swinv2-tiny-patch4-window8-256-finetuned-IDRiD-2
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9575
- Precision: 0.6190
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision |
|---|---|---|---|---|
| No log | 1.0 | 3 | 1.1320 | 0.5476 |
| No log | 2.0 | 6 | 1.0104 | 0.5714 |
| No log | 3.0 | 9 | 0.9262 | 0.5714 |
| 0.9507 | 4.0 | 12 | 0.9342 | 0.6190 |
| 0.9507 | 5.0 | 15 | 0.9575 | 0.6190 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3