detr-resnet-101_adamw_torch_finetuned_food-roboflow
This model is a fine-tuned version of facebook/detr-resnet-101 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 3.0549
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.854 | 0.77 | 50 | 6.6564 |
| 5.8031 | 1.54 | 100 | 5.7440 |
| 5.0476 | 2.31 | 150 | 4.8884 |
| 4.1629 | 3.08 | 200 | 3.9522 |
| 3.4843 | 3.85 | 250 | 3.5612 |
| 3.0905 | 4.62 | 300 | 3.7328 |
| 3.0965 | 5.38 | 350 | 3.3028 |
| 2.8764 | 6.15 | 400 | 3.1671 |
| 2.8236 | 6.92 | 450 | 3.2082 |
| 2.8467 | 7.69 | 500 | 3.0500 |
| 2.6769 | 8.46 | 550 | 3.0538 |
| 2.7194 | 9.23 | 600 | 3.0982 |
| 2.6311 | 10.0 | 650 | 3.0520 |
| 2.6772 | 10.77 | 700 | 2.9950 |
| 2.577 | 11.54 | 750 | 3.0134 |
| 2.6274 | 12.31 | 800 | 3.0523 |
| 2.597 | 13.08 | 850 | 3.0120 |
| 2.56 | 13.85 | 900 | 2.9795 |
| 2.5803 | 14.62 | 950 | 3.0549 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1