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all_results.json

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+{
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+}

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
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+  "encoder_stride": 16,
+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
+    "0": "basenji",
+    "1": "bouvier_des_flandres",
+    "2": "clumber",
+    "3": "eskimo_dog",
+    "4": "lhasa"
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+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "basenji": "0",
+    "bouvier_des_flandres": "1",
+    "clumber": "2",
+    "eskimo_dog": "3",
+    "lhasa": "4"
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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": "4.27.4"
+}

preprocessor_config.json

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

pytorch_model.bin

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train_results.json

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+}

trainer_state.json

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+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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training_args.bin

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