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-class
+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: 1.3038362907488008
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 43934111254
+- CO2 Emissions (in grams): 1.3038
+
+## Validation Metrics
+
+- Loss: 1.314
+- Accuracy: 0.537
+- Macro F1: 0.462
+- Micro F1: 0.537
+- Weighted F1: 0.515
+- Macro Precision: 0.461
+- Micro Precision: 0.537
+- Weighted Precision: 0.524
+- Macro Recall: 0.492
+- Micro Recall: 0.537
+- Weighted Recall: 0.537

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": "Burls \u7bc0\u7624",
+    "1": "Canker \u6f70\u760d",
+    "10": "Fungal fruiting bodies \u771f\u83cc\u5b50\u5be6\u9ad4",
+    "11": "Galls \u816b\u7624 ",
+    "12": "Girdling root \u7e8f\u7e5e\u6839 ",
+    "13": "Heavy lateral limb \u91cd\u5074\u679d",
+    "14": "Included bark \u5167\u593e\u6a39\u76ae",
+    "15": "Parasitic or epiphytic plants \u5bc4\u751f\u6216\u9644\u751f\u690d\u7269",
+    "16": "Pest and disease \u75c5\u87f2\u5bb3",
+    "17": "Poor taper \u4e0d\u826f\u6f38\u5c16\u751f\u9577",
+    "18": "Root-plate movement \u6839\u57fa\u79fb\u4f4d ",
+    "19": "Sap flow \u6ef2\u6db2",
+    "2": "Co-dominant branches \u7b49\u52e2\u679d",
+    "20": "Trunk girdling \u7e8f\u7e5e\u6a39\u5e79 ",
+    "21": "Wounds or mechanical injury \u50b7\u75d5\u6216\u6a5f\u68b0\u7834\u640d",
+    "3": "Co-dominant stems \u7b49\u52e2\u5e79",
+    "4": "Cracks or splits \u88c2\u7e2b\u6216\u88c2\u958b",
+    "5": "Crooks or abrupt bends \u4e0d\u5e38\u898f\u5f4e\u66f2",
+    "6": "Cross branches \u758a\u679d",
+    "7": "Dead surface roots \u8868\u6839\u67af\u840e ",
+    "8": "Deadwood \u67af\u6728",
+    "9": "Decay or cavity \u8150\u721b\u6216\u6a39\u6d1e"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Burls \u7bc0\u7624": "0",
+    "Canker \u6f70\u760d": "1",
+    "Co-dominant branches \u7b49\u52e2\u679d": "2",
+    "Co-dominant stems \u7b49\u52e2\u5e79": "3",
+    "Cracks or splits \u88c2\u7e2b\u6216\u88c2\u958b": "4",
+    "Crooks or abrupt bends \u4e0d\u5e38\u898f\u5f4e\u66f2": "5",
+    "Cross branches \u758a\u679d": "6",
+    "Dead surface roots \u8868\u6839\u67af\u840e ": "7",
+    "Deadwood \u67af\u6728": "8",
+    "Decay or cavity \u8150\u721b\u6216\u6a39\u6d1e": "9",
+    "Fungal fruiting bodies \u771f\u83cc\u5b50\u5be6\u9ad4": "10",
+    "Galls \u816b\u7624 ": "11",
+    "Girdling root \u7e8f\u7e5e\u6839 ": "12",
+    "Heavy lateral limb \u91cd\u5074\u679d": "13",
+    "Included bark \u5167\u593e\u6a39\u76ae": "14",
+    "Parasitic or epiphytic plants \u5bc4\u751f\u6216\u9644\u751f\u690d\u7269": "15",
+    "Pest and disease \u75c5\u87f2\u5bb3": "16",
+    "Poor taper \u4e0d\u826f\u6f38\u5c16\u751f\u9577": "17",
+    "Root-plate movement \u6839\u57fa\u79fb\u4f4d ": "18",
+    "Sap flow \u6ef2\u6db2": "19",
+    "Trunk girdling \u7e8f\u7e5e\u6a39\u5e79 ": "20",
+    "Wounds or mechanical injury \u50b7\u75d5\u6216\u6a5f\u68b0\u7834\u640d": "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 sha256:70c53668fec11d7a8321ec3542e0268809dca54a12ca7f904af5dc00ac69c268
+size 347681745