End of training

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

config.json

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+{
+  "_name_or_path": "ALM-AHME/convnextv2-large-1k-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20",
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    192,
+    384,
+    768,
+    1536
+  ],
+  "id2label": {
+    "0": "akiec",
+    "1": "bcc",
+    "2": "bkl",
+    "3": "df",
+    "4": "mel",
+    "5": "nv",
+    "6": "vasc"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "akiec": 0,
+    "bcc": 1,
+    "bkl": 2,
+    "df": 3,
+    "mel": 4,
+    "nv": 5,
+    "vasc": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.2"
+}

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

pytorch_model.bin

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+size 785854781

training_args.bin

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