Training in progress, epoch 0

config.json

@@ -0,0 +1,119 @@
+{
+  "_name_or_path": "google/efficientnet-b0",
+  "architectures": [
+    "EfficientNetForImageClassification"
+  ],
+  "batch_norm_eps": 0.001,
+  "batch_norm_momentum": 0.99,
+  "depth_coefficient": 1.0,
+  "depth_divisor": 8,
+  "depthwise_padding": [],
+  "drop_connect_rate": 0.2,
+  "dropout_rate": 0.2,
+  "expand_ratios": [
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+    6,
+    6,
+    6,
+    6,
+    6
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+  "hidden_act": "swish",
+  "hidden_dim": 1280,
+  "id2label": {
+    "0": "Erythrodermic",
+    "1": "Guttate",
+    "2": "Inverse",
+    "3": "Nail",
+    "4": "Normal",
+    "5": "Not Define",
+    "6": "Palm Soles",
+    "7": "Plaque",
+    "8": "Psoriatic Arthritis",
+    "9": "Pustular",
+    "10": "Scalp",
+    "11": "UPNormal"
+  },
+  "image_size": 224,
+  "in_channels": [
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+    16,
+    24,
+    40,
+    80,
+    112,
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+    3
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+    "Guttate": 1,
+    "Inverse": 2,
+    "Nail": 3,
+    "Normal": 4,
+    "Not Define": 5,
+    "Palm Soles": 6,
+    "Plaque": 7,
+    "Psoriatic Arthritis": 8,
+    "Pustular": 9,
+    "Scalp": 10,
+    "UPNormal": 11
+  },
+  "model_type": "efficientnet",
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+  "out_features": null,
+  "pooling_type": "mean",
+  "problem_type": "single_label_classification",
+  "squeeze_expansion_ratio": 0.25,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7"
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+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "width_coefficient": 1.0
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "rescale_offset",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "include_top",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 289,
+    "width": 289
+  },
+  "do_center_crop": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+    0.456,
+    0.406
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+  "image_processor_type": "EfficientNetImageProcessor",
+  "image_std": [
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+  "include_top": true,
+  "resample": 0,
+  "rescale_factor": 0.00392156862745098,
+  "rescale_offset": false,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/May18_14-29-20_403b828decdc/events.out.tfevents.1716042617.403b828decdc.35.0

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training_args.bin

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