detr-resnet-50_adamw_torch_fused_finetuned_food-roboflow
This model is a fine-tuned version of facebook/detr-resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.4652
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: 16
- 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 |
|---|---|---|---|
| 6.3234 | 1.52 | 50 | 5.6491 |
| 5.275 | 3.03 | 100 | 4.4271 |
| 4.192 | 4.55 | 150 | 3.2741 |
| 3.2675 | 6.06 | 200 | 2.7332 |
| 3.0463 | 7.58 | 250 | 2.6176 |
| 2.8906 | 9.09 | 300 | 2.5238 |
| 2.8289 | 10.61 | 350 | 2.5048 |
| 2.782 | 12.12 | 400 | 2.5033 |
| 2.7336 | 13.64 | 450 | 2.4652 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1