llm_pt_leaderboard_raw_results
/
TinyLlama
/TinyLlama-1.1B-intermediate-step-1431k-3T
/results_2024-02-06T12-34-30.170523.json
{ | |
"config_general": { | |
"start_date": "2024-02-06T12-34-30.170523", | |
"start_time": 1707222871.42545, | |
"end_time": 1707225017.3252542, | |
"total_evaluation_time_seconds": 2145.8998041152954, | |
"has_chat_template": false, | |
"chat_type": null, | |
"n_gpus": 1, | |
"accelerate_num_process": null, | |
"model_sha": "036fa4651240b9a1487f709833b9e4b96b4c1574", | |
"model_dtype": "float16", | |
"model_memory_footprint": 2211633920, | |
"model_num_parameters": 1100048384, | |
"model_is_loaded_in_4bit": false, | |
"model_is_loaded_in_8bit": false, | |
"model_is_quantized": null, | |
"model_device": "cuda:1", | |
"batch_size": 64, | |
"max_length": 2048, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"model_name": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T", | |
"job_id": 9, | |
"model_id": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T_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": "2024-02-05T22:59:37Z", | |
"lm_eval_model_type": "huggingface", | |
"eval_version": "1.0.0" | |
}, | |
"results": { | |
"all_grouped_average": 0.24488991020078849, | |
"all_grouped": { | |
"enem_challenge": 0.2106368089573128, | |
"bluex": 0.24339360222531292, | |
"oab_exams": 0.2428246013667426, | |
"assin2_rte": 0.3333333333333333, | |
"assin2_sts": 0.051508356565052746, | |
"faquad_nli": 0.4396551724137931, | |
"sparrow_pt": 0.19287749654397185 | |
}, | |
"all": { | |
"harness|enem_challenge|enem_challenge|None|3": 0.2106368089573128, | |
"harness|bluex|bluex|None|3": 0.24339360222531292, | |
"harness|oab_exams|oab_exams|None|3": 0.2428246013667426, | |
"harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333, | |
"harness|assin2_sts|assin2_sts|None|15": 0.051508356565052746, | |
"harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931, | |
"harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.011767568520477278, | |
"harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3985620164575303, | |
"harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.10672681228236784, | |
"harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.254453588915512 | |
}, | |
"harness|enem_challenge|enem_challenge|None|3": { | |
"acc,all": 0.2106368089573128, | |
"acc,exam_id__2013": 0.21296296296296297, | |
"acc,exam_id__2023": 0.1925925925925926, | |
"acc,exam_id__2015": 0.20168067226890757, | |
"acc,exam_id__2022": 0.16541353383458646, | |
"acc,exam_id__2009": 0.21739130434782608, | |
"acc,exam_id__2011": 0.19658119658119658, | |
"acc,exam_id__2012": 0.19827586206896552, | |
"acc,exam_id__2017": 0.23275862068965517, | |
"acc,exam_id__2016": 0.2231404958677686, | |
"acc,exam_id__2010": 0.28205128205128205, | |
"acc,exam_id__2016_2": 0.17886178861788618, | |
"acc,exam_id__2014": 0.23853211009174313, | |
"main_score": 0.2106368089573128 | |
}, | |
"harness|bluex|bluex|None|3": { | |
"acc,all": 0.24339360222531292, | |
"acc,exam_id__USP_2019": 0.175, | |
"acc,exam_id__USP_2020": 0.21428571428571427, | |
"acc,exam_id__USP_2023": 0.25, | |
"acc,exam_id__UNICAMP_2021_1": 0.10869565217391304, | |
"acc,exam_id__USP_2018": 0.2222222222222222, | |
"acc,exam_id__USP_2024": 0.2926829268292683, | |
"acc,exam_id__UNICAMP_2019": 0.28, | |
"acc,exam_id__USP_2022": 0.10204081632653061, | |
"acc,exam_id__UNICAMP_2018": 0.35185185185185186, | |
"acc,exam_id__UNICAMP_2023": 0.27906976744186046, | |
"acc,exam_id__UNICAMP_2022": 0.28205128205128205, | |
"acc,exam_id__UNICAMP_2024": 0.2222222222222222, | |
"acc,exam_id__UNICAMP_2021_2": 0.35294117647058826, | |
"acc,exam_id__UNICAMP_2020": 0.2727272727272727, | |
"acc,exam_id__USP_2021": 0.23076923076923078, | |
"main_score": 0.24339360222531292 | |
}, | |
"harness|oab_exams|oab_exams|None|3": { | |
"acc,all": 0.2428246013667426, | |
"acc,exam_id__2016-19": 0.23076923076923078, | |
"acc,exam_id__2011-05": 0.1875, | |
"acc,exam_id__2017-24": 0.2125, | |
"acc,exam_id__2015-17": 0.21794871794871795, | |
"acc,exam_id__2012-09": 0.19480519480519481, | |
"acc,exam_id__2013-10": 0.225, | |
"acc,exam_id__2017-22": 0.2875, | |
"acc,exam_id__2015-18": 0.225, | |
"acc,exam_id__2016-20a": 0.2625, | |
"acc,exam_id__2010-01": 0.3058823529411765, | |
"acc,exam_id__2011-04": 0.3, | |
"acc,exam_id__2013-11": 0.2625, | |
"acc,exam_id__2018-25": 0.2875, | |
"acc,exam_id__2012-06a": 0.25, | |
"acc,exam_id__2012-08": 0.25, | |
"acc,exam_id__2016-20": 0.25, | |
"acc,exam_id__2012-07": 0.225, | |
"acc,exam_id__2011-03": 0.2222222222222222, | |
"acc,exam_id__2014-15": 0.28205128205128205, | |
"acc,exam_id__2010-02": 0.26, | |
"acc,exam_id__2013-12": 0.25, | |
"acc,exam_id__2016-21": 0.2375, | |
"acc,exam_id__2014-13": 0.225, | |
"acc,exam_id__2015-16": 0.2375, | |
"acc,exam_id__2014-14": 0.25, | |
"acc,exam_id__2012-06": 0.2, | |
"acc,exam_id__2017-23": 0.2125, | |
"main_score": 0.2428246013667426 | |
}, | |
"harness|assin2_rte|assin2_rte|None|15": { | |
"f1_macro,all": 0.3333333333333333, | |
"acc,all": 0.5, | |
"main_score": 0.3333333333333333 | |
}, | |
"harness|assin2_sts|assin2_sts|None|15": { | |
"pearson,all": 0.051508356565052746, | |
"mse,all": 1.9085457516339872, | |
"main_score": 0.051508356565052746 | |
}, | |
"harness|faquad_nli|faquad_nli|None|15": { | |
"f1_macro,all": 0.4396551724137931, | |
"acc,all": 0.7846153846153846, | |
"main_score": 0.4396551724137931 | |
}, | |
"harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
"f1_macro,all": 0.011767568520477278, | |
"acc,all": 0.052, | |
"main_score": 0.011767568520477278 | |
}, | |
"harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
"f1_macro,all": 0.3985620164575303, | |
"acc,all": 0.648, | |
"main_score": 0.3985620164575303 | |
}, | |
"harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
"f1_macro,all": 0.10672681228236784, | |
"acc,all": 0.154, | |
"main_score": 0.10672681228236784 | |
}, | |
"harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
"f1_macro,all": 0.254453588915512, | |
"acc,all": 0.31, | |
"main_score": 0.254453588915512 | |
} | |
}, | |
"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": 12, | |
"non_truncated": 1417, | |
"padded": 0, | |
"non_padded": 1429, | |
"fewshots_truncated": 14, | |
"mean_seq_length": 1532.9881035689293, | |
"min_seq_length": 1280, | |
"max_seq_length": 2572, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"mean_original_fewshots_size": 3.0, | |
"mean_effective_fewshot_size": 2.9902029391182645 | |
}, | |
"harness|bluex|bluex|None|3": { | |
"sample_size": 719, | |
"truncated": 4, | |
"non_truncated": 715, | |
"padded": 0, | |
"non_padded": 719, | |
"fewshots_truncated": 4, | |
"mean_seq_length": 1364.7426981919332, | |
"min_seq_length": 998, | |
"max_seq_length": 2124, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"mean_original_fewshots_size": 3.0, | |
"mean_effective_fewshot_size": 2.9944367176634215 | |
}, | |
"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": 2016, | |
"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": 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": 1415.9889705882354, | |
"min_seq_length": 1393, | |
"max_seq_length": 1482, | |
"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": 1473.1184615384616, | |
"min_seq_length": 1421, | |
"max_seq_length": 1580, | |
"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": 1696.204, | |
"min_seq_length": 1674, | |
"max_seq_length": 1744, | |
"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": 1708.588, | |
"min_seq_length": 1684, | |
"max_seq_length": 1767, | |
"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": 1422.44, | |
"min_seq_length": 1405, | |
"max_seq_length": 1458, | |
"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": 1573.854, | |
"min_seq_length": 1556, | |
"max_seq_length": 1605, | |
"max_ctx_length": 2016, | |
"max_gen_toks": 32, | |
"mean_original_fewshots_size": 25.0, | |
"mean_effective_fewshot_size": 25.0 | |
} | |
}, | |
"summary_general": { | |
"truncated": 16, | |
"non_truncated": 11873, | |
"padded": 0, | |
"non_padded": 11889, | |
"fewshots_truncated": 18 | |
} | |
} |