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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:
+- chanhua/autotrain-data-autotrain-wo576-85kuw
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: 1.0984116792678833
+
+f1_macro: 0.16666666666666666
+
+f1_micro: 0.3333333333333333
+
+f1_weighted: 0.16666666666666666
+
+precision_macro: 0.1111111111111111
+
+precision_micro: 0.3333333333333333
+
+precision_weighted: 0.1111111111111111
+
+recall_macro: 0.3333333333333333
+
+recall_micro: 0.3333333333333333
+
+recall_weighted: 0.3333333333333333
+
+accuracy: 0.3333333333333333

checkpoint-6/config.json

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+{
+ "_name_or_path": "microsoft/resnet-50",
+ "_num_labels": 3,
+ "architectures": [
+ "ResNetForImageClassification"
+ ],
+ "depths": [
+ 3,
+ 4,
+ 6,
+ 3
+ ],
+ "downsample_in_bottleneck": false,
+ "downsample_in_first_stage": false,
+ "embedding_size": 64,
+ "hidden_act": "relu",
+ "hidden_sizes": [
+ 256,
+ 512,
+ 1024,
+ 2048
+ ],
+ "id2label": {
+ "0": "11covered_with_a_quilt_and_only_the_head_exposed",
+ "1": "12covered_with_a_quilt_and_exposed_other_parts_of_the_body",
+ "2": "13has_nothing_to_do_with_11_and_12_above"
+ },
+ "label2id": {
+ "11covered_with_a_quilt_and_only_the_head_exposed": 0,
+ "12covered_with_a_quilt_and_exposed_other_parts_of_the_body": 1,
+ "13has_nothing_to_do_with_11_and_12_above": 2
+ },
+ "layer_type": "bottleneck",
+ "model_type": "resnet",
+ "num_channels": 3,
+ "out_features": [
+ "stage4"
+ ],
+ "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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checkpoint-6/trainer_state.json

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config.json

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preprocessor_config.json

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+ "do_rescale": true,
+ "do_resize": true,
+ "image_mean": [
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training_params.json

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+ "model": "microsoft/resnet-50",
+ "username": "chanhua",
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+ "repo_id": "chanhua/autotrain-wo576-85kuw",
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+ "image_column": "autotrain_image",
+ "target_column": "autotrain_label",
+ "log": "none"
+}