CoolFace
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ceebdev/detr-fashionpedia

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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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: 1.6505

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
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: cosine
  • lrschedulerwarmup_ratio: 0.1
  • num_epochs: 10
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
4.12511.01253.8414
2.39462.02502.2576
2.07643.03751.9349
1.85774.05001.7802
1.77535.06251.7106
1.73066.07501.6355
1.65497.08751.5866
1.6348.010001.5723
1.63459.011251.5614
1.689410.012501.5593

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.7.0+cu126
  • Datasets 3.5.0
  • Tokenizers 0.21.1