detr_cppe5_object_detection

This model is a fine-tuned version of qgyd2021/detr_cppe5_object_detection on the cppe5 dataset. It achieves the following results on the evaluation set:

• Loss: 1.0644

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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 16
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.8107	3.17	200	1.0516
0.8031	6.35	400	1.1292
0.7474	9.52	600	1.1179
0.7315	12.7	800	1.0198
0.7605	15.87	1000	1.0427
0.7611	19.05	1200	1.0867
0.7377	22.22	1400	1.1264
0.7303	25.4	1600	1.1137
0.6692	28.57	1800	1.0644

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3