detr-r50-cd45rb-all-8ah
This model is a fine-tuned version of facebook/detr-resnet-50 on the cd45rb dataset. It achieves the following results on the evaluation set:
Loss: 1.6306
model.num_parameters()41509318
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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4211 | 1.0 | 2303 | 1.8771 |
| 2.2126 | 2.0 | 4606 | 1.8058 |
| 2.1291 | 3.0 | 6909 | 1.7395 |
| 2.1026 | 4.0 | 9212 | 1.7130 |
| 2.0756 | 5.0 | 11515 | 1.7131 |
| 2.0535 | 6.0 | 13818 | 1.6874 |
| 2.0333 | 7.0 | 16121 | 1.6741 |
| 2.022 | 8.0 | 18424 | 1.6632 |
| 2.007 | 9.0 | 20727 | 1.6500 |
| 1.9998 | 10.0 | 23030 | 1.6492 |
| 1.9945 | 11.0 | 25333 | 1.6559 |
| 1.9906 | 12.0 | 27636 | 1.6375 |
| 1.9831 | 13.0 | 29939 | 1.6384 |
| 1.9787 | 14.0 | 32242 | 1.6331 |
| 1.9686 | 15.0 | 34545 | 1.6298 |
| 2.0042 | 16.0 | 36848 | 1.6546 |
| 2.0043 | 17.0 | 39151 | 1.6496 |
| 1.9945 | 18.0 | 41454 | 1.6571 |
| 1.9663 | 19.0 | 43757 | 1.6379 |
| 1.9635 | 20.0 | 46060 | 1.6306 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3