detr-resnet-50_adamw_torch_fused_adam_beta1-0_8_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: 2.8078
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=(0.8,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.6897 | 1.52 | 50 | 6.2985 |
| 5.5704 | 3.03 | 100 | 5.1916 |
| 4.3645 | 4.55 | 150 | 4.0882 |
| 3.4115 | 6.06 | 200 | 3.3534 |
| 3.0109 | 7.58 | 250 | 3.0666 |
| 2.8836 | 9.09 | 300 | 3.0176 |
| 2.7564 | 10.61 | 350 | 2.9294 |
| 2.7007 | 12.12 | 400 | 2.9228 |
| 2.7032 | 13.64 | 450 | 2.8650 |
| 2.6248 | 15.15 | 500 | 2.8833 |
| 2.5995 | 16.67 | 550 | 2.8085 |
| 2.5616 | 18.18 | 600 | 2.7843 |
| 2.5582 | 19.7 | 650 | 2.8078 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1