metadata
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr
results: []
detr
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: 1.4507
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8557 | 0.48 | 300 | 1.8996 |
| 1.7822 | 0.96 | 600 | 1.7404 |
| 1.657 | 1.44 | 900 | 1.6266 |
| 1.5922 | 1.92 | 1200 | 1.5711 |
| 1.5762 | 2.4 | 1500 | 1.5155 |
| 1.5673 | 2.88 | 1800 | 1.4816 |
| 1.4927 | 3.36 | 2100 | 1.4529 |
| 1.5326 | 3.84 | 2400 | 1.4507 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2