Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/beit-base-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: beit-base-patch16-224_rice-disease-02_111724
+  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. -->
+
+# beit-base-patch16-224_rice-disease-02_111724
+
+This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1321
+- Accuracy: 0.9574
+
+## 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: 16
+- eval_batch_size: 8
+- 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  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.3364        | 1.0   | 845   | 0.5174          | 0.8430   |
+| 0.344         | 2.0   | 1690  | 0.2503          | 0.9222   |
+| 0.2076        | 3.0   | 2535  | 0.1983          | 0.9375   |
+| 0.1649        | 4.0   | 3380  | 0.1730          | 0.9468   |
+| 0.1443        | 5.0   | 4225  | 0.1581          | 0.9528   |
+| 0.1261        | 6.0   | 5070  | 0.1544          | 0.9554   |
+| 0.1166        | 7.0   | 5915  | 0.1498          | 0.9528   |
+| 0.1097        | 8.0   | 6760  | 0.1479          | 0.9554   |
+| 0.1017        | 9.0   | 7605  | 0.1477          | 0.9501   |
+| 0.1016        | 10.0  | 8450  | 0.1382          | 0.9561   |
+| 0.0946        | 11.0  | 9295  | 0.1362          | 0.9574   |
+| 0.0934        | 12.0  | 10140 | 0.1330          | 0.9587   |
+| 0.0903        | 13.0  | 10985 | 0.1330          | 0.9548   |
+| 0.0863        | 14.0  | 11830 | 0.1323          | 0.9568   |
+| 0.0877        | 15.0  | 12675 | 0.1321          | 0.9574   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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