detr-finetuned-cppe-5-10k-steps

Rajerswari/detr-finetuned-cppe-5-10k-steps

detr-finetuned-cppe-5-10k-steps is a object detection model from Rajerswari. Use it when you need objects located in an image. It is set up for transformers. 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

Task: Object Detection
Library: transformers
License: apache-2.0
Model type: detr
Access: Public
Created: May 8, 2025
Updated: May 8, 2025
SHA: 9d547903

Base models

facebook/detr-resnet-50

Model card

From the Hugging Face model README

detr-finetuned-cppe-5-10k-steps

This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset. It achieves the following results on the evaluation set:

Loss: 1.6238
Map: 0.1619
Map 50: 0.3226
Map 75: 0.1429
Map Small: 0.0501
Map Medium: 0.129
Map Large: 0.227
Mar 1: 0.1773
Mar 10: 0.3167
Mar 100: 0.3392
Mar Small: 0.128
Mar Medium: 0.2626
Mar Large: 0.4711
Map Coverall: 0.4278
Mar 100 Coverall: 0.6532
Map Face Shield: 0.1078
Mar 100 Face Shield: 0.2937
Map Gloves: 0.0679
Mar 100 Gloves: 0.2991
Map Goggles: 0.0102
Mar 100 Goggles: 0.0985
Map Mask: 0.1959
Mar 100 Mask: 0.3516

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: 4
eval_batch_size: 8
seed: 1337
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Coverall	Map Face Shield	Map Gloves	Map Goggles	Map Mask	Map Large	Map Medium	Map Small	Mar 1	Mar 10	Mar 100	Mar 100 Coverall	Mar 100 Face Shield	Mar 100 Gloves	Mar 100 Goggles	Mar 100 Mask	Mar Large	Mar Medium	Mar Small
2.5499	1.0	213	2.3248	0.0367	0.0798	0.0325	0.1697	0.0	0.0078	0.0	0.0058	0.0417	0.0114	0.0018	0.0555	0.1278	0.1648	0.5104	0.0	0.1813	0.0	0.1324	0.2026	0.1044	0.0416
2.1119	2.0	426	2.0867	0.0493	0.1064	0.0379	0.1978	0.0	0.0253	0.0	0.0236	0.0574	0.0304	0.0072	0.0805	0.1667	0.2069	0.5874	0.0	0.204	0.0	0.2431	0.2325	0.1572	0.073
2.0052	3.0	639	2.1689	0.0563	0.1279	0.0441	0.0154	0.0414	0.0688	0.0818	0.1611	0.1793	0.0616	0.131	0.2199	0.2039	0.4757	0.0	0.0	0.0158	0.1942	0.0	0.0	0.0618	0.2267
1.9373	4.0	852	1.9264	0.0813	0.1755	0.0679	0.0125	0.056	0.0953	0.0916	0.1816	0.206	0.0662	0.1446	0.2549	0.3464	0.6302	0.0	0.0	0.0245	0.2004	0.0	0.0	0.0357	0.1996
1.8396	5.0	1065	1.8418	0.0958	0.208	0.0731	0.0194	0.0751	0.1163	0.116	0.2195	0.2399	0.095	0.1802	0.2939	0.3278	0.6054	0.0228	0.1127	0.031	0.2071	0.0	0.0	0.0975	0.2742
1.7659	6.0	1278	1.8737	0.1004	0.2399	0.0791	0.0377	0.0913	0.1207	0.1226	0.2204	0.2382	0.0808	0.1912	0.295	0.2906	0.5856	0.0439	0.1165	0.0497	0.2281	0.0	0.0	0.1178	0.2609
1.6415	7.0	1491	1.7200	0.1305	0.2822	0.105	0.044	0.1026	0.172	0.1505	0.2689	0.2891	0.1047	0.2239	0.386	0.3916	0.6257	0.0516	0.1962	0.0526	0.2554	0.0059	0.0523	0.1508	0.316
1.6405	8.0	1704	1.6820	0.1411	0.2866	0.1303	0.0542	0.1162	0.1854	0.1572	0.2867	0.3088	0.1204	0.2432	0.4042	0.4147	0.6347	0.0549	0.2468	0.0592	0.271	0.0053	0.0631	0.1713	0.3284
1.5513	9.0	1917	1.6380	0.1546	0.3144	0.1307	0.0569	0.1215	0.2131	0.17	0.3014	0.323	0.112	0.2563	0.4431	0.4352	0.6414	0.0804	0.2544	0.0657	0.2871	0.0062	0.0846	0.1853	0.3476
1.5564	10.0	2130	1.6238	0.1619	0.3226	0.1429	0.0501	0.129	0.227	0.1773	0.3167	0.3392	0.128	0.2626	0.4711	0.4278	0.6532	0.1078	0.2937	0.0679	0.2991	0.0102	0.0985	0.1959	0.3516

Framework versions

Transformers 4.52.0.dev0
Pytorch 2.7.0+cu118
Datasets 3.6.0
Tokenizers 0.21.1

Task: Object Detection
Library: transformers
Type: detr
License: apache-2.0
Created: May 8, 2025
Updated: May 8, 2025