Training in progress, epoch 0

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "google/efficientnet-b7",
+  "architectures": [
+    "EfficientNetForImageClassification"
+  ],
+  "batch_norm_eps": 0.001,
+  "batch_norm_momentum": 0.99,
+  "depth_coefficient": 3.1,
+  "depth_divisor": 8,
+  "depthwise_padding": [
+    18
+  ],
+  "drop_connect_rate": 0.2,
+  "dropout_rate": 0.5,
+  "expand_ratios": [
+    1,
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "hidden_act": "swish",
+  "hidden_dim": 2560,
+  "id2label": {
+    "0": "Actinic keratosis",
+    "1": "Benign keratosis",
+    "2": "Dermatofibroma",
+    "3": "Melanocytic nevus",
+    "4": "Vascular lesion"
+  },
+  "image_size": 600,
+  "in_channels": [
+    32,
+    16,
+    24,
+    40,
+    80,
+    112,
+    192
+  ],
+  "initializer_range": 0.02,
+  "kernel_sizes": [
+    3,
+    3,
+    5,
+    3,
+    5,
+    5,
+    3
+  ],
+  "label2id": {
+    "Actinic keratosis": 0,
+    "Benign keratosis": 1,
+    "Dermatofibroma": 2,
+    "Melanocytic nevus": 3,
+    "Vascular lesion": 4
+  },
+  "model_type": "efficientnet",
+  "num_block_repeats": [
+    1,
+    2,
+    2,
+    3,
+    3,
+    4,
+    1
+  ],
+  "num_channels": 3,
+  "num_hidden_layers": 64,
+  "out_channels": [
+    16,
+    24,
+    40,
+    80,
+    112,
+    192,
+    320
+  ],
+  "pooling_type": "mean",
+  "problem_type": "single_label_classification",
+  "squeeze_expansion_ratio": 0.25,
+  "strides": [
+    1,
+    2,
+    2,
+    2,
+    1,
+    2,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0",
+  "width_coefficient": 2.0
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 289,
+    "width": 289
+  },
+  "do_center_crop": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "EfficientNetImageProcessor",
+  "image_std": [
+    0.47853944,
+    0.4732864,
+    0.47434163
+  ],
+  "include_top": true,
+  "resample": 0,
+  "rescale_factor": 0.00392156862745098,
+  "rescale_offset": false,
+  "size": {
+    "height": 600,
+    "width": 600
+  }
+}

pytorch_model.bin

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training_args.bin

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