Training in progress, epoch 1

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": "0-2",
+    "1": "3-9",
+    "2": "10-19",
+    "3": "20-29",
+    "4": "30-39",
+    "5": "40-49",
+    "6": "50-59",
+    "7": "60-69",
+    "8": "more than 70"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0-2": "0",
+    "10-19": "2",
+    "20-29": "3",
+    "3-9": "1",
+    "30-39": "4",
+    "40-49": "5",
+    "50-59": "6",
+    "60-69": "7",
+    "more than 70": "8"
+  },
+  "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": "4.35.0"
+}

model.safetensors

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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
+  }
+}

runs/Nov03_20-55-20_ee159d4dd62e/events.out.tfevents.1699045117.ee159d4dd62e.5505.0

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runs/Nov03_20-59-52_ee159d4dd62e/events.out.tfevents.1699045194.ee159d4dd62e.5505.1

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training_args.bin

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