metadata
library_name: transformers
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: cppe5_setup_on_roadsign_test
results: []
cppe5_setup_on_roadsign_test
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7737
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 35 | 3.7723 |
| No log | 2.0 | 70 | 1.9201 |
| No log | 3.0 | 105 | 1.4291 |
| No log | 4.0 | 140 | 1.3266 |
| No log | 5.0 | 175 | 1.2345 |
| No log | 6.0 | 210 | 1.0995 |
| No log | 7.0 | 245 | 1.0747 |
| No log | 8.0 | 280 | 1.0331 |
| No log | 9.0 | 315 | 0.9756 |
| No log | 10.0 | 350 | 0.9451 |
| No log | 11.0 | 385 | 0.8785 |
| No log | 12.0 | 420 | 0.8856 |
| No log | 13.0 | 455 | 0.8277 |
| No log | 14.0 | 490 | 0.8373 |
| 3.9603 | 15.0 | 525 | 0.8116 |
| 3.9603 | 16.0 | 560 | 0.8188 |
| 3.9603 | 17.0 | 595 | 0.8119 |
| 3.9603 | 18.0 | 630 | 0.7920 |
| 3.9603 | 19.0 | 665 | 0.7772 |
| 3.9603 | 20.0 | 700 | 0.7651 |
| 3.9603 | 21.0 | 735 | 0.7721 |
| 3.9603 | 22.0 | 770 | 0.7944 |
| 3.9603 | 23.0 | 805 | 0.7888 |
| 3.9603 | 24.0 | 840 | 0.7523 |
| 3.9603 | 25.0 | 875 | 0.7697 |
| 3.9603 | 26.0 | 910 | 0.7568 |
| 3.9603 | 27.0 | 945 | 0.7680 |
| 3.9603 | 28.0 | 980 | 0.7712 |
| 0.7588 | 29.0 | 1015 | 0.7740 |
| 0.7588 | 30.0 | 1050 | 0.7737 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0
- Datasets 4.1.1
- Tokenizers 0.22.1