detr-resnet-101-CD45RB-1000-att-e4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.6218
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: 0.001
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.9448 | 1.0 | 94 | 4.6466 |
| 4.6291 | 2.0 | 188 | 4.6218 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0.dev20230107
- Datasets 2.10.0
- Tokenizers 0.13.2
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