Leaderboard Custom Model

exp idmodel idoptimizerimg sizebatch sizelrdropoutaccuracymacro f1weighted f1best val accclassessamplesimbalance ratio
bestDadamw224640.0010.40.98560.98560.98560.989226159211.0300
exp_004Dadamw224640.0010.40.98560.98560.98560.989226159211.0300
exp_002Badam192960.00050.30.81440.81730.81730.820026159211.0300
exp_005Eadamw224640.0010.40.80210.80010.80010.794426159211.0300
exp_001Aadam224640.0010.50.78150.78360.78360.792826159211.0300
exp_003Csgd224640.050.4nannannannan26159211.0300

best

Acc 0.9856 MacroF1 0.9856 WeightedF1 0.9856 Best Val 0.9892
EDA: kelas: 26 · sampel: 15921 · min/max per kelas: 601/619 · imbalance: 1.0300
README: ada
Config
{
  "model_id": "D",
  "img_size": 224,
  "batch_size": 64,
  "optimizer": "adamw",
  "lr": 0.001,
  "weight_decay": 0.0001,
  "dropout": 0.4,
  "patience": 10,
  "lr_schedule": "reduce"
}

Plots

train_acc
train_acc
train_loss
train_loss
cm_counts
cm_counts
cm_normalized
cm_normalized

Artifacts

  • kerasD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\best\artifacts\best.keras
  • h5D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\best\artifacts\final_model.h5
  • tfliteD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\best\artifacts\model.tflite

exp_001

Acc 0.7815 MacroF1 0.7836 WeightedF1 0.7836 Best Val 0.7928
EDA: kelas: 26 · sampel: 15921 · min/max per kelas: 601/619 · imbalance: 1.0300
README: ada
Config
{
  "model_id": "A",
  "img_size": 224,
  "batch_size": 64,
  "optimizer": "adam",
  "lr": 0.001,
  "weight_decay": 0.0,
  "dropout": 0.5,
  "patience": 8,
  "lr_schedule": "reduce"
}

Plots

train_acc
train_acc
train_loss
train_loss
cm_counts
cm_counts
cm_normalized
cm_normalized

Artifacts

  • kerasD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_001\artifacts\best.keras
  • h5D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_001\artifacts\final_model.h5
  • tfliteD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_001\artifacts\model.tflite

exp_002

Acc 0.8144 MacroF1 0.8173 WeightedF1 0.8173 Best Val 0.8200
EDA: kelas: 26 · sampel: 15921 · min/max per kelas: 601/619 · imbalance: 1.0300
README: ada
Config
{
  "model_id": "B",
  "img_size": 192,
  "batch_size": 96,
  "optimizer": "adam",
  "lr": 0.0005,
  "weight_decay": 0.0001,
  "dropout": 0.3,
  "patience": 10,
  "lr_schedule": "reduce"
}

Plots

train_acc
train_acc
train_loss
train_loss
cm_counts
cm_counts
cm_normalized
cm_normalized

Artifacts

  • kerasD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_002\artifacts\best.keras
  • h5D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_002\artifacts\final_model.h5
  • tfliteD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_002\artifacts\model.tflite

exp_003

Acc MacroF1 WeightedF1 Best Val
EDA: kelas: 26 · sampel: 15921 · min/max per kelas: 601/619 · imbalance: 1.0300
README: tidak ada
Config
{
  "model_id": "C",
  "img_size": 224,
  "batch_size": 64,
  "optimizer": "sgd",
  "lr": 0.05,
  "weight_decay": 0.0001,
  "dropout": 0.4,
  "patience": 10,
  "lr_schedule": "cosine"
}

Plots

Plot tidak ditemukan

Artifacts

Model artifacts tidak ditemukan

exp_004

Acc 0.9856 MacroF1 0.9856 WeightedF1 0.9856 Best Val 0.9892
EDA: kelas: 26 · sampel: 15921 · min/max per kelas: 601/619 · imbalance: 1.0300
README: ada
Config
{
  "model_id": "D",
  "img_size": 224,
  "batch_size": 64,
  "optimizer": "adamw",
  "lr": 0.001,
  "weight_decay": 0.0001,
  "dropout": 0.4,
  "patience": 10,
  "lr_schedule": "reduce"
}

Plots

train_acc
train_acc
train_loss
train_loss
cm_counts
cm_counts
cm_normalized
cm_normalized

Artifacts

  • kerasD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_004\artifacts\best.keras
  • h5D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_004\artifacts\final_model.h5
  • tfliteD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_004\artifacts\model.tflite

exp_005

Acc 0.8021 MacroF1 0.8001 WeightedF1 0.8001 Best Val 0.7944
EDA: kelas: 26 · sampel: 15921 · min/max per kelas: 601/619 · imbalance: 1.0300
README: ada
Config
{
  "model_id": "E",
  "img_size": 224,
  "batch_size": 64,
  "optimizer": "adamw",
  "lr": 0.001,
  "weight_decay": 0.0001,
  "dropout": 0.4,
  "patience": 10,
  "lr_schedule": "reduce"
}

Plots

train_acc
train_acc
train_loss
train_loss
cm_counts
cm_counts
cm_normalized
cm_normalized

Artifacts

  • kerasD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_005\artifacts\best.keras
  • h5D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_005\artifacts\final_model.h5
  • tfliteD:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_005\artifacts\model.tflite