cppe5_setup_on_roadsign_test
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: 1.4669
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 107 | 2.1197 |
| No log | 2.0 | 214 | 2.1379 |
| No log | 3.0 | 321 | 1.9321 |
| No log | 4.0 | 428 | 1.8901 |
| 2.718 | 5.0 | 535 | 1.8736 |
| 2.718 | 6.0 | 642 | 1.8040 |
| 2.718 | 7.0 | 749 | 1.7457 |
| 2.718 | 8.0 | 856 | 1.7353 |
| 2.718 | 9.0 | 963 | 1.7223 |
| 1.6615 | 10.0 | 1070 | 1.6739 |
| 1.6615 | 11.0 | 1177 | 1.7112 |
| 1.6615 | 12.0 | 1284 | 1.6121 |
| 1.6615 | 13.0 | 1391 | 1.6118 |
| 1.6615 | 14.0 | 1498 | 1.5623 |
| 1.5122 | 15.0 | 1605 | 1.5774 |
| 1.5122 | 16.0 | 1712 | 1.5583 |
| 1.5122 | 17.0 | 1819 | 1.5591 |
| 1.5122 | 18.0 | 1926 | 1.5253 |
| 1.4095 | 19.0 | 2033 | 1.5523 |
| 1.4095 | 20.0 | 2140 | 1.5213 |
| 1.4095 | 21.0 | 2247 | 1.5017 |
| 1.4095 | 22.0 | 2354 | 1.5023 |
| 1.4095 | 23.0 | 2461 | 1.4772 |
| 1.3312 | 24.0 | 2568 | 1.4792 |
| 1.3312 | 25.0 | 2675 | 1.4729 |
| 1.3312 | 26.0 | 2782 | 1.4712 |
| 1.3312 | 27.0 | 2889 | 1.4693 |
| 1.3312 | 28.0 | 2996 | 1.4683 |
| 1.2782 | 29.0 | 3103 | 1.4671 |
| 1.2782 | 30.0 | 3210 | 1.4669 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0
- Datasets 4.1.1
- Tokenizers 0.22.1