detr-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: 1.2262
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 1.6296 | 1.0 | 75 | 1.6497 |
| 1.52 | 2.0 | 150 | 1.5349 |
| 1.4591 | 3.0 | 225 | 1.4861 |
| 1.3667 | 4.0 | 300 | 1.4379 |
| 1.3715 | 5.0 | 375 | 1.3941 |
| 1.3052 | 6.0 | 450 | 1.3743 |
| 1.2863 | 7.0 | 525 | 1.3524 |
| 1.2776 | 8.0 | 600 | 1.3335 |
| 1.2615 | 9.0 | 675 | 1.3339 |
| 1.2802 | 10.0 | 750 | 1.3404 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Base model
facebook/detr-resnet-50