save-model-final-fork
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window16-256 on the jbarat/plant_species dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
- Accuracy: 1.0
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 21
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| No log | 1.0 | 10 | 0.725 | 0.7459 |
| No log | 2.0 | 20 | 0.875 | 0.5996 |
| No log | 3.0 | 30 | 0.7375 | 0.8398 |
| No log | 4.0 | 40 | 0.8125 | 0.6444 |
| No log | 5.0 | 50 | 0.8375 | 0.6891 |
| No log | 6.0 | 60 | 0.825 | 0.6675 |
| No log | 7.0 | 70 | 0.8375 | 0.7300 |
| No log | 8.0 | 80 | 0.85 | 0.8635 |
| No log | 9.0 | 90 | 0.95 | 0.3333 |
| 0.1657 | 10.0 | 100 | 0.9375 | 0.2634 |
| 0.1657 | 11.0 | 110 | 0.9375 | 0.3821 |
| 0.1657 | 12.0 | 120 | 0.9625 | 0.2343 |
| 0.1657 | 13.0 | 130 | 0.9375 | 0.3103 |
| 0.1657 | 14.0 | 140 | 0.95 | 0.3481 |
| 0.1657 | 15.0 | 150 | 0.9625 | 0.2419 |
| 0.1657 | 16.0 | 160 | 0.9375 | 0.2408 |
| 0.1657 | 17.0 | 170 | 0.95 | 0.3202 |
| 0.1657 | 18.0 | 180 | 0.9125 | 0.4016 |
| 0.1657 | 19.0 | 190 | 0.925 | 0.3918 |
| 0.0254 | 20.0 | 200 | 0.9375 | 0.3874 |
| 0.0254 | 21.0 | 210 | 0.0006 | 1.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2