Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnextv2-base-1k-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Expert1-leaf-disease-convnextv2-base-1k-224-0_4
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.776566757493188
+---
+
+<!-- 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. -->
+
+# Expert1-leaf-disease-convnextv2-base-1k-224-0_4
+
+This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5130
+- Accuracy: 0.7766
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.73  | 2    | 1.5191          | 0.4986   |
+| No log        | 1.82  | 5    | 1.1824          | 0.7003   |
+| No log        | 2.91  | 8    | 0.9376          | 0.7030   |
+| 1.2488        | 4.0   | 11   | 0.7720          | 0.7030   |
+| 1.2488        | 4.73  | 13   | 0.7011          | 0.7057   |
+| 1.2488        | 5.82  | 16   | 0.6272          | 0.7275   |
+| 1.2488        | 6.91  | 19   | 0.5783          | 0.7738   |
+| 0.6707        | 8.0   | 22   | 0.5519          | 0.7820   |
+| 0.6707        | 8.73  | 24   | 0.5381          | 0.7711   |
+| 0.6707        | 9.82  | 27   | 0.5263          | 0.7684   |
+| 0.5104        | 10.91 | 30   | 0.5152          | 0.7738   |
+| 0.5104        | 11.64 | 32   | 0.5130          | 0.7766   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.1

model.safetensors

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