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detr-r50-cd45rb-all-4ah
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: 1.5882
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 |
|---|---|---|---|
| 2.4171 | 1.0 | 2303 | 1.8410 |
| 2.1862 | 2.0 | 4606 | 1.7627 |
| 2.1252 | 3.0 | 6909 | 1.7529 |
| 2.1065 | 4.0 | 9212 | 1.7416 |
| 2.0764 | 5.0 | 11515 | 1.6991 |
| 2.051 | 6.0 | 13818 | 1.6863 |
| 2.039 | 7.0 | 16121 | 1.6824 |
| 2.0266 | 8.0 | 18424 | 1.6706 |
| 2.0177 | 9.0 | 20727 | 1.6724 |
| 2.006 | 10.0 | 23030 | 1.6439 |
| 1.9853 | 11.0 | 25333 | 1.6503 |
| 1.9794 | 12.0 | 27636 | 1.6337 |
| 1.9676 | 13.0 | 29939 | 1.6213 |
| 1.9646 | 14.0 | 32242 | 1.6213 |
| 1.9551 | 15.0 | 34545 | 1.6144 |
| 1.9448 | 16.0 | 36848 | 1.6081 |
| 1.9347 | 17.0 | 39151 | 1.5986 |
| 1.9287 | 18.0 | 41454 | 1.5924 |
| 1.9177 | 19.0 | 43757 | 1.5907 |
| 1.9216 | 20.0 | 46060 | 1.5882 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
