commit files to HF hub

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: Clothes_Pattern_Classification_v2
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.9177215099334717
+---
+
+# Clothes_Pattern_Classification_v2
+
+
+Classification to recognize pattern types in clothes
+
+
+## Example Images

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Argyle",
+    "1": "Check",
+    "10": "Sequin",
+    "11": "Solid",
+    "12": "Stripe",
+    "13": "Transparent",
+    "2": "Colour blocking",
+    "3": "Denim",
+    "4": "Dot",
+    "5": "Embroidery",
+    "6": "Lace",
+    "7": "Metallic",
+    "8": "Patterns",
+    "9": "Placement print"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Argyle": "0",
+    "Check": "1",
+    "Colour blocking": "2",
+    "Denim": "3",
+    "Dot": "4",
+    "Embroidery": "5",
+    "Lace": "6",
+    "Metallic": "7",
+    "Patterns": "8",
+    "Placement print": "9",
+    "Sequin": "10",
+    "Solid": "11",
+    "Stripe": "12",
+    "Transparent": "13"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9d128d32a22ed7a3af54dbab85c6b51a1d3dfe8c69639a5b27d9652c78692718
+size 343260888

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
+  }
+}

runs/events.out.tfevents.1701895420.Prashant.1924.0

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+size 62672