| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: microsoft/conditional-detr-resnet-50 |
| | tags: |
| | - trackio |
| | - trackio:https://huggingface.co/spaces/AkremGomri/trackio |
| | - generated_from_trainer |
| | model-index: |
| | - name: detr_finetuned_cppe5 |
| | 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. --> |
| |
|
| | <a href="https://huggingface.co/spaces/AkremGomri/trackio" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a> |
| | # detr_finetuned_cppe5 |
| |
|
| | This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset. |
| |
|
| | ## 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 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 5.1.0 |
| | - Pytorch 2.10.0+cu128 |
| | - Datasets 4.5.0 |
| | - Tokenizers 0.22.2 |
| | |
