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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- cd45rb |
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model-index: |
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- name: detr-r50-cd45rb-7k-8ah |
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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-r50-cd45rb-7k-8ah |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7164 |
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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: 1e-05 |
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- train_batch_size: 8 |
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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: 10 |
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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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| 2.5817 | 1.0 | 896 | 1.9431 | |
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| 2.2882 | 2.0 | 1792 | 1.8638 | |
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| 2.2236 | 3.0 | 2688 | 1.8089 | |
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| 2.1649 | 4.0 | 3584 | 1.7843 | |
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| 2.1275 | 5.0 | 4480 | 1.7593 | |
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| 2.1176 | 6.0 | 5376 | 1.7542 | |
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| 2.1037 | 7.0 | 6272 | 1.7386 | |
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| 2.0969 | 8.0 | 7168 | 1.7242 | |
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| 2.0794 | 9.0 | 8064 | 1.7200 | |
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| 2.0792 | 10.0 | 8960 | 1.7164 | |
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The training took 3 hours 15 minutes on NVIDIA GPU. |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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