detr-resnet-50_finetuned_cppe5 – AI Model by dltpdn | AlphaNeural AI

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dltpdn/
detr-resnet-50_finetuned_cppe5

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object-detection

generated_from_trainer

facebook/detr-resnet-50

endpoints_compatible

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detr-resnet-50_finetuned_cppe5

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

Loss: 1.6160

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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	125	2.4469
No log	2.0	250	2.2873
No log	3.0	375	2.0042
2.1807	4.0	500	1.9969
2.1807	5.0	625	1.8574
2.1807	6.0	750	1.7319
2.1807	7.0	875	1.6405
1.6286	8.0	1000	1.6475
1.6286	9.0	1125	1.6020
1.6286	10.0	1250	1.6160

Framework versions

Transformers 5.8.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2