detr-resnet-50_fine_tuned_loc-2023

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detr-resnet-50_fine_tuned_loc-2023

For new projects, consider small-models-for-glam/historic-newspaper-illustrations-yolov11 — a more recent YOLO-based detector for illustrations in historic newspaper pages, faster at inference. This DETR model is kept for reproducibility.

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

• Loss: 0.8784

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3