llm_pt_leaderboard_raw_results
/
pierreguillou
/gpt2-small-portuguese
/results_2024-02-07T21-11-02.837811.json
| { | |
| "config_general": { | |
| "start_date": "2024-02-07T21-11-02.837811", | |
| "start_time": 1707340263.4633381, | |
| "end_time": 1707341297.0784822, | |
| "total_evaluation_time_seconds": 1033.6151440143585, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "89a916c041b54c8b925e1a3282a5a334684280cb", | |
| "model_dtype": "float16", | |
| "model_memory_footprint": 261462552, | |
| "model_num_parameters": 124439808, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:1", | |
| "batch_size": 128, | |
| "max_length": 1024, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "model_name": "pierreguillou/gpt2-small-portuguese", | |
| "job_id": 88, | |
| "model_id": "pierreguillou/gpt2-small-portuguese_eval_request_False_float16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🆎 : language adapted models (FP, FT, ...)", | |
| "model_architectures": "GPT2LMHeadModel", | |
| "submitted_time": "2024-02-05T23:13:38Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.19798286427846237, | |
| "all_grouped_npm": -0.12156651811559578, | |
| "all_grouped": { | |
| "enem_challenge": 0.19034289713086075, | |
| "bluex": 0.16411682892906815, | |
| "oab_exams": 0.0214123006833713, | |
| "assin2_rte": 0.3333333333333333, | |
| "assin2_sts": 0.023733232880953473, | |
| "faquad_nli": 0.4396551724137931, | |
| "sparrow_pt": 0.21328628457785656 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.19034289713086075, | |
| "harness|bluex|bluex|None|3": 0.16411682892906815, | |
| "harness|oab_exams|oab_exams|None|3": 0.0214123006833713, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.3333333333333333, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.023733232880953473, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.004750425287472688, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3932038834951456, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.28308400460299193, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.172106824925816 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.19034289713086075, | |
| "acc,exam_id__2010": 0.20512820512820512, | |
| "acc,exam_id__2016_2": 0.21951219512195122, | |
| "acc,exam_id__2014": 0.13761467889908258, | |
| "acc,exam_id__2009": 0.2, | |
| "acc,exam_id__2016": 0.1487603305785124, | |
| "acc,exam_id__2013": 0.18518518518518517, | |
| "acc,exam_id__2015": 0.17647058823529413, | |
| "acc,exam_id__2011": 0.19658119658119658, | |
| "acc,exam_id__2022": 0.18796992481203006, | |
| "acc,exam_id__2023": 0.16296296296296298, | |
| "acc,exam_id__2012": 0.25862068965517243, | |
| "acc,exam_id__2017": 0.20689655172413793, | |
| "main_score": 0.19034289713086075 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.16411682892906815, | |
| "acc,exam_id__UNICAMP_2021_1": 0.2608695652173913, | |
| "acc,exam_id__USP_2021": 0.1346153846153846, | |
| "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": 0.24444444444444444, | |
| "acc,exam_id__USP_2019": 0.15, | |
| "acc,exam_id__UNICAMP_2018": 0.16666666666666666, | |
| "acc,exam_id__UNICAMP_2020": 0.12727272727272726, | |
| "acc,exam_id__USP_2020": 0.16071428571428573, | |
| "acc,exam_id__USP_2018": 0.1111111111111111, | |
| "acc,exam_id__UNICAMP_2022": 0.15384615384615385, | |
| "acc,exam_id__USP_2023": 0.11363636363636363, | |
| "acc,exam_id__UNICAMP_2019": 0.16, | |
| "acc,exam_id__USP_2022": 0.14285714285714285, | |
| "main_score": 0.16411682892906815 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.0214123006833713, | |
| "acc,exam_id__2010-01": 0.0, | |
| "acc,exam_id__2014-14": 0.025, | |
| "acc,exam_id__2011-04": 0.0, | |
| "acc,exam_id__2011-03": 0.020202020202020204, | |
| "acc,exam_id__2012-08": 0.0125, | |
| "acc,exam_id__2016-19": 0.01282051282051282, | |
| "acc,exam_id__2013-12": 0.0125, | |
| "acc,exam_id__2018-25": 0.025, | |
| "acc,exam_id__2015-16": 0.0625, | |
| "acc,exam_id__2016-21": 0.0375, | |
| "acc,exam_id__2013-11": 0.0375, | |
| "acc,exam_id__2013-10": 0.0125, | |
| "acc,exam_id__2014-13": 0.025, | |
| "acc,exam_id__2012-06a": 0.0, | |
| "acc,exam_id__2012-09": 0.03896103896103896, | |
| "acc,exam_id__2014-15": 0.01282051282051282, | |
| "acc,exam_id__2017-24": 0.05, | |
| "acc,exam_id__2012-07": 0.025, | |
| "acc,exam_id__2017-23": 0.0, | |
| "acc,exam_id__2011-05": 0.0125, | |
| "acc,exam_id__2017-22": 0.05, | |
| "acc,exam_id__2016-20": 0.025, | |
| "acc,exam_id__2016-20a": 0.0125, | |
| "acc,exam_id__2015-18": 0.025, | |
| "acc,exam_id__2015-17": 0.02564102564102564, | |
| "acc,exam_id__2012-06": 0.0125, | |
| "acc,exam_id__2010-02": 0.01, | |
| "main_score": 0.0214123006833713 | |
| }, | |
| "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": 0.023733232880953473, | |
| "mse,all": 2.6943504901960784, | |
| "main_score": 0.023733232880953473 | |
| }, | |
| "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": 0.004750425287472688, | |
| "acc,all": 0.022, | |
| "main_score": 0.004750425287472688 | |
| }, | |
| "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": 0.28308400460299193, | |
| "acc,all": 0.738, | |
| "main_score": 0.28308400460299193 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.172106824925816, | |
| "acc,all": 0.348, | |
| "main_score": 0.172106824925816 | |
| } | |
| }, | |
| "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": 1279, | |
| "non_truncated": 150, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 1456, | |
| "mean_seq_length": 1107.7627711686494, | |
| "min_seq_length": 930, | |
| "max_seq_length": 2392, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 1.98110566829951 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "sample_size": 719, | |
| "truncated": 677, | |
| "non_truncated": 42, | |
| "padded": 0, | |
| "non_padded": 719, | |
| "fewshots_truncated": 761, | |
| "mean_seq_length": 1230.6369958275382, | |
| "min_seq_length": 950, | |
| "max_seq_length": 1921, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 1.9415855354659248 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "sample_size": 2195, | |
| "truncated": 207, | |
| "non_truncated": 1988, | |
| "padded": 0, | |
| "non_padded": 2195, | |
| "fewshots_truncated": 207, | |
| "mean_seq_length": 887.9448747152619, | |
| "min_seq_length": 718, | |
| "max_seq_length": 1161, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.9056947608200456 | |
| }, | |
| "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": 859.2075163398692, | |
| "min_seq_length": 845, | |
| "max_seq_length": 897, | |
| "max_ctx_length": 992, | |
| "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": 2448, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 2448, | |
| "fewshots_truncated": 3348, | |
| "mean_seq_length": 1063.2075163398692, | |
| "min_seq_length": 1049, | |
| "max_seq_length": 1101, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 15.0, | |
| "mean_effective_fewshot_size": 13.632352941176471 | |
| }, | |
| "harness|faquad_nli|faquad_nli|None|15": { | |
| "sample_size": 650, | |
| "truncated": 557, | |
| "non_truncated": 93, | |
| "padded": 0, | |
| "non_padded": 650, | |
| "fewshots_truncated": 571, | |
| "mean_seq_length": 1008.72, | |
| "min_seq_length": 975, | |
| "max_seq_length": 1073, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 15.0, | |
| "mean_effective_fewshot_size": 14.121538461538462 | |
| }, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
| "sample_size": 500, | |
| "truncated": 500, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 4502, | |
| "mean_seq_length": 1403.554, | |
| "min_seq_length": 1386, | |
| "max_seq_length": 1438, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 15.996 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "sample_size": 500, | |
| "truncated": 500, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 3442, | |
| "mean_seq_length": 1331.124, | |
| "min_seq_length": 1312, | |
| "max_seq_length": 1392, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 18.116 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "sample_size": 500, | |
| "truncated": 500, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 2529, | |
| "mean_seq_length": 1183.39, | |
| "min_seq_length": 1170, | |
| "max_seq_length": 1218, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 19.942 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "sample_size": 500, | |
| "truncated": 500, | |
| "non_truncated": 0, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 3503, | |
| "mean_seq_length": 1302.422, | |
| "min_seq_length": 1289, | |
| "max_seq_length": 1335, | |
| "max_ctx_length": 992, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 17.994 | |
| } | |
| }, | |
| "summary_general": { | |
| "truncated": 7168, | |
| "non_truncated": 4721, | |
| "padded": 0, | |
| "non_padded": 11889, | |
| "fewshots_truncated": 20319 | |
| } | |
| } |