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: 0.9448
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6853 | 0.32 | 50 | 1.8717 |
| 1.6419 | 0.64 | 100 | 1.4752 |
| 1.4029 | 0.96 | 150 | 1.2728 |
| 1.2596 | 1.27 | 200 | 1.1683 |
| 1.1761 | 1.59 | 250 | 1.0847 |
| 1.106 | 1.91 | 300 | 1.0396 |
| 1.0586 | 2.23 | 350 | 0.9886 |
| 1.0258 | 2.55 | 400 | 0.9653 |
| 1.0151 | 2.87 | 450 | 0.9448 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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Base model
facebook/detr-resnet-50