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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+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
+datasets:
+- tangfei/autotrain-data-autotrain-fo40u-s5iv3
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: nan
+
+f1_macro: 0.03333333333333333
+
+f1_micro: 0.1111111111111111
+
+f1_weighted: 0.02222222222222222
+
+precision_macro: 0.018518518518518517
+
+precision_micro: 0.1111111111111111
+
+precision_weighted: 0.012345679012345678
+
+recall_macro: 0.16666666666666666
+
+recall_micro: 0.1111111111111111
+
+recall_weighted: 0.1111111111111111
+
+accuracy: 0.1111111111111111

checkpoint-5/config.json

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+{
+  "_name_or_path": "google/vit-large-patch16-224",
+  "_num_labels": 6,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "a",
+    "1": "b",
+    "2": "c",
+    "3": "d",
+    "4": "e",
+    "5": "f"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
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+    "b": 1,
+    "c": 2,
+    "d": 3,
+    "e": 4,
+    "f": 5
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+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.1"
+}

checkpoint-5/model.safetensors

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checkpoint-5/trainer_state.json

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+  "global_step": 5,
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+  "is_world_process_zero": true,
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+      "step": 5
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config.json

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+  "_num_labels": 6,
+  "architectures": [
+    "ViTForImageClassification"
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+  "hidden_act": "gelu",
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+  "id2label": {
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+    "1": "b",
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+    "3": "d",
+    "4": "e",
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+  "problem_type": "single_label_classification",
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preprocessor_config.json

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+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+  "image_std": [
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training_args.bin

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training_params.json

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+    "username": "tangfei",
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+    "mixed_precision": "fp32",
+    "save_total_limit": 1,
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+    "push_to_hub": true,
+    "repo_id": "tangfei/autotrain-fo40u-s5iv3",
+    "evaluation_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "none"
+}