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Commit From AutoTrain

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Files changed (5) hide show
  1. .gitattributes +3 -0
  2. README.md +32 -0
  3. config.json +50 -0
  4. preprocessor_config.json +23 -0
  5. pytorch_model.bin +3 -0
.gitattributes CHANGED
@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* 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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+ - Kluuking/autotrain-data-cat-vs-dog250_250
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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: 0.7636424791869872
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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: Binary Classification
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+ - Model ID: 3628796986
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+ - CO2 Emissions (in grams): 0.7636
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.053
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+ - Accuracy: 0.992
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+ - Precision: 0.984
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+ - Recall: 1.000
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+ - AUC: 0.993
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+ - F1: 0.992
config.json ADDED
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+ {
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+ "_name_or_path": "AutoTrain",
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+ "architectures": [
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+ "SwinForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "depths": [
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+ 2,
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+ 2,
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+ 6,
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+ 2
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+ ],
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+ "drop_path_rate": 0.1,
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+ "embed_dim": 96,
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+ "encoder_stride": 32,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Cat",
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+ "1": "Dog"
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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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+ "Cat": "0",
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+ "Dog": "1"
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_length": 128,
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+ "mlp_ratio": 4.0,
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+ "model_type": "swin",
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+ "num_channels": 3,
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+ "num_heads": [
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+ 3,
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+ 6,
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+ 12,
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+ 24
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+ ],
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+ "num_layers": 4,
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+ "padding": "max_length",
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+ "patch_size": 4,
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+ "path_norm": true,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.25.1",
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+ "use_absolute_embeddings": false,
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+ "window_size": 7
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+ }
preprocessor_config.json ADDED
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+ {
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+ "do_normalize": true,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "feature_extractor_type": "ViTFeatureExtractor",
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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": "ViTImageProcessor",
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+ "image_std": [
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+ 0.229,
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+ 0.224,
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+ 0.225
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+ ],
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+ "resample": 3,
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+ "rescale_factor": 0.00392156862745098,
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+ "size": {
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+ "height": 224,
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+ "width": 224
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+ }
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+ }
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