metadata
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-finetuned-cppe-5-10k-steps
results: []
detr-finetuned-cppe-5-10k-steps
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: 2.0867
- Map: 0.0493
- Map 50: 0.1064
- Map 75: 0.0379
- Map Small: 0.0072
- Map Medium: 0.0304
- Map Large: 0.0574
- Mar 1: 0.0805
- Mar 10: 0.1667
- Mar 100: 0.2069
- Mar Small: 0.073
- Mar Medium: 0.1572
- Mar Large: 0.2325
- Map Coverall: 0.1978
- Mar 100 Coverall: 0.5874
- Map Face Shield: 0.0
- Mar 100 Face Shield: 0.0
- Map Gloves: 0.0253
- Mar 100 Gloves: 0.204
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.0236
- Mar 100 Mask: 0.2431
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: 4
- eval_batch_size: 8
- seed: 1337
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.5499 | 1.0 | 213 | 2.3248 | 0.0367 | 0.0798 | 0.0325 | 0.0018 | 0.0114 | 0.0417 | 0.0555 | 0.1278 | 0.1648 | 0.0416 | 0.1044 | 0.2026 | 0.1697 | 0.5104 | 0.0 | 0.0 | 0.0078 | 0.1813 | 0.0 | 0.0 | 0.0058 | 0.1324 |
| 2.1119 | 2.0 | 426 | 2.0867 | 0.0493 | 0.1064 | 0.0379 | 0.0072 | 0.0304 | 0.0574 | 0.0805 | 0.1667 | 0.2069 | 0.073 | 0.1572 | 0.2325 | 0.1978 | 0.5874 | 0.0 | 0.0 | 0.0253 | 0.204 | 0.0 | 0.0 | 0.0236 | 0.2431 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.7.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1