detr-r101-cd45rb-4ah-4l-256d-learned
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: 2.0099
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7324 | 1.0 | 4606 | 2.9621 |
| 3.3139 | 2.0 | 9212 | 2.5054 |
| 3.0575 | 3.0 | 13818 | 2.3285 |
| 2.8953 | 4.0 | 18424 | 2.2155 |
| 2.7853 | 5.0 | 23030 | 2.1671 |
| 2.709 | 6.0 | 27636 | 2.1339 |
| 2.6559 | 7.0 | 32242 | 2.0548 |
| 2.6096 | 8.0 | 36848 | 2.0364 |
| 2.5891 | 9.0 | 41454 | 2.0153 |
| 2.5697 | 10.0 | 46060 | 2.0099 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3