Commit From AutoTrain

.gitattributes

@@ -33,3 +33,6 @@ 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:
+- galbitang/autotrain-data-lamp_style_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
+co2_eq_emissions:
+  emissions: 0.05306189559817472
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 94491146122
+- CO2 Emissions (in grams): 0.0531
+
+## Validation Metrics
+
+- Loss: 1.199
+- Accuracy: 0.574
+- Macro F1: 0.422
+- Micro F1: 0.574
+- Weighted F1: 0.552
+- Macro Precision: 0.484
+- Micro Precision: 0.574
+- Weighted Precision: 0.554
+- Macro Recall: 0.418
+- Micro Recall: 0.574
+- Weighted Recall: 0.574

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
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+    "10": "\ud55c\uad6d\uc544\uc2dc\uc544",
+    "2": "\ubaa8\ub358",
+    "3": "\ubbf8\ub2c8\uba40\uc2ec\ud50c",
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+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "\ub0b4\ucd94\ub7f4": "0",
+    "\ub7ec\ube14\ub9ac\ub85c\ub9e8\ud2f1": "1",
+    "\ubaa8\ub358": "2",
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+    "\ud55c\uad6d\uc544\uc2dc\uc544": "10"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 128,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "padding": "max_length",
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2"
+}

model.safetensors

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+size 343251660

preprocessor_config.json

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

pytorch_model.bin

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