---
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