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vit-b16-plant_village

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 ---
-library_name: transformers
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 ---
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 ---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-b16-plant_village
+  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. -->
+# vit-b16-plant_village
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0173
+- Accuracy: 0.9966
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2048        | 1.0   | 3119  | 0.0559          | 0.9798   |
+| 0.0639        | 2.0   | 6238  | 0.0475          | 0.9879   |
+| 0.0004        | 3.0   | 9357  | 0.0241          | 0.9957   |
+| 0.01          | 4.0   | 12476 | 0.0173          | 0.9966   |
+### Framework versions
+- Transformers 4.37.1
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

preprocessor_config.json ADDED Viewed

	@@ -0,0 +1,22 @@

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+  "do_resize": true,
+  "image_mean": [
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+    0.5
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+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
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+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "width": 224
+  }
+}

training_args.bin ADDED Viewed

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