commit files to HF hub

README.md

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+---
+tags:
+- image-classification
+- pytorch
+metrics:
+- accuracy
+- Cohen's Kappa
+
+model-index:
+- name: PANDA_ViT
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.47959184646606445
+      - name: Quadratic Cohen's Kappa
+        type:  Quadratic Cohen's Kappa
+        value: 0.5590880513191223
+---
+
+# PANDA_ViT
+
+An attempt to use a ViT for medical image classification (ISUP grading in prostate histopathology images). Currently uses a tiled and concatenated WSI as input

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Beningn",
+    "1": "ISUP 1",
+    "2": "ISUP 2",
+    "3": "ISUP 3",
+    "4": "ISUP 4",
+    "5": "ISUP 5"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Beningn": "0",
+    "ISUP 1": "1",
+    "ISUP 2": "2",
+    "ISUP 3": "3",
+    "ISUP 4": "4",
+    "ISUP 5": "5"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "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": "4.19.2"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a0dd6a5e7cb836b59019353dddd9573adefb5f390294578c3867c9630e192268
+size 343276465