common/plot/plot_pretrain_ablation_mar.py

import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

font = {
    "family": "normal",
    "size": 22,
}

matplotlib.rc("font", **font)
sns.set(rc={"font.family": "Times New Roman"})
sns.set(style="whitegrid")
sns.set(font_scale=3, style="whitegrid")

# Sample data for plotting
categories = ["Scratch", "Passive Pre-Train", "Pre-Train", "Pre-Train (Large)"]
values = [1.0, 1.0, 1.0, 1.0]

# Define custom colors for the bars
colors = ["#4c72b0", "#55a868", "#c44e52", "#8172b2"]  # Adjust as needed

plt.figure(figsize=(14, 12))
ax = sns.barplot(
    x=categories, y=values, alpha=0.9, palette=colors, edgecolor="black"
)
for container in ax.containers:
    ax.bar_label(container, label_type="edge", fontsize="x-large", fmt="%.2f")

# Adding title and labels
plt.xlabel("Setting", fontsize=40)
plt.ylabel("Validation Perplexity", fontsize=40)
plt.xticks(fontsize=30)
ax.tick_params(axis='x', rotation=15)  
plt.yticks(fontsize=30)
plt.legend(fontsize="small", title_fontsize="small", loc="lower left")

# Remove the borders
sns.despine(left=True, bottom=True)

# Display the plot
plt.tight_layout()
plt.savefig(f"output/model_ablation.png", dpi=300)  # Save the figure in high resolution
plt.show()