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