fisheye8k_SenseTime_deformable-detr
This model is a fine-tuned version of SenseTime/deformable-detr on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2335
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: 1
- eval_batch_size: 8
- seed: 0
- 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: cosine
- num_epochs: 36
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8943 | 1.0 | 5288 | 1.5330 |
| 0.7865 | 2.0 | 10576 | 1.4108 |
| 0.7238 | 3.0 | 15864 | 1.2660 |
| 0.6657 | 4.0 | 21152 | 1.2084 |
| 0.646 | 5.0 | 26440 | 1.2666 |
| 0.6269 | 6.0 | 31728 | 1.2555 |
| 0.6049 | 7.0 | 37016 | 1.2350 |
| 0.5894 | 8.0 | 42304 | 1.2940 |
| 0.5484 | 9.0 | 47592 | 1.2335 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
SenseTime/deformable-detr