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config.json

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+{
+  "_name_or_path": "trained_model/cleaned_v1/final",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "None",
+    "1": "Roadwork"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "None": 0,
+    "Roadwork": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4ac0d04213455e2e558c7d9f89de083a3619b165cb5dc514ab3492daa9e5fca0
+size 343223968

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": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_results.json

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+{
+  "eval_split": "Test",
+  "accuracy": 0.9954,
+  "f1": 0.9964,
+  "mcc": 0.9902,
+  "precision": 1.0,
+  "recall": 0.9928,
+  "target_acc": 0.99,
+  "target_f1": 0.99,
+  "best_metric (val F1)": 0.9978,
+  "best_epoch": 5.0
+}