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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:
+- autotrain-6gama-idpx7/autotrain-data
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: 0.5906022787094116
+
+f1: 0.0
+
+precision: 0.0
+
+recall: 0.0
+
+auc: 1.0
+
+accuracy: 0.5

checkpoint-1/config.json

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+{
+  "_name_or_path": "google/mobilenet_v1_0.75_192",
+  "_num_labels": 2,
+  "architectures": [
+    "MobileNetV1ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.001,
+  "depth_multiplier": 0.75,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "jirafa",
+    "1": "leon"
+  },
+  "image_size": 192,
+  "initializer_range": 0.02,
+  "label2id": {
+    "jirafa": 0,
+    "leon": 1
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v1",
+  "num_channels": 3,
+  "problem_type": "single_label_classification",
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0"
+}

checkpoint-1/model.safetensors

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checkpoint-1/optimizer.pt

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checkpoint-1/rng_state.pth

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checkpoint-1/scheduler.pt

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checkpoint-1/trainer_state.json

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+{
+  "best_metric": 0.5906022787094116,
+  "best_model_checkpoint": "autotrain-6gama-idpx7/checkpoint-1",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 1,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 8.309977531433105,
+      "learning_rate": 5e-05,
+      "loss": 0.708,
+      "step": 1
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.5,
+      "eval_auc": 1.0,
+      "eval_f1": 0.0,
+      "eval_loss": 0.5906022787094116,
+      "eval_precision": 0.0,
+      "eval_recall": 0.0,
+      "eval_runtime": 0.2075,
+      "eval_samples_per_second": 9.638,
+      "eval_steps_per_second": 4.819,
+      "step": 1
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 3,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 13136383475712.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-1/training_args.bin

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config.json

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+{
+  "_name_or_path": "google/mobilenet_v1_0.75_192",
+  "_num_labels": 2,
+  "architectures": [
+    "MobileNetV1ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.001,
+  "depth_multiplier": 0.75,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "jirafa",
+    "1": "leon"
+  },
+  "image_size": 192,
+  "initializer_range": 0.02,
+  "label2id": {
+    "jirafa": 0,
+    "leon": 1
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v1",
+  "num_channels": 3,
+  "problem_type": "single_label_classification",
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 192,
+    "width": 192
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "MobileNetV1ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

training_args.bin

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training_params.json

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+{
+    "data_path": "autotrain-6gama-idpx7/autotrain-data",
+    "model": "google/mobilenet_v1_0.75_192",
+    "username": "yuleysi",
+    "lr": 5e-05,
+    "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": "autotrain-6gama-idpx7",
+    "auto_find_batch_size": false,
+    "mixed_precision": null,
+    "save_total_limit": 1,
+    "save_strategy": "epoch",
+    "push_to_hub": true,
+    "repo_id": "yuleysi/autotrain-6gama-idpx7",
+    "evaluation_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "none"
+}