Training in progress, epoch 0

config.json

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+{
+  "_name_or_path": "microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft",
+  "architectures": [
+    "Swinv2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "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": 256,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Erythrodermic": 0,
+    "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
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swinv2",
+  "num_channels": 3,
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
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+  "patch_size": 4,
+  "path_norm": true,
+  "pretrained_window_sizes": [
+    12,
+    12,
+    12,
+    6
+  ],
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "use_absolute_embeddings": false,
+  "window_size": 16
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 256,
+    "width": 256
+  }
+}

runs/May16_13-39-18_65624f02afe8/events.out.tfevents.1715866762.65624f02afe8.34.0

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runs/May16_13-50-44_65624f02afe8/events.out.tfevents.1715867447.65624f02afe8.34.1

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training_args.bin

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