README.md

mrm8488/bert-tiny-finetuned-sms-spam-detection results

nous results

Benchmark	Model	agieval	bigbench	gpt4all	truthfulqa	Average
nous	bert-tiny-finetuned-sms-spam-detection	22.95	28.75	36.07	48.09	33.97

agieval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	20.87	±	2.55
		acc_norm	21.26	±	2.57
agieval_logiqa_en	0	acc	22.43	±	1.64
		acc_norm	26.88	±	1.74
agieval_lsat_ar	0	acc	19.13	±	2.60
		acc_norm	20.87	±	2.69
agieval_lsat_lr	0	acc	14.90	±	1.58
		acc_norm	21.57	±	1.82
agieval_lsat_rc	0	acc	21.19	±	2.50
		acc_norm	15.61	±	2.22
agieval_sat_en	0	acc	26.70	±	3.09
		acc_norm	26.21	±	3.07
agieval_sat_en_without_passage	0	acc	25.24	±	3.03
		acc_norm	25.73	±	3.05
agieval_sat_math	0	acc	24.09	±	2.89
		acc_norm	25.45	±	2.94

Average: 22.95%

bigbench

Task	Version	Metric	Value		Stderr
bigbench_causal_judgement	0	multiple_choice_grade	47.89	±	3.63
bigbench_date_understanding	0	multiple_choice_grade	9.49	±	1.53
bigbench_disambiguation_qa	0	multiple_choice_grade	30.23	±	2.86
bigbench_geometric_shapes	0	multiple_choice_grade	10.03	±	1.59
		exact_str_match	0.00	±	0.00
bigbench_logical_deduction_five_objects	0	multiple_choice_grade	19.60	±	1.78
bigbench_logical_deduction_seven_objects	0	multiple_choice_grade	14.57	±	1.33
bigbench_logical_deduction_three_objects	0	multiple_choice_grade	33.67	±	2.73
bigbench_movie_recommendation	0	multiple_choice_grade	27.80	±	2.01
bigbench_navigate	0	multiple_choice_grade	48.90	±	1.58
bigbench_reasoning_about_colored_objects	0	multiple_choice_grade	13.45	±	0.76
bigbench_ruin_names	0	multiple_choice_grade	54.24	±	2.36
bigbench_salient_translation_error_detection	0	multiple_choice_grade	16.83	±	1.18
bigbench_snarks	0	multiple_choice_grade	45.86	±	3.71
bigbench_sports_understanding	0	multiple_choice_grade	49.70	±	1.59
bigbench_temporal_sequences	0	multiple_choice_grade	27.10	±	1.41
bigbench_tracking_shuffled_objects_five_objects	0	multiple_choice_grade	20.16	±	1.14
bigbench_tracking_shuffled_objects_seven_objects	0	multiple_choice_grade	14.29	±	0.84
bigbench_tracking_shuffled_objects_three_objects	0	multiple_choice_grade	33.67	±	2.73

Average: 28.75%

gpt4all

Task	Version	Metric	Value		Stderr
arc_challenge	0	acc	22.18	±	1.21
		acc_norm	25.85	±	1.28
arc_easy	0	acc	25.08	±	0.89
		acc_norm	24.03	±	0.88
boolq	1	acc	47.86	±	0.87
hellaswag	0	acc	25.69	±	0.44
		acc_norm	26.31	±	0.44
openbookqa	0	acc	17.40	±	1.70
		acc_norm	29.60	±	2.04
piqa	0	acc	52.12	±	1.17
		acc_norm	49.40	±	1.17
winogrande	0	acc	49.41	±	1.41

Average: 36.07%

truthfulqa

Task	Version	Metric	Value		Stderr
truthfulqa_mc	1	mc1	22.52	±	1.46
		mc2	48.09	±	1.59

Average: 48.09%

Average score: 33.97%

Metadata: {'elapsed_time': '02:32:24', 'gpu': 'NVIDIA GeForce RTX 4090'}