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README.md ADDED
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+
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+ ---
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+ tags:
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+ - autotrain
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+ - transformers
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+ - image-classification
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+ base_model: google/vit-base-patch16-224
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+ widget:
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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+ example_title: Tiger
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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+ example_title: Teapot
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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+ example_title: Palace
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+ datasets:
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+ - Asseh/Vehicle_Classification
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Image Classification
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+
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+ ## Validation Metrics
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+ No validation metrics available
config.json ADDED
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+ {
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+ "_name_or_path": "google/vit-base-patch16-224",
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+ "_num_labels": 4,
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "encoder_stride": 16,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Bus",
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+ "1": "Car",
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+ "2": "Truck",
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+ "3": "motorcycle"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "Bus": 0,
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+ "Car": 1,
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+ "Truck": 2,
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+ "motorcycle": 3
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.48.0"
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+ }
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+ "image_mean": [
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+ "image_processor_type": "ViTImageProcessor",
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+ "width": 224
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+ {
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+ "data_path": "Asseh/Vehicle_Classification",
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+ "model": "google/vit-base-patch16-224",
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+ "username": "Sioood",
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+ "lr": 5e-05,
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+ "epochs": 3,
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+ "batch_size": 8,
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+ "warmup_ratio": 0.1,
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+ "gradient_accumulation": 1,
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+ "optimizer": "adamw_torch",
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+ "seed": 42,
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+ "train_split": "train",
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+ "logging_steps": -1,
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+ "project_name": "autotrain-vehicle-classification-test",
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+ "auto_find_batch_size": false,
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+ "mixed_precision": "fp16",
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+ "save_total_limit": 1,
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+ "push_to_hub": true,
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+ "eval_strategy": "epoch",
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+ "image_column": "image",
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+ "target_column": "label",
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+ "log": "tensorboard",
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+ "early_stopping_patience": 5,
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+ "early_stopping_threshold": 0.01
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+ }