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detr-r50-cd45rb-8ah-4l-1cost
This model is a fine-tuned version of facebook/detr-resnet-50 on the cd45rb_nan_xywh dataset. It achieves the following results on the evaluation set:
- Loss: 1.0859
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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7758 | 1.0 | 4606 | 1.3048 |
| 1.6314 | 2.0 | 9212 | 1.2281 |
| 1.5709 | 3.0 | 13818 | 1.1944 |
| 1.5368 | 4.0 | 18424 | 1.1702 |
| 1.5132 | 5.0 | 23030 | 1.1497 |
| 1.4929 | 6.0 | 27636 | 1.1419 |
| 1.4803 | 7.0 | 32242 | 1.1298 |
| 1.4703 | 8.0 | 36848 | 1.1246 |
| 1.4655 | 9.0 | 41454 | 1.1222 |
| 1.4625 | 10.0 | 46060 | 1.1222 |
| 1.4579 | 11.0 | 50666 | 1.1178 |
| 1.4529 | 12.0 | 55272 | 1.1086 |
| 1.4397 | 13.0 | 59878 | 1.1034 |
| 1.4366 | 14.0 | 64484 | 1.0990 |
| 1.425 | 15.0 | 69090 | 1.0943 |
| 1.4252 | 16.0 | 73696 | 1.0912 |
| 1.4215 | 17.0 | 78302 | 1.0881 |
| 1.4188 | 18.0 | 82908 | 1.0875 |
| 1.4133 | 19.0 | 87514 | 1.0870 |
| 1.4152 | 20.0 | 92120 | 1.0859 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
