detr-resnet-101_adafactor_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: 3.1003
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 |
|---|---|---|---|
| 6.5311 | 0.77 | 50 | 6.4188 |
| 5.6597 | 1.54 | 100 | 5.8132 |
| 5.1568 | 2.31 | 150 | 5.1265 |
| 4.4672 | 3.08 | 200 | 4.3264 |
| 3.8033 | 3.85 | 250 | 3.9444 |
| 3.2053 | 4.62 | 300 | 3.6319 |
| 3.127 | 5.38 | 350 | 3.3079 |
| 2.9082 | 6.15 | 400 | 3.1760 |
| 2.8546 | 6.92 | 450 | 3.1659 |
| 2.8393 | 7.69 | 500 | 3.0233 |
| 2.6973 | 8.46 | 550 | 3.0817 |
| 2.7047 | 9.23 | 600 | 3.0849 |
| 2.673 | 10.0 | 650 | 3.1122 |
| 2.6781 | 10.77 | 700 | 3.0709 |
| 2.5901 | 11.54 | 750 | 3.0382 |
| 2.6568 | 12.31 | 800 | 3.0246 |
| 2.5929 | 13.08 | 850 | 3.0384 |
| 2.5709 | 13.85 | 900 | 2.9862 |
| 2.5784 | 14.62 | 950 | 3.1003 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1