---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr
  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

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8164

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.05
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2214        | 0.01  | 25   | 2.3644          |
| 2.21          | 0.01  | 50   | 2.1607          |
| 2.0636        | 0.01  | 75   | 2.1884          |
| 2.1722        | 0.02  | 100  | 2.3081          |
| 2.3687        | 0.03  | 125  | 1.9743          |
| 2.0154        | 0.03  | 150  | 1.9790          |
| 1.8828        | 0.04  | 175  | 1.9207          |
| 1.9719        | 0.04  | 200  | 1.8296          |
| 1.7973        | 0.04  | 225  | 1.8404          |
| 1.687         | 0.05  | 250  | 1.8164          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2