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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-8ah-6l-dilation-corrected |
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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-8ah-6l-dilation-corrected |
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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: 1.5202 |
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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: 4 |
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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: 25 |
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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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| 2.4024 | 1.0 | 4606 | 1.7613 | |
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| 2.1798 | 2.0 | 9212 | 1.7139 | |
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| 2.1158 | 3.0 | 13818 | 1.6784 | |
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| 2.0907 | 4.0 | 18424 | 1.6514 | |
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| 2.0665 | 5.0 | 23030 | 1.6573 | |
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| 2.0511 | 6.0 | 27636 | 1.6508 | |
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| 2.0401 | 7.0 | 32242 | 1.6145 | |
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| 2.0217 | 8.0 | 36848 | 1.6353 | |
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| 2.0119 | 9.0 | 41454 | 1.6176 | |
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| 1.9921 | 10.0 | 46060 | 1.6012 | |
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| 1.9841 | 11.0 | 50666 | 1.5832 | |
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| 1.9774 | 12.0 | 55272 | 1.6204 | |
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| 1.9567 | 13.0 | 59878 | 1.5836 | |
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| 1.9542 | 14.0 | 64484 | 1.5789 | |
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| 1.9347 | 15.0 | 69090 | 1.5565 | |
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| 1.9348 | 16.0 | 73696 | 1.5833 | |
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| 1.9188 | 17.0 | 78302 | 1.5547 | |
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| 1.9085 | 18.0 | 82908 | 1.5456 | |
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| 1.8956 | 19.0 | 87514 | 1.5433 | |
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| 1.8891 | 20.0 | 92120 | 1.5555 | |
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| 1.8899 | 21.0 | 96726 | 1.5278 | |
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| 1.8782 | 22.0 | 101332 | 1.5235 | |
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| 1.8676 | 23.0 | 105938 | 1.5314 | |
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| 1.8699 | 24.0 | 110544 | 1.5172 | |
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| 1.8627 | 25.0 | 115150 | 1.5202 | |
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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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