End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/detr-resnet-50
+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: 1.4507
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.8557        | 0.48  | 300  | 1.8996          |
+| 1.7822        | 0.96  | 600  | 1.7404          |
+| 1.657         | 1.44  | 900  | 1.6266          |
+| 1.5922        | 1.92  | 1200 | 1.5711          |
+| 1.5762        | 2.4   | 1500 | 1.5155          |
+| 1.5673        | 2.88  | 1800 | 1.4816          |
+| 1.4927        | 3.36  | 2100 | 1.4529          |
+| 1.5326        | 3.84  | 2400 | 1.4507          |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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