CoolFace
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Jesse020202/detr_finetuned_roadsigns

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face
0likes35downloads
Model Card

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detrfinetunedroadsigns

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

  • —Loss: 0.9152

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: 5e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —num_epochs: 25

Training results

Training LossEpochStepValidation Loss
No log1.0352.4704
No log2.0701.6563
No log3.01051.5779
No log4.01401.5352
No log5.01751.4800
No log6.02101.2647
No log7.02451.3520
No log8.02801.2205
No log9.03151.2303
No log10.03501.1987
No log11.03851.0827
No log12.04201.0480
No log13.04551.0071
No log14.04901.0634
3.488515.05250.9846
3.488516.05600.9775
3.488517.05950.9928
3.488518.06300.9659
3.488519.06650.9488
3.488520.07000.9296
3.488521.07350.9195
3.488522.07700.9125
3.488523.08050.9158
3.488524.08400.9151
3.488525.08750.9152

Framework versions

  • —Transformers 4.56.2
  • —Pytorch 2.8.0
  • —Datasets 4.1.1
  • —Tokenizers 0.22.1