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README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+- image-classification
+- pytorch
+model-index:
+- name: gender-classification
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.970833
+---
+
+# gender-classification
+Evaluate set: 240 unseen images, from 27/05-29/05 from ShotX, no duplicate, clean, 120 male and 120 female. 
+Loss function is CrossEntropy.
+Model finetuning on 1827 images from 15/05-21/05 from ShotX, base on [rizvandwiki/gender-classification](https://huggingface.co/rizvandwiki/gender-classification).
+ . Using AdamW optimizer, weight_decay=0.05, CosineAnnealingLR scheduler, learning rate 5e-6, 20 epochs. 
+
+        accuracy    loss
+
+        0.970833    0.102212   
+
+
+## Example Images
+
+
+#### female
+
+![female](images/female.jpg)
+
+#### male
+
+![male](images/male.jpg)

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": "female",
+    "1": "male"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "female": "0",
+    "male": "1"
+  },
+  "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": "4.41.0"
+}

gitattributes

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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+images/male.jpg filter=lfs diff=lfs merge=lfs -text

model.safetensors

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+oid sha256:c6770eb87edee47c6bcbdd34bb7055d75c18cff6ef0401920b34b8b51fab59b5
+size 343223968

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}