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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+base_model: google/vit-base-patch16-224
+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
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metrics
+loss: 1.4069738388061523
+
+f1_macro: 0.0
+
+f1_micro: 0.0
+
+f1_weighted: 0.0
+
+precision_macro: 0.0
+
+precision_micro: 0.0
+
+precision_weighted: 0.0
+
+recall_macro: 0.0
+
+recall_micro: 0.0
+
+recall_weighted: 0.0
+
+accuracy: 0.0

checkpoint-2/config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "_num_labels": 4,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "0",
+    "1": "1",
+    "2": "2",
+    "3": "3"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0": 0,
+    "1": 1,
+    "2": 2,
+    "3": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.1"
+}

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checkpoint-2/trainer_state.json

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+  "best_model_checkpoint": "autotrain-g2g80-iwcfm/checkpoint-2",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 2,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+        "early_stopping_threshold": 0.01
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config.json

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+  "_name_or_path": "google/vit-base-patch16-224",
+  "_num_labels": 4,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
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+    "1": "1",
+    "2": "2",
+    "3": "3"
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+    "2": 2,
+    "3": 3
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+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.1"
+}

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preprocessor_config.json

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+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
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+  "rescale_factor": 0.00392156862745098,
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+    "width": 224
+  }
+}

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training_params.json

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+    "model": "google/vit-base-patch16-224",
+    "username": "palarisk",
+    "lr": 5e-05,
+    "epochs": 3,
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+    "scheduler": "linear",
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+    "seed": 42,
+    "train_split": "train",
+    "valid_split": "validation",
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+    "project_name": "autotrain-g2g80-iwcfm",
+    "auto_find_batch_size": false,
+    "mixed_precision": "none",
+    "save_total_limit": 1,
+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}