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--- |
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license: apache-2.0 |
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base_model: facebook/detr-resnet-50 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: detr |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# detr |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8164 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 0.05 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.2214 | 0.01 | 25 | 2.3644 | |
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| 2.21 | 0.01 | 50 | 2.1607 | |
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| 2.0636 | 0.01 | 75 | 2.1884 | |
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| 2.1722 | 0.02 | 100 | 2.3081 | |
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| 2.3687 | 0.03 | 125 | 1.9743 | |
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| 2.0154 | 0.03 | 150 | 1.9790 | |
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| 1.8828 | 0.04 | 175 | 1.9207 | |
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| 1.9719 | 0.04 | 200 | 1.8296 | |
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| 1.7973 | 0.04 | 225 | 1.8404 | |
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| 1.687 | 0.05 | 250 | 1.8164 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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