metadata
library_name: transformers
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dinov2-base_rice-disease-02_111824
results: []
dinov2-base_rice-disease-02_111824
This model is a fine-tuned version of facebook/dinov2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1191
- Accuracy: 0.9654
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 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 |
|---|---|---|---|---|
| 1.4008 | 1.0 | 212 | 0.8303 | 0.5579 |
| 0.331 | 2.0 | 424 | 0.9128 | 0.2795 |
| 0.192 | 3.0 | 636 | 0.9368 | 0.2083 |
| 0.1462 | 4.0 | 848 | 0.9488 | 0.1819 |
| 0.1224 | 5.0 | 1060 | 0.9534 | 0.1633 |
| 0.1067 | 6.0 | 1272 | 0.9521 | 0.1567 |
| 0.0954 | 7.0 | 1484 | 0.9574 | 0.1431 |
| 0.0879 | 8.0 | 1696 | 0.9594 | 0.1348 |
| 0.0809 | 9.0 | 1908 | 0.9594 | 0.1325 |
| 0.0759 | 10.0 | 2120 | 0.9634 | 0.1273 |
| 0.0721 | 11.0 | 2332 | 0.1264 | 0.9607 |
| 0.0688 | 12.0 | 2544 | 0.1212 | 0.9621 |
| 0.0662 | 13.0 | 2756 | 0.1199 | 0.9654 |
| 0.0645 | 14.0 | 2968 | 0.1191 | 0.9601 |
| 0.0631 | 15.0 | 3180 | 0.1191 | 0.9654 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3