update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- cd45rb
+model-index:
+- name: cdetr-r50-cd45rb-all-4ah
+  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. -->
+
+# cdetr-r50-cd45rb-all-4ah
+
+This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the cd45rb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8344
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.165         | 1.0   | 2303  | 2.0257          |
+| 1.9843        | 2.0   | 4606  | 1.9742          |
+| 1.9296        | 3.0   | 6909  | 1.9123          |
+| 1.8949        | 4.0   | 9212  | 1.8928          |
+| 1.8751        | 5.0   | 11515 | 1.9116          |
+| 1.854         | 6.0   | 13818 | 1.8909          |
+| 1.8354        | 7.0   | 16121 | 1.8533          |
+| 1.8257        | 8.0   | 18424 | 1.8407          |
+| 1.8101        | 9.0   | 20727 | 1.8453          |
+| 1.8025        | 10.0  | 23030 | 1.8344          |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.13.3