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---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: 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. -->
# detr-resnet-50_adamw_hf_finetuned_food-roboflow
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5869
## 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: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.0037 | 1.52 | 50 | 5.2294 |
| 4.9032 | 3.03 | 100 | 4.1657 |
| 3.9974 | 4.55 | 150 | 3.3157 |
| 3.2722 | 6.06 | 200 | 2.9964 |
| 3.0497 | 7.58 | 250 | 2.6456 |
| 2.8708 | 9.09 | 300 | 2.7218 |
| 2.7799 | 10.61 | 350 | 2.6176 |
| 2.7701 | 12.12 | 400 | 2.6078 |
| 2.677 | 13.64 | 450 | 2.5869 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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