plant-seedlings-model-freeze-1
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2053
- Accuracy: 0.9618
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4645 | 0.8 | 100 | 0.3145 | 0.8965 |
| 0.1731 | 1.6 | 200 | 0.2368 | 0.9188 |
| 0.1494 | 2.4 | 300 | 0.2755 | 0.9196 |
| 0.0819 | 3.2 | 400 | 0.1742 | 0.9530 |
| 0.0847 | 4.0 | 500 | 0.2245 | 0.9459 |
| 0.1155 | 4.8 | 600 | 0.4147 | 0.9140 |
| 0.0406 | 5.6 | 700 | 0.1918 | 0.9522 |
| 0.005 | 6.4 | 800 | 0.2489 | 0.9451 |
| 0.0003 | 7.2 | 900 | 0.2258 | 0.9530 |
| 0.0002 | 8.0 | 1000 | 0.2189 | 0.9570 |
| 0.0001 | 8.8 | 1100 | 0.2014 | 0.9618 |
| 0.0001 | 9.6 | 1200 | 0.2009 | 0.9626 |
| 0.0001 | 10.4 | 1300 | 0.2026 | 0.9610 |
| 0.0001 | 11.2 | 1400 | 0.2029 | 0.9610 |
| 0.0001 | 12.0 | 1500 | 0.2035 | 0.9618 |
| 0.0001 | 12.8 | 1600 | 0.2042 | 0.9626 |
| 0.0001 | 13.6 | 1700 | 0.2046 | 0.9618 |
| 0.0001 | 14.4 | 1800 | 0.2049 | 0.9618 |
| 0.0001 | 15.2 | 1900 | 0.2052 | 0.9626 |
| 0.0001 | 16.0 | 2000 | 0.2053 | 0.9618 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3