| { | |
| "config_general": { | |
| "start_date": "2024-02-07T06-30-45.967063", | |
| "start_time": 1707287447.6957777, | |
| "end_time": 1707303593.140522, | |
| "total_evaluation_time_seconds": 16145.444744348526, | |
| "has_chat_template": true, | |
| "chat_type": "system_user_assistant", | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "cdd1aef103a52ac458dee200ad0661c967dd0e63", | |
| "model_dtype": "bfloat16", | |
| "model_memory_footprint": 14221328384, | |
| "model_num_parameters": 7043551232, | |
| "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": 4096, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "model_name": "Deci/DeciLM-7B", | |
| "job_id": 39, | |
| "model_id": "Deci/DeciLM-7B_eval_request_False_bfloat16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🔶 : fine-tuned", | |
| "model_architectures": "DeciLMForCausalLM", | |
| "submitted_time": "2024-02-05T23:06:34Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.5343511254013569, | |
| "all_grouped_npm": 0.3640082745590046, | |
| "all_grouped": { | |
| "enem_challenge": 0.529741077676697, | |
| "bluex": 0.41168289290681503, | |
| "oab_exams": 0.3990888382687927, | |
| "assin2_rte": 0.7470003950561543, | |
| "assin2_sts": 0.5145659724171266, | |
| "faquad_nli": 0.7851487912814374, | |
| "sparrow_pt": 0.3532299102024751 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.529741077676697, | |
| "harness|bluex|bluex|None|3": 0.41168289290681503, | |
| "harness|oab_exams|oab_exams|None|3": 0.3990888382687927, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.7470003950561543, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.5145659724171266, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.7851487912814374, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.049837533542238396, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.49008288470928546, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.4507701117730127, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.4222291107853638 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.529741077676697, | |
| "acc,exam_id__2016_2": 0.5853658536585366, | |
| "acc,exam_id__2016": 0.5454545454545454, | |
| "acc,exam_id__2010": 0.5213675213675214, | |
| "acc,exam_id__2014": 0.5688073394495413, | |
| "acc,exam_id__2023": 0.562962962962963, | |
| "acc,exam_id__2017": 0.5344827586206896, | |
| "acc,exam_id__2015": 0.47058823529411764, | |
| "acc,exam_id__2012": 0.5, | |
| "acc,exam_id__2022": 0.5037593984962406, | |
| "acc,exam_id__2013": 0.5092592592592593, | |
| "acc,exam_id__2009": 0.4608695652173913, | |
| "acc,exam_id__2011": 0.5897435897435898, | |
| "main_score": 0.529741077676697 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.41168289290681503, | |
| "acc,exam_id__USP_2019": 0.525, | |
| "acc,exam_id__UNICAMP_2018": 0.3148148148148148, | |
| "acc,exam_id__UNICAMP_2020": 0.4, | |
| "acc,exam_id__UNICAMP_2023": 0.4186046511627907, | |
| "acc,exam_id__UNICAMP_2024": 0.4444444444444444, | |
| "acc,exam_id__UNICAMP_2019": 0.44, | |
| "acc,exam_id__UNICAMP_2021_2": 0.4117647058823529, | |
| "acc,exam_id__USP_2022": 0.3877551020408163, | |
| "acc,exam_id__USP_2020": 0.35714285714285715, | |
| "acc,exam_id__USP_2018": 0.3333333333333333, | |
| "acc,exam_id__USP_2021": 0.36538461538461536, | |
| "acc,exam_id__USP_2023": 0.4318181818181818, | |
| "acc,exam_id__USP_2024": 0.4634146341463415, | |
| "acc,exam_id__UNICAMP_2021_1": 0.45652173913043476, | |
| "acc,exam_id__UNICAMP_2022": 0.5128205128205128, | |
| "main_score": 0.41168289290681503 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.3990888382687927, | |
| "acc,exam_id__2014-13": 0.325, | |
| "acc,exam_id__2012-07": 0.35, | |
| "acc,exam_id__2012-09": 0.38961038961038963, | |
| "acc,exam_id__2011-03": 0.30303030303030304, | |
| "acc,exam_id__2012-08": 0.3625, | |
| "acc,exam_id__2015-17": 0.41025641025641024, | |
| "acc,exam_id__2014-15": 0.44871794871794873, | |
| "acc,exam_id__2017-24": 0.475, | |
| "acc,exam_id__2015-16": 0.425, | |
| "acc,exam_id__2017-23": 0.375, | |
| "acc,exam_id__2011-04": 0.3625, | |
| "acc,exam_id__2010-02": 0.4, | |
| "acc,exam_id__2016-19": 0.3974358974358974, | |
| "acc,exam_id__2012-06": 0.475, | |
| "acc,exam_id__2012-06a": 0.45, | |
| "acc,exam_id__2013-12": 0.425, | |
| "acc,exam_id__2017-22": 0.475, | |
| "acc,exam_id__2010-01": 0.32941176470588235, | |
| "acc,exam_id__2013-10": 0.3375, | |
| "acc,exam_id__2014-14": 0.4375, | |
| "acc,exam_id__2018-25": 0.45, | |
| "acc,exam_id__2016-20a": 0.325, | |
| "acc,exam_id__2015-18": 0.425, | |
| "acc,exam_id__2011-05": 0.35, | |
| "acc,exam_id__2013-11": 0.45, | |
| "acc,exam_id__2016-20": 0.4375, | |
| "acc,exam_id__2016-21": 0.4125, | |
| "main_score": 0.3990888382687927 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "f1_macro,all": 0.7470003950561543, | |
| "acc,all": 0.7606209150326797, | |
| "main_score": 0.7470003950561543 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "pearson,all": 0.5145659724171266, | |
| "mse,all": 1.6238355441176466, | |
| "main_score": 0.5145659724171266 | |
| }, | |
| "harness|faquad_nli|faquad_nli|None|15": { | |
| "f1_macro,all": 0.7851487912814374, | |
| "acc,all": 0.8415384615384616, | |
| "main_score": 0.7851487912814374 | |
| }, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
| "f1_macro,all": 0.049837533542238396, | |
| "acc,all": 0.09, | |
| "main_score": 0.049837533542238396 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "f1_macro,all": 0.49008288470928546, | |
| "acc,all": 0.67, | |
| "main_score": 0.49008288470928546 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "f1_macro,all": 0.4507701117730127, | |
| "acc,all": 0.468, | |
| "main_score": 0.4507701117730127 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.4222291107853638, | |
| "acc,all": 0.426, | |
| "main_score": 0.4222291107853638 | |
| } | |
| }, | |
| "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": 1640.039188243527, | |
| "min_seq_length": 1374, | |
| "max_seq_length": 2638, | |
| "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": 1429.9262865090404, | |
| "min_seq_length": 1053, | |
| "max_seq_length": 2230, | |
| "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": 1386.764464692483, | |
| "min_seq_length": 1120, | |
| "max_seq_length": 1889, | |
| "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": 1375.7455065359477, | |
| "min_seq_length": 1352, | |
| "max_seq_length": 1442, | |
| "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": 1575.7455065359477, | |
| "min_seq_length": 1552, | |
| "max_seq_length": 1642, | |
| "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": 1686.9876923076922, | |
| "min_seq_length": 1631, | |
| "max_seq_length": 1807, | |
| "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": 1939.336, | |
| "min_seq_length": 1917, | |
| "max_seq_length": 1973, | |
| "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": 1957.15, | |
| "min_seq_length": 1933, | |
| "max_seq_length": 2002, | |
| "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": 1669.088, | |
| "min_seq_length": 1652, | |
| "max_seq_length": 1705, | |
| "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": 1834.55, | |
| "min_seq_length": 1817, | |
| "max_seq_length": 1867, | |
| "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 | |
| } | |
| } |