| { | |
| "config_general": { | |
| "start_date": "2024-02-14T20-42-35.885763", | |
| "start_time": 1707943356.4398627, | |
| "end_time": 1707945781.4752982, | |
| "total_evaluation_time_seconds": 2425.035435438156, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "dbe59a7f4a88d01d1ba9798d78dbe3fe038792c8", | |
| "model_dtype": "float16", | |
| "model_memory_footprint": 2731814960, | |
| "model_num_parameters": 1315575808, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:0", | |
| "batch_size": 32, | |
| "max_length": 2048, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "model_name": "EleutherAI/gpt-neo-1.3B", | |
| "job_id": 201, | |
| "model_id": "EleutherAI/gpt-neo-1.3B_eval_request_False_float16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🟢 : pretrained", | |
| "model_architectures": "GPTNeoForCausalLM", | |
| "submitted_time": "2024-02-05T23:12:06Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.23587068677639625, | |
| "all_grouped_npm": -0.07015978644825559, | |
| "all_grouped": { | |
| "enem_challenge": 0.19034289713086075, | |
| "bluex": 0.20445062586926285, | |
| "oab_exams": 0.23462414578587698, | |
| "assin2_rte": 0.3333333333333333, | |
| "assin2_sts": 0.0070782273697892, | |
| "faquad_nli": 0.4396551724137931, | |
| "sparrow_pt": 0.24161040553185745 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.19034289713086075, | |
| "harness|bluex|bluex|None|3": 0.20445062586926285, | |
| "harness|oab_exams|oab_exams|None|3": 0.23462414578587698, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.0070782273697892, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.017389478697921214, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.511469062751114, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.20418895312190466, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.23339412755648992 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.19034289713086075, | |
| "acc,exam_id__2015": 0.20168067226890757, | |
| "acc,exam_id__2012": 0.1724137931034483, | |
| "acc,exam_id__2017": 0.14655172413793102, | |
| "acc,exam_id__2009": 0.1565217391304348, | |
| "acc,exam_id__2023": 0.16296296296296298, | |
| "acc,exam_id__2016_2": 0.2032520325203252, | |
| "acc,exam_id__2010": 0.20512820512820512, | |
| "acc,exam_id__2014": 0.22018348623853212, | |
| "acc,exam_id__2013": 0.21296296296296297, | |
| "acc,exam_id__2022": 0.19548872180451127, | |
| "acc,exam_id__2011": 0.19658119658119658, | |
| "acc,exam_id__2016": 0.21487603305785125, | |
| "main_score": 0.19034289713086075 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.20445062586926285, | |
| "acc,exam_id__UNICAMP_2022": 0.1794871794871795, | |
| "acc,exam_id__UNICAMP_2019": 0.18, | |
| "acc,exam_id__UNICAMP_2023": 0.32558139534883723, | |
| "acc,exam_id__UNICAMP_2018": 0.2222222222222222, | |
| "acc,exam_id__UNICAMP_2020": 0.21818181818181817, | |
| "acc,exam_id__USP_2024": 0.12195121951219512, | |
| "acc,exam_id__UNICAMP_2021_2": 0.1568627450980392, | |
| "acc,exam_id__USP_2022": 0.1836734693877551, | |
| "acc,exam_id__USP_2019": 0.225, | |
| "acc,exam_id__USP_2021": 0.19230769230769232, | |
| "acc,exam_id__USP_2023": 0.18181818181818182, | |
| "acc,exam_id__UNICAMP_2021_1": 0.2391304347826087, | |
| "acc,exam_id__UNICAMP_2024": 0.26666666666666666, | |
| "acc,exam_id__USP_2020": 0.25, | |
| "acc,exam_id__USP_2018": 0.12962962962962962, | |
| "main_score": 0.20445062586926285 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.23462414578587698, | |
| "acc,exam_id__2012-06a": 0.2375, | |
| "acc,exam_id__2015-17": 0.23076923076923078, | |
| "acc,exam_id__2012-06": 0.2125, | |
| "acc,exam_id__2014-15": 0.16666666666666666, | |
| "acc,exam_id__2016-20": 0.2375, | |
| "acc,exam_id__2013-10": 0.175, | |
| "acc,exam_id__2012-07": 0.2625, | |
| "acc,exam_id__2011-03": 0.2828282828282828, | |
| "acc,exam_id__2011-05": 0.1875, | |
| "acc,exam_id__2016-19": 0.23076923076923078, | |
| "acc,exam_id__2017-23": 0.2125, | |
| "acc,exam_id__2017-22": 0.2125, | |
| "acc,exam_id__2018-25": 0.2875, | |
| "acc,exam_id__2014-13": 0.2125, | |
| "acc,exam_id__2017-24": 0.2375, | |
| "acc,exam_id__2010-01": 0.21176470588235294, | |
| "acc,exam_id__2014-14": 0.2125, | |
| "acc,exam_id__2011-04": 0.275, | |
| "acc,exam_id__2013-12": 0.2375, | |
| "acc,exam_id__2015-16": 0.3125, | |
| "acc,exam_id__2016-21": 0.2125, | |
| "acc,exam_id__2013-11": 0.175, | |
| "acc,exam_id__2012-08": 0.225, | |
| "acc,exam_id__2016-20a": 0.2875, | |
| "acc,exam_id__2012-09": 0.2727272727272727, | |
| "acc,exam_id__2010-02": 0.26, | |
| "acc,exam_id__2015-18": 0.25, | |
| "main_score": 0.23462414578587698 | |
| }, | |
| "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": 0.0070782273697892, | |
| "mse,all": 2.400126633986928, | |
| "main_score": 0.0070782273697892 | |
| }, | |
| "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": 0.017389478697921214, | |
| "acc,all": 0.09, | |
| "main_score": 0.017389478697921214 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "f1_macro,all": 0.511469062751114, | |
| "acc,all": 0.572, | |
| "main_score": 0.511469062751114 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "f1_macro,all": 0.20418895312190466, | |
| "acc,all": 0.292, | |
| "main_score": 0.20418895312190466 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.23339412755648992, | |
| "acc,all": 0.402, | |
| "main_score": 0.23339412755648992 | |
| } | |
| }, | |
| "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": 137, | |
| "non_truncated": 1292, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 145, | |
| "mean_seq_length": 1774.3967809657104, | |
| "min_seq_length": 1481, | |
| "max_seq_length": 2742, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.8985304408677397 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "sample_size": 719, | |
| "truncated": 9, | |
| "non_truncated": 710, | |
| "padded": 0, | |
| "non_padded": 719, | |
| "fewshots_truncated": 9, | |
| "mean_seq_length": 1434.2475660639777, | |
| "min_seq_length": 1020, | |
| "max_seq_length": 2317, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.987482614742698 | |
| }, | |
| "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": 1530.2646924829157, | |
| "min_seq_length": 1225, | |
| "max_seq_length": 2105, | |
| "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": 1344.483660130719, | |
| "min_seq_length": 1319, | |
| "max_seq_length": 1422, | |
| "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": 1477.483660130719, | |
| "min_seq_length": 1452, | |
| "max_seq_length": 1555, | |
| "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": 1713.283076923077, | |
| "min_seq_length": 1651, | |
| "max_seq_length": 1857, | |
| "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": 1837.336, | |
| "min_seq_length": 1813, | |
| "max_seq_length": 1878, | |
| "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": 1824.748, | |
| "min_seq_length": 1799, | |
| "max_seq_length": 1858, | |
| "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": 1551.478, | |
| "min_seq_length": 1533, | |
| "max_seq_length": 1588, | |
| "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": 1723.772, | |
| "min_seq_length": 1705, | |
| "max_seq_length": 1758, | |
| "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": 155 | |
| } | |
| } |