ball_action_spotting

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P
1	Num	Name	Date	Base experiment	Description	Commit	Folds							CV	challenge	test
2	Num	Name	Date	Base experiment	Description	Commit	0	1	2	3	4	5	6	CV	challenge	test

3	1	focal_folds_001	2023-04-12	focal_loss_007	Train focal_loss_007 on 7 folds	96af63c65bcb94abc71e29886234c2117111bd2a	0.742327	0.807538	0.691190	0.817664	0.766477	0.830676	0.848611	0.786355	81.818525
4	2	bce_folds_001	2023-04-14	focal_folds_001	"loss": "BCEWithLogitsLoss"	3d827610ad2a26abcf15293cb3c52be581885145	0.689051	0.813572	0.677341	0.813134	0.773133	0.833337	0.845884	0.777922
5	3	sampling_weights_001	2023-04-19	focal_folds_001	Sampling weights: action_window_size=9, action_prob=0.5	a28bc3442cb49d3aa3f05a6d1c11204d412a7123	0.755117	0.801254	0.718799	0.809653	0.767556	0.830511	0.851231	0.790589		84.25855851
6	4	sampling_weights_002	2023-04-20	sampling_weights_001	pred_experiment="focal_folds_001", clear_pred_window_size=27	58c7d3414933bfa2db356943ff61c651f2f4e815	0.771376	0.797898
7	5	sampling_weights_003	2023-04-20	sampling_weights_002	pred_experiment="focal_folds_001", clear_pred_window_size=33	b56dcbcbb3a969c7b367323e6da54741100137fa	0.769869
8	6	sampling_weights_004	2023-04-20	sampling_weights_002	pred_experiment="focal_folds_001", clear_pred_window_size=21	e2001dd3d3ca8530e8b1d13e7049b2d1aec9d937	0.765492
9	7	sampling_weights_005	2023-04-21	sampling_weights_002	action_prob=0.4	6b666804a67770a6cd78a53cf1ae4fa450a1137f	0.766002
10	8	sampling_weights_006	2023-04-21	sampling_weights_002	action_prob=0.6	0155f6270f4a32dc0de535550da036e09d6d5459	0.766482
11	9	sampling_weights_007	2023-04-21	sampling_weights_002	pred_experiment="sampling_weights_001"	748f7a669d9a0cfd41adb2a38362b3241df7f624	0.758321	0.803874	0.675431	0.816486	0.779437	0.828099	0.857751	0.788486	82.559904
12	10	mixup_folds_001	2023-04-25	sampling_weights_007	"mixup_alpha": 1., "prob": 1., "mode": "elem", "label_smoothing": 0.	da04c8c6e0931b8282eb42b940822ba7f5281fab	0.764781	0.792981	0.700355	0.798451	0.781509	0.828175	0.851505	0.788251
13	11	ball_action_pretrain_001	2023-05-05	sampling_weights_007	Pretrained weights from action spotting experiment action_spotting_006	4eca40b788444caebc0d67c8aea1b7b0b51bf499							0.865990
14	12	ball_action_pretrain_002	2023-05-05	ball_action_pretrain_001	Pretrained experiment action_merge_cards_001	fb95fa122f6f6b3be08d727870fdde345f43a9be							0.859089
15	13	ball_action_pretrain_003	2023-05-05	ball_action_pretrain_002	num_epochs=[4, 20]	e455e58cb09b990a9cbce01ec9e718117e02cb6d							0.856104
16	14	ball_action_pretrain_004	2023-05-06	ball_action_pretrain_001	Pretrained experiment action_sampling_weights_001	08e05e194e05fc3d23652813eba2232e30660b71							0.864760
17	15	ball_action_pretrain_005	2023-05-06	ball_action_pretrain_004	BASE_LR = 1e-4	5fb1b7e9bb2c14aeb4e545318c1cc9ec57ac3f78							0.862179
18	16	ball_action_pretrain_007	2023-05-07	ball_action_pretrain_004	Pretrained experiment action_sampling_weights_002, num_epochs=[7, 35]	a9aa7350bed05ae419e43b1708aaea22a9fcb924							0.868279
19	17	ball_tuning_001	2023-05-07	ball_action_pretrain_007	focal_loss "alpha": 0.4	6e9afbdb4f471ad3b9ce07206e48ba03bed7f181	0.807515	0.826143	0.632878	0.848491	0.827539	0.859333	0.870615	0.810359	86.346887	86.51151789
20	18	ball_tuning_002	2023-05-07	ball_action_pretrain_007	focal_loss "alpha": 0.3	d83838d055987a960e30d576003d639f0ba4c22c							0.866715
21	19	ball_window_size_001	2023-05-08	ball_action_pretrain_007	max_targets_window_size=17, "distance": 17	595a5206fe7e00e624ab02a783f4daca895e21ee							0.864807
22	20	ball_action_transfer_001	2023-05-08	ball_tuning_001	ema_decay=0.9992, num_epochs=[8, 40]	80a54cb1a5541b98c6e57684725772672507ec19						0.850899	0.864698
23	21	ball_simple_sampling_001	2023-05-12	ball_tuning_001	pred_experiment="", clear_pred_window_size=9	ca3998950ed43ace06a764c52173c06acbbe1cf5	0.801772	0.794930	0.692371	0.841734	0.823980	0.841717	0.862459	0.808423
24	22	ball_mixup_prob_001	2023-05-12	ball_tuning_001	"mixup_alpha": 1., "prob": 0.75, num_epochs=[10, 50]	6f51ffd2be67b435727f25a270720b0ea51b7fbb							0.868402
25	23	ball_overlap_001	2023-05-13	ball_tuning_001	multidim_overlapper, "overlap_step": 5, "encoder_2d_frames": 9, "encoder_2d_step": 2, pretrain_model_path=""	0d419f13bd3b4621aea6679ee4a26939a0901ed8							0.847390
26	24	ball_finetune_long_001	2023-05-13	ball_tuning_001	pretrain_ball_experiment="ball_tuning_001", "freeze_conv2d_encoder": True, FRAME_STACK_SIZE = 33, num_epochs=[1, 5]	b8c72db9ca61059560fafb5c37c9f48ae66c4572							0.872164
27	25	ball_finetune_long_002	2023-05-13	ball_finetune_long_001	num_epochs=[2, 10]	7df26341ccf50cfe571e58ca0af145306ea98a82							0.871144
28	26	ball_finetune_long_004	2023-05-14	ball_finetune_long_001	BASE_LR = 1e-3, min_base_lr=BASE_LR * 0.05, num_epochs=[2, 7], SGD (momentum=0.9, nesterov=True)	dc37ae74862d2b66b3d108b077d82f4096614445	0.795439	0.779716	0.647234	0.854397	0.810985	0.871236	0.875101	0.804873	86.471155	87.03983872
29	27	ball_finetune_long_005	2023-05-14	ball_finetune_long_004	FRAME_STACK_SIZE = 15	14eb5bc4a009602a24eeee6b3a43510c3c32d405							0.869736
30	28	ball_finetune_long_006	2023-05-14	ball_finetune_long_004	num_epochs=[2, 10]	2efd71ea0c75a3a678193fc8c02e0eaac85bf980							0.873655
31	29	ball_finetune_long_007	2023-05-14	ball_finetune_long_004	BASE_LR = 3e-3	8264bbd9671c114b75d56a8aceeae949d0b5a331							0.873198
32	30	ball_finetune_long_008	2023-05-14	ball_finetune_long_004	"drop_rate": 0.5	5edda7a26cfaaea548ce67ecae2e7a251c50f26b	0.795661					0.869609	0.873799
33	31	ball_finetune_long_009	2023-05-14	ball_finetune_long_004	FRAME_STACK_SIZE = 39	b31b22cc576d353921a17f5d3fa4fdfc21410f2c							0.873206
34	32	ball_finetune_long_010	2023-05-14	ball_finetune_long_004	FRAME_STACK_SIZE = 51	68e41e6d0e2aa0fb3267955340761bb5f4952977							0.873547
35	33	ball_finetune_long_011	2023-05-14	ball_finetune_long_004	FRAME_STACK_SIZE = 63	da7bebad6632451eb879be45dece6bf8beba32d3							0.873611
36	34	ball_transfer_action_001	2023-05-14	ball_tuning_001	pred_experiment="ball_simple_sampling_001"	6a0b01d57244f6363b32fae5698d846464cc7633	0.807050					0.847479	0.870802
37	35	ball_finetune_long_013	2023-05-14	ball_finetune_long_004	FRAME_STACK_SIZE = 27	4d80f586c314137457dde7efc8c889e4c2c7c99e							0.873425
38	36	ball_finetune_long_014	2023-05-14	ball_finetune_long_004	FRAME_STACK_SIZE = 21	b8493dfa8f61a9038887649c5e6aee6abf7deafd							0.871741
39	37	ball_finetune_long_015	2023-05-14	ball_finetune_long_004	BASE_LR = 0.0015	ac5ec69d7a4bc8f1d60bf78f93aee8a7669a7136						0.870223	0.874341
40	38	ball_finetune_long_016	2023-05-14	ball_finetune_long_004	ema_decay=0.998	73efbe81564802fb1817a4348bf91d45981df195						0.868657	0.873956
41	39	ball_resize_001	2023-05-16	sampling_weights_007	normalize_resize, IMAGE_SIZE = (1024, 576)	318f416649ba63c8bd916ad03418c8926be3e61d	0.763609					0.828512	0.852878
42	40	ball_resize_003	2023-05-16	ball_resize_001	IMAGE_SIZE = (864, 480)	ae456ca41c308f4076a7eb1d2cdbb4eea7cbdf2f						0.820552	0.851471
43	41	ball_sgd_tuning_002	2023-05-16	ball_tuning_001	BASE_LR = 3e-3, SGD (momentum=0.9, nesterov=True)	b3dff64a3caba17f7fcb82d303123be19595130d							0.834852
44	42	bigger_batch_001	2023-05-18	ball_tuning_001	batch_size = 8, ema_decay=0.998	d7a461518223f98186f5d629777a66027fff9f0d						0.856308
45	43	bigger_batch_003	2023-05-18	bigger_batch_001	"iter_size": 2	7cce672d69a5464f2ab3b42ec769e559cbc3b02a						0.856854
46	44	hard_samples_weights_001	2023-05-19	sampling_weights_001	pretrain_action_experiment="action_pretrained_001"	a0bfd4c9d05241633c6aed80e94d39f983ed57b1	0.779171	0.807538	0.663018	0.843921	0.814778	0.844244	0.844828	0.799643
47	45	ball_action_spotting_001	2023-05-19	ball_tuning_001	pred_experiment="hard_samples_weights_001", pretrain_action_experiment="action_pretrained_001"	460f3e32b7622940d82bdf1177783d0a9ab14d1d						0.851731	0.866313
48	46	ball_action_spotting_002	2023-05-19	ball_tuning_001	pred_experiment="hard_samples_weights_001", pretrain_action_experiment="action_sampling_weights_002"	98de2c9d4f6cf14e47e4bbf099c1c4bcb65ed677						0.846832	0.868230
49	47	ball_action_spotting_003	2023-05-19	ball_tuning_001	pred_experiment="sampling_weights_001", pretrain_action_experiment="action_pretrained_001"	dddeab326a09f4158dc631d1d438c11ca6847efc						0.852092	0.852295
50	48	positional_encoding_004	2023-05-20	ball_tuning_001	"positional_encoding": True	bb8a0680b64ed0310cc5b3cb8557ad22582abc25						0.855675	0.867249
51	49	posenc_tune_long_001	2023-05-20	ball_finetune_long_004	"positional_encoding": True	c41a33efc9df20cc88d74ae8f3197e412cc0311f	0.795728	0.778233	0.646209	0.856140	0.810985	0.871025	0.874156	0.804639
52	50	ball_action_spotting_004	2023-05-21	action_tuning_001	pretrain_action_experiment="action_pretrained_002"	df8b0cf2d962ddd156ad3b1071ba8811b91a8403							0.864769
53	51	ball_action_spotting_005	2023-05-21	ball_action_spotting_005	frame_stack_size = 27, "iter_size": 2	0f49e5b4a601a5049a39a242abc36f61117a1582	0.793399	0.705010	0.631112	0.849083	0.805887	0.861499	0.870962	0.788136
54	52	ball_action_spotting_007	2023-05-21	ball_action_spotting_005	"drop_rate": 0.5	662d5619f028eea6957c19db091a0d93c76cfbaf							0.863361
55	53	ball_action_spotting_008	2023-05-22	ball_action_spotting_005	num_epochs=[5, 25]	f4a098c42ae31ea299ee80d27108c6d228be4017							0.860972
56	54	ball_action_spotting_009	2023-05-23	ball_tuning_001	frame_index_shaker "weights": [0.1, 0.8, 0.1]	099ef5fd4c4db3d0081ab80f4db9135200aa2250						0.851027
57	55	ball_action_spotting_012	2023-05-23	ball_tuning_001	batch_size = 16, ema_decay=0.996, "iter_size": 4	4129b07596705d6e0800c316f7b3f8647644df37						0.853991
58	56	ball_action_spotting_013	2023-05-23	ball_action_spotting_012	base_lr = 0.00015	4d5e5607864977df43b4c6709408e3c6601d08d7						0.856706
59	57	ball_action_spotting_014	2023-05-23	ball_tuning_001	batch_size = 8, base_lr = 2e-4, ema_decay=0.998, "iter_size": 2	e4205d263ce204cb9503f58fc3d526cfe6d92b7c						0.853505
60	58	ball_action_spotting_016	2023-05-23	ball_action_spotting_014	base_lr = 3e-4	da6c23c41ae3664e78bca26d499619da75376af4						0.856584
61	59	ball_action_spotting_018	2023-05-23	ball_tuning_001	frame_stack_size = 33, "frame_stack_step": 1, "iter_size": 2, "weights": [0.1, 0.8, 0.1]	90fdeaed57d7f76ac1cccb435da81167fe351385
62	60	ball_action_spotting_021	2023-05-23	ball_action_spotting_018	frame_stack_size = 39	90dc40417acb543aa3f115adf305d19799837333						0.832615
63	61	ball_action_spotting_024	2023-05-24	ball_action_spotting_018	frame_stack_size = 51, "iter_size": 4	c2d05f85db7618f9a1dce1bcc9cfd2381f3800c5
64	62	ball_action_spotting_025	2023-05-24	ball_action_spotting_018	frame_stack_size = 57, "iter_size": 4	aeaf4dd5b7caf4c9453fa1587db1a013d99b84d4
65	63	ball_action_spotting_027	2023-05-24	ball_action_spotting_021	"mixup_alpha": 1., "prob": 1., "mode": "elem", "label_smoothing": 0., num_nvdec_workers=1	7a0064a57d625c4fd6de622a749e8d3e55572cf6						0.853340
66	64	ball_action_spotting_028	2023-05-24	ball_action_spotting_021	min_base_lr=base_lr * 0.05, num_epochs=[8, 8]	d41c364972c922da8b86eaa57c930c83695e3052						0.855265	0.866315
67	65	ball_action_spotting_029	2023-05-24	ball_action_spotting_021	min_base_lr=base_lr * 0.05, num_epochs=[3, 15]	49448347a5eeff4765f3cad93f992a3b9270ffc0						0.819533
68	66	ball_action_spotting_030	2023-05-24	ball_action_spotting_027	num_epochs=[10, 20]	5b95f9842e1a5aed157de802939198f2e0c1575b						0.839401
69	67	ball_action_spotting_031	2023-05-24	ball_action_spotting_027	num_epochs=[15, 15]	d4decf7fa30012ae2b86df9e955cf72f0f79179a						0.854499
70	68	ball_action_spotting_032	2023-05-24	ball_action_spotting_027	num_epochs=[20, 10]	1c18f2de8f541c24dfedee23ba505f2c953cc770						0.849455
71	69	ball_action_spotting_033	2023-05-24	ball_action_spotting_027	num_epochs=[8, 16]	38e13507ad8342f53bf5e42b82037e8afb3b3624						0.854614
72	70	ball_action_spotting_034	2023-05-24	ball_tuning_001	num_epochs=[8, 8]	33c2d543a0e7b4191d2f5cfc41e75210b57bfa5c	0.804051					0.855446	0.864361
73	71	ball_action_spotting_035	2023-05-24	ball_tuning_001	min_base_lr=base_lr * 0.05, num_epochs=[8, 8]	669c1e1731ada0f52e6aa9fc9c610e7654c27ab5						0.853070
74	72	ball_action_spotting_036	2023-05-25	ball_tuning_001	num_epochs=[8, 16]	ab6d0299d4c79cc0917f2576b9a66f75f4dcd7fe						0.853440
75	73	finetune_long_seq_001	2023-05-25	ball_finetune_long_004	num_epochs=[4, 4]	549ee0d4b2046e419947d548d1f337b0fe2ff621	0.795400	0.781894	0.646600	0.853465	0.809254	0.871023	0.874448	0.804583
76	74	finetune_long_seq_002	2023-05-25	finetune_long_seq_001	num_epochs=[5, 5]	ac687d94452cec01a5bbce7592a8ecffb225118f						0.870852	0.874909
77	75	finetune_long_seq_003	2023-05-25	finetune_long_seq_001	num_epochs=[3, 3]	6ba4c921008389d1928087693f02dff841a9b04e	0.793865					0.869550	0.874731
78	76	ball_action_spotting_037	2023-05-26	ball_action_spotting_028	pretrain_action_experiment="action_pretrained_009"	9614313da177c8eae8ec5970e3002cd219c5e36d							0.863797
79	77	ball_tuning_b1_002	2023-05-27	ball_tuning_001	"model_name": "tf_efficientnetv2_b1.in1k", pretrain_action_experiment="action_sampling_weights_b1_002", num_epochs=[8, 8]	7520954a4a034c041f3fd5b004f9837209265f53	0.794097	0.787250	0.681533	0.825466	0.808484	0.851243	0.861353	0.801346
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