Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.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

@@ -0,0 +1,37 @@
+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- ivensamdh/autotrain-data-convnext_test_masterage
+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: 2.59724118879757
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 2947785378
+- CO2 Emissions (in grams): 2.5972
+
+## Validation Metrics
+
+- Loss: 1.470
+- Accuracy: 0.408
+- Macro F1: 0.261
+- Micro F1: 0.408
+- Weighted F1: 0.392
+- Macro Precision: 0.285
+- Micro Precision: 0.408
+- Weighted Precision: 0.421
+- Macro Recall: 0.266
+- Micro Recall: 0.408
+- Weighted Recall: 0.408

config.json

@@ -0,0 +1,53 @@
+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    128,
+    256,
+    512,
+    1024
+  ],
+  "id2label": {
+    "0": "Age0to5",
+    "1": "Age11to15",
+    "2": "Age16to25",
+    "3": "Age26to35",
+    "4": "Age36to49",
+    "5": "Age50to69",
+    "6": "Age6to10",
+    "7": "Age70to99"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Age0to5": "0",
+    "Age11to15": "1",
+    "Age16to25": "2",
+    "Age26to35": "3",
+    "Age36to49": "4",
+    "Age50to69": "5",
+    "Age6to10": "6",
+    "Age70to99": "7"
+  },
+  "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

@@ -0,0 +1,23 @@
+{
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05e6ddb9f3b3e2d6ccf5c9fd97873847b387d7056b55a43970592ce45776289e
+size 350417325