End of training
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README.md
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---
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license: apache-2.0
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base_model: facebook/detr-resnet-101
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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-101_rmsprop_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-101_rmsprop_finetuned_food-roboflow
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This model is a fine-tuned version of [facebook/detr-resnet-101](https://huggingface.co/facebook/detr-resnet-101) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9853
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 4
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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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| 5.8836 | 0.77 | 50 | 4.5609 |
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| 3.9193 | 1.54 | 100 | 3.5764 |
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| 3.2186 | 2.31 | 150 | 3.2685 |
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| 2.8952 | 3.08 | 200 | 3.1941 |
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| 2.8565 | 3.85 | 250 | 3.1280 |
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| 2.7563 | 4.62 | 300 | 3.0448 |
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| 2.668 | 5.38 | 350 | 3.0325 |
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| 2.6474 | 6.15 | 400 | 2.9764 |
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| 2.6463 | 6.92 | 450 | 2.9752 |
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| 2.6616 | 7.69 | 500 | 3.0352 |
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| 2.5155 | 8.46 | 550 | 2.9928 |
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| 2.5778 | 9.23 | 600 | 2.9603 |
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| 2.5876 | 10.0 | 650 | 2.9502 |
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| 2.513 | 10.77 | 700 | 3.0151 |
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| 2.5598 | 11.54 | 750 | 3.0011 |
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| 2.491 | 12.31 | 800 | 3.0134 |
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| 2.5103 | 13.08 | 850 | 2.9825 |
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| 2.5497 | 13.85 | 900 | 3.0169 |
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| 2.5738 | 14.62 | 950 | 2.9853 |
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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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model.safetensors
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runs/Nov13_17-59-50_9bdb2166ef95/events.out.tfevents.1699898395.9bdb2166ef95.640.1
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