Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "facebook/deit-base-distilled-patch16-224",
+  "architectures": [
+    "DeiTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "glioma_tumor",
+    "1": "meningioma_tumor",
+    "2": "no_tumor",
+    "3": "pituitary_tumor"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "glioma_tumor": "0",
+    "meningioma_tumor": "1",
+    "no_tumor": "2",
+    "pituitary_tumor": "3"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "deit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1"
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "DeiTFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DeiTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 256,
+    "width": 256
+  }
+}

pytorch_model.bin

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runs/Jun09_22-36-32_Brians-Mac-mini/1686368198.001021/events.out.tfevents.1686368198.Brians-Mac-mini.40839.1

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runs/Jun09_22-36-32_Brians-Mac-mini/events.out.tfevents.1686368197.Brians-Mac-mini.40839.0

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training_args.bin

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