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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-2ah-6l-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-2ah-6l-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: 1.8623
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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: 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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| 3.4312 | 1.0 | 4606 | 2.4426 |
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| 2.9035 | 2.0 | 9212 | 2.1671 |
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| 2.6788 | 3.0 | 13818 | 2.0925 |
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| 2.5847 | 4.0 | 18424 | 2.0215 |
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| 2.5075 | 5.0 | 23030 | 1.9689 |
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| 2.445 | 6.0 | 27636 | 1.9528 |
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| 2.4078 | 7.0 | 32242 | 1.9058 |
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| 2.3794 | 8.0 | 36848 | 1.8889 |
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| 2.3572 | 9.0 | 41454 | 1.8751 |
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| 2.3374 | 10.0 | 46060 | 1.8623 |
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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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