| { | |
| "config_general": { | |
| "start_date": "2024-02-07T01-17-14.803861", | |
| "start_time": 1707268637.1606455, | |
| "end_time": 1707270556.9489048, | |
| "total_evaluation_time_seconds": 1919.788259267807, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "cc72a88036c2fb937d65efeacc57a0c2ef5d6fe5", | |
| "model_dtype": "float16", | |
| "model_memory_footprint": 3444817920, | |
| "model_num_parameters": 1722408960, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:1", | |
| "batch_size": 16, | |
| "max_length": 2048, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "model_name": "bigscience/bloom-1b7", | |
| "job_id": 26, | |
| "model_id": "bigscience/bloom-1b7_eval_request_False_float16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🟢 : pretrained", | |
| "model_architectures": "BloomForCausalLM", | |
| "submitted_time": "2024-02-05T23:04:30Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.23561558006238054, | |
| "all_grouped_npm": -0.07152931770105994, | |
| "all_grouped": { | |
| "enem_challenge": 0.1966410076976907, | |
| "bluex": 0.23087621696801114, | |
| "oab_exams": 0.2428246013667426, | |
| "assin2_rte": 0.3378561857199312, | |
| "assin2_sts": 0.017927392336598496, | |
| "faquad_nli": 0.4396551724137931, | |
| "sparrow_pt": 0.1835284839338963 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.1966410076976907, | |
| "harness|bluex|bluex|None|3": 0.23087621696801114, | |
| "harness|oab_exams|oab_exams|None|3": 0.2428246013667426, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.3378561857199312, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.017927392336598496, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.048302336566881446, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3932038834951456, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.09875428777757718, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.19385342789598106 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.1966410076976907, | |
| "acc,exam_id__2016_2": 0.17073170731707318, | |
| "acc,exam_id__2016": 0.24793388429752067, | |
| "acc,exam_id__2010": 0.17094017094017094, | |
| "acc,exam_id__2014": 0.1743119266055046, | |
| "acc,exam_id__2023": 0.2222222222222222, | |
| "acc,exam_id__2017": 0.1724137931034483, | |
| "acc,exam_id__2015": 0.21008403361344538, | |
| "acc,exam_id__2012": 0.1206896551724138, | |
| "acc,exam_id__2022": 0.21804511278195488, | |
| "acc,exam_id__2013": 0.16666666666666666, | |
| "acc,exam_id__2009": 0.19130434782608696, | |
| "acc,exam_id__2011": 0.28205128205128205, | |
| "main_score": 0.1966410076976907 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.23087621696801114, | |
| "acc,exam_id__USP_2019": 0.175, | |
| "acc,exam_id__UNICAMP_2018": 0.24074074074074073, | |
| "acc,exam_id__UNICAMP_2020": 0.23636363636363636, | |
| "acc,exam_id__UNICAMP_2023": 0.23255813953488372, | |
| "acc,exam_id__UNICAMP_2024": 0.2, | |
| "acc,exam_id__UNICAMP_2019": 0.24, | |
| "acc,exam_id__UNICAMP_2021_2": 0.19607843137254902, | |
| "acc,exam_id__USP_2022": 0.30612244897959184, | |
| "acc,exam_id__USP_2020": 0.30357142857142855, | |
| "acc,exam_id__USP_2018": 0.2037037037037037, | |
| "acc,exam_id__USP_2021": 0.19230769230769232, | |
| "acc,exam_id__USP_2023": 0.25, | |
| "acc,exam_id__USP_2024": 0.17073170731707318, | |
| "acc,exam_id__UNICAMP_2021_1": 0.2608695652173913, | |
| "acc,exam_id__UNICAMP_2022": 0.23076923076923078, | |
| "main_score": 0.23087621696801114 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.2428246013667426, | |
| "acc,exam_id__2014-13": 0.2875, | |
| "acc,exam_id__2012-07": 0.175, | |
| "acc,exam_id__2012-09": 0.24675324675324675, | |
| "acc,exam_id__2011-03": 0.2222222222222222, | |
| "acc,exam_id__2012-08": 0.275, | |
| "acc,exam_id__2015-17": 0.20512820512820512, | |
| "acc,exam_id__2014-15": 0.2564102564102564, | |
| "acc,exam_id__2017-24": 0.175, | |
| "acc,exam_id__2015-16": 0.2375, | |
| "acc,exam_id__2017-23": 0.25, | |
| "acc,exam_id__2011-04": 0.25, | |
| "acc,exam_id__2010-02": 0.23, | |
| "acc,exam_id__2016-19": 0.2564102564102564, | |
| "acc,exam_id__2012-06": 0.25, | |
| "acc,exam_id__2012-06a": 0.225, | |
| "acc,exam_id__2013-12": 0.1875, | |
| "acc,exam_id__2017-22": 0.3125, | |
| "acc,exam_id__2010-01": 0.27058823529411763, | |
| "acc,exam_id__2013-10": 0.225, | |
| "acc,exam_id__2014-14": 0.25, | |
| "acc,exam_id__2018-25": 0.2875, | |
| "acc,exam_id__2016-20a": 0.2875, | |
| "acc,exam_id__2015-18": 0.2875, | |
| "acc,exam_id__2011-05": 0.2, | |
| "acc,exam_id__2013-11": 0.175, | |
| "acc,exam_id__2016-20": 0.275, | |
| "acc,exam_id__2016-21": 0.2625, | |
| "main_score": 0.2428246013667426 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "f1_macro,all": 0.3378561857199312, | |
| "acc,all": 0.5020424836601307, | |
| "main_score": 0.3378561857199312 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "pearson,all": 0.017927392336598496, | |
| "mse,all": 2.7831372549019617, | |
| "main_score": 0.017927392336598496 | |
| }, | |
| "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": 0.048302336566881446, | |
| "acc,all": 0.088, | |
| "main_score": 0.048302336566881446 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "f1_macro,all": 0.3932038834951456, | |
| "acc,all": 0.648, | |
| "main_score": 0.3932038834951456 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "f1_macro,all": 0.09875428777757718, | |
| "acc,all": 0.152, | |
| "main_score": 0.09875428777757718 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.19385342789598106, | |
| "acc,all": 0.41, | |
| "main_score": 0.19385342789598106 | |
| } | |
| }, | |
| "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": 1, | |
| "non_truncated": 1428, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 1, | |
| "mean_seq_length": 1081.372988103569, | |
| "min_seq_length": 906, | |
| "max_seq_length": 2031, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.9993002099370187 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "sample_size": 719, | |
| "truncated": 0, | |
| "non_truncated": 719, | |
| "padded": 0, | |
| "non_padded": 719, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1037.6175243393602, | |
| "min_seq_length": 782, | |
| "max_seq_length": 1563, | |
| "max_ctx_length": 2016, | |
| "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": 870.5266514806378, | |
| "min_seq_length": 691, | |
| "max_seq_length": 1156, | |
| "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": 852.9178921568628, | |
| "min_seq_length": 838, | |
| "max_seq_length": 899, | |
| "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": 1023.9178921568628, | |
| "min_seq_length": 1009, | |
| "max_seq_length": 1070, | |
| "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": 994.5061538461539, | |
| "min_seq_length": 959, | |
| "max_seq_length": 1065, | |
| "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": 1221.068, | |
| "min_seq_length": 1205, | |
| "max_seq_length": 1247, | |
| "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": 1147.222, | |
| "min_seq_length": 1129, | |
| "max_seq_length": 1183, | |
| "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": 960.78, | |
| "min_seq_length": 949, | |
| "max_seq_length": 988, | |
| "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": 1074.998, | |
| "min_seq_length": 1063, | |
| "max_seq_length": 1099, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| } | |
| }, | |
| "summary_general": { | |
| "truncated": 1, | |
| "non_truncated": 11888, | |
| "padded": 0, | |
| "non_padded": 11889, | |
| "fewshots_truncated": 1 | |
| } | |
| } |