detr-r50-mist1-bg-8ah-4l
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: 2.9274
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4466 | 1.0 | 115 | 3.8127 |
| 3.85 | 2.0 | 230 | 3.8636 |
| 3.8198 | 3.0 | 345 | 3.6179 |
| 3.6799 | 4.0 | 460 | 3.4558 |
| 3.5806 | 5.0 | 575 | 3.2328 |
| 3.4958 | 6.0 | 690 | 3.3407 |
| 3.4662 | 7.0 | 805 | 3.1567 |
| 3.4295 | 8.0 | 920 | 3.0499 |
| 3.3977 | 9.0 | 1035 | 3.0460 |
| 3.3853 | 10.0 | 1150 | 3.0481 |
| 3.3608 | 11.0 | 1265 | 3.0337 |
| 3.2873 | 12.0 | 1380 | 3.0535 |
| 3.3164 | 13.0 | 1495 | 3.0140 |
| 3.2745 | 14.0 | 1610 | 3.0667 |
| 3.2691 | 15.0 | 1725 | 3.0134 |
| 3.2735 | 16.0 | 1840 | 3.0207 |
| 3.2718 | 17.0 | 1955 | 3.0004 |
| 3.2504 | 18.0 | 2070 | 3.1082 |
| 3.243 | 19.0 | 2185 | 2.9369 |
| 3.1669 | 20.0 | 2300 | 2.9596 |
| 3.1844 | 21.0 | 2415 | 2.9170 |
| 3.1979 | 22.0 | 2530 | 2.9344 |
| 3.1702 | 23.0 | 2645 | 2.9262 |
| 3.1738 | 24.0 | 2760 | 2.9251 |
| 3.1606 | 25.0 | 2875 | 2.9274 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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