detr_finetuned_cppe5_poisoned
This model is a fine-tuned version of Jesse020202/cppe5_setup_on_roadsign_test on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4114
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 107 | 1.6085 |
| No log | 2.0 | 214 | 1.5592 |
| No log | 3.0 | 321 | 1.5740 |
| No log | 4.0 | 428 | 1.5883 |
| 1.3843 | 5.0 | 535 | 1.5184 |
| 1.3843 | 6.0 | 642 | 1.5885 |
| 1.3843 | 7.0 | 749 | 1.5189 |
| 1.3843 | 8.0 | 856 | 1.5144 |
| 1.3843 | 9.0 | 963 | 1.4986 |
| 1.3063 | 10.0 | 1070 | 1.4738 |
| 1.3063 | 11.0 | 1177 | 1.4630 |
| 1.3063 | 12.0 | 1284 | 1.4525 |
| 1.3063 | 13.0 | 1391 | 1.4257 |
| 1.3063 | 14.0 | 1498 | 1.4206 |
| 1.2038 | 15.0 | 1605 | 1.4078 |
| 1.2038 | 16.0 | 1712 | 1.4127 |
| 1.2038 | 17.0 | 1819 | 1.4153 |
| 1.2038 | 18.0 | 1926 | 1.4113 |
| 1.1309 | 19.0 | 2033 | 1.4116 |
| 1.1309 | 20.0 | 2140 | 1.4114 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0
- Datasets 4.1.1
- Tokenizers 0.22.1