detr-r101-cd45rb-8ah-6l-256d
This model is a fine-tuned version of facebook/detr-resnet-101 on the cd45rb dataset. It achieves the following results on the evaluation set:
- Loss: 1.5675
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 |
|---|---|---|---|
| 2.4837 | 1.0 | 4606 | 1.7975 |
| 2.2753 | 2.0 | 9212 | 1.7412 |
| 2.2035 | 3.0 | 13818 | 1.7140 |
| 2.185 | 4.0 | 18424 | 1.7262 |
| 2.15 | 5.0 | 23030 | 1.6788 |
| 2.1109 | 6.0 | 27636 | 1.6751 |
| 2.0949 | 7.0 | 32242 | 1.6688 |
| 2.071 | 8.0 | 36848 | 1.6277 |
| 2.046 | 9.0 | 41454 | 1.6120 |
| 2.0338 | 10.0 | 46060 | 1.6056 |
| 2.0472 | 11.0 | 50666 | 1.6164 |
| 2.0389 | 12.0 | 55272 | 1.6055 |
| 2.0215 | 13.0 | 59878 | 1.5925 |
| 2.0123 | 14.0 | 64484 | 1.5913 |
| 1.9957 | 15.0 | 69090 | 1.5839 |
| 2.0014 | 16.0 | 73696 | 1.5774 |
| 2.0155 | 17.0 | 78302 | 1.5963 |
| 2.0142 | 18.0 | 82908 | 1.6062 |
| 2.0083 | 19.0 | 87514 | 1.5912 |
| 1.9949 | 20.0 | 92120 | 1.5875 |
| 1.9976 | 21.0 | 96726 | 1.5909 |
| 1.9816 | 22.0 | 101332 | 1.5811 |
| 1.9779 | 23.0 | 105938 | 1.5700 |
| 1.9706 | 24.0 | 110544 | 1.5680 |
| 1.96 | 25.0 | 115150 | 1.5675 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3