Commit From AutoTrain

.gitattributes

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 *.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

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+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- galbitang/autotrain-data-jin0_sofa
+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: 0.06665506931394621
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 94923146231
+- CO2 Emissions (in grams): 0.0667
+
+## Validation Metrics
+
+- Loss: 0.897
+- Accuracy: 0.693
+- Macro F1: 0.633
+- Micro F1: 0.693
+- Weighted F1: 0.686
+- Macro Precision: 0.663
+- Micro Precision: 0.693
+- Weighted Precision: 0.693
+- Macro Recall: 0.628
+- Micro Recall: 0.693
+- Weighted Recall: 0.693

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": {
+    "0": "classicantique",
+    "1": "frenchprovence",
+    "10": "vintageretro",
+    "2": "industrial",
+    "3": "koreaaisa",
+    "4": "lovelyromantic",
+    "5": "minimalsimple",
+    "6": "modern",
+    "7": "natural",
+    "8": "notherneurope",
+    "9": "unique"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "classicantique": "0",
+    "frenchprovence": "1",
+    "industrial": "2",
+    "koreaaisa": "3",
+    "lovelyromantic": "4",
+    "minimalsimple": "5",
+    "modern": "6",
+    "natural": "7",
+    "notherneurope": "8",
+    "unique": "9",
+    "vintageretro": "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

@@ -0,0 +1,22 @@
+{
+  "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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