metadata
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: []
detr-resnet-50-finetuned-fashionpedia
This model is a fine-tuned version of 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