metadata
library_name: transformers
license: apache-2.0
base_model: SenseTime/deformable-detr
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: fisheye8k_SenseTime_deformable-detr
results: []
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: 1.2359
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: 32
- 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8578 | 1.0 | 5288 | 1.4569 |
| 0.7252 | 2.0 | 10576 | 1.2005 |
| 0.6929 | 3.0 | 15864 | 1.1937 |
| 0.6535 | 4.0 | 21152 | 1.2539 |
| 0.6191 | 5.0 | 26440 | 1.2350 |
| 0.5987 | 6.0 | 31728 | 1.2300 |
| 0.5677 | 7.0 | 37016 | 1.1897 |
| 0.558 | 8.0 | 42304 | 1.2451 |
| 0.5338 | 9.0 | 47592 | 1.1865 |
| 0.5054 | 10.0 | 52880 | 1.1585 |
| 0.4795 | 11.0 | 58168 | 1.2366 |
| 0.4809 | 12.0 | 63456 | 1.2193 |
| 0.4825 | 13.0 | 68744 | 1.2375 |
| 0.4535 | 14.0 | 74032 | 1.2542 |
| 0.4357 | 15.0 | 79320 | 1.2359 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0