metadata
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-fashion-4cat
results: []
detr-fashion-4cat
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: 1.0440
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: 4
- eval_batch_size: 4
- 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: 25
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.7384 | 1.0 | 300 | 1.6380 |
1.3931 | 2.0 | 600 | 1.4684 |
1.3187 | 3.0 | 900 | 1.3165 |
1.3685 | 4.0 | 1200 | 1.2539 |
1.2105 | 5.0 | 1500 | 1.1905 |
1.2659 | 6.0 | 1800 | 1.1981 |
1.1682 | 7.0 | 2100 | 1.1874 |
1.1649 | 8.0 | 2400 | 1.1931 |
1.1522 | 9.0 | 2700 | 1.1604 |
1.1317 | 10.0 | 3000 | 1.1260 |
1.0819 | 11.0 | 3300 | 1.1122 |
1.0025 | 12.0 | 3600 | 1.1030 |
0.985 | 13.0 | 3900 | 1.0857 |
0.9731 | 14.0 | 4200 | 1.0724 |
1.0007 | 15.0 | 4500 | 1.0754 |
0.9768 | 16.0 | 4800 | 1.0502 |
1.0687 | 17.0 | 5100 | 1.0470 |
1.0269 | 18.0 | 5400 | 1.0400 |
1.0892 | 19.0 | 5700 | 1.0273 |
0.9363 | 20.0 | 6000 | 1.0302 |
1.0073 | 21.0 | 6300 | 1.0330 |
1.002 | 22.0 | 6600 | 1.0335 |
0.9418 | 23.0 | 6900 | 1.0266 |
0.9004 | 24.0 | 7200 | 1.0192 |
0.9459 | 25.0 | 7500 | 1.0213 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1