detr-resnet-101_sgd_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: 2.9270
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 |
|---|---|---|---|
| 6.7367 | 0.77 | 50 | 6.2388 |
| 5.9103 | 1.54 | 100 | 5.4768 |
| 4.8918 | 2.31 | 150 | 4.3742 |
| 3.827 | 3.08 | 200 | 3.8198 |
| 3.4129 | 3.85 | 250 | 3.3190 |
| 3.0329 | 4.62 | 300 | 3.1967 |
| 2.8295 | 5.38 | 350 | 3.1841 |
| 2.8599 | 6.15 | 400 | 3.1155 |
| 2.7862 | 6.92 | 450 | 3.1008 |
| 2.7885 | 7.69 | 500 | 3.0490 |
| 2.6737 | 8.46 | 550 | 3.0872 |
| 2.7679 | 9.23 | 600 | 3.0429 |
| 2.6093 | 10.0 | 650 | 2.9775 |
| 2.6316 | 10.77 | 700 | 3.0016 |
| 2.5801 | 11.54 | 750 | 2.9701 |
| 2.6009 | 12.31 | 800 | 2.8919 |
| 2.5841 | 13.08 | 850 | 2.9398 |
| 2.5394 | 13.85 | 900 | 2.9266 |
| 2.5189 | 14.62 | 950 | 2.9270 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
facebook/detr-resnet-101