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

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+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- nicolasvillamilsanchez/autotrain-data-igeous
+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: 0.008659526025900772
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 52117122942
+- CO2 Emissions (in grams): 0.0087
+
+## Validation Metrics
+
+- Loss: 0.310
+- Accuracy: 0.889
+- Macro F1: 0.883
+- Micro F1: 0.889
+- Weighted F1: 0.887
+- Macro Precision: 0.899
+- Micro Precision: 0.889
+- Weighted Precision: 0.903
+- Macro Recall: 0.885
+- Micro Recall: 0.889
+- Weighted Recall: 0.889

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "BeitForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "HORNBLENDE OLIVINE BEARING PIROXENE",
+    "1": "Serpentinized Lherzolite",
+    "10": "jotunite",
+    "11": "lujavrite",
+    "12": "luxulianite",
+    "13": "nepheline pegmatite",
+    "14": "nepheline syenite",
+    "15": "norite",
+    "16": "olivine gabbro",
+    "17": "olivine hornblendite",
+    "18": "ortopiroxenite",
+    "19": "pulaskite",
+    "2": "allanite",
+    "20": "quartz gabbro",
+    "21": "sienite",
+    "22": "sienite sodalite",
+    "23": "sienogranito",
+    "3": "antipertite",
+    "4": "calcite",
+    "5": "cancrinite pegmatite",
+    "6": "cumberlandite",
+    "7": "granite peralkaline",
+    "8": "granitic pegmatite",
+    "9": "hornblende -olivine bearing piroxenite"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "HORNBLENDE OLIVINE BEARING PIROXENE": "0",
+    "Serpentinized Lherzolite": "1",
+    "allanite": "2",
+    "antipertite": "3",
+    "calcite": "4",
+    "cancrinite pegmatite": "5",
+    "cumberlandite": "6",
+    "granite peralkaline": "7",
+    "granitic pegmatite": "8",
+    "hornblende -olivine bearing piroxenite": "9",
+    "jotunite": "10",
+    "lujavrite": "11",
+    "luxulianite": "12",
+    "nepheline pegmatite": "13",
+    "nepheline syenite": "14",
+    "norite": "15",
+    "olivine gabbro": "16",
+    "olivine hornblendite": "17",
+    "ortopiroxenite": "18",
+    "pulaskite": "19",
+    "quartz gabbro": "20",
+    "sienite": "21",
+    "sienite sodalite": "22",
+    "sienogranito": "23"
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "max_length": 128,
+  "model_type": "beit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_indices": [
+    3,
+    5,
+    7,
+    11
+  ],
+  "padding": "max_length",
+  "patch_size": 16,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "use_absolute_position_embeddings": false,
+  "use_auxiliary_head": true,
+  "use_mask_token": false,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": true,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": 8192
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": false,
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "BeitFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "BeitImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+size 346928057