Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "facebook/regnet-y-064",
+  "architectures": [
+    "RegNetForImageClassification"
+  ],
+  "depths": [
+    2,
+    7,
+    14,
+    2
+  ],
+  "downsample_in_first_stage": true,
+  "embedding_size": 32,
+  "groups_width": 72,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    144,
+    288,
+    576,
+    1296
+  ],
+  "id2label": {
+    "0": "glioma_tumor",
+    "1": "meningioma_tumor",
+    "2": "no_tumor",
+    "3": "pituitary_tumor"
+  },
+  "label2id": {
+    "glioma_tumor": "0",
+    "meningioma_tumor": "1",
+    "no_tumor": "2",
+    "pituitary_tumor": "3"
+  },
+  "layer_type": "y",
+  "model_type": "regnet",
+  "num_channels": 3,
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextFeatureExtractor",
+  "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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training_args.bin

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