Experiment exp_001

Config

json { "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" }

Results

  • Accuracy: 0.7815
  • Macro F1: 0.7836
  • Weighted F1: 0.7836
  • Best Val Acc: 0.7928

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_001\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_001\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_001\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_001
  • README: ada