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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-8ah-2l-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-2l-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: 2.2973
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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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| 3.7108 | 1.0 | 4606 | 2.7888 |
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| 3.3322 | 2.0 | 9212 | 2.5539 |
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| 3.2038 | 3.0 | 13818 | 2.4728 |
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| 3.1338 | 4.0 | 18424 | 2.4153 |
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| 3.0774 | 5.0 | 23030 | 2.4054 |
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| 3.0301 | 6.0 | 27636 | 2.3471 |
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| 2.9925 | 7.0 | 32242 | 2.3332 |
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| 2.9639 | 8.0 | 36848 | 2.3221 |
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| 2.944 | 9.0 | 41454 | 2.3080 |
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| 2.9248 | 10.0 | 46060 | 2.2973 |
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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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