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update model card README.md
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README.md
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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-all-4ah
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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-all-4ah
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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: 1.5882
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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: 20
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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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| 2.4171 | 1.0 | 2303 | 1.8410 |
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| 2.1862 | 2.0 | 4606 | 1.7627 |
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| 2.1252 | 3.0 | 6909 | 1.7529 |
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| 2.1065 | 4.0 | 9212 | 1.7416 |
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| 2.0764 | 5.0 | 11515 | 1.6991 |
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| 2.051 | 6.0 | 13818 | 1.6863 |
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| 2.039 | 7.0 | 16121 | 1.6824 |
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| 2.0266 | 8.0 | 18424 | 1.6706 |
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| 2.0177 | 9.0 | 20727 | 1.6724 |
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| 2.006 | 10.0 | 23030 | 1.6439 |
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| 1.9853 | 11.0 | 25333 | 1.6503 |
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| 1.9794 | 12.0 | 27636 | 1.6337 |
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| 1.9676 | 13.0 | 29939 | 1.6213 |
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| 1.9646 | 14.0 | 32242 | 1.6213 |
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| 1.9551 | 15.0 | 34545 | 1.6144 |
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| 1.9448 | 16.0 | 36848 | 1.6081 |
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| 1.9347 | 17.0 | 39151 | 1.5986 |
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| 1.9287 | 18.0 | 41454 | 1.5924 |
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| 1.9177 | 19.0 | 43757 | 1.5907 |
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| 1.9216 | 20.0 | 46060 | 1.5882 |
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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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