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

Loss: 5.2641

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	4	5.5331
No log	2.0	8	5.5277
5.4377	3.0	12	5.4450
5.4377	4.0	16	5.3960
5.1582	5.0	20	5.3349
5.1582	6.0	24	5.3144
5.1582	7.0	28	5.2738
5.0556	8.0	32	5.2641
5.0556	9.0	36	5.2848
4.9784	10.0	40	5.2792

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.13.1
Tokenizers 0.13.3

amyeroberts/detr-resnet-50-base-coco

detr-resnet-50-base-coco

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

amyeroberts/
detr-resnet-50-base-coco