deta-cd45rb-2ah-4l
This model is a fine-tuned version of jozhang97/deta-swin-large on the cd45rb_nan_xywh dataset. It achieves the following results on the evaluation set:
- Loss: 4.1179
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 |
|---|---|---|---|
| 4.5965 | 1.0 | 4606 | 6.6771 |
| 4.4496 | 2.0 | 9212 | 6.5968 |
| 4.0734 | 3.0 | 13818 | 6.0809 |
| 3.7428 | 4.0 | 18424 | 5.4416 |
| 3.6307 | 5.0 | 23030 | 5.4795 |
| 3.6208 | 6.0 | 27636 | 5.0199 |
| 3.7471 | 7.0 | 32242 | 4.5272 |
| 3.6253 | 8.0 | 36848 | 4.2548 |
| 3.5243 | 9.0 | 41454 | 4.1402 |
| 3.4963 | 10.0 | 46060 | 4.1179 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Downloads last month
- 1
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.