commit files to HF hub

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: swin-age-classifier
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.8100000023841858
+---
+
+# swin-age-classifier
+
+
+Trained on 40 epochs - 
+
+Data from: Ai Crowd - Blitz 
+ai-blitz-xiii - Age Prediction
+https://www.aicrowd.com/challenges/ai-blitz-xiii/problems/age-prediction/
+
+
+Autogenerated by HuggingPics🤗🖼️
+
+Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
+
+Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).

config.json

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+{
+  "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 96,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "id2label": {
+    "0": "0-10",
+    "1": "10-20",
+    "2": "20-30",
+    "3": "30-40",
+    "4": "40-50",
+    "5": "50-60",
+    "6": "60-70",
+    "7": "70-80",
+    "8": "80-90",
+    "9": "90-100"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "0-10": "0",
+    "10-20": "1",
+    "20-30": "2",
+    "30-40": "3",
+    "40-50": "4",
+    "50-60": "5",
+    "60-70": "6",
+    "70-80": "7",
+    "80-90": "8",
+    "90-100": "9"
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.16.2",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "size": 224
+}

pytorch_model.bin

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+oid sha256:20fa2372c6ab9518837baaf6bd7edc31bda187374394850c796a3614396b9a15
+size 110430767

runs/events.out.tfevents.1644606579.2b2f86c103d6.5209.1

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+size 43191