| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Jesse020202/cppe5_setup_on_roadsign_test |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: detr_finetuned_cppe5_comparison |
| results: [] |
| --- |
| |
| <!-- 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_finetuned_cppe5_comparison |
| |
| This model is a fine-tuned version of [Jesse020202/cppe5_setup_on_roadsign_test](https://huggingface.co/Jesse020202/cppe5_setup_on_roadsign_test) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3939 |
| |
| ## 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 | 1.6000 | |
| | No log | 2.0 | 214 | 1.5764 | |
| | No log | 3.0 | 321 | 1.5325 | |
| | No log | 4.0 | 428 | 1.5211 | |
| | 1.3796 | 5.0 | 535 | 1.5157 | |
| | 1.3796 | 6.0 | 642 | 1.5043 | |
| | 1.3796 | 7.0 | 749 | 1.4820 | |
| | 1.3796 | 8.0 | 856 | 1.4862 | |
| | 1.3796 | 9.0 | 963 | 1.4591 | |
| | 1.2857 | 10.0 | 1070 | 1.4494 | |
| | 1.2857 | 11.0 | 1177 | 1.4363 | |
| | 1.2857 | 12.0 | 1284 | 1.4385 | |
| | 1.2857 | 13.0 | 1391 | 1.4152 | |
| | 1.2857 | 14.0 | 1498 | 1.4067 | |
| | 1.1868 | 15.0 | 1605 | 1.4171 | |
| | 1.1868 | 16.0 | 1712 | 1.3954 | |
| | 1.1868 | 17.0 | 1819 | 1.3961 | |
| | 1.1868 | 18.0 | 1926 | 1.3974 | |
| | 1.1187 | 19.0 | 2033 | 1.3943 | |
| | 1.1187 | 20.0 | 2140 | 1.3939 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.56.2 |
| - Pytorch 2.8.0 |
| - Datasets 4.1.1 |
| - Tokenizers 0.22.1 |
|
|
