Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- molsen/autotrain-data-genderage
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+co2_eq_emissions:
+  emissions: 8.240977060159542
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 2709480568
+- CO2 Emissions (in grams): 8.2410
+
+## Validation Metrics
+
+- Loss: 1.277
+- Accuracy: 0.560
+- Macro F1: 0.560
+- Micro F1: 0.560
+- Weighted F1: 0.560
+- Macro Precision: 0.570
+- Micro Precision: 0.560
+- Weighted Precision: 0.570
+- Macro Recall: 0.560
+- Micro Recall: 0.560
+- Weighted Recall: 0.560

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "Female_0-19",
+    "1": "Female_20-29",
+    "2": "Female_30-39",
+    "3": "Female_40-69",
+    "4": "Female_70+",
+    "5": "Male_0-19",
+    "6": "Male_20-29",
+    "7": "Male_30-39",
+    "8": "Male_40-69",
+    "9": "Male_70+"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Female_0-19": "0",
+    "Female_20-29": "1",
+    "Female_30-39": "2",
+    "Female_40-69": "3",
+    "Female_70+": "4",
+    "Male_0-19": "5",
+    "Male_20-29": "6",
+    "Male_30-39": "7",
+    "Male_40-69": "8",
+    "Male_70+": "9"
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-06,
+  "max_length": 128,
+  "model_type": "convnext",
+  "num_channels": 3,
+  "num_stages": 4,
+  "padding": "max_length",
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1"
+}

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": "ConvNextImageProcessor",
+  "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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+version https://git-lfs.github.com/spec/v1
+oid sha256:ff7783285ff9a39ef25989e6e7defd37e6f897756816b62c6b70aa226f6dce4c
+size 1392792557