kvasir_rtdetrv2_test

This model is a fine-tuned version of jadechoghari/RT-DETRv2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.8149
• Map: 0.0657
• Map 50: 0.1006
• Map 75: 0.0712
• Map Small: -1.0
• Map Medium: 0.0571
• Map Large: 0.071
• Mar 1: 0.1401
• Mar 10: 0.1678
• Mar 100: 0.174
• Mar Small: -1.0
• Mar Medium: 0.0798
• Mar Large: 0.1863
• Map Ampulla of vater: 0.0
• Mar 100 Ampulla of vater: 0.0
• Map Angiectasia: 0.0001
• Mar 100 Angiectasia: 0.0095
• Map Blood - fresh: 0.3714
• Mar 100 Blood - fresh: 0.5984
• Map Blood - hematin: 0.0
• Mar 100 Blood - hematin: 0.0
• Map Erosion: 0.0
• Mar 100 Erosion: 0.0
• Map Erythema: 0.0
• Mar 100 Erythema: 0.0
• Map Foreign body: 0.1034
• Mar 100 Foreign body: 0.3956
• Map Lymphangiectasia: 0.1651
• Mar 100 Lymphangiectasia: 0.4861
• Map Normal clean mucosa: 0.0
• Mar 100 Normal clean mucosa: 0.0
• Map Polyp: 0.0169
• Mar 100 Polyp: 0.2509
• Map Ulcer: -1.0
• Mar 100 Ulcer: -1.0

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: 12
• eval_batch_size: 1
• seed: 42
• optimizer: Use 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

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 Ampulla of vater	Mar 100 Ampulla of vater	Map Angiectasia	Mar 100 Angiectasia	Map Blood - fresh	Mar 100 Blood - fresh	Map Blood - hematin	Mar 100 Blood - hematin	Map Erosion	Mar 100 Erosion	Map Erythema	Mar 100 Erythema	Map Foreign body	Mar 100 Foreign body	Map Lymphangiectasia	Mar 100 Lymphangiectasia	Map Normal clean mucosa	Mar 100 Normal clean mucosa	Map Polyp	Mar 100 Polyp	Map Ulcer	Mar 100 Ulcer
12.0043	1.0	1200	2.8149	0.0657	0.1006	0.0712	-1.0	0.0571	0.071	0.1401	0.1678	0.174	-1.0	0.0798	0.1863	0.0	0.0	0.0001	0.0095	0.3714	0.5984	0.0	0.0	0.0	0.0	0.0	0.0	0.1034	0.3956	0.1651	0.4861	0.0	0.0	0.0169	0.2509	-1.0	-1.0

Framework versions

• Transformers 4.53.0.dev0
• Pytorch 2.7.1+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1