Commit From AutoTrain

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard 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
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags: autotrain
+datasets:
+- abhishek/autotrain-data-vision_528a5bd60a4b4b1080538a6ede3f23c7
+co2_eq_emissions: 8.217704896005591
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 260265
+- CO2 Emissions (in grams): 8.217704896005591
+
+## Validation Metrics
+
+- Loss: 0.24580252170562744
+- Accuracy: 0.914
+- Macro F1: 0.912823674084623
+- Micro F1: 0.914
+- Weighted F1: 0.9128236740846232
+- Macro Precision: 0.9135654150297885
+- Micro Precision: 0.914
+- Weighted Precision: 0.9135654150297884
+- Macro Recall: 0.9139999999999999
+- Micro Recall: 0.914
+- Weighted Recall: 0.914

config.json

@@ -0,0 +1,66 @@
+{
+  "_name_or_path": "AutoTrain",
+  "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": "Ankle boot",
+    "1": "Bag",
+    "2": "Coat",
+    "3": "Dress",
+    "4": "Pullover",
+    "5": "Sandal",
+    "6": "Shirt",
+    "7": "Sneaker",
+    "8": "T - shirt / top",
+    "9": "Trouser"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Ankle boot": "0",
+    "Bag": "1",
+    "Coat": "2",
+    "Dress": "3",
+    "Pullover": "4",
+    "Sandal": "5",
+    "Shirt": "6",
+    "Sneaker": "7",
+    "T - shirt / top": "8",
+    "Trouser": "9"
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 128,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "num_layers": 4,
+  "padding": "max_length",
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.0",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

preprocessor_config.json

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

pytorch_model.bin

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+oid sha256:6c50b330dd0fa88539fc64d45930e38c52fb1180837ba7bf561674d17c6f62e9
+size 110417455