| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: microsoft/conditional-detr-resnet-50 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: trainer_output |
| 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. --> |
|
|
| # trainer_output |
| |
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8925 |
| |
| ## 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: 4 |
| - 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 |
| - lr_scheduler_warmup_steps: 0.1 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 375 | 1.5167 | |
| | 5.4733 | 2.0 | 750 | 1.3999 | |
| | 1.3923 | 3.0 | 1125 | 1.2187 | |
| | 1.2545 | 4.0 | 1500 | 1.1286 | |
| | 1.2545 | 5.0 | 1875 | 1.0867 | |
| | 1.1242 | 6.0 | 2250 | 1.0562 | |
| | 1.0583 | 7.0 | 2625 | 0.9958 | |
| | 0.9523 | 8.0 | 3000 | 0.9276 | |
| | 0.9523 | 9.0 | 3375 | 0.9194 | |
| | 0.9123 | 10.0 | 3750 | 0.9194 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.5.4 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.8.4 |
| - Tokenizers 0.22.2 |
| |
