Training in progress, epoch 0

config.json

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+{
+  "_name_or_path": "google/vit-large-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LGLO",
+    "1": "MGLO",
+    "2": "HGLO",
+    "3": "UGLO",
+    "4": "MGSO",
+    "5": "LGSO",
+    "6": "HGSO",
+    "7": "MWS",
+    "8": "MWL"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "HGLO": 2,
+    "HGSO": 6,
+    "LGLO": 0,
+    "LGSO": 5,
+    "MGLO": 1,
+    "MGSO": 4,
+    "MWL": 8,
+    "MWS": 7,
+    "UGLO": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2"
+}

logs/events.out.tfevents.1731785374.AZHAR-PC.2192316.0

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

training_args.bin

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