Training in progress, epoch 0

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "grade_1",
+    "1": "grade_2",
+    "2": "grade_3",
+    "3": "grade_4",
+    "4": "grade_5",
+    "5": "grade_6",
+    "6": "grade_7",
+    "7": "grade_8",
+    "8": "grade_9"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "grade_2": 1,
+    "grade_3": 2,
+    "grade_4": 3,
+    "grade_5": 4,
+    "grade_6": 5,
+    "grade_7": 6,
+    "grade_8": 7,
+    "grade_9": 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": "4.37.2"
+}

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": [
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+    0.5,
+    0.5
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+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Feb13_19-07-07_e2e-86-172/events.out.tfevents.1707831457.e2e-86-172.524489.9

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runs/Feb13_19-10-00_e2e-86-172/events.out.tfevents.1707831611.e2e-86-172.534282.0

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runs/Feb13_19-20-45_e2e-86-172/events.out.tfevents.1707832254.e2e-86-172.535626.0

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training_args.bin

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