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_877913e77fb94b7abd4dafc5ebf830b0
+co2_eq_emissions: 0.2438639401641305
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 7024732
+- CO2 Emissions (in grams): 0.2438639401641305
+
+## Validation Metrics
+
+- Loss: 0.16775867342948914
+- Accuracy: 0.9473333333333334
+- Macro F1: 0.9473921270228505
+- Micro F1: 0.9473333333333334
+- Weighted F1: 0.9473921270228505
+- Macro Precision: 0.9478705813419325
+- Micro Precision: 0.9473333333333334
+- Weighted Precision: 0.9478705813419323
+- Macro Recall: 0.9473333333333332
+- Micro Recall: 0.9473333333333334
+- Weighted Recall: 0.9473333333333334

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "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,
+  "intermediate_size": 3072,
+  "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-12,
+  "max_length": 128,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "padding": "max_length",
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.0"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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