detr_finetuned_bccd

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

• Loss: 0.8838
• Map: 0.0368
• Map 50: 0.0564
• Map 75: 0.0438
• Map Small: 0.0
• Map Medium: 0.0353
• Map Large: 0.1501
• Mar 1: 0.0036
• Mar 10: 0.0554
• Mar 100: 0.2313
• Mar Small: 0.0
• Mar Medium: 0.2278
• Mar Large: 0.3658
• Map Platelets: 0.0
• Mar 100 Platelets: 0.0
• Map Rbc: 0.1104
• Mar 100 Rbc: 0.694
• Map Wbc: 0.0
• Mar 100 Wbc: 0.0

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: 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

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Platelets	Mar 100 Platelets	Map Rbc	Mar 100 Rbc	Map Wbc	Mar 100 Wbc
No log	1.0	26	0.9519	0.034	0.0546	0.0401	0.0	0.0303	0.1656	0.0054	0.0529	0.2208	0.0	0.2194	0.3384	0.0	0.0	0.1019	0.6623	0.0	0.0
No log	2.0	52	0.8838	0.0368	0.0564	0.0438	0.0	0.0353	0.1501	0.0036	0.0554	0.2313	0.0	0.2278	0.3658	0.0	0.0	0.1104	0.694	0.0	0.0

Framework versions

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