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kariver/detr-resnet-50_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-50sgdfinetuned_food-roboflow

This model is a fine-tuned version of facebook/detr-resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • —Loss: 7.6389

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
  • —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
7.28010.77507.6418
7.30841.541007.6658
7.33072.311507.5842
7.2873.082007.6073
7.33723.852507.7152
7.31684.623007.6034
7.36915.383507.6833
7.28936.154007.6372
7.33046.924507.6150
7.23947.695007.6044
7.44898.465507.6391
7.13539.236007.7143
7.378610.06507.6010
7.28910.777007.6191
7.294311.547507.6662
7.279112.318007.6043
7.266513.088507.6339
7.215713.859007.6102
7.30914.629507.6389

Framework versions

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