detr_finetuned_cppe5

• Loss: 1.7756
• Map: 0.0254
• Map 50: 0.0575
• Map 75: 0.0211
• Map Small: 0.015
• Map Medium: 0.0121
• Map Large: 0.0356
• Mar 1: 0.0618
• Mar 10: 0.1553
• Mar 100: 0.1996
• Mar Small: 0.0818
• Mar Medium: 0.1728
• Mar Large: 0.2326
• Map Coverall: 0.0809
• Mar 100 Coverall: 0.4441
• Map Face Shield: 0.0051
• Mar 100 Face Shield: 0.1025
• Map Gloves: 0.0031
• Mar 100 Gloves: 0.1482
• Map Goggles: 0.0022
• Mar 100 Goggles: 0.0585
• Map Mask: 0.0358
• Mar 100 Mask: 0.2444

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 2

Training results

Framework versions

• Transformers 4.55.4
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.21.4