detr-resnet-50-finetuned-10k-cppe5
This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9865
- Map: 0.3192
- Map 50: 0.6187
- Map 75: 0.3039
- Map small: 0.271
- Map medium: 0.2307
- Map large: 0.4635
- Mar 1: 0.2947
- Mar 10: 0.4873
- Mar 100: 0.5005
- Mar small: 0.3421
- Mar medium: 0.4012
- Mar large: 0.6176
- Map Coverall: 0.5908
- Mar 100 Coverall: 0.6978
- Map Face Shield: 0.3773
- Mar 100 Face Shield: 0.6353
- Map Gloves: 0.2142
- Mar 100 Gloves: 0.3902
- Map Goggles: 0.1483
- Mar 100 Goggles: 0.3906
- Map Mask: 0.2653
- Mar 100 Mask: 0.3880
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: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.18.0
- Tokenizers 0.19.0
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