deformable_detr_finetuned_rsna_2018

furion-123/deformable_detr_finetuned_rsna_2018

deformable_detr_finetuned_rsna_2018 is a machine learning model from furion-123. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: apache-2.0
Model type: deformable_detr
Access: Public
Created: Aug 19, 2024
Updated: Aug 19, 2024
SHA: 39b73fa4

Base models

SenseTime/deformable-detr

Datasets

imagefolder

Model card

From the Hugging Face model README

deformable_detr_finetuned_rsna_2018

This model is a fine-tuned version of SenseTime/deformable-detr on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 1.1784
Map: 0.1070
Map 50: 0.2451
Map 75: 0.0775
Map Small: 0.0225
Map Medium: 0.1112
Map Large: 0.1525
Mar 1: 0.1582
Mar 10: 0.4060
Mar 100: 0.6497
Mar Small: 0.3167
Mar Medium: 0.6607
Mar Large: 0.7767
Map Pneumonia: 0.1070
Mar 100 Pneumonia: 0.6497

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Pneumonia	Mar 100 Pneumonia
No log	1.0	301	1.5776	0.0290	0.0947	0.0092	0.0027	0.0320	0.0329	0.0576	0.2553	0.4849	0.0667	0.4968	0.6628	0.0290	0.4849
1.8843	2.0	602	1.5194	0.0623	0.1806	0.0287	0.0285	0.0565	0.2087	0.0932	0.2880	0.4894	0.0900	0.5034	0.6349	0.0623	0.4894
1.8843	3.0	903	1.4116	0.0840	0.2315	0.0439	0.0162	0.0785	0.2462	0.1110	0.3184	0.5424	0.1300	0.5573	0.6884	0.0840	0.5424
1.4595	4.0	1204	1.4335	0.0640	0.1683	0.0328	0.0366	0.0652	0.1351	0.1041	0.3313	0.5402	0.0900	0.5573	0.6907	0.0640	0.5402
1.4125	5.0	1505	1.4249	0.0681	0.1879	0.0344	0.0517	0.0653	0.1600	0.1137	0.3120	0.5298	0.1133	0.5424	0.7000	0.0681	0.5298
1.4125	6.0	1806	1.4030	0.0620	0.1636	0.0316	0.0570	0.0615	0.1675	0.1269	0.3244	0.5518	0.1067	0.5659	0.7279	0.0620	0.5518
1.396	7.0	2107	1.3371	0.0755	0.2010	0.0418	0.0611	0.0794	0.2684	0.1149	0.3116	0.5708	0.2333	0.5834	0.6860	0.0755	0.5708
1.396	8.0	2408	1.3428	0.0761	0.2083	0.0380	0.0438	0.0785	0.2026	0.1238	0.3190	0.5712	0.1633	0.5868	0.7070	0.0761	0.5712
1.3424	9.0	2709	1.3000	0.0720	0.1792	0.0420	0.0746	0.0739	0.1360	0.1348	0.3385	0.5867	0.2000	0.5985	0.7442	0.0720	0.5867
1.3113	10.0	3010	1.2955	0.0774	0.1925	0.0482	0.0407	0.0759	0.1505	0.1356	0.3511	0.5915	0.2233	0.6027	0.7419	0.0774	0.5915
1.3113	11.0	3311	1.2706	0.0902	0.2191	0.0595	0.0668	0.0904	0.1601	0.1418	0.3588	0.6133	0.1933	0.6305	0.7419	0.0902	0.6133
1.2808	12.0	3612	1.2623	0.0870	0.2131	0.0593	0.0560	0.0900	0.1509	0.1356	0.3449	0.6041	0.25	0.6141	0.7558	0.0870	0.6041
1.2808	13.0	3913	1.2412	0.0940	0.2286	0.0562	0.0285	0.0996	0.1058	0.1470	0.3843	0.6159	0.2567	0.6283	0.7488	0.0940	0.6159
1.2554	14.0	4214	1.2547	0.0838	0.2087	0.0590	0.0256	0.0949	0.1144	0.1482	0.3704	0.6174	0.2567	0.6305	0.7442	0.0838	0.6174
1.2427	15.0	4515	1.2478	0.0905	0.2212	0.0563	0.0814	0.1071	0.1178	0.1474	0.3770	0.6203	0.2200	0.6354	0.7558	0.0905	0.6203
1.2427	16.0	4816	1.2225	0.0972	0.2415	0.0638	0.0354	0.1005	0.1391	0.1513	0.3754	0.6246	0.2833	0.6378	0.7372	0.0972	0.6246
1.2246	17.0	5117	1.2105	0.0999	0.2357	0.0755	0.0248	0.1057	0.1150	0.1530	0.3981	0.6244	0.2800	0.6339	0.7744	0.0999	0.6244
1.2246	18.0	5418	1.2324	0.0813	0.1970	0.0535	0.0207	0.0854	0.1488	0.1209	0.3621	0.6176	0.2967	0.6293	0.7302	0.0813	0.6176
1.2085	19.0	5719	1.1992	0.1033	0.2369	0.0718	0.0431	0.1040	0.1668	0.1598	0.4002	0.6366	0.2900	0.6490	0.7605	0.1033	0.6366
1.1883	20.0	6020	1.2163	0.0978	0.2356	0.0640	0.0291	0.1030	0.1321	0.1545	0.3994	0.6282	0.2767	0.6410	0.7512	0.0978	0.6282
1.1883	21.0	6321	1.2100	0.0995	0.2346	0.0701	0.0353	0.1059	0.1336	0.1547	0.3983	0.6311	0.2567	0.6446	0.7628	0.0995	0.6311
1.1775	22.0	6622	1.1979	0.1014	0.2343	0.0735	0.0210	0.1080	0.1287	0.1636	0.3915	0.6333	0.3000	0.6446	0.7581	0.1014	0.6333
1.1775	23.0	6923	1.1840	0.1019	0.2410	0.0697	0.0213	0.1050	0.1525	0.1615	0.4000	0.6427	0.3100	0.6551	0.7558	0.1019	0.6427
1.1678	24.0	7224	1.1822	0.1066	0.2445	0.0802	0.0245	0.1113	0.1572	0.1689	0.4021	0.6487	0.3200	0.6612	0.7581	0.1066	0.6487
1.1604	25.0	7525	1.1796	0.1042	0.2409	0.0773	0.0253	0.1082	0.1478	0.1660	0.3954	0.6482	0.2933	0.6605	0.7791	0.1042	0.6482
1.1604	26.0	7826	1.1830	0.1035	0.2390	0.0771	0.0189	0.1084	0.1452	0.1615	0.3921	0.6395	0.3200	0.6502	0.7605	0.1035	0.6395
1.1551	27.0	8127	1.1789	0.1082	0.2489	0.0823	0.0236	0.1139	0.1521	0.1636	0.3959	0.6497	0.3033	0.6624	0.7698	0.1082	0.6497
1.1551	28.0	8428	1.1784	0.1057	0.2429	0.0764	0.0223	0.1104	0.1471	0.1561	0.4033	0.6482	0.3133	0.6600	0.7698	0.1057	0.6482
1.1471	29.0	8729	1.1783	0.1068	0.2452	0.0773	0.0222	0.1114	0.1501	0.1576	0.4054	0.6480	0.3133	0.6595	0.7721	0.1068	0.6480
1.1449	30.0	9030	1.1784	0.1070	0.2451	0.0775	0.0225	0.1112	0.1525	0.1582	0.4060	0.6497	0.3167	0.6607	0.7767	0.1070	0.6497

Framework versions

Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: deformable_detr
License: apache-2.0
Created: Aug 19, 2024
Updated: Aug 19, 2024