results
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7669
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 12.8436 | 1.0 | 4 | 11.5652 |
| 12.8436 | 2.0 | 8 | 8.6499 |
| 12.8436 | 3.0 | 12 | 6.6430 |
| 12.8436 | 4.0 | 16 | 5.4425 |
| 12.8436 | 5.0 | 20 | 4.4521 |
| 12.8436 | 6.0 | 24 | 3.9127 |
| 12.8436 | 7.0 | 28 | 3.3273 |
| 12.8436 | 8.0 | 32 | 3.0743 |
| 12.8436 | 9.0 | 36 | 2.8087 |
| 12.8436 | 10.0 | 40 | 2.5618 |
| 12.8436 | 11.0 | 44 | 2.4515 |
| 12.8436 | 12.0 | 48 | 2.3580 |
| 12.8436 | 13.0 | 52 | 2.2749 |
| 12.8436 | 14.0 | 56 | 2.1216 |
| 12.8436 | 15.0 | 60 | 2.0890 |
| 12.8436 | 16.0 | 64 | 2.0283 |
| 12.8436 | 17.0 | 68 | 2.0358 |
| 12.8436 | 18.0 | 72 | 1.9374 |
| 12.8436 | 19.0 | 76 | 1.9090 |
| 12.8436 | 20.0 | 80 | 1.8779 |
| 12.8436 | 21.0 | 84 | 1.8474 |
| 12.8436 | 22.0 | 88 | 1.8371 |
| 12.8436 | 23.0 | 92 | 1.8247 |
| 12.8436 | 24.0 | 96 | 1.8031 |
| 12.8436 | 25.0 | 100 | 1.7836 |
| 12.8436 | 26.0 | 104 | 1.7500 |
| 12.8436 | 27.0 | 108 | 1.7332 |
| 12.8436 | 28.0 | 112 | 1.7477 |
| 12.8436 | 29.0 | 116 | 1.7634 |
| 12.8436 | 30.0 | 120 | 1.7669 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cpu
- Datasets 3.3.2
- Tokenizers 0.21.0