| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: detr |
| 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. --> |
|
|
| # detr |
|
|
| This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1718 |
|
|
| ## Model description |
|
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| More information needed |
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|
| ## 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: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.5147 | 0.1 | 32 | 2.4506 | |
| | 2.1248 | 0.2 | 64 | 1.9658 | |
| | 1.8119 | 0.31 | 96 | 1.6541 | |
| | 1.5421 | 0.41 | 128 | 1.4391 | |
| | 1.4124 | 0.51 | 160 | 1.3225 | |
| | 1.3227 | 0.61 | 192 | 1.2518 | |
| | 1.2811 | 0.72 | 224 | 1.2108 | |
| | 1.2499 | 0.82 | 256 | 1.1863 | |
| | 1.2102 | 0.92 | 288 | 1.1718 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.13.3 |
|
|
