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--- |
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license: apache-2.0 |
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base_model: facebook/detr-resnet-50 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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model-index: |
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- name: detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9613 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 33 | 3.4739 | |
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| 4.5266 | 2.0 | 66 | 3.4064 | |
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| 4.5266 | 3.0 | 99 | 3.2739 | |
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| 3.2133 | 4.0 | 132 | 3.3611 | |
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| 3.3196 | 5.0 | 165 | 3.1082 | |
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| 3.3196 | 6.0 | 198 | 3.2548 | |
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| 2.9882 | 7.0 | 231 | 3.2691 | |
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| 3.1559 | 8.0 | 264 | 3.2925 | |
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| 3.1559 | 9.0 | 297 | 3.1214 | |
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| 2.9855 | 10.0 | 330 | 3.0595 | |
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| 2.8269 | 11.0 | 363 | 3.0367 | |
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| 2.8269 | 12.0 | 396 | 3.0276 | |
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| 2.7938 | 13.0 | 429 | 3.0012 | |
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| 2.7678 | 14.0 | 462 | 2.9559 | |
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| 2.7678 | 15.0 | 495 | 2.9613 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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