detr_finetuned_roadsigns
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9152
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 35 | 2.4704 |
| No log | 2.0 | 70 | 1.6563 |
| No log | 3.0 | 105 | 1.5779 |
| No log | 4.0 | 140 | 1.5352 |
| No log | 5.0 | 175 | 1.4800 |
| No log | 6.0 | 210 | 1.2647 |
| No log | 7.0 | 245 | 1.3520 |
| No log | 8.0 | 280 | 1.2205 |
| No log | 9.0 | 315 | 1.2303 |
| No log | 10.0 | 350 | 1.1987 |
| No log | 11.0 | 385 | 1.0827 |
| No log | 12.0 | 420 | 1.0480 |
| No log | 13.0 | 455 | 1.0071 |
| No log | 14.0 | 490 | 1.0634 |
| 3.4885 | 15.0 | 525 | 0.9846 |
| 3.4885 | 16.0 | 560 | 0.9775 |
| 3.4885 | 17.0 | 595 | 0.9928 |
| 3.4885 | 18.0 | 630 | 0.9659 |
| 3.4885 | 19.0 | 665 | 0.9488 |
| 3.4885 | 20.0 | 700 | 0.9296 |
| 3.4885 | 21.0 | 735 | 0.9195 |
| 3.4885 | 22.0 | 770 | 0.9125 |
| 3.4885 | 23.0 | 805 | 0.9158 |
| 3.4885 | 24.0 | 840 | 0.9151 |
| 3.4885 | 25.0 | 875 | 0.9152 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0
- Datasets 4.1.1
- Tokenizers 0.22.1