| { | |
| "config_general": { | |
| "start_date": "2024-02-08T03-29-01.274461", | |
| "start_time": 1707362941.781589, | |
| "end_time": 1707366538.0869317, | |
| "total_evaluation_time_seconds": 3596.3053426742554, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "89ca69b892037a46d703b3acaef30191aefce69b", | |
| "model_dtype": "float16", | |
| "model_memory_footprint": 12494528512, | |
| "model_num_parameters": 6247264256, | |
| "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": "projecte-aina/FLOR-6.3B", | |
| "job_id": 96, | |
| "model_id": "projecte-aina/FLOR-6.3B_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": "BloomForCausalLM", | |
| "submitted_time": "2024-02-05T23:14:46Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.25882115779319637, | |
| "all_grouped_npm": -0.029802826958901178, | |
| "all_grouped": { | |
| "enem_challenge": 0.2099370188943317, | |
| "bluex": 0.24617524339360222, | |
| "oab_exams": 0.2469248291571754, | |
| "assin2_rte": 0.4438707294213775, | |
| "assin2_sts": 0.0070054014064472835, | |
| "faquad_nli": 0.4396551724137931, | |
| "sparrow_pt": 0.2181797098656472 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.2099370188943317, | |
| "harness|bluex|bluex|None|3": 0.24617524339360222, | |
| "harness|oab_exams|oab_exams|None|3": 0.2469248291571754, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.4438707294213775, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.0070054014064472835, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.024324126438635223, | |
| "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": 0.2099370188943317, | |
| "acc,exam_id__2010": 0.23076923076923078, | |
| "acc,exam_id__2016_2": 0.2032520325203252, | |
| "acc,exam_id__2014": 0.2018348623853211, | |
| "acc,exam_id__2009": 0.14782608695652175, | |
| "acc,exam_id__2016": 0.21487603305785125, | |
| "acc,exam_id__2013": 0.2222222222222222, | |
| "acc,exam_id__2015": 0.15126050420168066, | |
| "acc,exam_id__2011": 0.2564102564102564, | |
| "acc,exam_id__2022": 0.21052631578947367, | |
| "acc,exam_id__2023": 0.17037037037037037, | |
| "acc,exam_id__2012": 0.2672413793103448, | |
| "acc,exam_id__2017": 0.25, | |
| "main_score": 0.2099370188943317 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.24617524339360222, | |
| "acc,exam_id__UNICAMP_2021_1": 0.2608695652173913, | |
| "acc,exam_id__USP_2021": 0.23076923076923078, | |
| "acc,exam_id__USP_2024": 0.17073170731707318, | |
| "acc,exam_id__UNICAMP_2021_2": 0.29411764705882354, | |
| "acc,exam_id__UNICAMP_2023": 0.27906976744186046, | |
| "acc,exam_id__UNICAMP_2024": 0.3333333333333333, | |
| "acc,exam_id__USP_2019": 0.2, | |
| "acc,exam_id__UNICAMP_2018": 0.3148148148148148, | |
| "acc,exam_id__UNICAMP_2020": 0.23636363636363636, | |
| "acc,exam_id__USP_2020": 0.23214285714285715, | |
| "acc,exam_id__USP_2018": 0.18518518518518517, | |
| "acc,exam_id__UNICAMP_2022": 0.2564102564102564, | |
| "acc,exam_id__USP_2023": 0.22727272727272727, | |
| "acc,exam_id__UNICAMP_2019": 0.22, | |
| "acc,exam_id__USP_2022": 0.24489795918367346, | |
| "main_score": 0.24617524339360222 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.2469248291571754, | |
| "acc,exam_id__2010-01": 0.27058823529411763, | |
| "acc,exam_id__2014-14": 0.225, | |
| "acc,exam_id__2011-04": 0.2, | |
| "acc,exam_id__2011-03": 0.25252525252525254, | |
| "acc,exam_id__2012-08": 0.3, | |
| "acc,exam_id__2016-19": 0.21794871794871795, | |
| "acc,exam_id__2013-12": 0.2125, | |
| "acc,exam_id__2018-25": 0.3, | |
| "acc,exam_id__2015-16": 0.2625, | |
| "acc,exam_id__2016-21": 0.1875, | |
| "acc,exam_id__2013-11": 0.2125, | |
| "acc,exam_id__2013-10": 0.2375, | |
| "acc,exam_id__2014-13": 0.2625, | |
| "acc,exam_id__2012-06a": 0.25, | |
| "acc,exam_id__2012-09": 0.23376623376623376, | |
| "acc,exam_id__2014-15": 0.24358974358974358, | |
| "acc,exam_id__2017-24": 0.275, | |
| "acc,exam_id__2012-07": 0.175, | |
| "acc,exam_id__2017-23": 0.2375, | |
| "acc,exam_id__2011-05": 0.25, | |
| "acc,exam_id__2017-22": 0.275, | |
| "acc,exam_id__2016-20": 0.2125, | |
| "acc,exam_id__2016-20a": 0.3, | |
| "acc,exam_id__2015-18": 0.2625, | |
| "acc,exam_id__2015-17": 0.28205128205128205, | |
| "acc,exam_id__2012-06": 0.2625, | |
| "acc,exam_id__2010-02": 0.26, | |
| "main_score": 0.2469248291571754 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "f1_macro,all": 0.4438707294213775, | |
| "acc,all": 0.5543300653594772, | |
| "main_score": 0.4438707294213775 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "pearson,all": 0.0070054014064472835, | |
| "mse,all": 2.529113562091503, | |
| "main_score": 0.0070054014064472835 | |
| }, | |
| "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": 0.024324126438635223, | |
| "acc,all": 0.112, | |
| "main_score": 0.024324126438635223 | |
| }, | |
| "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": 6, | |
| "non_truncated": 1423, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 9, | |
| "mean_seq_length": 1446.6389083275017, | |
| "min_seq_length": 1207, | |
| "max_seq_length": 2694, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.99370188943317 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "sample_size": 719, | |
| "truncated": 2, | |
| "non_truncated": 717, | |
| "padded": 0, | |
| "non_padded": 719, | |
| "fewshots_truncated": 2, | |
| "mean_seq_length": 1327.653685674548, | |
| "min_seq_length": 977, | |
| "max_seq_length": 2068, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 2.9972183588317107 | |
| }, | |
| "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": 1232.9972665148064, | |
| "min_seq_length": 986, | |
| "max_seq_length": 1675, | |
| "max_ctx_length": 2016, | |
| "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": 1095.6041666666667, | |
| "min_seq_length": 1072, | |
| "max_seq_length": 1158, | |
| "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": 1281.6041666666667, | |
| "min_seq_length": 1258, | |
| "max_seq_length": 1344, | |
| "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": 1377.7138461538461, | |
| "min_seq_length": 1327, | |
| "max_seq_length": 1476, | |
| "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": 1576.68, | |
| "min_seq_length": 1556, | |
| "max_seq_length": 1615, | |
| "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": 1480.554, | |
| "min_seq_length": 1458, | |
| "max_seq_length": 1515, | |
| "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": 1343.618, | |
| "min_seq_length": 1327, | |
| "max_seq_length": 1379, | |
| "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": 1491.878, | |
| "min_seq_length": 1476, | |
| "max_seq_length": 1525, | |
| "max_ctx_length": 2016, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| } | |
| }, | |
| "summary_general": { | |
| "truncated": 8, | |
| "non_truncated": 11881, | |
| "padded": 0, | |
| "non_padded": 11889, | |
| "fewshots_truncated": 11 | |
| } | |
| } |