inspection_finetuned – AI Model by Bakugo123 | AlphaNeural AI

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Bakugo123/
inspection_finetuned

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object-detection

generated_from_trainer

facebook/detr-resnet-50

endpoints_compatible

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inspection_finetuned

This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4719
Map: 0.0122
Map 50: 0.0264
Map 75: 0.011
Map Small: 0.0024
Map Medium: 0.0143
Map Large: 0.0207
Mar 1: 0.1017
Mar 10: 0.1856
Mar 100: 0.2427
Mar Small: 0.0494
Mar Medium: 0.2108
Mar Large: 0.3076
Map Cut: 0.0186
Mar 100 Cut: 0.5419
Map Hole: 0.0
Mar 100 Hole: 0.0
Map Stain: 0.0303
Mar 100 Stain: 0.4289
Map Threaderror: 0.0
Mar 100 Threaderror: 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: 8
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: 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 Cut	Mar 100 Cut	Map Hole	Mar 100 Hole	Map Stain	Mar 100 Stain	Map Threaderror	Mar 100 Threaderror
No log	1.0	167	1.5593	0.0093	0.0179	0.0094	0.0018	0.0125	0.0194	0.09	0.1791	0.2239	0.0411	0.1774	0.2914	0.0198	0.5158	0.0	0.0	0.0174	0.3797	0.0	0.0
No log	2.0	334	1.4719	0.0122	0.0264	0.011	0.0024	0.0143	0.0207	0.1017	0.1856	0.2427	0.0494	0.2108	0.3076	0.0186	0.5419	0.0	0.0	0.0303	0.4289	0.0	0.0

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1