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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+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
+datasets:
+- xxhwjzx/autotrain-data-yanzheng
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: nan
+
+f1_macro: 0.19999999999999998
+
+f1_micro: 0.42857142857142855
+
+f1_weighted: 0.2571428571428571
+
+precision_macro: 0.14285714285714285
+
+precision_micro: 0.42857142857142855
+
+precision_weighted: 0.18367346938775508
+
+recall_macro: 0.3333333333333333
+
+recall_micro: 0.42857142857142855
+
+recall_weighted: 0.42857142857142855
+
+accuracy: 0.42857142857142855

checkpoint-28/config.json

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+  "_num_labels": 3,
+  "architectures": [
+    "ResNetForImageClassification"
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+    "1": "NG",
+    "2": "OK"
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+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
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+  ],
+  "out_indices": [
+    4
+  ],
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.1"
+}

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config.json

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+    "ResNetForImageClassification"
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preprocessor_config.json

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training_params.json

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+}