Pros
# base/kuku_base_model.py import torch import torch.nn as nn import pytorch_lightning as pl from torchmetrics import Accuracy
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results = [] for ckpt_dir in glob.glob("checkpoints/set_01/ /best .ckpt"): variant = ckpt_dir.split("/")[2] # e.g., "kuku_01_04" # Parse best_val_acc from filename acc = float(ckpt_dir.split("val_acc=")[-1].replace(".ckpt","")) results.append("variant": variant, "best_val_acc": acc)
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