| { | |
| "config_general": { | |
| "start_date": "2024-02-09T20-57-09.165430", | |
| "start_time": 1707512230.0734339, | |
| "end_time": 1707514812.270473, | |
| "total_evaluation_time_seconds": 2582.19703912735, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "ef3c5c9c57b252f3149c1408daf4d649ec8b6c85", | |
| "model_dtype": "bfloat16", | |
| "model_memory_footprint": 15444746368, | |
| "model_num_parameters": 7721324544, | |
| "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": "Qwen/Qwen-7B", | |
| "job_id": 133, | |
| "model_id": "Qwen/Qwen-7B_eval_request_False_bfloat16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🟢 : pretrained", | |
| "model_architectures": "QWenLMHeadModel", | |
| "submitted_time": "2024-02-05T23:07:22Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.4591724275662849, | |
| "all_grouped_npm": 0.25673477302146, | |
| "all_grouped": { | |
| "enem_challenge": 0.5528341497550735, | |
| "bluex": 0.45897079276773295, | |
| "oab_exams": 0.38496583143507973, | |
| "assin2_rte": 0.8091756669435983, | |
| "assin2_sts": 0.24412106004029266, | |
| "faquad_nli": 0.4396551724137931, | |
| "sparrow_pt": 0.32448431960842444 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.5528341497550735, | |
| "harness|bluex|bluex|None|3": 0.45897079276773295, | |
| "harness|oab_exams|oab_exams|None|3": 0.38496583143507973, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.8091756669435983, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.24412106004029266, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.05374549778797191, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.4105691056910569, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.49081190112071127, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.3428107738339576 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.5528341497550735, | |
| "acc,exam_id__2009": 0.5565217391304348, | |
| "acc,exam_id__2017": 0.5431034482758621, | |
| "acc,exam_id__2010": 0.49572649572649574, | |
| "acc,exam_id__2012": 0.5344827586206896, | |
| "acc,exam_id__2023": 0.6296296296296297, | |
| "acc,exam_id__2022": 0.5263157894736842, | |
| "acc,exam_id__2013": 0.5277777777777778, | |
| "acc,exam_id__2011": 0.6153846153846154, | |
| "acc,exam_id__2015": 0.5378151260504201, | |
| "acc,exam_id__2016_2": 0.5447154471544715, | |
| "acc,exam_id__2014": 0.5688073394495413, | |
| "acc,exam_id__2016": 0.5454545454545454, | |
| "main_score": 0.5528341497550735 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.45897079276773295, | |
| "acc,exam_id__USP_2019": 0.425, | |
| "acc,exam_id__UNICAMP_2018": 0.3888888888888889, | |
| "acc,exam_id__UNICAMP_2020": 0.38181818181818183, | |
| "acc,exam_id__USP_2018": 0.2962962962962963, | |
| "acc,exam_id__UNICAMP_2021_2": 0.37254901960784315, | |
| "acc,exam_id__USP_2023": 0.5, | |
| "acc,exam_id__USP_2022": 0.4489795918367347, | |
| "acc,exam_id__UNICAMP_2023": 0.5116279069767442, | |
| "acc,exam_id__UNICAMP_2019": 0.56, | |
| "acc,exam_id__UNICAMP_2021_1": 0.43478260869565216, | |
| "acc,exam_id__UNICAMP_2024": 0.5777777777777777, | |
| "acc,exam_id__USP_2024": 0.6341463414634146, | |
| "acc,exam_id__USP_2021": 0.34615384615384615, | |
| "acc,exam_id__USP_2020": 0.5357142857142857, | |
| "acc,exam_id__UNICAMP_2022": 0.5641025641025641, | |
| "main_score": 0.45897079276773295 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.38496583143507973, | |
| "acc,exam_id__2018-25": 0.3875, | |
| "acc,exam_id__2014-15": 0.47435897435897434, | |
| "acc,exam_id__2012-07": 0.4, | |
| "acc,exam_id__2010-01": 0.4470588235294118, | |
| "acc,exam_id__2017-22": 0.425, | |
| "acc,exam_id__2016-21": 0.3125, | |
| "acc,exam_id__2012-06a": 0.4375, | |
| "acc,exam_id__2011-03": 0.3434343434343434, | |
| "acc,exam_id__2013-12": 0.45, | |
| "acc,exam_id__2012-08": 0.35, | |
| "acc,exam_id__2010-02": 0.38, | |
| "acc,exam_id__2016-20a": 0.3, | |
| "acc,exam_id__2015-16": 0.3625, | |
| "acc,exam_id__2013-11": 0.35, | |
| "acc,exam_id__2016-19": 0.34615384615384615, | |
| "acc,exam_id__2017-23": 0.4, | |
| "acc,exam_id__2017-24": 0.375, | |
| "acc,exam_id__2015-17": 0.4358974358974359, | |
| "acc,exam_id__2016-20": 0.45, | |
| "acc,exam_id__2015-18": 0.375, | |
| "acc,exam_id__2012-06": 0.4125, | |
| "acc,exam_id__2011-05": 0.3, | |
| "acc,exam_id__2011-04": 0.4, | |
| "acc,exam_id__2014-13": 0.375, | |
| "acc,exam_id__2014-14": 0.3375, | |
| "acc,exam_id__2013-10": 0.4125, | |
| "acc,exam_id__2012-09": 0.36363636363636365, | |
| "main_score": 0.38496583143507973 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "f1_macro,all": 0.8091756669435983, | |
| "acc,all": 0.8137254901960784, | |
| "main_score": 0.8091756669435983 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "pearson,all": 0.24412106004029266, | |
| "mse,all": 1.892863562091503, | |
| "main_score": 0.24412106004029266 | |
| }, | |
| "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": 0.05374549778797191, | |
| "acc,all": 0.11, | |
| "main_score": 0.05374549778797191 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "f1_macro,all": 0.4105691056910569, | |
| "acc,all": 0.652, | |
| "main_score": 0.4105691056910569 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "f1_macro,all": 0.49081190112071127, | |
| "acc,all": 0.666, | |
| "main_score": 0.49081190112071127 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.3428107738339576, | |
| "acc,all": 0.378, | |
| "main_score": 0.3428107738339576 | |
| } | |
| }, | |
| "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": 1357.7809657102869, | |
| "min_seq_length": 1127, | |
| "max_seq_length": 2318, | |
| "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": 1195.2378303198886, | |
| "min_seq_length": 875, | |
| "max_seq_length": 1846, | |
| "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": 1146.888382687927, | |
| "min_seq_length": 917, | |
| "max_seq_length": 1560, | |
| "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": 1076.2818627450981, | |
| "min_seq_length": 1057, | |
| "max_seq_length": 1138, | |
| "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": 1290.2818627450981, | |
| "min_seq_length": 1271, | |
| "max_seq_length": 1352, | |
| "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": 1253.6876923076923, | |
| "min_seq_length": 1209, | |
| "max_seq_length": 1349, | |
| "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": 1395.658, | |
| "min_seq_length": 1377, | |
| "max_seq_length": 1422, | |
| "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": 1370.8, | |
| "min_seq_length": 1349, | |
| "max_seq_length": 1409, | |
| "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": 1231.782, | |
| "min_seq_length": 1217, | |
| "max_seq_length": 1268, | |
| "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": 1371.206, | |
| "min_seq_length": 1356, | |
| "max_seq_length": 1401, | |
| "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 | |
| } | |
| } |