| { | |
| "config_general": { | |
| "start_date": "2024-02-07T16-49-06.259210", | |
| "start_time": 1707324547.3333416, | |
| "end_time": 1707333593.8534558, | |
| "total_evaluation_time_seconds": 9046.520114183426, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "c292233c833e336628618a88a648727eb3dff0a7", | |
| "model_dtype": "float16", | |
| "model_memory_footprint": 41302337688, | |
| "model_num_parameters": 20554567680, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:2", | |
| "batch_size": 4, | |
| "max_length": 2048, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "model_name": "EleutherAI/gpt-neox-20b", | |
| "job_id": 78, | |
| "model_id": "EleutherAI/gpt-neox-20b_eval_request_False_float16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🟢 : pretrained", | |
| "model_architectures": "GPTNeoXForCausalLM", | |
| "submitted_time": "2024-02-05T23:12:26Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.2515800073606808, | |
| "all_grouped_npm": -0.053194066948652974, | |
| "all_grouped": { | |
| "enem_challenge": 0.20083974807557733, | |
| "bluex": 0.22531293463143254, | |
| "oab_exams": 0.2560364464692483, | |
| "assin2_rte": 0.3333333333333333, | |
| "assin2_sts": 0.1133653560992191, | |
| "faquad_nli": 0.4718588278919615, | |
| "sparrow_pt": 0.16031340502399352 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.20083974807557733, | |
| "harness|bluex|bluex|None|3": 0.22531293463143254, | |
| "harness|oab_exams|oab_exams|None|3": 0.2560364464692483, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.1133653560992191, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.4718588278919615, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.044877953161356725, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3993313700050113, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.0671462829736211, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.12989801395598496 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.20083974807557733, | |
| "acc,exam_id__2010": 0.21367521367521367, | |
| "acc,exam_id__2016_2": 0.2032520325203252, | |
| "acc,exam_id__2014": 0.1743119266055046, | |
| "acc,exam_id__2009": 0.11304347826086956, | |
| "acc,exam_id__2016": 0.23140495867768596, | |
| "acc,exam_id__2013": 0.2777777777777778, | |
| "acc,exam_id__2015": 0.2184873949579832, | |
| "acc,exam_id__2011": 0.20512820512820512, | |
| "acc,exam_id__2022": 0.21052631578947367, | |
| "acc,exam_id__2023": 0.16296296296296298, | |
| "acc,exam_id__2012": 0.1896551724137931, | |
| "acc,exam_id__2017": 0.21551724137931033, | |
| "main_score": 0.20083974807557733 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.22531293463143254, | |
| "acc,exam_id__UNICAMP_2021_1": 0.17391304347826086, | |
| "acc,exam_id__USP_2021": 0.21153846153846154, | |
| "acc,exam_id__USP_2024": 0.24390243902439024, | |
| "acc,exam_id__UNICAMP_2021_2": 0.3137254901960784, | |
| "acc,exam_id__UNICAMP_2023": 0.11627906976744186, | |
| "acc,exam_id__UNICAMP_2024": 0.2222222222222222, | |
| "acc,exam_id__USP_2019": 0.25, | |
| "acc,exam_id__UNICAMP_2018": 0.2777777777777778, | |
| "acc,exam_id__UNICAMP_2020": 0.2727272727272727, | |
| "acc,exam_id__USP_2020": 0.21428571428571427, | |
| "acc,exam_id__USP_2018": 0.18518518518518517, | |
| "acc,exam_id__UNICAMP_2022": 0.2564102564102564, | |
| "acc,exam_id__USP_2023": 0.18181818181818182, | |
| "acc,exam_id__UNICAMP_2019": 0.28, | |
| "acc,exam_id__USP_2022": 0.16326530612244897, | |
| "main_score": 0.22531293463143254 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.2560364464692483, | |
| "acc,exam_id__2010-01": 0.2823529411764706, | |
| "acc,exam_id__2014-14": 0.1875, | |
| "acc,exam_id__2011-04": 0.3, | |
| "acc,exam_id__2011-03": 0.24242424242424243, | |
| "acc,exam_id__2012-08": 0.275, | |
| "acc,exam_id__2016-19": 0.28205128205128205, | |
| "acc,exam_id__2013-12": 0.25, | |
| "acc,exam_id__2018-25": 0.175, | |
| "acc,exam_id__2015-16": 0.225, | |
| "acc,exam_id__2016-21": 0.225, | |
| "acc,exam_id__2013-11": 0.25, | |
| "acc,exam_id__2013-10": 0.2875, | |
| "acc,exam_id__2014-13": 0.3125, | |
| "acc,exam_id__2012-06a": 0.2625, | |
| "acc,exam_id__2012-09": 0.19480519480519481, | |
| "acc,exam_id__2014-15": 0.16666666666666666, | |
| "acc,exam_id__2017-24": 0.2875, | |
| "acc,exam_id__2012-07": 0.2875, | |
| "acc,exam_id__2017-23": 0.325, | |
| "acc,exam_id__2011-05": 0.2375, | |
| "acc,exam_id__2017-22": 0.2375, | |
| "acc,exam_id__2016-20": 0.2875, | |
| "acc,exam_id__2016-20a": 0.2625, | |
| "acc,exam_id__2015-18": 0.3125, | |
| "acc,exam_id__2015-17": 0.2692307692307692, | |
| "acc,exam_id__2012-06": 0.25, | |
| "acc,exam_id__2010-02": 0.24, | |
| "main_score": 0.2560364464692483 | |
| }, | |
| "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": 0.1133653560992191, | |
| "mse,all": 2.2920383986928106, | |
| "main_score": 0.1133653560992191 | |
| }, | |
| "harness|faquad_nli|faquad_nli|None|15": { | |
| "f1_macro,all": 0.4718588278919615, | |
| "acc,all": 0.7707692307692308, | |
| "main_score": 0.4718588278919615 | |
| }, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
| "f1_macro,all": 0.044877953161356725, | |
| "acc,all": 0.074, | |
| "main_score": 0.044877953161356725 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "f1_macro,all": 0.3993313700050113, | |
| "acc,all": 0.65, | |
| "main_score": 0.3993313700050113 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "f1_macro,all": 0.0671462829736211, | |
| "acc,all": 0.112, | |
| "main_score": 0.0671462829736211 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.12989801395598496, | |
| "acc,all": 0.242, | |
| "main_score": 0.12989801395598496 | |
| } | |
| }, | |
| "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": 15, | |
| "non_truncated": 1414, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 16, | |
| "mean_seq_length": 1542.0517844646606, | |
| "min_seq_length": 1291, | |
| "max_seq_length": 2503, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.9888033589923024 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "sample_size": 719, | |
| "truncated": 2, | |
| "non_truncated": 717, | |
| "padded": 0, | |
| "non_padded": 719, | |
| "fewshots_truncated": 2, | |
| "mean_seq_length": 1324.076495132128, | |
| "min_seq_length": 953, | |
| "max_seq_length": 2108, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.9972183588317107 | |
| }, | |
| "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": 1324.5503416856493, | |
| "min_seq_length": 1061, | |
| "max_seq_length": 1789, | |
| "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": 1259.0061274509803, | |
| "min_seq_length": 1236, | |
| "max_seq_length": 1325, | |
| "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": 1392.0061274509803, | |
| "min_seq_length": 1369, | |
| "max_seq_length": 1458, | |
| "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": 1540.8153846153846, | |
| "min_seq_length": 1487, | |
| "max_seq_length": 1650, | |
| "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": 1744.524, | |
| "min_seq_length": 1723, | |
| "max_seq_length": 1777, | |
| "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": 1716.684, | |
| "min_seq_length": 1693, | |
| "max_seq_length": 1754, | |
| "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": 1425.294, | |
| "min_seq_length": 1408, | |
| "max_seq_length": 1461, | |
| "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": 1577.602, | |
| "min_seq_length": 1560, | |
| "max_seq_length": 1607, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| } | |
| }, | |
| "summary_general": { | |
| "truncated": 17, | |
| "non_truncated": 11872, | |
| "padded": 0, | |
| "non_padded": 11889, | |
| "fewshots_truncated": 18 | |
| } | |
| } |