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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:
+- lxl2023/autotrain-data-autotrain-3xy9g-unefm1
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: nan
+
+f1_macro: 0.13333333333333333
+
+f1_micro: 0.25
+
+f1_weighted: 0.1
+
+precision_macro: 0.08333333333333333
+
+precision_micro: 0.25
+
+precision_weighted: 0.0625
+
+recall_macro: 0.3333333333333333
+
+recall_micro: 0.25
+
+recall_weighted: 0.25
+
+accuracy: 0.25

checkpoint-2/config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "_num_labels": 3,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "11covered_with_a_quilt_and_only_the_head_exposed",
+    "1": "12covered_with_a_quilt_and_exposed_other_parts_of_the_body",
+    "2": "13has_nothing_to_do_with_11_and_12_above"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "11covered_with_a_quilt_and_only_the_head_exposed": 0,
+    "12covered_with_a_quilt_and_exposed_other_parts_of_the_body": 1,
+    "13has_nothing_to_do_with_11_and_12_above": 2
+  },
+  "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": "4.36.1"
+}

checkpoint-2/model.safetensors

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checkpoint-2/trainer_state.json

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+  "global_step": 2,
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+  "is_world_process_zero": true,
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config.json

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+  "_name_or_path": "google/vit-base-patch16-224",
+  "_num_labels": 3,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "11covered_with_a_quilt_and_only_the_head_exposed",
+    "1": "12covered_with_a_quilt_and_exposed_other_parts_of_the_body",
+    "2": "13has_nothing_to_do_with_11_and_12_above"
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+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "12covered_with_a_quilt_and_exposed_other_parts_of_the_body": 1,
+    "13has_nothing_to_do_with_11_and_12_above": 2
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+  "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": "4.36.1"
+}

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preprocessor_config.json

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+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
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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": 224
+  }
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training_params.json

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+{
+    "data_path": "lxl2023/autotrain-data-autotrain-3xy9g-unefm1",
+    "model": "google/vit-base-patch16-224",
+    "username": "lxl2023",
+    "lr": 0.0005,
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+    "warmup_ratio": 0.3,
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+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
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+    "seed": 20,
+    "train_split": "train",
+    "valid_split": "validation",
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+    "project_name": "/tmp/model",
+    "auto_find_batch_size": false,
+    "mixed_precision": "no",
+    "save_total_limit": 1,
+    "save_strategy": "epoch",
+    "push_to_hub": true,
+    "repo_id": "lxl2023/autotrain-3xy9g-unefm1",
+    "evaluation_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "none"
+}