detr-r101-cd45rb-all-4ah
This model is a fine-tuned version of facebook/detr-resnet-101 on the cd45rb dataset. It achieves the following results on the evaluation set:
- Loss: 1.5962
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: 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3757 | 1.0 | 2303 | 1.8222 |
| 2.1779 | 2.0 | 4606 | 1.8000 |
| 2.1259 | 3.0 | 6909 | 1.7306 |
| 2.0969 | 4.0 | 9212 | 1.6854 |
| 2.0699 | 5.0 | 11515 | 1.6934 |
| 2.0398 | 6.0 | 13818 | 1.6655 |
| 2.0203 | 7.0 | 16121 | 1.6576 |
| 2.009 | 8.0 | 18424 | 1.6401 |
| 1.9923 | 9.0 | 20727 | 1.6319 |
| 1.9802 | 10.0 | 23030 | 1.6264 |
| 2.0027 | 11.0 | 25333 | 1.6539 |
| 2.0005 | 12.0 | 27636 | 1.6564 |
| 1.9861 | 13.0 | 29939 | 1.6383 |
| 1.9778 | 14.0 | 32242 | 1.6246 |
| 1.9602 | 15.0 | 34545 | 1.6119 |
| 1.9599 | 16.0 | 36848 | 1.6097 |
| 1.9464 | 17.0 | 39151 | 1.6115 |
| 1.9376 | 18.0 | 41454 | 1.6018 |
| 1.9273 | 19.0 | 43757 | 1.5967 |
| 1.928 | 20.0 | 46060 | 1.5962 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3