update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- cd45rb
+model-index:
+- name: detr-r50-cd45rb-2ah-6l
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# detr-r50-cd45rb-2ah-6l
+
+This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0706
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.4851        | 1.0   | 4606  | 2.4806          |
+| 2.995         | 2.0   | 9212  | 2.2761          |
+| 2.7717        | 3.0   | 13818 | 2.1601          |
+| 2.674         | 4.0   | 18424 | 2.0849          |
+| 2.6185        | 5.0   | 23030 | 2.0706          |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.13.3