Training in progress, epoch 0

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": "ANNA",
+    "1": "BIANCA",
+    "10": "MILA",
+    "11": "NATASHA",
+    "12": "TAILINE",
+    "2": "CAT",
+    "3": "ELLIE",
+    "4": "GABBY",
+    "5": "GENEVIVE",
+    "6": "JESSICA",
+    "7": "KIELE",
+    "8": "LISA",
+    "9": "MELANIE"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ANNA": "0",
+    "BIANCA": "1",
+    "CAT": "2",
+    "ELLIE": "3",
+    "GABBY": "4",
+    "GENEVIVE": "5",
+    "JESSICA": "6",
+    "KIELE": "7",
+    "LISA": "8",
+    "MELANIE": "9",
+    "MILA": "10",
+    "NATASHA": "11",
+    "TAILINE": "12"
+  },
+  "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": "4.34.0"
+}

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
+  }
+}

pytorch_model.bin

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+size 343302509

training_args.bin

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