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Upload model_benchmark.json with huggingface_hub

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  1. model_benchmark.json +21 -21
model_benchmark.json CHANGED
@@ -1,32 +1,32 @@
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  {
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- "model_file": "best_phase2_swa.keras",
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- "architecture": "DenseNet121+Conv2D(256)+BN+MaxPool2D+GeMPooling+Dense(256)+BN+Dropout(0.4)+Dense(8,softmax)",
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- "total_params": 9466953,
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- "trainable_params": 7884297,
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- "non_trainable_params": 1582656,
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  "input_shape": [
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  320,
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  320,
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  3
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  ],
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  "num_classes": 8,
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- "model_size_mb": 97.78,
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- "saved_model_size_mb": 76.29,
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- "tflite_size_kb": 36726.35,
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- "tfjs_size_mb": 36.5,
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- "inference_ms_keras": 365.3,
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- "inference_ms_tflite": 157.9,
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  "metrics": {
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  "train_accuracy": 0.9988,
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- "val_accuracy": 0.9658,
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- "test_accuracy": 0.9688,
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- "test_loss": 0.4485,
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- "tta_accuracy": 0.968,
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- "top1_accuracy": 0.9688,
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- "top2_accuracy": 0.9859,
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- "top3_accuracy": 0.9933,
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- "macro_auc": 0.9986,
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- "ece": 0.1438,
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- "overfitting_gap": 0.03
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  }
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  }
 
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  {
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+ "model_file": "fine_tuning_swa.keras",
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+ "architecture": "EfficientNetV2-S+Conv2D(256)+BN+MaxPool2D+GeMPooling+Dense(256)+BN+Dropout(0.4)+Dense(8,softmax)",
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+ "total_params": 23350633,
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+ "trainable_params": 17810225,
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+ "non_trainable_params": 5540408,
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  "input_shape": [
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  320,
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  320,
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  3
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  ],
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  "num_classes": 8,
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+ "model_size_mb": 226.75,
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+ "saved_model_size_mb": 183.29,
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+ "tflite_size_kb": 90483.55,
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+ "tfjs_size_mb": 89.54,
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+ "inference_ms_keras": 358.0,
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+ "inference_ms_tflite": 170.0,
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  "metrics": {
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  "train_accuracy": 0.9988,
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+ "val_accuracy": 0.9836,
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+ "test_accuracy": 0.9777,
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+ "test_loss": 0.4262,
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+ "tta_accuracy": 0.9799,
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+ "top1_accuracy": 0.9777,
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+ "top2_accuracy": 0.9926,
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+ "top3_accuracy": 0.997,
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+ "macro_auc": 0.9985,
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+ "ece": 0.1204,
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+ "overfitting_gap": 0.0211
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  }
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  }