End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/conditional-detr-resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow
+  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. -->
+
+# conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow
+
+This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 129.1634
+
+## 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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4812.2437     | 0.77  | 50   | 3257.7490       |
+| 2205.0228     | 1.54  | 100  | 1453.2478       |
+| 1222.5505     | 2.31  | 150  | 949.4603        |
+| 888.8566      | 3.08  | 200  | 721.9152        |
+| 673.4776      | 3.85  | 250  | 580.5336        |
+| 554.9669      | 4.62  | 300  | 477.4659        |
+| 443.6898      | 5.38  | 350  | 398.8947        |
+| 392.5455      | 6.15  | 400  | 337.2477        |
+| 321.1821      | 6.92  | 450  | 288.8497        |
+| 289.3218      | 7.69  | 500  | 250.5900        |
+| 244.5445      | 8.46  | 550  | 220.2824        |
+| 228.1762      | 9.23  | 600  | 196.4913        |
+| 181.0313      | 10.0  | 650  | 177.2145        |
+| 175.8284      | 10.77 | 700  | 162.3775        |
+| 149.3609      | 11.54 | 750  | 150.6808        |
+| 155.7112      | 12.31 | 800  | 141.9936        |
+| 141.18        | 13.08 | 850  | 135.6279        |
+| 139.506       | 13.85 | 900  | 131.5291        |
+| 132.3059      | 14.62 | 950  | 129.1634        |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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