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detr-r50-cd45rb-8ah-4l-f-c
This model is a fine-tuned version of facebook/detr-resnet-50 on the cd45rb_nan dataset. It achieves the following results on the evaluation set:
- Loss: 0.9492
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9191 | 1.0 | 4606 | 1.2037 |
| 1.5088 | 2.0 | 9212 | 1.0928 |
| 1.4004 | 3.0 | 13818 | 1.0352 |
| 1.3481 | 4.0 | 18424 | 1.0200 |
| 1.3104 | 5.0 | 23030 | 1.0003 |
| 1.2791 | 6.0 | 27636 | 1.0887 |
| 1.2555 | 7.0 | 32242 | 0.9727 |
| 1.2354 | 8.0 | 36848 | 0.9575 |
| 1.2231 | 9.0 | 41454 | 0.9552 |
| 1.212 | 10.0 | 46060 | 0.9492 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
