detr-r101-cd45rb-8ah-4l
This model is a fine-tuned version of facebook/detr-resnet-101 on the cd45rb_nan_xywh dataset. It achieves the following results on the evaluation set:
- Loss: 1.7442
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: 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: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1054 | 1.0 | 4606 | 2.2520 |
| 2.7633 | 2.0 | 9212 | 2.1251 |
| 2.6589 | 3.0 | 13818 | 2.0489 |
| 2.5832 | 4.0 | 18424 | 2.0000 |
| 2.5369 | 5.0 | 23030 | 1.9442 |
| 2.4955 | 6.0 | 27636 | 1.9363 |
| 2.4615 | 7.0 | 32242 | 1.8860 |
| 2.4326 | 8.0 | 36848 | 1.8732 |
| 2.404 | 9.0 | 41454 | 1.8580 |
| 2.3915 | 10.0 | 46060 | 1.8536 |
| 2.4311 | 11.0 | 50666 | 1.8881 |
| 2.4175 | 12.0 | 55272 | 1.8443 |
| 2.3763 | 13.0 | 59878 | 1.8380 |
| 2.371 | 14.0 | 64484 | 1.8314 |
| 2.3427 | 15.0 | 69090 | 1.8255 |
| 2.3415 | 16.0 | 73696 | 1.8258 |
| 2.3189 | 17.0 | 78302 | 1.7938 |
| 2.3049 | 18.0 | 82908 | 1.7959 |
| 2.2884 | 19.0 | 87514 | 1.7827 |
| 2.2769 | 20.0 | 92120 | 1.7849 |
| 2.2728 | 21.0 | 96726 | 1.7581 |
| 2.2547 | 22.0 | 101332 | 1.7553 |
| 2.249 | 23.0 | 105938 | 1.7521 |
| 2.2476 | 24.0 | 110544 | 1.7505 |
| 2.2371 | 25.0 | 115150 | 1.7442 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3