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

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: 1.2560

## 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: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9388        | 1.0   | 500  | 1.6931          |
| 1.6687        | 2.0   | 1000 | 1.6105          |
| 1.6005        | 3.0   | 1500 | 1.4854          |
| 1.4927        | 4.0   | 2000 | 1.4709          |
| 1.433         | 5.0   | 2500 | 1.3741          |
| 1.3916        | 6.0   | 3000 | 1.3862          |
| 1.3196        | 7.0   | 3500 | 1.3261          |
| 1.2961        | 8.0   | 4000 | 1.2754          |
| 1.25          | 9.0   | 4500 | 1.2689          |
| 1.2318        | 10.0  | 5000 | 1.2476          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1