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Check out the documentation for more information.
DeBERTa trained from scratch
Source data: https://dumps.wikimedia.org/archive/2006/
Tools used: https://github.com/mikesong724/Point-in-Time-Language-Model
2006 wiki archive 2.7 GB trained 24 epochs = 65GB
GLUE benchmark
cola (3e): matthews corr: 0.2848
sst2 (3e): acc: 0.8876
mrpc (5e): F1: 0.8033, acc: 0.7108
stsb (3e): pearson: 0.7542, spearman: 0.7536
qqp (3e): acc: 0.8852, F1: 0.8461
mnli (3e): acc_mm: 0.7822
qnli (3e): acc: 0.8715
rte (3e): acc: 0.5235
wnli (5e): acc: 0.3099
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