dl4cv-nicoss
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: 1.1521
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: 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
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5719 | 1.6 | 200 | 1.5520 |
| 1.4191 | 3.2 | 400 | 1.3642 |
| 1.322 | 4.8 | 600 | 1.2540 |
| 1.241 | 6.4 | 800 | 1.2295 |
| 1.1893 | 8.0 | 1000 | 1.1864 |
| 1.1621 | 9.6 | 1200 | 1.1665 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.4.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1
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Base model
facebook/detr-resnet-50