Commit From AutoTrain

.gitattributes

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 *.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

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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:
+- romitbarua/autotrain-data-deepfakeface
+co2_eq_emissions:
+  emissions: 32.13916208855794
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+- CO2 Emissions (in grams): 32.1392
+
+## Validation Metricsg
+loss: 0.23420386016368866
+
+f1_macro: 0.9410988547155245
+
+f1_micro: 0.941
+
+f1_weighted: 0.9410988547155245
+
+precision_macro: 0.9415975677612235
+
+precision_micro: 0.941
+
+precision_weighted: 0.9415975677612235
+
+recall_macro: 0.941
+
+recall_micro: 0.941
+
+recall_weighted: 0.941
+
+accuracy: 0.941

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "_num_labels": 4,
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 96,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "inpainting",
+    "1": "insight",
+    "2": "text2img",
+    "3": "wiki"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "inpainting": "0",
+    "insight": "1",
+    "text2img": "2",
+    "wiki": "3"
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

model.safetensors

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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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