llm_pt_leaderboard_raw_results
/
deepseek-ai
/deepseek-llm-7b-base
/results_2024-02-13T20-08-54.493662.json
| { | |
| "config_general": { | |
| "start_date": "2024-02-13T20-08-54.493662", | |
| "start_time": 1707854935.0912652, | |
| "end_time": 1707858450.9234192, | |
| "total_evaluation_time_seconds": 3515.8321540355682, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "7683fea62db869066ddaff6a41d032262c490d4f", | |
| "model_dtype": "bfloat16", | |
| "model_memory_footprint": 13883653632, | |
| "model_num_parameters": 6910365696, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:1", | |
| "batch_size": 8, | |
| "max_length": 4096, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "model_name": "deepseek-ai/deepseek-llm-7b-base", | |
| "job_id": 180, | |
| "model_id": "deepseek-ai/deepseek-llm-7b-base_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": "2024-02-05T23:08:46Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.3689766321642964, | |
| "all_grouped_npm": 0.0918381264358727, | |
| "all_grouped": { | |
| "enem_challenge": 0.4086773967809657, | |
| "bluex": 0.3908205841446453, | |
| "oab_exams": 0.35353075170842824, | |
| "assin2_rte": 0.36087257670772555, | |
| "assin2_sts": 0.3246306803889829, | |
| "faquad_nli": 0.4396551724137931, | |
| "sparrow_pt": 0.3046492630055339 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.4086773967809657, | |
| "harness|bluex|bluex|None|3": 0.3908205841446453, | |
| "harness|oab_exams|oab_exams|None|3": 0.35353075170842824, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.36087257670772555, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.3246306803889829, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.4396551724137931, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.04526272668895837, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3932038834951456, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.4065532997859911, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.3735771420520407 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.4086773967809657, | |
| "acc,exam_id__2015": 0.3949579831932773, | |
| "acc,exam_id__2012": 0.4482758620689655, | |
| "acc,exam_id__2017": 0.4396551724137931, | |
| "acc,exam_id__2009": 0.3826086956521739, | |
| "acc,exam_id__2023": 0.4444444444444444, | |
| "acc,exam_id__2016_2": 0.3821138211382114, | |
| "acc,exam_id__2010": 0.37606837606837606, | |
| "acc,exam_id__2014": 0.42201834862385323, | |
| "acc,exam_id__2013": 0.37962962962962965, | |
| "acc,exam_id__2022": 0.45112781954887216, | |
| "acc,exam_id__2011": 0.358974358974359, | |
| "acc,exam_id__2016": 0.4132231404958678, | |
| "main_score": 0.4086773967809657 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.3908205841446453, | |
| "acc,exam_id__UNICAMP_2022": 0.5128205128205128, | |
| "acc,exam_id__UNICAMP_2019": 0.36, | |
| "acc,exam_id__UNICAMP_2023": 0.4186046511627907, | |
| "acc,exam_id__UNICAMP_2018": 0.2777777777777778, | |
| "acc,exam_id__UNICAMP_2020": 0.4909090909090909, | |
| "acc,exam_id__USP_2024": 0.3902439024390244, | |
| "acc,exam_id__UNICAMP_2021_2": 0.49019607843137253, | |
| "acc,exam_id__USP_2022": 0.30612244897959184, | |
| "acc,exam_id__USP_2019": 0.3, | |
| "acc,exam_id__USP_2021": 0.2692307692307692, | |
| "acc,exam_id__USP_2023": 0.4318181818181818, | |
| "acc,exam_id__UNICAMP_2021_1": 0.45652173913043476, | |
| "acc,exam_id__UNICAMP_2024": 0.5111111111111111, | |
| "acc,exam_id__USP_2020": 0.39285714285714285, | |
| "acc,exam_id__USP_2018": 0.2962962962962963, | |
| "main_score": 0.3908205841446453 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.35353075170842824, | |
| "acc,exam_id__2012-06a": 0.3625, | |
| "acc,exam_id__2015-17": 0.3333333333333333, | |
| "acc,exam_id__2012-06": 0.3625, | |
| "acc,exam_id__2014-15": 0.48717948717948717, | |
| "acc,exam_id__2016-20": 0.4125, | |
| "acc,exam_id__2013-10": 0.35, | |
| "acc,exam_id__2012-07": 0.275, | |
| "acc,exam_id__2011-03": 0.2828282828282828, | |
| "acc,exam_id__2011-05": 0.3375, | |
| "acc,exam_id__2016-19": 0.3974358974358974, | |
| "acc,exam_id__2017-23": 0.3625, | |
| "acc,exam_id__2017-22": 0.425, | |
| "acc,exam_id__2018-25": 0.325, | |
| "acc,exam_id__2014-13": 0.3375, | |
| "acc,exam_id__2017-24": 0.35, | |
| "acc,exam_id__2010-01": 0.36470588235294116, | |
| "acc,exam_id__2014-14": 0.3625, | |
| "acc,exam_id__2011-04": 0.3375, | |
| "acc,exam_id__2013-12": 0.325, | |
| "acc,exam_id__2015-16": 0.35, | |
| "acc,exam_id__2016-21": 0.325, | |
| "acc,exam_id__2013-11": 0.3625, | |
| "acc,exam_id__2012-08": 0.375, | |
| "acc,exam_id__2016-20a": 0.2625, | |
| "acc,exam_id__2012-09": 0.4025974025974026, | |
| "acc,exam_id__2010-02": 0.35, | |
| "acc,exam_id__2015-18": 0.35, | |
| "main_score": 0.35353075170842824 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "f1_macro,all": 0.36087257670772555, | |
| "acc,all": 0.5126633986928104, | |
| "main_score": 0.36087257670772555 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "pearson,all": 0.3246306803889829, | |
| "mse,all": 2.1545547385620916, | |
| "main_score": 0.3246306803889829 | |
| }, | |
| "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": 0.04526272668895837, | |
| "acc,all": 0.122, | |
| "main_score": 0.04526272668895837 | |
| }, | |
| "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": 0.4065532997859911, | |
| "acc,all": 0.554, | |
| "main_score": 0.4065532997859911 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.3735771420520407, | |
| "acc,all": 0.398, | |
| "main_score": 0.3735771420520407 | |
| } | |
| }, | |
| "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": 1609.0531840447866, | |
| "min_seq_length": 1347, | |
| "max_seq_length": 2592, | |
| "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": 1353.923504867872, | |
| "min_seq_length": 983, | |
| "max_seq_length": 2161, | |
| "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": 1378.713895216401, | |
| "min_seq_length": 1105, | |
| "max_seq_length": 1880, | |
| "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": 1283.6025326797385, | |
| "min_seq_length": 1260, | |
| "max_seq_length": 1354, | |
| "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": 1463.6025326797385, | |
| "min_seq_length": 1440, | |
| "max_seq_length": 1534, | |
| "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": 1541.9830769230769, | |
| "min_seq_length": 1487, | |
| "max_seq_length": 1660, | |
| "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": 1685.878, | |
| "min_seq_length": 1664, | |
| "max_seq_length": 1716, | |
| "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": 1677.074, | |
| "min_seq_length": 1653, | |
| "max_seq_length": 1715, | |
| "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": 1352.518, | |
| "min_seq_length": 1335, | |
| "max_seq_length": 1390, | |
| "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": 1510.93, | |
| "min_seq_length": 1493, | |
| "max_seq_length": 1544, | |
| "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 | |
| } | |
| } |