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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Jesse020202/cppe5_setup_on_roadsign_test
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tags:
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- generated_from_trainer
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model-index:
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- name: detr_finetuned_cppe5_comparison
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# detr_finetuned_cppe5_comparison
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.3939
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 107 | 1.6000 |
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| No log | 2.0 | 214 | 1.5764 |
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| No log | 3.0 | 321 | 1.5325 |
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| No log | 4.0 | 428 | 1.5211 |
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| 1.3796 | 5.0 | 535 | 1.5157 |
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| 1.3796 | 6.0 | 642 | 1.5043 |
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| 1.3796 | 7.0 | 749 | 1.4820 |
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| 1.3796 | 8.0 | 856 | 1.4862 |
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| 1.3796 | 9.0 | 963 | 1.4591 |
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| 1.2857 | 10.0 | 1070 | 1.4494 |
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| 1.2857 | 11.0 | 1177 | 1.4363 |
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| 1.2857 | 12.0 | 1284 | 1.4385 |
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| 1.2857 | 13.0 | 1391 | 1.4152 |
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| 1.2857 | 14.0 | 1498 | 1.4067 |
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| 1.1868 | 15.0 | 1605 | 1.4171 |
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| 1.1868 | 16.0 | 1712 | 1.3954 |
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| 1.1868 | 17.0 | 1819 | 1.3961 |
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| 1.1868 | 18.0 | 1926 | 1.3974 |
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| 1.1187 | 19.0 | 2033 | 1.3943 |
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| 1.1187 | 20.0 | 2140 | 1.3939 |
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### Framework versions
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- Transformers 4.56.2
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- Pytorch 2.8.0
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- Datasets 4.1.1
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- Tokenizers 0.22.1
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