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update model card 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-16ah
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+ results: []
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+ ---
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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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+
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+ # detr-r50-cd45rb-all-16ah
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+
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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: 1.6073
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 2.3982 | 1.0 | 2303 | 1.8529 |
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+ | 2.1913 | 2.0 | 4606 | 1.7870 |
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+ | 2.1311 | 3.0 | 6909 | 1.7361 |
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+ | 2.1099 | 4.0 | 9212 | 1.7355 |
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+ | 2.0772 | 5.0 | 11515 | 1.7197 |
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+ | 2.0559 | 6.0 | 13818 | 1.6910 |
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+ | 2.0406 | 7.0 | 16121 | 1.7068 |
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+ | 2.0332 | 8.0 | 18424 | 1.6706 |
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+ | 2.0238 | 9.0 | 20727 | 1.6655 |
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+ | 2.0049 | 10.0 | 23030 | 1.6604 |
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+ | 1.9879 | 11.0 | 25333 | 1.6595 |
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+ | 1.9898 | 12.0 | 27636 | 1.6804 |
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+ | 1.9818 | 13.0 | 29939 | 1.6361 |
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+ | 1.9731 | 14.0 | 32242 | 1.6457 |
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+ | 1.9584 | 15.0 | 34545 | 1.6221 |
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+ | 1.9536 | 16.0 | 36848 | 1.6137 |
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+ | 1.9396 | 17.0 | 39151 | 1.6114 |
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+ | 1.9332 | 18.0 | 41454 | 1.6085 |
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+ | 1.9205 | 19.0 | 43757 | 1.6076 |
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+ | 1.924 | 20.0 | 46060 | 1.6073 |
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+
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+
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+ ### Framework versions
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+
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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