detr-r50-mist1-bg-8ah-6l

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

  • Loss: 2.1031

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: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.6794 1.0 115 2.8222
3.0269 2.0 230 2.8120
2.8681 3.0 345 2.7980
2.752 4.0 460 2.4853
2.7715 5.0 575 2.4140
2.6846 6.0 690 2.4715
2.6236 7.0 805 2.4614
2.5318 8.0 920 2.3441
2.5224 9.0 1035 2.2837
2.4661 10.0 1150 2.2510
2.4313 11.0 1265 2.3339
2.4125 12.0 1380 2.2957
2.4113 13.0 1495 2.2358
2.3784 14.0 1610 2.2635
2.3199 15.0 1725 2.2320
2.3321 16.0 1840 2.2250
2.3305 17.0 1955 2.2020
2.2932 18.0 2070 2.1826
2.2952 19.0 2185 2.1626
2.2663 20.0 2300 2.1573
2.2916 21.0 2415 2.1653
2.2703 22.0 2530 2.1444
2.2431 23.0 2645 2.1374
2.2243 24.0 2760 2.1276
2.2413 25.0 2875 2.1031

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1
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