commit files to HF hub

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+images/image1.jpg filter=lfs diff=lfs merge=lfs -text
+images/image2.jpg filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: dog-food-convnext-tiny-224
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 1.0
+---
+
+# dog-food-convnext-tiny-224
+
+
+This model was trained on the `train` split of the [Dogs vs Food](https://huggingface.co/datasets/sasha/dog-food) dataset -- try training your own using the 
+[the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb)!
+
+
+
+
+## Example Images
+
+
+#### dog
+
+![dog](images/dog)
+
+#### food
+
+![food](images/dog)

config.json

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+{
+  "_name_or_path": "facebook/convnext-tiny-224",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    9,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    96,
+    192,
+    384,
+    768
+  ],
+  "id2label": {
+    "0": "dog",
+    "1": "food"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "dog": "0",
+    "food": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-06,
+  "model_type": "convnext",
+  "num_channels": 3,
+  "num_stages": 4,
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.0"
+}

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "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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+size 111344789

runs/events.out.tfevents.1655820660.ef9c7542e16c.73.7

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