| { | |
| "config_general": { | |
| "start_date": "2024-02-07T19-21-03.591228", | |
| "start_time": 1707333664.185723, | |
| "end_time": 1707337452.4892411, | |
| "total_evaluation_time_seconds": 3788.3035180568695, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "a45aa65bbeb77c1558bc99bedc6779195462dab0", | |
| "model_dtype": "float16", | |
| "model_memory_footprint": 13316947968, | |
| "model_num_parameters": 6658473984, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:2", | |
| "batch_size": 16, | |
| "max_length": 2048, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "model_name": "facebook/opt-6.7b", | |
| "job_id": 83, | |
| "model_id": "facebook/opt-6.7b_eval_request_False_float16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🟢 : pretrained", | |
| "model_architectures": "OPTForCausalLM", | |
| "submitted_time": "2024-02-05T23:13:01Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.2427451362827102, | |
| "all_grouped_npm": -0.06824993155569106, | |
| "all_grouped": { | |
| "enem_challenge": 0.19174247725682295, | |
| "bluex": 0.18776077885952713, | |
| "oab_exams": 0.22824601366742597, | |
| "assin2_rte": 0.3333333333333333, | |
| "assin2_sts": 0.14409507648515532, | |
| "faquad_nli": 0.4396551724137931, | |
| "sparrow_pt": 0.17438310196291348 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.19174247725682295, | |
| "harness|bluex|bluex|None|3": 0.18776077885952713, | |
| "harness|oab_exams|oab_exams|None|3": 0.22824601366742597, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.14409507648515532, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.023367082523244986, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3932038834951456, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.08710801393728224, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.19385342789598106 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.19174247725682295, | |
| "acc,exam_id__2010": 0.1452991452991453, | |
| "acc,exam_id__2016_2": 0.1951219512195122, | |
| "acc,exam_id__2014": 0.2018348623853211, | |
| "acc,exam_id__2009": 0.2, | |
| "acc,exam_id__2016": 0.19834710743801653, | |
| "acc,exam_id__2013": 0.14814814814814814, | |
| "acc,exam_id__2015": 0.13445378151260504, | |
| "acc,exam_id__2011": 0.20512820512820512, | |
| "acc,exam_id__2022": 0.21052631578947367, | |
| "acc,exam_id__2023": 0.25925925925925924, | |
| "acc,exam_id__2012": 0.1810344827586207, | |
| "acc,exam_id__2017": 0.20689655172413793, | |
| "main_score": 0.19174247725682295 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.18776077885952713, | |
| "acc,exam_id__UNICAMP_2021_1": 0.30434782608695654, | |
| "acc,exam_id__USP_2021": 0.19230769230769232, | |
| "acc,exam_id__USP_2024": 0.12195121951219512, | |
| "acc,exam_id__UNICAMP_2021_2": 0.13725490196078433, | |
| "acc,exam_id__UNICAMP_2023": 0.3023255813953488, | |
| "acc,exam_id__UNICAMP_2024": 0.17777777777777778, | |
| "acc,exam_id__USP_2019": 0.225, | |
| "acc,exam_id__UNICAMP_2018": 0.2037037037037037, | |
| "acc,exam_id__UNICAMP_2020": 0.16363636363636364, | |
| "acc,exam_id__USP_2020": 0.19642857142857142, | |
| "acc,exam_id__USP_2018": 0.12962962962962962, | |
| "acc,exam_id__UNICAMP_2022": 0.23076923076923078, | |
| "acc,exam_id__USP_2023": 0.11363636363636363, | |
| "acc,exam_id__UNICAMP_2019": 0.16, | |
| "acc,exam_id__USP_2022": 0.1836734693877551, | |
| "main_score": 0.18776077885952713 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.22824601366742597, | |
| "acc,exam_id__2010-01": 0.25882352941176473, | |
| "acc,exam_id__2014-14": 0.25, | |
| "acc,exam_id__2011-04": 0.25, | |
| "acc,exam_id__2011-03": 0.24242424242424243, | |
| "acc,exam_id__2012-08": 0.225, | |
| "acc,exam_id__2016-19": 0.20512820512820512, | |
| "acc,exam_id__2013-12": 0.1625, | |
| "acc,exam_id__2018-25": 0.275, | |
| "acc,exam_id__2015-16": 0.225, | |
| "acc,exam_id__2016-21": 0.1875, | |
| "acc,exam_id__2013-11": 0.1625, | |
| "acc,exam_id__2013-10": 0.2125, | |
| "acc,exam_id__2014-13": 0.25, | |
| "acc,exam_id__2012-06a": 0.2375, | |
| "acc,exam_id__2012-09": 0.23376623376623376, | |
| "acc,exam_id__2014-15": 0.21794871794871795, | |
| "acc,exam_id__2017-24": 0.2375, | |
| "acc,exam_id__2012-07": 0.1375, | |
| "acc,exam_id__2017-23": 0.2, | |
| "acc,exam_id__2011-05": 0.2375, | |
| "acc,exam_id__2017-22": 0.25, | |
| "acc,exam_id__2016-20": 0.2375, | |
| "acc,exam_id__2016-20a": 0.3, | |
| "acc,exam_id__2015-18": 0.2375, | |
| "acc,exam_id__2015-17": 0.24358974358974358, | |
| "acc,exam_id__2012-06": 0.2375, | |
| "acc,exam_id__2010-02": 0.24, | |
| "main_score": 0.22824601366742597 | |
| }, | |
| "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": 0.14409507648515532, | |
| "mse,all": 2.5568872549019606, | |
| "main_score": 0.14409507648515532 | |
| }, | |
| "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": 0.023367082523244986, | |
| "acc,all": 0.052, | |
| "main_score": 0.023367082523244986 | |
| }, | |
| "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": 0.08710801393728224, | |
| "acc,all": 0.15, | |
| "main_score": 0.08710801393728224 | |
| }, | |
| "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": 138, | |
| "non_truncated": 1291, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 146, | |
| "mean_seq_length": 1775.3967809657104, | |
| "min_seq_length": 1482, | |
| "max_seq_length": 2743, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.8978306508047584 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "sample_size": 719, | |
| "truncated": 9, | |
| "non_truncated": 710, | |
| "padded": 0, | |
| "non_padded": 719, | |
| "fewshots_truncated": 9, | |
| "mean_seq_length": 1435.2475660639777, | |
| "min_seq_length": 1021, | |
| "max_seq_length": 2318, | |
| "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": 1531.2646924829157, | |
| "min_seq_length": 1226, | |
| "max_seq_length": 2106, | |
| "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": 1345.483660130719, | |
| "min_seq_length": 1320, | |
| "max_seq_length": 1423, | |
| "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": 1478.483660130719, | |
| "min_seq_length": 1453, | |
| "max_seq_length": 1556, | |
| "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": 1714.283076923077, | |
| "min_seq_length": 1652, | |
| "max_seq_length": 1858, | |
| "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": 1838.336, | |
| "min_seq_length": 1814, | |
| "max_seq_length": 1879, | |
| "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": 1825.748, | |
| "min_seq_length": 1800, | |
| "max_seq_length": 1859, | |
| "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": 1552.478, | |
| "min_seq_length": 1534, | |
| "max_seq_length": 1589, | |
| "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": 1724.772, | |
| "min_seq_length": 1706, | |
| "max_seq_length": 1759, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| } | |
| }, | |
| "summary_general": { | |
| "truncated": 148, | |
| "non_truncated": 11741, | |
| "padded": 0, | |
| "non_padded": 11889, | |
| "fewshots_truncated": 156 | |
| } | |
| } |