| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: microsoft/conditional-detr-resnet-50 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - generator |
| model-index: |
| - name: fisheye8k_microsoft_conditional-detr-resnet-50 |
| 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. --> |
|
|
| # fisheye8k_microsoft_conditional-detr-resnet-50 |
|
|
| This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4379 |
|
|
| ## 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: 1 |
| - eval_batch_size: 8 |
| - seed: 0 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - num_epochs: 36 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 1.0059 | 1.0 | 5288 | 1.4506 | |
| | 0.9022 | 2.0 | 10576 | 1.3697 | |
| | 0.8475 | 3.0 | 15864 | 1.4314 | |
| | 0.8099 | 4.0 | 21152 | 1.4027 | |
| | 0.7604 | 5.0 | 26440 | 1.3805 | |
| | 0.7556 | 6.0 | 31728 | 1.4091 | |
| | 0.709 | 7.0 | 37016 | 1.4379 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.48.3 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
