Training in progress, epoch 0

.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": "4.27.4"
+}

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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