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: 1.6505
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: 8
- eval_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1251 | 1.0 | 125 | 3.8414 |
| 2.3946 | 2.0 | 250 | 2.2576 |
| 2.0764 | 3.0 | 375 | 1.9349 |
| 1.8577 | 4.0 | 500 | 1.7802 |
| 1.7753 | 5.0 | 625 | 1.7106 |
| 1.7306 | 6.0 | 750 | 1.6355 |
| 1.6549 | 7.0 | 875 | 1.5866 |
| 1.634 | 8.0 | 1000 | 1.5723 |
| 1.6345 | 9.0 | 1125 | 1.5614 |
| 1.6894 | 10.0 | 1250 | 1.5593 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
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Base model
facebook/detr-resnet-50