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---
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
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