detr-r50-mist1-bg-8ah-4l – AI Model by polejowska | AlphaNeural AI

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polejowska/
detr-r50-mist1-bg-8ah-4l

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object-detection

generated_from_trainer

facebook/detr-resnet-50

endpoints_compatible

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detr-r50-mist1-bg-8ah-4l

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

Loss: 2.9274

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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.4466	1.0	115	3.8127
3.85	2.0	230	3.8636
3.8198	3.0	345	3.6179
3.6799	4.0	460	3.4558
3.5806	5.0	575	3.2328
3.4958	6.0	690	3.3407
3.4662	7.0	805	3.1567
3.4295	8.0	920	3.0499
3.3977	9.0	1035	3.0460
3.3853	10.0	1150	3.0481
3.3608	11.0	1265	3.0337
3.2873	12.0	1380	3.0535
3.3164	13.0	1495	3.0140
3.2745	14.0	1610	3.0667
3.2691	15.0	1725	3.0134
3.2735	16.0	1840	3.0207
3.2718	17.0	1955	3.0004
3.2504	18.0	2070	3.1082
3.243	19.0	2185	2.9369
3.1669	20.0	2300	2.9596
3.1844	21.0	2415	2.9170
3.1979	22.0	2530	2.9344
3.1702	23.0	2645	2.9262
3.1738	24.0	2760	2.9251
3.1606	25.0	2875	2.9274

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1