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metadata
tags:
  - generated_from_trainer
datasets:
  - polejowska/cd45rb
model-index:
  - name: detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd
    results: []

detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd

This model is a fine-tuned version of on the cd45rb_nan_xywh dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5819

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
2.3194 1.0 4606 1.7874
2.3461 2.0 9212 1.8376
2.3028 3.0 13818 1.9087
2.2979 4.0 18424 1.9066
2.273 5.0 23030 1.7689
2.2372 6.0 27636 1.8501
2.2429 7.0 32242 1.7625
2.2066 8.0 36848 1.7588
2.1914 9.0 41454 1.7062
2.1553 10.0 46060 1.7069
2.1302 11.0 50666 1.6863
2.1321 12.0 55272 1.7722
2.1227 13.0 59878 1.6639
2.087 14.0 64484 1.6486
2.0676 15.0 69090 1.6632
2.0604 16.0 73696 1.6429
2.0435 17.0 78302 1.6224
2.0241 18.0 82908 1.6321
2.0041 19.0 87514 1.5970
1.9966 20.0 92120 1.5943
2.0165 21.0 96726 1.6092
2.007 22.0 101332 1.5986
2.0009 23.0 105938 1.5931
1.992 24.0 110544 1.5898
1.9769 25.0 115150 1.5819

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.13.3