": 1596, | |
"max_ctx_length": 2016, | |
"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": 1733.148, | |
"min_seq_length": 1713, | |
"max_seq_length": 1767, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"mean_original_fewshots_size": 25.0, | |
"mean_effective_fewshot_size": 25.0 | |
} | |
}, | |
"summary_general": { | |
"truncated": 147, | |
"non_truncated": 11742, | |
"padded": 0, | |
"non_padded": 11889, | |
"fewshots_truncated": 152 | |
} | |
} |