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import os
import argparse
import pandas as pd
import matplotlib.pyplot as plt
def plot_evaluation_loss(exp_dir, epoch):
# Build paths
log_dir = os.path.join(exp_dir, 'log')
eval_pkl = os.path.join(log_dir, f'eval_loss_epoch_{epoch}.pkl')
if not os.path.isfile(eval_pkl):
raise FileNotFoundError(f"Evaluation pickle not found: {eval_pkl}")
# Load data
df = pd.read_pickle(eval_pkl)
eval_losses = df['epoch_eval_losses']
epochs = list(range(1, len(eval_losses) * 20, 20))
# Plot
plt.figure(figsize=(10, 5))
plt.plot(epochs, eval_losses, marker='o', linestyle='-', linewidth=1.5, markersize=5)
plt.xlabel('Epoch')
plt.ylabel('Evaluation Loss')
plt.title(f'Evaluation Loss (epoch {epoch})')
plt.grid(True)
# Save
save_dir = os.path.join(exp_dir, 'plots')
os.makedirs(save_dir, exist_ok=True)
out_path = os.path.join(save_dir, f'eval_loss_epoch_{epoch}.png')
plt.tight_layout()
plt.savefig(out_path)
plt.close()
print(f"Saved evaluation plot to {out_path}")
def main():
exp_dir = '/home/bipinshrestha228/GlassForming/new_data_12/original/k_120/Fri-Jun-27-18-00-56-2025'
epoch = 460
plot_evaluation_loss(exp_dir, epoch)
if __name__ == '__main__':
main() |