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detr-r50-cd45rb-2ah-6l

Object Detection
Transformers
PyTorch
detr
Generated from Trainer
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detr-r50-cd45rb-2ah-6l / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - cd45rb
base_model: facebook/detr-resnet-50
model-index:
  - name: detr-r50-cd45rb-2ah-6l
    results: []

detr-r50-cd45rb-2ah-6l

This model is a fine-tuned version of facebook/detr-resnet-50 on the cd45rb dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0706

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: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.4851 1.0 4606 2.4806
2.995 2.0 9212 2.2761
2.7717 3.0 13818 2.1601
2.674 4.0 18424 2.0849
2.6185 5.0 23030 2.0706

Framework versions

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