learning_rate: 0.0008
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 4
num_epochs: 60

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 Tray	Mar 100 Tray	Map Cart	Mar 100 Cart
No log	1.0	7	3.0398	0.0018	0.0071	0.0002	0.0011	0.0023	0.0056	0.0	0.0049	0.0446	0.0571	0.0344	0.1157	0.0018	0.0311	0.0018	0.0581
No log	2.0	14	4.0643	0.0001	0.0003	0.0	0.0	0.0001	0.0005	0.0	0.0016	0.005	0.0	0.0038	0.0158	0.0	0.0019	0.0001	0.0081
No log	3.0	21	3.5934	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0004	0.0	0.0005	0.0	0.0	0.0008	0.0	0.0
No log	4.0	28	3.2675	0.0	0.0002	0.0	0.0	0.0001	0.0002	0.0	0.0025	0.0046	0.0	0.0046	0.0068	0.0001	0.0043	0.0	0.0048
No log	5.0	35	3.5102	0.0002	0.0009	0.0	0.0	0.0003	0.0005	0.0	0.0008	0.0063	0.0	0.0048	0.0205	0.0003	0.0109	0.0	0.0016
No log	6.0	42	3.1096	0.0001	0.0008	0.0	0.0	0.0003	0.0001	0.0001	0.0006	0.0055	0.0	0.0052	0.0098	0.0003	0.0111	0.0	0.0
No log	7.0	49	3.5679	0.0001	0.0005	0.0	0.0	0.0003	0.0001	0.0002	0.001	0.0043	0.0	0.004	0.0083	0.0002	0.0087	0.0	0.0
No log	8.0	56	3.2223	0.0002	0.001	0.0	0.0	0.0002	0.001	0.0001	0.0019	0.0067	0.0	0.0041	0.0287	0.0002	0.0101	0.0001	0.0032
No log	9.0	63	3.1136	0.0002	0.0009	0.0	0.0003	0.0003	0.0001	0.0	0.0003	0.0075	0.019	0.0063	0.0129	0.0004	0.0149	0.0	0.0
No log	10.0	70	3.4638	0.0002	0.001	0.0	0.0001	0.0003	0.0006	0.0	0.001	0.0039	0.0024	0.0035	0.0068	0.0004	0.0077	0.0	0.0
No log	11.0	77	3.8443	0.0001	0.0008	0.0	0.0	0.0002	0.0003	0.0	0.0007	0.0047	0.0	0.0038	0.0129	0.0003	0.0093	0.0	0.0
No log	12.0	84	3.7676	0.0012	0.0037	0.001	0.0004	0.0025	0.0011	0.0004	0.0023	0.0091	0.0167	0.0057	0.0348	0.0024	0.0183	0.0	0.0
No log	13.0	91	4.1044	0.0001	0.0004	0.0	0.0004	0.0001	0.0001	0.0	0.0002	0.0031	0.0071	0.0021	0.0098	0.0001	0.0063	0.0	0.0
No log	14.0	98	3.3460	0.0	0.0002	0.0	0.0	0.0001	0.0	0.0	0.0	0.0026	0.0	0.0024	0.0053	0.0001	0.0053	0.0	0.0
No log	15.0	105	3.7025	0.0	0.0001	0.0	0.0003	0.0001	0.0	0.0	0.0002	0.0022	0.0048	0.0022	0.0008	0.0	0.0043	0.0	0.0
No log	16.0	112	3.9109	0.0003	0.0014	0.0	0.0008	0.0001	0.0005	0.0	0.0002	0.0019	0.0024	0.0019	0.0023	0.0005	0.0039	0.0	0.0
No log	17.0	119	4.0892	0.0001	0.0004	0.0	0.0	0.0001	0.0002	0.0	0.0002	0.0022	0.0	0.0019	0.0061	0.0001	0.0045	0.0	0.0
No log	18.0	126	4.1155	0.0002	0.0007	0.0	0.0017	0.0001	0.0005	0.0	0.0003	0.0029	0.0048	0.0019	0.0106	0.0004	0.0058	0.0	0.0
No log	19.0	133	4.4061	0.0002	0.0007	0.0	0.005	0.0001	0.0006	0.0002	0.0006	0.0032	0.0048	0.0021	0.0114	0.0003	0.0064	0.0	0.0
No log	20.0	140	4.4481	0.0002	0.0009	0.0	0.0	0.0003	0.0005	0.0002	0.0016	0.0041	0.0	0.0029	0.0152	0.0005	0.0082	0.0	0.0
No log	21.0	147	4.2778	0.0001	0.0003	0.0	0.0	0.0001	0.0001	0.0	0.0006	0.003	0.0	0.0021	0.0106	0.0001	0.0059	0.0	0.0
No log	22.0	154	4.2637	0.0	0.0003	0.0	0.0	0.0001	0.0002	0.0	0.0004	0.0027	0.0	0.0018	0.0114	0.0001	0.0055	0.0	0.0
No log	23.0	161	4.2993	0.0	0.0002	0.0	0.0	0.0001	0.0002	0.0	0.0005	0.003	0.0	0.0021	0.0114	0.0001	0.0059	0.0	0.0
No log	24.0	168	4.2119	0.0001	0.0008	0.0	0.0	0.0002	0.0004	0.0	0.0009	0.0038	0.0	0.0023	0.0167	0.0002	0.0075	0.0	0.0
No log	25.0	175	4.4769	0.0001	0.0006	0.0	0.0	0.0003	0.0001	0.0	0.0021	0.0045	0.0	0.0039	0.0114	0.0001	0.0058	0.0001	0.0032
No log	26.0	182	5.2503	0.0001	0.0004	0.0	0.0	0.0004	0.0003	0.0006	0.001	0.0024	0.0	0.0013	0.0121	0.0003	0.0048	0.0	0.0
No log	27.0	189	5.1224	0.0	0.0002	0.0	0.0	0.0001	0.0002	0.0	0.0005	0.002	0.0	0.0013	0.0083	0.0001	0.004	0.0	0.0
No log	28.0	196	4.8295	0.0	0.0002	0.0	0.0	0.0001	0.0001	0.0	0.0006	0.0021	0.0	0.0011	0.0106	0.0001	0.0042	0.0	0.0
No log	29.0	203	4.9043	0.0	0.0001	0.0	0.0	0.0001	0.0	0.0	0.0001	0.001	0.0	0.0008	0.003	0.0	0.0021	0.0	0.0
No log	30.0	210	5.0416	0.0	0.0001	0.0	0.0	0.0001	0.0	0.0	0.0003	0.0024	0.0	0.0021	0.0053	0.0001	0.0048	0.0	0.0
No log	31.0	217	4.3854	0.0001	0.0005	0.0	0.0	0.0001	0.0	0.0	0.0003	0.0029	0.0	0.0023	0.0083	0.0002	0.0058	0.0	0.0
No log	32.0	224	4.3899	0.0001	0.0005	0.0	0.0	0.0001	0.0001	0.0	0.0002	0.0024	0.0	0.0021	0.0061	0.0002	0.0048	0.0	0.0
No log	33.0	231	4.5799	0.0002	0.0011	0.0	0.0026	0.0003	0.0001	0.0	0.0001	0.0052	0.0071	0.0049	0.0076	0.0004	0.0104	0.0	0.0
No log	34.0	238	4.3265	0.0003	0.002	0.0	0.0	0.0005	0.0	0.0	0.0013	0.0034	0.0	0.0035	0.0038	0.0006	0.0051	0.0001	0.0016
No log	35.0	245	3.7093	0.0001	0.0006	0.0	0.0	0.0001	0.0004	0.0	0.0004	0.0034	0.0	0.0022	0.0136	0.0002	0.0067	0.0	0.0
No log	36.0	252	3.5999	0.0002	0.0011	0.0	0.0	0.0003	0.0	0.0002	0.0006	0.0043	0.0	0.0047	0.003	0.0003	0.0087	0.0	0.0
No log	37.0	259	3.8728	0.0002	0.0006	0.0	0.0	0.0002	0.0	0.0	0.0004	0.0021	0.0	0.0021	0.0023	0.0003	0.0042	0.0	0.0
No log	38.0	266	3.5254	0.0002	0.0013	0.0	0.0005	0.0003	0.0002	0.0	0.0008	0.0042	0.0048	0.0035	0.0091	0.0004	0.0083	0.0	0.0
No log	39.0	273	3.6118	0.0003	0.0022	0.0	0.0	0.0004	0.0003	0.0001	0.001	0.0059	0.0	0.0059	0.0076	0.0005	0.0101	0.0	0.0016
No log	40.0	280	3.7298	0.0001	0.0007	0.0	0.0001	0.0001	0.0003	0.0	0.0002	0.0018	0.0048	0.0016	0.003	0.0002	0.0037	0.0	0.0
No log	41.0	287	3.8030	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0002	0.0	0.0002	0.0	0.0	0.0003	0.0	0.0
No log	42.0	294	4.3011	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0003	0.0003	0.0	0.0004	0.0	0.0	0.0006	0.0	0.0
No log	43.0	301	4.3878	0.0	0.0001	0.0	0.0	0.0	0.0	0.0	0.0002	0.0002	0.0	0.0003	0.0	0.0	0.0005	0.0	0.0
No log	44.0	308	4.2560	0.0	0.0002	0.0	0.0	0.0001	0.0	0.0002	0.0002	0.001	0.0	0.001	0.0015	0.0001	0.0021	0.0	0.0
No log	45.0	315	4.0952	0.0	0.0001	0.0	0.0	0.0	0.0	0.0	0.0002	0.0014	0.0	0.001	0.0045	0.0	0.0027	0.0	0.0
No log	46.0	322	4.6935	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
No log	47.0	329	4.4015	0.0	0.0002	0.0	0.0002	0.0001	0.0	0.0	0.0001	0.0017	0.0048	0.0018	0.0	0.0001	0.0034	0.0	0.0
No log	48.0	336	3.8424	0.0001	0.0003	0.0	0.0004	0.0002	0.0	0.0004	0.0005	0.002	0.0071	0.0019	0.0015	0.0001	0.004	0.0	0.0
No log	49.0	343	4.1566	0.0005	0.001	0.0007	0.0004	0.0008	0.001	0.0002	0.0007	0.003	0.0143	0.0027	0.0023	0.0009	0.0061	0.0	0.0
No log	50.0	350	4.2641	0.0006	0.0019	0.0	0.0004	0.0006	0.0	0.0006	0.001	0.0025	0.0024	0.0026	0.0015	0.0012	0.005	0.0	0.0
No log	51.0	357	4.0037	0.0002	0.0009	0.0	0.0	0.0003	0.0	0.0	0.0008	0.0043	0.0	0.0046	0.0038	0.0004	0.0087	0.0	0.0
No log	52.0	364	3.8360	0.0012	0.0052	0.0	0.0005	0.0008	0.002	0.0004	0.0004	0.0033	0.0167	0.0029	0.0023	0.0024	0.0066	0.0	0.0
No log	53.0	371	4.0386	0.0002	0.0014	0.0	0.0	0.0003	0.0001	0.0	0.0007	0.0045	0.0	0.004	0.0098	0.0004	0.009	0.0	0.0
No log	54.0	378	3.4694	0.0001	0.0003	0.0	0.0005	0.0002	0.0	0.0	0.0	0.0038	0.0095	0.0034	0.0053	0.0001	0.0075	0.0	0.0
No log	55.0	385	3.0383	0.0001	0.0005	0.0	0.0006	0.0002	0.0	0.0	0.0001	0.0047	0.0095	0.0048	0.003	0.0002	0.0095	0.0	0.0
No log	56.0	392	3.0222	0.0001	0.0006	0.0	0.0001	0.0005	0.0	0.0002	0.0006	0.0051	0.0024	0.0051	0.0061	0.0002	0.0103	0.0	0.0
No log	57.0	399	3.0688	0.0001	0.0008	0.0	0.0008	0.0001	0.0002	0.0	0.0001	0.0051	0.0214	0.0032	0.0152	0.0002	0.0101	0.0	0.0
No log	58.0	406	3.3060	0.001	0.0052	0.0	0.0	0.0011	0.0001	0.0002	0.0003	0.0039	0.0	0.0033	0.0106	0.0021	0.0079	0.0	0.0
No log	59.0	413	4.0649	0.0001	0.0005	0.0	0.0	0.0001	0.0003	0.0	0.0006	0.0039	0.0	0.0017	0.0227	0.0002	0.0077	0.0	0.0
No log	60.0	420	3.9548	0.0	0.0001	0.0	0.0	0.0001	0.0	0.0	0.0	0.0027	0.0	0.0028	0.003	0.0001	0.0055	0.0	0.0

Framework versions

Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2

nielsr/lwdetr-tiny-tray-cart-rf100-lr-20260303-222437

lwdetr-tiny-tray-cart-rf100-lr-20260303-222437

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nielsr/
lwdetr-tiny-tray-cart-rf100-lr-20260303-222437