yolos-tiny-CD45RB-1000-att
This model is a fine-tuned version of hustvl/yolos-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6170
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5369 | 1.0 | 94 | 2.7680 |
| 3.4721 | 2.0 | 188 | 2.7605 |
| 3.4243 | 3.0 | 282 | 2.6854 |
| 3.3027 | 4.0 | 376 | 2.6661 |
| 3.2875 | 5.0 | 470 | 2.6692 |
| 3.2959 | 6.0 | 564 | 2.6477 |
| 3.2286 | 7.0 | 658 | 2.6885 |
| 3.1364 | 8.0 | 752 | 2.6583 |
| 3.0872 | 9.0 | 846 | 2.6667 |
| 3.0935 | 10.0 | 940 | 2.6170 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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