learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Bin	Map Hand	Map Large	Map Medium	Map Not Bin	Map Not Hand	Map Not Trash	Map Small	Map Trash	Map Trash Arm	Mar 1	Mar 10	Mar 100	Mar 100 Bin	Mar 100 Hand	Mar 100 Not Bin	Mar 100 Not Hand	Mar 100 Not Trash	Mar 100 Trash	Mar 100 Trash Arm	Mar Large	Mar Medium	Mar Small
61.0002	1.0	99	15.2461	0.2878	0.4135	0.3138	0.6102	0.5428	0.2955	0.0907	0.013	-1.0	0.0391	0.0188	0.5218	0.0	0.3104	0.4788	0.5515	0.8511	0.8176	0.3286	-1.0	0.5611	0.7504	0.0	0.5801	0.3756	0.15
20.2622	2.0	198	11.0607	0.3966	0.5492	0.4472	0.682	0.4783	0.416	0.2504	0.0315	-1.0	0.1484	0.065	0.5927	0.4468	0.4785	0.6461	0.7488	0.8837	0.802	0.6214	-1.0	0.5806	0.7717	0.8333	0.7825	0.433	0.3
16.8192	3.0	297	10.6279	0.4234	0.5866	0.4979	0.6857	0.4725	0.4404	0.1608	0.0297	-1.0	0.1889	0.1143	0.6056	0.5582	0.5068	0.6498	0.7181	0.8674	0.8	0.5	-1.0	0.5903	0.7841	0.7667	0.753	0.3835	0.3
15.062	4.0	396	9.9305	0.4518	0.6257	0.5146	0.7459	0.5363	0.466	0.2175	0.054	-1.0	0.2358	0.185	0.585	0.5539	0.5164	0.6851	0.7499	0.8943	0.8147	0.55	-1.0	0.6222	0.785	0.8333	0.7807	0.4193	0.4
13.7257	5.0	495	9.8895	0.436	0.6177	0.512	0.7475	0.4603	0.4533	0.2587	0.0544	-1.0	0.2198	0.06	0.598	0.5362	0.5093	0.6776	0.7229	0.8957	0.8088	0.5	-1.0	0.6208	0.7788	0.7333	0.7573	0.4091	0.3
12.8647	6.0	594	9.9595	0.4303	0.6248	0.5199	0.723	0.4792	0.4452	0.2223	0.0486	-1.0	0.2155	0.1286	0.6215	0.4942	0.4933	0.6604	0.7055	0.873	0.802	0.5071	-1.0	0.6167	0.7673	0.6667	0.7338	0.4	0.3
12.0576	7.0	693	9.4153	0.4513	0.6264	0.5265	0.7643	0.4492	0.4693	0.211	0.0415	-1.0	0.2474	0.0675	0.6363	0.5692	0.5277	0.6996	0.7426	0.8922	0.7824	0.5643	-1.0	0.6556	0.7947	0.7667	0.7712	0.4614	0.35
11.2359	8.0	792	9.5170	0.4771	0.655	0.5539	0.7583	0.4758	0.494	0.2926	0.0661	-1.0	0.2451	0.0303	0.6501	0.6673	0.5331	0.6997	0.7398	0.8943	0.799	0.4857	-1.0	0.6625	0.7973	0.8	0.7641	0.4932	0.3
10.6301	9.0	891	9.7439	0.4534	0.6356	0.5248	0.742	0.4354	0.4738	0.2788	0.0892	-1.0	0.246	0.0227	0.6385	0.5692	0.5247	0.6838	0.739	0.8865	0.7843	0.5357	-1.0	0.6569	0.8035	0.7667	0.7622	0.4864	0.4
10.2602	10.0	990	9.6275	0.4672	0.6559	0.546	0.7377	0.4683	0.487	0.2697	0.0629	-1.0	0.2531	0.0186	0.6416	0.6394	0.5265	0.6818	0.7353	0.878	0.7902	0.5214	-1.0	0.6625	0.7929	0.7667	0.7603	0.4727	0.4

Framework versions

Transformers 4.55.2
Pytorch 2.9.1
Datasets 4.5.0
Tokenizers 0.21.4

bigsmoke07/rt_detrv2_finetuned_trashify_box_detector_v1

rt_detrv2_finetuned_trashify_box_detector_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bigsmoke07/
rt_detrv2_finetuned_trashify_box_detector_v1