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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+base_model: google/mobilenet_v2_1.0_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: 0.5388542413711548
+
+f1: 1.0
+
+precision: 1.0
+
+recall: 1.0
+
+auc: 1.0
+
+accuracy: 1.0

checkpoint-3/config.json

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+{
+  "_name_or_path": "google/mobilenet_v2_1.0_224",
+  "_num_labels": 2,
+  "architectures": [
+    "MobileNetV2ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.2,
+  "depth_divisible_by": 8,
+  "depth_multiplier": 1.0,
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "maduras",
+    "1": "normales"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "maduras": 0,
+    "normales": 1
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+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 32,
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.2"
+}

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checkpoint-3/trainer_state.json

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+  "best_model_checkpoint": "clasificador-de-bananas/checkpoint-3",
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 3,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+  "num_train_epochs": 10,
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config.json

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+  "_num_labels": 2,
+  "architectures": [
+    "MobileNetV2ForImageClassification"
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+  "depth_divisible_by": 8,
+  "depth_multiplier": 1.0,
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
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+    "1": "normales"
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+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 32,
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.2"
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preprocessor_config.json

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training_params.json

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+    "data_path": "clasificador-de-bananas/autotrain-data",
+    "model": "google/mobilenet_v2_1.0_224",
+    "username": "KCAZAR",
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+    "mixed_precision": "none",
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+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "tensorboard",
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+    "early_stopping_threshold": 0.01
+}