Experiment exp_004

Config

json { "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" }

Results

  • Accuracy: 0.9856
  • Macro F1: 0.9856
  • Weighted F1: 0.9856
  • Best Val Acc: 0.9892

Dataset (EDA)

  • Jumlah kelas: 26
  • Jumlah sampel: 15921
  • Min per kelas: 601, Max per kelas: 619
  • Imbalance ratio (max/min): 1.03

Plots

  • train_acc:
  • train_loss:
  • cm_counts:
  • cm_normalized:

Artifacts

  • Models: keras: D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_004\artifacts\best.keras, h5: D:\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, tflite: D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_004\artifacts\model.tflite

Sumber Data

  • Direktori: D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\2. CNN\1.Workplace\Custom_model\runs\exp_004
  • README: ada