vit-base-patch16-224_rice-leaf-disease-augmented-v4_tl
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: 0.5193
- Accuracy: 0.8087
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: 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: cosine_with_restarts
- lr_scheduler_warmup_steps: 256
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Accuracy | Validation Loss |
---|---|---|---|---|
2.1191 | 0.5 | 64 | 0.2047 | 2.0173 |
1.8193 | 1.0 | 128 | 0.4832 | 1.6229 |
1.44 | 1.5 | 192 | 0.6174 | 1.2769 |
1.1762 | 2.0 | 256 | 0.6980 | 1.0259 |
0.9676 | 2.5 | 320 | 0.6980 | 0.9041 |
0.8685 | 3.0 | 384 | 0.7383 | 0.7951 |
0.7844 | 3.5 | 448 | 0.7517 | 0.7532 |
0.733 | 4.0 | 512 | 0.7785 | 0.7018 |
0.7003 | 4.5 | 576 | 0.7651 | 0.6940 |
0.6781 | 5.0 | 640 | 0.7651 | 0.6819 |
0.6612 | 5.5 | 704 | 0.7550 | 0.6835 |
0.666 | 6.0 | 768 | 0.7718 | 0.6758 |
0.6791 | 6.5 | 832 | 0.7617 | 0.6722 |
0.6181 | 7.0 | 896 | 0.7752 | 0.6301 |
0.6064 | 7.5 | 960 | 0.7919 | 0.6013 |
0.5787 | 8.0 | 1024 | 0.7953 | 0.5856 |
0.5507 | 8.5 | 1088 | 0.7919 | 0.5859 |
0.5554 | 9.0 | 1152 | 0.7953 | 0.5857 |
0.536 | 9.5 | 1216 | 0.7987 | 0.5689 |
0.5298 | 10.0 | 1280 | 0.8020 | 0.5709 |
0.5244 | 10.5 | 1344 | 0.8054 | 0.5704 |
0.5301 | 11.0 | 1408 | 0.8054 | 0.5655 |
0.5172 | 11.5 | 1472 | 0.8020 | 0.5619 |
0.499 | 12.0 | 1536 | 0.8154 | 0.5307 |
0.4796 | 12.5 | 1600 | 0.8087 | 0.5256 |
0.477 | 13.0 | 1664 | 0.8087 | 0.5268 |
0.4648 | 13.5 | 1728 | 0.8054 | 0.5203 |
0.4564 | 14.0 | 1792 | 0.8087 | 0.5198 |
0.46 | 14.5 | 1856 | 0.5198 | 0.8121 |
0.4465 | 15.0 | 1920 | 0.5193 | 0.8087 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
google/vit-base-patch16-224