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nielsr/
lw-detr-medium-tray-detection-hub-only-20260318

Name: lw-detr-medium-tray-detection-hub-only-20260318
Availability: InStock

generated_from_trainer

AnnaZhang/lwdetr_medium_60e_coco

finetune

apache-2.0

endpoints_compatible

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lw-detr-medium-tray-detection-hub-only-20260318

This model is a fine-tuned version of AnnaZhang/lwdetr_medium_60e_coco on the nielsr/tray-cart-detection dataset. It achieves the following results on the evaluation set:

Loss: 9.2880
Map: 0.4055
Map 50: 0.7657
Map 75: 0.3614
Map Small: 0.6125
Map Medium: 0.3914
Map Large: 0.4873
Mar 1: 0.0546
Mar 10: 0.2910
Mar 100: 0.5057
Mar Small: 0.6500
Mar Medium: 0.4827
Mar Large: 0.625
Map Per Class: -1.0
Mar 100 Per Class: -1.0

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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 300.0

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 Per Class	Mar 100 Per Class
8.0492	1.0	25	7.8232	0.1652	0.3683	0.1351	0.3055	0.1838	0.2362	0.0377	0.1680	0.3097	0.4048	0.2896	0.4227	-1.0	-1.0
5.7853	2.0	50	8.3375	0.2639	0.5252	0.2167	0.5030	0.2466	0.3591	0.0521	0.2079	0.3554	0.5238	0.3238	0.5281	-1.0	-1.0
5.1159	3.0	75	8.5082	0.3164	0.6151	0.2783	0.5282	0.3066	0.4141	0.0554	0.2546	0.4179	0.5286	0.3890	0.5959	-1.0	-1.0
4.7585	4.0	100	8.0637	0.3393	0.6523	0.2817	0.5503	0.3173	0.4593	0.0471	0.2580	0.4282	0.5667	0.3990	0.5948	-1.0	-1.0
4.4794	5.0	125	8.1759	0.3702	0.6980	0.3255	0.4978	0.3525	0.5115	0.0567	0.2883	0.4696	0.5524	0.4502	0.5898	-1.0	-1.0
4.1522	6.0	150	8.7684	0.3566	0.6683	0.3460	0.5822	0.3486	0.4392	0.0511	0.2909	0.4744	0.6167	0.4420	0.6686	-1.0	-1.0
4.0433	7.0	175	8.7586	0.3809	0.6992	0.3621	0.5667	0.3654	0.4508	0.0471	0.2840	0.4632	0.5810	0.4458	0.5529	-1.0	-1.0
3.8814	8.0	200	9.0159	0.3902	0.6974	0.3938	0.5650	0.3734	0.4823	0.0528	0.3042	0.4884	0.5786	0.4596	0.6772	-1.0	-1.0
3.7870	9.0	225	9.0429	0.3751	0.6772	0.3674	0.5636	0.3736	0.4276	0.0496	0.3020	0.4825	0.5786	0.4649	0.5817	-1.0	-1.0
3.8028	10.0	250	8.8489	0.3966	0.7258	0.3695	0.5808	0.3793	0.4897	0.0545	0.3057	0.5032	0.6548	0.4824	0.6098	-1.0	-1.0
3.7564	11.0	275	9.2880	0.4055	0.7657	0.3614	0.6125	0.3914	0.4873	0.0546	0.2910	0.5057	0.6500	0.4827	0.625	-1.0	-1.0
3.5252	12.0	300	8.4772	0.4145	0.7268	0.4125	0.5592	0.3910	0.5481	0.0617	0.3097	0.5042	0.5929	0.4813	0.6476	-1.0	-1.0
3.4193	13.0	325	8.7813	0.4061	0.7129	0.4105	0.6016	0.3908	0.4599	0.0538	0.2945	0.4851	0.6262	0.4695	0.5547	-1.0	-1.0
3.4001	14.0	350	8.9167	0.4022	0.7140	0.4039	0.6261	0.4022	0.4391	0.0603	0.3052	0.5015	0.6548	0.4838	0.5804	-1.0	-1.0
3.3815	15.0	375	9.0609	0.4045	0.7122	0.4165	0.5877	0.3865	0.5211	0.0615	0.3159	0.5138	0.6024	0.4885	0.6765	-1.0	-1.0
3.3989	16.0	400	9.2987	0.4160	0.7049	0.4306	0.5777	0.4138	0.4709	0.0644	0.3036	0.5127	0.6095	0.5008	0.5719	-1.0	-1.0
3.2819	17.0	425	9.5489	0.4205	0.7231	0.4555	0.5317	0.4170	0.5092	0.0592	0.3084	0.5143	0.5452	0.4999	0.6180	-1.0	-1.0
3.2328	18.0	450	9.3740	0.3874	0.7158	0.3733	0.5045	0.3802	0.4962	0.0590	0.3124	0.4855	0.5048	0.4685	0.6100	-1.0	-1.0
3.0993	19.0	475	9.2795	0.4019	0.6884	0.4294	0.5814	0.3953	0.4658	0.0644	0.3124	0.5019	0.5881	0.4809	0.6294	-1.0	-1.0
3.1321	20.0	500	8.6734	0.4245	0.7250	0.4522	0.5469	0.4087	0.5776	0.0635	0.3207	0.5244	0.5667	0.5071	0.6412	-1.0	-1.0
3.1509	21.0	525	9.6896	0.4147	0.7268	0.4000	0.5629	0.3901	0.5810	0.0646	0.3007	0.4908	0.5643	0.4641	0.6692	-1.0	-1.0

Framework versions

Transformers 5.3.0.dev0
Pytorch 2.10.0+cu128
Datasets 4.8.2
Tokenizers 0.22.2

nielsr/lw-detr-medium-tray-detection-hub-only-20260318

lw-detr-medium-tray-detection-hub-only-20260318

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nielsr/
lw-detr-medium-tray-detection-hub-only-20260318