Training in progress, epoch 1

.gitignore

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+checkpoint-*/

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": "A",
+    "1": "B",
+    "10": "M",
+    "11": "N",
+    "12": "O",
+    "13": "P",
+    "14": "Q",
+    "15": "R",
+    "16": "S",
+    "17": "T",
+    "18": "U",
+    "19": "V",
+    "2": "C",
+    "20": "W",
+    "21": "X",
+    "22": "Y",
+    "23": "Z",
+    "3": "D",
+    "4": "E",
+    "5": "F",
+    "6": "G",
+    "7": "I",
+    "8": "K",
+    "9": "L"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "A": "0",
+    "B": "1",
+    "C": "2",
+    "D": "3",
+    "E": "4",
+    "F": "5",
+    "G": "6",
+    "I": "7",
+    "K": "8",
+    "L": "9",
+    "M": "10",
+    "N": "11",
+    "O": "12",
+    "P": "13",
+    "Q": "14",
+    "R": "15",
+    "S": "16",
+    "T": "17",
+    "U": "18",
+    "V": "19",
+    "W": "20",
+    "X": "21",
+    "Y": "22",
+    "Z": "23"
+  },
+  "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": "4.28.1"
+}

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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training_args.bin

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