rtdetr-v2-r18vd-finetuned-rebar

This model is a fine-tuned version of PekingU/rtdetr_v2_r18vd on the None dataset. It achieves the following results on the evaluation set:

• Loss: 80.7678

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
73.9582	1.0	10	84.4737
63.7863	2.0	20	80.7678

Framework versions

• Transformers 4.55.0
• Pytorch 2.8.0
• Datasets 4.0.0
• Tokenizers 0.21.1