| import os |
| import matplotlib as mpl |
| import matplotlib.pyplot as plt |
| import pandas as pd |
| from random import shuffle, seed |
|
|
| maps = {"competitor/rival of": "Rival", "friend/ally of": "Ally", "influenced by": "Inf", "known for": "Know", "similar to": "Sim", "average": "Avg"} |
| |
| os.makedirs('figures/fewshots', exist_ok=True) |
| plt.rcParams.update({'font.size': 16}) |
| |
| styles = ['o', "X", '^', 'P'] |
| seed(1) |
| colors = list(mpl.colormaps['tab20b'].colors) |
| shuffle(colors) |
| for prompt in ['qa', 'lc']: |
| df = pd.concat([ |
| pd.read_csv(f"results/lm_{prompt}_zeroshot.csv", index_col=0), |
| pd.read_csv(f"results/lm_{prompt}_fewshots.csv", index_col=0)]) |
|
|
| df_full = pd.read_csv(f"results/lm_{prompt}/lm.csv", index_col=0) |
| for r in maps: |
| tmp = df[[r, "shot", "seed"]] |
| tmp[r] = tmp[r] * 100 |
| ax = None |
| for n, m in enumerate(['Flan-T5\textsubscript{XXL}', 'Flan-UL2', 'OPT\textsubscript{13B}', 'GPT-3\textsubscript{davinci}']): |
| g = tmp.loc[m] |
| full_shot = df_full[[r]].loc[[m]] * 100 |
| full_shot["shot"] = 5 |
| full_shot["seed"] = 0 |
| g = pd.concat([g, full_shot]) |
| if "OPT" in m: |
| |
| m = "OPT" |
| if "Flan-T5" in m: |
| |
| m = "Flan-T5" |
| if "GPT-3" in m: |
| |
| m = "GPT-3" |
| ax = g.plot.line(y=r, |
| x='shot', |
| |
| |
| |
| xlabel="", |
| ylabel="", |
| ax=ax, |
| ms=8, |
| color=colors[n], |
| style=styles[n], |
| label=m, |
| figsize=(4, 5), |
| grid=True) |
| ax.set_xticks([0, 1, 3, 5]) |
| if prompt == 'qa': |
| ax.legend().remove() |
| else: |
| ax.legend(loc='lower right') |
| plt.tight_layout() |
| plt.savefig(f"figures/fewshots/{prompt}.{r.replace(' ', '_').replace('/', '-')}.fewshot.png", bbox_inches="tight", dpi=600) |
|
|
|
|