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---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50-dc5
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50-dc5-fashionpedia-finetuned
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-dc5-fashionpedia-finetuned
This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2904
## 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: 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
- training_steps: 1000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.7281 | 0.0438 | 50 | 4.3705 |
| 3.9353 | 0.0876 | 100 | 4.0499 |
| 4.5369 | 0.1315 | 150 | 3.8890 |
| 3.9156 | 0.1753 | 200 | 3.7630 |
| 3.6006 | 0.2191 | 250 | 3.6861 |
| 3.6562 | 0.2629 | 300 | 3.6110 |
| 3.7636 | 0.3067 | 350 | 3.5906 |
| 4.0293 | 0.3506 | 400 | 3.5405 |
| 3.533 | 0.3944 | 450 | 3.4906 |
| 3.1302 | 0.4382 | 500 | 3.4249 |
| 3.8257 | 0.4820 | 550 | 3.3910 |
| 2.9622 | 0.5259 | 600 | 3.3622 |
| 3.9213 | 0.5697 | 650 | 3.3310 |
| 4.4062 | 0.6135 | 700 | 3.3303 |
| 4.3076 | 0.6573 | 750 | 3.3105 |
| 4.0868 | 0.7011 | 800 | 3.3040 |
| 4.0639 | 0.7450 | 850 | 3.3076 |
| 4.7454 | 0.7888 | 900 | 3.2996 |
| 4.3044 | 0.8326 | 950 | 3.2935 |
| 3.9519 | 0.8764 | 1000 | 3.2904 |
### Framework versions
- Transformers 4.51.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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