swin-tiny-patch4-window7-224-finetuned-plant-classification-finetuned-crops-classification
This model is a fine-tuned version of weightbot/swin-tiny-patch4-window7-224-finetuned-plant-classification on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4259
- Accuracy: 0.8351
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4225 | 1.0 | 183 | 0.3415 | 0.8703 |
| 0.4843 | 2.0 | 367 | 0.4024 | 0.8381 |
| 0.4679 | 3.0 | 550 | 0.4014 | 0.8385 |
| 0.4431 | 4.0 | 734 | 0.3986 | 0.8331 |
| 0.4263 | 5.0 | 917 | 0.4119 | 0.8351 |
| 0.3869 | 6.0 | 1101 | 0.4217 | 0.8278 |
| 0.3432 | 7.0 | 1284 | 0.4229 | 0.8305 |
| 0.3522 | 8.0 | 1468 | 0.4283 | 0.8347 |
| 0.3337 | 9.0 | 1651 | 0.4180 | 0.8301 |
| 0.2963 | 10.0 | 1835 | 0.4219 | 0.8366 |
| 0.3025 | 11.0 | 2018 | 0.4236 | 0.8335 |
| 0.2751 | 12.0 | 2202 | 0.4238 | 0.8366 |
| 0.271 | 13.0 | 2385 | 0.4314 | 0.8324 |
| 0.2416 | 14.0 | 2569 | 0.4229 | 0.8328 |
| 0.2507 | 14.96 | 2745 | 0.4259 | 0.8351 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1