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library_name: transformers
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-base-patch4-window7-224_rice-leaf-disease-augmented-v2_tl
This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6677
- Accuracy: 0.7857
## 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: 128
- eval_batch_size: 128
- 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_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9001 | 1.0 | 63 | 1.6795 | 0.4613 |
| 1.429 | 2.0 | 126 | 1.2172 | 0.6310 |
| 1.0492 | 3.0 | 189 | 1.0030 | 0.6905 |
| 0.8729 | 4.0 | 252 | 0.8982 | 0.7381 |
| 0.7743 | 5.0 | 315 | 0.8246 | 0.7321 |
| 0.7084 | 6.0 | 378 | 0.7977 | 0.7440 |
| 0.6631 | 7.0 | 441 | 0.7650 | 0.7649 |
| 0.6279 | 8.0 | 504 | 0.7327 | 0.7619 |
| 0.6004 | 9.0 | 567 | 0.7189 | 0.7768 |
| 0.577 | 10.0 | 630 | 0.7078 | 0.7798 |
| 0.5625 | 11.0 | 693 | 0.6952 | 0.7738 |
| 0.5449 | 12.0 | 756 | 0.6857 | 0.7857 |
| 0.537 | 13.0 | 819 | 0.6802 | 0.7827 |
| 0.5301 | 14.0 | 882 | 0.6746 | 0.7857 |
| 0.5224 | 15.0 | 945 | 0.6715 | 0.7857 |
| 0.5188 | 16.0 | 1008 | 0.6704 | 0.7857 |
| 0.5153 | 17.0 | 1071 | 0.6685 | 0.7857 |
| 0.5112 | 18.0 | 1134 | 0.6676 | 0.7857 |
| 0.5119 | 19.0 | 1197 | 0.6678 | 0.7857 |
| 0.5112 | 20.0 | 1260 | 0.6677 | 0.7857 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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