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README.md

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+
+---
+tags:
+- autotrain
+- transformers
+- image-classification
+base_model: google/vit-large-patch16-384
+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: 0.0007826363435015082
+
+f1_macro: 0.9998667225525736
+
+f1_micro: 0.9998677353649181
+
+f1_weighted: 0.9998677517242137
+
+precision_macro: 0.9998635579506288
+
+precision_micro: 0.9998677353649181
+
+precision_weighted: 0.999868129449558
+
+recall_macro: 0.9998702523325717
+
+recall_micro: 0.9998677353649181
+
+recall_weighted: 0.9998677353649181
+
+accuracy: 0.9998677353649181

config.json

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+{
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+  "_num_labels": 103,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.0"
+}

model.safetensors

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+size 1215231868

preprocessor_config.json

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+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
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+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "width": 384
+  }
+}

training_args.bin

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+size 5713

training_params.json

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+{
+    "data_path": "project-name/autotrain-data",
+    "model": "google/vit-large-patch16-384",
+    "username": null,
+    "lr": 0.00005,
+    "epochs": 3,
+    "batch_size": 8,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "train_split": "train",
+    "valid_split": "validation",
+    "logging_steps": -1,
+    "project_name": "project-name",
+    "auto_find_batch_size": false,
+    "mixed_precision": null,
+    "save_total_limit": 1,
+    "token": null,
+    "push_to_hub": false,
+    "eval_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "none",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}