---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr_fashionpedia_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_fashionpedia_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: 1.5919

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 94   | 4.4474          |
| 4.35          | 2.0   | 188  | 4.0507          |
| 4.0018        | 3.0   | 282  | 3.4614          |
| 3.4206        | 4.0   | 376  | 2.6122          |
| 2.6373        | 5.0   | 470  | 2.1421          |
| 2.1656        | 6.0   | 564  | 1.9358          |
| 1.9312        | 7.0   | 658  | 1.8075          |
| 1.7873        | 8.0   | 752  | 1.7616          |
| 1.7104        | 9.0   | 846  | 1.7005          |
| 1.6826        | 10.0  | 940  | 1.6789          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.4.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1