Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,37 @@
+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- friesel/autotrain-data-tarkov_images_reduced_i
+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
+co2_eq_emissions:
+  emissions: 1.402074313856096
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 48889118357
+- CO2 Emissions (in grams): 1.4021
+
+## Validation Metrics
+
+- Loss: 0.038
+- Accuracy: 0.986
+- Macro F1: 0.977
+- Micro F1: 0.986
+- Weighted F1: 0.986
+- Macro Precision: 0.980
+- Micro Precision: 0.986
+- Weighted Precision: 0.990
+- Macro Recall: 0.982
+- Micro Recall: 0.986
+- Weighted Recall: 0.986

config.json

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+{
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+  "architectures": [
+    "ViTForImageClassification"
+  ],
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+  "transformers_version": "4.25.1"
+}

preprocessor_config.json

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

pytorch_model.bin

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