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detr-resnet-101_adafactor_finetuned_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: 3.1003

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
6.5311 0.77 50 6.4188
5.6597 1.54 100 5.8132
5.1568 2.31 150 5.1265
4.4672 3.08 200 4.3264
3.8033 3.85 250 3.9444
3.2053 4.62 300 3.6319
3.127 5.38 350 3.3079
2.9082 6.15 400 3.1760
2.8546 6.92 450 3.1659
2.8393 7.69 500 3.0233
2.6973 8.46 550 3.0817
2.7047 9.23 600 3.0849
2.673 10.0 650 3.1122
2.6781 10.77 700 3.0709
2.5901 11.54 750 3.0382
2.6568 12.31 800 3.0246
2.5929 13.08 850 3.0384
2.5709 13.85 900 2.9862
2.5784 14.62 950 3.1003

Framework versions

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