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kariver/detr-resnet-101_adafactor_finetuned_food-roboflow

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

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detr-resnet-101adafactorfinetuned_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
  • —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
6.53110.77506.4188
5.65971.541005.8132
5.15682.311505.1265
4.46723.082004.3264
3.80333.852503.9444
3.20534.623003.6319
3.1275.383503.3079
2.90826.154003.1760
2.85466.924503.1659
2.83937.695003.0233
2.69738.465503.0817
2.70479.236003.0849
2.67310.06503.1122
2.678110.777003.0709
2.590111.547503.0382
2.656812.318003.0246
2.592913.088503.0384
2.570913.859002.9862
2.578414.629503.1003

Framework versions

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