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kariver/detr-resnet-101_adagrad_finetuned_food-roboflow

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

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detr-resnet-101adagradfinetuned_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: 5.9027

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: 4
  • —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
6.7080.77506.6090
6.26221.541006.3841
6.10832.311506.3279
6.13023.082006.1396
6.06683.852506.1742
5.97884.623006.1002
5.90655.383506.0478
5.85976.154005.9363
5.81886.924505.9914
5.75997.695005.8783
5.67328.465505.9710
5.7439.236006.0130
5.634110.06505.8789
5.626510.777005.8644
5.716411.547505.9142
5.610412.318005.9677
5.657213.088505.8372
5.709413.859005.8269
5.745614.629505.9027

Framework versions

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