metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224_rice-leaf-disease-augmented_tl_020125
results: []
vit-base-patch16-224_rice-leaf-disease-augmented_tl_020125
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6522
- Accuracy: 0.7885
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.023 | 1.0 | 250 | 0.406 | 1.7331 |
| 1.4339 | 2.0 | 500 | 0.638 | 1.1983 |
| 1.0891 | 3.0 | 750 | 0.6985 | 0.9888 |
| 0.9387 | 4.0 | 1000 | 0.728 | 0.8833 |
| 0.8519 | 5.0 | 1250 | 0.7455 | 0.8170 |
| 0.7933 | 6.0 | 1500 | 0.7575 | 0.7714 |
| 0.7515 | 7.0 | 1750 | 0.7635 | 0.7390 |
| 0.7208 | 8.0 | 2000 | 0.7695 | 0.7137 |
| 0.6967 | 9.0 | 2250 | 0.774 | 0.6958 |
| 0.6787 | 10.0 | 2500 | 0.7795 | 0.6809 |
| 0.6644 | 11.0 | 2750 | 0.783 | 0.6697 |
| 0.6539 | 12.0 | 3000 | 0.7825 | 0.6619 |
| 0.6463 | 13.0 | 3250 | 0.7875 | 0.6563 |
| 0.6411 | 14.0 | 3500 | 0.789 | 0.6533 |
| 0.6385 | 15.0 | 3750 | 0.7885 | 0.6522 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0