mirror of
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synced 2024-10-01 01:06:10 -04:00
30 lines
904 B
Python
Executable File
30 lines
904 B
Python
Executable File
#!/usr/bin/env python3
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import glob
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import pickle
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import numpy as np
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from matplotlib import pyplot as plt
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plt.figure()
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for fpath in glob.glob('./eval_data/*.pkl'):
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parts = fpath.split('__')
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model_name = "-".join(fpath.replace(".pkl", "").split("_")[2:])
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with open(fpath, 'rb') as f:
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data = pickle.load(f)
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perplexities = data['perplexities']
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perplexities = np.nan_to_num(perplexities, 100)
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perplexities = np.clip(perplexities, 0, 100)
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if 'alpaca' not in fpath:
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identifier = model_name = "-".join(fpath.replace(".pkl", "").split("eval__model-")[1:])
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label = 'GPT4all-'
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label += identifier
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else:
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label = 'alpaca-lora'
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plt.hist(perplexities, label=label, alpha=.5, bins=50)
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plt.xlabel('Perplexity')
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plt.ylabel('Frequency')
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plt.legend()
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plt.savefig('figs/perplexity_hist.png')
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