| { | |
| "config_general": { | |
| "start_date": "2024-02-13T16-00-29.790614", | |
| "start_time": 1707840030.3431365, | |
| "end_time": 1707846707.3000472, | |
| "total_evaluation_time_seconds": 6676.956910610199, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 2, | |
| "accelerate_num_process": null, | |
| "model_sha": "5d86e56a58fe4a5b3292cd9bb7468afef6f93eab", | |
| "model_dtype": "float16", | |
| "model_memory_footprint": 14135345152, | |
| "model_num_parameters": 7000559616, | |
| "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": "baichuan-inc/Baichuan-7B", | |
| "job_id": 176, | |
| "model_id": "baichuan-inc/Baichuan-7B_eval_request_False_float16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🟢 : pretrained", | |
| "model_architectures": "BaiChuanForCausalLM", | |
| "submitted_time": "2024-02-05T23:08:13Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.25930712334976985, | |
| "all_grouped_npm": -0.048431144903189324, | |
| "all_grouped": { | |
| "enem_challenge": 0.20573827851644508, | |
| "bluex": 0.20584144645340752, | |
| "oab_exams": 0.23690205011389523, | |
| "assin2_rte": 0.3333333333333333, | |
| "assin2_sts": 0.16664859797501688, | |
| "faquad_nli": 0.41377140792945644, | |
| "sparrow_pt": 0.25291474912683454 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.20573827851644508, | |
| "harness|bluex|bluex|None|3": 0.20584144645340752, | |
| "harness|oab_exams|oab_exams|None|3": 0.23690205011389523, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.16664859797501688, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.41377140792945644, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.053240320749629956, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3932038834951456, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.2181010401403215, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.3471137521222411 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.20573827851644508, | |
| "acc,exam_id__2011": 0.18803418803418803, | |
| "acc,exam_id__2013": 0.1574074074074074, | |
| "acc,exam_id__2017": 0.19827586206896552, | |
| "acc,exam_id__2009": 0.25217391304347825, | |
| "acc,exam_id__2012": 0.29310344827586204, | |
| "acc,exam_id__2010": 0.19658119658119658, | |
| "acc,exam_id__2023": 0.18518518518518517, | |
| "acc,exam_id__2016": 0.18181818181818182, | |
| "acc,exam_id__2022": 0.21052631578947367, | |
| "acc,exam_id__2015": 0.20168067226890757, | |
| "acc,exam_id__2014": 0.1926605504587156, | |
| "acc,exam_id__2016_2": 0.21138211382113822, | |
| "main_score": 0.20573827851644508 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.20584144645340752, | |
| "acc,exam_id__UNICAMP_2019": 0.16, | |
| "acc,exam_id__UNICAMP_2023": 0.3023255813953488, | |
| "acc,exam_id__UNICAMP_2021_1": 0.30434782608695654, | |
| "acc,exam_id__UNICAMP_2021_2": 0.17647058823529413, | |
| "acc,exam_id__USP_2021": 0.21153846153846154, | |
| "acc,exam_id__UNICAMP_2024": 0.13333333333333333, | |
| "acc,exam_id__UNICAMP_2020": 0.18181818181818182, | |
| "acc,exam_id__USP_2023": 0.18181818181818182, | |
| "acc,exam_id__USP_2024": 0.14634146341463414, | |
| "acc,exam_id__UNICAMP_2018": 0.2037037037037037, | |
| "acc,exam_id__USP_2019": 0.275, | |
| "acc,exam_id__USP_2018": 0.18518518518518517, | |
| "acc,exam_id__USP_2020": 0.26785714285714285, | |
| "acc,exam_id__UNICAMP_2022": 0.23076923076923078, | |
| "acc,exam_id__USP_2022": 0.14285714285714285, | |
| "main_score": 0.20584144645340752 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.23690205011389523, | |
| "acc,exam_id__2017-23": 0.225, | |
| "acc,exam_id__2010-01": 0.25882352941176473, | |
| "acc,exam_id__2014-14": 0.25, | |
| "acc,exam_id__2013-11": 0.1625, | |
| "acc,exam_id__2011-03": 0.23232323232323232, | |
| "acc,exam_id__2014-15": 0.24358974358974358, | |
| "acc,exam_id__2011-04": 0.275, | |
| "acc,exam_id__2015-16": 0.25, | |
| "acc,exam_id__2012-09": 0.23376623376623376, | |
| "acc,exam_id__2012-07": 0.15, | |
| "acc,exam_id__2018-25": 0.2875, | |
| "acc,exam_id__2012-06": 0.25, | |
| "acc,exam_id__2016-21": 0.2125, | |
| "acc,exam_id__2016-20": 0.25, | |
| "acc,exam_id__2012-08": 0.2125, | |
| "acc,exam_id__2013-12": 0.175, | |
| "acc,exam_id__2012-06a": 0.25, | |
| "acc,exam_id__2013-10": 0.225, | |
| "acc,exam_id__2015-17": 0.2692307692307692, | |
| "acc,exam_id__2014-13": 0.225, | |
| "acc,exam_id__2016-20a": 0.3125, | |
| "acc,exam_id__2015-18": 0.225, | |
| "acc,exam_id__2017-22": 0.2375, | |
| "acc,exam_id__2011-05": 0.2625, | |
| "acc,exam_id__2017-24": 0.2375, | |
| "acc,exam_id__2010-02": 0.26, | |
| "acc,exam_id__2016-19": 0.21794871794871795, | |
| "main_score": 0.23690205011389523 | |
| }, | |
| "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": 0.16664859797501688, | |
| "mse,all": 2.7225449346405237, | |
| "main_score": 0.16664859797501688 | |
| }, | |
| "harness|faquad_nli|faquad_nli|None|15": { | |
| "f1_macro,all": 0.41377140792945644, | |
| "acc,all": 0.42, | |
| "main_score": 0.41377140792945644 | |
| }, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
| "f1_macro,all": 0.053240320749629956, | |
| "acc,all": 0.098, | |
| "main_score": 0.053240320749629956 | |
| }, | |
| "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": 0.2181010401403215, | |
| "acc,all": 0.206, | |
| "main_score": 0.2181010401403215 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.3471137521222411, | |
| "acc,all": 0.366, | |
| "main_score": 0.3471137521222411 | |
| } | |
| }, | |
| "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": 1782.486354093772, | |
| "min_seq_length": 1480, | |
| "max_seq_length": 2788, | |
| "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": 1519.0917941585535, | |
| "min_seq_length": 1100, | |
| "max_seq_length": 2406, | |
| "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": 1521.5302961275627, | |
| "min_seq_length": 1216, | |
| "max_seq_length": 2099, | |
| "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": 1327.3807189542483, | |
| "min_seq_length": 1303, | |
| "max_seq_length": 1398, | |
| "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": 1544.3807189542483, | |
| "min_seq_length": 1520, | |
| "max_seq_length": 1615, | |
| "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": 1715.8692307692309, | |
| "min_seq_length": 1653, | |
| "max_seq_length": 1853, | |
| "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": 1794.42, | |
| "min_seq_length": 1769, | |
| "max_seq_length": 1836, | |
| "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": 1837.686, | |
| "min_seq_length": 1810, | |
| "max_seq_length": 1881, | |
| "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": 1566.932, | |
| "min_seq_length": 1547, | |
| "max_seq_length": 1607, | |
| "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": 1719.346, | |
| "min_seq_length": 1700, | |
| "max_seq_length": 1758, | |
| "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 | |
| } | |
| } |