| { | |
| "config_general": { | |
| "start_date": "2024-02-12T19-17-32.271067", | |
| "start_time": 1707765452.8033147, | |
| "end_time": 1707776030.8826435, | |
| "total_evaluation_time_seconds": 10578.079328775406, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 2, | |
| "accelerate_num_process": null, | |
| "model_sha": "356733caf6221e9dd898cde8ff189a98175526ec", | |
| "model_dtype": "bfloat16", | |
| "model_memory_footprint": 67512953856, | |
| "model_num_parameters": 33693554688, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:0", | |
| "batch_size": 4, | |
| "max_length": 4096, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "model_name": "BAAI/Aquila2-34B", | |
| "job_id": 176, | |
| "model_id": "BAAI/Aquila2-34B_eval_request_False_bfloat16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🟢 : pretrained", | |
| "model_architectures": "LlamaForCausalLM", | |
| "submitted_time": "2024-02-05T23:10:17Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.48098138595980766, | |
| "all_grouped_npm": 0.26782837303937407, | |
| "all_grouped": { | |
| "enem_challenge": 0.543037088873338, | |
| "bluex": 0.4297635605006954, | |
| "oab_exams": 0.3981776765375854, | |
| "assin2_rte": 0.7334164728077959, | |
| "assin2_sts": 0.4958376987221018, | |
| "faquad_nli": 0.45449901481427424, | |
| "sparrow_pt": 0.3121381894628628 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.543037088873338, | |
| "harness|bluex|bluex|None|3": 0.4297635605006954, | |
| "harness|oab_exams|oab_exams|None|3": 0.3981776765375854, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.7334164728077959, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.4958376987221018, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.45449901481427424, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.05264456929419634, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.4310370911195743, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.3954840669096346, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.36938703052804595 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.543037088873338, | |
| "acc,exam_id__2011": 0.5555555555555556, | |
| "acc,exam_id__2013": 0.48148148148148145, | |
| "acc,exam_id__2017": 0.49137931034482757, | |
| "acc,exam_id__2009": 0.5304347826086957, | |
| "acc,exam_id__2012": 0.5948275862068966, | |
| "acc,exam_id__2010": 0.5042735042735043, | |
| "acc,exam_id__2023": 0.5703703703703704, | |
| "acc,exam_id__2016": 0.512396694214876, | |
| "acc,exam_id__2022": 0.5714285714285714, | |
| "acc,exam_id__2015": 0.5714285714285714, | |
| "acc,exam_id__2014": 0.5596330275229358, | |
| "acc,exam_id__2016_2": 0.5609756097560976, | |
| "main_score": 0.543037088873338 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.4297635605006954, | |
| "acc,exam_id__UNICAMP_2019": 0.38, | |
| "acc,exam_id__UNICAMP_2023": 0.5348837209302325, | |
| "acc,exam_id__UNICAMP_2021_1": 0.5217391304347826, | |
| "acc,exam_id__UNICAMP_2021_2": 0.39215686274509803, | |
| "acc,exam_id__USP_2021": 0.38461538461538464, | |
| "acc,exam_id__UNICAMP_2024": 0.4888888888888889, | |
| "acc,exam_id__UNICAMP_2020": 0.41818181818181815, | |
| "acc,exam_id__USP_2023": 0.5, | |
| "acc,exam_id__USP_2024": 0.43902439024390244, | |
| "acc,exam_id__UNICAMP_2018": 0.5, | |
| "acc,exam_id__USP_2019": 0.45, | |
| "acc,exam_id__USP_2018": 0.2777777777777778, | |
| "acc,exam_id__USP_2020": 0.5, | |
| "acc,exam_id__UNICAMP_2022": 0.38461538461538464, | |
| "acc,exam_id__USP_2022": 0.30612244897959184, | |
| "main_score": 0.4297635605006954 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.3981776765375854, | |
| "acc,exam_id__2017-23": 0.375, | |
| "acc,exam_id__2010-01": 0.4117647058823529, | |
| "acc,exam_id__2014-14": 0.3875, | |
| "acc,exam_id__2013-11": 0.45, | |
| "acc,exam_id__2011-03": 0.3434343434343434, | |
| "acc,exam_id__2014-15": 0.48717948717948717, | |
| "acc,exam_id__2011-04": 0.375, | |
| "acc,exam_id__2015-16": 0.45, | |
| "acc,exam_id__2012-09": 0.3246753246753247, | |
| "acc,exam_id__2012-07": 0.3625, | |
| "acc,exam_id__2018-25": 0.3625, | |
| "acc,exam_id__2012-06": 0.325, | |
| "acc,exam_id__2016-21": 0.35, | |
| "acc,exam_id__2016-20": 0.4625, | |
| "acc,exam_id__2012-08": 0.3375, | |
| "acc,exam_id__2013-12": 0.4125, | |
| "acc,exam_id__2012-06a": 0.4125, | |
| "acc,exam_id__2013-10": 0.3875, | |
| "acc,exam_id__2015-17": 0.44871794871794873, | |
| "acc,exam_id__2014-13": 0.4125, | |
| "acc,exam_id__2016-20a": 0.4, | |
| "acc,exam_id__2015-18": 0.35, | |
| "acc,exam_id__2017-22": 0.4625, | |
| "acc,exam_id__2011-05": 0.3875, | |
| "acc,exam_id__2017-24": 0.375, | |
| "acc,exam_id__2010-02": 0.48, | |
| "acc,exam_id__2016-19": 0.41025641025641024, | |
| "main_score": 0.3981776765375854 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "f1_macro,all": 0.7334164728077959, | |
| "acc,all": 0.7495915032679739, | |
| "main_score": 0.7334164728077959 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "pearson,all": 0.4958376987221018, | |
| "mse,all": 1.8503594771241831, | |
| "main_score": 0.4958376987221018 | |
| }, | |
| "harness|faquad_nli|faquad_nli|None|15": { | |
| "f1_macro,all": 0.45449901481427424, | |
| "acc,all": 0.7876923076923077, | |
| "main_score": 0.45449901481427424 | |
| }, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
| "f1_macro,all": 0.05264456929419634, | |
| "acc,all": 0.11, | |
| "main_score": 0.05264456929419634 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "f1_macro,all": 0.4310370911195743, | |
| "acc,all": 0.654, | |
| "main_score": 0.4310370911195743 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "f1_macro,all": 0.3954840669096346, | |
| "acc,all": 0.386, | |
| "main_score": 0.3954840669096346 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.36938703052804595, | |
| "acc,all": 0.398, | |
| "main_score": 0.36938703052804595 | |
| } | |
| }, | |
| "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": 1566.3911826452065, | |
| "min_seq_length": 1309, | |
| "max_seq_length": 2523, | |
| "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": 1331.4408901251738, | |
| "min_seq_length": 958, | |
| "max_seq_length": 2121, | |
| "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": 1348.75854214123, | |
| "min_seq_length": 1081, | |
| "max_seq_length": 1828, | |
| "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": 1279.0187908496732, | |
| "min_seq_length": 1256, | |
| "max_seq_length": 1346, | |
| "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": 1412.0187908496732, | |
| "min_seq_length": 1389, | |
| "max_seq_length": 1479, | |
| "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": 1562.3892307692308, | |
| "min_seq_length": 1507, | |
| "max_seq_length": 1677, | |
| "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": 1749.992, | |
| "min_seq_length": 1728, | |
| "max_seq_length": 1784, | |
| "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": 1724.436, | |
| "min_seq_length": 1700, | |
| "max_seq_length": 1760, | |
| "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": 1434.708, | |
| "min_seq_length": 1417, | |
| "max_seq_length": 1470, | |
| "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": 1598.012, | |
| "min_seq_length": 1580, | |
| "max_seq_length": 1628, | |
| "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 | |
| } | |
| } |