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Jesse020202/detr_finetuned_cppe5_comparison

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face
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detrfinetunedcppe5_comparison

This model is a fine-tuned version of Jesse020202/cppe5_setup_on_roadsign_test on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3939

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: 20

Training results

Training LossEpochStepValidation Loss
No log1.01071.6000
No log2.02141.5764
No log3.03211.5325
No log4.04281.5211
1.37965.05351.5157
1.37966.06421.5043
1.37967.07491.4820
1.37968.08561.4862
1.37969.09631.4591
1.285710.010701.4494
1.285711.011771.4363
1.285712.012841.4385
1.285713.013911.4152
1.285714.014981.4067
1.186815.016051.4171
1.186816.017121.3954
1.186817.018191.3961
1.186818.019261.3974
1.118719.020331.3943
1.118720.021401.3939

Framework versions

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