| { | |
| "config_general": { | |
| "start_date": "2024-02-13T08-04-57.866850", | |
| "start_time": 1707811498.9632728, | |
| "end_time": 1707818744.966118, | |
| "total_evaluation_time_seconds": 7246.002845287323, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 2, | |
| "accelerate_num_process": null, | |
| "model_sha": "3778b254def675586e9218ccb15b78d6ef66a3a7", | |
| "model_dtype": "bfloat16", | |
| "model_memory_footprint": 14868135936, | |
| "model_num_parameters": 7299846144, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:0", | |
| "batch_size": 8, | |
| "max_length": 4096, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "model_name": "xverse/XVERSE-7B", | |
| "job_id": 176, | |
| "model_id": "xverse/XVERSE-7B_eval_request_False_bfloat16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🟢 : pretrained", | |
| "model_architectures": "XverseForCausalLM", | |
| "submitted_time": "2024-02-05T23:07:39Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.3911103376513428, | |
| "all_grouped_npm": 0.14354842241540336, | |
| "all_grouped": { | |
| "enem_challenge": 0.5528341497550735, | |
| "bluex": 0.4102920723226704, | |
| "oab_exams": 0.3694760820045558, | |
| "assin2_rte": 0.41898754643009994, | |
| "assin2_sts": 0.11265884885309121, | |
| "faquad_nli": 0.5536234888632623, | |
| "sparrow_pt": 0.31990017533064596 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.5528341497550735, | |
| "harness|bluex|bluex|None|3": 0.4102920723226704, | |
| "harness|oab_exams|oab_exams|None|3": 0.3694760820045558, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.41898754643009994, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.11265884885309121, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.5536234888632623, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.06614752056481635, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.4114004586313189, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.4053633797228204, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.39668934240362813 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.5528341497550735, | |
| "acc,exam_id__2011": 0.5726495726495726, | |
| "acc,exam_id__2013": 0.5370370370370371, | |
| "acc,exam_id__2017": 0.5431034482758621, | |
| "acc,exam_id__2009": 0.5043478260869565, | |
| "acc,exam_id__2012": 0.5775862068965517, | |
| "acc,exam_id__2010": 0.5384615384615384, | |
| "acc,exam_id__2023": 0.5851851851851851, | |
| "acc,exam_id__2016": 0.512396694214876, | |
| "acc,exam_id__2022": 0.5714285714285714, | |
| "acc,exam_id__2015": 0.5462184873949579, | |
| "acc,exam_id__2014": 0.5871559633027523, | |
| "acc,exam_id__2016_2": 0.5528455284552846, | |
| "main_score": 0.5528341497550735 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.4102920723226704, | |
| "acc,exam_id__UNICAMP_2019": 0.32, | |
| "acc,exam_id__UNICAMP_2023": 0.5581395348837209, | |
| "acc,exam_id__UNICAMP_2021_1": 0.391304347826087, | |
| "acc,exam_id__UNICAMP_2021_2": 0.47058823529411764, | |
| "acc,exam_id__USP_2021": 0.38461538461538464, | |
| "acc,exam_id__UNICAMP_2024": 0.5111111111111111, | |
| "acc,exam_id__UNICAMP_2020": 0.45454545454545453, | |
| "acc,exam_id__USP_2023": 0.4090909090909091, | |
| "acc,exam_id__USP_2024": 0.4878048780487805, | |
| "acc,exam_id__UNICAMP_2018": 0.25925925925925924, | |
| "acc,exam_id__USP_2019": 0.325, | |
| "acc,exam_id__USP_2018": 0.3333333333333333, | |
| "acc,exam_id__USP_2020": 0.5, | |
| "acc,exam_id__UNICAMP_2022": 0.358974358974359, | |
| "acc,exam_id__USP_2022": 0.40816326530612246, | |
| "main_score": 0.4102920723226704 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.3694760820045558, | |
| "acc,exam_id__2017-23": 0.3625, | |
| "acc,exam_id__2010-01": 0.2823529411764706, | |
| "acc,exam_id__2014-14": 0.4375, | |
| "acc,exam_id__2013-11": 0.4375, | |
| "acc,exam_id__2011-03": 0.3333333333333333, | |
| "acc,exam_id__2014-15": 0.3333333333333333, | |
| "acc,exam_id__2011-04": 0.3375, | |
| "acc,exam_id__2015-16": 0.35, | |
| "acc,exam_id__2012-09": 0.2077922077922078, | |
| "acc,exam_id__2012-07": 0.3, | |
| "acc,exam_id__2018-25": 0.4, | |
| "acc,exam_id__2012-06": 0.3625, | |
| "acc,exam_id__2016-21": 0.4, | |
| "acc,exam_id__2016-20": 0.425, | |
| "acc,exam_id__2012-08": 0.3625, | |
| "acc,exam_id__2013-12": 0.3, | |
| "acc,exam_id__2012-06a": 0.3875, | |
| "acc,exam_id__2013-10": 0.3875, | |
| "acc,exam_id__2015-17": 0.5, | |
| "acc,exam_id__2014-13": 0.3625, | |
| "acc,exam_id__2016-20a": 0.35, | |
| "acc,exam_id__2015-18": 0.375, | |
| "acc,exam_id__2017-22": 0.475, | |
| "acc,exam_id__2011-05": 0.375, | |
| "acc,exam_id__2017-24": 0.3125, | |
| "acc,exam_id__2010-02": 0.42, | |
| "acc,exam_id__2016-19": 0.3974358974358974, | |
| "main_score": 0.3694760820045558 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "f1_macro,all": 0.41898754643009994, | |
| "acc,all": 0.5412581699346405, | |
| "main_score": 0.41898754643009994 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "pearson,all": 0.11265884885309121, | |
| "mse,all": 2.223476307189543, | |
| "main_score": 0.11265884885309121 | |
| }, | |
| "harness|faquad_nli|faquad_nli|None|15": { | |
| "f1_macro,all": 0.5536234888632623, | |
| "acc,all": 0.7553846153846154, | |
| "main_score": 0.5536234888632623 | |
| }, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
| "f1_macro,all": 0.06614752056481635, | |
| "acc,all": 0.132, | |
| "main_score": 0.06614752056481635 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "f1_macro,all": 0.4114004586313189, | |
| "acc,all": 0.654, | |
| "main_score": 0.4114004586313189 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "f1_macro,all": 0.4053633797228204, | |
| "acc,all": 0.46, | |
| "main_score": 0.4053633797228204 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.39668934240362813, | |
| "acc,all": 0.414, | |
| "main_score": 0.39668934240362813 | |
| } | |
| }, | |
| "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": 0, | |
| "non_truncated": 1429, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 2088.4933519944016, | |
| "min_seq_length": 1723, | |
| "max_seq_length": 3667, | |
| "max_ctx_length": 4064, | |
| "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": 1797.4937413073712, | |
| "min_seq_length": 1294, | |
| "max_seq_length": 2839, | |
| "max_ctx_length": 4064, | |
| "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": 1824.5257403189066, | |
| "min_seq_length": 1454, | |
| "max_seq_length": 2544, | |
| "max_ctx_length": 4064, | |
| "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": 1642.750816993464, | |
| "min_seq_length": 1614, | |
| "max_seq_length": 1737, | |
| "max_ctx_length": 4064, | |
| "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": 1772.750816993464, | |
| "min_seq_length": 1744, | |
| "max_seq_length": 1867, | |
| "max_ctx_length": 4064, | |
| "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": 2082.6569230769232, | |
| "min_seq_length": 2008, | |
| "max_seq_length": 2248, | |
| "max_ctx_length": 4064, | |
| "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": 2276.446, | |
| "min_seq_length": 2247, | |
| "max_seq_length": 2322, | |
| "max_ctx_length": 4064, | |
| "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": 2231.632, | |
| "min_seq_length": 2198, | |
| "max_seq_length": 2290, | |
| "max_ctx_length": 4064, | |
| "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": 2000.316, | |
| "min_seq_length": 1975, | |
| "max_seq_length": 2051, | |
| "max_ctx_length": 4064, | |
| "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": 2197.544, | |
| "min_seq_length": 2173, | |
| "max_seq_length": 2246, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| } | |
| }, | |
| "summary_general": { | |
| "truncated": 0, | |
| "non_truncated": 11889, | |
| "padded": 0, | |
| "non_padded": 11889, | |
| "fewshots_truncated": 0 | |
| } | |
| } |