| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: cdetr-cd45rb-s |
| | 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. --> |
| |
|
| | # cdetr-cd45rb-s |
| |
|
| | This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0136 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.6006 | 1.0 | 242 | 2.2146 | |
| | | 2.2409 | 2.0 | 484 | 2.1106 | |
| | | 2.2027 | 3.0 | 726 | 2.1456 | |
| | | 2.183 | 4.0 | 968 | 2.0863 | |
| | | 2.0628 | 5.0 | 1210 | 2.0294 | |
| | | 2.1588 | 6.0 | 1452 | 2.0859 | |
| | | 2.1731 | 7.0 | 1694 | 2.0731 | |
| | | 2.1041 | 8.0 | 1936 | 2.1052 | |
| | | 2.0383 | 9.0 | 2178 | 2.0378 | |
| | | 1.967 | 10.0 | 2420 | 2.0136 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.1 |
| | - Pytorch 2.0.0+cu118 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| |
|
