Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.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

@@ -0,0 +1,37 @@
+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- OttoYu/autotrain-data-tree-disease
+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
+co2_eq_emissions:
+  emissions: 0.9533671404013373
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 43309110181
+- CO2 Emissions (in grams): 0.9534
+
+## Validation Metrics
+
+- Loss: 1.558
+- Accuracy: 0.564
+- Macro F1: 0.488
+- Micro F1: 0.564
+- Weighted F1: 0.516
+- Macro Precision: 0.503
+- Micro Precision: 0.564
+- Weighted Precision: 0.542
+- Macro Recall: 0.545
+- Micro Recall: 0.564
+- Weighted Recall: 0.564

config.json

@@ -0,0 +1,90 @@
+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Agrilus planipennis \u6241\u8c46",
+    "1": "Annosum Root Rot \u756a\u8354\u679d\u6839\u8150\u75c5",
+    "10": "Leaf Blister \u8449\u6ce1",
+    "11": "Leaf Spots \u8449\u6591",
+    "12": "Littleleaf Disease \u5c0f\u8449\u75c5",
+    "13": "Loblolly Pine Decline \u706b\u70ac\u677e\u8870\u843d",
+    "14": "Needle Blights \u91dd\u8449\u67af\u75c5",
+    "15": "Needle Rusts \u91dd\u8449\u92b9\u75c5",
+    "16": "Powdery Mildew \u767d\u7c89\u75c5",
+    "17": "Root rots \u6839\u8150\u75c5",
+    "18": "Rots and Decays \u8150\u721b",
+    "19": "Stem decays \u8396\u8150\u721b",
+    "2": "Anthracnose \u70ad\u75bd\u75c5",
+    "20": "Tar Spot \u7126\u6cb9\u6591",
+    "21": "Wilts \u67af\u840e\u75c5",
+    "3": "Black knot (lethal disease) \u9ed1\u7d50\uff08\u81f4\u547d\u75be\u75c5\uff09",
+    "4": "Dendroctonus micans \u96f2\u6749",
+    "5": "Dieback \u67af\u6b7b",
+    "6": "Diffuse cankers\u00a0\u7030\u6f2b\u6027\u6f70\u760d",
+    "7": "Fusiform rust \u68ad\u5f62\u92b9\u75c5",
+    "8": "Hardwood Leaf Diseases\u786c\u6728\u8449\u75c5",
+    "9": "Hymenoscyphus fraxineus \u767d\u881f\u87ec"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Agrilus planipennis \u6241\u8c46": "0",
+    "Annosum Root Rot \u756a\u8354\u679d\u6839\u8150\u75c5": "1",
+    "Anthracnose \u70ad\u75bd\u75c5": "2",
+    "Black knot (lethal disease) \u9ed1\u7d50\uff08\u81f4\u547d\u75be\u75c5\uff09": "3",
+    "Dendroctonus micans \u96f2\u6749": "4",
+    "Dieback \u67af\u6b7b": "5",
+    "Diffuse cankers\u00a0\u7030\u6f2b\u6027\u6f70\u760d": "6",
+    "Fusiform rust \u68ad\u5f62\u92b9\u75c5": "7",
+    "Hardwood Leaf Diseases\u786c\u6728\u8449\u75c5": "8",
+    "Hymenoscyphus fraxineus \u767d\u881f\u87ec": "9",
+    "Leaf Blister \u8449\u6ce1": "10",
+    "Leaf Spots \u8449\u6591": "11",
+    "Littleleaf Disease \u5c0f\u8449\u75c5": "12",
+    "Loblolly Pine Decline \u706b\u70ac\u677e\u8870\u843d": "13",
+    "Needle Blights \u91dd\u8449\u67af\u75c5": "14",
+    "Needle Rusts \u91dd\u8449\u92b9\u75c5": "15",
+    "Powdery Mildew \u767d\u7c89\u75c5": "16",
+    "Root rots \u6839\u8150\u75c5": "17",
+    "Rots and Decays \u8150\u721b": "18",
+    "Stem decays \u8396\u8150\u721b": "19",
+    "Tar Spot \u7126\u6cb9\u6591": "20",
+    "Wilts \u67af\u840e\u75c5": "21"
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 128,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "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": "4.25.1",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

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": "ViTImageProcessor",
+  "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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+version https://git-lfs.github.com/spec/v1
+oid sha256:92eaeff6fa3efb84d8dbf01ba1a3c133da24f9da998f1b33583bcfd5c410646b
+size 347681745