---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-fashion-4cat
  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-fashion-4cat

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: 1.0440

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7384        | 1.0   | 300  | 1.6380          |
| 1.3931        | 2.0   | 600  | 1.4684          |
| 1.3187        | 3.0   | 900  | 1.3165          |
| 1.3685        | 4.0   | 1200 | 1.2539          |
| 1.2105        | 5.0   | 1500 | 1.1905          |
| 1.2659        | 6.0   | 1800 | 1.1981          |
| 1.1682        | 7.0   | 2100 | 1.1874          |
| 1.1649        | 8.0   | 2400 | 1.1931          |
| 1.1522        | 9.0   | 2700 | 1.1604          |
| 1.1317        | 10.0  | 3000 | 1.1260          |
| 1.0819        | 11.0  | 3300 | 1.1122          |
| 1.0025        | 12.0  | 3600 | 1.1030          |
| 0.985         | 13.0  | 3900 | 1.0857          |
| 0.9731        | 14.0  | 4200 | 1.0724          |
| 1.0007        | 15.0  | 4500 | 1.0754          |
| 0.9768        | 16.0  | 4800 | 1.0502          |
| 1.0687        | 17.0  | 5100 | 1.0470          |
| 1.0269        | 18.0  | 5400 | 1.0400          |
| 1.0892        | 19.0  | 5700 | 1.0273          |
| 0.9363        | 20.0  | 6000 | 1.0302          |
| 1.0073        | 21.0  | 6300 | 1.0330          |
| 1.002         | 22.0  | 6600 | 1.0335          |
| 0.9418        | 23.0  | 6900 | 1.0266          |
| 0.9004        | 24.0  | 7200 | 1.0192          |
| 0.9459        | 25.0  | 7500 | 1.0213          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1