<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
detr-resnet-101-CD45RB-1000-att
This model is a fine-tuned version of facebook/detr-resnet-101 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8689
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: 0.0001
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.362 | 1.0 | 94 | 2.2997 |
| 3.0516 | 2.0 | 188 | 2.3167 |
| 2.8505 | 3.0 | 282 | 2.0241 |
| 2.5805 | 4.0 | 376 | 1.9036 |
| 2.5158 | 5.0 | 470 | 1.8689 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
