detr_fashionpedia_4cat – AI Model by SansanderSa | AlphaNeural AI

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SansanderSa/
detr_fashionpedia_4cat

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object-detection

generated_from_trainer

facebook/detr-resnet-50

endpoints_compatible

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detr_fashionpedia_4cat

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: 1.5919

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	94	4.4474
4.35	2.0	188	4.0507
4.0018	3.0	282	3.4614
3.4206	4.0	376	2.6122
2.6373	5.0	470	2.1421
2.1656	6.0	564	1.9358
1.9312	7.0	658	1.8075
1.7873	8.0	752	1.7616
1.7104	9.0	846	1.7005
1.6826	10.0	940	1.6789

Framework versions

Transformers 4.51.3
Pytorch 2.4.1+cu121
Datasets 3.5.0
Tokenizers 0.21.1