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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+datasets:
+- KhalfounMehdi/dermatology_anomaly_detection_vit
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+No validation metrics available

checkpoint-328/config.json

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+  "_num_labels": 2,
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+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0.dev0"
+}

checkpoint-328/optimizer.pt

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checkpoint-328/rng_state.pth

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checkpoint-328/trainer_state.json

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config.json

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+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_num_labels": 2,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
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+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
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+  "id2label": {
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+    "1": "malignant"
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+  "problem_type": "single_label_classification",
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+  "torch_dtype": "float32",
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+}

preprocessor_config.json

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+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
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training_params.json

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+    "push_to_hub": true,
+    "repo_id": "KhalfounMehdi/dermatology_vit",
+    "evaluation_strategy": "epoch",
+    "image_column": "image",
+    "target_column": "label"
+}