detr-r50-cd45rb-8ah-4l-auxiliary_loss
This model is a fine-tuned version of facebook/detr-resnet-50 on the cd45rb_nan_xywh dataset. It achieves the following results on the evaluation set:
- Loss: 8.7759
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-06
- 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 |
---|---|---|---|
14.0935 | 1.0 | 4606 | 10.4579 |
12.8064 | 2.0 | 9212 | 9.8350 |
12.2489 | 3.0 | 13818 | 9.4135 |
11.9486 | 4.0 | 18424 | 9.1927 |
11.7307 | 5.0 | 23030 | 9.0325 |
11.5563 | 6.0 | 27636 | 8.9349 |
11.4443 | 7.0 | 32242 | 8.8621 |
11.3564 | 8.0 | 36848 | 8.8135 |
11.3138 | 9.0 | 41454 | 8.7909 |
11.294 | 10.0 | 46060 | 8.7759 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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