Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnextv2-base-22k-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: switch_gate-leaf-disease-convnextv2-base-22k-224
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: None
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9378504672897197
+---
+
+<!-- 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. -->
+
+# switch_gate-leaf-disease-convnextv2-base-22k-224
+
+This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1674
+- Accuracy: 0.9379
+
+## 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: 5e-05
+- train_batch_size: 300
+- eval_batch_size: 300
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 1200
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6005        | 0.98  | 16   | 0.3258          | 0.8701   |
+| 0.234         | 1.97  | 32   | 0.2121          | 0.9173   |
+| 0.197         | 2.95  | 48   | 0.1869          | 0.9271   |
+| 0.1613        | 4.0   | 65   | 0.1692          | 0.9336   |
+| 0.1536        | 4.98  | 81   | 0.1616          | 0.9397   |
+| 0.1426        | 5.97  | 97   | 0.1628          | 0.9355   |
+| 0.132         | 6.95  | 113  | 0.1609          | 0.9407   |
+| 0.1304        | 8.0   | 130  | 0.1597          | 0.9402   |
+| 0.1245        | 8.98  | 146  | 0.1628          | 0.9350   |
+| 0.1224        | 9.97  | 162  | 0.1664          | 0.9364   |
+| 0.1143        | 10.95 | 178  | 0.1615          | 0.9388   |
+| 0.1106        | 12.0  | 195  | 0.1641          | 0.9393   |
+| 0.103         | 12.98 | 211  | 0.1689          | 0.9374   |
+| 0.1047        | 13.97 | 227  | 0.1673          | 0.9379   |
+| 0.102         | 14.95 | 243  | 0.1681          | 0.9397   |
+| 0.1038        | 15.75 | 256  | 0.1674          | 0.9379   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.1

model.safetensors

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