Experiment exp_tl_005

Config

json { "model_id": "Xception", "img_size": 224, "batch_size": 48, "optimizer": "adamw", "lr_head": 0.001, "lr_ft": 0.0001, "weight_decay": 1e-05, "label_smoothing": 0.05, "dropout": 0.4, "head_epochs": 10, "ft_epochs": 30, "finetune": true, "unfreeze_pct": 0.35, "lr_schedule": "reduce", "patience": 8 }

Results

  • Accuracy: 0.9928
  • Macro F1: 0.9928
  • Weighted F1: 0.9928
  • Best Val Acc: 0.9949

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\3. Transferlearning\runs\exp_tl_005\artifacts\best_ft.keras, h5: D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\3. Transferlearning\runs\exp_tl_005\artifacts\final_model.h5, tflite: D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\3. Transferlearning\runs\exp_tl_005\artifacts\model_fp16.tflite

Sumber Data

  • Direktori: D:\Dhika\(KULIAH)\'Skripsi\Github\Fix_TA_Project\Fix_TA_Project\1. Workspace\3. Transferlearning\runs\exp_tl_005
  • README: ada