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autotrain-software_picture_preselection_classifier-2804582686

Image Classification
Transformers
PyTorch
convnext
Trained with AutoTrain
vision
Carbon Emissions
Inference Endpoints
Model card Files Community
2
system HF staff commited on
Commit
7627118
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1 Parent(s): 058d57f

Commit From AutoTrain

Browse files
Files changed (5) hide show
  1. .gitattributes +3 -0
  2. README.md +37 -0
  3. config.json +43 -0
  4. preprocessor_config.json +23 -0
  5. pytorch_model.bin +3 -0
.gitattributes CHANGED
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - vision
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+ - image-classification
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+ datasets:
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+ - BIDEQUITY/autotrain-data-software_picture_preselection_classifier
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+ widget:
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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+ example_title: Tiger
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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+ example_title: Teapot
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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+ example_title: Palace
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+ co2_eq_emissions:
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+ emissions: 2.0734204068239874
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Multi-class Classification
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+ - Model ID: 2804582686
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+ - CO2 Emissions (in grams): 2.0734
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.209
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+ - Accuracy: 0.973
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+ - Macro F1: 0.980
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+ - Micro F1: 0.973
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+ - Weighted F1: 0.973
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+ - Macro Precision: 0.980
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+ - Micro Precision: 0.973
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+ - Weighted Precision: 0.973
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+ - Macro Recall: 0.980
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+ - Micro Recall: 0.973
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+ - Weighted Recall: 0.973
config.json ADDED
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+ {
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+ "_name_or_path": "AutoTrain",
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+ "architectures": [
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+ "ConvNextForImageClassification"
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+ ],
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+ "depths": [
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+ 3,
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+ 3,
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+ 9,
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+ 3
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+ ],
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+ "drop_path_rate": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_sizes": [
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+ 96,
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+ 192,
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+ 384,
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+ 768
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+ ],
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+ "id2label": {
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+ "0": "group",
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+ "1": "portrait",
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+ "2": "stock"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "group": "0",
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+ "portrait": "1",
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+ "stock": "2"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "layer_scale_init_value": 1e-06,
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+ "max_length": 128,
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+ "model_type": "convnext",
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+ "num_channels": 3,
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+ "num_stages": 4,
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+ "padding": "max_length",
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+ "patch_size": 4,
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.25.1"
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+ }
preprocessor_config.json ADDED
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "feature_extractor_type": "ConvNextFeatureExtractor",
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+ "image_mean": [
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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "image_processor_type": "ConvNextImageProcessor",
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+ "image_std": [
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+ }
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