updates
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@ -1027,6 +1027,7 @@ def plot_results(start=0, stop=0, bucket='', id=()): # from utils.utils import
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y = results[i, x]
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if i in [0, 1, 2, 5, 6, 7]:
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y[y == 0] = np.nan # dont show zero loss values
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# y /= y[0] # normalize
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ax[i].plot(x, y, marker='.', label=Path(f).stem)
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ax[i].set_title(s[i])
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if i in [5, 6, 7]: # share train and val loss y axes
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