intelli-zen/detr_cppe5_object_detection

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detrcppe5object_detection

This model is a fine-tuned version of qgyd2021/detr_cppe5_object_detection on the cppe5 dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0644

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 200

Training results

Framework versions

• —Transformers 4.33.0
• —Pytorch 2.0.0
• —Datasets 2.1.0
• —Tokenizers 0.13.3