results – AI Model by Sabbasi-11 | AlphaNeural AI

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object-detection

generated_from_trainer

facebook/detr-resnet-50

endpoints_compatible

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results

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: 1.1423

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	2	5.4207
No log	2.0	4	3.5959
No log	3.0	6	2.6546
No log	4.0	8	2.5924
4.7135	5.0	10	2.4246
4.7135	6.0	12	2.3156
4.7135	7.0	14	2.0630
4.7135	8.0	16	1.8700
4.7135	9.0	18	1.9057
1.9751	10.0	20	1.8555
1.9751	11.0	22	1.7879
1.9751	12.0	24	1.6941
1.9751	13.0	26	1.6313
1.9751	14.0	28	1.5788
1.6067	15.0	30	1.5095
1.6067	16.0	32	1.4926
1.6067	17.0	34	1.3962
1.6067	18.0	36	1.3799
1.6067	19.0	38	1.4024
1.3628	20.0	40	1.3731
1.3628	21.0	42	1.3351
1.3628	22.0	44	1.2939
1.3628	23.0	46	1.3056
1.3628	24.0	48	1.2118
1.2051	25.0	50	1.1925
1.2051	26.0	52	1.1810
1.2051	27.0	54	1.1621
1.2051	28.0	56	1.1491
1.2051	29.0	58	1.1433
1.0991	30.0	60	1.1423

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1