detr-resnet-50-CD45RB-1000-att
This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7065
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: 0.0001
- train_batch_size: 8
- 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
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.4338 | 1.0 | 94 | 2.4137 |
2.9565 | 2.0 | 188 | 2.1738 |
2.7101 | 3.0 | 282 | 2.0122 |
2.7515 | 4.0 | 376 | 1.9646 |
2.724 | 5.0 | 470 | 2.1284 |
2.6193 | 6.0 | 564 | 1.9380 |
2.5032 | 7.0 | 658 | 1.9286 |
2.5342 | 8.0 | 752 | 1.9366 |
2.5519 | 9.0 | 846 | 1.9736 |
2.4988 | 10.0 | 940 | 1.8816 |
2.5101 | 11.0 | 1034 | 1.8454 |
2.4441 | 12.0 | 1128 | 1.8143 |
2.3857 | 13.0 | 1222 | 1.7919 |
2.2877 | 14.0 | 1316 | 1.7400 |
2.3013 | 15.0 | 1410 | 1.7409 |
2.3134 | 16.0 | 1504 | 1.7698 |
2.3423 | 17.0 | 1598 | 1.7581 |
2.3536 | 18.0 | 1692 | 1.7658 |
2.2957 | 19.0 | 1786 | 1.7329 |
2.274 | 20.0 | 1880 | 1.7335 |
2.2906 | 21.0 | 1974 | 1.7343 |
2.2492 | 22.0 | 2068 | 1.7080 |
2.2516 | 23.0 | 2162 | 1.7180 |
2.2574 | 24.0 | 2256 | 1.7081 |
2.2508 | 25.0 | 2350 | 1.7065 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
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