rtdetr-v2-r50-cppe5-finetune-2

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rtdetr-v2-r50-cppe5-finetune-2

This model is a fine-tuned version of PekingU/rtdetr_v2_r50vd on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 17.0789
• Map: 0.1629
• Map 50: 0.2497
• Map 75: 0.158
• Map Small: 0.0436
• Map Medium: 0.0817
• Map Large: 0.2721
• Mar 1: 0.2131
• Mar 10: 0.4365
• Mar 100: 0.527
• Mar Small: 0.1714
• Mar Medium: 0.4158
• Mar Large: 0.7652
• Map Coverall: 0.4861
• Mar 100 Coverall: 0.7923
• Map Face Shield: 0.0563
• Mar 100 Face Shield: 0.5765
• Map Gloves: 0.1063
• Mar 100 Gloves: 0.4034
• Map Goggles: 0.0087
• Mar 100 Goggles: 0.3
• Map Mask: 0.157
• Mar 100 Mask: 0.5627

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: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• num_epochs: 1

Training results

Framework versions

• Transformers 4.53.0
• Pytorch 2.7.1+cu126
• Datasets 3.6.0
• Tokenizers 0.21.2