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: BaseModel-leaf-disease-convnextv2-base-1k-224-0_1_2_3_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: 0.8738317757009346
+---
+
+<!-- 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. -->
+
+# BaseModel-leaf-disease-convnextv2-base-1k-224-0_1_2_3_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: 0.3737
+- Accuracy: 0.8738
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9249        | 0.98  | 16   | 0.6211          | 0.7752   |
+| 0.5028        | 1.97  | 32   | 0.4815          | 0.8411   |
+| 0.4421        | 2.95  | 48   | 0.4503          | 0.8533   |
+| 0.4009        | 4.0   | 65   | 0.4187          | 0.8607   |
+| 0.3821        | 4.98  | 81   | 0.4080          | 0.8626   |
+| 0.3672        | 5.97  | 97   | 0.3952          | 0.8626   |
+| 0.3544        | 6.95  | 113  | 0.3927          | 0.8701   |
+| 0.3287        | 8.0   | 130  | 0.3848          | 0.8734   |
+| 0.327         | 8.98  | 146  | 0.3877          | 0.8696   |
+| 0.3239        | 9.97  | 162  | 0.3783          | 0.8701   |
+| 0.3113        | 10.95 | 178  | 0.3746          | 0.8724   |
+| 0.3146        | 12.0  | 195  | 0.3736          | 0.8734   |
+| 0.3031        | 12.98 | 211  | 0.3747          | 0.8692   |
+| 0.3075        | 13.97 | 227  | 0.3752          | 0.8738   |
+| 0.3071        | 14.95 | 243  | 0.3759          | 0.8762   |
+| 0.3028        | 15.75 | 256  | 0.3737          | 0.8738   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.1

model.safetensors

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