detr_finetuned_cppe5

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

• Loss: 2.1426
• Map: 0.0
• Map 50: 0.0
• Map 75: 0.0
• Map Small: -1.0
• Map Medium: 0.0
• Map Large: -1.0
• Mar 1: 0.0
• Mar 10: 0.0
• Mar 100: 0.0
• Mar Small: -1.0
• Mar Medium: 0.0
• Mar Large: -1.0
• Map Grey Star: -1.0
• Mar 100 Grey Star: -1.0
• Map Insect: 0.0
• Mar 100 Insect: 0.0
• Map Moon: 0.0
• Mar 100 Moon: 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: 5e-05
• train_batch_size: 1
• eval_batch_size: 8
• 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: cosine
• num_epochs: 30

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 Black Star	Mar 100 Black Star	Map Cat	Mar 100 Cat	Map Grey Star	Mar 100 Grey Star	Map Insect	Mar 100 Insect	Map Moon	Mar 100 Moon	Map Unicorn Head	Mar 100 Unicorn Head	Map Unicorn Whole	Mar 100 Unicorn Whole
No log	1.0	9	3.0843	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0	-1.0	-1.0
No log	2.0	18	2.8919	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0	-1.0	-1.0
No log	3.0	27	2.7564	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0	-1.0	-1.0
No log	4.0	36	2.7363	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0	-1.0	-1.0
No log	5.0	45	2.6145	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0	-1.0	-1.0
No log	6.0	54	2.5328	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	7.0	63	2.5044	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0
No log	8.0	72	2.4637	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	9.0	81	2.5407	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	10.0	90	2.4309	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	11.0	99	2.4180	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	12.0	108	2.5998	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	13.0	117	2.4657	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0	-1.0	-1.0	-1.0	-1.0
No log	14.0	126	2.3398	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	15.0	135	2.3136	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	16.0	144	2.2952	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	17.0	153	2.3616	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	18.0	162	2.4010	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	19.0	171	2.3679	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	20.0	180	2.3450	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	21.0	189	2.3824	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	22.0	198	2.2668	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	23.0	207	2.1832	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	24.0	216	2.1715	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	25.0	225	2.1695	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	26.0	234	2.1456	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	27.0	243	2.1490	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	28.0	252	2.1432	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	29.0	261	2.1424	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0
No log	30.0	270	2.1426	0.0	0.0	0.0	-1.0	0.0	-1.0	0.0	0.0	0.0	-1.0	0.0	-1.0	-1.0	-1.0	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.1
• Datasets 3.1.0
• Tokenizers 0.20.2