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Published in 2022 at "Natural Language Engineering"
DOI: 10.1017/s1351324922000225
Abstract: Abstract Recent research has reported that standard fine-tuning approaches can be unstable due to being prone to various sources of randomness, including but not limited to weight initialization, training data order, and hardware. Such brittleness…
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Keywords:
training data;
astra astray;
task;
fine tuning ... See more keywords