detr-fashionpedia – AI Model by FeurCoubeh | AlphaNeural AI

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FeurCoubeh/
detr-fashionpedia

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object-detection

generated_from_trainer

facebook/detr-resnet-50

endpoints_compatible

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detr-fashionpedia

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: 1.0287

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
1.6001	1.0	375	1.5145
1.4698	2.0	750	1.4395
1.3702	3.0	1125	1.3227
1.2664	4.0	1500	1.3307
1.287	5.0	1875	1.2940
1.2507	6.0	2250	1.2642
1.2807	7.0	2625	1.2435
1.2166	8.0	3000	1.1998
1.2728	9.0	3375	1.1896
1.2158	10.0	3750	1.1862
1.1148	11.0	4125	1.1395
1.1143	12.0	4500	1.0830
1.0765	13.0	4875	1.1258
1.0614	14.0	5250	1.1276
1.045	15.0	5625	1.0669
1.0366	16.0	6000	1.0610
1.0357	17.0	6375	1.0663
1.0147	18.0	6750	1.0335
0.9858	19.0	7125	1.0646
0.8789	20.0	7500	1.0382

Framework versions

Transformers 4.45.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.20.3