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kariver/detr-resnet-101_sgd_finetuned_food-roboflow

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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detr-resnet-101sgdfinetuned_food-roboflow

This model is a fine-tuned version of facebook/detr-resnet-101 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.9270

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 15
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
6.73670.77506.2388
5.91031.541005.4768
4.89182.311504.3742
3.8273.082003.8198
3.41293.852503.3190
3.03294.623003.1967
2.82955.383503.1841
2.85996.154003.1155
2.78626.924503.1008
2.78857.695003.0490
2.67378.465503.0872
2.76799.236003.0429
2.609310.06502.9775
2.631610.777003.0016
2.580111.547502.9701
2.600912.318002.8919
2.584113.088502.9398
2.539413.859002.9266
2.518914.629502.9270

Framework versions

  • —Transformers 4.35.0
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1