update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: detr
+  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
+
+This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1718
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.5147        | 0.1   | 32   | 2.4506          |
+| 2.1248        | 0.2   | 64   | 1.9658          |
+| 1.8119        | 0.31  | 96   | 1.6541          |
+| 1.5421        | 0.41  | 128  | 1.4391          |
+| 1.4124        | 0.51  | 160  | 1.3225          |
+| 1.3227        | 0.61  | 192  | 1.2518          |
+| 1.2811        | 0.72  | 224  | 1.2108          |
+| 1.2499        | 0.82  | 256  | 1.1863          |
+| 1.2102        | 0.92  | 288  | 1.1718          |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.13.3