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microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad

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microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad / README.md
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metadata
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
  - object-detection
  - vision
  - generated_from_trainer
model-index:
  - name: microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad
    results: []

Visualize in Weights & Biases

microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-auto-pad

This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the cppe-5 dataset.

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
  • train_batch_size: 8
  • eval_batch_size: 1
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.18.0
  • Tokenizers 0.19.0