weeds_hfclass14
Model is trained on imbalanced dataset/ .8 .1 .1 split/ 224x224 resized
Dataset: https://www.kaggle.com/datasets/vbookshelf/v2-plant-seedlings-dataset
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1414
- Accuracy: 0.9625
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5465 | 1.0 | 69 | 0.3265 | 0.9071 |
| 0.2812 | 2.0 | 138 | 0.2354 | 0.9304 |
| 0.2029 | 3.0 | 207 | 0.1909 | 0.9304 |
| 0.157 | 4.0 | 276 | 0.1910 | 0.9411 |
| 0.1556 | 5.0 | 345 | 0.2176 | 0.9321 |
| 0.1212 | 6.0 | 414 | 0.1597 | 0.9625 |
| 0.1256 | 7.0 | 483 | 0.1335 | 0.9661 |
| 0.0962 | 8.0 | 552 | 0.1714 | 0.9464 |
| 0.1005 | 9.0 | 621 | 0.1453 | 0.9571 |
| 0.0944 | 10.0 | 690 | 0.1414 | 0.9625 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
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