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checkpoint-5130/config.json

@@ -0,0 +1,44 @@
+{
+  "_name_or_path": "dima806/diamond_types_image_detection",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "id2label": {
+    "0": "pear",
+    "1": "cushion",
+    "2": "princess",
+    "3": "round",
+    "4": "marquise",
+    "5": "oval",
+    "6": "emerald",
+    "7": "heart"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "emerald": 6,
+    "heart": 7,
+    "marquise": 4,
+    "oval": 5,
+    "pear": 0,
+    "princess": 2,
+    "round": 3
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+  "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": "4.35.2"
+}

checkpoint-5130/model.safetensors

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checkpoint-5130/optimizer.pt

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checkpoint-5130/preprocessor_config.json

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checkpoint-5130/rng_state.pth

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checkpoint-5130/scheduler.pt

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checkpoint-5130/trainer_state.json

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checkpoint-5130/training_args.bin

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config.json

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 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "dima806/diamond_types_image_detection",
   "architectures": [
     "ViTForImageClassification"
   ],
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   "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.33.0"
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 }

model.safetensors

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